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Enhancing patients' hospital satisfaction by taking advantage of interpersonal similarity

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  • Luther, Louisa
  • Benkenstein, Martin
  • Rummelhagen, Katja

Abstract

According to the customer-to-customer literature, other customers are a prominent influence factor of service perception. Until now, the influence of other patients in shared rooms has been widely ignored in the hospital satisfaction literature. To guide the potential influence of other patients in a positive direction, we examined the effectiveness of interpersonal similarity. Using a scenario-based experimental design, we find that a similar perceived roommate leads to more positive feelings toward hospitalization and higher affective and behavioral attraction to this roommate. The findings indicate that higher attraction ratings mediate participants' increased satisfaction judgements of hospitals. Therefore, assigning roommates by their similarity is an appropriate procedure to raise patients' satisfaction ratings. To gain convenient implications for which similarity dimensions are especially important in every day hospital work life, we conducted group interviews with nurses. Age, habitualities and disease are promising attributes to implement the experimental results in hospitals.

Suggested Citation

  • Luther, Louisa & Benkenstein, Martin & Rummelhagen, Katja, 2016. "Enhancing patients' hospital satisfaction by taking advantage of interpersonal similarity," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 50-58.
  • Handle: RePEc:eee:joreco:v:30:y:2016:i:c:p:50-58
    DOI: 10.1016/j.jretconser.2015.12.002
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    2. Audrezet, Alice & Parguel, Béatrice, 2018. "Using the Evaluative Space Grid to better capture manifest ambivalence in customer satisfaction surveys," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 285-295.
    3. Cavusgil, Erin & Yayla, Serdar & Cem Kutlubay, Omer & Yeniyurt, Sengun, 2022. "The impact of demographic similarity on customers in a service setting," Journal of Business Research, Elsevier, vol. 139(C), pages 145-160.

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