Moderated Mediation of Innovation Between Total Quality Management (TQM) and Business Performance

Shan, Ang Wei; Ahmad, Md Fauzi; Chan, Shiau Wei; Nor, Nik Hisyamudin Muhd; Hashim, Filouz; Hassan, Mohd Fahrul; Rahman, Nor Aida Abdul

doi:10.1166/asl.2018.12263

Cited by 1 publication

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“…Amin et al (2017) show that TQM constructs have significant relationships to employee satisfaction. A new TQM model in the environment of innovation is delivered by Shan et al (2018aShan et al ( , 2018b. The relationship between TQM and quality culture has been examined by Hildebrandt (1991); Hauser and Dellana (1998); Kujala and Lillrank (2004); Prajogo and McDermott (2005); Wu et al (2009); Gimenez-Espin et al (2013); Todorut and Bojnica (2013); and Pakurár et al (2019).…”

Section: Literature Reviewmentioning

confidence: 99%

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Quality Culture of Manufacturing Enterprises: A Possible Way to Adaptation to Industry 4.0

et al. 2019

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The concept of Industry 4.0 means a new paradigm of modern manufacturing. This phenomenon requires continuous innovation processes and technological development from each enterprise. Traditional concepts of quality must absorb changes and prepare themselves for new challenges. The studies linked to successful adaptation to Industry 4.0 focus mostly on technical dimensions and forget the impact of organisational culture. One should, however, remember that quality culture plays a crucial role in the organisational culture of manufacturing enterprises with elements of quality management implemented. Developed quality cultures support the innovation environment, which is why it is necessary for the enterprises to identify the current level of their quality culture and detect significant factors that differentiate individual quality cultures and focus on them. Given this fact, the aim of the paper is to analyse the typical cultures and quality concepts and to detect the factors that differentiate individual quality cultures in Slovakia. We use data from our own survey; dependences were indicated by means of correspondence analysis and the test of proportion. The improvement and assurance of quality, the use of information and the overall effectiveness are significant factors detected by the discriminant analysis. The conclusions of the survey may be used by scientific researchers but especially by manufacturing enterprises interested in quality which are coming to terms with the era of Industry 4.0.

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Section: Literature Reviewmentioning

confidence: 99%

“…The culture of operational excellence through Industry 4.0 is monitored by Quezada et al (2017). Shan et al (2018aShan et al ( , 2018b develop a model of a prominent paradigm to improve manufacturing performance in order to gain further competitive advantage.…”

Section: Literature Reviewmentioning

confidence: 99%