The Impact of External Variables through Importance of Performance Map Analysis on internal Variable using PLS-SEM Model for Fitness Centres

Mathew, Linsy and Shenoy, Ravindra U and Rao, Guruprasad and Shenoy, Sandeep S (2017) The Impact of External Variables through Importance of Performance Map Analysis on internal Variable using PLS-SEM Model for Fitness Centres. International Journal of Economic Research, 14 (20). pp. 443-449. ISSN 09729380

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Abstract

The purpose of this paper is to explain and illustrate the use of the importance-performance map analysis (IPMA) also called importance-performance matrix, impact-performance map. This is a useful analysis approach in PLS-SEM that extends the standard results reporting of path coefficient estimates by adding a dimension that considers the average values of the subconscious variable scores. More precisely, the IPMA contrasts the total effects, representing the antecedent concepts’ importance in shaping a certain target concept,with their average subconscious variable scores indicating their performance (Fornell et al., 1996; Martilla and James, 1977; Slack, 1994). The goal is to identify antecedents that have a relatively high importance for the target concept (i.e. those that have a strong total effect), but also have a relatively low performance (i.e. low average subconscious variable scores).

Item Type: Article
Uncontrolled Keywords: Total effect, IPMA, performance
Subjects: Departments at MU > Commerce
Depositing User: MIM User
Date Deposited: 10 Mar 2018 04:09
Last Modified: 12 Mar 2018 06:17
URI: http://eprints.manipal.edu/id/eprint/150740

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