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Sciarelli M, Gheith MH, Tani M. The relationship between soft and hard quality management practices, innovation and organizational performance in higher education. TQM JOURNAL 2020. [DOI: 10.1108/tqm-01-2020-0014] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThis 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/approachThe 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).FindingsThe 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 relationshipPractical implicationsIn 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/valueDespite 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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Mehta N, Diwakar N, Arya R. Evaluating comparative performance of Indian engineering educational institutes based on TQM criteria for internal benchmarking. BENCHMARKING-AN INTERNATIONAL JOURNAL 2019. [DOI: 10.1108/bij-09-2017-0250] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
The purpose of this paper is to provide a framework for designing a multiple performance measurement tool for evaluating, comparing and benchmarking the working of engineering educational institutes in a group based on total quality management (TQM) criteria and performance measurement criterion, respectively.
Design/methodology/approach
Proposed framework is based on fuzzy analytic hierarchy process (FAHP) which takes in to account the fuzziness of human opinion for realistic outcome and generalization of the results. Based on the proposed framework a case study was conducted on engineering institutes of central India for collecting data and analyzing the current practices followed in these institutes. A relationship among TQM implementation criterion was developed, their respective weights derived and then institutes were ranked.
Findings
It was found that the rank of institutions based on both the criterion is same, which indicates that the institutes having better TQM implementation have better performance.
Research limitations/implications
The research in this paper is limited to Indian scenario; studies in other countries and sectors may be conducted to compare the results obtained.
Practical implications
The results will help policy makers in identifying institutions having poor performance in the region.
Originality/value
The paper is navel in its attempt to provide a model based on TQM criteria for evaluating the working of engineering educational institutes in a group in terms of their relative weightage and benchmark.
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Marchiori D, Mendes L. Knowledge management and total quality management: foundations, intellectual structures, insights regarding evolution of the literature. TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE 2018. [DOI: 10.1080/14783363.2018.1468247] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Danilo Marchiori
- Department of Management and Economics, University of Beira Interior, NECE-UBI Research Unit in Business Science, Covilhã, Portugal
- FUCAPE Business School, Vitoria 29075-505, Brazil
| | - Luís Mendes
- Department of Management and Economics, University of Beira Interior, CEFAGE-UBI Research Center, Covilhã, Portugal
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Anthony S, Antony J. Academic leadership and Lean Six Sigma. INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT 2016. [DOI: 10.1108/ijqrm-03-2015-0047] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
– The purpose of this paper is to demonstrate the ability to researchers of using design of experiments (DoE) as a structured and systematic approach to performing systematic literature reviews. The authors demonstrate a simple case study illustrating the application of DoE in executing a systematic literature review on two popular topics in higher education: academic leadership and Lean Six Sigma.
Design/methodology/approach
– The methodology involves the systematic literature review of linking academic leadership with terms such as Lean, Six Sigma, Total Quality Management, Maturity Model and Continuous Improvement. The main tool used to structure the systematic literature review is a Taguchi Orthogonal Array design, specifically an L16 grid and the method is verified by conducting another review, replacing the term academic leadership with simply leadership.
Findings
– The approach identified at first no research papers linking the terms; however, when academic leadership was replaced with university, 19 research papers where discovered. The verification exercise, linking just leadership with the other search string generated over 1,000 results – demonstrating that the tool can find large volumes of articles if they exist, the search was completed for a ten year time frame – 2004 to 2014.
Research limitations/implications
– The case study focussed on a field which is known to have little current research and the verification exercise deliberately targeted a known large body of research. The authors will continue to use the approach and refine the technique over time.
Practical implications
– This approach would help any researcher despite of their discipline to identify opportunities and gaps in the current literature.
Originality/value
– The paper shows how DoE can be used in an academic research-based process. No other literature review approach currently exists which uses Taguchi approach to DoE to filter the search criteria.
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Pal Pandi A, Paranitharan K, Jeyathilagar D. Implementation of IEQMS model in engineering educational institutions – a structural equation modelling approach. TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE 2016. [DOI: 10.1080/14783363.2016.1154431] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- A. Pal Pandi
- Department of Mechanical Engineering, Bharath Niketan Engineering College, Auntipatty 625531, India
| | - K.P. Paranitharan
- Department of Industrial Engineering, College of Engineering Guindy, Anna University, Chennai 600025, India
| | - D. Jeyathilagar
- Department of Management Studies, R.R. College of Management Studies and Computer Application, Bangalore 560074, India
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Hrnčiar M, Madzík P. A 3D view of issues of quality in higher education. TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE 2015. [DOI: 10.1080/14783363.2015.1105100] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Pal Pandi A, Rajendra Sethupathi P, Jeyathilagar D. The IEQMS model for augmenting quality in engineering institutions – an interpretive structural modelling approach. TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE 2014. [DOI: 10.1080/14783363.2014.978647] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Mehta N, Verma P, Seth N. Total quality management implementation in engineering education in India: an interpretive structural modelling approach. TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE 2013. [DOI: 10.1080/14783363.2013.791113] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Sahu AR, Shrivastava RR, Shrivastava R. Critical success factors for sustainable improvement in technical education excellence. TQM JOURNAL 2013. [DOI: 10.1108/17542731311286432] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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The Relationship of Training Quality in E-learning and Organizational Commitment to Organizational Performance in the Taiwan Service Industry. ACTA ACUST UNITED AC 2012. [DOI: 10.1016/j.ieri.2012.06.177] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Talib F, Rahman Z, Qureshi M. A study of total quality management and supply chain management practices. INTERNATIONAL JOURNAL OF PRODUCTIVITY AND PERFORMANCE MANAGEMENT 2011. [DOI: 10.1108/17410401111111998] [Citation(s) in RCA: 93] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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An empirical study of total quality management in engineering educational institutions of India. BENCHMARKING-AN INTERNATIONAL JOURNAL 2010. [DOI: 10.1108/14635771011076461] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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