Abstract
Global retail brands find it vital to engage Generation Y (Gen Y) customers through firm-hosted online brand communities (OBCs) for generating actionable insights; this study advances customer engagement (CE) frameworks in this setting. First, we draw on the stimulus–organism–response (S–O–R) theory to introduce OBC website quality (termed OBC-SiteQUAL), alongside brand involvement as a customer resource input, to shape an expanded quadripartite CE conceptualisation. Second, using multi-country data, we test the validity of the OBC-SiteQUAL and CE measurement models, and the theoretical framework. Results indicate that the newly conceived OBC-SiteQUAL construct, underpinned by various web-based cues related to affective elements, brand interaction and customer-to-customer interaction, positively influences CE, whereas brand involvement partially influences CE. Third, we examine how these variables translate to behavioural loyalty outcomes. Empirically, a consistent pattern across the country samples indicates that OBC-SiteQUAL can affect behavioural loyalty by enhancing CE. Thus, we reliably confirm the mediating effect of CE (O) between OBC-SiteQUAL (S) and behavioural loyalty (R). Fourth, we found that the impact of OBC-SiteQUAL and brand involvement on CE differs between younger and older Gen Y consumers. These findings inform the optimisation of precise digital content marketing activities to enhance customer-brand relationships.
| Original language | English |
|---|---|
| Article number | 102252 |
| Pages (from-to) | 1-16 |
| Number of pages | 16 |
| Journal | International Journal of Information Management |
| Volume | 56 |
| DOIs | |
| Publication status | Published - Feb 2021 |
Keywords
- Social media
- Brand community
- Site quality
- Customer engagement
- Loyalty
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Dive into the research topics of 'Engaging Gen Y customers in online brand communities: A cross-national assessment'. Together they form a unique fingerprint.Projects
- 1 Finished
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Generation Y customer engagement in social media
Carlson, J. (Primary Chief Investigator), Rahman, S. (Chief Investigator), Rahman, M. M. (Chief Investigator), Voola, R. (Associate Investigator) & Wyllie, J. (Associate Investigator)
21/11/18 → 12/10/20
Project: Research
Press/Media
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Expert comment on how to interpret/report PLS-SEM results
6/10/20
1 Media contribution
Press/Media: Expert Comment
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