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The Integration Model of Kano Model and Importance-Performance and Gap Analysis—Application of Mutual Information

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  • Shu-Ping Lin

    (Department of Banking and Finance, CTBC Business School, Tainan City 709, Taiwan)

  • Ming-Chun Tsai

    (Department of Artificial Intelligence, CTBC Business School, Tainan City 709, Taiwan)

Abstract

Service quality research has traditionally focused either on identifying Kano two-dimensional quality categories or detecting service quality deficiencies. However, integrating these perspectives remains a challenge due to the Kano model’s nonlinear characteristics and the importance-performance and gap analysis (IPGA) model’s linear approach. This study proposes the Kano-IPGA (KIPGA) model, incorporating mutual information (MI) to bridge the gap between these two models. The KIPGA model first employs moderated regression analysis to classify service attributes into Kano’s quality categories. MI is then used to calculate the relative importance (RI), while relative performance (RP) is determined using the original IPGA approach. The results are mapped into the KIPGA strategic matrix, categorizing service attributes into eight management strategies. An empirical analysis of Taiwan’s online insurance systems demonstrates the model’s effectiveness in simultaneously identifying Kano categories and prioritizing service quality improvements. The findings reveal that critical improvement and enhanced improvement regions require immediate attention. The proposed KIPGA model offers a systematic approach for service quality management, providing decision-makers with a structured framework to allocate resources effectively and enhance customer satisfaction. This study contributes to service quality research by offering an integrated model that accounts for both linear and nonlinear quality assessment perspectives.

Suggested Citation

  • Shu-Ping Lin & Ming-Chun Tsai, 2025. "The Integration Model of Kano Model and Importance-Performance and Gap Analysis—Application of Mutual Information," Mathematics, MDPI, vol. 13(11), pages 1-19, May.
  • Handle: RePEc:gam:jmathe:v:13:y:2025:i:11:p:1794-:d:1666129
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    References listed on IDEAS

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    1. Alexander L Young & Willem van den Boom & Rebecca A Schroeder & Vijay Krishnamoorthy & Karthik Raghunathan & Hau-Tieng Wu & David B Dunson, 2023. "Mutual information: Measuring nonlinear dependence in longitudinal epidemiological data," PLOS ONE, Public Library of Science, vol. 18(4), pages 1-16, April.
    2. Shiwakoti, Nirajan & Jiang, Hongwei & Nguyen, An Duong, 2022. "Passengers’ perception of safety and its relationship with demographics, service quality, satisfaction and loyalty in airlines sector - A case study of Vietnam to Australia route," Transport Policy, Elsevier, vol. 124(C), pages 194-202.
    3. Dionisio, Andreia & Menezes, Rui & Mendes, Diana A., 2004. "Mutual information: a measure of dependency for nonlinear time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 344(1), pages 326-329.
    4. Ya-Yuan Chang & Ching-Chan Cheng, 2022. "Evaluating the strategic implications of the service quality in green hotels from a new insight," Current Issues in Tourism, Taylor & Francis Journals, vol. 25(13), pages 2037-2041, July.
    5. Michele Preziosi & Alessia Acampora & Maria Claudia Lucchetti & Roberto Merli, 2022. "Delighting Hotel Guests with Sustainability: Revamping Importance-Performance Analysis in the Light of the Three-Factor Theory of Customer Satisfaction," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
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