Conceptualizing Industry 4.0 readiness model dimensions: an exploratory sequential mixed-method study

Antony, Jiju; Sony, Michael; McDermott, Olivia

doi:10.1108/tqm-06-2021-0180

Cited by 53 publications

(59 citation statements)

References 81 publications

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“…This is because, most of the studies on the impact of Industry 4.0 on organizational performance have not been conclusive (Agostini and Filippini, 2019; Sony and Naik, 2019). Another point to consider is there is no universally accepted implementation framework or readiness model to assess whether an organization is ready to implement Industry 4.0 (Hizam-Hanafiah et al , 2020; Antony et al , 2021). Industry 4.0 implementation is a radical change initiative (de Sousa Jabbour et al , 2018a) and therefore it changes most aspects of business i.e., from the supply chain to the manufacturing process due to its vertical, horizontal and end-to-end integration (Wang et al , 2016).…”

Section: Introductionmentioning

confidence: 99%

“…To harness the full power of Industry 4.0 even business models have to be changed (Prause, 2015; Weking et al , 2020). The costs associated with changing the internal and external business structures are high (Sony, 2020b; Antony et al , 2021). As considerable resources are to be devoted for the implementation of Industry 4.0 (Masood and Sonntag, 2020; Bag et al , 2021b), the management teams face a dilemma when it comes to the timing of implementation of Industry 4.0.…”

Section: Introductionmentioning

confidence: 99%

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How does performance vary between early and late adopters of Industry 4.0? A qualitative viewpoint

Antony

Sony

McDermott

et al. 2021

IJQRM

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PurposeIndustry 4.0 is a new trend among organizations. Some organizations have been early adopters or later adopters of Industry 4.0. The purpose of this paper is to investigate how performance effects vary between early and late adopters of Industry 4.0.Design/methodology/approachThis study applies a qualitative research methodology using grounded theory. 14 senior management professionals who have implemented Industry 4.0 participated in this study through a theoretical and snowball sampling approach. These professionals were from manufacturing and service sectors, from North America, Europe and Asia. The study used semi structured open-ended interviews to capture the organizational performance on operational, financial, environmental and social dimensions.FindingsThe findings were analyzed in terms of four broad themes which emerged from the interviews. In operational performance the operational and implementation cost will be higher for early adopters. The late adopters may enjoy the advantage in terms of improved business models. In terms of financial performance, the early adopters may see a marginal increase in profit and increased stock price compared to late adopters. The performance on the environmental dimension will see early adopters enjoying material efficiency, energy savings and an improved image of the company compared to late adopters. In social performance, the early adopters will provide a better quality of work life, safer manufacturing environment. However, the resistance from labor unions will be higher for early adopters compared to late adopters.Practical implicationsOrganizations must decide the timing of implementation of Industry 4.0. This study will act as a guide wherein they can decide to be an early adopter or late adopter based on knowledge of the resulting performance consequences.Originality/valueThis is the first paper that studies the performance effects of early versus late adopters of Industry 4.0.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How does performance vary between early and late adopters of Industry 4.0? A qualitative viewpoint

Antony

Sony

McDermott

et al. 2021

IJQRM

Self Cite

View full text Add to dashboard Cite

show abstract

“…After looking over the importance of Quality 4.0 in all fields Antony J. suggested strategies to be opted for the continuous improvement with industry 4.0 (Antony et al. , 2021a, b and c).…”

Section: Resultsmentioning

confidence: 99%

“…The author started the research in TQM focusing on the emerging trends of six-sigma (Antony et al. , 2021a, b and c) and its implementation and sustainability in a Scottish packing company and shifted its focus to quality control and Quality 4.0 conceptualization (Antony et al. , 2021a, b and c).…”

Section: Resultsmentioning

confidence: 99%

Recognizing the legacy of the TQM Journal: a bibliometric analysis of Scopus indexed publications (2008 - 2021)

Singh

Arora

2022

TQM

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PurposeThe purpose of this paper is to examine the trends in research published by the TQM Journal since its indexing in the Scopus database in 2008. The paper intends to offer a bibliometric analysis of the TQM Journal by highlighting the contributions made by the journal through citations, prominent authors, most frequent keywords and publications across geographical regions.Design/methodology/approachThe study involved the use of descriptive and visual methods to examine the quantitative and qualitative features of the bibliometric data. The authors made use of Biblioshiny using R-Studio and VoS viewer user interfaces to perform various types of bibliometric analysis on the bibliomteric data of the journal extracted from Scopus database (the largest inter-disciplinary database in social sciences).FindingsWith 85% of cited documents having a total 12,079 citations, the TQM Journal is one of the most reputed and impactful journals in the field of performance, integrated management system total quality management and allied concepts. The publications in the TQM Journal have cited many top-rated journals relevant to the domain. Maximum contributions in TQM Journal are submitted by authors from Italy, India and UK. Major submissions made to TQM Journal have focused on the quality concepts relevant to production and manufacturing sector in particular. In this regard, the TQM Journal has a very bright scope in covering the diverse and latest trends across industries especially during pandemic and changes happening thereof. The contributions of the editorial team along with authors and reviewers are unmatchable in making the reputation of the TQM Journal.Originality/valueTo the best of knowledge of the authors, this is going to be first bibliometric study ever conducted on the TQM Journal on documents published in Scopus database. The work carried out is unique, as it is an attempt by authors to comprehend the legacy of the TQM Journal through bibliometric data and showcase the past trends and explore future directions for the TQM Journal.

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“…The IR influences strategic variations in productivity and quality (Antony et al. , 2021a, b; Sony et al. , 2021).…”

Section: Introductionmentioning

confidence: 99%

Quality 4.0 conceptualisation: an emerging quality management concept for manufacturing industries

Maganga¹,

Taifa

2022

TQM

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Purpose Quality 4.0 refers to a modern quality management approach that uses Industry 4.0 technologies, integration and digitalisation. This research explores the current understandings of Quality 4.0 in various publications. The focus is on Quality 4.0 concepts or explanations, available models, motivation and readiness factors for adoption, enablers and technologies that can be leveraged. Design/methodology/approach A qualitative approach was deployed to collect the findings. This paper employs bibliometric, scientometric and visual analytic tools to identify and analyse articles from Scopus, Web of Science (WOS), Google Scholar databases and other sources such as ScienceDirect and Taylor and Francis. Findings The bibliometric results revealed that Quality 4.0 publications began in 2016 and increased dramatically in 2020 and 2021, with India leading the way while scientometric analysis found no clear definition of Quality 4.0 hitherto. However, several authors have defined the concept of Quality 4.0, arguing that it is characterised by digitalisation and integration, Industry 4.0 technologies applications and big data management. Some of the Quality 4.0 models published in the theoretical underpinnings include total quality management (TQM) in the basis of Industry 4.0 model, the European Foundation for quality management model, Quality 4.0 model combining operational technology (OT) and information technology (IT) through digital transformation and the LSN Research eleven axes of Quality 4.0 model. The research highlights key enablers of Quality 4.0 adoption, such as enabling technologies, big data capability, skilled and competent workers, collaboration and leadership support. Research limitations/implications The findings can benefit Quality 4.0 researchers and practitioners on the available Quality 4.0 models, motivation and readiness factors for Quality 4.0 adoption, enablers and leveraged technologies in Quality 4.0. Originality/value This study attempted to explore the current understandings of Quality 4.0 concepts to sediment these emerging quality management concepts for manufacturing industries.

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Conceptualizing Industry 4.0 readiness model dimensions: an exploratory sequential mixed-method study

Cited by 53 publications

References 81 publications

How does performance vary between early and late adopters of Industry 4.0? A qualitative viewpoint

How does performance vary between early and late adopters of Industry 4.0? A qualitative viewpoint

Recognizing the legacy of the TQM Journal: a bibliometric analysis of Scopus indexed publications (2008 - 2021)

Quality 4.0 conceptualisation: an emerging quality management concept for manufacturing industries

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