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Comparing email and SNS users: Investigating e-servicescape, customer reviews, trust, loyalty and E-WOM

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  • Tran, Gina A.
  • Strutton, David

Abstract

For better or worse, satisfied or dissatisfied customers function as trusted branding faces for organizations as they transmit potentially viral messages through E-WOM. These E-WOM messages can prove marketers' best friends or worst enemies, depending on their tenor. With data from actual customers of an e-tailer, this research enriches our understanding of how e-servicescape is linked to E-WOM. E-servicescape captures the online environmental factors of marketers’ websites. Two forms of E-WOM are examined; i.e., emails and social network postings. Customer reviews were investigated as a prospective sub-dimension of e-servicescape. Findings suggest that customer reviews play an integral role in the e-servicescape construct, that e-servicescape positively impacts trust and that trust positively influences E-WOM and customer loyalty. Two groups of customers were compared, and results indicated differences between email and SNS users. Theoretical and managerial insights related to E-WOM and electronic commerce shopping behavior were generated.

Suggested Citation

  • Tran, Gina A. & Strutton, David, 2020. "Comparing email and SNS users: Investigating e-servicescape, customer reviews, trust, loyalty and E-WOM," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    • Handle: RePEc:eee:joreco:v:53:y:2020:i:c:s0969698918307914
    DOI: 10.1016/j.jretconser.2019.03.009
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    7. Fernandes, Semila & Panda, Rajesh & Venkatesh, V.G. & Swar, Biranchi Narayan & Shi, Yangyan, 2022. "Measuring the impact of online reviews on consumer purchase decisions – A scale development study," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    8. Salminen, Joni & Kandpal, Chandrashekhar & Kamel, Ahmed Mohamed & Jung, Soon-gyo & Jansen, Bernard J., 2022. "Creating and detecting fake reviews of online products," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
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    12. Ma, Guanhua & Ma, Junhua & Li, Hao & Wang, Yiming & Wang, Zhaohua & Zhang, Bin, 2022. "Customer behavior in purchasing energy-saving products: Big data analytics from online reviews of e-commerce," Energy Policy, Elsevier, vol. 165(C).
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