Articlehybrid2020

The relationship between soft and hard quality management practices, innovation and organizational performance in higher education

Mauro Sciarelli · Mohamed Hani Gheith · Mario Tani

102 citations0/0 files storedThe TQM Journal

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Management Systems and Quality Improvement Quality and Supply Management Quality and Management Systems

Abstract

Purpose This study aims to empirically investigate the effects of both soft and hard quality management (QM) on innovation and organizational performance. It also examines the mediating role of hard QM, administrative innovation and technical innovation on the relationship between soft QM and organizational performance in higher education (HE). Design/methodology/approach The approach of this study is quantitative. The data used to test the hypotheses were obtained through online questionnaire sent to the academic staff of public universities in Naples (Italy). The hypothesized relationships are tested with data collected from 356 respondents by using the partial least squares structural equation modeling technique (PLS-SEM). Findings The results show that quality practices improve innovation and organizational performance, while innovation positively impacts organizational performance. The findings also indicate that soft QM affects organizational performance directly and indirectly through hard QM. Hard QM and innovation show a partial sequential mediating effect on soft QM-performance relationship Practical implications In order to implement quality management properly in HE, directors need to recognize the different roles that soft and hard QM can have on innovation and organizational performance. It is important that higher education institutions (HEIs) allocate resources to establish both types of QM practices to achieve the effectiveness of the whole QM system. Originality/value Despite the existence of numerous studies on the relationship between QM, innovation and organizational performance in manufacturing and services, studies conducted in higher education are still few. This is one of the earliest studies that adopt the multidimensional approach of QM in HE which could help directors understand the interdependencies and different roles of soft and hard quality practices.

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 2018When to use and how to report the results of PLS-SEM 2003Research Methods for Business Students 2009\nThe use of partial least squares path modeling in international marketing 2015Common Method Bias in PLS-SEM 2009How to Write Up and Report PLS Analyses 2012Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations 1995Total quality management as competitive advantage: A review and empirical study

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