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Investigating the different approaches to importance-performance analysis

Author

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  • Mengying Feng
  • John Mangan
  • Chee Wong
  • Maozeng Xu
  • Chandra Lalwani

Abstract

Importance-performance analysis (IPA) is an analytic technique that generates a two-dimensional importance-performance grid, where the values of importance and performance across attributes are plotted against each other. This technique is used to assist service and other firms in prioritizing areas for service improvement when resources are limited. This study contributes to service theory by first performing a comprehensive literature review of four different and commonly used approaches to IPA. Survey data from the ports sector are then used to elucidate the value and the distinctiveness of these four different approaches, and it is also shown how the underlying theoretical assumptions led to somewhat varying, and contradictory interpretations. Subsequently, novel guidelines for integrating results from these four different approaches are proposed. The study advances service theory by detailing the integration of the different approaches to make sense of the importance and performance of diverse service attributes. The integrative approach developed in this paper also provides practitioners with clearer guidance for the application of IPA.

Suggested Citation

  • Mengying Feng & John Mangan & Chee Wong & Maozeng Xu & Chandra Lalwani, 2014. "Investigating the different approaches to importance-performance analysis," The Service Industries Journal, Taylor & Francis Journals, vol. 34(12), pages 1021-1041, August.
  • Handle: RePEc:taf:servic:v:34:y:2014:i:12:p:1021-1041
    DOI: 10.1080/02642069.2014.915949
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    Cited by:

    1. M. Suresh & Kavya Gopakumar, 2021. "Multi-grade fuzzy assessment framework for software professionals in work-from-home mode during and post-COVID-19 era," Future Business Journal, Springer, vol. 7(1), pages 1-9, December.
    2. Padlee, Siti Falindah & Reimers, Vaughan & Mokhlis, Safiek & Anuar, Marhana Mohamed & Ahmad, Azlinzuraini, 2020. "Keep up the good work in research universities: An importance-performance analysis," Australasian marketing journal, Elsevier, vol. 28(2), pages 128-138.
    3. 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.
    4. Jih-Kuang Chen, 2021. "A New Approach for Diagonal Line Model of Importance-Performance Analysis: A Case Study of Tourist Satisfaction in China," SAGE Open, , vol. 11(1), pages 21582440219, January.
    5. Saleem, Muhammad Abid & Afzal, Hanan & Ahmad, Farooq & Ismail, Hina & Nguyen, Ninh, 2023. "An exploration and importance-performance analysis of bus rapid transit systems’ service quality attributes: Evidence from an emerging economy," Transport Policy, Elsevier, vol. 141(C), pages 1-13.
    6. Pedro Palos-Sanchez & Felix Martin-Velicia & Jose Ramon Saura, 2018. "Complexity in the Acceptance of Sustainable Search Engines on the Internet: An Analysis of Unobserved Heterogeneity with FIMIX-PLS," Complexity, Hindawi, vol. 2018, pages 1-19, October.
    7. Concetta Manuela La Fata & Toni Lupo & Tommaso Piazza, 2019. "Service quality benchmarking via a novel approach based on fuzzy ELECTRE III and IPA: an empirical case involving the Italian public healthcare context," Health Care Management Science, Springer, vol. 22(1), pages 106-120, March.
    8. Mingyuan Li & Kuen-Suan Chen & Chun-Min Yu & Chun-Ming Yang, 2021. "A Fuzzy Evaluation Decision Model for the Ratio Operating Performance Index," Mathematics, MDPI, vol. 9(3), pages 1-12, January.
    9. Methawadee Chaisomboon & Sajjakaj Jomnonkwao & Vatanavongs Ratanavaraha, 2020. "Elderly Users’ Satisfaction with Public Transport in Thailand Using Different Importance Performance Analysis Approaches," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
    10. Cristina López & Rocío Ruíz-Benítez & Carmen Vargas-Machuca, 2019. "On the Environmental and Social Sustainability of Technological Innovations in Urban Bus Transport: The EU Case," Sustainability, MDPI, vol. 11(5), pages 1-22, March.
    11. Groß, Michael, 2018. "Heterogeneity in consumers’ mobile shopping acceptance: A finite mixture partial least squares modelling approach for exploring and characterising different shopper segments," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 8-18.

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