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The effect of CSR engagement on eWOM on social media
Article in International Journal of Organizational Analysis · September 2021
DOI: 10.1108/IJOA-10-2019-1895
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In this context, effective communication is essential as it can enhance consumers’
evaluation of a company by improving their identification with it (consumer–company
[C-C] identification) (Bhattacharya et al., 2009), which in turn may eventually influence
positive word-of-mouth (WOM) (Vo et al., 2017). These findings highlight the importance
of effective communication about CSR towards stakeholders, including consumers
(Xie et al., 2015). For instance, the emergence of social media platforms (e.g. Facebook,
Twitter, Instagram, etc.) offers companies new opportunities to connect with consumers
(Harrigan et al., 2017) and is a strong tool to communicate the company’s activities to
them (De Keyzer et al., 2019; Aladwani, 2014). It has been argued that interactive media
usage may enhance the effectiveness of communication about CSR because users can
easily spread the information to others (Du and Vieira, 2012). Therefore, social
networking sites (SNSs) have become an effective platform for companies to share their
CSR engagement (Colleoni, 2013). Moreover, companies with higher CSR ratings tend to
build a larger online presence (e.g. number of followers) compared to those with lower
ratings on CSR (Lee et al., 2013). Among the SNSs, Facebook is the most frequently used
site for corporate communication (Tao and Wilson, 2015).
Nevertheless, when exploring the previous literature relating CSR engagement and social
media, it is clear that little is known about how SNSs have empirically changed the effect of
companies’ communications about CSR engagement on consumer attitudes and behaviours.
For instance, it is well-known that consumers are looking for electronic word-of-mouth
(eWOM) to make any purchase decision (Chu and Kim, 2011) and previous studies have
revealed that eWOM is more effective than offline WOM (Chu and Kim, 2011; Phelps et al.,
2004). However, researchers still have a limited understanding of how eWOM affects
dialogic conversation in the context of CSR. It is also vital to note that CSR communication
on online platforms is not without risk (Vo et al., 2017). It faces many challenges like how to
trade-off between two distinct goals:
(1) maximising consumers’ awareness of companies’ CSR engagement (Fatma and
Rahman, 2016); and
(2) minimising consumer scepticism of companies’ motive for engaging in CSR
(Du et al., 2011).
Considering these ideas, in this paper we base our argument on legitimacy theory to
examine the influence of the online communication of companies’ CSR engagement on
consumers’ eWOM. Based on the principles of social identity theory, we also explore the role
of C-C identification as a mediator in the CSR–eWOM relationship. We decided to explore C-
C identification because the extant literature has claimed that CSR engagement can be used
to engender identification (Baskentli et al., 2019). Nonetheless, the study of C-C identification
has been neglected in the online context.
In testing the conceptual model, our goal is to deepen the empirical understanding of the
effect that social media has on eWOM in the context of CSR engagement in the retail
banking industry. In doing so, the study contributes to the literature in various ways. First,
the present study examines the influence of company-related attributes (i.e. CSR attributes)
presented on SNSs on consumers’ behaviour. Company-related attributes are distinct from
product- and service-related attributes because they relate to social issues and so they are
likely to generate more discussion on social media. Second, this study contributes to the
literature by enriching researchers’ understanding of how CSR engagement influences the
eWOM on social media through C-C identification. The three variables have rarely been
analysed together in the previous literature in the online context.
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2. Literature review and hypothesis development
2.1 Legitimacy via corporate social responsibility engagement
Legitimacy theory implies a “social contract” exists between society and the business
(Fatma et al., 2018). This contract entails whether the business operates within the norm set
by society or simply the expectation of the society. Companies need to ensure that this
contract is not breached to maintain their legitimacy (Bela, 2008), which is essential for the
company’s growth and survival (Suchman, 1995). More precisely, legitimacy refers to a
“generalized perception or assumption that the actions of any entity are desirable, proper, or
appropriate within some socially constructed system of norms, values, beliefs and
definitions” (Suchman, 1995, p. 574). Consequently, legitimacy does not mean what a
company possesses but rather how stakeholders perceive the company; it has been used by
the public to justify a company’s “right to exist” (Maurer, 1971, p. 361).
Stakeholders are willing to support a company that has achieved legitimacy (Maignan
and Ferrell, 2004). A company’s engagement in CSR creates an ethical corporate image
(Fatma and Rahman, 2017) and thus enhances its legitimacy (Du and Vieira, 2012), which
may lead to favourable stakeholder perceptions about the company (Fatma and Rahman,
2017). For instance, a company’s CSR engagement can foster consumer trust in the
company, which may lead to increased patronage (Park et al., 2014). Socially responsible
companies also have advantage in attracting a talented workforce (Mirvis, 2012), as well as
attracting company investors (Maignan and Ferrell, 2004).
Therefore, a company can reap legitimacy benefits from its CSR engagement
(Suchman, 1995). Most notably, CSR communication plays a critical role. Companies can
communicate their CSR engagement through SNSs (Dawkins, 2004), which can enhance
both CSR awareness (Pomering and Dolnicar, 2009) and its legitimacy (Fatma et al., 2018).
2.2 Corporate social responsibility engagement
CSR engagement refers to how companies are identifying and communicating their CSR-
related activities for the purpose of commercial output. The present study uses the Sampaio
et al. (2012) approach to define CSR engagement, namely, it is an umbrella term that refers to
business responses to social and environmental issues, including their motivation for
adopting such policies. There is growing evidence in the literature that shows the increasing
importance of CSR engagement. First, CSR engagement brings a myriad of potential
benefits to the company and society (Carroll and Shabana, 2010). Moreover, companies are
engaging in CSR activities because it is the right thing to do (Bansal and Roth, 2000).
Subsequently, CSR engagement is taken as a step towards strategic investment by moral
managers (Porter and Kramer, 2006). Finally, companies with CSR engagement are more
likely to disclose their CSR-related activities on public domains (Dhaliwal et al., 2011).
Consequently, more transparency reduces the information asymmetry aimed at different
stakeholder groups.
2.3 Corporate social responsibility engagement via social media
Social media has become a crucial part of everyday life and has improved understanding
about people’s preferences and needs based on the information they share on SNSs. This
form of online media facilitates communication through a friendly interface (Pannunzio and
Nelson, 2008). It is also used by companies to share their product related information,
receiving feedback from the consumers, making announcements concerning company
activities and engaging in conversation with the community and general public
(Stone, 2009).
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Specifically, this form of media is increasingly used by many companies of different sizes
and types to communicate their social engagement (Colleoni, 2013). Du et al. (2011) state that
the use of social media may enhance the effectiveness of CSR communication because
messages can easily be shared with the general public. Even though there are numerous
concerns with using social media, such as a loss of control over data, information privacy
and industry safety standards (Scarborough, 2010), this type of media can help companies to
adequately position or reposition their CSR (Bauer, 2014). For instance, it helps to reduce
information asymmetries by creating awareness and expanding audiences (Zerfass et al.,
2012), because CSR engagement communicated through SNSs is perceived to be more
credible than company controlled messages (Lyon and Montgomery, 2013).
Despite the relevance of CSR engagement through social media, the CSR literature has
not fully captured this relation. CSR researchers are just starting to explore how social
media impacts business–society relations (Whelan et al., 2013). Thus, we believe that
analysing CSR engagement through social media is going to be a key contribution to the
CSR literature. In making our contributions, we draw on the social identity theory literature
to propose that, in comparison to traditional media (e.g. TV, print, radio), social media (e.g.
Facebook, Instagram, Twitter) offers multidirectional communication with high speed and
low cost. The decentralised and interactive characteristics of social media are significant for
CSR engagement. Social media empowers individuals to democratise social relations by
reducing the costs that individuals’ face when it comes to raising their voice (Whelan et al.,
2013).
2.4 Electronic word-of-mouth
Positive WOM relates to favourable communication about a company that a consumer is
willing to share with others (Lacey and Kennett-Hensel, 2010). The favourable role of WOM
is well understood in acquiring new consumers (Zeithaml et al., 1996). More precisely, WOM
is shown to influence attitudes, awareness, perceptions, expectations, behaviour intention
and actual purchase behaviour both in the offline and online contexts (Ward and Lee, 2000).
Therefore, WOM is especially important for companies (Solis, 2011), which are capable of
using positive WOM to increase the success of their marketing and promotions (Chen and
Xie, 2008). With the emergence of the internet, social media has facilitated online WOM,
which is known as eWOM. eWOM in the online context is defined as:
[. . .] any positive or negative statement made by potential, actual, or former customers about a
product or company, which is made available to a multitude of people and institutions via the
internet (Hennig-Thurau et al., 2004, p. 39)
With the diffusion of information technology and Web 2.0, attracting people and forming an
online community are no longer a tough task for companies. This form of relationship is
built up using a network of people with shared interests and no centralised control. Thus,
building social relationship and bonding with peers are the primary activities among SNS
users. In this context, the ideas spread through this network via eWOM are perceived to be
highly credible by the users because they are based on group similarities (Colleoni, 2013).
2.5 Corporate social responsibility engagement and electronic word-of-mouth
Furthermore, companies engage in CSR for many reasons (Vo et al., 2017), including gaining
positive WOM (Rim et al., 2016). CSR engagement results in consumers being willing to talk
about companies’ socially responsible activities to their friends, families and colleagues
(Bhattacharya and Sen, 2004). Therefore, companies’ engagement in CSR helps them to
construct their socially responsible image. For this purpose, eWOM on SNSs has many
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advantages as it quickly and spontaneously disseminates the information compared to
offline WOM. It can also be used in the setting out of companies’ shared values and CSR
agenda (Fieseler and Fleck, 2013). This becomes imperative in identifying how CSR
engagement influences eWOM in online hangouts. Thus, the following hypothesis is
proposed:
H1. Companies’ CSR engagement has a positive influence on eWOM on social media.
2.6 Consumer–company identification
According to social identity theory, people tend to classify themselves and others into
various social categories, such as religious affiliation, organisational membership, age
cohort and gender (Tajfel and Turner, 1979). Social classification serves two purposes
(Bhattacharya and Sen, 2004). First, it segments the social environment and provides
individuals with a systematic method of defining others. Second, their identification with a
specific category enables individuals to define or locate themselves in the social
environment. In this context, C-C identification is a specific form of social identification
(Fatma et al., 2018). In the present study, we define C-C identification as a perceived feeling
of oneness with the company (Mael and Ashforth, 1992).
C-C identification expresses the reason that motivates individuals to relate themselves
with the company. This occurs through a cognitive categorisation process during which an
individual views himself/herself as a member of an organisation and tries to find the
similarity or overlap in his/her identity and company characteristics. Because of this type of
connection, the company is emotionally accepted as part of the individual’s social identity
(Scott and Lane, 2000). Therefore, consumers also have a need for self-definition that is
fulfilled through identifying and developing the social exchange relationship (Dutton et al.,
1994). Du and Vieira (2012) suggest that when individuals identify with the company they
become “psychologically attached to and care about the company and its products” (p. 227).
Subsequently, they engage in behaviour that is “directed toward preserving, supporting,
and improving the organization” (p. 577), as stated by Ahearne et al. (2005).
2.7 Corporate social responsibility engagement and consumer–company identification
When discussing C-C identification, it is critical to be aware that consumers identify not only
with the companies’ products and services but also with companies themselves
(Bhattacharya and Sen, 2004). In this regard, CSR engagement plays an important role in the
corporate identity that may induce consumers to identify and develop a sense of
connectedness with the company (Marín et al., 2009). Lichtenstein et al. (2004, p. 17) state
that “the way that CSR initiatives create benefits for companies appears to be by increasing
consumers’ identification with the company”. The ability to establish congruence between
the individuals’ expectation and CSR activities depends upon how the CSR is communicated
with different stakeholders (Lee et al., 2013). With the diffusion of social media, such as
Facebook or Twitter, people are no longer passive receivers of communication. Rather, they
actively engage in the evaluation and creation of content (Mirvis, 2012), which results in
increased awareness about companies’ CSR engagement (Pomering and Dolnicar, 2009) and,
therefore, increased C-C identification as well. For this, consumers who are aware of
companies’ CSR engagement develop a stronger sense of identification compared to those
who are not aware of such activities (Bhattacharya and Sen, 2004; Fatma and Rahman,
2016). Additionally, individuals are more likely to identify with highly socially responsible
Effect of CSR
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activities to express ethical or moral values that enhance their self-esteem (Reed and Aquino,
2003). Thus, the following hypothesis is proposed:
H2. Companies’ CSR engagement has a positive influence on C-C identification on social
media.
2.8 Mediating effect of consumer–company identification between corporate social
responsibility engagement and electronic word-of-mouth
Based on the prediction of social identity theory (Tajfel and Turner, 1979), consumers with a
strong level of C-C identification are prone to engage in extra role behaviour, such as a
positive evaluation of company, supporting its products and brand loyalty. (Ahearne et al.,
2005; Bhattacharya and Sen, 2003). If the consumers identify themselves with the company
or brand, they tend to make positive recommendations about it (Algesheimer et al., 2005)
and provide positive WOM (Arnett et al., 2003). It is likely that at least part of consumers’
willingness to talk about companies they perceive to be socially responsible is based on their
identification with the company (Bhattacharya and Sen, 2004) because it enhances their self-
esteem and projects an ethical and social image (Aquino and Reed, 2002). Companies’
CSR engagement through social media provides a more favourable context for consumers to
evaluate the company and engage in conversations with others that may result in positive
eWOM. Social media platforms enable the individuals to participate in a collaborative and
co-creative environment, as well as providing numerous ways for companies to connect with
their customers and build relationships and trust with them. This form of relationship is
more enduring and long lasting (Sen and Bhattacharya, 2001). Based on Baron and Kenny’s
(1986) logic of mediation, we assume that consumers’ identification with a company will
mediate the relation between a company’s CSR engagement and positive eWOM on social
media. Thus, the following hypothesis is proposed:
H3. C-C identification mediates the relation between companies’ CSR engagement and
positive eWOM on social media.
3. Method
3.1 Sample selection
The population of the study includes consumers who evaluate Indian banks that have a
brand page on Facebook. Indian banks are embracing the social media space in a big way.
SNSs are used by many banks to promote their products, resolve consumer queries, improve
the brand image, make important announcements, etc. In this context, Indian banks have six
million fans on Facebook (www.indiainfoline.com). Amongst them, the private sector banks
(e.g. ICICI, HDFC and Axis) possess the highest number of followers on Facebook.
Therefore, respondents are:
customers of a bank;
they also have a Facebook account; and
they are followers of Indian banks’ brand pages on Facebook.
We have used a sample that exclusively includes customers and, to control for this issue, we
asked the respondents whether they were employees in the banking industry. We excluded
employees from the sample based on a positive response to this question. A convenience
sampling technique was used to select the sample. To guarantee the respondents’
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representativeness, three initial screening questions were asked. First, respondents were
asked Are you a user of any banking service? Then, Do you have a Facebook account that
you have accessed during the last month? (Lipsman et al., 2012). The third question was, Do
you follow your bank brand page on Facebook?
Only those respondents who answered “yes” to all the questions were allowed to take
part in the survey. Respondents were advised to answer the questions considering a bank
that they had already shared information with on Facebook. After confirming the answer of
these respective questions, the final survey link was mailed to the respondents. Respondents
were asked to answer the survey questions on the basis of their perception of their banks’
CSR engagement on Facebook. The data were collected online from July to August 2018.
After data collection and filtering, a total of 239 valid surveys were retained for analysis.
3.2 Measures
All the measurement items used in this study were taken from previous studies. Items were
measured on a seven-point Likert scale ranging from strongly disagree (1) to strongly agree
(7). At the preliminary stage, a pilot test of the questionnaire was conducted with graduate
students to evaluate the reliability, comprehensibility, wording and ambiguity of the scale
items (Hair et al., 2016). In our model, the independent variable, CSR engagement, was
measured with a five-item scale taken from the study of Klein and Dawar (2004) and Brown
and Dacin (1997). A four-item scale taken from Mael and Ashforth (1992) was used to
measure C-C identification. eWOM was measured with a three-item scale adapted from the
study of Zeithaml et al. (1996). All of the scale items are listed in the Appendix.
4. Analysis and results
The present study used three methods to reduce common method bias. First, the identity of
the respondents was kept anonymous. Second, Harman’s single factor was applied.
According to this test, one factor would cause the majority of variance in the independent
and dependent variables if common bias existed (Podsakoff et al., 2012). However, the
results of an exploratory analysis showed three factors with variances of 17.34, 28.92 and
34.92 per cent, respectively. Thus, no factor emerged as causing the majority of variance in
our model. To further confirm the absence of common method bias, all the variables were
loaded on one other variable in the confirmatory factor analysis and the model fit was
checked. All the model fit indices revealed a poor fit [comparative fit indice (CFI) = 0.553,
GFI = 0.690, normative fit indice (NFI) = 0.712, root mean square error of approximation
(RMSEA) = 0.120]. Consequently, the findings indicated that common method bias was not
present in the sample data (Podsakoff et al., 2003).
4.1 Validation of the measurement model
Confirmatory factor analysis was carried out with the data to test the measurement model
using maximum likelihood estimation. All the model fit indices were in an acceptable range (x2
= 269.310, df = 66, p = 0.000, CFI = 0.912, GFI = 0.979; NFI = 0.891; RMSEA = 0.600, root mean
square residual (RMR) = 0.400), confirming the model fit. As shown in Table I, the Cronbach’s
alphas of all the measures were higher than 0.80, demonstrating adequate internal consistency
(Bagozzi and Yi, 1988). The reliability of the measurement scales was examined using
composite reliability. The composite reliability of all the constructs exceeded 0.700. Therefore,
the composite reliability of all the measures was deemed satisfactory. The convergent validity
of the model was examined by exploring the average variance extracted (AVE) value of each
construct. The AVE of each construct was above 0.500, suggesting the measurement model
possessed good convergent validity (Fornell and Larcker, 1981), as shown in Table I. To assess
Effect of CSR
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the discriminant validity of the measures, the square root of the AVE of each construct was
compared with the correlation of that construct with the other constructs in the model. As
shown in Table II, the square root of the AVE of each construct was larger than its correlation
with other constructs, thus confirming the discriminant validity of the model.
4.2 Hypothesis testing
The proposed hypothesised relationships (Figure 1) were tested using structural equation
modelling with partial lease sqaure (PLS-SEM). PLS-SEM is a causal modelling approach
intended to maximise the explained variance of the dependent latent constructs. This path
modelling proves to be a “silver bullet” in estimating theoretical models and empirical data
situations (Hair et al., 2016). In our conceptual model, all of the model fit indices were within
Table I.
Results of the first-
order confirmatory
factor analysis of the
conceptual model
Constructs Item Factor loadings a CR AVE
CSR engagement CSR1 0.700 0.890 0.830 0.640
CSR2 0.650
CSR3 0.910
CSR4 0.890
CSR5 0.780
C-C identification CCI1 0.840 0.830 0.860 0.770
CCI2 0.790
CCI3 0.660
CCI4 0.710
eWOM WOM1 0.970 0.870 0.910 0.730
WOM2 0.910
WOM3 0.890
x2
= 269.310, df = 66, p = 0.000 CFI = 0.912 GFI = 0.979 NFI = 0.891 RMSEA = 0.600 RMR = 0.400
Notes: CFI = Comparative fit indice; NFI = normative fit indice; RMSEA = root mean square error of
approximation; RMR = root mean square residual
Table II.
Descriptive statistics
and discriminant
validity
CSR CCI eWOM Mean SD
CSR 1.000 3.120 0.390
CCI 0.450** 1.000 4.560 0.490
eWOM 0.360* 0.170* 1.000 3.760 0.610
Notes: p 0.050* and p 0.010**; SD Standard deviation
Figure 1.
Hypothesised model
H2
H3 H3
eWOM
CCI
CSR
Indirect effect
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the acceptable range. The structural model has a statistically significant value (x2
=
321.310, df = 76, p = 0.000, GFI = 0.899; CFI = 0.911, NFI = 0.923, RMR = 0.300, RMSEA =
0.700). Thus, we conclude that the proposed model fits the data well.
The results of the hypothesis test are illustrated in Table III. H1 states that companies’
engagement in CSR activities has a positive influence on eWOM on social media; thus H1 is
supported (b = 0.210, p 0.050). In this regard, eWOM behaviour is consistent with the
social nature of legitimation (Handelman and Arnold, 1999). For example, if a company is
involved in CSR and it engages in dialogic conversation on social media, CSR engagement
can have an important impact on the positive eWOM.
H2 states that CSR engagement has a positive influence on C-C identification on social
media; thus H2 is supported (b = 0.260, p 0.050). According to social identity theory, if a
company engages in socially responsible activities, consumers tend to increasingly identify
with the company. As Du et al. (2011) state CSR-based identification is more distinct and
enduring compared to other conventional positioning strategies because it satisfies the self-
definitional needs of the consumer. Previous research has also reported that CSR influences
C-C identification (Sen and Bhattacharya, 2001).
The analysis also reveals that the corresponding indirect (mediated) effect is significant.
C-C identification thus mediates the relationship between CSR engagement and eWOM on
social media, in support of H3 (b = 0.620, p 0.010). This finding is consistent with the
social identity theory’s assumptions that imply the more the consumer identifies with the
company based on its socially responsible image, the more he/she is willing to talk
positively about the company to others (He and Li, 2011).
The findings of the study show the great importance of CSR engagement in that it
heavily influences C-C identification and demonstrates that consumers are willing to talk
positively about companies if they identify with them. The idea behind eWOM through
social media is that companies’ information can spread easily from one person to another
(Colleoni, 2013). This direct way of communication can develop an active engagement
between the company and its stakeholders. It also provides a great opportunity to
consumers to become familiar with the company (Tsimonis and Dimitriadis, 2014) and
identify with it (Tuškej et al., 2013).
5. Conclusions and implications
The present study investigated the direct influence of CSR engagement on C-C identification
and eWOM. Furthermore, we examined the mediating influence of C-C identification in the
relationship between CSR engagement and eWOM. First, our results highlight the
opportunities brought about by new technology such as online social media to the service
industry (Bitner et al., 2008). It has been a general belief that social media loses control over
content, but this is “more [a] perception [than] a reality” (Stone, 2009, p. 109). On the
contrary, it has been claimed that WOM in the non-digital banking industry cannot be
controlled among consumers either (Stone, 2009). Instead, banks are requested to learn how
to think “the social media way” and become accustomed to online communication, including
the communication of their CSR engagement to consumers. In this age of social media, it is
increasingly easy for us to be confused between the actual matter and the opinion of faceless
Table III.
Hypothesis testing
(direct and indirect
effects)
CSR CCI eWOM
Direct effect 0.260; p 0.050 0.210; p 0.050
Indirect effect NH 0.620; p 0.010 via CCI
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people writing behind anonymity. The present study contributes to the literature by
enriching our understanding of how CSR engagement influences eWOM on social media.
With the proliferation of social media, Indian banks have understood that likes, shares and
tweets do matter in engaging consumers, especially the younger generation. Indian banks
are posting on Facebook about their CSR activities and these posts are generating millions
of likes and engaging customers to generate positive WOM. This study provides a
suggestion to banks that their CSR engagement not only helps their social implications but
also leads to business outcomes by building a strong corporate image.
5.1 Theoretical implications
Despite the plethora of research on this area, CSR remains a contested topic and its
conceptualisation and practices vary considerably. Apart from this, CSR communication is a
complex task, for which no universal formula exists (Maggon and Chaudhry, 2015). The
increasing popularity of social media has changed how people interact with each other and
has paved the way for social commerce. The present study contributes to the CSR and online
research literature by highlighting the emerging use of social media. Of theoretical concern,
this study connects the social identity perspective to CSR in the online context, something
not previously explored.
5.2 Practical implications
The emergence of the internet and social media has given ample opportunities to banks and
other companies to communicate about CSR engagement and connect with their consumers
using dialogic conversation. At present, India is becoming globally integrated and
companies are transforming into powerful economic and social institutions. The country
has seen a rise in CSR momentum, the reason for this being that, since 2013, the government
has mandated CSR in the Companies Act, 2013 (Fatma and Rahman, 2016). In India, CSR has
been undertaken in broad community categories, such as health, education, art and culture
and infrastructure (Fatma and Rahman, 2014). Currently, both the Indian government and
the general public have higher expectations from Indian banks to contribute towards social
welfare.
The findings in the present study suggest that CSR communication on SNSs engages
consumers and also helps them to identify with the companies and increase their eWOM.
This study investigates this effect by collecting the natural conversations of people on an
open social media platform. Based on this finding, we suggest that managers should
communicate about CSR engagement on social media to favourably influence both
identification and eWOM. Focusing on company visibility via CSR communications on
online platforms may positively influence companies’ level of goodwill. Such efforts are
likely to increase consumers’ identification with the company, making him/her feel proud
about the company and engage in positive eWOM. Results also suggest that a company
should invest in corporate identity management because of its relevance in its target market.
By strategically managing its corporate identity, a company can leverage the benefits of
favourable consumer outcomes (e.g. identification, eWOM, etc.).
Findings suggest that banks should engage in CSR communication on Facebook as an
on-going process rather than a onetime activity. This is critical if the company wants to
increase awareness of its CSR engagement. Discussing the CSR engagement of the
companies on online platforms provides practitioners with an opportunity to reach their
target audience and increase awareness about CSR. This also leads to a high level of
information diffusion to both consumers and non-consumers.
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The banking industry is in the initial phase of expanding their presence on social media
and using Facebook as a medium to connect with consumers. Most of the banks are sceptical
about issues such as the misuse of data, lack of control over communication, privacy and
negative consequences concerning safety standards (Klimis, 2010). Nevertheless, the
Reserve Bank of India is advising banks to increase their presence on social media. Experts
also believe that to take banking to the next stage, Indian banks will have to continue to
invest in social media and mobile platforms. They should continuously experiment with
various social media tools and channels to strengthen their brand, enable payments,
improve their visibility and build their image. US banks, such as the Bank of America and
Citibank have a strong presence on social media and provide interactive service support to
their consumers through Web 2.0 channels (Stone, 2009).
5.3 Limitations and directions for future research
This study has made an effort to step forward in this area of CSR and eWOM through
identification in the online context; we believe this can serve as a stepping-stone for future
research. Further research can seek to apply a similar framework in other areas to test its
reliability and applicability. This study contributes to the field of online communication and
CSR in several ways, although some shortcomings need to be put forward. First, the present
study focused only on Facebook, whereas other SNSs can also be considered during further
investigations to achieve more insight into this area. Second, we encourage research on the
role of “identity salience” in consumers’ identification with the company. This concept has
gained increased visibility within the identification research literature (Huang et al., 2017;
Vo et al., 2017). We also encourage future research to test other mediating pathways that
may lead to positive eWOM in the online context. This model can be tested in other industry
sectors where the nature of service is less complex than banking services. Finally, different
industry characteristics affect consumers’ perception of company activities and would also
determine their consumer marketing communications.
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Appendix
Corresponding author
Mobin Fatma can be contacted at: mobinfatimambd@gmail.com
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Table AI.
Scale items
Scale items Source
CSR engagement
This bank . . .
CSR1 . . . is socially responsible Klein and Dawar (2004), Brown and Dacin
(1997)
CSR2 . . . contributes to the welfare of society
CSR3 . . . contributes to the donation program
CSR4 . . . doesn’t harm the environment
CSR5 . . . contributes to recover from economic
crises
C-C identification
CCI1 When someone criticizes X it feels like a
personal insult
Mael and Ashforth (1992)
CCI2 I am very interested in what others think
about X
CCI3 When I talk about X, I usually say “we”
rather than “they”
CCI4 When someone compliments X then it feels
like a personal compliment
eWOM
WOM1 I would recommend this bank to someone
who seeks my advice
Zeithaml et al. (1996)
WOM2 I encourage friends and relatives to be a
customer of this bank
WOM3 I say positive things about the bank to other
people
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956
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