The impact of external variables through importance of performance map analysis on internal variable using PLS-SEM model for fitness centres

Linsy Mathew, Ravindra Shenoy, Guru Prasad Rao, Sandeep S. Shenoy

Research output: Contribution to journalArticle

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 antecedentconcepts' 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).

Original languageEnglish
Pages (from-to)443-449
Number of pages7
JournalInternational Journal of Economic Research
Volume14
Issue number20
Publication statusPublished - 01-01-2017

Fingerprint

Fitness center
Coefficients

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)
  • Economics, Econometrics and Finance(all)

Cite this

@article{3a80acc7ec914054b9901435fec6cae5,
title = "The impact of external variables through importance of performance map analysis on internal variable using PLS-SEM model for fitness centres",
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 antecedentconcepts' 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).",
author = "Linsy Mathew and Ravindra Shenoy and Rao, {Guru Prasad} and Shenoy, {Sandeep S.}",
year = "2017",
month = "1",
day = "1",
language = "English",
volume = "14",
pages = "443--449",
journal = "International Journal of Economic Research",
issn = "0972-9380",
publisher = "Serials Publications",
number = "20",

}

The impact of external variables through importance of performance map analysis on internal variable using PLS-SEM model for fitness centres. / Mathew, Linsy; Shenoy, Ravindra; Rao, Guru Prasad; Shenoy, Sandeep S.

In: International Journal of Economic Research, Vol. 14, No. 20, 01.01.2017, p. 443-449.

Research output: Contribution to journalArticle

TY - JOUR

T1 - The impact of external variables through importance of performance map analysis on internal variable using PLS-SEM model for fitness centres

AU - Mathew, Linsy

AU - Shenoy, Ravindra

AU - Rao, Guru Prasad

AU - Shenoy, Sandeep S.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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 antecedentconcepts' 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).

AB - 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 antecedentconcepts' 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).

UR - http://www.scopus.com/inward/record.url?scp=85041311383&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85041311383&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85041311383

VL - 14

SP - 443

EP - 449

JO - International Journal of Economic Research

JF - International Journal of Economic Research

SN - 0972-9380

IS - 20

ER -