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      Essential organizational variables for the implementation of Quality 4.0: empirical evidence from the Indian furniture industry

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      The TQM Journal
      Emerald

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          Abstract

          Purpose

          Quality 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/approach

          Through 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.

          Findings

          The 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/implications

          In 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/value

          Quality 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.

          Related collections

          Most cited references40

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          What is the Analytic Hierarchy Process?

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            The Analytic Hierarchy Process

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              Essential ingredients for the implementation of Quality 4.0: A narrative review of literature and future directions for research

              Quality 4.0 is concerned with managing quality in the Industry 4.0 era. Specifically, its focus is on which digital tools are used to enhance an organization’s ability to reliably give customers high-quality products. The purpose of this paper is to investigate the key ingredients for the effective implementation of Quality 4.0. A narrative literature review was conducted on the extant works to collate and analyse previous studies in this relatively new field. The study revealed eight key ingredients for the effective implementation of Quality 4.0 in organizations, namely: (1) handling big data, (2) improving prescriptive analytics, (3) using Quality 4.0 for effective vertical, horizontal and end-to-end integration, (4) using Quality 4.0 for strategic advantage, (5) leadership in Quality 4.0, (6) training in Quality 4.0, (7) organizational culture for Quality 4.0 and, lastly, (8) top management support for Quality 4.0. These findings have provided a steer for the future research agenda of Quality 4.0. Organizations can use the eight ingredients to perform a self-assessment on the current state of each element within their own organization. When implementing Quality 4.0, each ingredient should be effectively analysed, and measures taken so that the implementation of Quality 4.0 is effective. The paper makes the first attempt to present the key ingredients an organization should possess to effectively implement Quality 4.0.
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                Author and article information

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                Journal
                The TQM Journal
                TQM
                Emerald
                1754-2731
                August 24 2023
                August 24 2023
                Article
                10.1108/TQM-06-2023-0189
                e2b0a235-9bf3-435b-8934-5672e6585ed5
                © 2023

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