discrimination in selection decisions: integrating...

24
r Academy of Management Journal 2015, Vol. 58, No. 3, 789812. http://dx.doi.org/10.5465/amj.2013.0571 DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING STEREOTYPE FIT AND INTERDEPENDENCE THEORIES SUN YOUNG LEE University of College London MARKO PITESA University of Maryland STEFAN THAU INSEAD MADAN M. PILLUTLA London Business School We integrate stereotype fit and interdependence theories to propose a model that explains how and why decision makers discriminate in selection decisions. Our model suggests that decision makers draw on stereotypes about members of different social groups to infer the degree to which candidates possess the specific ability required for the task. Decision makers perceive candidates that have a greater ability required for the task as less (more) instrumental to their personal outcomes if they expect to compete (cooperate) with the candidate, and they discriminate in favor of candidates that are perceived as more instrumental to them. We tested our theory in the context of racial (Studies 13) and age (Study 4) discrimination in selection decisions with all-male samples and found evidence consistent with our predictions. By explaining when and why decision makers discriminate in favor of, but also against, members of their own social group, this research may help to explain the mixed support for the dominant view that decision makers exhibit favoritism toward candidates that belong to the same social group. In addition, our research demonstrates the importance of considering the largely overlooked role of interdependent relationships within the organization in order to understand discrimination in organizations. Discrimination, or differential treatment based on membership to social groups based on aspects such as race, age, religion, and gender (Lippert-Rasmussen, 2006), continues to be a major problem in organi- zations. For example, in the United States 38,221 race-based employment discrimination charges were filed in 2011 alone (U.S. Equal Employment Oppor- tunity Commission, 2011). Because discrimination involves treatment of individuals based on cues that are unrelated to work performance, it can lead to suboptimal organizational decisions such as the hiring of less qualified candidates (Bertrand & Mullainathan, 2003). Workplace discrimination also undermines broader societal goals of social justice and equality of opportunity (Fassinger, 2008). Discrimination in organizations begins with se- lection decisions, which are defined as decisions aimed at choosing people for the fulfillment of jobs(Roe, 1998: 5). Examples of selection decisions include recruitment decisions and decisions about the allocation of individuals to specific work tasks. Because selection decisions determine such a major outcome for candidatesthat is, getting versus not getting the job one is applying forthey are hugely impactful with respect to individualscareer and pay progression (Boudreau, Boswell, & Judge, 2001; Gatewood, Feild, & Barrick, 2008). In this research, we seek to advance understanding of this important phenomenon. A large body of research has argued that decision makers exhibit favoritism toward candidates that belong to their own social group (e.g., candidates of the same race, gender, or age) when making selec- tion decisions (Finkelstein, Burke, & Raju, 1995; Goldberg, 2005; Lin, Dobbins, & Farh, 1992; Pager & 789 Copyright of the Academy of Management, all rights reserved. Contents may not be copied, emailed, posted to a listserv, or otherwise transmitted without the copyright holders express written permission. Users may print, download, or email articles for individual use only.

Upload: others

Post on 02-Aug-2020

4 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

r Academy of Management Journal2015, Vol. 58, No. 3, 789–812.http://dx.doi.org/10.5465/amj.2013.0571

DISCRIMINATION IN SELECTION DECISIONS:INTEGRATING STEREOTYPE FIT AND

INTERDEPENDENCE THEORIES

SUN YOUNG LEEUniversity of College London

MARKO PITESAUniversity of Maryland

STEFAN THAUINSEAD

MADAN M. PILLUTLALondon Business School

We integrate stereotype fit and interdependence theories to propose a model thatexplains how and why decision makers discriminate in selection decisions. Our modelsuggests that decision makers draw on stereotypes about members of different socialgroups to infer the degree to which candidates possess the specific ability required forthe task. Decisionmakers perceive candidates that have a greater ability required for thetask as less (more) instrumental to their personal outcomes if they expect to compete(cooperate) with the candidate, and they discriminate in favor of candidates that areperceived as more instrumental to them. We tested our theory in the context of racial(Studies 1–3) and age (Study 4) discrimination in selection decisions with all-malesamples and found evidence consistent with our predictions. By explaining when andwhy decision makers discriminate in favor of, but also against, members of their ownsocial group, this research may help to explain the mixed support for the dominant viewthat decision makers exhibit favoritism toward candidates that belong to the same socialgroup. In addition, our research demonstrates the importance of considering the largelyoverlooked role of interdependent relationships within the organization in order tounderstand discrimination in organizations.

Discrimination, or differential treatment based onmembership to social groups based on aspects suchas race, age, religion, and gender (Lippert-Rasmussen,2006), continues to be a major problem in organi-zations. For example, in the United States 38,221race-based employment discrimination charges werefiled in 2011 alone (U.S. Equal Employment Oppor-tunity Commission, 2011). Because discriminationinvolves treatment of individuals based on cues thatare unrelated to work performance, it can lead tosuboptimal organizational decisions such as thehiring of less qualified candidates (Bertrand &Mullainathan, 2003). Workplace discriminationalso undermines broader societal goals of socialjustice and equality of opportunity (Fassinger,2008).

Discrimination in organizations begins with se-lection decisions, which are defined as decisions

“aimed at choosing people for the fulfillment ofjobs” (Roe, 1998: 5). Examples of selection decisionsinclude recruitment decisions and decisions aboutthe allocation of individuals to specific work tasks.Because selection decisions determine such a majoroutcome for candidates—that is, getting versus notgetting the job one is applying for—they are hugelyimpactful with respect to individuals’ career andpay progression (Boudreau, Boswell, & Judge, 2001;Gatewood, Feild, & Barrick, 2008). In this research,we seek to advance understanding of this importantphenomenon.

A large body of research has argued that decisionmakers exhibit favoritism toward candidates thatbelong to their own social group (e.g., candidates ofthe same race, gender, or age) when making selec-tion decisions (Finkelstein, Burke, & Raju, 1995;Goldberg, 2005; Lin, Dobbins, & Farh, 1992; Pager &

789

Copyright of the Academy of Management, all rights reserved. Contents may not be copied, emailed, posted to a listserv, or otherwise transmitted without the copyright holder’s expresswritten permission. Users may print, download, or email articles for individual use only.

Page 2: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

Shepherd, 2008; Prewett-Livingston, Feild, Veres, &Lewis, 1996; Whitley & Kite, 2009). The racial dis-crimination literature provides a good example ofthis argument, in that decision makers are generallythought to discriminate in favor of candidates oftheir own race (Bertrand & Mullainathan, 2003;Goldberg, 2005; Lin et al., 1992; Pager, Western, &Bonikowski, 2009; Prewett-Livingston et al., 1996;Triandis, 1963). However, a close look at empiricalstudies reveals that evidence for this theory of dis-crimination in selection decisions is mixed. Somestudies have found no racial preference (Lai &Babcock, 2012; Lewis & Sherman, 2003; McFarland,Ryan, Sacco, & Kriska, 2004; Sacco, Scheu, Ryan, &Schmitt, 2003; Stewart & Perlow, 2001), while oth-ers even find that decision makers prefer candidatesof different races (King, Mendoza, Madera, Hebl, &Knight, 2006; Linville & Jones, 1980; McIntyre,Moberg, & Posner, 1980; Mullins, 1982; Terpstra &Larsen, 2011). The mixed body of evidence is notlimited to racial discrimination. The literature onage discrimination is another example. Some stud-ies have found no age-based preference (Connor,Walsh, Litzelman, & Alvarez, 1978; Hitt & Barr,1989) and others have even highlighted a preferencefor candidates who belong to different age groups(Bell & Stanfield, 1973; Schwab & Heneman, 1978;Singer & Sewell, 1989).

How can these mixed findings be explained?In this paper, we integrate stereotype fit theory(Dipboye, 1985; Heilman, 1983) with interdependencetheory (Deutsch, 1949) to provide a novel theoreticalmodel of how and why decision makers discriminatewhen making selection decisions. Figure 1 containsan overview of our theoretical model. The key pre-diction of the model is that decision makers dis-criminate in favor of candidates perceived to berelatively more instrumental (i.e., helpful) to theirpersonal outcomes in the organizational contextmarked by different task requirements and expecteddecision-maker–candidate interdependence. Weposit that decision makers draw on stereotypicalbeliefs about members of different social groups toinfer the degree to which candidates possess thespecific ability required for the task for which they arebeing considered (Heilman, 1983). In addition, weargue that decision makers take into account the typeof expected interdependence with the candidateto judge how instrumental the candidate would beto their personal outcomes (Deutsch, 1949). If thedecision maker expects to compete (cooperate)with the candidate, candidates stereotyped as hav-ing a greater ability with respect to the task are

perceived as less (more) instrumental to the de-cision maker as they represent more capable com-petitors (cooperators). Decision makers prefercandidates that are perceived as more instrumentalto them, which determines the pattern of discrimi-nation in selection decisions.

We tested our theory across four studies: a labexperiment, a field experiment, and two onlineexperiments among male employees. We began thisresearch by testing our theory in the context of racialdiscrimination in Studies 1–3, because racial dis-crimination has traditionally been one of the coreresearch contexts in the employment discrimina-tion literature (Dovidio & Gaertner, 2000; Kraiger &Ford, 1985; McIntyre et al., 1980). Race is also one ofthe primary characteristics by which people cate-gorize others (Macrae & Bodenhausen, 2000), andhas served as the basis for some of the most wide-spread and egregious forms of discrimination, in-cluding discrimination at work (Fredrickson, 2002).In Study 4, we extended this research by testing ourtheory in the context of age discrimination. Thepurpose of this extension is to provide additionalevidence for the generalizability of our theoreticalmodel. Age discrimination is a timely context to testour theory, given the ageing workforce in the UnitedStates and other industrial nations (Feyrer, 2007).The U.S. Census Bureau (2012) forecasts that by theyear 2042, one in five Americans will be 65 or older,and more and more older workers are delaying re-tirement and remaining in the workforce (EmployeeBenefit Research Institute, 2013).

This paper makes two key contributions. First, thedominant theoretical paradigm underlying severaldecades of research on discrimination in selectiondecisions suggests that decision makers discriminate

FIGURE 1Overview of the Theoretical Model

790 JuneAcademy of Management Journal

Page 3: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

in favor of candidates that belong to the decisionmakers’ own social group (Allport, 1954; Pager &Shepherd, 2008; Whitley & Kite, 2009). However,as noted previously, some research has not foundsupport for this, or has even identified oppo-site discriminatory tendencies, highlighting theneed for a theory that specifies conditions underwhich decision makers prefer candidates whobelong to the same social group, as well as con-ditions under which such candidates are dis-criminated against. This research proposes andtests such a theory.

Second, we contribute to research on discrimi-nation in organizations by theoretically situatingdecision makers’ behavior in the context ofinterdependent relationships within the organi-zation and specifying how different types of in-terdependence between the decision maker and thecandidate determine the pattern of discriminationin selection decisions. The majority of past expla-nations of discrimination in organizations has as-sumed that decision makers expect no futurerelationship with the candidate (Brief, Dietz, Cohen,Pugh, & Vaslow, 2000). Yet, selection decisions areoften made in the context of anticipated intra-organizational interdependence between the de-cision maker and the candidate (Edenborough, 2005;Harris, Brewster, & Sparrow, 2003). We demonstratethe importance of taking into account this feature ofthe organizational context by showing that it canfundamentally change how individuals discriminatein selection decisions.

THEORY

The dominant view of discrimination in organi-zations is that decision makers exhibit (some de-gree of) favoritism toward candidates that belong tothe same social group when making selection deci-sions (Allport, 1954; Pager & Shepherd, 2008;Whitley & Kite, 2009). The reason why decisionmakers discriminate in this way has been explainedby several related theoretical perspectives, whichwe briefly summarize below.

The social identity approach suggests that peoplecategorize others as being in-group or out-groupmembers based on salient individual characteristics(Tajfel & Turner, 1979). Categorization activatespositive cognitive and emotional reactions towardin-group members and derogatory responses to-ward out-group members, a phenomenon that issaid to serve the function of self-esteem enhance-ment. The positive reactions toward in-group

members should lead to their preferential selec-tion in organizations.

Likewise, the similarity-attraction model (Byrne &Nelson, 1965) suggests that people find interactionswith similar others to serve as a means of positivereinforcement, and thus exhibit greater liking forthose who correspond with them in terms of char-acteristics such as attitudes, race, and age (Byrne &Nelson, 1965). Because similar individuals are likedmore, people should prefer them in selection deci-sions (Peters & Terborg, 1975).

Finally, theoretical perspectives that emphasizeintergroup conflict, including realistic conflict the-ory (Campbell, 1965; Sherif, Harvey,White, Hood, &Sherif, 1961), the stereotype content model (Fiske,Cuddy, Glick, & Xu, 2002), and evolutionary models(e.g., Schaller, Park, & Mueller, 2003), suggest thatcompetition with out-groups creates favoritism formembers of the same social group and hostility to-ward members of different social groups.

Although past research finds some support for theprediction that decision makers discriminate in fa-vor of candidates that belong to the same socialgroup, a sizeable body of research has failed to findsupport for this prediction, and some papers haveeven found an opposite trend, as we noted at theoutset of the paper. In the subsequent sections, weaddress this explanatory problem by proposinga novel theoretical model that diverges from pastperspectives by making the prediction that, undercertain conditions, decision makers will system-atically discriminate in favor of candidates thatbelong to different social groups. For this reason,our theory may explain the seeming irregularity inthe pattern of discrimination in selection deci-sions, and in that way provide insights into thefundamental processes driving discrimination inorganizations.

Candidate Social Group Membership–TaskRequirement Stereotype Fit

Our model proposes that those in charge of se-lection decisions make inferences about the degreeto which candidates possess the specific ability re-quired for the task based (among other things) onstereotypical beliefs about different social groups,such as racial or age groups, to which the candidatebelongs. Stereotypes are generalized beliefs aboutcharacteristics that are possessed by people whobelong to certain social groups (Hilton & Von Hippel,1996; Lippman, 1922), and constitute a mecha-nism by which people interpret and manage the

2015 791Lee, Pitesa, Thau, and Pillutla

Page 4: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

wealth of social stimuli encountered in everydaylife (Hamilton, 1979; Taylor, 1981). For instance,people often infer that Asian individuals will behighly competent in quantitative tasks (Shih, Pittinsky,& Ambady, 1999).

Drawing on stereotypical beliefs about differentsocial groups, decision makers may infer the degreeto which candidates possess the ability required forsuccessful fulfillment of the specific organizationaltasks for which the candidate is being considered.Task specialization is a fundamental means bywhich organizations attain their goals (March &Simon, 1958;Weber, 1947), and organizations attemptto match tasks with individuals who have the abil-ities required for successful execution of these tasks(Kristof, 1996). Although many tasks require mul-tiple abilities, in most cases different abilities arenot of equal importance for successful performancein the given task. Therefore, it follows that oneability will be more important than others for suc-cessful performance in a given task (Durkheim,1997). Stereotypical beliefs about the abilities ofmembers of different social groups constitute onesource of information about the degree to which thecandidate possesses the ability required for the task.For instance, if the task requires strong quantitativeskills, an Asian candidate (stereotyped as havingstrong quantitative skills) should be more likely tobe seen as having a greater ability required for thetask compared to a white candidate (for whom thestereotypical belief concerning quantitative skills isnot as positive).

This proposition is consistent with the stereotypefit hypothesis (Dipboye, 1985; Heilman, 1983),which suggests that decision makers perceivemembers of different social groups to be a better orlesser fit (i.e., possessing different levels of the re-quired characteristics) for specific work tasks basedon the stereotypes held about their social group. Forinstance, women might be stereotyped as lackingmasculine traits and therefore unfit for tasks re-quiring such characteristics (Glick, Zion, & Nelson,1988). Similarly, we expect that decision makersinfer the degree to which candidates possess thespecific ability required for the task based on ste-reotypical beliefs about the abilities of the candi-date’s social group. At a more general level, thisproposition is also consistent with the statisticaltheory of discrimination formulated in the eco-nomics literature (Arrow, 1973; Phelps, 1972),which suggests that in the context where employerslack perfect information, they estimate candidates’expected performance by drawing on their naıve

beliefs about the average performance of differentsocial groups.1

Decision-Maker–Candidate Interdependence

Our theory further suggests that the expected in-terdependence between the decision maker and thecandidate affects the pattern of discrimination inselection decisions. As outlined in the introduction,a major problem we see with most extant models ofdiscrimination in organizations is that they assumethat decision makers act in a social vacuum and arein no way personally affected by the future perfor-mance of the candidate.

Yet, decision makers often make selection deci-sions that lead to introduction of the candidate intotheir own organization or work team (Edenborough,2005; Harris et al., 2003). For example, in thefinancial services company J.P. Morgan, employeesparticipate in making selection decisions abouttheir future peers (J.P. Morgan, 2013). Google hasa similar policy, whereby employees evaluate theirfuture peers and have a say in selection decisions(Google, 2013). In academic departments, candi-dates are often selected by members of the samedepartment (Darley, Zanna, & Roediger, 2003).

For this reason, decision makers should expect can-didates’ future performance to also be relevant to theirpersonal outcomes. For example, a decisionmakermaybelieve that a capable candidate may be suitable fora position that the decision maker aspires to, and thusrepresents a potential threat in terms of career ad-vancement. In a different situation, a capable candidatemay be viewed as a future collaborator who can im-prove the decision maker’s career prospects. Althoughsuch expected interdependence can have importantimplications for interpersonal decisions (Deutsch, 1949;Kelley & Thibaut, 1978), it has largely been overlookedby past research on selection decisions.

Two main types of interdependence have beendistinguished in the organizational literature: co-operation and competition (Deutsch, 1949; Johnson& Johnson, 1989; Kelley & Thibaut, 1978; Wageman,1995). The way the organization arranges rewards

1 Statistical theory of discrimination focuses on socialgroup membership as a signal of general work ability,rather than a particular ability required for a specific task.Yet, different social groups may be stereotyped as com-petent in one work domain but not another (e.g., for thecase of Asians, see Berdahl & Min, 2012; Sy et al., 2010).For this reason, we focus on stereotypes related to theparticular ability required for a specific task.

792 JuneAcademy of Management Journal

Page 5: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

and tasks can create the expectation that the decisionmaker’s outcomeswill be either positively (cooperativeinterdependence) or negatively (competitive interde-pendence) correlated with the candidate’s outcomes(Deutsch, 1949; Johnson & Johnson, 1989; Kelley &Thibaut, 1978). For example, in many positions,employees’ performance is assessedrelative to the per-formance of their coworkers, thereby creating compet-itive interdependence (Becker & Huselid, 1992). Inother cases, organizations evaluate and remuneratejoint performance of teams, thus creating cooperativeinterdependence between team members (Sundstrom,De Meuse, & Futrell, 1990). Many situations entailamix of cooperative and competitive elements, but thetwo are rarely perfectly balanced in the real world(Tjosvold, 1988; Tjosvold, Andrews, & Struthers,1991). For that reason, one of the two types of inter-dependence generally serves as a more salient guidefor behavior (Deutsch, 1949; Johnson& Johnson, 1989).

We propose that the nature of interdependencebetween the decision maker and the candidate willdetermine whether the decision maker discrimi-nates against or in favor of the candidate that is ste-reotyped as having a greater ability required for thetask. When expecting competitive interdependence,a candidate that is stereotyped as having a greaterability required for the task will be seen as less in-strumental (i.e., more threatening) to the decisionmaker’s personal outcomes, because the candidatewill represent a more capable future competitor.Thus, in this situation decision makers should dis-criminate against the candidate that is stereotypedas having a greater ability required for the task.

Hypothesis 1. When decision makers expect tocompete with a candidate, they discriminateagainst candidates that are stereotyped ashaving a greater ability required for the task.

In contrast, when the decision maker expects tocooperate with a candidate, a candidate that is ste-reotyped as having a greater ability required for thetask will be seen as more instrumental (i.e., morehelpful) to the decision maker’s personal outcomesbecause such a candidate will represent a more ca-pable future cooperator. Thus, in this situation de-cision makers should discriminate in favor of thecandidate that is stereotyped as having a greaterability required for the task.

Hypothesis 2. When decision makers expectto cooperate with a candidate, they discrimi-nate in favor of candidates that are stereotypedas having a greater ability required for the task.

The underlying psychological mechanism impliedby our theory is that decision makers discriminatein favor of candidates that are seen as more in-strumental to their personal goals. This theoreticalformulation implies a mediated moderation modelwhereby the stereotypical perception of a candidate’sgreater ability required for the task leads to lower(higher) selection preference when the decisionmaker and the candidate are expected to compete(cooperate) due to the lower (higher) perceived in-strumentality of the candidate to the decision maker.Figure 2 depicts this moderated mediation model.

Hypothesis 3. Stereotypical perception ofa candidate’s greater ability required for thetask leads to a lower (higher) perception of theinstrumentality of the candidate to the decisionmaker when the two are expected to compete(cooperate), in turn causing lower (higher) se-lection preference.

STUDY 1: METHODS

The initial test of our theory (Studies 1–3) wasconducted in the context of racial discriminationin selection decisions between White and Asiancandidates. The focus on White candidates ensuredcontinuity with past research on selection deci-sions, which predominately considered White asthe race that is discriminated in favor of (Pager &Shepherd, 2008; Whitley & Kite, 2009). We choseAsians as the non-White comparison group becauseAsians constitute not only the largest racial group inthe world (Central Intelligence Agency, 2013), butalso the largest group of legal immigrants to theUnited States (Pew Research Center, 2013) and theUnited Kingdom (Office for National Statistics,2013). Our choice also has a practical value: Despiteindications that Asians are discriminated against inthe workplace (Bell, Harrison, & McLaughlin, 1997;Kim & Lewis, 1994; Tang, 1993), the literature onracial discrimination in organizations has largelyoverlooked this group (Cheng & Thatchenkery, 1997).

To test our theory, we examined discriminationin selection decisions for tasks in which Whitesversus Asians are stereotyped as having a greaterability required for successful performance in thetask. Most research shows that Asians and Whitesare stereotyped similarly in terms of global stereo-typical perceptions—that is, as relatively compe-tent but somewhat cold (Cuddy, Fiske, & Glick,2007; Sanchez & Bonam, 2009; Wong, 1980).However, the competence dimension can be furtherdifferentiated into intellectual competence and

2015 793Lee, Pitesa, Thau, and Pillutla

Page 6: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

dominance to identify differences in stereotypicalbeliefs about Asians versus Whites. Specifically,Asians are stereotyped as more intellectually com-petent but less dominant than Whites (Berdahl &Min, 2012; Sy et al., 2010). The perception of in-tellectual competence focuses on general cognitiveabilities and is defined by such characteristics asintelligent, smart, knowledgeable, and skilled,whereas the perception of dominance focuses oninterpersonal abilities and is defined by such char-acteristics as dominant, assertive, persuasive, andself-confident (Ridgeway, 1987; Wiggins, Phillips, &Trapnell, 1989).

Given the differential stereotypes of Asians andWhites in terms of intellectual competence anddominance, we tested our theory by examiningselection decisions between Asian versus Whitecandidates for tasks requiring either primarily in-tellectual competence or primarily dominance forsuccessful performance. Our hypotheses implythat when decision makers select candidates fortasks that require intellectual competence, andthese decision makers expect to be competitively(cooperatively) interdependent with the candidatewho is hired, they should discriminate against (infavor of) Asian candidates because Asians arestereotyped as having a greater ability required forthe task. In contrast, when decision makers selectcandidates for tasks requiring predominatelydominance, and these decision makers expect tobe competitively (cooperatively) interdependentwith the candidate who is hired, they should dis-criminate against (in favor of) White candidates,

because Whites are stereotyped as having a greaterability required for the task. Finally, the percep-tion of the instrumentality of the candidate to thedecision maker should mediate these discrimina-tory tendencies.

Participants and Design

A total of 98% of White males recruited froma university subject pool (mean age 5 27.75, SD 57.34) took part in a lab experiment in exchange for£10.2 Given the large body of research documentingdifferential treatment as a function of both candi-date’s and decision maker’s gender (Olian, Schwab,& Haberfeld, 1988), we sought to minimize this ad-ditional source of variance by focusing on (same-sex) dyads of males in all studies.3 In addition,Study 1 used a sample of White individuals forreasons of continuity with past research, whichpurported to document a preference for White can-didates primarily among White decision makers(Goldberg, 2005; Pager & Shepherd, 2008; Whitley &Kite, 2009). We sought to demonstrate that thistendency can reverse in favor of non-White candi-dates under conditions specified by our theory, andin that way provide a conservative test of our model.

FIGURE 2The Role of Perceived Candidate Instrumentality in Racial Discrimination: Moderated Mediation Model

2 In this and all subsequent studies, no participantswere excluded.

3 We return to this point in the general discussion,where we consider the generalizability of our theory towomen.

794 JuneAcademy of Management Journal

Page 7: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

Participants were randomly assigned to the con-ditions of a 2 (interdependence: competition versuscooperation; between-subject) 3 2 (task requirement:intellectual competence versus dominance; between-subject) 3 2 (candidate race: Asian versus White;within-subject) design.

Procedure and Materials

Participants arrived at the lab in groups of betweenfour and six and were told by the experimenter thatthey would participate in a tournament along withother participants. The tournament purportedly con-sisted of two parts: tournament participant selectionand three rounds of tournament tasks. The partic-ipants were told that tournament member selectionwould be conducted individually in separate rooms.Afterward, all participants would engage in tourna-ment tasks in a larger room. As the lab was runningmultiple experiments at the same time, participantswere able to see both Whites and Asians in the wait-ing area, which was expected to make the cover storymore convincing. In reality, we were only interestedin participants’ selection decisions, and the tourna-ment did not actually take place.

We seated the participant in an individual room,and the experimenter then asked the participant tocomplete a one-page profile sheet, including dif-ferent personal information such as name, date andcountry of birth, length of residence in the UnitedKingdom, educational history, fluency in English,and hobbies. After about three minutes, the experi-menter re-entered the room to collect the partic-ipant’s profile sheet and told the participant thefollowing: “You will select another participant forthe tournament. I will come back with the profilesheets of the candidates. While you are waiting,please spend time familiarizing yourself with therules of the tournament.” Then, the experimenterhanded over a one-page tournament instructionsheet, which contained our manipulations of taskrequirement and interdependence.

Task requirement manipulation and pretest.Task requirement was manipulated by varying thetasks the tournament was said to consist of. Partic-ipants in the intellectual competence condition readthat the tournament consisted of forecasting theprice of a stock based on contextual informationsuch as the price of related goods. They were pro-vided with several sample questions and answers.This task was the probability learning task, whichhas been shown to require primarily intellectualcompetence (Hagafors & Brehmer, 1983). Participants

in the dominance condition read that they woulddebate on controversial topics. Debating is knownto require dominance-related capabilities such asself-confidence, persuasiveness, and assertiveness(Johnson, 2009). The instruction sheet includedseveral sample topics, such as the importance oflove in marriage and the importance of financialversus non-financial rewards for employeemotivation.

We conducted a task requirement pretest amongan independent sample of adult males (n 5 51;mean age5 27.39, SD5 7.94) to verify that the stockprice forecasting task was seen as requiring a higherlevel of intellectual competence (and less domi-nance) compared to the debating task. Participantsfor this and all other pretests were recruited from anonline crowdsourcing mechanism with membersrepresentative of the U.S. population (Buhrmester,Kwang, & Gosling, 2011 for subject pool details).Following previous research (Berdahl & Min, 2012;Wiggins, Trapnell, & Phillips, 1988), participantswere asked to indicate how important the followingcharacteristics were for success at each of the twotasks: intelligent, smart, knowledgeable, and skilled(intellectual competence); and dominant, assertive,persuasive, and self-confident (dominance). Stockprice forecasting was seen as requiring a higher levelof intellectual competence (mean 5 6.26, SD5 0.77;a5 .85) compared todebating (mean5 5.47,SD5 1.31;a 5 .91), F(1, 50) 5 20.34, p , .001, hp

2 5 .29. Incontrast, debating (mean5 5.94, SD5 0.82; a5 .81)was seen as requiring a higher level of dominancecompared to stock price forecasting (mean 5 4.52,SD 5 1.36; a 5 .85), F(1, 50) 5 58.60, p , .001,hp

25 .54. Thus, the manipulation of task requirementwas effective.

Interdependencemanipulation.Next, interdependencewas manipulated by varying whether it was saidthat the candidate would compete against or cooperatewith the participant in the tournament (Beersmaet al., 2003). Participants in the competition (cooperation)condition read:

In the first round of the tournament, you will com-pete with the person you choose as your opponent(cooperate with the person you choose as your teampartner in the competition against an opponent team).The participant (team) who outperforms the oppo-nent (the opponent team) will move to the next roundof the tournament and have a chance of winning thefinancial reward. The participant (team) who loses thefirst round is eliminated from the competition andwillbe assigned to work on unrelated individual tasks.

2015 795Lee, Pitesa, Thau, and Pillutla

Page 8: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

Because participants were explicitly told whetherthey would be competing against or cooperatingwith the other participant, we did not additionallycheckwhether themanipulation affected participants’expectations of competition versus cooperation withthe candidate. After about five minutes, the ex-perimenter returned to the individual room to givethe participant the profile sheets ostensibly filledout by two other participants, as well as a sheet onwhich candidate evaluation and choice would beindicated.

Race manipulation and pretest. Following pre-vious research (Bertrand & Mullainathan, 2003), thecandidate’s race was manipulated by varying thename and country of origin indicated on the twoprofiles (Asian candidate: Yoshi Takahashi, Japan;White candidate: Geoffrey Johnson, United States).Information other than race included in the profilesheet was similar and only included minor differ-ences in terms of year of birth (1985 or 1986), lengthof residence in the United Kingdom (15 or 16 years),university major (King’s College London major ineither business or management), hobbies (running orswimming), etc. Participants were informed that bothcandidates were fluent in English. We counter-balanced the race of the candidate across the twoprofiles, which ensured that any effect of candidaterace was due to our race manipulation and not to anydifferences in information between the two profiles.

We conducted a race manipulation pretest tocheck whether our manipulation effectively influ-enced the perceived race of the candidate using anindependent sample of adult males (n 5 58, meanage 5 26.28, SD 5 8.32). The majority of partic-ipants correctly identified the race of the Whitecandidate (89.7%), x2(1, n 5 58) 5 36.48, p , .001,as well as the race of the Asian candidate (98.3%),x2(1, n 5 78) 5 54.07, p , .001, among the racial cat-egories recognized by the U.S. Census Bureau (2013).

Candidate perceptions and selection decisions.After reviewing the profiles, the participantsresponded to a set of measures about each candidate.These included the same measures of perceived in-tellectual competence (aWhite 5 .79; aAsian 5 .82) anddominance (aWhite 5 .82; aAsian 5 .85) as in the taskrequirement pretest. In addition, to measure per-ceived instrumentality of the candidate to the de-cision maker, we followed previous research(Fitzsimons & Shah, 2009) and asked participants toindicate their agreement (15 “strongly disagree” to 75“strongly agree”) with the statement “If I choose [can-didate name] as my opponent (partner), this makes itmore likely that I will win the first round of the

tournament.” Finally, we measured selection prefer-ence by asking participants to respond to the question“Would you select [candidate name] as your opponent(partner) for the tournament?” (1 5 “definitely wouldnot select” to 7 5 “definitely would select”).

Next, the experimenter collected the materialsand thoroughly debriefed participants. No partici-pant expressed suspicion or concern regarding thecover story or the procedure.

STUDY 1: RESULTS AND DISCUSSION

Stereotypes of Asians and Whites

Consistent with prior research, the Asian candi-date (mean 5 5.99, SD 5 0.76) was seen as moreintellectually competent than the White candidate(mean5 5.14, SD5 0.72), F(1, 97)5 83.92, p, .001,hp

2 5 .46. The White candidate (mean 5 5.55, SD 50.88) was seen as more dominant than the Asiancandidate (mean 5 4.20, SD 5 0.95), F(1, 97) 5106.90, p , .001, hp

2 5 .52.

Discrimination in Selection Decisions

Means of selection decisions by conditionare displayed in Figure 3. Across conditions, de-cision makers, who were White, exhibited a similarpreference for the White candidate (mean 5 4.84,SD 5 1.43) as they did for the Asian candidate(mean 5 4.77, SD 5 1.59), F(1, 94) 5 0.28, p 5 .868,hp

2 5 .001. Therefore, we did not find evidence ofgeneral discrimination in favor of candidates be-longing to the same social group. We next analyzedwhether decision makers instead discriminated inline with the predictions of our theoretical model.For ease of interpretation, in all studies we focus onanalyses of simple effects of candidates’ socialgroup membership (in this case, race).4

The results show that when the task required in-tellectual competence, the White candidate (mean 55.48, SD 5 0.75) was preferred to the Asian candi-date (mean 5 3.41, SD 5 0.93) when the decision

4 Because we predict simple effects of candidate social-groupmembership in the opposite direction as a function ofdecision-maker–candidate interdependence and task type,significant simple effects imply that all relevant two-wayand three-way interactions are also significant. Consistentwith this reasoning, in all studies, all simple two-way andthree-way interactions for both instrumentality perceptionand selection decisions as the outcome variables are sig-nificant at p , .001. All details are available from the firstauthor.

796 JuneAcademy of Management Journal

Page 9: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

maker expected to compete with the candidate, F(1,94) 5 42.02, p , .001, hp

2 5 .31, but when the de-cision maker expected to cooperate with the can-didate, the Asian candidate (mean 5 5.92, SD 5 0.83) was preferred to the White candidate (mean 54.29, SD 5 1.16), F(1, 94) 5 22.93, p , .001,hp

2 5 .20.In contrast, when the task required dominance,

the Asian candidate (mean 5 5.92, SD 5 1.25) waspreferred to theWhite candidate (mean5 3.67, SD51.40) when the decision maker expected to com-pete with the candidate, F(1, 94) 5 43.96, p , .001,hp

2 5 .32, but when the decision maker expected tocooperate with the candidate, the White candidate(mean 5 5.87, SD 5 1.22) was preferred to theAsian candidate (mean5 3.96, SD5 1.36), F(1, 94)530.46, p , .001, hp

2 5 .25.The results for both tasks thus support Hypothe-

ses 1 and 2: Decision makers discriminated against

candidates stereotyped as having a greater abilityrequired for the task when they expected to competewith the candidate who would be hired, but in thesecandidates’ favor when cooperation was expected.

The Role of Instrumentality Perception

To test Hypothesis 3, we followed guidelines byJudd, Kenny, and McClelland (2001) for testingmediation in the context of within-subject designs. Ourmoderated mediation model is depicted in Figure 2.OLS (Ordinary Least Squares) regression was used toestimate individual paths and the significance of in-direct effects was tested using the bootstrap methodwith 10,000 resamples (Shrout & Bolger, 2002).

Because candidates’ relative ability varies foreach task, we tested the moderatedmediationmodelseparately for each task. For the task requiring in-tellectual competence, we computed the relative

FIGURE 3Study 1, Selection Decisions by Conditiona

a Error bars represent 95% confidence intervals.

2015 797Lee, Pitesa, Thau, and Pillutla

Page 10: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

difference in perceived intellectual competence, in-strumentality, and selection preference by subtract-ing the values for the White candidate from those forthe Asian candidate (who was stereotyped as moreintellectually competent). The results showed thatwhen the decision maker expected to compete withthe candidate, the perception of greater intellectualcompetence of the Asian candidate led to a relativelylower perception of the instrumentality of the can-didate to the decision maker (b 5 20.35, SE 5 0.18,p 5 .063) and, in turn, a lower selection preferencefor the Asian (relative to White) candidate (condi-tional indirect effect CI: 20.62, 20.08). In contrast,when the decision maker expected to cooperatewith the candidate, the perception of greater in-tellectual competence of the Asian candidate led to arelatively higher perception of the instrumentality ofthe candidate to the decision maker (b 5 1.05, SE 50.27, p , .001) and, in turn, a higher selection pref-erence for the Asian (relative to White) candidate(conditional indirect effect CI: 0.29, 1.62).

Next, we focused on the task requiring dominanceand computed the relative difference in perceiveddominance, instrumentality, and selection prefer-ence by subtracting the values for the Asian candi-date from those for the White candidate (who wasstereotyped as more dominant). The results indicatethat when the decision maker expected to competewith the candidate, the perception of greater domi-nance of the White candidate led to a relativelylower perception of the instrumentality of the can-didate to the decision maker (b 5 20.78, SE 5 0.27,p 5 .006) and, in turn, a lower selection preferencefor the White (relative to the Asian) candidate(conditional indirect effect CI: 21.17, 20.33). Incontrast, when the decision maker expected to co-operate with the candidate, the perception of greaterdominance of theWhite candidate led to a relativelyhigher perception of the instrumentality of thecandidate to the decision maker (b 5 0.58, SE 50.20, p 5 .006) and, in turn, a higher selectionpreference for the White (relative to the Asian)candidate (conditional indirect effect CI: 0.23, 1.19).The results thus support Hypothesis 3.

STUDY 2: METHODS

Study 2 sought to constructively replicate ourfindings in the field.We conducted a field experimentin which we unobtrusively manipulated task re-quirement and interdependence in a tournamentorganized in a business school association. Thesecond goal of Study 2 was to test our theory among

a sample of South Koreans to provide evidence thatthe behavior in line with our theory that we docu-mented in Study 1 was not specific to White de-cision makers, and in that way to strengthen theexternal validity of our conclusions. Finally, mostprior research has focused onWhite decision makers(Henrich, Heine, & Norenzayan, 2010), so Study 2represents an important addition to the extant bodyof evidence because it examines a phenomenonthat fundamentally concerns interracial dynam-ics among decision makers of a race other thanWhite.

Research Site and Participants

The sample consisted of members of the Man-agement Consulting Student Association at a majoruniversity in South Korea. Most association mem-bers are undergraduates or master’s-level businessstudents. The association was established in 1996with the goal of helping prepare its members for jobsin management consulting. At any given time, theassociation numbers about 100 active members;they had over 500 alumni at the time of data col-lection. The association organizes weekly sessions,which include lectures, discussions, business casecompetitions, and other group activities.

One of the authors had access to the associationas an alumnus. We learned that the association hadplanned to hold an intensive two-week “WinterBoot Camp” in January 2013, which would includetwo five-hour sessions per week, consisting ofmore diverse activities compared to those in-volved in regular weekly sessions. In early De-cember 2012, we contacted the president of theassociation and requested to conduct data collec-tion among association members. The managingbody of the association was informed of our re-search and study design, and agreed to conducta field experiment among its members according toour specifications.

However, due to ethical considerations, we wereasked not to administer measures pertaining to ste-reotypical beliefs about White versus Asian candi-dates and their perceived instrumentality. Wecomplied with this request, so Study 2 did not testthese two elements of our theory and instead fo-cused only on Hypotheses 1 and 2. We consideredthis acceptable because Study 2 provided a uniqueopportunity to examine this sensitive behavior inthe field. In addition, due to the high degree of de-ception involved in the study, we considered itpreferable to administer the minimum amount of

798 JuneAcademy of Management Journal

Page 11: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

measures resembling those commonly employed inresearch studies so as to avoid suspicion.

We asked the association president to send ane-mail message to 98 active male associationmembers one week prior to the “Winter Boot Camp.”A total of 78 members responded to the email(79.59% response rate). As described below,through this e-mail correspondence we managed tounobtrusively manipulate interdependence andtask requirements and measure participants’ se-lection decisions. The participants’ average agewas 23 (SD 5 1.51). As a reward for members’participation in the study, we provided the presi-dent with $250.00 (in local currency) for the pur-pose of funding a group dinner for the members,which took place after the data collection wascompleted.

Design, Procedure, and Materials

Participants were randomly assigned to conditionsof a 2 (interdependence: competition versus co-operation; between-subject) 3 2 (task requirement:intellectual competence versus dominance; between-subject) 3 2 (candidate race: Asian versus White;within-subject) design. They received an email fromthe association president in which they were told thatthey would participate in a tournament during one ofthe sessions of the Winter Boot Camp. In the com-petition (cooperation) condition, the e-mail read asfollows:

Hi; we are writing to inform you of a tournamentscheduled for the 19 January afternoon session. Inconsultation with the educational coordinator, I de-cided to invite some non-members, who are ex-change students from the United States, to enrich thetournament experience. Please read carefully thefollowing instructions and select one person as yourtournament opponent (partner).

Manipulations of task requirement andinterdependence. Next, participants read a de-scription of the tournament, which containedthe manipulations of task requirement and in-terdependence and was identical to that used inStudy 1.

Race manipulation. At the end of the e-mail,participants were provided with profiles of the twocandidates, which contained the same race manip-ulation used in Study 1. The information presentedin the two profiles had the same format as that ofStudy 1 but was adapted to the study setting. Thecontents of the profiles again included minor

differences (e.g., year of birth 1990 versus 1991;degree in business versus management at the Uni-versity of California, Santa Barbara) to increase be-lievability. The e-mail stressed that both studentswere fluent in English.

Candidate selection decisions. Finally, we askedparticipants to reply to the e-mail and indicatewhich candidate they wanted to be paired within the tournament. The choices expressed in theparticipants’ responses served as our dependentvariable.

STUDY 2: RESULTS AND DISCUSSION

Discrimination in Selection Decisions

The participants’ selection decision frequenciesby condition are displayed in Figure 4. Acrossconditions, the decision makers, who were Asians,were about equally likely to select the Asian can-didate (47.4%) as they were to select the Whitecandidate (52.6%), x2(1, n 5 78) 5 0.21, p 5 .651.Therefore, we again did not find evidence of a gen-eral preference for candidates of the same race. Wenext examined whether the decision makers insteaddiscriminated in line with the predictions of ourtheoretical model.

FIGURE 4Study 2, Selection Decisions by Condition

2015 799Lee, Pitesa, Thau, and Pillutla

Page 12: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

We conducted a moderated logistic regressionanalysis to test differences in the participants’selection decisions as a function of task require-ment and interdependence. When the task requiredintellectual competence, the coefficient for the ef-fect of interdependence (0 5 cooperation, 1 5 com-petition) on selection decisions (0 5 White, 1 5Asian) was significant and negative, b 5 22.22,SE 5 0.74, p 5 .003. This result shows a greaterlikelihood of preference for the White candidatewhen the decision maker expected to compete (ver-sus cooperate) with the candidate, or, interpreteddifferently, a greater likelihood of preference for theAsian candidate when the decision maker expectedto cooperate (versus compete) with the candidate.

In contrast, when the task required dominance,the coefficient for the effect of interdependence onselection decisions was significant and positive, b53.47, SE5 0.94, p, .001. This result shows a greaterlikelihood of preference for the Asian candidatewhen the decision maker expected to compete(versus cooperate) with the candidate, or, inter-preted differently, a greater likelihood of preferencefor the White candidate when the decision makerexpected to cooperate (versus compete) with thecandidate.

The results for both tasks thus support Hypothe-ses 1 and 2: Decision makers discriminated againstcandidates stereotyped as having a greater abilityrequired for the task when they expected to competewith the candidate who would be hired, but in thesecandidates’ favor when cooperation was expected.

STUDY 3: METHODS

Study 3 sought to extend the previous studies inseveral ways. First, we used a different operation-alization of selection decisions: Participants en-gaged in a recruitment simulation and indicatedwhich candidate they would select to join theirdepartment. Second, we used a different manipu-lation of interdependence. Instead of manipulatingtask and reward interdependence, we manipulatedwhether the department’s culture was described ascompetitive or cooperative (Chatman & Barsade,1995). These modifications sought to enhance theexternal validity of our conclusions through a con-structive replication of previous studies. In addi-tion, we used a different (more racially typical)name for the White candidate in the hopes ofattaining even better effectiveness of the candidaterace manipulation. Finally, because Study 2 didnot test the role of instrumentality, we wanted to

provide additional evidence for our hypothesizedmechanism.

Participants and Design

We recruited 122 males with work experience(mean age 5 32.19, SD 5 10.08; 91.0% White, 5.7%Asian, 2.5% Black, and 0.8% Pacific Islander) fromthe same online crowdsourcing mechanism used inpretests for previous studies to participate in theexperiment in exchange for $1.00. As Studies 1 and2 found no differences in results as a function ofparticipant race, we did not include race as a re-cruitment criterion in this or the subsequent study.

Participants were randomly assigned to con-ditions of a 2 (interdependence: competition versuscooperation; between-subject)3 2 (task requirement:intellectual competence versus dominance; between-subject) 3 2 (candidate race: Asian versus White;within-subject) design.

Procedure and Materials

All materials were presented via computer. Par-ticipants were told they would engage in a re-cruitment simulation, which we developed basedon vignettes of competition and cooperation at work(Wageman, 1995). Participants were first asked toread a scenario describing their work setting andassume the role of a team member in charge of hir-ing a new employee. Participants were then toldthey would review profiles of potential candidates,respond to measures of their perceptions of thecandidates, and indicate whether they would hirethe candidates.

Task requirement manipulation and pretest.Task requirement was manipulated by varying thedescription of the department to which participantsbelonged. Participants in the intellectual compe-tence (dominance) condition read that they hadjust started working in the engineering (sales) de-partment at ABC Company. Prior research hasfound that work in these two departments is seen asrequiring significantly different levels of intellectualcompetence versus dominance (Sy et al., 2010).

A task requirement pretest among an inde-pendent sample of adult males (n 5 55; mean age 534.49, SD 5 12.15), which used the same items andscales as the task requirement pretest in Study 1,confirmed that the job in the engineering de-partment was seen as requiring a higher level ofintellectual competence (mean 5 6.63, SD 5 0.58;a5 .91) compared to the job in the sales department

800 JuneAcademy of Management Journal

Page 13: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

(mean 5 5.55, SD 5 1.02; a 5 .88), F (1, 54) 5 71.68,p , .001, hp

2 5 .57. In contrast, the job in the salesdepartment was seen as requiring a higher level ofdominance (mean 5 6.06, SD 5 0.86; a 5 .80)compared to the job in the engineering department(mean 5 4.49, SD 5 1.10; a 5 .78), F(1, 54) 5 69.44,p , .001, hp

2 5 .56.Interdependence manipulation. We manipu-

lated interdependence by varying the description ofthe department’s culture (Chatman & Barsade, 1995).Participants in the competition (cooperation) condi-tion read:

Your department is seen as having a very competi-tive (cooperative) atmosphere. Individual (joint)performance and individual (joint) initiative arehighly valued, and competition (cooperation) amongdepartment members is considered to be the bestmeans toward career success.

To check the effective of interdependence manipu-lation, we asked participants to indicate whether theyexpected their future relationship with the candidatewho gets hired would be competitive or cooperative.

Race manipulation and pretest. Next, the par-ticipants were presented with profiles of the twocandidates. The word length and format were heldconstant, but, as in the previous studies, contentrelated to areas such as hobby, major, and universityvaried slightly between the two profiles to make therecruitment simulation more realistic. We counter-balanced the race of the candidate across the twoprofiles. The race manipulation was the same as inprevious studies, with the exception that we used thename David Schmitt for the White candidate asa somewhat more typicalWhite-specific name, basedon a U.S. Census report (U.S. Census Bureau, 2010).To check the effectiveness of the race manipulation,we asked the participants to indicate what theythought each candidate’s race was among the cate-gories recognized by the U.S. Census Bureau (2013).

Candidate perceptions and selection decisions.The participants were asked to provide their eval-uation of each candidate. Specifically, using thesame items as in the task requirement pretest andprevious studies, the participants indicated how in-tellectually competent (aWhite5 .93; aAsian5 .94) anddominant (aWhite 5 .78; aAsian 5 .83) they thoughteach candidate was. In addition, we measured per-ceived instrumentality of the candidate to the de-cision maker by asking participants to indicate theiragreement (1 5 “strongly disagree” to 7 5 “stronglyagree”) with the following statement: “If this personis hired for the position inmy department, thismakes

my career success within the department morelikely.” To measure selection preference, we askedthe participants to respond to the following question:“How likely would you be to recommend hiring thisperson for the position in your department?” (1 5“very unlikely” to 7 5 “very likely”).

STUDY 3: RESULTS AND DISCUSSION

Manipulation Checks

The majority of participants correctly identifiedthe race of the White candidate (98.4%), x2(1, n 5122) 5 232.15, p , .001, as well as the race of theAsian candidate (100%; perfect classification).

In addition, the majority of participants in thecompetition condition (95.2%), x2(1, n5 63)5 51.57,p , .001, indicated that they expected a competitiverelationship with the hired candidate; the majority ofparticipants in the cooperation condition (96.7%), x2

(1, n 5 59) 5 51.27, p, .001, expected a cooperativerelationship.5

Stereotypes of Asians and Whites

The Asian candidate (mean5 5.61, SD5 0.96) wasseen as more intellectually competent compared tothe White candidate (mean 5 5.48, SD 5 0.87), F (1,121)5 4.57, p5 .035, hp

25 .04. TheWhite candidate(mean5 4.79, SD5 0.78) was seen asmore dominantcompared to the Asian candidate (mean5 4.63, SD50.78), F(1, 121) 5 5.14, p 5 .025, hp

2 5 .04.

Racial Discrimination in Selection Decisions

Means of selection decisions by condition aredisplayed in Figure 5. Across conditions, decisionmakers, who were predominately White, exhibiteda similar preference for theWhite candidate (mean55.26, SD 5 1.39) as they did for the Asian candi-date (mean 5 5.11, SD 5 1.49), F(1, 118) 5 0.26,p 5 .613, hp

2 5 .002. Restricting the sample forthe analysis to White participants led to the sameconclusion, F(1, 105) 5 0.10, p 5 .749, hp

2 5 .001.Therefore, we did not find evidence of a generalpreference for candidates of the same race. Next, weexamined whether decision makers instead

5 We also estimated for all manipulation checks inStudies 3 and 4 a model that included all manipulationsand their interactions, and the only significant effectswere the main effects reported in the paper (in Study 3 allother ps . .208; in Study 4, all other ps . .138).

2015 801Lee, Pitesa, Thau, and Pillutla

Page 14: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

discriminated in line with the predictions of ourtheoretical model.

When the task required intellectual competence,the White candidate (mean 5 5.29, SD 5 1.32) waspreferred to the Asian candidate (mean 5 3.79,SD 5 1.37) when the decision maker expected tocompete with the candidate, F(1, 118) 5 22.87, p ,.001, hp

2 5 .16; however, when the decision makerexpected to cooperate with the candidate, the Asiancandidate (mean5 6.45, SD5 0.63) was preferred tothe White candidate (mean 5 5.41, SD 5 1.18), F(1,118) 5 9.28, p 5 .003, hp

2 5 .07.In contrast, when the task required dominance,

the Asian candidate (mean 5 5.45, SD 5 1.33) waspreferred to the White candidate (mean 5 4.59,SD 5 1.72) when the decision maker expected tocompete with the candidate, F(1, 118) 5 6.44, p 5.012, hp

2 5 .05, but when the decision makerexpected to cooperate with the candidate, theWhite

candidate (mean 5 5.73, SD 5 1.08) was preferredto the Asian candidate (mean 5 5.00, SD 5 1.02),F(1, 118) 5 4.82, p 5 .030, hp

2 5 .04.The results for both tasks thus support Hypothe-

ses 1 and 2: Decision makers discriminated againstcandidates stereotyped as having a greater abilityrequired for the task when they expected to competewith the candidate who would be hired, but in thesecandidates’ favor when cooperation was expected.

The Role of Instrumentality Perception

We followed the same mediation analysis pro-cedure as in Study 1. First, focusing on the task re-quiring intellectual competence, when the decisionmaker expected to compete with the candidate, theperception of greater intellectual competence of theAsian candidate led to a relatively lower perceptionof the instrumentality of the candidate to the decision

FIGURE 5Study 3, Selection Decisions by Conditiona

a Error bars represent 95% confidence intervals.

802 JuneAcademy of Management Journal

Page 15: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

maker (b 5 20.92, SE 5 0.35, p 5 .010) and, in turn,a lower selection preference for the Asian (relative tothe White) candidate (conditional indirect effect CI:21.65, 20.13). In contrast, when the decision makerexpected to cooperate with the candidate, the per-ception of greater intellectual competence of theAsian candidate led to a relatively higher perceptionof the instrumentality of the candidate to the decisionmaker (b 5 0.92, SE 5 0.43, p 5 .035) and, in turn,a higher selection preference for the Asian (relative tothe White) candidate (conditional indirect effect CI:0.26, 1.07).

Next, focusing on the task requiring dominance,when the decision maker expected to compete withthe candidate, the perception of greater dominanceof the White candidate led to a relatively lowerperception of the instrumentality of the candidate tothe decision maker (b521.56, SE5 0.37, p, .001)and, in turn, a lower selection preference for theWhite (relative to Asian) candidate (conditional in-direct effect CI:21.73,20.38). In contrast, when thedecision maker expected to cooperate with thecandidate, the perception of greater dominance ofthe White candidate led to a relatively higher per-ception of the instrumentality of the candidate to thedecisionmaker (b5 1.09, SE5 0.40, p5 .009) and, inturn, a higher selection preference for the White(relative to Asian) candidate (conditional indirect CI:21.82,20.54). The results thus support Hypothesis 3.

STUDY 4: METHODS

The main goal of Study 4 was to test our theoret-ical model in a different empirical context and thusdemonstrate the generalizability of our theory toother instances of discrimination. While Studies1–3 focused on racial discrimination, in Study 4 wefocused on age discrimination. To test our hypoth-eses, we examined how decision makers discrimi-nate when making selection decisions for tasks inwhich younger versus older candidates are stereo-typed as having a greater ability required for suc-cessful performance in the task.

Prior research has found that younger employeesare stereotyped as more creative, but less stable(dependable), compared to older employees (formeta-analyses, see Finkelstein et al., 1995; Ng &Feldman, 2012). Creativity refers to how wellemployees manage new information and changes,and how capable they are of generating new ideas(Anderson, De Dreu, & Nijstad, 2004). Characteristicsthat define creativity include being innovative,creative, adaptable, flexible, and curious (Avolio &

Barrett, 1987; Cleveland & Landy, 1983; Rosen &Jerdee, 1976). Stability refers to individuals’ abilityto act and perform in a consistent and reliablemanner, and is defined by such traits as stable, de-pendable, careful, cautious, and steady (Bal, Reiss,Rudolph, & Baltes, 2011; Finkelstein et al., 1995;Rosen & Jerdee, 1976).

Therefore, we tested our theory by examiningselection decisions between younger versus oldercandidates for tasks that require either pre-dominately creativity or predominately stabilityfor successful performance. Our hypotheses implythat when decision makers select candidates fortasks that require creativity, and they expect to becompetitively (cooperatively) interdependent withthe candidate who is hired, they should discriminateagainst (in favor of) younger candidates, becauseyounger people are stereotyped as having a greaterability required for the task. In contrast, when de-cision makers select candidates for tasks that pre-dominately require stability, and they expect to becompetitively (cooperatively) interdependent withthe candidate who is hired, they should discrimi-nate against (in favor of) older candidates, becauseolder people are stereotyped as having a greaterability required for the task. Finally, the perceptionof the instrumentality of the candidate to the de-cision maker should mediate these discriminatorytendencies.

Participants and Design

A total of 121 male participants (mean age 530.77, SD 5 10.01; 80.2% White, 12.4% Asian,5.7% Black, and 1.7% American Indian) wererecruited using the same procedure as in Study 3.

The participants were randomly assigned toconditions of a 2 (interdependence: competitionversus cooperation; between-subject) 3 2 (task re-quirement: stability versus creativity; between-subject) 3 2 (candidate age: 25 years old versus 50years old; within-subject) design.

Procedure and Materials

The procedure and materials were almost identicalto those used in Study 3 except that the manipulationof task requirement, candidate profiles, and questionsabout candidate perception were adjusted to test ourtheory in the context of age discrimination.

Task requirement manipulation and pretest.Participants in the stability (creativity) conditionread that they had just started working in the

2015 803Lee, Pitesa, Thau, and Pillutla

Page 16: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

corporate strategy (product design) department atABC Company.

We conducted a task requirement pretest amongan independent sample of adult males (n 5 44;mean age 5 32.07, SD 5 10.07) to verify that theproduct design position was seen as requiring morecreativity (and less stability) compared to the cor-porate strategy position. Following previous re-search (Cleveland & Landy, 1983; Meyer, Dalal, &Bonaccio, 2009), the participants were asked to in-dicate how important the following characteristicswere for success at each of the two tasks: stable,dependable, careful, cautious, steady (stability); andinnovative, creative, adaptable, flexible, and curi-ous (creativity). The results confirmed that the cor-porate strategy department was seen as requiringa higher level of stability (mean 5 5.66, SD 5 0.92;a 5 .81) compared to the job in the product designdepartment (mean 5 5.06, SD 5 1.19; a 5 .88),F (1, 43)5 17.59, p, .001, hp

2 5 .29. In contrast, theproduct design department was seen as requiringa higher level of creativity (mean5 6.26, SD5 0.75;a 5 .84) compared to the job in the corporate strat-egy department (mean 5 5.24, SD 5 1.14; a 5 .87),F (1, 43) 5 36.23, p , .001, hp

2 5 .46. Thus, themanipulation of task requirement was effective.

Candidate perceptions and selection decisions.The profiles of the two candidates were similar toeach other, except for the age indicated on the profile(25 versus 50 years old), and we counterbalanced theage of the candidate across the two profiles. Then,using the same items as in the task requirement pre-test, the participants indicated how stable (aold 5 .91;ayoung 5 .96) and creative (aold 5 .92; ayoung 5 .85)they thought each candidate was. To check the ef-fectiveness of the age manipulation, we asked theparticipants how old they thought each candidatewas (1 5 “very young” to 7 5 “very old”). All othermeasures and materials were the same as in Study 3.

STUDY 4: RESULTS AND DISCUSSION

Manipulation Checks

The participants perceived the 25-year-old can-didate (mean 5 2.20, SD 5 0.79) to be younger thanthe 50-year-old candidate (mean5 5.36, SD5 0.82),F(1, 120) 5 769.71, p , .001, hp

2 5 .87.In addition, the majority of participants in the

competition condition (100%, perfect classification)indicated that they expected a competitive relation-ship with the candidate who is hired, and the ma-jority of participants in the cooperation condition

(96.8%), x2(1, n 5 63) 5 55.25, p , .001 expecteda cooperative relationship.

Stereotypes of Old and Young Candidates

The 25-year-old candidate (mean 5 5.39, SD 50.99) was seen as more creative compared to the 50-year-old candidate (mean 5 4.56, SD 5 1.11), F (1,120) 5 41.06, p , .001, hp

2 5 .26. The 50-year-oldcandidate (mean 5 5.72, SD 5 0.87) was seen asmore stable than the 25-year-old candidate (mean5 4.38, SD 5 1.15), F(1, 120) 5 100.41, p , .001,hp

2 5 .46.

Discrimination in Selection Decisions

Means of selection decisions by condition aredisplayed in Figure 6. Across conditions, thedecision makers’ own age did not affect their pref-erence for candidates of different ages,F(1, 116)5 0.04,p 5 .836, hp

2 , .001. Therefore, we did not findevidence of a general preference for candidates whowere similar to the decision makers in terms of age.We next examined whether the decision makersinstead discriminated in line with the predictions ofour theoretical model.

When the task required stability, the 25-year-oldcandidate (mean5 5.97, SD5 1.00) was preferred tothe 50-year-old candidate (mean 5 3.50, SD 5 2.00)when the decision maker expected to compete withthe candidate, F(1, 117)5 36.85, p, .001, hp

25 .24,but when the decision maker expected to cooperatewith the candidate, the 50-year-old candidate (mean56.12, SD 5 0.99) was preferred to the 25-year-oldcandidate (mean 5 4.21, SD 5 1.17), F(1, 117) 522.73, p , .001, hp

2 5 .16.In contrast, when the task required creativity, the

50-year-old candidate (mean5 5.89, SD5 1.03) waspreferred to the 25-year-old candidate (mean5 3.27,SD 5 1.87) when the decision maker expected tocompete with the candidate, F(1, 117) 5 33.61, p ,.001, hp

2 5 .22, but when the decision maker expec-ted to cooperate with the candidate, the 25-year-oldcandidate (mean 5 6.30, SD 5 1.26) was preferred tothe 50-year-old candidate (mean 5 4.00, SD 5 1.53),F(1, 117) 5 29.00, p , .001, hp

2 5 .20.The results for both tasks thus support Hypoth-

eses 1 and 2: Decision makers discriminatedagainst candidates stereotyped as having a greaterability required for the task when they expected tocompete with the candidate who would be hired,but in these candidates’ favor when cooperationwas expected.

804 JuneAcademy of Management Journal

Page 17: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

The Role of Instrumentality Perception

We followed the same mediation analysis pro-cedure as in previous studies. First, regarding thetask that required stability, the results showed thatwhen the decision maker expected to compete withthe candidate, the perception of greater stability ofthe 50-year-old candidate led to a relatively lowerperception of the instrumentality of the candidate tothe decision maker (b520.53, SE5 0.21, p5 .016)and, in turn, a lower selection preference for the 50-year-old (relative to the 25-year-old) candidate(conditional indirect effect CI: 20.85, 20.03). Incontrast, when the decision maker expected to co-operate with the candidate, the perception of greaterstability of the 50-year-old candidate led to a rela-tively higher perception of the instrumentality ofthe candidate to the decision maker (b 5 0.72, SE 50.33, p 5 .032) and, in turn, a higher selectionpreference for the 50-year-old candidate (relative to

the 25-year-old) candidate (conditional indirect ef-fect CI: 0.13, 0.92).

Regarding the task that required creativity, theresults showed that when the decision maker expec-ted to compete with the candidate, the perceptionof greater creativity of the 25-year-old candi-date led to relatively lower perception of theinstrumentality of the candidate to the decisionmaker (b 5 20.90, SE 5 0.42, p 5 .038) and, inturn, lower selection preference for the 25-year-old (relative to the 50-year-old) candidate(conditional indirect effect CI: 21.96, 20.09). Incontrast, when the decision maker expected tocooperate with the candidate, the perception ofgreater creativity of the 25-year-old candidate ledto a relatively higher perception of the instru-mentality of the candidate to the decision maker(b5 1.65, SE5 0.48, p5 .001) and, in turn, a higherselection preference for the 25-year-old (relativeto the 50-year-old) candidate (conditional indirect

FIGURE 6Study 4, Selection Decisions by Condition

a Error bars represent 95% confidence intervals.

2015 805Lee, Pitesa, Thau, and Pillutla

Page 18: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

effect CI: 0.18, 2.32). The results thus supportHypothesis 3.

GENERAL DISCUSSION

Theoretical Contribution

This research contributes to the literature byproposing and testing a novel explanation for dis-crimination in selection decisions. By specifyingthe conditions under which decisions discriminatein favor of, as well as against, candidates that belongto the same social group, our theory may help toexplain the mixed findings for the dominant theo-retical paradigm, which suggests that decisionmakers exhibit a preference for candidates that be-long to the same social group (Allport, 1954; Pager &Shepherd, 2008; Whitley & Kite, 2009). It is relevantto note that our research does not imply that favor-itism for candidates that belong to the same socialgroup plays no role in selection decisions. Rather,we show that this force can be overridden by self-interested considerations on the part of decisionmakers, jointly defined by stereotypical beliefsabout candidates’ abilities and expectations of fu-ture interdependence with the candidate. In theabsence of strong task imperatives or future in-terdependence, it could be the case that decisionmakers select others who are from their own socialgroup. The social identity approach, similarity-attraction model, and theories focusing on intergroupconflict may be more relevant in such circumstancesthan our theory.

While we tested our theory in the context of racialand age discrimination, we believe our model mayexplain various instances of discrimination in se-lection decisions that satisfy the assumptions of ourtheory. As long as members of different socialgroups are stereotyped differently in terms ofa characteristic that the decision maker considersrelevant for execution of the task for whichthe candidates are being considered, our theoryshould be a useful explanatory tool for under-standing decision makers’ discriminatory ten-dencies. For instance, our theory should be ableto explain gender discrimination for jobs that areseen to require masculine versus feminine traits(Glick et al., 1988). Women (men) are stereotypedas having the characteristics required for suc-cessful performance of tasks that require feminine(masculine) characteristics. For that reason, decisionmakers should discriminate against them (in their fa-vor) when competitive (cooperative) interdependence

is expected. The theory can similarly be applied toexplain discrimination of other social groups, in-cluding people of other races (e.g., discriminationagainst black candidates), religious beliefs, andsexual orientations.

We also contribute to research on discriminationin organizations by situating decision-makers’ be-havior in the context of intra-organizational in-terdependent relationships. Most prior models ofdiscrimination in selection decisions have assumedthat decision makers expect no future relationshipwith the candidate; however, this assumption isuntenable considering how many real-world selec-tion decisions are made (Edenborough, 2005; Harriset al., 2003). We show that taking into account theexpected interdependence between decision makersand candidates, and the corresponding perceivedinstrumentality of the candidates, can provide apowerful explanation for discriminatory behavior inorganizations.

Although self-interested considerations havebeen emphasized in the theoretical economics lit-erature as a potentially relevant factor in discrimi-nation (Arrow, 1973; Phelps, 1972), such motiveshave been underutilized as an explanation in the or-ganizational literature. In contrast, “softer” motives,such as likeability and conflict aversion, have longbeen regarded as the key mediating variable inexplaining discrimination related to performanceevaluation and selection decision (Whitley & Kite,2009). Our results highlight the importance of con-sidering intra-organizational interdependencies andthe corresponding instrumentality perceptions for theunderstanding of other interpersonal decisions inorganizations that have often been conceptualized ashaving been made in a social vacuum, such as per-formance evaluations, promotion decisions, andcompensation negotiations.

Limitations and Further Research

We tested our theory in the context of selectiondecisions in which both the decision makers andcandidates were men. In addition, Studies 1–3 fo-cused on selection decisions between White andAsian candidates. Thus, generalizing our conclusionsto other combinations of decision-maker–candidategender or race warrants caution. Decisions con-cerning our study design were guided by the factthat this research constitutes the initial test of ourtheory; thus, providing internally consistent testswas the priority. We sought to accomplish this goalthrough controlled experiments in which we

806 JuneAcademy of Management Journal

Page 19: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

minimized additional sources of variation, in-cluding gender. However, as Cook and Campbell(1979) note, such sampling decisions may posea threat to the external validity of inferences, par-ticularly when there is an interaction between thecausal relationships and sample characteristics. Inour case, this is a potential concern. Prior worksuggests that women might be less instrumental intheir decisions (Bakan, 1966; McClelland, 1975;Tannen, 1991). Thus, because the effects we docu-mented are based on the propensity to be in-strumental when making selection decisions, theymight be expressed less strongly among women.Future research is needed to test our theory in thecontext of other combinations of decision-maker–candidate gender and race, and in so doing perhapsidentify boundary conditions of our theory.

Future research should examine other individualdifferences that might affect how instrumental de-cision makers are in their selection decisions. Forinstance, people differ in the degree to which theyare motivated to follow their self-interest at the ex-pense of the interests of others (De Dreu & Nauta,2009; Van Lange, 1999), such as their organization.Those who are relatively more motivated to benefittheir organization (rather than themselves) shouldbe less likely to exhibit self-serving discriminatorytendencies in situations that contrast personal andorganizational interests, such as those in which thedecision maker expects to be competitively in-terdependent with the candidate who is hired, andthus has incentive to hire the weakest candidate,which is contrary to the interest of the organization.

Research has also shown that individuals differ inhow prejudiced they are toward other racial groups(Stewart & Perlow, 2001; Whitley & Kite, 2009).Among people who harbor strong aversion to racialout-groups, discrimination in favor of candidates ofthe same race might be less likely to abate as a resultof greater perceived instrumentality of candidates ofother races. Strongly prejudiced individuals mightprefer members of their own race even when thisgoes against their self-interest; i.e., when such can-didates are less instrumental to their personal out-comes. Future research is needed to explore thispossibility.

Our research focused on situations in which de-cision makers face a choice between equally quali-fied candidates. While this allowed us to isolate theeffect of race in selection decisions (and in that wayoperationalize racial discrimination), we note thatstereotypical beliefs about candidates’ abilitiesmight be less relevant in situations in which some

candidates are clearly more qualified than others(Dipboye, Fromkin, & Wiback, 1975). Future re-search is needed to ascertain the power of stereo-typical beliefs about candidates’ abilities basedon their social group membership in the effectswe documented, relative to other sources of in-formation about potential future performance, suchas candidates’ educational record or prior workexperience.

Our theory is also limited to situations in whichdecision-maker–candidate interdependence exists.While we believe that decision makers often expectat least some degree of interdependence with thecandidate (e.g., at the very least by virtue of workingwithin the same organization), our theory should beless relevant in situations in which interdependenceis less pronounced. Nevertheless, we note that thelargest part of the economy is composed of small tomedium firms (Beck, Demirguc-Kunt, & Levine,2005), and in such smaller firms, people who makedecisions about candidates arguably have some levelof interdependence with the candidate who is hired.In addition, even in large organizations, employeesworking on tasks that require advanced skills mightbe best placed to evaluate potential candidates forwork on similar jobs. Therefore, while decision-maker–candidate interdependence is certainly pres-ent to a varying degree across different organizations,we believe this aspect of selection decisions inorganizations does manifest in a considerable num-ber of cases. Future research might examine howdifferences in the strength of interdependence of thedecision maker and the candidate who is hired affectthe explanatory power of our model.

An important extension of this research would beto test our theory using large-scale passive obser-vational studies in the field. For instance, one ap-proach to further testing of our theory in the fieldmight be to measure cooperative and competitiveinterdependence among members of hiring com-mittees and then measure their initial candidatepreferences.

Managerial Implications

By shedding new light on causes of discrimina-tion, this research provides some clear prescriptionsfor managers. We demonstrate that expected in-terdependence between the person making the se-lection decision and the candidate, along withdecision makers’ stereotypes about members ofdifferent social groups, can lead to discriminatorydecisions. Awareness of potential interdependence

2015 807Lee, Pitesa, Thau, and Pillutla

Page 20: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

and stereotyping tendencies should allow organ-izations to design selection practices that will min-imize potential discrimination.

One feature of the selection process could bea focused accountability system. Making decisionmakers accountable can decrease their tendency tofollow their self-interest at the expense of others(Pitesa & Thau, 2013). In addition, research showsthat accountability concerns motivate thoroughprocessing of social information (Chaiken, 1980),which should reduce reliance on stereotypes(Bodenhausen, 1990). Thus, by ensuring that de-cision makers are accountable, managers might beable to inhibit reliance on stereotypes and in thatway interrupt the process behind the discrimina-tory behavior documented in this research.

CONCLUSION

This research proposed and tested a novel theo-retical model to explain how and why discrimina-tion in selection decisions occurs. We situatedselection decisions in the organizational context ofdifferential task requirements and decision-maker–candidate interdependence, which allowed us todiverge from the dominant theoretical paradigmwhich suggests that decisions makers systematicallyprefer candidates that belong to their own socialgroup, and to propose a more nuanced view of dis-crimination in organizations.

REFERENCES

Allport, G. 1954. The nature of prejudice. New York, NY:Perseus.

Anderson, N., De Dreu, C. K., & Nijstad, B. A. 2004. Theroutinization of innovation research: A constructivelycritical review of the state of the science. Journal ofOrganizational Behavior, 25: 147–173.

Arrow, K. 1973. The theory of discrimination. In O. Ashenfelter& A. Rees (Eds.), Discrimination in labor markets: 3–33.Princeton, NJ: Princeton University Press.

Avolio, B. J., & Barrett, G. V. 1987. Effects of age stereo-typing in a simulated interview. Psychology andAging, 2: 56–63.

Bakan, D. 1966. The duality of human existence: Anessay on psychology and religion. Chicago, IL: RandMcNally.

Bal, A. C., Reiss, A. E., Rudolph, C. W., & Baltes, B. B.2011. Examining positive and negative perceptions ofolder workers: A meta-analysis. The Journals ofGerontology. Series B, Psychological Sciences andSocial Sciences, 66: 687–698.

Beck, T., Demirguc-Kunt, A., & Levine, R. 2005. SMEs,growth, and poverty: Cross-country evidence. Jour-nal of Economic Growth, 10: 199–229.

Becker, B. E., & Huselid, M. A. 1992. The incentive effectsof tournament compensation systems. Administra-tive Science Quarterly, 37: 336–350.

Beersma, B., Hollenbeck, J. R., Humphrey, S. E., Moon, H.,Conlon, D. E., & Ilgen, D. R. 2003. Cooperation,competition, and team performance: Toward a con-tingency approach. Academy of Management Jour-nal, 46: 572–590.

Bell, B. D., & Stanfield, G. G. 1973. The aging stereotypein experimental perspective. The Gerontologist, 13:341–344.

Bell, M. P., Harrison, D. A., & McLaughlin, M. E. 1997.Asian American attitudes toward affirmative actionin employment: Implications for the model minoritymyth. The Journal of Applied Behavioral Science,33: 356–377.

Berdahl, J. L., & Min, J. A. 2012. Prescriptive stereotypesand workplace consequences for East Asians in NorthAmerica. Cultural Diversity & Ethnic Minority Psy-chology, 18: 141–152.

Bertrand, M., & Mullainathan, S. 2003. Are Emily andGreg more employable than Lakisha and Jamal? Afield experiment on labor market discrimination. TheAmerican Economic Review, 94: 991–1013.

Bodenhausen, G. V. 1990. Stereotypes as judgmentalheuristics: Evidence of circadian variations in dis-crimination. Psychological Science, 1: 319–322.

Boudreau, J. W., Boswell, W. R., & Judge, T. A. 2001.Effects of personality on executive career success inthe United States and Europe. Journal of VocationalBehavior, 58: 53–81.

Brief, A. P., Dietz, J., Cohen, R. R., Pugh, S. D., & Vaslow,J. B. 2000. Just doing business: Modern racism andobedience to authority as explanations for employ-ment discrimination. Organizational Behavior andHuman Decision Processes, 81: 72–97.

Buhrmester, M. D., Kwang, T., & Gosling, S. D. 2011.Amazon’s Mechanical Turk: A new source of in-expensive, yet high-quality, data? Perspectives onPsychological Science, 6: 3–5.

Byrne, D., & Nelson, D. 1965. Attraction as a linear func-tion of proportion of positive reinforcements. Journalof Personality and Social Psychology, 1: 659–663.

Campbell, D. T. 1965. Ethnocentric and other altruisticmotives. In D. Levine (Ed.), Nebraska symposium onmotivation, vol. 13: 283–311. Lincoln, NE: Universityof Nebraska.

Central Intelligence Agency 2013. The world factbook:Country comparison—Population. https://www.cia.

808 JuneAcademy of Management Journal

Page 21: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

gov/library/publications/the-world-factbook/rankorder/2119rank.html (accessed May 29, 2013).

Chaiken, S. 1980. Heuristic versus systematic informationprocessing and the use of source versus message cuesin persuasion. Journal of Personality and SocialPsychology, 39: 752–766.

Chatman, J. A., & Barsade, S. G. 1995. Personality, orga-nizational culture, and cooperation: Evidence fromabusiness simulation.AdministrativeScienceQuarterly,40: 423–443.

Cheng, C., & Thatchenkery, T. J. 1997. Why is there a lackof workplace diversity research on Asian Americans?The Journal of Applied Behavioral Science, 33:270–276.

Cleveland, J. N., & Landy, F. J. 1983. The effects of personand job stereotypes on two personnel decisions. TheJournal of Applied Psychology, 68: 609–619.

Connor, C. L., Walsh, R. P., Litzelman, D. K., & Alvarez,M. G. 1978. Evaluation of job applicants: The effects ofage versus success. Journal of Gerontology, 33: 246–252.

Cook, T. D., & Campbell, D. T. 1979.Quasi-experimentation:Design & analysis issues for field settings. Boston, MA:Houghton-Mifflin.

Cuddy, A. J., Fiske, S. T., & Glick, P. 2007. The BIAS map:Behaviors from intergroup affect and stereotypes.Journal of Personality and Social Psychology, 92:631–648.

Darley, J. M., Zanna, M. P., & Roediger, H. L. 2003. Thecompleat academic: A career guide. Washington,DC: American Psychological Association.

De Dreu, C. K. W., & Nauta, A. 2009. Self-interest andother-orientation in organizational behavior: Impli-cations for job performance, prosocial behavior, andpersonal initiative. The Journal of Applied Psy-chology, 94: 913–926.

Deutsch, M. 1949. A theory of co-operation and compe-tition. Human Relations, 2: 129–152.

Dipboye, R. L., Fromkin, H. L., & Wiback, K. 1975. Relativeimportance of applicant sex, attractiveness, and scho-lastic standing in evaluation of job applicant resumes.The Journal of Applied Psychology, 60: 39–43.

Dipboye, R. L. 1985. Some neglected variables in researchon discrimination in appraisals. Academy of Man-agement Review, 10: 116–127.

Dovidio, J. F., & Gaertner, S. L. 2000. Aversive racism andselection decisions: 1989 and 1999. PsychologicalScience, 11: 315–319.

Durkheim, E. 1997. The division of labor in society. NewYork, NY: Simon and Schuster.

Edenborough, R. 2005. Assessment methods in re-cruitment, selection and performance: Amanager’sguide. London, U.K.: Kogan Page.

Employee Benefit Research Institute 2013. Can you counton postponing retirement? http://www.ebri.org/pdf/FF.247.Post-Ret.19Sept13.pdf (accessedMay 29, 2013).

Fassinger, R. E. 2008. Workplace diversity and publicpolicy: Challenges and opportunities for psychology.The American Psychologist, 63: 252–268.

Feyrer, J. 2007. Demographics and productivity. The Re-view of Economics and Statistics, 89: 100–109.

Finkelstein, L. M., Burke, M. J., & Raju, M. S. 1995. Agediscrimination in simulated employment contexts:An integrative analysis. The Journal of AppliedPsychology, 80: 652–663.

Fiske, S. T., Cuddy, A. J., Glick, P., & Xu, J. 2002. A modelof (often mixed) stereotype content: Competence andwarmth respectively follow from perceived statusand competition. Journal of Personality and SocialPsychology, 82: 878–902.

Fitzsimons, G. M., & Shah, J. Y. 2009. Confusing one in-strumental other for another: Goal effects on socialcategorization. Psychological Science, 20: 1468–1472.

Fredrickson, G. M. 2002. Racism: A short history.Princeton, NJ: Princeton University Press.

Gatewood, R. D., Feild, H. S., & Barrick, M. 2008. Humanresource selection (6th ed.). Mason, OH: ThomsonSouth-Western.

Glick, P., Zion, C., & Nelson, C. 1988. What mediates sexdiscrimination in hiring decisions? Journal of Per-sonality and Social Psychology, 55: 178–186.

Goldberg, C. B. 2005. Relational demography and similarity-attraction in interview assessments and subsequentoffer decisions: Are we missing something? Group &Organization Management, 30: 597–624.

Google. 2013.Hiring process:What to expect. http://www.google.com/intl/en/jobs/students/joining/ (accessedApril 16, 2013).

Hagafors, R., & Brehmer, B. 1983. Does having to justifyone’s judgments change the nature of the judgmentprocess? Organizational Behavior and HumanPerformance, 31: 223–232.

Hamilton, D. L. 1979. Advances in experimental social psy-chology In L. Berkowitz (Ed.),A cognitive-attributionalanalysis of stereotyping, vol. 12: 53–84. NewYork, NY:Academic Press.

Harris, H., Brewster, C., & Sparrow, P. R. 2003. Internationalhuman resource management. London, U.K.: Char-tered Institute of Personnel and Development.

Heilman, M. E. 1983. Sex bias in work settings: The Lackof Fit model. Research in Organizational Behavior,5: 269–298.

Henrich, J., Heine, S. J., & Norenzayan, A. 2010. Theweirdest people in the world. The Behavioral andBrain Sciences, 33: 61–83.

2015 809Lee, Pitesa, Thau, and Pillutla

Page 22: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

Hilton, J. L., & Von Hippel, W. 1996. Stereotypes. AnnualReview of Psychology, 47: 237–271.

Hitt, M. A., & Barr, S. H. 1989. Managerial selection decisionmodels: Examination of configural cue processing. TheJournal of Applied Psychology, 74: 53–61.

Johnson, D. W., & Johnson, R. T. 1989. Cooperation andcompetition: Theory and research. Edina, MN: In-teraction Book Company.

Johnson, S. L. 2009. Winning debates: A guide to de-bating in the style of the World Universities De-bating Championships. New York, NY: InternationalDebate Education Association.

Morgan, J. P. 2013. Recruitment process FAQs. http://careers.jpmorgan.com/experienced/jpmorgan/jobs/search/faqs (accessed April 16, 2012).

Judd, C. M., Kenny, D. A., & McClelland, G. H. 2001. Esti-mating and testingmediation andmoderation inwithin-subject designs. Psychological Methods, 6: 115–134.

Kelley, H. H., & Thibaut, J. W. 1978. Interpersonal rela-tions: A theory of interdependence. New York, NY:Wiley-Interscience.

Kim, P. S., & Lewis, G. B. 1994. Asian Americans in thepublic service: Success, diversity, and discrimina-tion. Public Administration Review, 54: 285–290.

King, E. B., Mendoza, S. A., Madera, J. M., Hebl, M. R., &Knight, J. L. 2006. What’s in a name? A multiracialinvestigation of the role of occupational stereotypesin selection decisions. Journal of Applied SocialPsychology, 36: 1145–1159.

Kraiger, K., & Ford, J. K. 1985. A meta-analysis of rateerace effects in performance ratings. The Journal ofApplied Psychology, 70: 56–65.

Kristof, A. L. 1996. Person–organization fit: An integrativereview of its conceptualizations, measurement, andimplications. Personnel Psychology, 49: 1–49.

Lai, L., & Babcock, L. C. 2012. Asian Americans andworkplace discrimination: The interplay between sexof evaluators and the perception of social skills.Journal of Organizational Behavior, 34: 310–326.

Lewis, A. C., & Sherman, S. J. 2003. Hiring you makesme look bad: Social-identity based reversals of theingroup favoritism effect. Organizational Behaviorand Human Decision Processes, 90: 262–276.

Lin, T.-R., Dobbins, G. H., & Farh, J.-L. 1992. A field studyof race and age similarity effects on interview ratingsin conventional and situational interviews. TheJournal of Applied Psychology, 77: 363–371.

Linville, P. W., & Jones, E. E. 1980. Polarized appraisalsof out-group members. Journal of Personality andSocial Psychology, 38: 689–703.

Lippert-Rasmussen, K. 2006. The badness of discrimina-tion. Ethical Theory andMoral Practice, 9: 167–185.

Lippman, W. 1922. Public opinion. New York, NY:Harcourt.

Macrae, C. N., & Bodenhausen, G. V. 2000. Social cogni-tion: Thinking categorically about others. AnnualReview of Psychology, 51: 93–120.

March, J. G., & Simon, H. A. 1958. Organizations. NewYork, NY: Wiley.

McClelland, D. C. 1975. Power: The inner experience.Oxford, U.K.: Irvington.

McFarland, L. A., Ryan, A. M., Sacco, J. M., & Kriska, S. D.2004. Examination of structured interview ratings acrosstime: The effects of applicant race, rater race, and panelcomposition. Journal of Management, 30: 435–452.

McIntyre, S., Moberg, D. J., & Posner, B. Z. 1980. Prefer-ential treatment in preselection decisions accordingto sex and race. Academy of Management Journal,23: 738–749.

Meyer, R. D., Dalal, R. S., & Bonaccio, S. 2009. A meta-analytic investigation into the moderating effects of sit-uational strength on the conscientiousness–performancerelationship. Journal of Organizational Behavior,30: 1077–1102.

Mullins, T.W. 1982. Interviewer decisions as a function ofapplicant race, applicant quality and interviewerprejudice. Personnel Psychology, 35: 163–174.

Ng, T. W., & Feldman, D. C. 2012. Evaluating six commonstereotypes about older workers with meta-analyticaldata. Personnel Psychology, 65: 821–858.

Office for National Statistics 2013. Migration statisticsquarterly report. http://www.ons.gov.uk/ons/rel/migration1/migration-statistics-quarterly-report/february-2013/msqr-feb13.html#tab-2–Who-is-migrating-to-and-from-the-UK–. Accessed May 11, 2013.

Olian, J. D., Schwab, D. P., & Haberfeld, Y. 1988. The im-pact of applicant gender compared to qualifications onhiring recommendations: A meta-analysis of experi-mental studies.Organizational Behavior andHumanDecision Processes, 41: 180–195.

Pager, D., & Shepherd, H. 2008. The sociology of dis-crimination: Racial discrimination in employment,housing, credit, and consumer markets. Annual Re-view of Sociology, 34: 181–209.

Pager, D., Western, B., & Bonikowski, B. 2009. Discrimi-nation in a low-wage labor market: A field experi-ment. American Sociological Review, 74: 777–799.

Peters, L. H., & Terborg, J. R. 1975. The effects of temporalplacement of unfavorable information and of attitudesimilarity on personnel selection decisions. Organiza-tional Behavior andHumanPerformance, 13: 279–293.

Pew Research Center 2013. The rise of Asian Americans.http://www.pewsocialtrends.org/2012/06/19/the-rise-of-asian-americans/ (accessed May 2, 2013).

810 JuneAcademy of Management Journal

Page 23: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

Phelps, E. S. 1972. The statistical theory of racism and sex-ism. The American Economic Review, 62: 659–661.

Pitesa, M., & Thau, S. 2013. Masters of the universe: Howpower and accountability influence self-servingdecisions under moral hazard. The Journal of Ap-plied Psychology, 98: 550–558.

Prewett-Livingston, A. J., Feild, H. S., Veres, J. G., III, &Lewis, P. M. 1996. Effects of race on interview ratingsin a situational panel interview. The Journal of Ap-plied Psychology, 81: 178–186.

Ridgeway, C. L. 1987. Nonverbal behavior, dominance,and the basis of status in task groups. American So-ciological Review, 52: 683–694.

Roe, R. A. 1998. Personnel selection: Principles, modelsand techniques. In P. J. D. Drenth, H. Thierry & C. J. deWolff (Eds.), Handbook of work and organizationalpsychology, vol. 3: 5–32. Chichester, U.K.: Wiley.

Rosen, B., & Jerdee, T. H. 1976. The nature of job-relatedage stereotypes. The Journal of Applied Psychology,61: 180–183.

Sacco, J. M., Scheu, C. R., Ryan, A. M., & Schmitt, N. 2003.An investigation of race and sex similarity effects ininterviews: A multilevel approach to relational de-mography. The Journal of Applied Psychology, 88:852–865.

Sanchez, D. T., & Bonam, C. M. 2009. To disclose or notto disclose biracial identity: The effect of biracialdisclosure on perceiver evaluations and targetresponses. The Journal of Social Issues, 65:129–149.

Schaller, M., Park, J. H., & Mueller, A. 2003. Fear of thedark: Interactive effects of beliefs about danger andambient darkness on ethnic stereotypes. Personalityand Social Psychology Bulletin, 29: 637–649.

Schwab, D. P., & Heneman, H. G. 1978. Age stereotypingin performance appraisal. The Journal of AppliedPsychology, 63: 573–578.

Sherif, M., Harvey, O., White, B. J., Hood, W. R., & Sherif,C. W. 1961. Intergroup cooperation and competi-tion: The Robbers Cave experiment. Norman, OK:University Book Exchange.

Shih, M., Pittinsky, T. L., & Ambady, N. 1999. Stereotypesusceptibility: Identity salience and shifts in quantita-tive performance. Psychological Science, 10: 80–83.

Shrout, P. E., & Bolger, N. 2002. Mediation in experi-mental and non-experimental studies: New proce-dures and recommendations. Psychological Methods,7: 422–445.

Singer, M., & Sewell, C. 1989. Applicant age and selectioninterview decisions: Effect of information exposureon age discrimination in personnel selection. Per-sonnel Psychology, 42: 135–154.

Stewart, L. D., & Perlow, R. 2001. Applicant race, jobstatus, and racial attitude as predictors of employ-ment discrimination. Journal of Business and Psy-chology, 16: 259–275.

Sundstrom, E., De Meuse, K. P., & Futrell, D. 1990. Workteams: Applications and effectiveness. The Ameri-can Psychologist, 45: 120–133.

Sy, T., et al. 2010. Leadership perceptions as a function ofrace–occupation fit: The case of Asian Americans.The Journal of Applied Psychology, 95: 902–919.

Tajfel, H., & Turner, J. C. 1979. An integrative theory ofintergroup conflict. In W. G. Austin & S. Worchel(Eds.), The social psychology of intergroup rela-tions, vol. 33: 33–47. Monterey, CA: Brooks Cole.

Tang, J. 1993. The career attainment of Caucasian and Asianengineers. The Sociological Quarterly, 34: 467–496.

Tannen, D. 1991. You just don’t understand: Women andmen in conversation. New York, NY: Ballatine.

Taylor, S. E. 1981. A categorization approach to stereo-typing. In D. Hamilton (Ed.), Cognitive processesin stereotyping and intergroup behavior: 83–114.Hillsdale, NJ: Erlbaum.

Terpstra, D. E., & Larsen, J. M. 2011. A note on job type andapplicant race as determinants of hiring decisions.Journal of Occupational Psychology, 53: 117–119.

Tjosvold, D. 1988. Cooperative and competitive in-terdependence collaboration between departments toserve customers. Group & Organization Manage-ment, 13: 274–289.

Tjosvold, D., Andrews, I. R., & Struthers, J. T. 1991. Powerand interdependence in work groups: Views ofmanagers and employees. Group & OrganizationManagement, 16: 285–299.

Triandis, H. C. 1963. Factors affecting employee selectionin two cultures. The Journal of Applied Psychology,47: 89–96.

U.S. Census Bureau 2010. Frequently occurring surnamesfrom census 2010. http://www.census.gov/genealogy/www/data/2000surnames/ (accessed August 26, 2013).

U.S. Census Bureau 2012. National population projec-tions. http://www.census.gov/population/projections/data/national/2012.html (accessed May 29, 2013).

U.S. Census Bureau 2013. Race main. http://www.census.gov/population/race/ (accessed April 18, 2013).

U.S. Equal Employment Opportunity Commission 2011.Enforcement and Litigation Statistics. http://www.eeoc.gov/eeoc/statistics/enforcement/ (accessed April27, 2013).

Van Lange, P. A. 1999. The pursuit of joint outcomes andequality in outcomes: An integrative model of socialvalue orientation. Journal of Personality and SocialPsychology, 77: 337–349.

2015 811Lee, Pitesa, Thau, and Pillutla

Page 24: DISCRIMINATION IN SELECTION DECISIONS: INTEGRATING …scholar.rhsmith.umd.edu/sites/default/files/pitesa/files/... · 2016-07-01 · lection decisions, which are defined as decisions

Wageman, R. 1995. Interdependence and group effective-ness.Administrative Science Quarterly, 40: 145–180.

Weber, M. 1947. The theory of economic and social or-ganization. Henderson, A. M., & Parsons, T. (trans.).New York, NY: Oxford University Press.

Whitley, B. E., & Kite, M. E. 2009. The psychology of prej-udice and discrimination. Belmont, CA: Wadsworth.

Wiggins, J. S., Trapnell, P., & Phillips, N. 1988. Psycho-metric and geometric characteristics of the RevisedInterpersonal Adjective Scales (IAS-R). MultivariateBehavioral Research, 23: 517–530.

Wiggins, J. S., Phillips, N., & Trapnell, P. 1989. Circularreasoning about interpersonal behavior: Evidenceconcerning some untested assumptions underlyingdiagnostic classification. Journal of Personality andSocial Psychology, 56: 296–305.

Wong, M. G. 1980. Model students? Teachers’ perceptionsand expectations of their Asian and White students.Sociology of Education, 53: 236–246.

Sun Young Lee ([email protected]) is an assistantprofessor in the Department of Management Science andInnovation at the University College London. She re-ceived her PhD in organizational behavior from London

Business School. Her research focuses on understandingthe effects of interdependence (e.g., competition, co-operation) among organizational members on individuals’perceptions, behaviors, and performance.

Marko Pitesa ([email protected]) is an assistantprofessor in the Management and Organization De-partment at the Robert H. Smith School of Business at theUniversity of Maryland. He received his PhD in organi-zational behavior from Grenoble Ecole de Management.He studies why people engage in counterproductive be-havior at work, and is particularly interested in howchanges in work conditions (abundance, power, mobility,alienation) lead to negative social consequences.

Stefan Thau ([email protected]) is an associateprofessor of organizational behavior at INSEAD in Sin-gapore. He received his PhD in behavioral and socialsciences from the University of Groningen. His researchfocuses on norm violations, trust, and self-regulation.

Madan Pillutla ([email protected]) is a professor oforganizational behavior at the London Business School.He received his PhD in organizational behavior from theUniversity of British Columbia. His research focuses ontrust, self-regulation, and fairness.

812 JuneAcademy of Management Journal