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Causal recipes of customer loyalty in a sharing economy: Integrating social media analytics and fsQCA

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  • Lee, Carmen Kar Hang
  • Tse, Ying Kei
  • Leung, Eric Ka Ho
  • Wang, Yichuan

Abstract

Built on the evolutionary stimulus-organism-response model, this study examines how customer encounters with different interaction mechanisms (stimuli) evoke service-quality perceptions and sentiments (organisms) that impact customer loyalty (responses) to accommodation-sharing services. It draws important service-quality dimensions and sentiments from Airbnb reviews and examines which patterns lead to the highest levels of customer loyalty. It is the first study to integrate social media analytics and fuzzy-set Qualitative Comparative Analysis to explain the attitudinal and behavioral components of customer loyalty. A distinctive aspect of the findings is the prescriptive causal recipes that allow hosts to prioritize certain resources, focusing more on the key dimensions (order winners) that most affect customer loyalty. The findings also show that configurations leading to high-level attitudinal loyalty differ from those leading to high-level behavioral loyalty in accommodation sharing.

Suggested Citation

  • Lee, Carmen Kar Hang & Tse, Ying Kei & Leung, Eric Ka Ho & Wang, Yichuan, 2024. "Causal recipes of customer loyalty in a sharing economy: Integrating social media analytics and fsQCA," Journal of Business Research, Elsevier, vol. 181(C).
    • Handle: RePEc:eee:jbrese:v:181:y:2024:i:c:s0148296324002510
    DOI: 10.1016/j.jbusres.2024.114747
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    References listed on IDEAS

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    1. Kim, Nooree & Park, Yuri & Lee, Daeho, 2019. "Differences in consumer intention to use on-demand automobile-related services in accordance with the degree of face-to-face interactions," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 277-286.
    2. Lin, Hongxia & Zhang, Meng & Gursoy, Dogan & Fu, Xiaorong, 2019. "Impact of tourist-to-tourist interaction on tourism experience: The mediating role of cohesion and intimacy," Annals of Tourism Research, Elsevier, vol. 76(C), pages 153-167.
    3. Zhu, Yunxia & Cheng, Mingming & Wang, Jie & Ma, Laikun & Jiang, Ruochen, 2019. "The construction of home feeling by Airbnb guests in the sharing economy: A semantics perspective," Annals of Tourism Research, Elsevier, vol. 75(C), pages 308-321.
    4. Bigne, Enrique & Chatzipanagiotou, Kalliopi & Ruiz, Carla, 2020. "Pictorial content, sequence of conflicting online reviews and consumer decision-making: The stimulus-organism-response model revisited," Journal of Business Research, Elsevier, vol. 115(C), pages 403-416.
    5. Ian Sutherland & Kiattipoom Kiatkawsin, 2020. "Determinants of Guest Experience in Airbnb: A Topic Modeling Approach Using LDA," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    6. Daniel Guttentag, 2015. "Airbnb: disruptive innovation and the rise of an informal tourism accommodation sector," Current Issues in Tourism, Taylor & Francis Journals, vol. 18(12), pages 1192-1217, December.
    7. Woodside, Arch G., 2014. "Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities," Journal of Business Research, Elsevier, vol. 67(12), pages 2495-2503.
    8. Su, Lujun & Swanson, Scott R., 2017. "The effect of destination social responsibility on tourist environmentally responsible behavior: Compared analysis of first-time and repeat tourists," Tourism Management, Elsevier, vol. 60(C), pages 308-321.
    9. Cervelló-Royo, Roberto & Moya-Clemente, Ismael & Perelló-Marin, M. Rosario & Ribes-Giner, Gabriela, 2022. "A configurational approach to a country’s entrepreneurship level: Innovation, financial and development factors," Journal of Business Research, Elsevier, vol. 140(C), pages 394-402.
    10. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
    11. Leischnig, Alexander & Kasper-Brauer, Kati, 2015. "Employee Adaptive Behavior in Service Enactments," Journal of Business Research, Elsevier, vol. 68(2), pages 273-280.
    12. Mehran, Javaneh & Olya, Hossein GT., 2020. "Canal boat tourism: Application of complexity theory," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    Full references (including those not matched with items on IDEAS)

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