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Customer involvement and perceptions: The moderating role of customer co-production

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  • Cheung, Millissa F.Y.
  • To, W.M.

Abstract

This study examines customer-specific antecedents of perceived service performance. Based on a review of the consumer services literature, we propose a theoretical model that links customer involvement to perceived service performance and identify the moderating role of co-production on the relationship. This model was tested on responses from 349 Chinese bank customers using hierarchical regression analysis. The results confirm that customer involvement was related to perceived service performance and the positive relationship between customer involvement and perceived service performance was stronger on customers of a high rather than low level of co-production. The findings provide new insight into the characterization of bank customers and their perceptions of service performance and have implications for both bank managers and consumer services researchers.

Suggested Citation

  • Cheung, Millissa F.Y. & To, W.M., 2011. "Customer involvement and perceptions: The moderating role of customer co-production," Journal of Retailing and Consumer Services, Elsevier, vol. 18(4), pages 271-277.
    • Handle: RePEc:eee:joreco:v:18:y:2011:i:4:p:271-277
    DOI: 10.1016/j.jretconser.2010.12.011
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    Cited by:

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    2. Koistinen, Katri & Järvinen, Raija, 2016. "Comparing perceived insecurity among customers and retail staff during service encounters," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 80-92.
    3. Tseng, Fang-Mei & Chiang, Lan-Lung (Luke), 2016. "Why does customer co-creation improve new travel product performance?," Journal of Business Research, Elsevier, vol. 69(6), pages 2309-2317.
    4. Ford, Robert C. & Dickson, Duncan R., 2012. "Enhancing customer self-efficacy in co-producing service experiences," Business Horizons, Elsevier, vol. 55(2), pages 179-188.
    5. Stuart Read & Stefan Michel & Jan H. Schumann & Kumar Rakesh Ranjan, 2019. "Pricing co-created value: an integrative framework and research agenda," AMS Review, Springer;Academy of Marketing Science, vol. 9(3), pages 155-183, December.
    6. Ramadan, Zahy B. & Farah, Maya F. & Kassab, Danielle, 2019. "Amazon's approach to consumers’ usage of the Dash button and its effect on purchase decision involvement in the U.S. market," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 133-139.
    7. Cheung, Millissa F.Y. & To, W.M., 2021. "Effect of customer involvement on co-creation of services: A moderated mediation model," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    8. Jung, Jin Ho & Yoo, Jaewon, 2019. "The effects of deviant customer-oriented behaviors on service friendship: The moderating role of co-production," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 60-69.
    9. W. To & Joyce Tam & Millissa Cheung, 2013. "Explore how Chinese consumers evaluate retail service quality and satisfaction," Service Business, Springer;Pan-Pacific Business Association, vol. 7(1), pages 121-142, March.
    10. Lorena Blasco-Arcas & Blanca I. Hernandez-Ortega & Julio Jimenez-Martinez, 2014. "Collaborating online: the roles of interactivity and personalization," The Service Industries Journal, Taylor & Francis Journals, vol. 34(8), pages 677-698, May.
    11. Sugathan, Praveen & Ranjan, Kumar Rakesh & Mulky, Avinash G., 2017. "Atypical Shifts Post-failure: Influence of Co-creation on Attribution and Future Motivation to Co-create," Journal of Interactive Marketing, Elsevier, vol. 38(C), pages 64-81.
    12. Fellesson, Markus & Salomonson, Nicklas, 2016. "The expected retail customer: Value co-creator, co-producer or disturbance?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 204-211.
    13. Kumar Rakesh Ranjan & Stuart Read, 2016. "Value co-creation: concept and measurement," Journal of the Academy of Marketing Science, Springer, vol. 44(3), pages 290-315, May.
    14. Chen, Shiuann-Shuoh & Choubey, Bhaskar & Singh, Vinay, 2021. "A neural network based price sensitive recommender model to predict customer choices based on price effect," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).

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