Beyond the dyadic: customer engagement in increasingly networked environments

Linda D. Hollebeek (Department of Marketing, Montpellier Business School, Montpellier, France) (Center for Service Innovation, Norges Handelshoyskole, Bergen, Norway)
Elina Jaakkola (Department of Marketing, Turku School of Economics, University of Turku, Turku, Finland)
Matthew Alexander (Department of Marketing, Strathclyde Business School, University of Strathclyde, Glasgow, UK)

Journal of Service Management

ISSN: 1757-5818

Article publication date: 19 June 2018

Issue publication date: 19 June 2018

3266

Citation

Hollebeek, L.D., Jaakkola, E. and Alexander, M. (2018), "Beyond the dyadic: customer engagement in increasingly networked environments", Journal of Service Management, Vol. 29 No. 3, pp. 330-332. https://doi.org/10.1108/JOSM-05-2018-410

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited


Beyond the dyadic: customer engagement in increasingly networked environments

In recent years, marketing is witnessing a paradigm shift where traditional boundaries between customer and provider roles are blurring, and markets are becoming increasingly interconnected (Hollebeek and Andreassen, 2018; Alexander and Jaakkola, 2016). That is, contemporary customers are no longer simply fulfilling passive end-user roles in relation to firm-based offerings, but are proactively contributing to their interactions with brands, firms and other stakeholders (Baumöl et al., 2016; Sasser et al., 2014). Through these interactions, customers are therefore increasingly engaged in shaping firms’ offerings and cocreating value. Customers’ various activities and behaviors that extend beyond traditional buyer/user roles are captured by the overarching term of customer engagement (CE), which has gained traction in the last decade (Hollebeek et al., 2016, 2018). To date, CE’s literature-based advancement is evidenced through the development of CE conceptualizations (Brodie et al., 2011), measurement instruments (Hollebeek et al., 2014) and insight regarding CE’s role in broader nomological networks or contexts (Kumar and Pansari, 2016; Brodie et al., 2013, 2016). While CE’s reciprocal, social nature, as well as its contribution to value creation at a systemic level has been identified (Jaakkola and Alexander, 2014), an understanding of engagement-related dynamics in settings that extend beyond the customer/firm dyad remain elusive, as explored in this special issue.

By means of a stepwise exercise of zooming out, our first paper by Alexander et al. (2018) introduces a multi (micro, meso, macro)-level perspective on actor engagement, in particular highlighting the role of institutions in influencing engagement. The paper also argues that actors’ multiple roles generate a need for individuals’ role-balancing activity, which can result in disengagement behavior (e.g. for actors’ lower-priority roles). The role of reference groups and role conflict associated with actors’ multiple role balancing is also highlighted as critical to understanding why engaged actor proclivities may wax and wane in particular contexts.

Second, Keeling et al. (2018) investigate the evolving roles and structures of triadic engagement by conceptualizing the concept against a two-level framework in healthcare. The authors first identify the structure of triadic consultations in terms of the human voice, virtual voice and networked voice, which are subsequently related to companions’ contributions to discussions and virtual network impact. Second, actors’ evolving roles are linked to three phases of transformation, including enhancement, empowerment and emancipation.

Third, Viswanathan et al. (2018) explore the dynamics between social media engagement, firm-generated content and live/time-shifted television viewing. They find that advertising efforts initiated by the TV show have a positive effect on time-shifted viewing, yet a negative effect on live viewing. Second, the authors report that tweets posted by the TV show have a negative effect on time-shifted viewing, but no effect on live viewing. Finally, the authors observe that while tweets posted by viewers reduce time-shifted viewing, these serve to increase live viewing.

Fourth, Jonas et al. (2018) explore stakeholder engagement in the context of B2B intra- and interorganizational innovation. In this context, they identify eight stakeholder engagement antecedents that drive innovation. Their empirical study also shows how individual and organizational stakeholder engagement is influenced by friendship, common experiences, self-representation, trust, common goals, resource dependency, level in the hierarchy, institutional arrangements and local proximity.

Fifth, Sim et al. (2018) explore service system-based engagement through a fuzzy set analysis in the higher education context. As multiple engagement foci exist in service systems, this paper examines the interdependence among these foci. The authors identify five solutions, each with a different constellation of engagement dimensions, with cognitive processing emerging as a core condition for each of these solutions. This finding suggests service providers should seek to engage with consumers particularly from a cognitive perspective.

Sixth, Fehrer et al. (2018) explore the dynamics of CE within the dyad and beyond. Through an experimental design, the study shows that CE does not emerge per se in dyadic customer/brand interactions in a utilitarian service setting. Therefore, for high engagement behavior to occur, incentives and ties to other network actors are essential. The findings also suggest that engagement behavior must overcome a certain intensity threshold to unfold its effect.

Seventh, Azer and Alexander (2018) conceptualize negatively valenced influencing behavior and explore its forms and triggers. Through data collected from negatively valenced online reviews, the authors identify relationships between cognitive and emotional triggers of six forms of direct and indirect negatively valenced influencing behaviors.

Eighth, Li et al. (2018) develop a set of propositions that posit that actors’ past, current and future psychological dispositions can shift between positive, negative and ambivalent valences. They also find that actor engagement valence is triggered by other service system actors’ engagement objects and value propositions. Actor engagement valence antecedents comprise individual factors (e.g. cognitive evaluations) and network-related factors (e.g. social norms).

We are thrilled about this special issue, and thank our contributing authors, reviewers and the Journal of Service Management for supporting our initiative. We also hope it will spark discussion and debate within your communities and encourage the undertaking of further research in this important and growing area.

References

Alexander, M. and Jaakkola, E. (2016), “Customer engagement behaviours and value co-creation”, in Brodie, R., Hollebeek, L. and Conduit, J. (Eds), Customer Engagement: Contemporary Issues and Challenges, pp. 3-20.

Alexander, M., Jaakkola, E. and Hollebeek, L. (2018), “Zooming out: actor engagement beyond the dyadic”, Journal of Service Management, Vol. 29 No. 3, pp. 333-351.

Azer, J. and Alexander, M. (2018), “Conceptualizing negatively-valenced influencing behavior: forms and triggers”, Journal of Service Management, Vol. 29 No. 3, pp. 468-490.

Baumöl, U., Hollebeek, L. and Jung, R. (2016), “Dynamics of customer interaction on social media platforms”, Electronic Markets, Vol. 26 No. 3, pp. 199-202.

Brodie, R., Hollebeek, L., Juric, B. and Ilic, A. (2011), “Customer engagement: conceptual domain, fundamental propositions, and implications for research”, Journal of Service Research, Vol. 14 No. 3, pp. 252-271.

Brodie, R., Ilic, A., Juric, B. and Hollebeek, L. (2013), “Consumer engagement in a virtual brand community: an exploratory analysis”, Journal of Business Research, Vol. 66 No. 1, pp. 105-114.

Brodie, R., Fehrer, J., Jaakkola, E., Hollebeek, L. and Conduit, J. (2016), “From customer to actor engagement”, 45th European Marketing Academy Conference, Oslo, May 24-27.

Fehrer, J.A., Woratschek, H., Germelmann, C.C. and Brodie, R.J. (2018), “Dynamics and drivers of customer engagement: within the dyad and beyond”, Journal of Service Management, Vol. 29 No. 3, pp. 443-467.

Hollebeek, L. and Andreassen, T. (2018), “The S-D logic-informed ‘hamburger’ model of service innovation and its implications for engagement and value”, Journal of Services Marketing, Vol. 32 No. 1, pp. 1-7.

Hollebeek, L., Glynn, M. and Brodie, R. (2014), “Consumer brand engagement in social media: conceptualization, scale development and validation”, Journal of Interactive Marketing, Vol. 28 No. 2, pp. 149-165.

Hollebeek, L., Srivastava, R. and Chen, T. (2016), “S-D logic-informed customer engagement: Integrative framework, revised fundamental propositions, and application to CRM”, Journal of the Academy of Marketing Science, doi: 10.1007/s11747-016-0494-5.

Hollebeek, L.D., Andreassen, T., Smith, D., Grӧnquist, K.A. and Marquez, A. (2018), “Epilogue – service innovation actor engagement: an integrative model”, Journal of Services Marketing, Vol. 32 No. 1, pp. 95-100.

Jaakkola, E. and Alexander, M. (2014), “The role of customer engagement behavior in value co-creation: a service system perspective”, Journal of Service Research, Vol. 17 No. 3, pp. 247-261.

Jonas, J.M., Boha, J., Sörhammar, D. and Moeslein, K.M. (2018), “Stakeholder engagement in intra- and interorganizational innovation – exploring antecedents of engagement in service ecosystems”, Journal of Service Management, Vol. 29 No. 3, pp. 399-421.

Keeling, D.I., Laing, A. and De Ruyter, K. (2018), “Evolving roles and structures of triadic engagement in healthcare”, Journal of Service Management, Vol. 29 No. 3, pp. 352-377.

Kumar, V. and Pansari, A. (2016), “Competitive advantage through engagement”, Journal of Marketing Research, Vol. 53 No. 4, pp. 497-514.

Li, L., Juric, B. and Brodie, R. (2018), “Actor engagement valence: conceptual foundations, propositions and research directions”, Journal of Service Management, Vol. 29 No. 3, pp. 491-516.

Sasser, S., Kilgour, M. and Hollebeek, L.D. (2014), “Marketing in an interactive world: the evolving nature of communication processes using social media”, in Lertwachera, K. and Ayanso, A. (Eds), Harnessing the Power of Social Media and Web Analytics: Techniques, Tools, and Applications, IGI Global, New York, NY, pp. 29-52.

Sim, M., Conduit, J. and Plewa, C. (2018), “Engagement within a service system: a fuzzy set analysis in a higher education setting”, Journal of Service Management, Vol. 29 No. 3, pp. 422-442.

Viswanathan, V., Malthous, E.C., Maslowska, E., Hoornaert, S. and Van den Poel, D. (2018), “Dynamics between social media engagement, firm generated content, live and time-shifted TV viewing”, Journal of Service Management, Vol. 29 No. 3, pp. 378-398.

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