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Measuring and comparing service quality metrics through social media analytics: a case study

Author

Listed:
  • Wu He

    (Old Dominion University)

  • Xin Tian

    (Old Dominion University)

  • Andy Hung

    (Boise State University)

  • Vasudeva Akula

    (VOZIQ Company)

  • Weidong Zhang

    (Jilin University)

Abstract

This paper proposes a framework of using social media analytics to help study service quality. A case study was conducted to collect and analyze a data set which included nearly half million tweets related to two of the largest supermarkets in the United States: Walmart and Kmart. The results illustrate how businesses can leverage external open data to complement the traditional survey-based approaches in order to better understand and measure their service quality metrics by studying the online opinions of their customers.

Suggested Citation

  • Wu He & Xin Tian & Andy Hung & Vasudeva Akula & Weidong Zhang, 2018. "Measuring and comparing service quality metrics through social media analytics: a case study," Information Systems and e-Business Management, Springer, vol. 16(3), pages 579-600, August.
    • Handle: RePEc:spr:infsem:v:16:y:2018:i:3:d:10.1007_s10257-017-0360-0
    DOI: 10.1007/s10257-017-0360-0
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    References listed on IDEAS

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    1. Mike Thelwall & Kevan Buckley & Georgios Paltoglou, 2011. "Sentiment in Twitter events," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(2), pages 406-418, February.
    2. Olgun Kitapci & Ibrahim Taylan Dortyol & Zührem Yaman & Mustafa Gulmez, 2013. "The paths from service quality dimensions to customer loyalty," Management Research Review, Emerald Group Publishing Limited, vol. 36(3), pages 239-255, March.
    3. A Mukherjee & P Nath & M Pal, 2003. "Resource, service quality and performance triad: a framework for measuring efficiency of banking services," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(7), pages 723-735, July.
    4. Thaichon, Paramaporn & Lobo, Antonio & Prentice, Catherine & Quach, Thu Nguyen, 2014. "The development of service quality dimensions for internet service providers: Retaining customers of different usage patterns," Journal of Retailing and Consumer Services, Elsevier, vol. 21(6), pages 1047-1058.
    5. Mike Thelwall & Kevan Buckley & Georgios Paltoglou, 2011. "Sentiment in Twitter events," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(2), pages 406-418, February.
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    Cited by:

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    2. Zachlod, Cécile & Samuel, Olga & Ochsner, Andrea & Werthmüller, Sarah, 2022. "Analytics of social media data – State of characteristics and application," Journal of Business Research, Elsevier, vol. 144(C), pages 1064-1076.
    3. Seddigh, Mohammad Reza & Targholizadeh, Aida & Shokouhyar, Sajjad & Shokoohyar, Sina, 2023. "Social media and expert analysis cast light on the mechanisms of underlying problems in pharmaceutical supply chain: An exploratory approach," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

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