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Functional forms of the satisfaction–loyalty relationship

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  • Dong, Songting
  • Ding, Min
  • Grewal, Rajdeep
  • Zhao, Ping

Abstract

The linear functional form of the effect of customer satisfaction on repurchase intentions may not be adequate under all circumstances; however, we lack a clear understanding of the factors that may drive variation in the functional forms of the satisfaction–loyalty relationship. Building on existing research, the authors consider how the functional form of the effect of satisfaction on repurchase intentions varies across segments formed at the intersection of product categories and customer economic and demographic variables. A comprehensive data set obtained from the sponsors of the Chinese Customer Satisfaction Index provides the input for a flexible cubic regression configuration to model the functional forms. The linear functional form emerges as the most prominent across 972 product–customer segments (51%), followed in frequency by the S-shaped and convex forms and, finally, the inverse S-shape and concave forms. Different product category characteristics, customer economic and demographic variables, and market characteristics moderate the effect of satisfaction on repurchase intentions differently for the linear, quadratic, and cubic terms. This research reveals key resource allocation implications based on the functional forms of the effect of satisfaction on repurchase intentions, as well as strategic segmentation implications related to the varying influence of product category characteristics, customer economic and demographic variables, and market characteristics.

Suggested Citation

  • Dong, Songting & Ding, Min & Grewal, Rajdeep & Zhao, Ping, 2011. "Functional forms of the satisfaction–loyalty relationship," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 38-50.
  • Handle: RePEc:eee:ijrema:v:28:y:2011:i:1:p:38-50
    DOI: 10.1016/j.ijresmar.2010.09.002
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    4. Frank, Björn & Herbas Torrico, Boris & Enkawa, Takao & Schvaneveldt, Shane J., 2014. "Affect versus Cognition in the Chain from Perceived Quality to Customer Loyalty: The Roles of Product Beliefs and Experience," Journal of Retailing, Elsevier, vol. 90(4), pages 567-586.
    5. Albers, Sönke, 2012. "Optimizable and implementable aggregate response modeling for marketing decision support," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 111-122.
    6. Ahrholdt, Dennis C. & Gudergan, Siegfried P. & Ringle, Christian M., 2019. "Enhancing loyalty: When improving consumer satisfaction and delight matters," Journal of Business Research, Elsevier, vol. 94(C), pages 18-27.
    7. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Chong, Alain Yee-Loong, 2020. "Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach," Journal of Business Research, Elsevier, vol. 110(C), pages 24-40.
    8. Ahmad Saifalddin Abu-Alhaija & Hosni Shareif Hussein & Almothanna Jamil Abu Allan, 2019. "Relationship between Customer Satisfaction and Customer Loyalty: A Review and Future Directions of its Nature and Approaches," Eurasian Journal of Social Sciences, Eurasian Publications, vol. 7(4), pages 28-39.
    9. Pomirleanu, Nadia & Chennamaneni, Pavan Rao & Krishen, Anjala S., 2016. "Easy to please or hard to impress: Elucidating consumers' innate satisfaction," Journal of Business Research, Elsevier, vol. 69(5), pages 1914-1918.
    10. Ham, Sung H. & He, Chuan & Zhang, Dan, 2022. "The promise and peril of dynamic targeted pricing," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1150-1165.
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