supporter loyalty: conceptualization, measurement, and outcomes
TRANSCRIPT
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Supporter Loyalty: Conceptualization, Measurement, and Outcomes
Abstract:
Supporter (donors and volunteers) loyalty is conceptualized as the degree to which
supporters have feelings of attachment and devotion for their favorite organization. We validate
a five-item Likert scale to measure supporter loyalty. We then conduct a survey research study
(N = 306) to examine the influence of supporter loyalty on volunteering outcome variables,
donation outcome variables, organizational citizenship outcome variables, and bequest
intentions. We find that supporter loyalty is a good predictor of bequest intentions,
organizational citizenship behaviors, and volunteering behaviors. Supporter loyalty is least
predictive of donation behaviors.
Keywords:
Supporter loyalty, donor loyalty, retention, bequest, volunteering
Note about this paper:
This paper is a before-acceptance draft. Please use the following reference when citing
this article:Wymer, W. & Rundle-Thiele, S. (forthcoming). Supporter loyalty: Conceptualization, measurement,
and outcomes. Nonprofit and Voluntary Sector Quarterly, before-print online version available at
http://dx.doi.org/10.1177/0899764014564579
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Supporter Loyalty: Conceptualization, Measurement, and OutcomesIt is a virtual truism to state that nonprofit organizations would like to have loyal donors
and volunteers. It is generally taken for granted that more loyal donors are longer retained than
less loyal donors (Sargeant & Jay, 2004). Given that, in some cases, organizations may lose up
to 60 percent of their first time donors (Sargeant & Woodliffe, 2007), retaining donors is
important to nonprofit organizations.
Despite its importance, the nature of loyalty is poorly understood. The relationship
between loyalty and desirable outcomes (like donor retention) is also poorly understood. The
purpose of this research is to add to our knowledge of these topics. Specifically, we will
investigate the nature of supporter loyalty. (We use the term supporter loyalty instead of donor
loyalty because supporter refers to volunteers as well as donors.) What does it mean for a person
to feel loyal to a nonprofit organization? What is the organizational attribute that is the object of
loyalty? The organization’s mission, the people served by the organization, the organization’s
leadership, the organization’s staff, the organization’s volunteer or donor community, or the
board of directors? How is supporter loyalty measured?
In addition to understanding more about the nature of supporter loyalty, another
contribution of this research is to add to our understanding of the relationship between supporter
loyalty and possible outcome variables. To what degree does loyalty influence behaviors and
intentions? Does supporter loyalty influence donation behaviors? Does it influence volunteering
behaviors? Does it influence organizational citizenship behaviors? Does it influence future
behavioral intentions?
Conceptual Background
The Nature of Supporter Loyalty
In the nonprofit scholarly literature, loyalty has been primarily used in two different ways
(AbouAssi, 2012). First, loyalty is often used as a surrogate for retention, usually donor
retention. Researchers using loyalty as a substitute for retention often do not define the loyalty
construct. Poor construct conceptualization often results in series consequences for the validity
of research (MacKenzie, 2003). An examination of the context in which the term loyalty is used
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and examining the way in which loyalty is measured often makes it clear that retention is being
investigated (Gutierrez-Nieto & Serrano-Cinca, 2010; Naskrent & Siebelt, 2011; Sargeant,
Hudson, & Wilson, 2012; Waters, 2011).
Conflating antecedent (loyalty) and consequent (retention) constructs weakens the
validity of some prior research. If we are really examining retention and not loyalty, it would be
better to state this explicitly. The conflated use of retention and loyalty may be the result of
researchers uncritically extending prior work from the marketing discipline to the nonprofit
context. Despite the meaning of loyalty in the English language, loyalty’s meaning as used in
marketing research was derived from business jargon. Loyalty was used in the marketing
practitioner lexicon to refer to repeated, regular shopper patronage at a specific retain store chain
(customer loyalty). Brand loyalty was soon thereafter used to refer to consumer enduring repeat
purchasing of a branded product (Wymer, 2013a).
One theoretical weakness in defining loyalty “operationally” by equating it with its
anticipated outcome, retention, is that of differential choice and commitment. From the
perspective of a business, if a customer buys a ticket or purchases a product, the customers has
made a choice. The substitution of loyalty with retention, as applied research, may have
appeared logical, but as social science research, it was flawed. Customers usually have
transactional exchanges with sellers. Their choices are often limited. If a seller has little or no
competition, customers are retained. Are customers loyal to their electric company? The
instances in which a customer would feel a sense of loyalty towards a seller or its brand are quite
limited. Extending applied business research into the nonprofit context should only be done with
careful consideration (Sargeant, Foreman, & Liao, 2002).
Conflating retention with loyalty for charities is even more problematic. For example,
the purchase of an airline ticket from Company A is also a choice of not buying an airline ticket
from Company B (assuming a choice exists). However, making a donation to Charity A is not
also a choice of not making a donation to Charity B. People may give modest amounts to the
annual campaigns of multiple nonprofit organizations. Can each organization claim these donors
are loyal, even if they are retained? Loyalty implies a level of devotion and attachment that
motivates a differentially greater level of commitment from a supporter. Simple retention does
not capture this aspect of the loyalty conceptual domain. Some people buy cookies each year
from their neighbors’ or coworkers’ daughters who participate in scouting. Some people drop
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coins into Salvation Army kettles most Christmas seasons. Are these regular supporters loyal to
their recipient nonprofit organizations?
The second way in which loyalty has been primarily used in nonprofit scholarship
conceptualizes loyalty as a psychological construct of an individual with respect to a target
nonprofit organization. Goldfarb (2011) defines loyalty was a person’s devotion to a cause. In
the Sage Nonprofit Insights (2013) study on donor loyalty, donor loyalty is defined as an
emotional connection and relationship between donors and the nonprofit organization. Hustinx
and Lammertyn (2004) do not define loyalty, but the context in which loyalty is used views
supporter loyalty as a volunteer’s feelings of attachment and devotion towards the organization.
We believe that conceptualizing supporter loyalty as a latent psychological construct and
distinguishing supporter loyalty from outcome variables it may influence has greater validity.
We, therefore, define supporter loyalty as a supporter’s (donor or volunteer) feelings of
attachment and devotion for a favorite organization.
In understanding the nature of supporter loyalty, it is valuable to better understand the
nature of the loyalty object. We did not find a discussion of this issue in prior research. In the
nonprofit research literature, it is tacitly assumed that the loyalty object is the organization one
supports. This may be true and it is a reasonable assumption. However, does a supporter have
feelings of attachment and devotion to the organization as an institution? Are supporters’
feelings of loyalty instead directed at a nonprofit’s mission, its leadership, its staff, its
community of volunteers or donors, or its board of directors? Are feelings of loyalty directed at
the people served by the organization?
Without prior literature to guide us, we will approach this component of our investigation
in an exploratory manner. Rather than develop a hypothesis, we will empirically examine
probable organizational attributes that may serve as loyalty objects. This will serve as a
component of this study that will be further described operationally in the methods and
procedure section.
Consequents of Supporter Loyalty
The reason for the increasing interest in loyalty is predominately motivated by desired
outcome variables believed to be consequents of loyalty (their antecedent). It is reasonable to
believe that supporter loyalty is an antecedent construct that influences some outcome variables.
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Donor retention, as discussed previously, has been the principle focus of prior research on donor
loyalty. However, to add to our knowledge of the relationship between supporter loyalty and
outcome variables it influences, we will discuss four categories of possible outcome variables:
donation behavior outcomes, volunteer behavior outcomes, organizational citizenship behaviors,
and future bequest intentions.
Donating Behavioral Outcomes
It is reasonable to believe that supporters of a nonprofit organization who have strong
feelings of loyalty towards the organization would have stronger motivations to give than
supporters having weaker feelings of loyalty towards the organization. Indeed, this has been a
fundamental assumption in much of the fundraising literature (Burnett, 2002; Sargeant &
Woodliffe, 2007). We argue that supporter loyalty is a psychological construct that influences
individuals’ motivations for supporting the nonprofit organization to which they have feelings of
attachment and devotion. All things being equal, feelings of loyalty motivate donative
intentions, and are manifested in donation behaviors. Hence, we present the following
hypothesis:
H1
:
Supporter loyalty influences donor outcomes in a positive direction.
We will examine the influence of supporter loyalty on multiple donative outcome
variables to provide a richer understanding of this important relationship. One donative outcome
variable we will examine is donation recency, referring to how recently supporters made their
prior donations to their favorite organizations. Another donative outcome variable we will
examine is donation frequency, which refers to how often supporters donate to their favorite
organizations in an average year. We will also examine the influence of supporter loyalty on the
donation amount, which refers to supporters’ estimated total amount donated to their favorite
organization over the past year. Another donative outcome variable of interest is the amount of
supporters’ most recent, or last, donation. To add greater specificity to our first hypothesis, we
present the following sub-hypotheses of H1:
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H1a
:
Supporter loyalty influences donation recency in a positive direction.
H1b
:
Supporter loyalty influences donation frequency in a positive
direction.
H1c
:
Supporter loyalty influences annual donation amount in a positive
direction.
H1d
:
Supporter loyalty influences last donation amount in a positive
direction.
Volunteering Behavioral Outcomes
It is also reasonable to expect supporter loyalty to influence volunteering behaviors.
Supporters with greater feelings of attachment and devotion for their favorite nonprofit
organization are likely to have greater motivation for volunteer service than supporters reporting
weaker supporter loyalty. Therefore, we offer the following hypothesis:
H2
:
Supporter loyalty influences volunteering outcomes in a positive
direction.
The volunteering outcome variables we examine in this research are average monthly
volunteering, volunteering recency, and monthly volunteering frequency. Average monthly
volunteering refers to the number of hours that supporters’ volunteer for their favorite nonprofit
organization during an average month. Volunteering recency refers to how recently it has been
since supporters last volunteered for their favorite organization. Monthly volunteering frequency
refers to the number of different times during a typical month in which supporters volunteer for
their favorite organization. We present the following sub-hypotheses of H2:
H2a
:
Supporter loyalty influences average monthly volunteering in a
positive direction.
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H2b
:
Supporter loyalty influences volunteering recency in a positive
direction.
H2c
:
Supporter loyalty influences monthly volunteering frequency in a
positive direction.
Organizational Citizenship Outcomes
Research on organizational citizenship behaviors began as a way to understand employee
behaviors that reflected a positive engagement with the organization, but were not part of formal
employee duties and responsibilities (Smith, Organ, & Near, 1983). Why do some employees
regularly engage in helpful, supportive behaviors not required by their organizations? In the
nonprofit supporter context, some supporters regularly engage in extra-role helpful, supportive
behaviors, while other supporters do not (Farmer & Fedor, 2001). We will use the term
organization citizenship behaviors or outcomes to refer to prosocial behaviors, beneficial to the
organization, not normally associated with specific supporter roles.
Supporting a nonprofit organization’s work is often motivated by value expression and
self-identification, which is particularly important for activating behaviors not prescribed by
specific roles (Katz & Kahn, 1978). We argue that stronger feelings of supporter loyalty
motivate supporters toward greater levels of organization citizenship participation. We offer the
following hypothesis:
H3: Supporter loyalty influences organizational citizenship behaviors in
a positive direction.
The organizational citizenship behaviors we examine are volunteer recruitment, donor
recruitment, event attendance, and fundraising engagement. Volunteer recruitment refers to the
number of new volunteers supporters have recruited for their favorite organization over the past
year. Donor recruitment refers to the number of new donors supporters have acquired for their
favorite organization over the past year. Event attendance refers to the number of organizational
events supporters have attended during the past year. Fundraising engagement refers to how
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actively supporters have helped their focal organization with its fundraising activities. We offer
the following sub-hypotheses:
H3a
:
Supporter loyalty influences volunteer recruitment in a positive
direction.
H3b
:
Supporter loyalty influences donor recruitment in a positive direction.
H3c
:
Supporter loyalty influences event attendance in a positive direction.
H3d
:
Supporter loyalty influences fundraising engagement in a positive
direction.
Future Bequest Intentions
Bequests or legacy gifts are important outcomes of donor cultivation and donor
relationship programs (Sargeant, Wymer, & Hilton, 2006; Wiepking, Madden, & McDonald,
2010). We argue that, all things being equal, supporters with strong feelings of loyalty to their
favorite organization are more likely to leave a bequest than supporters with weaker feelings of
loyalty. We offer the following hypothesis:
H4
:
Supporter loyalty influences supporter bequest intentions in a positive
direction.
Methods and ProceduresWe describe a study developed to test the preceding hypotheses as well as to examine the
loyalty object issue discussed previously. We will begin by discussing our data collection
procedures and sample. Then we will describe our measures. Finally, will discuss our analysis
and present our findings.
Sample
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A list of 5,000 email addresses was rented from First Direct Solutions, which is a division
of the Australia Post. This sample frame was chosen because it is updated annually through a
national lifestyle survey, it contains a good proportion of the Australian population (4.6 million
out of 22.4 million total), and is representative of the general Australian population (Anonymous,
2010a, 2010b).
Email recipients were invited to complete our online survey. A reminder was sent one
week later, followed by a final reminder one additional week later. Approximately 536 email
messages were returned as undeliverable or given an “out of office” reply; 306 surveys were
completed for an approximate response rate of seven percent.
The sample was comprised of 195 females (63.7%) and 111 males (36.3%). Participants
ages ranged from 18 to 86 years (mean = 48 years). With respect to the relationship status of
respondents, 14.4 percent were single, 4.6 percent were widowed, 61.1 percent were married or
living with a partner, and 18.6 percent were divorced or separated.
Measures
The measures used for the supporter loyalty construct and its consequent outcome
variables are presented in the Table 1.
Insert Table 1 here.
Supporter Loyalty
A refined five-item Likert scale was derived from Wymer and Rundle-Thiele’s (2009)
supporter loyalty scale. The five items are presented in Table 1. We selected the five items from
the original set of 30 items for several reasons. Loyalty is conceptualized as a one-dimensional
construct. The relationship of the construct to its indicators is reflective, rather than formative.
This implies that the indicators are expected to correlate and that the items are relatively
interchangeable. That is, items should be able to be removed without degrading the construct
validity of the scale if the conceptual domain of the construct is still manifested in the surviving
indicators (Diamantopoulos & Siguaw, 2006).
The algorithm in structural equation modeling (SEM) is such that successfully fitting the
scale (measurement model) to the data limits the number of scale items per latent variable to a
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maximum of six indicators (Ping, 2008). With respect to reflective measures, Kline (2011)
recommends four items per latent variable, but finds three items per latent variable acceptable.
Following the recommendations of Hair et al. (2013) we selected a set of five scale items that
avoid semantic redundancy while collectively reflecting the construct’s conceptual domain.
According to Ping (2004), a scale’s consistency and unidimensionality are suggested by a
measurement model that fits the data. To assess the acceptability of our supporter loyalty scale,
we conducted a confirmatory factor analysis (CFA) using covariance-based structural equation
modeling (CB-SEM). We used the cutoff recommendations recommended by Hair et al. (2010)
to assess the fit of the measurement model (supporter loyalty scale) with the data. Our results,
presented in Table 2, indicate that the measurement model meets for exceeds all fit index cutoff
levels. We conclude that the measurement model is a good fit.
Insert Table 2 here.
With respect to internal consistency reliability, the composite reliability and Cronbach’s
alpha coefficients exceed the 0.70 minimum recommended by Nunally and Bernstein (1994).
According to Nunally and Bernstein (1994), Cronbach’s alpha coefficients between 0.70 and
0.90 are most satisfactory. As the coefficient increases above 0.90, this indicates that the scale
items are measuring the same content of the construct’s conceptual domain. The reliabilities are
presented in Table 3.
Insert Table 3 here.
Convergent validity is the extent to which a measure correlates positively with alternative
measures of the same construct. Hair, Ringle, and Sarstedt (2011) recommend deleting scale
items having outer loadings below 0.40. Outer loadings exceeding 0.70 are desired. Scale items
with outer loadings between 0.40 and 0.70 should be evaluated further. They suggest that scale
items greater than 0.40, but less than 0.70, should be retained if the item its removal affects
content validity. Since item 5 (See Table 1) does not appear to be redundant (that is,
semantically similar to another scale item) and since item 5’s outer loading of 0.68 (see Table 3)
is quite close to the 0.70 threshold, we chose to retain the scale item. Furthermore, it not unusual
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to observe comparatively weaker outer loadings when newly developed scales are used (Hulland,
1999).
Convergent validity signifies that a set of indicators represents one and the same
underlying construct, which can be demonstrated through their unidimensionality. Fornell and
Larcker (1981) suggest using the average variance extracted (AVE) as a criterion of convergent
validity. An AVE value of at least 0.5 indicates sufficient convergent validity, meaning that a
latent variable is able to explain more than half of the variance of its indicators on average
(2009). The AVE for supporter loyalty is 0.63 (see Table 3) and exceeds the 0.50 cutoff.
Discriminant validity is assessed by comparing the scale item loadings on supporter
loyalty with their cross-loadings on other variables. A discriminant validity problem is indicated
by cross-loadings that exceed a scale item’s outer loadings (Chin, 1998; Gotz et al., 2009). Our
five-item supporter loyalty scale yielded a single-factor solution in a factor analysis. A
comparison on supporter loyalty scale item loadings from Table 3 with the supporter loyalty
scale’s cross-loadings on other variables from Table 4 shows that the loadings on the target
construct are much greater than their cross-loadings.
Insert Table 4 here.
Outcome Variables
The outcome variable measures are presented in Table 1. Single-item scales were
considered acceptable for these variables because respondents were estimating simple concepts
like the number times they volunteer in an average month. It is common in prior research, also,
to measure behavioral intention outcome variables (in our study, bequest intentions) with a single
item (Wymer, 2012).
Analysis
The measurement model has been evaluated and validated. It is now appropriate to
assess the influence of supporter loyalty on our various outcome variables. Since our outcome
variables use single-item measures, since we are interested in the ability of supporter loyalty to
predict our outcome variables, and since our model is simple, we will test our hypotheses using a
series of OLS regressions in which our independent variable is supporter loyalty and our
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dependent variable will consist of a series of our outcome variables. The results of our
significant findings are presented in Table 5.
Insert Table 5 here.
Beta is the standardized version of B. It indicates the effect that a one standard deviation
unit change in the independent variable has on the dependent variable (also measured in standard
deviation units). The use of Beta coefficients provides a means of comparing the relative
influence of supporter loyalty on the variance of outcome variables. The greater the magnitude
of Beta corresponds to a greater influence of supporter loyalty on an outcome variable. Our Beta
comparisons indicate that the ability of the supporter loyalty construct to predict desirable
outcomes in strongest for a supporter’s participation on organization fund raising activities and
weakest for a supporter’s donation frequency.
The coefficients of determination (R2) represents the percentage of variance explained by
supporter loyalty in each regression. The R2 values provide a useful measure of effect size,
espcially considering each regression used a single independent variable and a single dependent
variable (Ellis, 2010). Adjusted R2 statistics remove an upward bias that may result from large
sample sizes and the number of independent variables in a regression. Since our regressions only
use a single independent variable, supporter loyalty, the adjusted R2 statistics are equivilent to
Cohen’s f 2 effect size statistics. Guidelines for assessing the degree of substantive impact of an
independent variable are indicated by f 2 values of approximately 0.02, 0.15, and 0.35,
respectively representing small, medium, and large effects (Cohen, 1988). Table 6 presents the
adjusted R2 statistics and their respective effect size assessment. It is noteworthy that, although
supporter loyalty was found to have significant effects on most outcome variables, the relative
strength of these effects was somewhat small. That is, although supporter loyalty is helpful in
predicting many desirable outcomes, supporter loyalty’s influence on the outcome variables is
relatively modest.
Insert Table 6 here.
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We wanted to add to our understanding of the nature of supporter loyalty. The construct
reflects an individual’s feelings about a loyalty object. However, to what does a volunteer feel
loyal? Consulting with research colleagues and practitioners, we developed a list of seven likely
loyalty objects (presented in Table 7). Respondents were asked to rank order the seven listed
items based on each’s perceived personal importance (1st = most important; 7th = least important).
The mission and purpose of the organization was the most important, followed by the people
served by the organization. The organization’s donors and board of directors were least
important. The organization’s leadership, staff, and volunteers were ranked third, fourth, and
fifth, respectively.
Insert Table 7 here.
DiscussionSummary of Findings
We defined supporter loyalty as supporters’ feelings of attachment and devotion for their
favorite nonprofit organization. With respect to our empirical findings, supporter loyalty was
least effective in predicting donation behaviors. Of the four donation behavior hypotheses,
supporter loyalty was a significant predictor of donation frequency (H1b). Supporter loyalty
influences how often supporters donate to their favorite nonprofit organization.
Supporter loyalty was considerably better at predicting volunteering behaviors. All three
of our volunteering behavior hypotheses were significant (H2a-c). Supporter loyalty influences
average monthly volunteering, volunteering recency, and volunteering frequency.
Supporter loyalty was a good predictor of organizational citizenship behaviors.
Supporter loyalty was a significant predictor of volunteer recruitment performance (H3a),
attendance at organization events (H3c), engagement in fundraising activities (H3d), but not
donor recruitment performance (H3b).
Finally, supporter loyalty was a significant predictor of supporters’ intentions to make a
bequest to their favorite organization (H4).
We can compare the relative influence of supporter loyalty across the significantly
predicted outcome variables by examining the magnitude of the Beta coefficients presented in
Table 5. In descending order of influence, supporter loyalty had the greatest influence on (1)
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participation in fundraising activities, followed by (2) volunteering recency, then (3) attendance
at organization events, then (4) supporters’ intentions to make a bequest, then (5) monthly
volunteering frequency, then (5) volunteer recruitment performance, then (6) average monthly
hours of volunteering, and then (7) donation frequency.
The strength of the influence of supporter loyalty on the outcome variables was modest.
Examining our assessment of the effect sizes presented in Table 6, the influence strength of
supporter loyalty on attendance in fundraising events was medium or moderate. The influence
strength of supporter loyalty on the remainder of the outcome variables was relatively small.
With respect to better understanding the nature of the organizational loyalty object
components to which supporters feel loyal, we found that the organization’s mission/purpose and
the people served by the organization were the most important organization components (see
Table 7). The next three organization components in terms of perceived importance were the
organization’s leadership, its staff, and its volunteers. The organization’s donors and board of
directors were the least important organizational loyalty object components.
Contributions of Research
One of the contributions of this research is a better understanding of the nature of the
supporter loyalty construct. In our conceptualization of supporter loyalty, we clearly distinguish
the construct from its potential consequents or outcomes, a common oversight in prior research.
We conceive supporter loyalty as a psychological construct that influences behaviors and
intentions. Supporter loyalty refers to feelings of attachment and devotion to a nonprofit
organization.
The object to which supporters are loyal is probably a gestalt; a comprehension of the
organization derived from its components. Supporters’ comprehension of the organization is
influenced by information they receive about the organization as well as their experiences with
the organization. Perceptions of the organization are also likely influenced by a comparison of
the organization with similar, or peer, organizations.
Another contribution of this research is the validation of a refined supporter loyalty scale.
A five-item Likert scale for measuring the supporter loyalty construct was evaluated. In
exploratory factor analysis, the scale produced a single-factor solution. In confirmatory factor
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analysis, the measurement model proved to be a good fit for the data; with strong, significant
loadings. The scale’s reliability, convergent validity, and discriminant validity were supported.
Another contribution of this research is the knowledge added to our understanding of the
relationship between supporter loyalty and important outcome variables. Supporter loyalty was
found to be a predictor of a variety of important supporter outcome behaviors (see Table 5).
Supporter loyalty was also capable of predicting supporters’ intentions making a bequest.
Future Research
Although the influence of supporter loyalty on many of the outcome variables was
significant, the strength of the influence (effect size) was modest. Clearly, there are a number of
influences on a complex human behavior like supporting nonprofit organizations through
donations and volunteering. Knowledge advancement is incremental and, although this research
has contributed to our understanding of this complex behavior, future research is needed to
further enrich our knowledge. The relationship between supporter loyalty and other constructs in
its nomological network needs to be better understood. Figure 1 will present a general model
which will help to organize our discussion of needed future research.
Insert Figure 1 about here.
The position of the supporter loyalty construct in the relationship between and
organization’s marketing/communication activities (antecedents) designed to foster support from
targeted audiences is probably one of mediation. In Figure 1 supporter loyalty is presented as a
mediator construct. One effect is represented by the relationship between an organization’s
marketing activities (tactics) and obtaining desired outcomes from target audiences. Marketing
tactics also influence supporter loyalty. That is, all things being equal, communications and
engagement between an organization and its supporters helps to increase supporter loyalty.
Supporter loyalty influences an audience’s responsiveness to an organization’s marketing tactics.
Future research is needed to better understand the potential mediation role of supporter loyalty.
Brand strength may also serve an important mediation role in this nomological net.
Brand strength refers to the degree to which target audiences are knowledgeable about a
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nonprofit organization, the degree to which they perceive a nonprofit organization favorably, and
the degree to which they perceive a nonprofit organization to be remarkable (Wymer, 2013b).
An organization’s marketing tactics influences its brand strength. Brand strength influences an
audience’s responsiveness to an organization’s marketing tactics. Brand strength may also
influence supporter loyalty. All things being equal, the more knowledgeable about the
organization, the more favorably the organization is perceived, and the more remarkable the
organization is perceived, the more likely one is have feelings of loyalty towards the
organization. The relationship between brand strength and supporter loyalty needs to be
explored in future research.
Individual factors are presented in Figure 1 as a moderator. Individual factors refer to
those individual characteristics that influence an individual’s responsiveness to the marketing
activities of an organization. Individual factors include demographic variables, values, life stage,
and personality, among others. Future research is needed to better understand which individual
factors interact with marketing tactics and supporter loyalty.
The supporter loyalty construct is interesting in that it is probably developmental. It is
likely that loyalty follows a relational progression similar to that of sports fans developing an
emotional attachment to a team (Funk & James, 2006). The process may begin with an
awareness stage. Individuals become more familiar with an organization through information
about the organization received from the organization and other sources. The next progressive
stage may be attraction. An individual’s feelings and attitudes toward the organization become
more positive. If the attract phase is sufficiently positive, individuals may progress to the
engagement stage. The engagement phase is characterized by personal experiences with the
organization. If the engagement phase is sufficiently positively reinforced, individuals may
progress to the loyalty phase. Psychological and sociological reinforcements lead to feelings of
attachment and devotion. This hierarchical progression is depicted in Figure 2.
Insert Figure 2 about here.
Future research is needed to better understand how supporter loyalty develops. It is
important to understand more about the antecedents of supporter loyalty. However,
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understanding more about how antecedents’ differentially influence the development of loyalty
over time would be especially enlightening.
Our findings indicate that supporter loyalty is much more predictive of volunteering
outcomes than of donation outcomes. If, referring to the model in Figure 2, engagement is part
of the developmental progression to supporter loyalty, then we have a means of understanding
our findings more clearly. Although donating and volunteering are both types of supportive
behaviors, the two are qualitatively different forms of engagement with the organization.
Donating to an organization may be less interpersonally engaging than volunteering to the extent
that volunteering typically involves more interpersonal interaction with others connected with
the organization. It may be that the greater level of personal engagement with the organization
from volunteering leads to greater levels of loyalty, which, in turn, leads to greater levels of
support (the desired marketing outcomes discussed previously). More research on this issue
would be an important contribution to the literature.
It may be, then, that a virtuous cycle can develop. As supporters’ attachments to the
organization increase, their motivation for engagement increases, reinforcing feelings of loyalty,
motivating further support, and so on. A positive feedback loop may be established at some
point. Volunteering, compared to donating, may be a more intensive type of engagement that
has a stronger relationship with loyalty. This is conjecture, but suggests important areas for
future research.
One contribution of this study was the enhancement our understanding of the
organization as a loyalty object. The organization as a loyalty object is likely a gestalt of
different components. Respondents indicated that organizational mission/purpose, the people
served by the organization, and its leadership are the more important components of the
organization. Having a better understanding of the entity to which supporters develop feelings of
attachment and devotion is valuable. Nonprofit managers are better informed about which
features or attributes of the organization to emphasize in marketing communications.
Emphasizing what matters most to audiences increases the effectiveness (achieving outcomes) of
communication/marketing programs. More research is needed on this topic.
More research is also needed to understand the influence of loyalty on additional
supporter outcomes. Nonprofit organizations plan and implement communication/marketing
programs to achieve desired outcomes. Although we examined several outcome variables, there
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are other outcome variables yet to be examined. Had we limited our outcome variables to donor
retention, the interesting differences between donation and volunteering behaviors would not
have been discovered (a contribution of this study). We included organizational citizenship
behaviors as a supporter outcome category. We also included a bequest intentions outcome
variable which is important and provided an interesting comparison to our donation behavior
outcome variables. Since the outcome variables are indications of marketing effectiveness, their
attention needs greater emphasize in future research. Practitioners would likely have a keen
interest in learning how to more effectively achieve marketing outcome objectives.
Practical Implications
Although some practical implications are embedded in the prior discussion, we will
conclude by discussing additional practical implications from this research. In a sense, it is
obvious that organizations benefit from building relationships with supporters, usually through
marketing/communications activities. Nevertheless, managerial effectiveness requires placing
greater emphasis on variables having greater influence on desired outcomes.
Our findings show that the more salient components of the organization as a loyalty
object were the organization mission/purpose, the people served by the organization, and the
organization’s leadership. It is likely that these are also the more salient components of the
organization as a brand object. Marketing messages might be more effective if they place greater
emphasis on these salient components that supporters perceive to be most important.
The desired outcome of support, donating or volunteering, is both an end and a means.
The organization wants the support, of course. However, individuals’ support needs to be
reinforced by the organization in order to motivate individuals to continue their support or to
intensify (or diversify) their support. Reinforcement implies that supporters perceive their
support as positive (not necessarily pleasurable) experiences. Supporters’ motivations for
support need to be validated. Expressing appreciation is good, but communicating how
individuals’ support helps the people served by the organization is even better.
Engagement with the organization appears to be important. Managers might find it
useful to provide donors with more volunteering experiences to increase personal engagement
with the organization. Greater engagement, if it results in positive reinforcement for support,
may increase feelings of loyalty for the organization, enhancing motivations for more additional
19
support. Finally, managers are interested in increasing bequest giving among supporters and this
research found a relationship between supporter loyalty and bequest intentions. The implication
is that increasing supporter loyalty influences a variety of desired outcomes.
20
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Table 1. Measures of Supporter Loyalty and Outcome VariablesSupporter Loyalty
1. I feel a sense of belonging with my organization.2. I am devoted to my organization.3. My organization values me.4. My organization trusts me.5. I trust my organization.
Note: These items were evaluated as a series of 7-point Likert formatted statements. 1 = strongly disagree to 7 = strongly agree.
Donating Outcomes:Donation recency
How many months has it been since your last monetary donation to your favorite organization?Note: Respondents were given a choice set which began with “less than one month,” followed by “1 month,” “2 months, and so on until reaching “more than 20 months.”
Donation frequency
Please estimate how often you contribute monetary donations in an average year to your favorite organization.Note: Respondents were given a choice set ranging from 1 (once a year) to 52 (weekly).
Annual donation amount
Please estimate the amount of dollars you donated to your favorite organization over the past year.Note: Respondents typed in their answers in a text box.
Last donation amount
Please estimate the dollar amount of your last donation to your favorite organization.Note: Respondents typed in their answers in a text box.
Volunteering Outcomes:Average monthly
volunteering
How many hours do you volunteer for your favorite organization in an average month?Note: Answer choices ranged from 0 to 70 hours per month.
Volunteering recency
How many weeks has it been since you last volunteered for your favorite organization?Note: Answer choices range from 1 (less than 1 week) to 33 (more than 30 weeks since I last volunteered).
Monthly volunteering
frequency
How many times during an average month do you volunteer for your organization?Note: Answer choices ranged from 0 (no times per month) to 30 (daily volunteering).
Organizational citizenship outcomes:Volunteer
recruitmentOver the past year, how many new volunteers have you brought in to your favorite organization?Note: Answer choices ranged from 0 to 20.
Donor recruitment
Over the past year, how many new financial contributors have you brought in to your favorite organization? Note: Answer choices ranged from 0 to 20.
Event attendance
Over the past year, how many of your favorite organization's events have you attended?Note: Answer choices ranged from 0 to 20.
Fundraising engagement
On a scale of 1 to 7, how actively do your help your favorite organization with its fund-raising activities?Note: Answer choices ranged from 1, not active, to 7, extremely active.
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Bequest intentions
On a scale of 1 to 7, how likely are you to leave a bequest to your favorite nonprofit in your will?Note: Answer choices ranged from 1, “I definitely will not,” to 7, “I definitely will.”
Table 2. Measurement Model Fit Indices and Cutoff ValuesFit Index Cutoff Value Supporter Loyalty Scale
Chi-square/df < 3 1.782p-value of model >.05 .113
CFI >.95 .994GFI >.95 .988
AGFI >.80 .965RMSEA <.05 .051PCLOSE >.05 .423
Note: Cutoff values based on recommendations of Hair et al. (2010)
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Table 3. Measurement Model ValuesOuter
LoadingComposite Reliability
Cronbach’s Alpha AVE
Sup. Loyalty 0.894281 0.859690 0.630948Item 1 0.767730Item 2 0.738665Item 3 0.860787Item 4 0.903099Item 5 0.680559
Note: Scale item statements are presented in Table 1.
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Table 4. Scale Item Cross-loadings with Other VariablesSupporter Loyalty Scale Items
Variable Item 1 Item 2 Item 3 Item 4 Item 5Donation frequency
0.071010 0.063923 0.090372 0.110793 0.017886
Ave monthly volunteering
0.001566 -0.039365 0.132326 0.109863 -0.031517
Volunteering recency
-0.253978 -0.105662 -0.095624 -0.195411 -0.056444
Monthly volunteering frequency
-0.066782 0.028733 0.063912 -0.014835 0.013474
Volunteer recruitment
-0.072839 0.009939 0.061913 0.021683 -0.060315
Event attendance
-0.109550 -0.035519 -0.017289 -0.021280 -0.091767
Bequest intentions
-0.005594 0.034857 -0.007435 0.076404 0.003998
Fundraising engagement
0.016319 -0.001549 -0.051485 -0.012431 -0.063038
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Table 5. Significant Supporter Loyalty Prediction Results
HypothesisOutcomevariable
Adj R2 B SE Beta
t value
p value
H1b Donation frequency .012 1.340 .648 .123 2.069 .039H2a Ave monthly volunteering .025 2.255 .776 .168 2.907 .004H2b Volunteering recency .069 -3.264 .737 -.271 -4.427 .000H2c Monthly vol frequency .035 1.198 .366 .195 3.275 .001H3a Vol recruitment .034 .435 .130 .194 3.342 .001H3c Event attendance .058 1.467 .338 .248 4.339 .000H3d Fund raiser .134 .750 .109 .371 6.886 .000H4 Bequest intentions .057 .440 .101 .246 4.380 .000
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Table 6. R2 Values and Effect Size AssessmentOutcome variable R2
adj AssessmentDonation frequency .012 ~ SmallAve monthly volunteering .025 SmallVolunteering recency .069 SmallMonthly vol frequency .035 SmallVol recruitment .034 SmallEvent attendance .058 SmallBequest intentions .057 SmallFund raiser .134 ~ Medium
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Table 7. Evaluation of Loyalty ObjectsLoyalty Object Rank MeanThe mission and purpose of the organization. 1 2.35The people served by the organization. 2 3.19The organization’s leadership. 3 3.93The organization’s staff. 4 4.11The organization’s volunteers. 5 4.12The organization’s donors. 6 4.95The organization’s board of directors 7 5.21