Unpacking the impact of social media analytics on customer satisfaction: Do external stakeholder characteristics matter?

Yichuan Wang, Minhao Zhang, Ying Kei Tse, Hing Kai Chan

Research output: Contribution to journalArticle (Academic Journal)peer-review

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Abstract

Purpose: Underpinned by the lens of Contingency Theory (CT), the purpose of this paper is to empirically evaluate whether the impact of social media analytics (SMA) on customer satisfaction (CS) is contingent on the characteristics of different external stakeholders, including business partners (i.e. partner diversity), competitors (i.e. localised competition) and customers (i.e. customer engagement).

Design/Methodology/Approach: Using both subjective and objective measures from multiple sources, we collected primary data from 141 hotels operating in Greece and their archival data from TripAdvisor and the Hellenic Chamber of Hotels (HCH) database to test the hypothesised relationships. Data were analysed through structural equation modelling.

Findings: This study confirms the positive association between SMA and CS, but it remains subject to the varied characteristics of external stakeholders. We find that an increase in CS due to the implementation of SMA is more pronounced for firms that (1) adopt a selective distribution strategy where a limited number of business partners are chosen for collaboration or (2) operate in a highly competitive local environment. The results further indicate the high level of customer engagement amplify moderating effect of partner diversity (when it is low) and localised competition (when it is high) on the SMA–CS relationship.

Originality/Value: The study provides novel insights for managers on the need to consider external stakeholder characteristics when implementing SMA to enhance firms’ CS, and for researchers on the value of studying SMA implementation from the CT perspective.
Original languageEnglish
Pages (from-to)647-669
Number of pages23
JournalInternational Journal of Operations and Production Management
Volume40
Issue number5
DOIs
Publication statusPublished - 17 Jun 2020

Keywords

  • Social media analytics
  • Contingency theory
  • Service operations
  • Customer satisfaction

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