master thesis mergers and acquisitions: the social impact
TRANSCRIPT
Master Thesis
Mergers and Acquisitions: The Social Impact on the Local Community
Bahare Taleghani
S4244052
MSc BA Change Management
Faculty of Economics & Business, University of Groningen
Supervisor: Prof. Jordi Surroca
Co-assessor: Dr. Ileana Maris-de Bresser
January 18, 2021
Word count: 11006
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Abstract
The current study used the stakeholder theory to study possible influential effects of Merger
and Acquisitions (M&As) on a crucial stakeholder group: the local community. Thus, the
study predicted that M&As have a negative impact on the well-being of the community
(Hypothesis 1) and additional changes of the management team present an even stronger
negative impact on the local community (Hypothesis 2). The hypotheses were empirically
tested in a panel data set including 80 US-firms of different industry sectors during a period
from 2010-2019. The obtained evidence did not meet the studied expectations as the overall
results did not support the predictions. However, a few interesting findings could be
recognized in the results, which may indicate a possible influential effect of M&As on the
local community.
It is recommended for future research to adjust the research through creating a more
controlled environment by implementing control variables of different perspectives and, more
importantly, to generate access to a larger sample to increase the possibility of finding
significant influences. Moreover, it can be advised to thoroughly study and select the
variables representative of a community’s well-being before conducting future research as the
authentic and reliable value and of these ‘community variables’ seem to be debatable.
Keywords: Corporate Social Responsibility, Local Community, Merger & Acquisition,
Stakeholder Theory, Strategic Management
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Mergers and Acquisitions: The social impact on the local community
In 2019, the worldwide number of Merger and Acquisition (M&As) deals were
approximately 40500 deals with a total value of approximately 3.8 trillion U.S. dollars,
according to the Institution for Mergers, Acquisitions, and Alliances (IMAA, 2020). These
exceptionally high numbers of M&As and their inconceivable value in transactions illustrate
the importance of this strategy in today’s corporate world (Sherman & Milledge, 2006). In
today's newspaper, one is often confronted with headlines stating insights on possible mergers
or new details on the acquisitions of one major company by another powerful company (BBC,
2019; Ewing et al., 2019). Therefore, as the attention around this ‘M&A movement’ is rising,
discussions on purpose and the accurate impact of mergers and acquisitions are also rising.
As technology has evolved and globalization has emerged, a fast-paced economic
market has been created (Clement, 2005), pressuring and forcing corporations to change their
strategic management methods, resulting in M&As becoming attractive as an influential
strategy to enhance growth (Griffin, 2018). A ‘merger’ can be characterized as an alliance of
two or more companies to create a new corporation (Bruner, 2005). As a result, the merger
may create potential synergies benefiting both firms (Robert et al., 2016). At the same time, as
ownership and management control are shared and need to be reorganized collaboratively
(Coyle, 2000), complications and difficulties may arise through the process (Robert et al.,
2016). An acquisition, on the other hand, describes a takeover of one business by another
business (Machiraju, 2007). Thereby, a change of ownership, control, organizational
structure, and cultural environment will follow (Coyle, 2000). By joining resources, the
resulting firm may gain the ability to develop innovations and unite their competences more
efficiently while decreasing costs (Alam et. al., 2014) and create a better basis for companies
to grow to a sustainable successful business (McDonald et al., 2005). Both mergers and
acquisitions are strategies used in strategic management to enhance the potential of firms by
uniting the strength of companies and increasing their power towards their competitors in
today’s business environment (Alam et. al., 2014).
The reasons for engaging in M&As have evolved. Initially, M&As were conceived to
increase the financial assets (Alam et al., 2014) of stable companies or, in the opposite case,
to support companies, which were in debt and had no other way to survive (Bruner, 2011).
Nowadays, the initial purpose is more complex as M&As today are initiated based on
strategic and operational purposes (Galpin & Herndon, 2010) rather than for mainly financial
reasons. However, these claims are constantly debated. It can be noted that the original
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behavior of buying other firms' assets still applies, however it can be identified in a broader
sense as nowadays this implies acquiring not mainly financial assets but rather assets like
"customer bases, better distribution channels, larger geographic boundaries, organizational
competencies and a variety of new talents" (Alam et al., 2014).
Another transition that can be observed is society and stakeholders are more
demanding towards companies’ roles within the society (Carroll & Buchholz, 2008) and have
therefore created stronger expectations towards businesses regarding their attitude, practices,
and products. According to Deloitte’s global millennial survey in 2019, “Millennials, born
between 1983 and 1994, invest their time and money in corporations that prioritize
employees, society, and the environment over generating profits”. Similar to that,
“Generation Zers, born between 1995 and 2002, are also mindful of conscious capitalism”,
which has presented corporations with the need to “engage more actively with stakeholders to
connect with the next generation of employees and consumers” (Deloitte, 2019, p. 5).
Therefore, prominent executive managers, such as Jeff Bezos of Amazon and Jamie Dimon of
JPMorgan Chase (Hazan, 2020) have participated in the signing of the statement on the
purpose of corporations (Bus. Roundtable, 2019), advocating to companies’ directors to take
responsibility for their firms’ activities and to imply appropriate business practices to
contribute to our society and environment.
This way of corporate thinking was first introduced by the Stanford Research Institute
(SRI) in 1960, suggesting the management to analyze, consider and interact not only with
their business shareholders but all stakeholders. This initial statement created a discussion on
the role of stakeholders in various disciplines by different scholars. Thereby, Freeman, as the
leading figure in this discussion, created the stakeholder theory (Freeman, 1984). Elaborations
of the theoretical concept illustrate that relationships with stakeholders are essential to create
the effect to benefit both businesses and society (Parmar et al., 2010; Porter & Kramer, 2011).
Additionally, scholars present that implementing stakeholder thinking in business practices in
an appropriate manner can create value for all stakeholders (Rahdari, 2016). Therefore, to
meet these expectations of society and generate organizational value continuingly, companies
are challenged to change their business practices to create sustainable impact, both
environmentally and socially (Rhodes et al., 2014).
While it seems that stakeholder theory provides an extensive theoretical framework
and discursive device within the literature (Fairfax, 2006; Noland & Phillips, 2010), critics
argue that the theory is lacking to provide a viable platform to all its stakeholders. Companies
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have been influenced by stakeholder theory and are aware of the fundamental value of
stakeholder’s participation in decision making (Cadman at el., 2017) and their impact on
creating sustainable development (Subbarao & Lloyd, 2011). However, evidence still shows
that the practical implication of involving stakeholders, particularly the group of the local
community, is often not considered during the process concerning M&As (Benites-Lazaro &
Mello-Théry, 2018). Adding to that, the literature on corporate law presents evidence that
shareholder’s interests in the context of M&As are still the main priority (Hazan, 2020).
Consequently, stakeholders’ interests are seen to be less important as they are not protected by
appropriate legal practices (Hazan, 2020). Hence, companies use their power and practices to
create benefits for their shareholders rather than for all stakeholders (Griffin, 2018), rising
social and environmental issues at the expense of society, particularly the community (Clark
& North, 2006; Frynas, 2005; Idemudia, 2009).
In order to draw further conclusions, it is essential to have access to adequate
information presenting the effects of corporate strategies like M&As on all stakeholders.
While research on the impact of M&As has increased its range by addressing social factors, a
review of the existing literature still presents a limited perspective on the information
concerning the social impact of M&As.
It can be determined that a significant amount of literature on the social aspects in
M&As focuses on presenting advice to the firm's management to enhance the organizational
transformation (e.g., Myeong-Gu & Hill, 2005; Kansal & Chandani, 2014) rather than
presenting the social impact of corporate strategies on its stakeholders. Additionally, research
on the social impact of M&As concentrates predominantly on the relationships between
companies and their customers or employees (e.g., Griffin, 2018; Hazan, 2020), whereas
research on other stakeholders, like the local community appears to be rarely represented in
the literature. Therefore, it can be stated that even when scholars have increased their focus on
social aspects within the M&A literature, there is still a clear gap in providing information on
the impact of all stakeholders.
Consequently, one essential stakeholder group, presented to be significantly affected
due to corporate activities following M&As, is the local community. Hazan’s (2020) study on
the legislative situation of M&As on stakeholders underlines that “communities can be worse
off because M&A can contribute to economic inequality; typically, wealthy shareholders
benefit while other stakeholders bear the hidden costs of M&A” (p. 798). The study continued
to present the need to implement legislative protection for all its stakeholders. Therefore, it
can be assumed that stakeholders like the local community are misrepresented both in the
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practical implementation of M&As and the theoretical education on the potential negative
outcomes.
In conclusion, it can be noted that existing literature on the social impact of M&As
still is lacking to provide adequate information on the role of local communities in our
corporate world and to present factors affecting all stakeholders, particularly the local
community, when strategic decisions resulting in an organizational change are made. Based
on these findings, this study addresses the following research question:
What is the social impact of M&As on the local communitiy?
This study aims to expand the understanding of stakeholder management in a case of
organizational change following an M&A. Thus, drawing on the stakeholder theory (Freeman,
1984; Parmar et al., 2010), the study’s purpose is to provide new information and empirical
evidence to support stakeholder-proponents concerning the “shareholder-stakeholder debate”.
Additionally, this study seeks to extend the range of existing literature on corporate strategies,
like M&As by researching their power on social groups. Thereby, the focus of this study is
predominantly on the possible implications on the well-being of local communities.
The emanating objective of this study is to contribute additional information and a
new perspective to existing discussions. Accordingly, these findings may support
understanding of the power of business practices and managerial behavior, following an
M&A, in a socio-economic context and express the need to consider all stakeholders,
including the community. Furthermore, this thesis aims to contribute its findings to support
the existing discussions on the need for change in corporate law (Hazan, 2020) to enhance
stakeholder thinking instead of shareholder wealth maximization in today’s corporate world.
This study uses empirical research to investigate the research question, therefore the
following hypotheses are created. First, the study hypothesizes that M&As will reduce the
local community’s well-being. Based on the stakeholder theory (Parmar et al., 2010; Freeman,
1984), outlined in the following theoretical part, this study assumes that corporate strategies in
form of M&As affect stakeholders, such as employees and the local community.
Correspondingly, multiple studies have identified that companies’ behavior can, for instance,
create or eliminate income for employees, which has an additional leverage effect on financial
and social capital within a community (e.g., Alvarado et al., 2017; Clark & North, 2006;
Iamsiraroj, 2016; Lehto & Böckerman, 2008; O’Shaughnessy & Flanagan, 1998). Therefore,
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in line with this literature, it can be assumed that corporate strategies like M&As may
influence a company’s behavior and thereby impact the well-being of a community.
Second, it is presumed that a change in the management team resulting from a Merger
and Acquisition will increase the negative impact on the local community’s well-being. In
line with the social identity theory in terms of organization (Ashforth & Mael, 1989; Kramer,
1991), organizational theory (Hogg & Terry, 2000) and additional literature (Myeong-Gu &
Hill, 2005), this study expects that individuals, in this case, managers, are likely to create a
relationship and connection within a certain group over time. This can be portrayed by an
organization or local community. With a change of management, a new managerial behavior
emerges (Burnes, 2017), which may break prevailing agreement or commitments made by
prior management towards their group, here, the local community (Brehm et al., 2013).
Therefore, this study expects a change in the management team to create negative
implications for the local community. The derivation of the hypotheses is described in depth
and literature-based in the literature review section of this study.
The significant presence of M&A deals presents a dominant and influential trend
within the corporate world while it displays limited information within the literature on the
social implications of M&As on its stakeholders, specifically the local community. Hence,
this presents a gap in the M&A literature and motivates this thesis to provide further research.
This paper contributes to scientific research in three ways.
The first contribution is to support the M&A literature by extending the scope of
research. As can be seen, most M&A works of literature focus on the financial impact.
Regarding the social impact of M&As, existing literature very strongly focused on one
stakeholder group: the employees. Contrarily, the M&A impact on local communities has not
been studied yet, despite its fundamental value as communities are an association of
individuals, as one social group representing society. To provide a better understanding and a
new narrative on the role of local communities, this research aims to present further
information and to create new discussions to extend the available information on the social
impact of M&As.
The second contribution is to provide empirical information to expand the knowledge
on M&A activities and the influence on its stakeholder, mainly local communities. Scholars
of various fields of research have discussed that the number of publications providing
empirical evidence is limited as “research aimed at exploring broader data sets is missing…”
indicating that “…more research efforts are needed to further the understanding” (Pedrini &
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Ferri, 2017, p. 54). This can be explained by the inadequate access to necessary data causing
scholars to use the case study approach within their research (Ashenfelter et al., 2014).
Consequently, studies may display limitations in their range (Ashenfelter et al., 2014) creating
biased results (Blonigen & Pierce, 2016). Therefore, this study’s approach to examining a
suitable dataset will provide adequate research on M&A activities and their influence on
stakeholder relationships.
Third, this thesis provides new information to revive past discussions and create new
ones. As new hard and soft principles like CSR, corporate governance code, or corporate law
regulations have emerged and been discussed more frequently in the past (e.g., Ismail, 2009;
Rhodes et al., 2014), it becomes visible that M&As are business practices that have a
significant effect on society. Debates surface on the commitment of corporations to take
responsibility, and other debates have discussed the need to set stricter legal restrictions to
protect society. Therefore, the findings of the study may contribute to the discussion by
pointing out new factors and solid results on possible effects.
Literature Review
Mergers and Acquisitions
Changes in the economic world resulting from globalization and technological
advancement affected not only the expectations and demands of the society but also triggered
new challenges for companies to be able to further compete. In addition, growth is often set as
the primary goal of businesses in today’s corporate environment (Alam et al., 2014). One way
to both generate growth and adapt to the challenges of the emerged new environment has been
through Mergers and Acquisitions.
Alam et al. (2014) have researched this strategy in today’s corporate world and
introduced M&As as a critical strategy in restructuring corporations. Supporting this claim,
Sherman and Hart (2006) state that M&As have risen to become a powerful and crucial
strategy for companies of all sizes and from different industries to ensure growth (Sherman &
Hart, 2006). As a contribution to strategic management literature, Alam et al. (2014) have
studied multiple aspects regarding the management of this corporate strategy. As a result, they
discuss that gaining assets and control of undervalued businesses were the main motivation of
M&As in the past. That way, companies were able to create a higher value for their
shareholders by reducing costs, saving taxes, rising their market shares, and weakening their
competition (Alam et al. 2014). Multiple scholars explain this drive by stating the common
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belief of the initial purpose of corporations were the maximization of shareholder wealth
(Friedman, 1970), which may also explain that the majority of existing research had set its
focus on investigating and presenting the financial impact of M&As.
However, discussions on the prioritization of shareholder wealth maximization have
emerged over the years and introduced the need to change corporate beliefs and behaviors
since strategic management literature has presented the significance of strategic and
operational planning (Galpin et al., 2010) in the current corporate world. Accordingly, many
scholars strongly propose that to avoid resistance and the failure of the planned change,
management needs to analyze the situation and involve stakeholders actively in an adequate
way (Cawsey et al., 2012). This way of strategic planning has been presented as an essential
tool in not only creating a collaborative and thereby supportive environment, but also to
achieve long-term business success (McDonald et al, 2005). In the case of M&As, Sherman
(2011) states that with limited preparation, expectations of resulting synergies can turn out as
illusions, causing M&As to become a failure rather than a success. This way of thinking has
been supported by multiple theorists creating discussions about a newly emerged paradigm
and increasing attention around the importance of different stakeholders in the context of
business, environmental and judicial disciplines (Carroll, 1989; Donaldson & Preston, 1995;
Freeman, 1984).
Stakeholder Theory and M&As Stakeholder theory, originally introduced by Freeman (1984), explains that when
relationships between companies and their stakeholders are included in the unit of analyses,
problems within the corporation can be dealt with more effectively. The theory defines
stakeholders as „any group or individual who can affect or is affected by the achievement of
the organization’s objectives“ (Freeman, 1984, p. 46). Multiple scholars have contributed
their definition to the stakeholder theory (Clarkson, 2010; Mitchell et al. 1997; Renn et al.,
1993; Soma & Vatn, 2014; Winterfelt, 1992). They demonstrated that identifying
stakeholders is not simple (Vos, 2003) but it is important to observe and considerably manage
the relationships with stakeholders (Elijido-ten et al., 2010) as they are ”…having a specific
stake in a certain decision“ (Soma & Vatn, 2014, p. 12). Adding to that, Donaldson and
Preston (1995) have addressed multiple aspects elemental to create an efficient relationship
with stakeholders. According to them, companies can generate better competencies and
become more competitive by showing proactive behavior towards identifying and engaging
with stakeholders. This implies actively exploring the relationship with social groups like
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„employees, customers, the community, suppliers, shareholders, and the natural environment“
(Rhodes et al., 2014) to enable the strategic change even further increasing firms’ wealth
substantially (Donaldson & Preston, 1995; Post et al., 2002). Hence, these findings of
numerous scholars identify the need for managers to create a strong relationship with their
stakeholders to benefit from corporate strategies like M&As. Due to the introduction of
‘stakeholder thinking’, stakeholder management (SM) has risen in its popularity. It has
increased the attention on presenting and discussing methods, which may enhance the
organization of relationships with different stakeholders. This can also enable the firm’s
ability to respond to stakeholders’ expectations (Habisch et. al., 2011). These developments
have not only created new discussions about the influence of SM on the performance of
organizations, but also valuable insight to understand the impact stakeholders can have on
business objectives (Heikkurinen & Bonnedahl, 2013; Matos & Silvestre, 2013; Ranängen &
Zobel, 2014).
One elemental concept that embodies stakeholder-thinking in today’s economic world
is corporate social responsibility (CSR). CSR is defined as “the ways in which a company’s
operating practices (policies, processes, and procedures) affect its stakeholders and the natural
environment“ (Waddock & Bodwelll, 2004, p. 25). According to CSR, organizations are not
only responsible for their direct business activities, but also for protecting the interest of
society (Sechina et al., 2016). Therefore, organizations are obligated to “comply with
legislation and voluntarily take initiatives to improve the well-being of their employees and
their families as well as for the local community and society at large” (Ismail, 2009, p. 2).
Stout (2013) argues that stakeholder theory can create wealth for both society and
corporations in the long run. This may also explain the observations that positive CSR
activities can improve financial performance (Callan & Thomas, 2009; Mishra & Suar, 2010;
Waddock & Graves, 1997) as the CSR concept is derived from stakeholder theory. Also,
research shows that CSR creates a positive image (Liu et al., 2010) of the company and its
services or products while engaging with customers and employees (Hoeffler et al., 2010).
Accordingly, overall long-term risks for the corporation can be reduced (Fifka, 2013), as CSR
contains practices that enable companies to ensure that “customers want their products,
employees want to work for them, suppliers want them as partners, shareholders want to buy
their stock, and communities want their presence” (Hazan, 2020). Supporting these
arguments, Rhodes et al. (2014, p. 6) state that to create long-term success organizations must
develop “a stakeholder perspective, rather than purely a shareholder perspective“. Thus,
Rhodes et al. (2014) further present the importance of considering stakeholder relationships
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and highlight that corporate strategies, like M&As, can increase their influence on companies’
success when implemented sufficiently. Thereby, they indicate that an adequate way means a
responsible consideration of the company's impact on society.
Throughout the last decade, observations on companies' CSR activities register a
transition as many scholars in varying disciplines and powerful corporate executive officers
publicly advocate companies to take responsibility for all their stakeholders. Consequently,
the attention on the importance and effectiveness of creating a stakeholder relationship has
increased. However, critical discussion on CSR practices has emerged over time. According
to Porter and Kramer (2011), CSR policies mainly focus on the reputation and philanthropy of
companies rather than presenting the investments of businesses for the communities.
Therefore, it can be assumed that stakeholder-oriented policies, like CSR, are currently not
able to fully reach the goal to guide and monitor companies to pay as much tribute to society
and the environment as they do to their shareholders.
Especially, in the context of M&As, it can be observed that business practices
prioritize maximizing shareholder wealth above generating benefits for the stakeholders. This
can be seen in a recent study by Hazan (2020), in which corporate law regulations on
stakeholders in M&As have been studied and missing legal representation of stakeholder
interests in M&As have been identified. The paper discusses a corporation’s responsibility,
shareholder primacy in corporate law, and the newly risen voices urging corporate law to
protect stakeholders' interests in cases of M&As. Thereby, many powerful executives, like
Jeff Bezos of Amazon and Jamie Dimon of JPMorgan Chase express their view on
management's responsibility to „create value for all stakeholders, including customers,
employees, suppliers, communities, and shareholders'' (Hazan, 2020, p. 751). Throughout the
analysis, the author elaborates on the shareholder-stakeholder debate and identifies that past
M&As conflicts have legally protected the shareholder's interest above those of the
stakeholders. Therefore, the paper continues, to display the urgency of a change in the
corporate legal system to protect stakeholders’ interest as communities and other stakeholders
are essential to generate a successful societal and economical system. Hence, the paper
determines the need to implement stakeholders in business processes and decisions
concerning M&As and suggests that the legal system and firm management need to balance
the expectation of stakeholders through implementing regulations representing the need “to
make stakeholder theory viable in M&As'' (Hazan, 2020, p. 800).
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Mergers and Acquisitions and Local Communities Even when communities are included in the group of key stakeholders, like costumer,
employees, or suppliers, affected or affecting companies (Freeman, 1984), it can be seen that
the impact of strategies like M&As on the local community is rarely presented in the
literature. To provide a better understanding of the role of the community and the potentially
significant impact M&As may have on communities, the following will highlight the existing
literature on communities within different disciplines and help to identify the hypotheses of
this research.
There is a wide range of concepts trying to define a ‘community’. Accordingly, Hillary
(1995) presents a review of ninety-four variations and emphasizes that communities can be
differentiated in many ways as they represent various aspects depending on the person, the
time, and the location. In this study, communities are understood as individuals united in a
social group which are connected by living and socializing in the same physical location and
sharing similar standards, and creating organizations (Cnaan et al, 2007). Cnaan et al. (2007)
further state that “communities are affected, and in a sense defined by, forces that affect
community members and their spaces” (p. 2). These forces are displayed as external powers
coming from the government, corporation, or single individuals entering the physical location
and thereby changing and creating new dynamics within the community (Cnaan et al., 2007).
Thus, corporate strategies like M&As can be seen as an external factor creating changes,
which may influence the community’s well-being.
Given the obtained information on M&A's original goal to increase the operating
efficiency, M&As typically involve a rationalization of operations, which often results in
different implications, one of them being employee layoffs (Lehto & Böckerman, 2008;
O'Shaughnessy & Flanagan, 1998).
Several studies present evidence that employee-layoff are likely to occur after
acquisitions (e.g., (Lehto & Böckerman, 2008; Yaprak et al., 2018) and mergers, whereas
others present contradictory results (Budros, 1997, 2004; Wagar, 1997). However,
discrepancies in research findings could result from differences in methodology or samples
(e.g., cultural and legislative differences). Correspondingly, it is important to keep in mind
that multiple possible factors are leading to employee layoffs. Hence, O’Shaughnessy and
Flanagan (1998) found that when similar firms merge, forces are joined. This allows the
reduction of duplication and overlap within the workforce and thereby eliminates costs to
realize operational synergies. Moreover, the literature suggests that M&As financed with
debts are more likely to lead to employee layoffs to cut costs and cover the consequent debt
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payments (O’Shaughnessy & Flanagan, 1998). Beyond that, organizational restructuring after
an M&A involves a cultural change within the new firm. Consequently, some employees are
not suitable, or cannot adapt to the culture of the new company (Society for Human Resource
Management Foundation, 2010), leading to layoffs. Additionally, as previously noted,
managers, especially firms with poor performances, might also use downsizing to reduce
costs to protect their shareholder’s interest in wealth maximization (Morck et al., 1989). Thus,
in conclusion, there is sufficient reason to believe that employee layoffs may follow from
M&As.
Whilst downsizing, after an M&A, might create financial benefits for the firm’s
shareholders, other stakeholders like employees and the community can be affected
negatively.
As a local community is portrayed by individuals connected by living and socializing at the
same physical location and creating an organization (Cnaan et al., 2007) it can be supposed
that employees are included in the group of the local community. It seems logical, therefore,
to expect that due to the employee’s layoffs, unemployment will increase for the individuals
within the local community creating financial problems and thereby negatively impacting the
community’s well-being (Hazan, 2020).
Additionally, as obtained before, policies like CSR oblige companies to create value
for their stakeholders like communities. Research identifies that companies can play an
essential role in creating financial value for a community by implementing projects and
investing in the region (Alvarado et al., 2017; Iamsiraroj, 2016). These investments and
donations can enhance a positive impact on the well-being of communities. However,
corporate strategies like M&As lead to organizational changes, which may imply
organisational restructuring or changing management’s priority and thereby their commitment
towards CSR duties for the local community. This may not only cause employees to lose their
jobs but also missing investments, donations, or support of social projects creating a
significant negative impact on the local community (Hazan, 2020).
As previously shown, the corporation's predominant focus on shareholder wealth
maximization also takes part in influencing these operational decisions due to favoring
shareholder's interests rather than those of all stakeholders. According to Benites-Lazaro and
Mello-Théry’s (2018) research on local communities’ participation in clean development
mechanisms (CDM), many projects have an opposite impact on local communities than they
initially aimed. The study on 625 projects shows that the project representatives still focus
more strongly on the financial aspects of the project than focusing on stakeholders and their
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participation in these processes (Benites-Lazaro et al., 2018; Lazaro & Gremaud, 2017; ). The
study shows that processes to enhance the role of the local community is based mainly on
operational reason (Benites-Lazaro et al., 2018) supporting critics blaming companies for
causing social and environmental problems at the expense of local communities while
increasing their shareholders' wealth at the same time (Clark & North, 2006; Frynas, 2005;
Idemudia, 2009). This shows that the practical implication of stakeholder theory is still not
viable due to the company’s significant focus on shareholder wealth maximization. Therefore,
business practices fail to protect stakeholders, like local communities, and beyond that, to
create positive and beneficial well-being.
Given the previous evaluation of employee layoffs, disinvestments, and missing
engagement with stakeholders, the potential impact of corporate strategies like M&As can be
predicted as harmful and negative towards the community’s well-being. Considering this, the
first hypothesis presenting the basis of this research is:
H1: Merger and Acquisitions reduce local community’s well-being
Consequences of Changes in the Top Management There are also other possible factors that have an influence on the organizational
structure after an M&A. Due to a transition of the ownership structure, the new firms’
executives can decide to relocate the old management team to another location or replace
them with a new management team. Consequently, the new management team, entering from
the outside, can change the prevailing connection and previously described ‘agreements’
between the prior management and the community due to its different managerial approach.
Therefore, depending on the new managerial behavior negative or positive implications for
stakeholders, in particular, the local community can emerge.
As obtained before, shareholder wealth maximization is still an essential priority for
the management and therefore predominantly influencing strategic decisions. However, as
previously noted, societal demands have emerged challenging companies to adopt responsible
and ethical behavior within their organizations. Additionally, as aforementioned, communities
have the power to contribute by creating financial capital. Despite this, the community’s
contribution can also include implementing social projects, donating, and providing support
through voluntary work. These implications will not only create a positive image of the
company increasing their popularity for customers, but also have a significant positive impact
on the community’s well-being.
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Nevertheless, to gain this positive impact, scholars have identified that “managers
need to behave differently: they need to put the policies and good intentions into practice”
(Burnes, 2017, p. 495). Throughout the examination of the role of managers, Burnes (2017)
concludes that the management of an organization can profoundly influence both its company
and the society, among them the local community. Therefore, it can be noted that a
company’s management has not only the responsibility but more importantly the initial power
to implement business practices, which create an impact on the well-being of stakeholders
like communities. Hence, changes in the management team can lead to changes in the
managerial behavior, which can impact the community’s well-being significantly, particularly
following an M&A. Due to M&As initial goal to create growth and success for the companies
(Sherman, 2011) the new management may prefer business practices that enable eliminating
costs or additional workforces to maximize their shareholder's wealth. Thus, in conclusion, it
can be assumed that the new management will change the managerial commitments and adapt
different, less beneficial practices, that may be harmful to the local community.
Contributing to this, social identity theory (Ashforth & Mael, 1989; Kramer, 1991)
identifies that membership in a group, for example, in an organization or community
contributes to some part of the identity of every individual. Thereby, ‘organizational identity’
describes individuals association of distinctive aspects with the members in the group (Hogg
& Terry, 2000). This implies that it is common for individuals, including managers to create a
significant connection and relationship within a certain group. Correspondingly, the research
presents that individuals are more likely to protect their community when it is meaningful to
them (Brehm et al, 2013). Hence, this attachment becomes stronger with an individual’s
perception of their social identity, making them care about the community even more.
Therefore, it can be assumed that strategies like M&A impact these organizational identities
and their commitments towards the local community as new management may abandon the
past identity of the organization (Myeong-Gu & Hill, 2005). This can result in changes in the
managerial behaviors leading to neglecting prior social projects, voluntary engagement, and
financial investments. Consequently, the community’s well-being will be negatively affected.
In addition to neglecting past priorities and commitments, the new management can imply
different priorities and adapt new ways to manage the organization. For example, concerning
increasing operational efficiency, management can decide to use outsourcing, which will
eliminate in-house positions. While the management can register benefits from cutting costs,
the members of the local communities will be negatively affected by the resulting layoffs and
financial distress.
15
Thus, in conclusion, a change from old to new management strategies can have a
significant impact on the local community. This can be assumed as prior managers have
developed an organizational identity and thereby evolved a certain commitment and
responsibility towards the local community. In comparison, the new management has newly
entered the ‘membership’ and therefore, does not feel any, or just little, obligations towards
the group of individuals creating the local community. Also, due to different interests,
particularly following an M&A, the company’s management is more likely to introduce
business practices, which will impact the community’s well-being rather negatively.
Consequently, this study proposes, as obtained in the literature, that with a transition
of the management team the connection towards the community will decrease, which
proposes the following hypothesis:
H2: A change of the management team resulting from a Merger and Acquisition will
increase the negative impact on the local community’s well being
Methodology
Research Design The hypotheses were tested with a quantitative research design using a panel data set.
The study purpose is to extend the M&A literature by researching the possible impact of
M&As on the well-being of the local community. Additionally, the research aims to gain
information on a possible effect of additional changes, in particular a change within the
management team, on the community’s well-being. Thereby, community well-being is
measured mainly in three ways: 1) the value of financial donations, as well as voluntary work,
and product donations made by a company 2) the change of the number of employees and 3)
the firms’ involvement in CSR policies and, correspondingly, the rating of their performance.
This set of dependent variables allows to generate a broader perspective on possible
influential effects following an M&A and may support to ensure an informative analysis.
To accomplish an objectively accurate analysis, this study carefully designed a valid
sample under controlled conditions using propensity score matching to enable a more reliable
research. Following this process, the hypotheses were tested by a linear regression analysis.
Therefore, companies involved in an M&A have been compared with matching companies
that do not involve in an M&A in terms of the dependent variables. All data for the variable at
interest have been obtained from various databases, namely, Zephyr, Orbis, and Thomson
Reuter Eikon (Eikon).
16
The following segment will present the specific sampling process of this study.
Additionally, data generation and measurement will be discussed. Lastly, the statistical
analysis of the study will be introduced.
Sample and Data The analysis started with an initial sample of around 25.000 companies located in the
US and Europe. While this would have provided a valuable starting point due to its large
sample size, it should be noted that differences in terms of company characteristics were not
considered. Therefore, we performed a sample selecting procedure to ensure that the
researched sample consists of a comparable set of firms providing a reliable basis for this
analysis. First, data concerning CSR behaviors were obtained for a period of 10 years from
the Eikon database. Eikon’s database provides a broad range of accessible data on various
fields of research. There, crucial for this study, a selection of social variables in form of
ratings, scores or financial values can be obtained from this database. Additionally,
information on specific community variables can be generated for every individual firm. For
instance, firm’s involvement in CSR-related policies and activities, their contributions to
society through donation or investments, and other aspects in terms of the workforce can be
observed in relation to a community.
After the obtained data on firms’ CSR scores was added to the initial sample, a
majority of companies were eliminated due to missing data. Consequently, adjustments were
made which resulted in a smaller sample of approximately 800 firms. Following the process,
data on M&A activities was obtained from Zephyr’s database. Zephyr is a crucial database for
information on past and current M&A deals. Thereby, data on deal types, dates, status or
values of deal are presented. Currently, Zephyr provides data from 2011-2019.
The new additional information on M&A activities were added to the latest sample,
which consequently, constructed a new sample of approximately 240 firms. This sample
contained both firms which completed an M&A and firms which have not been involved in an
M&A or have withdrawn from a deal. Adding to this sample, data identifying the
characteristics of the companies were obtained from the Orbis database and operationalized
by their size (Number of Employees), performance (Return of Equity- ROE), profit (Total
Asset) and CSR behavior. Orbis and Zephyr belong to the same database, therefore Orbis adds
a broader set of information on firm characteristics.
Lastly, by using the propensity score matching, a final sample was created in
consideration of the previously obtained data on the firm’s characteristics and their
17
involvement in M&As. As a result, matches between ‘M&A-firms’ and ‘non-M&A firms’, in
this study named panel A and panel B, were generated. Thus, in total, 80 US-firms have been
considered as the final sample for analysis. Thereby, 40 firms have been involved in an M&A
process, whereas 40 firms have not. Additionally, the sample was adjusted in terms of the
geographical location of the industry. Thereby, the study set a focus on US-firms in order to
eliminate disturbing factors created due to cultural differences. Moreover, it is important to
mention that the final sample includes firms of different industry sectors. This can be
explained by two reasons: 1) When implementing the firms industry sector as a control
variable, the final sample of this study would have been too small and therefore not suitable
for the purpose of this study 2) this research aims to identify possible influential effects of
M&As in different industries to gain a better perspective of this strategies impact.
For the empirical analysis, the sample period from 2010-2019 was selected as the
majority of M&A deals took place between 2010 and 2015. The data on the community well-
being was also obtained from the Eikon database.
Measures
As shown in the previous segment, the final sample included both firms that were
involved (panel A) and firms that were not involved in M&As (panel B). Thus, due to the
matching sample procedure, firms in panel A and B have been matched, and thereby a firm in
panel A has been assigned to a similar firm in panel B. This ensured the study to implement
the appropriate data of the firm specific sample period relating to the deal date.
As aforementioned, the date of the M&A deal was obtained through the Orbis
database, which allowed the study to acquire the corresponding data for the dependent
variables, moderator variable and confounding variables three years after the operation took
place. Additionally, this data of the variable (3 years after the M&A) was adjusted by taking
the mean for each firm and each variable. As the exact matches between the ‘M&A-firms’
(panel A) and the ‘non-M&A firms’ (panel B) were generated, the study was able to run
through the same data collection and measurement procedure for both panels. By presenting
the data three years after the M&A through the mean, potential disturbing elements, such as
missing data were able to be migrated ensuring a valid testing of the hypotheses.
To deepen the understanding, the following section presents detailed information on
the individual dependent variables in their assigned groups.
18
Community well-being variables – dependent variable. As explained in the research
design, multiple dependent variables were used to measure the impact of M&As on the local
community and its well-being. As aforementioned in the literature segment, various studies
suggest that community well-being is influenced by different aspects. This illustrates that it is
crucial to generate multiple different observations in order to gain a more reliable view on the
possible influence of M&As on the local community’s well-being. This study, therefore,
measures community well-being through a diverse set of variables, which can be assigned to
three different groups. All relevant data for the measurements of the community well-being
variable of this analysis have been obtained from the Eikon database.
The first group contains the variables Donation total and Total donation in revenue.
Both variables represent the amount of donations contributed by the firm. However, there is a
difference as Total donation to revenue describes the amount of all donations in relation to the
revenue in million, whereas Donation total measures the overall donations made by a
company. This includes in addition to the financial contribution also donations made by its
foundations or trusts such as product donations, sponsoring or employee volunteer time costs.
The second group includes the variables Delta Employee and Announce Layoffs to
Total Employees Score. Delta Employee measures the change in the number of employees for
each firm. Thereby, as aforementioned, data from three years after the M&A took place was
obtained both for panel A and B. The number of employees in the third year after the M&A
was deducted from the first year after the M&A, presenting the change in the number after
three years. Additionally, the obtained data of the variable Announce Layoffs to Total
Employees Score has been generated from the Eikon Database. It measured the total number
of announced companies lay-offs divided by the total number of employees.
These dependent variables present the impact of M&As on the local community by
analyzing the change in the workforce of firms involved in M&As compared to firms that
have not gone through the same operation as it is an essential outcome suggested in various
research papers (e.g., Lehto & Böckerman, 2008; Yaprak et al., 2018; Wagar, 1997).
Lastly, the third group includes multiple CSR- and Community Scores highlighting
firms’ ratings on their performances and business activities. As suggested by multiple
researchers, companies’ involvement in CSR-related activities will have an impact on the
stakeholders like the local community. Therefore, this analysis uses CSR-related variables to
display companies’ involvement, commitment and actual performance towards certain
policies, which are intended to create and monitor responsible corporate behavior. Here,
19
Social Pillar Score, Community Sore, Corporate Responsibility Award Score, Policy
Community Involvement Score were selected as representatives and are measured in
percentages ranging between 0 and 100. Further details on the measurement can be found in
Appendix A, the Social Pillar Score measures management practices considering firms
capacity to generate loyalty and trust with its employees, customers, and society. The variable
thereby reflects a company's reputation. The Community Score measures the firm's
commitment in respecting business ethics by protecting public health and acting according to
suggestions of CSR policies. Moreover, the Corporate Responsibility Award Score
determines whether companies’ performance has a positive impact in order to receive an
award for its social, ethical, community, and environmental activities. The Policy Community
Involvement Score describes companies’ involvement in policies that support a positive
corporate citizenship. Thereby, involvement in the community is represented and measured by
donations, volunteering, community investments and additionally a firm’s involvement in
CSR programs supporting education, health, and the environment of the community.
Merger and Acquisition- independent variable. The aim of this study is to research
the impact of M&As on the community’s well-being. Therefore, data was obtained reporting
on companies’ involvement with M&As. Thus, the dummy variable M&A identifies whether
a particular firm was involved or not involved in an M&A. Accordingly, the variable takes on
a value of 1 (panel A) when the company was involved with an M&A and 0 (panel B) if not.
When gathering data, the study has predominantly focused on firms with deals between 2010-
2015, as both Zephyr and Orbis databases provide data exclusively of this time period.
Additionally, the study included mainly Merger and Acquisitions as representative deal types
of M&As. For instance, joint ventures have not been considered and eliminated from the
sample. While this study does intend to differentiate between Mergers and Acquisition, it is
important to keep in mind that firms involved in acquisitions are predominantly represented in
this analysis due to its more common occurrence in the used databases.
Change in management - moderator variable. In order to test the second hypothesis,
the study obtained the variable Management Departure from the Eikon Database in the
sample period of 2010-2019. Thereby, Management Departure presents whether a key
member from the management team has announced a voluntary departure (other than
retirement) or has been ousted. Thereby, firms that have experienced a change in the
management team have been coded with 1 (panel C) and firms in which no change in
20
management took place were coded with 0 (panel D). While this study does not intend to
include the reason for a departure in the analysis, yet it is essential to keep this in mind when
observing the results.
Firms’ confounding variables. The study has previously determined confounding
variables to construct a matching sample and additionally, ensure the internal validity for the
analysis. Thereby, variables such as the Total Asset, ROE and the Number of Employees have
been obtained from the Zephyr and Orbis databases. Total Asset determines a firm’s total
amount of economic value owned by the company. ROE measures the financial performance
of a firm by calculating net income in relation to shareholders’ equity. Number of Employees
report, as its name states, the number of employees in a firm operationalizing the workforce of
a company. The variables were measured by taking their mean for every individual company.
As previously elaborated, the mean of the variables was used in the analysis.
Statistical Analysis
In order to create a balanced sample of companies with and without M&As, propensity
score matching was used. Propensity score matching is a statistical matching procedure used
to construct a sample by matching, in this case, a firm with an M&A (M&A=1) with firms
without an M&A (M&A=0) due to similar obtained characteristics. This way, bias can be
reduced. The sample matching was based on the following variables: Total Assets, ROE and
the Number of Employees, which are described above. Thereby, the mean of these variables
was determined and used. As a result, the matching procedure yields a final dataset containing
80 matched companies.
To test the hypotheses, multiple linear regressions were performed on the matched
sample. The following outcome variables were set: Donation Total, Total Donation in
Revenue, Announce Layoffs to Total Employees Score, Delta Employee, Policy Community
Involvement Score, Corporate Responsibility Award Score, Social Pillar Score and
Community Score.
The models were mutually adjusted for the proposed confounders (Total Asset, ROE and
Number of Employees). All analyses were performed using Stata 16 (Stata Corporation,
College Station, Texas) and considered associations as statistically significant at an alpha
level of < 0.1 due to their relatively small sample.
21
Results
Descriptive Statistics A summary statistic for the variables used in our analysis in panel A and B are
presented in Table 1. The regression result presenting the findings for the first and second
hypothesis-testing are displayed in Table 2 and Table 3. All 8 models have been tested with
the same structure, including the independent variable (M&A dummy) and the confounding
variables (Total Asset, ROE and Number or Employees). When looking at Table 1, only
limited interesting differences between the variables in panel A and B can be observed.
Thereby, Corporate Responsibility Award Score (Model 6) is measured with a mean of 39.59
in panel B, representing the companies without an M&A. In contrast, the same variable is
considered 20 points higher in panel A. At the same time the statistical summary shows quite
similar means in models 5, 7, and 8, representing additional CSR-related variables. Also,
model 4 highlights a difference between the panels. It appears that firms involved in M&As
have increased the number of employees during the sample period of three years after the
operation took place, whereas the companies without an M&A show a decrease in the number
of employees in the same period of time. Thus, even when it has to be noted that no
significant difference can be seen in relation to the magnitude of the difference, but this might
present a conflicting change between the two panels. Moreover, panel B counts a three times
larger mean in model 1 compared to panel A, showing a significant difference concerning
firms financial and additional donation. Thus, in conclusion, the statistical summary of the
means and statistical deviation of this studies’ panel sets A and B appear to be similar
showing no major significant differences.
22
Table 1
Summary statistics (Panel A (M&A=1): n=40 & Panel B (M&A=0): n=40).
Model Variables Mean Std. Dev. Min Max 1 Donation Total 2.11e+07 5,44e+07 0 2.70e+08 2 Total Donation in Revenue 763.5225 1332.59 0 6476.75 3 Announce Layoffs to Total Employees Score 0.45 1.14. 0 5.74 4 Delta Employee 2146.6 7161.38 -11000 25200 5 Policy Community Involvement Score 55.87 15.23 0 73.75 6 Corporate Responsibility Award Score 59.04 38.18 0 88.53 7 Social Pillar Score 54.60 18.63 0 91.57 8 Community Score 73.05 22.63 0 99.71 9 Number of Employee 36802 46748.54 36 241130 10 Total asset 7.52e+07 1.73e+08 469457 8.37e+08 11 ROE (%) 19.35 14.05. -6.647 58.947 Panel A: M&A=1
Model Variables Mean Std. Dev. Min Max 1 Donation Total 8.61e+07 4.75e+08 0 3.01e+099 2 Total Donation in Revenue 3852.50 15834.34 0 99356.25 3 Announce Layoffs to Total Employees Score 1.24 2.66. 0 12.33 4 Delta Employee -896.55 6842.60 -37000 9500 5 Policy Community Involvement Score 55.30 16.55 0 72.61 6 Corporate Responsibility Award Score 39.59 457.12 0 79.21 7 Social Pillar Score 53.75 18.56 12.39 85.37 8 Community Score 75.62 17.00 29.80 99.39 9 Number of Employee 27806 29730.08 408.44 127177.2 10 Total asset 4.46e+07 1.29e+08 1774433 8.18e+08 11 ROE (%) 26.71 43.56 -4.28 267.67 Panel B: M&A=0
23
Table 2
Regression results of models 1-8 for Panel A (M&A=1) and Panel B (M&A=0); Testing Hypothesis 1.
Model 1 Model 2 Model 3 Model 4 Model 5 Model 6 Model 7 Model 8
VARIABLES Donation Total
Total Donation in Revenue
Announce Layoffs To Total Employees Score
Delta Employee
Social Pillar Score
Community Score
Corporate Responsibility Award Score
Policy Community Involvement Score
M&A (IV) -8.452e+07 -3545 -.802* 2804* -1.174 -4.015 -5.402 .475
(8.829e+07) (2938) (.476) (1,478) (3.995) (4.307) (8.484) (3.628)
ROE (%) -791,915 -25.37 -.00264 -10.89 -.0450 .0762** .129 .0574
(956,082) (30.63) (.00483) (20.97) (.0488) (.0354) (.0825) (.0413)
Total asset -.0738 -4.93e-06 -3.85e-10 -9.41e-06* 2.53e-08*** 3.05e-08*** 3.86e-08*** 5.31e-09*
(.168) (5.56e-06) (4.38e-10) (4.79e-06) (7.05e-09) (5.58e-09) (9.25e-09) (3.13e-09) Number of Employee 1789 .0470 1.15e-06 .0501** .000103* .000119** .000242** 3.96e-05
(1429) (.0481) (3.81e-06) (.0198) (5.26e-05) (5.82e-05) (9.82e-05) (3.63e-05)
Constant 5.942e+07 3405 1.292** -1,617* 50.89*** 68.82*** 42.19*** 52.40***
(6.736e+07) (2256) (.553) (923.0) (3.936) (3.661) (7.681) (4.009)
Observations 80 80 80 80 80 80 80 80
R-squared .055 .048 .039 .126 .133 .161 .120 .029
Robust standard errors in parentheses *** p<0.01, ** p<0.05, * p<0.1
24
Table 3 Regression results of model 1-8 for Panel C (Change in management=1); Testing Hypothesis 2.
*(This table continuous on the next page)
Model 1 Model 2 Model 3 Model 4 Model 5 Model 6 Model 7 Model 8
VARIABLES Donation Total
Total Donation in Revenue
Announce Layoffs To Total Employees Score Delta Employee
Social Pillar Score
Community Score
Corporate Responsibility Award Score
Policy Community Involvement Score
M&A (IV) -7062776 -117.5 -.69 5169.87 1.72 -1.92 -41.51** -.19
(8753140) (542.82) (.92) (4445.40) (8.74) (7.96) (8.484) (4.10)
ROE (%) 286297.2 21.03 .01 215.31 .23 .176 .129 -.00
(383143.5) (25.14) (.03) (108.46) (.19) (.53) (.0825) (.10)*
Total asset 1.12 3.00e-0. 3.11e-11. 8.21e-06 3.07e-08 2.97e-08 3.86e-08*** 4.50e-09
(.01) (5.64e-07) (1.46e-09) (6.79e-06) (1.01e-08) (.03)** (9.25e-09) (4.93e-09) Number of Employee -206.49 -.01 7.25e-06 .04 -.00 -.00 .000242** -.00
(106.4) (.01)*** (.00)*** (.06)* (.00)*** (.55) (9.82e-05) (.00)***
Constant 7710160 347.38 .72 -9538.27 50.18 74.87 42.19*** 61.50
(7944576) (422.14) (.80) (5466.97) (11.35) (.00) (7.681) (5.41)
Observations 16 16 16 16 16 16 16 16
R-squared .69 .27 .12 .37 .18 .17 .37 .09
Robust standard errors in parentheses *** p<0.01, ** p<0.05, * p<0.1
25
Table 3 Regression results of model 1-8 for Panel D (Change in management=0). Testing Hypothesis 2.
Model 1 Model 2 Model 3 Model 4 Model 5 Model 6 Model 7 Model 8
VARIABLES Donation Total
Total Donation in Revenue
Announce Layoffs To Total Employees Score
Delta Employee
Social Pillar Score
Community Score
Corporate Responsibility Award Score
Policy Community Involvement Score
M&A (IV) -1.15e+08 -4580.25 -.70 3459.18 -1.19 -3.62 4.86 1.79
(1.17e+08) (3905.41 (.57) (1735.80) (4.56) (4.94) (10.44) (4.31)
ROE (%) -708295.2 -23.56 -.00 -23.24 -.07 .06 .12 .05
(860520.5) (27.95) (.00)*** (26.15) (.03)** (.03)** (.08)* (.04)**
Total asset -.08 -5.61e-06 -5.82e-10 -.00 2.63e-08 3.20e-08 3.62e-08 2.19e-09
(.18) (5.94e-06) (5.94e-10) (4.38e-06) (1.15e-08) (7.67e-09) (1.44e-08) (4.69e-09) Number of Employee
2444.60 .07 -1.30e-06 .05 -.00 .00 .00 .00
(2001.17) (.07)* (2.72e-06) (.02)** (.00)*** (.00)*** (.00)*** (.00)***
Constant 6.44e+07 3747.65 1.34 -1269.26 50.95 68.82 38.26 51.94
(7.66e+07) (2584.68) (.64) (915.37) (4.29) (4.08) (8.30) (4.47)
Observations 62 62 62 62 62 62 62 62
R-squared .07 .06 .03 .17 .16 .18 .12 .03
Robust standard errors in parentheses *** p<0.01, ** p<0.05, * p<0.1
23
Hypotheses Testing
Table 2 and 3 report the results from the multiple-regression analysis of panel A and
B. Thereby, the different models have all been tested independently in relation to their
involvement in M&As. Model 1-8 represents the results for the dependent variables, and
ROE, Total Asset and Number of Employee represent the confounding variables. A few significant results can be found in relation to the confounding
variables. In particular, model 5, 6 and 7 show a significant result for the variable Total
Asset. Further examination presents the following result for testing the Hypotheses: Hypothesis 1. The results present no support for H1, which anticipates that there is no
significant empirical evidence identifying that M&As may create a negative impact for the
well-being of a local community.
While the overall result does not show a strong enough significance to support the hypothesis
1, model 4 shows a slight significance when tested at the 10% level. Here, companies
involved with an M&A count an increase in their employees in the three years after the
operation took place (ß = 2803, p = .062). Beyond that, no significance can be observed.
Hypothesis 2. The results present no support for H2, which predicted that it is likely
that a change in the management team, following an M&A may affect the local community’s
well-being in a negative way. While, similar to the first hypothesis, the overall results do not
show a significant outcome in order to support the hypothesis 2, however, model 7 reports a
slight significance when a change in the management team took place (ß = -41.51, p = .04).
Hence, a change in the management team following a M&A may have a possible negative
influence on the CSR performance of a firm involved in an M&A.
Discussion
This study finds that stakeholders like local communities are not considered strongly
enough in terms of the firm's strategic business practices (Benites-Lazaro & Mello-Théry,
2018). This is predominantly explained by companies’ prioritization of shareholder wealth
maximization (Griffin, 2018). However, as previously outlined, various scholars have
highlighted the importance of stakeholder thinking and the benefits of creating a positive
relationship with all stakeholders, in particular, the local community (Parmar et al., 2010;
Porter & Kramer, 2011, Rahdari, 2016). Therefore, drawing on stakeholder thinking
(Freeman, 1984) this study has identified two predictions.
27
First, this research studied that M&As are likely to negatively impact the well-being of
local communities. In line with this hypothesis, various scholars argue that M&As may affect
local communities as, for instance, downsizing effects are likely to occur in cases of
acquisitions (e.g., Lehto & Böckerman, 2008; Yaprak et al., 2018), which will result in an
increase of the unemployment and consequently, create financial problems for the individuals
in a local community. Second, this thesis intended to research the moderation effect of a
change in the management team following an M&A. Accordingly, this study hypothesized
that a change in the management is likely to negatively impact the well-being of the local
community.
To ensure a reliable analysis, the study first used the propensity score matching to control for
firm-specific differences by creating a matching sample. Afterwards, the hypotheses were
tested using multiple regression analyses which allowed to study the impact of M&As on
various dependent variables operationalizing the community well-being. These variables
represented data on firm’s donation behavior, the change of the workforce, and the
involvement and commitment towards CSR-related policies. Proceeding in this way, the result
did not meet the expectations of this study as no significant differences between panel A and
B were found. Hence, the results did not support the hypotheses, implying that no empirical
evidence of a possible association between M&As and the local community can be generated.
However, even when the entirety of the results does not support the hypotheses, the analysis
identifies a few interesting differences between panel A and B which, measured at a 10%
level, show a marginal significance (p = .06; p = .04) worth addressing in this section in
contribution to the implications.
Thus, the results in table 2 present a marginal significance in model 4 (Delta
Employee) and, therefore support previous findings presenting a possible relationship between
M&As and the workforce of a company (e.g., Budros 1997, 2004; Wagar, 1997; Morck et al.,
1989). However, the measurements in this study contradict with the arguments claiming that
changes in employee numbers indicate employee-layoffs following acquisitions (Lehto &
Böckerman, 2008; Yaprak et al., 2018). This contradictory result can be seen as panel A
shows an increase rather (ß = 2803) than a decrease in the number of the employees compared
to panel B. Hence, the result of this analysis demonstrates that companies involved with
M&As may record increasing number of employees, when measured after a period of three
years, compared to firms not involved in the same operation. The results of this analysis may
support Cooper et al. (2012) findings, proposing that companies involved in the process of
manufacturing are not likely to be affected by downsizing. This may be a possible explanation
28
for this result, as the majority of the represented firms in this study’s sample tend to be
involved with production and manufacturing.
Additionally, the results of the moderation effect present also a small significance (p =
.04) due to different measures between panel A and B in model 7 (Corporate Responsibility
Award Score). Although the entirety of the dependent variables shows no significant results,
supporting the second hypothesis of this study, the marginal significance found in model 7
can be interpreted as an indication of a possible relationship between a firm's CSR
performance and its managerial behavior. The results show that companies involved in M&As
report a comparatively negative change (ß= -41.51) when members of the old management
team are replaced with new members. This result helps to support the argument of various
scholars (Hogg & Terry, 2000, Brehm et al, 2013, Myeong-Gu & Hill, 2005), claiming that
new members may not show the same commitment through their managerial decisions and
behavior as they feel not connected to the local community.
Finally, the study found an interesting significant result concerning the confounder
variable Total Asset in relation to multiple dependent variables, particularly to model 5, 6 and
7. This finding might demonstrate an association between firms’ involvement in CSR-related
policies and their value of total assets. As a discussion of this finding would be out of scope
for this thesis, this provides an interesting incentive for future research.
Conclusions & Implications
As the majority of the results do not report a significant effect, the study consequently
determines that none of the proposed hypotheses can be supported in this analysis. However,
independent from the reported measurements, a contribution to the theoretical literature is
made as this study conducted and contributes valuable new insights to the M&A literature. As
aforementioned, a review of the literature has identified a wide gap in the M&A literature on
social aspects which consequently limits to gain an exemplary model for potential future
studies on M&As and its potential influential effect. Therefore, this study implements a
foundation to build on in future study and encourages researchers to continuously study
corporate strategies like M&As and their impact on different stakeholders. Further details for
future research will be presented in the next segment. Adding to that, it can be observed that
the majority of literature fails to discuss the role of local communities in M&As in a more
detailed sense. Hence, this study further opens the discussions on the crucial role of local
communities as representees of the overall society in this economic world. For instance, when
reviewing Griffin’s (2018) research it can be seen that during the study a predominant focus is
29
set on employees and customers rather than local communities. This is not a rare finding
identifying the need for theoretical contribution, particularly on the local communities. Thus,
in conclusion this study is implicated as an addition to social M&A literature on an essential
social group – local communities.
Moreover, the interesting differences found in the results, may still implicate a
possible relationship between M&As and well-being of local communities. In reference to the
discussions in the previous segment, it can be argued that even when the study presents
marginal significant results for only a few individual variables, it can be assumed that results
on employment changes may represent a possible influence of M&As on local communities.
Thereby, it can be noted that even when the results of his study are not in line with findings
displaying a downsizing effect (Morck et al., 1989; Yaprak et al. ,2018; O'Shaughnessy &
Flanagan, 1998), they can be seen supportive of other studies suggesting that M&As do not
necessarily create downsizing (Budros, 1997, 2004; Wagar, 1997), and therefore harmful
effects for the community. In terms of the managerial implications, this study recommends
managers to consider the form of their strategic M&A decisions as it can be seen that different
approaches in mergers or acquisitions, for instance vertical merge or hostile acquisition, are
found to have resulted in contradictory effects (Cooper et al., 2012).
Additionally, reflecting on the difference shown in model 7, when a moderation effect
is also implied in the testing, it can be stated that even the marginal significance of this result
may indicate a possible association between the managerial behavior and companies’
commitment and involvement in CSR policies. Thus, this study may open new debates
specifically on the possible connection of specific CSR policies and managerial performance.
However, as model 7 only shows a managerial significant result as a reaction to the change, it
can be suggested that not all CSR policies have the same effect and therefore, the theoretical
implication of the possible findings suggests the need for a deeper understanding and analysis
of CSR policies. Nevertheless, beyond that managerial implications might recommend
corporations to not only comply to these policies for reputation purposes, but to gain
understanding on their difference to imply CSR policies that fit to the context of the company
in order to create real benefits for society (Porter & Kramer, 2011).
Also, the results of the analysis are a contribution to both the stakeholder theory and
the social identity theory as the findings present possible relationships creating new and
supporting presented assumptions of these theories. For instance, the testing of the hypothesis
1 shows an association between a change of employees, representing the well-being of a local
community, and M&A activities. This supports the stakeholder paradigm within the
30
shareholder-stakeholder debate by presenting how stakeholders like the local community are
affected by an organizational decision. Thereby the need to create adequate relationships
between stakeholders and company can been demonstrated. On the same time, the results of
this thesis contribute a critical review on the stakeholder theory, especially in its practical
implication in form of CSR activities. As CSR policies aim to implicate stakeholder thinking
in corporate activities, the thesis presents flaws in the stakeholder theory. This can be seen
when testing hypothesis 2. As aforementioned, the results show a significance and a decrease
of the CSR performance for only one CSR variable following a change in the management
after an M&A, whereas the others showed no interesting change. The differences may create
the assumption of the impact of managerial behaviors on the CSR performance, but beyond
that CSR policies may be argued to be not representing stakeholder thinking in an adequate
way, which is in line with critics of Porter and Kramer (2011). Therefore, discussion on the
practical part of stakeholder theory may emerge following this thesis to investigate the real
value of CSR policies for stakeholders like the local community.
Additionally, the results may present a connection between the managerial behavior and the
identity an individual creates in an organization. This supports the potential influential impact
of social identity theory on strategies like M&As and presents its important role in corporate
decisions. Therefore, besides identifying a possible connection between managerial behaviors
and the social identity theory for theoretical analysis of strategies, these findings practical
contribution states that when an M&A is implemented in a firm it is important to adequately
analyze the intention of the management to create a beneficial change for the society and the
firm. As the theoretical review presented, the firm’s CSR behaviors plays an important role in
today’s economic market affecting costumer’s willingness to buy products or employees
desire to enter the company. Therefore, it is important for executives to acknowledge
theoretical contributions by, for example the social identity theory and to influence the
managerial behaviors in order to create overall benefits.
Thus, in conclusion, it can be stated that even when no significant empirical results can be
contributed, the study created valuable impact for future discussions and keeps the debate on-
going.
Limitations & Future Research
To enable researchers to continue the study on the impact of M&As on local
communities and contribute additional findings, it is crucial to critically reflect this study.
Therefore, in this segment the study aims to transparently review the outcome and suggest
31
recommendations for future research to generate valuable outcomes.
Several limitations of this study mainly due to methodology and sampling have to be
pointed out. As this study included a small number of firms in its analysis, it can be assumed
that the research was not able to reach its full potential. Therefore, it is recommended to
create a larger sample of investigated firms to increase the ability in generating a significant
result. Also, the study has set a predominant focus on firms in the US. This may help to
reduce bias as cultural differences are eliminated, at the same time a limited perspective is
given. Therefore, it can be assumed that the same study may show different outcomes when
conducted for firms in other countries. Thus, future research may create a more international
sample to provide future insight on possible effects in an international context. Additionally,
the sampling the period of time was limited on 3 years after the operation took place. In order
to see the developments on a long it can be recommended for future research to set a sampling
period for a longer period of time. Moreover, this study has shown that future research should
implement a broad set of control variables to create a more suitable basis in finding relations
contributing to the research. Especially, when implementing CSR scores this study
recommends applying control variables to generate a reliable result on the CSR performance.
Another important limitation seen in this and other research is the availability of
variables that operationalize the well-being of a community. Even though this study selected a
broad set of dependent variables to enable a more reliable view on possible influences it can
be determined that existing and accessible data on specific community variables are limited,
creating a predetermined selection. While it appears that Eikon has provided classified
variables, specifically for the community enabling future research in this field, however, the
reliability of existing variables needs to be discussed. According to Porter and Kramer (2011),
CSR scores do not portray the accurate value and performance of companies towards the
community. They justify their claims by stating that CSR policies predominantly focus on
philanthropy. They suggest that CSV (Created shared value) is a more appropriate way to
record firm’s behavior and performance as the connection between society and economic
progress is quantified. Studies by Rhodes et al. (2014) and Bertini et al. (2012) support these
findings and state that shared values focus on expanding available resources, which will then
be beneficial for the firm and also the community. These findings demonstrate that existing
CSR scores need to be critically reviewed when implemented in future research in order to
generate a truthful perspective on the performance ratings of companies towards local
communities.
32
In conclusion, the study investigated the possible impact of M&As on local
communities and conducted a quantitative analysis to contribute new theoretical and practical
implication to the current field or research. While new insights on possible associations
between M&As and the local community were presented, at the same time no significant
empirical evidence, in support of the predictions, was generated. Correspondingly, the study
presented possible explanations on why the results did not meet the expectations and thereby
contributed new insights to the current debate and, beyond that, created new discussions and
recommendations encouraging further research.
33
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Appendix A
Explanation on score measurement part 1 (Model 5-8)
Environmental, Social and Governance (ESG) Scores from Refinitiv (Thomson Eikon
Database) - April 2020
Explanation of Score:
The scores reported by the firm and have been verified before making them accessible for the
public. They are measurements of the performance of a firm in regard to their Environmental,
Social and Governance behaviors.
The measures are also considered in their comparability, impact, availability of data and
relevance within their industry, which varies depended on their industry group.
The ESG performance in reformulated in 10 categories to reflect on the firms ESG
performance, commitment and effectiveness. All information is publicly reported information.
Score Range / Grade and Description of Variables- Source Refinitiv
Score Range Grade Description (original wording)
0.0 < = score < = 0,083333 D- “D score indicates poor relative ESG
performance and insufficient degree of
transparency in reporting material ESG
data publicly.”
0,083333 < score < = 0,166666 D
0,166666 < score < = 0,250000 D+
0,250000 < score < = 0,333333 C- “C score indicates satisfactory relative
ESG performance and moderate degree
of transparency in reporting material
ESG data publicly.”
0,333333 < score < = 0,416666 C
0,416666 < score < = 0,500000 C+
0,500000 < score < = 0,583333 B- “B score indicates good relative ESG
performance and above average degree
of transparency in reporting material
ESG data publicly.”
0,583333 < score < = 0,666666 B
0,666666 < score < = 0,750000 B+
0,750000 < score < = 0,833333 A- “A score indicated excellent relative
ESG performance and high degree of
transparency in reporting material ESG
data publicly.”
0,833333 < score < = 0,916666 A
0,916666 < score < = 1 A+