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A process model for identifying online customer engagement patterns on Facebook brand pages

Vidyasagar Potdar (School of Information Systems, Curtin University, Perth, Australia)
Sujata Joshi (Symbiosis Institute of Telecom Management, Symbiosis International University, Pune, India)
Rahul Harish (School of Information Systems, Curtin University, Perth, Australia)
Richard Baskerville (Department of Computer Information Systems, Georgia State University, Atlanta, Georgia, USA) (School of Information Systems, Curtin University, Perth, Australia)
Pornpit Wongthongtham (School of Information Systems, Curtin University, Perth, Australia)

Information Technology & People

ISSN: 0959-3845

Article publication date: 3 April 2018

2808

Abstract

Purpose

The purpose of this paper is to develop and empirically test a process model (comprising of seven dimensions), for identifying online customer engagement patterns leading to recommendation. These seven dimensions are communication, interaction, experience, satisfaction, continued involvement, bonding, and recommendation.

Design/methodology/approach

The authors used a non-participant form of netnography for analyzing 849 comments from Australian banks Facebook pages. High levels of inter-coder reliability strengthen the study’s empirical validity and ensure minimum researcher bias and maximum reliability and replicability.

Findings

The authors identified 22 unique pattern of customer engagement, out of which nine patterns resulted in recommendation/advocacy. Engagement pattern communication-interaction-recommendation was the fastest route to recommendation, observed in nine instances (or 2 percent). In comparison, C-I-E-S-CI-B-R was the longest route to recommendation observed in ninety-six instances (or 18 percent). Of the eight patterns that resulted in recommendation, five patterns (or 62.5 percent) showed bonding happening before recommendation.

Research limitations/implications

The authors limited the data collection to Facebook pages of major banks in Australia. The authors did not assess customer demography and did not share the findings with the banks.

Practical implications

The findings will guide e-marketers on how to best engage with customers to enhance brand loyalty and continuously be in touch with their clients.

Originality/value

Most models are conceptual and assume that customers typically journey through all the stages in the model. The work is interesting because the empirical study found that customers travel in multiple different ways through this process. It is significant because it changes the way the authors understand patterns of online customer engagement.

Keywords

Citation

Potdar, V., Joshi, S., Harish, R., Baskerville, R. and Wongthongtham, P. (2018), "A process model for identifying online customer engagement patterns on Facebook brand pages", Information Technology & People, Vol. 31 No. 2, pp. 595-614. https://doi.org/10.1108/ITP-02-2017-0035

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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