Investigating determinants of innovation performance maturity in Malaysian private universities: A partial least squares structural equation modelling analysis

In response to the dynamic changes in the contemporary world, innovation has become imperative for Private Higher Education Institutions (HEIs) to keep pace with evolving institutions. While Total Quality Management (TQM) practices have been extensively examined in the context of determining factors...

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Main Authors: Ainin Zakiah, Othman, Nur Balqishanis, Zainal Abidin
Format: UTAR Academic Staff Publication
Published: EDP Sciences 2024
Subjects:
Online Access:https://doi.org/10.1051/itmconf/20246701013
http://eprints.utar.edu.my/6796/1/itmconf_icmsa2024_01013.pdf
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author Ainin Zakiah, Othman
Nur Balqishanis, Zainal Abidin
author_facet Ainin Zakiah, Othman
Nur Balqishanis, Zainal Abidin
author_sort Ainin Zakiah, Othman
building UTAR Institutional Repository
collection Online Access
description In response to the dynamic changes in the contemporary world, innovation has become imperative for Private Higher Education Institutions (HEIs) to keep pace with evolving institutions. While Total Quality Management (TQM) practices have been extensively examined in the context of determining factors supporting innovation performance, conflicting results from various studies necessitate a fresh perspective. This study adopts the Capability Maturity Model (CMM) to enhance the impact of TQM practices on Innovation Performance, introducing a novel hybrid theory termed TQM-CMM which is a combination of TQM and CMM to enhance the application of TQM practices by assessing its maturity level, addressing the issue of conflicting results observed in previous studies. The objective is to elucidate the interconnected relationships among key factors influencing innovation performance in private higher education institutions (HEIs). A survey conducted at Malaysian private HEIs, yielding 115 valid responses, reveals that two out of seven hypothesized correlates among the constructs were statistically significant at two-tailed tests, evidenced by t values exceeding 1.96 calculated from 10,000 bootstrapped samples. This research contributes valuable insights for academics and offers potential enhancements to university performance.
first_indexed 2025-11-15T19:43:48Z
format UTAR Academic Staff Publication
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institution Universiti Tunku Abdul Rahman
institution_category Local University
last_indexed 2025-11-15T19:43:48Z
publishDate 2024
publisher EDP Sciences
recordtype eprints
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spelling utar-67962024-09-10T00:16:28Z Investigating determinants of innovation performance maturity in Malaysian private universities: A partial least squares structural equation modelling analysis Ainin Zakiah, Othman Nur Balqishanis, Zainal Abidin HD28 Management. Industrial Management LB2300 Higher Education QA75 Electronic computers. Computer science In response to the dynamic changes in the contemporary world, innovation has become imperative for Private Higher Education Institutions (HEIs) to keep pace with evolving institutions. While Total Quality Management (TQM) practices have been extensively examined in the context of determining factors supporting innovation performance, conflicting results from various studies necessitate a fresh perspective. This study adopts the Capability Maturity Model (CMM) to enhance the impact of TQM practices on Innovation Performance, introducing a novel hybrid theory termed TQM-CMM which is a combination of TQM and CMM to enhance the application of TQM practices by assessing its maturity level, addressing the issue of conflicting results observed in previous studies. The objective is to elucidate the interconnected relationships among key factors influencing innovation performance in private higher education institutions (HEIs). A survey conducted at Malaysian private HEIs, yielding 115 valid responses, reveals that two out of seven hypothesized correlates among the constructs were statistically significant at two-tailed tests, evidenced by t values exceeding 1.96 calculated from 10,000 bootstrapped samples. This research contributes valuable insights for academics and offers potential enhancements to university performance. EDP Sciences 2024-08-21 UTAR Academic Staff Publication NonPeerReviewed application/pdf http://eprints.utar.edu.my/6796/1/itmconf_icmsa2024_01013.pdf https://doi.org/10.1051/itmconf/20246701013 Ainin Zakiah, Othman and Nur Balqishanis, Zainal Abidin (2024) Investigating determinants of innovation performance maturity in Malaysian private universities: A partial least squares structural equation modelling analysis. EDP Sciences. http://eprints.utar.edu.my/6796/
spellingShingle HD28 Management. Industrial Management
LB2300 Higher Education
QA75 Electronic computers. Computer science
Ainin Zakiah, Othman
Nur Balqishanis, Zainal Abidin
Investigating determinants of innovation performance maturity in Malaysian private universities: A partial least squares structural equation modelling analysis
title Investigating determinants of innovation performance maturity in Malaysian private universities: A partial least squares structural equation modelling analysis
title_full Investigating determinants of innovation performance maturity in Malaysian private universities: A partial least squares structural equation modelling analysis
title_fullStr Investigating determinants of innovation performance maturity in Malaysian private universities: A partial least squares structural equation modelling analysis
title_full_unstemmed Investigating determinants of innovation performance maturity in Malaysian private universities: A partial least squares structural equation modelling analysis
title_short Investigating determinants of innovation performance maturity in Malaysian private universities: A partial least squares structural equation modelling analysis
title_sort investigating determinants of innovation performance maturity in malaysian private universities: a partial least squares structural equation modelling analysis
topic HD28 Management. Industrial Management
LB2300 Higher Education
QA75 Electronic computers. Computer science
url https://doi.org/10.1051/itmconf/20246701013
https://doi.org/10.1051/itmconf/20246701013
http://eprints.utar.edu.my/6796/1/itmconf_icmsa2024_01013.pdf