Ankesh Mittal, S. Sachan, Vimal Kumar, Sachit Vardhan, Pratima Verma, Mahender Singh Kaswan, J. Garza‐Reyes
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The analytic hierarchy process (AHP) has been used to give comparative importance and prioritize the identified nineteen OVs of Quality 4.0 in the context of the Indian furniture industry.FindingsThe results of this study reveal that the identified variables are very important for successful Quality 4.0 implementation and have been supported by empirical evidence from the Indian furniture industry. The variable “automation” under the digitalization-related category is a significant variable having a maximum weightage of 26.8% followed by Cloud computing (DI4) having a global weight of 12.8%.Research limitations/implicationsIn addition to offering valuable insights and practical recommendations, the study recognizes a few limitations, such as industry-specific and the limited sample size. To diminish these limitations, future research should believe in conducting similar studies in different industries and extend the scope of the study.Originality/valueQuality 4.0 is a term that refers to the integration of advanced digital technologies and smart data analytics into quality management systems to implement it considering OVs.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":3.8000,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Essential organizational variables for the implementation of Quality 4.0: empirical evidence from the Indian furniture industry\",\"authors\":\"Ankesh Mittal, S. Sachan, Vimal Kumar, Sachit Vardhan, Pratima Verma, Mahender Singh Kaswan, J. 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The analytic hierarchy process (AHP) has been used to give comparative importance and prioritize the identified nineteen OVs of Quality 4.0 in the context of the Indian furniture industry.FindingsThe results of this study reveal that the identified variables are very important for successful Quality 4.0 implementation and have been supported by empirical evidence from the Indian furniture industry. The variable “automation” under the digitalization-related category is a significant variable having a maximum weightage of 26.8% followed by Cloud computing (DI4) having a global weight of 12.8%.Research limitations/implicationsIn addition to offering valuable insights and practical recommendations, the study recognizes a few limitations, such as industry-specific and the limited sample size. 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Essential organizational variables for the implementation of Quality 4.0: empirical evidence from the Indian furniture industry
PurposeQuality 4.0 represents the integration of quality management principles with digital technologies to drive continuous improvement and innovation in organizations. The purpose of this paper is to explore the essential organizational variables (OVs) for the successful implementation of Quality 4.0 in the Indian furniture industry.Design/methodology/approachThrough a broad literature review, data from the Indian furniture industry and experts’ judgments a list of nineteen OVs have been recognized and classified into four major categories of digitalization, design, continuous improvement and employee training and up-skilling. The analytic hierarchy process (AHP) has been used to give comparative importance and prioritize the identified nineteen OVs of Quality 4.0 in the context of the Indian furniture industry.FindingsThe results of this study reveal that the identified variables are very important for successful Quality 4.0 implementation and have been supported by empirical evidence from the Indian furniture industry. The variable “automation” under the digitalization-related category is a significant variable having a maximum weightage of 26.8% followed by Cloud computing (DI4) having a global weight of 12.8%.Research limitations/implicationsIn addition to offering valuable insights and practical recommendations, the study recognizes a few limitations, such as industry-specific and the limited sample size. To diminish these limitations, future research should believe in conducting similar studies in different industries and extend the scope of the study.Originality/valueQuality 4.0 is a term that refers to the integration of advanced digital technologies and smart data analytics into quality management systems to implement it considering OVs.
TQM JournalBusiness, Management and Accounting-Business, Management and Accounting (all)
CiteScore
9.10
自引率
0.00%
发文量
114
期刊介绍:
Commitment to quality is essential if companies are to succeed in a commercial environment which will be virtually unrecognizable in less than a decade. Changing attitudes, changing perspectives and changing priorities will revolutionise the structure and philosophy of future business practice - and TQM will be at the heart of that metamorphosis. All aspects of preparing for, developing, introducing, managing and evaluating TQM initiatives.