How Consumer Brand Engagement Effect on Purchase Intention? The Role of Social Media Elements
Muhammad Bilal* , Zeng Jianqu and Junlan Ming
1School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China .
Corresponding author Email: Bilal_ashraf30@hotmail.com
DOI: http://dx.doi.org/10.12944/JBSFM.02.01-02.06
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Bilal M, Jianqu Z, Ming J. (2021) "How Consumer Brand Engagement Effect on Purchase Intention? The Role of Social Media Elements". Journal of Business Strategy Finance and Management, 2(1,2). DOI:http://dx.doi.org/10.12944/JBSFM.02.01-02.06
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Bilal M, Jianqu Z, Ming J. (2021) "How Consumer Brand Engagement Effect on Purchase Intention? The Role of Social Media Elements". Journal of Business Strategy Finance and Management, 2(1,2). Available From : https://bit.ly/3rZCGU6
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Article Publishing History
Received: | 16-02-2021 |
---|---|
Accepted: | 05-04-2021 |
Reviewed by: | A. Vinodan |
Second Review by: | Dr. Zubair Akram |
Final Approval by: | Dr. Syed Mohammad Tariq Zafar |
Introduction
Consumer-brand engagement (CBE) is a marketing research zone that draws considerable attention. (Hollebeek et al., 2019; Harmeling et al., 2017 Keller et al., 2016). More than 80% of marketers in the next few years will aim to involve customers by developing a connection with them based on predictions that loyal consumers will join 40% more each year, adding a profitability premium of 20%. Defined as "consumers' brand-related cognitive, emotional and behavioral activity connected to focal brand interactions" (Hollebeek et al., 2014, p. 149), CBE is a multi-disciplinary idea with emotive, rational, and behavioral scopes (Gomez et al., 2019; Martos-Partal et al., 2015). Research attention derives from the awareness of the prominence of CBE to the marketing campaign, particularly the establishment and improvement of consumer-brand relationships (Bilal, et al., 2019; Butler, 2014).
Consumer engagement focuses on psychological states that consumers experience as a result of their interactions with the product, organization, and other consumers (Foroudi et al., 2014; Hollebeek et al., 2014). Consumer engagement has received high volume attention as a new idea in latest information systems and marketing studies. (Ma and Zhan, 2016; Dessart et al., 2015). According to research on the antecedents of consumer engagement in online brand communities’ consumers interested to engage in online communities when they believe they will assistance from the brand, firms, or brand community. the degree of engagement differs Even though customers receive the same benefits from the brand or culture, (Brodie et al., 2013Foroudi et al., 2014). As a result, current research lacks individuals' personal interactions in a given environment as well as their own characteristics, resulting in a context menu and simplistic explanation of customer engagement. Consumer engagement research that considers consumers' psychological experiences with SMM help us better understand the factors that stimulus consumer engagement in SMM and online purchasing intention.
In marketing research acknowledged as a primacy field (Foroudi et al., 2014; Abubakar et al., 2017), CBE is an essential framework for developing consumers' satisfaction and purchase intention (Coombs and Holladay, 2015) and for refining promotion usefulness (Yαng et al., 2017), and business achievements (Webber, 2017). Accordingly, marketers are also trying to excavate their comprehension of how CBE is created, fostered, and preserved (Calder et al., 2016; Schultz and Peltier, 2013). Thus, there are also demands for firming up the theoretical structure sustaining CBE through empirical proof (Kim et al., 2012; Foroudi et al., 2014), particularly regarding what concerns its consequents and antecedents (Bento et al., 2018). There is a need for practical CBE study to strengthen the perception of constructs, drivers, and processes, such as the use of marketing discussion for the acquisition and preservation of customers by the improvement of customer-brand relationships.
It is estimated that 74 percent of online users use social media sites (Islam and Rahman, 2016), and more than fifty percent of social media channels receive brand-related facts from the following brand accounts (Ismail, 2017). Statista, (2019b) Latest scientific estimates measure the global rate of social media penetration at 42 percent, monthly with over three billion vigorous users. This usage explains why over ninety percent of companies currently contain social media contact in their marketing campaigns by YouTube, Instagram, Facebook, and Twitter, to share product-related information to the customer (Trump, 2014). Companies use social media channel to discuss information about products, such as generating feedback and spreading new feature, as well as to gain information about customer choice and to a stable relationship with consumers, all that makes it easy to create CBE and promote Purchase intention (Harrigan et al., 2017; Grappi and Romani, 2015).
Marketers apprehend the superiority of SMM in terms of contact with consumers and brand-building practices over traditional advertising (Hollebeek et al., 2014; Park and Reber, 2011). Accordingly, Shao (2009) the subject of current research to age is generally on the attraction of user-sharing content, on creative strategies, and content analysis (Ashley and Tuten, 2015; Shen and Bissell, 2013), and consumers' behavior as a share brand community on social-media (Kim et al., 2019). As a result, SMM is entirely perceived to be a fairly recent marketing method, and the understanding of how it affects CBE remains narrow (Grappi and Romani, 2015; Rohm et al., 2013).
This paper explores the impression of SMM elements, namely interaction, customization, and eWOM, trendiness, and customization, on CBE and purchase intention. We continue to study the related literature to find research gaps critically. This expedites the design of a theoretical framework in which SMM elements serve as CBE drivers and purchase intention. Next, explain the methodology and realistic analysis results, monitored by implications, limitations, and future directions.
Hypotheses and Model Development
A perilous analysis of the literature dealing with SMM, purchase intention, and CBE underlies the consequent expansion of the theoretical structure and is used to direct scientific studies into SMM elements' effect on CBE and purchase intention.
Social-Media Marketing (SMM)
Social Media denotes to "a group of Internet-based presentations that shapes on the technological and ideological basics of Web 2.0 and that permits the exchange and formation of user-generated content" (MSI, 2018). It is regarded as most one relevant engagement channels for product variety information due its immersive features provide for involvement, collaboration, and information sharing practices (Pansari and Kumar 2017), with a high volume for contact the community instead of old media, such as radio, TV, and print (Bowen, 2015). Zeng and Gerritsen (2014), explained social media include content community sites, consumer reviews, internet facilities, and social networking sites (Tess, 2013). Arguably, increasing business community to discuss about the brand via SMM platform, as well as advertising on social site, managing consumer-sharing content, all with the goal of developing reliable and favorable brand information in the mind of the consumer (Ashley and Tuten, 2015).
Entertainment
The former discussion on SMM elements and brand contact with engaging elements is viewed as enjoyable and playful (Cunningham et al., 2019). In reality, engaging SMM content can offer customers enjoyable and fascinating details to deepen their affinity for a brand (Lin and Kloet, 2019; Curras-Perez et al., 2014). For instance, the study suggests that brand pages with games, narratives, competitions, presents, interactive animations, photographs, and videos are viewed as enjoyable, entertaining, and flashy, generating enthusiasm and meeting the consumer's aesthetic pleasure and emotive needs, such that customers are motivated to purchase brand-related content (Plantin et al. 2018). Brand Page Entertainment Appeal transforms into favorable customer experiences, thereby creating consumer spiritual engagement in the brand (Nieborg and Poell, 2018; Ashley and Tuten, 2015;). Thus:
H1. Entertainment is associated with Consumer–Brand Engagement.
Interactivity
Interactive brand pages on social media promote contact between customer and brands and affect the generation of favorable impressions of a brand (Lin and Kloet, 2019). Sharing a link to the official website of the brand, as well as promoting the sharing and dissemination of knowledge relating to the brand among consumers, can increase interactivity (Mishra, 2019). Marketers can also promote users' involvement through the submission of their statement, sharing feedback, and subscribing to the company website (Zhu and Chen, 2015), These customer engagement practices are essential in enhancing experiences between brands and consumers (Merrilees, 2016). The result enhances customers' semantic awareness of product characteristics and brand benefits (France et al., 2016). In the Chinese social media, such as WeChat, RenRen, and Weibo, often encourage consumers to share ideas with compatible others about particular products and reinforce the mutual concern between shoppers and companies (Lin and Kloet, 2019; Bowen, 2015). Such experiences can eventually lead to a higher degree of excitement and corresponding production of liking (Godey et al., 2016), by facilitating customers to give their feedback to companies, thereby allowing firms to increase the worth of their products and services (Merrilees, 2016).
H2. Interactivity is associated with Consumer–Brand Engagement.
eWOM
Social media development has expanded the digit of customers who calculate products and brands based on eWOM (Goh et al., 2013; Lien and Cao 2017; Bilal, et al. 2020). This is expected to positively impact their appraisal of goods and services, pushing users to spend further perceptive energy reading eWOM (Xu et al. 2018). Considering the reliability of social media sites presumed stability of social media sites (Cheung et al., 2011), The creation and exchanging of eWOM among customers creates a logic of cohesion and the emotive association between products and consumers (Malthouse 2013), sharing positive attachment among customers (Liang et al. 2019). Thus, the availability and use of eWOM on social media channels tend to shape favorable brand impressions and positive feelings for the exact brand, thus improving the consumer-brand partnership.
H3. eWOM is associated with CBE.
Consumers feel inspired to consume up-to-date content on products on social media sites in order to stay up-to-date with the new updates on brands and awareness of related trends (Chen and Qiu (2019). Brand trendiness can add to the observation of the brand as a top product encouraging consumers to check for the hottest information on social networks, thereby donating to creating a positive brand understanding in the thoughts of consumers. In specific, trendy conversation subjects and the newest product news accessible on the brand's Social media page successfully promote customer ingenuity to address them with friends, thereby improving consumer cognitive existence in brand-related experiences and helping to build favorable brand impressions (Chan et al., 2014). As a result, the more stylish the details presented by the social media brand websites, the more successful it can be to engage customers (Malthouse 2018). As such, trendiness information supports, catches consumers' consideration, arousing optimistic moods, and pouring fidelity intention (France et al., 2016). The claim by Hollebeek's (2011) that improving customer rational and emotional existence leads to increasing CBE. Thus
H4. Trendiness is associated with Consumer–Brand Engagement.
Figure 1: Conceptual Framework 1. Click here to view Figure |
Influence of Consumer–Brand Engagement on Purchase Intention
As per Martos-Partal et al., (2015), in order to accomplish marketing targets, the interaction between consumers and the brand contributes a crucial part of the company's growth capacity. The probability of a customer purchasing intention for services and goods would be better if their purchasing experience is positive. Boyer and Hult (2006) conducted research on consumer behavioral intentions for online purchases using the data gathered from the survey, and their results revealed that, depending on the extent of customer service, they could adjust the buying intention. Customers who purchase the associated goods and services of the company would be persuaded by this method. More precisely, Magneto's report in 2015 showed that a 23 percent rise in revenue is a boost to Customer Loyalty because they pay more and more on each order. So, Yang and He (2011) concluded that customer spending choices would be affected by user interaction. This will result in a high purchase value for buyers, and a potential buyer's expense will decline. Theoretically, increasingly active shoppers are establishing a fairly popular pattern by persuading their loved ones like family members and mutual friends as consumers.
H5: Consumer Engagement Influence Positively Consumer's Purchase Intention.
Procedures and Methods
This research was performed to achieve a deeper understanding of the social media elements entertainment, interaction, eWOM, trendiness, consumers brand engagement and purchase intention. An online survey was designed to determine customers' reactions to online vendor fairness in the recent previous. The condition of respondents to the survey was confirmed by the use of 3 separate requirements. First, consumers of WeChat necessity have an online purchase skill. Next, the respondents received a minimum of a single message in the moments of WeChat contacts through the recent month. Third, two main Chinese cities, Beijing and Shanghai, were decided for enhanced structure and convenience.
Questioners Designing
Although the target audience was in China, the steps introduced were initially in English, interpreted into Chinese, and translated back into English. We selected three postgraduate and two Chinese doctoral students who are in English major literature. In comparison, the Construction of this report has been updated numerous times with the aid of two language specialists in both Chinese and English to eliminate suspicions. Prior to administering the final review, a pilot sample of 50 respondents was performed to assess the effects. The findings of the pilot survey confirmed that the measurement items were fine interpreted and discussed.
The final survey was carried out to gather the requested data through online media. Online Media offers a convenient way to the public without any regional constraints and can also reduce the period and expense of the survey. The final edition of the survey method was drawn up on www.wjx.cn after iterative revisions. The link to the online survey form contains a cover letter for the user. The cover letter outlines the aims of this report, the Chinese social media (such as WeChat), the financial incentive, and a description of how the questions should be answered. Until responding to the survey, form participants were requested to recall the latest online shopping trip with items or services. The directions assumed were prepared transparent and simple for respondents to grasp the study goals.
An over-all of 297 replies were obtained from respondents during September to November 2020. We dropped 37 responses, with inexperienced shoppers and respondents who took fewer time to respond to the survey form. The final data of 260 respondents were deemed accurate in this research environment after the invalid responses were overlooked.
Measurement
All items of constructs were taken from the prior studies and modified according to this research setting. To measure the entertainment (four-items), interaction (four-items), trendiness (three-items), eWOM (three-items) all taken from Kim and Ko (2010). Consumer–brand engagement was measured with (four-items) modified Hollebeek et al., (2014). The purchase intentions (five items) were adapted from Jalilvand and Samiei (2012). A total of 23 items were evaluated on the five Likert scales ranging from "strongly disagree = 1" to "strongly agree = 5". Table 1 shows the descriptive statistics of the sample.
Results
Reliability and Validity
Regarding the potential interactions between the diverse variables and their impacts on the eWOM client in the WeChat context, the validity of the measurements was validated using SEM, which is tested in 2 phases: confirmatory factor analysis (CFA) hypotheses analysis. First, AMOS 22.0 was used to assess CFA to approximate the factor's configuration and the model fit of the latent variables. Next, the structural model was analyzed to assess the hypothesized relationship between the variables.
Table 1: Demographics of Research Sample. (N = 260)
Characteristics |
Category |
Frequency |
% |
Gender |
Male |
145 |
55.77 |
Female |
115 |
44.23 |
|
AGE |
18-25 |
97 |
37.31 |
26-30 |
79 |
30.38 |
|
31-40 |
51 |
19.62 |
|
Over 40 |
33 |
12.69 |
|
Education Level |
Intermediate/High School |
39 |
15 |
Bachelors |
83 |
31.92 |
|
Masters |
64 |
24.62 |
|
Doctoral/PhD |
41 |
15.77 |
|
Others |
33 |
12.69 |
|
Frequency of using WeChat |
Many times a day |
133 |
51.15 |
Several times a day |
93 |
35.77 |
|
Once a day |
34 |
13.08 |
|
Online Shopping Experience through WeChat. |
>1 Years |
41 |
15.77 |
1 – 2 Years |
103 |
39.62 |
|
3 – 4 Years |
71 |
27.31 |
|
< 4 Years |
45 |
17.3 |
In the CFA, objects were held if they were loaded over 0.50 on each factor (Arnold and Reynolds, 2003) and below this 0.30 on other factors (Klein, 1998). The calculation algorithm showed a strong fit model (chi-square = 342.51, df = 2.37, CFI = 0.92, RMSEA = 0.05, RMR = 0.05, GFI = 0.93, AGFI = 0.88, NFI = 0.96). Constructions demonstrated durability of (a) alpha coefficient estimates varying from 0.76-0.93, well above the 0.70 threshold values. (Hair, Black, Babin, Anderson, and Tatham, 1998), (b) composite reliability (CR) estimates exceeding the recommended 0.70 thresholds for all constructs and (c) average variance extracted (AVE) exceeding the recommended 0.50 threshold (Fornell and Lacker, 1981; Hair et al., 1998; Nunnally, 1978). See Table 2.
Table 2: Reliability and Convergent Validity.
Variables |
Items |
Means |
SD |
Item Loading |
CR |
AVE |
Cronbach's |
Entertainment |
4 |
3.203 |
0.632 |
0.76-0.93 |
0.786 |
0.672 |
0.923 |
Interaction |
4 |
4.152 |
0.434 |
0.81-0.91 |
0.89 |
0.669 |
0.789 |
Trendiness |
3 |
3.104 |
0.675 |
0.83-0.92 |
0.787 |
0.672 |
0.842 |
eWOM |
3 |
3.201 |
0.775 |
0.79-0.89 |
0.89 |
0.602 |
0.769 |
Consumer–brand engagement |
4 |
4.323 |
0.878 |
0.86-0.91 |
0.932 |
0.647 |
0.885 |
Purchase intentions |
5 |
3.232 |
0.897 |
0.80-0.93 |
0.893 |
0.657 |
0.902 |
Figure 2: Conceptual Framework 2. Click here to view Figure |
Highest probability factor loadings implied converging validity of the underlying structures, which were strong and important (Wixom and Watson, 2001). Such that, all factor loadings surpassed 0.5 and were very significant (p <.001). Discriminant validity means that each latent variable is a different construct (Scott and Robert, 1998). This was calculated by matching the loading of the object correlated with its cross-loading factor on other factors.
Discriminant validity was also supported by the fact that the similarities between the variables were minor than the corresponding square root of the AVE, as seen on the diagonal values in Table 3. (Fornell and Larcker, 1981).
Table 3: Discriminant Validity.
Construct |
ENT |
IN |
TS |
eWOM |
CBE |
PI |
Eigen values |
% of Variance |
Cumulative % |
ENT |
0.749 |
|
|
|
|
|
2.42 |
28.61 |
28.61 |
IN |
0.231*** |
0.871 |
|
|
|
|
2.62 |
20.49 |
49.1 |
TS |
0.312** |
0.501*** |
0.744 |
|
|
|
2.43 |
18.31 |
67.41 |
eWOM |
0.349** |
0.546*** |
0.434** |
0.809 |
|
|
2.32 |
14.27 |
81.68 |
CBE |
0.331** |
0.423** |
0.433*** |
0.499*** |
0.812 |
|
2.44 |
13.38 |
95.06 |
PI |
0.272*** |
0.532*** |
0.341** |
0.442** |
0.321** |
0.827 |
2.66 |
4.94 |
100 |
For entertainment, interaction, trendiness, eWOM were established to have a significant influence on consumer–brand engagement; the values of coefficient were 0.69, 0.42, 0.39, and 0.63, one-to-one with a significant p-value which specifies that entertainment, interaction, trendiness, eWOM. Hereafter, H1-4 was accepted. For H5, consumer–brand engagement was originating to have a substantial impact on purchase intention. According to their significant p-value, H5 was accepted with the significant coefficient and p-value 0.65. Table 4.
Table 4: Model Structural SEM.
H |
Path |
Estimates |
SE |
CR |
H1 |
Entertainment → Consumer–brand engagement |
0.69 |
0.189 |
1.345** |
H2 |
Interaction → Consumer–brand engagement |
0.42 |
0.169 |
2.239*** |
H3 |
Trendiness → Consumer–brand engagement |
0.39 |
0.187 |
2.311*** |
H4 |
eWOM → Consumer–brand engagement |
0.62 |
0.189 |
1.897** |
H5 |
Consumer–brand engagement → Purchase intentions |
0.65 |
0.191 |
2.575*** |
SE = Standard Error; CR = Critical Ratio. ***p-value <0.001, **p < 0.05 |
Discussion
In the sense of a high-volume focal commodity, social media, the results specify that the effect of feedback on CBE and purchasing intention is the greatest, accompanied by eWOM and trendiness. As a consequence, engagement, EWOM, and trendiness attract close consideration when preparing SMM events. The study also showed that CBE had a clear and substantial influence on purchase intention. This finding means that CBE can not only be used as a means of improving brand recognition and awareness but also as an imperative element in creating brand value. Precisely, the results indicate that the impact of CBE on purchase intention is high and important, supporting the value of CBE in the brand-building framework. As a result, the discriminatory use of SMM elements will improve customer cognitive awareness, warmth and activation by helping to create deep and positive brand information in consumers' minds.
Theatrical Implication
The available literature suggests that SMM elements perform a significant position in the creation of CBE and purchasing intentions. This study reveals that commitment, eWOM, and trendiness are critical drivers for solidification CBE, promoting brand value and brand recognition, and fairly reflecting previous literature results. (Helmond, 2015; Plantin et al., 2018). eWOM, trendiness, and interaction can therefore be viewed as a way of growing consumer perceptive processing, kindliness, and activation for the crucial brand (Malthouse 2018) and considered successful in shaping consumer brand attitudes.
The results also indicate that CBE has a clear and optimistic effect on the buying intention, reinforcing the value of CBE in brand awareness building (France et al., 2016). In addition, the results specify the indirect impact on purchasing intention of contact, eWOM, and pattern. This more reflects the use of social media activity with digital media elements eWOM and trend-setting features in the process of brand-developing.
Managerial Implication
From a professional point of opinion, this study noises on advertisers to ruminate the use of SMM in order to improve their Purchasing intention. Rather than seeing SMM as merely another advertisement medium to meet customers, SMM is a significant method to help create CBE and buying intention (Foroudi et al., 2014; MSI, 2018).
The findings indicate that trendiness, interaction, and eWOM are important SMM elements for building CBE and purchasing intention for high-volume goods. Marketers should also advantage from integrating new and up-to-date digital content and promoting constructive eWOM. This is supposed to excite the consumer's cognitive processing, love, and stimulation (Hollebeek et al., 2016), essentially improving customer product information. The suggestion is, therefore, that advertisers should encourage (and, if possible, assist) consumers to get to what they are looking for, such as the EWOM specifics of specific goods (MSI, 2018), thereby enabling customers to spread eWOM on a voluntary basis.
It is also advised that marketer to manipulate the emotional reaction of consumers to a brand by successfully controlling their social media practices (Trump, 2014), possibly gratifying consumers who share their eWOM regularly with complete, value-added, and understanding information on different social media channels (Wang et al., 2012). Policymakers should cogitate a number of social media channels from which users can communicate their views with each other.
Marketers must also explore designing SMM programs that exploit the immersive functionality of SNSs. Marketers can achieve this by putting their social media brand forum that delivers guidance to address customer challenges by using their branded goods and inviting consumers to a social media-based consumer brand network where people can build a wisdom of connectivity within the brand community. Upgraded interactivity social-media brand space may result from the introduction of competitions in order to convince customers to abandon their designs for improving standing products or for fresh product innovations to play in return for gifts. Contests have proved successful in promoting customer engagement, thereby adding to the positive knowledge of consumer products (Chan and Guillet, 2011).
Limitations and Future Research
The results of this analysis must be viewed in the bright of such limitations. Respondents were requested to remember the latest online shopping experience before answering to the reesearch survey. They were interpreted within the context of transaction-specific expertise. This was not adequate for a stated amount of time. Conversely, customers can deliver eWOM on the basis of gradual decisions that have evolved over time, while they have experienced with the seller. Future studies might discuss how these distinctions account for eWOM generation users. The only online customers interested in exchanging eWOM via WeChat in two Chinese cities were surveyed namely (Beijing and Shanghai). Results cannot, however, be applied to other cities. Future studies may suggest the generalization of findings in other Chinese cities. The convenience sampling approach was used during the collection of data. Results may be made simpler and clarified by using other types of sampling, e.g., quotas and random sampling. The non-probability sampling technique can not characterize general Chinese online customers.
Finally, this study attentive to the usefulness of SMM but did not explore any influence of old-style marketing elements, moreover in conjunction with SMM or differently. Future studies may relate the comparative influence of SMM elements and traditional marketing elements, such as traditional ads and network latency, in order to identify which marketing variables are used. A more convincing effect on CBE and its purchase intention.
Conclusion
SM has experienced vigorous growth since it has become a common feature of everyday life. SMM is the best content source that can impact search activity, reading web feedback or ratings, making it a common approach for online users to pursue information before making the correct decision. The present study explored the SMM elements in various directions, such as entertainment, eWOM, trendiness, and interactivity for online users in China. The findings suggest that these elements have a critical effect on CBE and buying intention. This research also explored the fact that comprehensiveness and validity of knowledge are the most problematic factors that can affect online consumer's purchasing behavior. Companies should manage the best plans to enhance the accessibility of online communities, include all relevant business details, and allow consumers to post their views in order to retain users and CBE.
Acknowledgment
This work was supported by the research on big data in application for education of BUPT (2018Y0403), and the research project of cyberspace school at BUPT.
Conflict of Interest
The authors declare there is no conflict of interest.
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