Customer–brand engagement and Facebook fan-page “Like”-intention

2017 ◽  
Vol 26 (2) ◽  
pp. 120-134 ◽  
Author(s):  
Tilo Halaszovich ◽  
Jacques Nel
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Design Methodology ◽  
Three Dimensions ◽  
Brand Trust ◽  
Brand Relationships ◽  
Content Type ◽  
Brand Engagement ◽  
Equation Modelling ◽  
Conditional Effects

Purpose The potential outcomes of social media-facilitated customer–brand relationships have prompted many firms to develop strategies that would enable them to connect with as many customers as possible through social media. Nevertheless, the marketing value of these artificial connections is questionable. Therefore, this paper aims to identify determinants of customers’ intention to connect with a brand on social media (i.e. Facebook) in the absence of “pull-strategies”. Design/methodology/approach In this paper, the concept of customer–brand engagement (CBE) is applied to the intentions to “Like” a brand’s Facebook fan page using structural equation modelling. Findings The results show that the three dimensions of CBE collectively explain about 50 per cent of the intentions to “Like” a brand’s Facebook fan page. Additionally, the results show that the influences of two of the CBE dimensions on the two “Like”-intentions are conditional effects of brand trust. Originality/value Because of the novelty of the CBE construct, further investigation of its application in a social media setting is lacking. To address this gap in the literature, the purpose of this paper is to investigate how CBE influences customers’ intention to “Like” a brand’s Facebook page.

Examining drivers and outcomes of social media brand engagement

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Civilai Leckie ◽  
Abhishek Dwivedi ◽  
Lester Johnson
Keyword(s):  
Social Media ◽  
Consumer Satisfaction ◽  
Structural Equation ◽  
Online Survey ◽  
Perceived Value ◽  
Brand Trust ◽  
Consumer Engagement ◽  
Content Type ◽  
Brand Engagement ◽  
Brand Congruence

PurposeThis study empirically examines a set of drivers (i.e. social media involvement, self-brand congruence, firm image and relationship age) of consumers’ social media brand engagement (SMBE), which subsequently influences consumer outcomes (i.e. consumer satisfaction, brand trust and perceived value).Design/methodology/approachData were collected using a self-administered online survey of 340 social media users. Structural equation modelling was employed to test the conceptual model.FindingsFindings indicate that social media involvement, self-brand congruence and firm image are significant drivers of SMBE, while relationship age is not. SMBE subsequently impacts consumer satisfaction, brand trust and perceived value.Research limitations/implicationsThis study contains some limitations associated with cross-sectional research. It does not investigate consumer engagement with other entities (e.g. other commercial brands) through the use of social media.Practical implicationsThese findings call for marketing managers and social media brand managers to pay attention and invest resources in the significant drivers of SMBE. They also provide insights on enhancing SMBE to strengthen consumer–brand relationships.Originality/valueBased on consumer–brand relationship marketing and consumer psychology of brands, this study investigates brand-related relational drivers and outcomes of SMBE, thereby deepening understanding of consumer engagement in digital environments.

Determinants of voting avoidance On mobile social media: evidence from WeChat in China

Kybernetes ◽  
2019 ◽  
Vol 49 (5) ◽  
pp. 1445-1464
Author(s):  
Shengliang Zhang ◽  
Yuan Chen ◽  
Xiaodong Li ◽  
Guowei Dou
Keyword(s):  
Social Media ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Design Methodology ◽  
Mobile User ◽  
Content Type ◽  
Role Expectation ◽  
Equation Modelling ◽  
Proposed Model ◽  
Expectation Theory

Purpose The purpose of this study is to use role expectation theory to identify potential determinants of user voting avoidance on mobile social media. Design/methodology/approach Data were collected through a survey of 602 WeChat users, and the proposed model was analysed using structural equation modelling. Findings Results indicate that user voting avoidance was positively influenced by unfair competition, perceived inauthenticity, perceived information insecurity, over-consumption of renqing (a unique Chinese human relation) and organisation placement in the context of mobile social media. Originality/value This study illustrates mobile user voting avoidance from the perspective of role expectation theory and clarifies the importance of avoidance in current voting research.

scholarly journals Antecedents and consequences of luxury brand engagement in social media

2019 ◽  
Vol 23 (2) ◽  
pp. 163-183 ◽  
Author(s):  
Amélia Brandão ◽  
Eva Pinho ◽  
Paula Rodrigues
Keyword(s):  
Social Media ◽  
Cognitive Processing ◽  
Structural Equation ◽  
Positive Impact ◽  
Consumer Involvement ◽  
Three Dimensions ◽  
Online Questionnaire ◽  
Content Type ◽  
Luxury Brand ◽  
Brand Engagement

Purpose The purpose of this study is to analyse the antecedent (Consumer Involvement) and the consequences (Brand Connection and Brand Usage Intent [BUI]) of the three dimensions of Consumer Brand Engagement (CBE) (Cognitive Processing, Affection and Activation) in luxury brand engagement on Facebook. Design/methodology/approach Data were collected through an online questionnaire completed by fans/followers of luxury brands’ Facebook pages. The empirical study was conducted using structural equation modelling. Findings Consumer Involvement has a positive impact on the three dimensions of CBE (Cognitive Processing, Affection and Activation). This leads to the conclusion that Activation and Affection have an impact both on Self-Brand Connection and on BUI. Moreover, it was found that Cognitive Processing impacts only on BUI. Practical implications The results identified the factors which brand managers should focus on to increase CBE on Facebook. Originality/value This study is a pioneer, as it extends the consumer engagement model to the social media context in a hedonic and conspicuous consumption category which includes luxury brand products.

Path analysis for proposed framework of SCM excellence in Indian manufacturing industry

2016 ◽  
Vol 27 (4) ◽  
pp. 577-611 ◽  
Author(s):  
Gunjan Soni ◽  
Rambabu Kodali
Keyword(s):  
Supply Chain ◽  
Path Analysis ◽  
Structural Equation ◽  
Design Methodology ◽  
Manufacturing Industry ◽  
Structural Models ◽  
Statistical Testing ◽  
Model Fit ◽  
Content Type ◽  
Equation Modelling

Purpose – Several authors in extant literature have shown concern towards lacuna in availability of standard constructs in supply chain management (SCM). These standard constructs can represent pillars of SCM excellence. However, frameworks on SCM excellence unlike its contemporary fields are very few. Thus the purpose of this paper is to develop a path analysis for proposed framework of SCM excellence in Indian manufacturing industry proposed by Soni and Kodali (2014) using interpretive structural modelling (ISM) and structural equation modelling (SEM). Design/methodology/approach – The ISM is performed on two exemplary cases of supply chain in Indian manufacturing industry. These cases were selected on the consideration of supply chain excellence index (SCEI), based on the results of an empirical study conducted by Soni and Kodali (2014) in Indian manufacturing industry. The focal manufacturing company which exhibited lowest and highest SCEI were selected as contenders for developing ISM. The relationships among pillars and constructs of SCM excellence framework are obtained from ISM, and later are subjected to statistical testing of model fit by using SEM. The input to SEM was the respondent’s data used in previous study. Findings – The major findings revealed that ISM based on focal company having highest SCEI, is statistically fit for SCM excellence framework, and finally the structural models of the constructs for each pillar of SCM excellence are also formed by using path analysis. Originality/value – The study offers a unique managerial approach for analysing the underlying relationships between pillars of SCM excellence. Researchers can use this study for developing frameworks in various realms of SCM excellence.

Antecedents and consequences of trust: an e-tail branding perspective

2016 ◽  
Vol 44 (7) ◽  
pp. 713-730 ◽  
Author(s):  
Gopal Das
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Design Methodology ◽  
Brand Management ◽  
Online Shopping ◽  
Content Type ◽  
Equation Modelling ◽  
Managerial Implications ◽  
Antecedents And Consequences ◽  
Structured Questionnaire

Purpose – The purpose of this paper is to examine the antecedents and consequences of trust in online shopping from an e-tail branding perspective. Design/methodology/approach – A structured questionnaire was used to collect data online from Indian e-tail shoppers (n=309). A structural equation modelling (CB-SEM approach) was used to analyse the data. Findings – The results found e-tailer awareness, e-tailer associations, and e-tailer perceived quality as antecedents of trust in online shopping. The results also showed online trust positively influences the behavioural intentions, namely, purchase intention, repurchase, and recommendation. Originality/value – This study examines the applicability and branding and brand management principles in an e-tail branding context. Theoretical and managerial implications of these results are further discussed.

Self-disclosure of social media users in Indonesia: the influence of personal and social media factors

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mona Natasha Siahaan ◽  
Putu Wuri Handayani ◽  
Fatimah Azzahro
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Service Providers ◽  
Age Groups ◽  
Emotional Needs ◽  
Self Disclosure ◽  
Content Type ◽  
Social And Emotional ◽  
Equation Modelling ◽  
Group Data

PurposeIn the context of social media (SM) use, self-disclosure (SD) behaviour meets users' social and emotional needs, but it is also accompanied by risks that can harm users. This paper aims to identify the factors that influence users' SD behaviour on SM in Indonesia, using a comparative analysis based on age groups.Design/methodology/approachA survey was conducted on 2,210 respondents who were active SM users in Indonesia. Data were processed and analysed using covariance-based structural equation modelling with AMOS 24.0 software.FindingsResults indicate that, in the overall age group data, factors such as use of information (UI), trust, privacy control (PC), interactivity, perceived benefits (PB) and perceived risks (PR) influence users' SD behaviour. This research also found differences in the characteristics of SD behaviour between age groups.Originality/valueFindings from this study can help SM service providers to evaluate the credibility and reliability of their platforms to encourage user retention.

The effect of supply chain responsiveness on customer development

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
David Asamoah ◽  
Dorcas Nuertey ◽  
Benjamin Agyei-Owusu ◽  
Joseph Akyeh
Keyword(s):  
Supply Chain ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Design Methodology ◽  
Content Type ◽  
Logistics Systems ◽  
Equation Modelling ◽  
Logistics Process ◽  
Operations Systems ◽  
Customer Development

PurposeThe study examines how supply chain responsiveness (logistics process responsiveness, operations systems responsiveness and supplier network responsiveness) impacts the ability of firms to attract, satisfy and retain customers.Design/methodology/approachUsing a quantitative approach, a total of 250 questionnaires were distributed to firms in the Kumasi metropolis in the Ashanti Region of Ghana, with 100 useable responses retrieved. The effect of supply chain responsiveness on customer development was analysed using partial least squares structural equation modelling.FindingsThe findings showed that operations systems responsiveness and supplier network responsiveness drive the logistics systems responsiveness of firms as hypothesized. It was also revealed that operations systems responsiveness and logistics process responsiveness enhanced customer development, but supplier network responsiveness did not. Logistics process responsiveness additionally partially mediated the effect of operations systems responsiveness on customer development.Originality/valueTo the best of the researchers' knowledge, no previous studies have empirically examined interrelationships between the dimensions of supply chain responsiveness. Additionally, no previous study has examined the effect of supply chain responsiveness on customer development.

A persuasive eWOM model for increasing consumer engagement on social media: evidence from Irish fashion micro-influencers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zheng Shen
Keyword(s):  
Social Media ◽  
Design Methodology ◽  
Relevant Literature ◽  
Consumer Participation ◽  
Marketing Communication ◽  
Consumer Engagement ◽  
Brand Relationships ◽  
Content Type ◽  
Consumer Interactions ◽  
The Relationship

Purpose This study aims to find how can fashion micro-influencers and their electronic word-of-mouth (eWOM) messages increase consumer engagement on social media, focusing on micro-influencers’ influence, typology, eWOM content and consumer engagement. Design/methodology/approach A total of 20,000 microblogs were collected from Irish fashion micro-influencers and analyzed through keyword classification and content analysis in NVivo. The determinants of eWOM persuasiveness for consumer engagement on social media were investigated based on Sussman and Siegal’s information adoption model. Findings The study finds that among the four types of micro-influencers, market mavens and their eWOM messages have the highest impact on consumer engagement on social media, and it presents a repetitive and persuasive eWOM model of market mavens to increase consumer participation. Also, the study discovers that micro-influencers’ occasion-related microblogs have an increasing impact on consumer interactions whereas microblogs with brands have a decreasing engagement with consumers on social media. Originality/value This study advances prior studies on the relationship between influencers’ eWOM messages and consumer participation on social media by the development of a persuasive eWOM model of micro-influencers to increase consumer engagement and fill in the lack of relevant literature. Also, findings provide actionable insights for marketing communication practitioners to persuade consumers to participate in eWOM communications and establish strong consumer-brand relationships on social media.

Exploring the nexus of social media influencers and consumer brand engagement

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Man Lai Cheung ◽  
Wilson K.S. Leung ◽  
Morgan X. Yang ◽  
Kian Yeik Koay ◽  
Man Kit Chang
Keyword(s):  
Social Media ◽  
Social Interaction ◽  
Information Seeking ◽  
Structural Equation ◽  
Motivational Factors ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Consumer Engagement ◽  
Content Type ◽  
The Impact

PurposeGrounded in uses and gratification theory (UGT) and observational learning theory (OLT), this study aims to understand the impact of motivational factors on consumer-influencer engagement behaviors (CIEBs). Motivating factors, including entertainment, information seeking, reward and social interaction, are regarded as antecedents of consumers' OLT, as manifested by CIEB dimensions, including consumption, contribution and creation, and subsequently drive consumer engagement with the endorsed brands.Design/methodology/approachA self-administered questionnaire was distributed to Malaysian social media users. A total of 263 responses were collected and analyzed using partial least squares structural equation modeling (PLS-SEM) to examine the impact of motivational factors on CIEBs.FindingsThe results show that the three dimensions of CIEBs can be predicted by different gratifications (information seeking, entertainment, reward and interaction). In addition, two of the CIEB dimensions, consumption and contribution, were found to have a significant positive influence on consumers' engagement with endorsed brands.Practical implicationsThis study provides insights into how social media influencers (SMIs) could lead to CIEBs by creating entertaining and rewarding content that facilitates social interaction between consumers. SMIs and marketers that encourage consumers to browse, comment and share SMI-created posts will enhance consumer engagement with the endorsed brands, as engagement is driven by the consumption and contribution to SMI-created content.Originality/valueSMI marketing is increasing, and many brands are beginning to rely more on SMIs to promote brands. Yet, there is a dearth of studies that have examined how SMIs play a role in affecting consumers' engagement with endorsed brands. This study contributes to the marketing literature by developing and empirically testing the research model. Results suggest that social interaction, reward and entertainment are key motivational factors that drive CIEBs, which, in turn, foster consumer engagement with endorsed brands.

scholarly journals Unveiling heterogeneous engagement-based loyalty in brand communities

2019 ◽  
Vol 53 (9) ◽  
pp. 1854-1881 ◽  
Author(s):  
Laurence Dessart ◽  
Joaquín Aldás-Manzano ◽  
Cleopatra Veloutsou
Keyword(s):  
Brand Loyalty ◽  
Structural Equation ◽  
Brand Community ◽  
Community Members ◽  
Content Type ◽  
Brand Communities ◽  
Brand Engagement ◽  
Equation Modelling ◽  
Behavioural Engagement ◽  
Practical Implications

Purpose Although recent research appreciates that consumers increasingly interact with brands in brand communities and that brand engagement is an important and complex phenomenon in brand communities, little is known about the nature of individuals’ brand engagement in brand communities. This study aims to identify brand community members’ segments in terms of their brand engagement within the community; help us understand if these segments use a different approach in the development of brand loyalty; and develop mechanisms that can be used to identify members of these segments. Design/methodology/approach The paper adopts a quantitative approach and uses a total of 970 responses from members of Facebook brand pages in three popular languages on Facebook (English, French and Spanish). Data are analysed with structural equation modelling, integrating FIMIX-PLS and POS-PLS. Findings The results reveal that cognitive, affective and behavioural engagement dimensions play a different role in driving brand loyalty. Three different segments of engaged consumers exist (emotional engagers, thinkers and active engagers). Variables related to the perceived value of the brand community provide initial explanations as to the differences of the consumer groups. Research limitations/implications The data were collected from a specific type of brand communities (Facebook-based, company-managed brand communities) and are self-reported. Practical implications This work demonstrates the heterogeneity of brand community members in terms of their brand engagement profile and the effect of this profile on the formation of behavioural brand loyalty. Suggestions on identifying members of these segments based on the value that they get from the community are offered. Originality/value This work extends the brand engagement and brand community literature. It is the first work that provides this nature of actionable suggestions to the teams supporting brands with brand communities.

Sign in / Sign up

Export Citation Format

Share Document