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A longitudinal exploration of the relations between electronic word-of-mouth indicators and firms’ profitability: Findings from the banking industry

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  • Tang, Chuanyi
  • Mehl, Matthias R.
  • Eastlick, Mary Ann
  • He, Wu
  • Card, Noel A.

Abstract

Prior research on electronic word-of-mouth (eWOM) has focused on the predictive utility of star ratings. Extending these studies conceptually and methodologically, this paper employed Automatic Text Analysis to investigate the predictive utility of evaluative textual information contained in online reviews. Based on a real-world dataset that matched eWOM with annual financial performance of 68 banks over an eight-year period, this study tested patterns of the bi-directional relations between eWOM indicators and banks’ profitability over time. Results showed that both star ratings and consumers’ verbalized emotions in eWOM significantly predicted increases in firms’ future profitability, which is measured by Return on Assets. Star ratings emerged as a consistent predictor, and their effects lasted for at least two years. Expressed anger predicted lower profitability in the following year and explained additional variance beyond the star ratings. Finally, higher firm profitability was prospectively related to higher star ratings and more verbalized positive feelings in next year’s eWOM.

Suggested Citation

  • Tang, Chuanyi & Mehl, Matthias R. & Eastlick, Mary Ann & He, Wu & Card, Noel A., 2016. "A longitudinal exploration of the relations between electronic word-of-mouth indicators and firms’ profitability: Findings from the banking industry," International Journal of Information Management, Elsevier, vol. 36(6), pages 1124-1132.
    • Handle: RePEc:eee:ininma:v:36:y:2016:i:6:p:1124-1132
    DOI: 10.1016/j.ijinfomgt.2016.03.015
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    References listed on IDEAS

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    1. Gruen, Thomas W. & Osmonbekov, Talai & Czaplewski, Andrew J., 2006. "eWOM: The impact of customer-to-customer online know-how exchange on customer value and loyalty," Journal of Business Research, Elsevier, vol. 59(4), pages 449-456, April.
    2. King, Robert Allen & Racherla, Pradeep & Bush, Victoria D., 2014. "What We Know and Don't Know About Online Word-of-Mouth: A Review and Synthesis of the Literature," Journal of Interactive Marketing, Elsevier, vol. 28(3), pages 167-183.
    3. Folkes, Valerie S, 1984. "Consumer Reactions to Product Failure: An Attributional Approach," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(4), pages 398-409, March.
    4. He, Wu & Zha, Shenghua & Li, Ling, 2013. "Social media competitive analysis and text mining: A case study in the pizza industry," International Journal of Information Management, Elsevier, vol. 33(3), pages 464-472.
    5. Yubo Chen & Jinhong Xie, 2008. "Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix," Management Science, INFORMS, vol. 54(3), pages 477-491, March.
    6. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    7. Sparks, Beverley A. & Perkins, Helen E. & Buckley, Ralf, 2013. "Online travel reviews as persuasive communication: The effects of content type, source, and certification logos on consumer behavior," Tourism Management, Elsevier, vol. 39(C), pages 1-9.
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    Cited by:

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