Feng, M, Mangan, J, Wong, CY et al. (2 more authors) (2014) Investigating the different approaches to importance–performance analysis. The Service Industries Journal, 34 (12). pp. 1021-1041. ISSN 0264-2069
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014, Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in The Service Industries Journal on 30/06/2014, available online: http://dx.doi.org/10.1080/02642069.2014.915949 |
Keywords: | importance–performance analysis, gap analysis, three-factor theory, ports |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Jan 2016 15:21 |
Last Modified: | 09 Mar 2016 10:08 |
Published Version: | http://dx.doi.org/10.1080/02642069.2014.915949 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/02642069.2014.915949 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:87686 |