Exploring user perceptions of customer-centricity in chatbot interactions: a multi-method study in the healthcare sector

Purpose The advent and integration of technology have reshaped the interaction between customers and service providers across the customer journey. In the healthcare sector, chatbots are increasingly being adopted by service providers. Despite their growing usage, the perceived effectiveness of these tools depends on how users evaluate their customer-centricity. This paper investigates the user perceptions of customer-centricity in chatbot interactions. The study focuses on the healthcare sector. Design/methodology/approach An exploratory sequential multi-method approach was adopted, combining Grounded Theory and Total Interpretive Structural Modelling for this study. Findings The findings identify that perceived customer-centricity and customer satisfaction are driven by factors like digital empathy, trust, anthropomorphism, perceived usefulness, perceived control and perceived ease of use. The findings will help healthcare providers in designing more human-centric and emotionally intelligent chatbot systems. Originality/value The study contributes to the understanding of AI-mediated healthcare interactions by highlighting different aspects of chatbot experiences and their structural influence on customer-centricity.

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Publication Details

Journal
International Journal of Health Care Quality Assurance
Published
2026-11-09
DOI
https://doi.org/10.1108/ijhcqa-09-2025-0132
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring user perceptions of customer-centricity in chatbot interactions: a multi-method study in the healthcare sector

Rashmi Ranjan Panigrahi, Neha Singh, Ruchi Gupta, K.V.V.Murali Someswara Rao
International Journal of Health Care Quality Assurance
AI in Service Interactions
article

Exploring user perceptions of customer-centricity in chatbot interactions: a multi-method study in the healthcare sector

Rashmi Ranjan Panigrahi, Neha Singh, Ruchi Gupta, K.V.V.Murali Someswara Rao
article en

Abstract

Purpose The advent and integration of technology have reshaped the interaction between customers and service providers across the customer journey. In the healthcare sector, chatbots are increasingly being adopted by service providers. Despite their growing usage, the perceived effectiveness of these tools depends on how users evaluate their customer-centricity. This paper investigates the user perceptions of customer-centricity in chatbot interactions. The study focuses on the healthcare sector. Design/methodology/approach An exploratory sequential multi-method approach was adopted, combining Grounded Theory and Total Interpretive Structural Modelling for this study. Findings The findings identify that perceived customer-centricity and customer satisfaction are driven by factors like digital empathy, trust, anthropomorphism, perceived usefulness, perceived control and perceived ease of use. The findings will help healthcare providers in designing more human-centric and emotionally intelligent chatbot systems. Originality/value The study contributes to the understanding of AI-mediated healthcare interactions by highlighting different aspects of chatbot experiences and their structural influence on customer-centricity.

International Journal of Health Care Quality Assurance
University of Allahabad (IN), XIM University (IN), GITAM University (IN)
AI in Service Interactions
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