On the inclusion of sustainability and digitalisation in quality management – an overview from past to present

Carnerud, Daniel; Mårtensson, Anna; Ahlin, Karin; Slumpi, Thomas Persson

doi:10.1080/14783363.2020.1848422

Cited by 26 publications

(26 citation statements)

References 81 publications

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“…Quality management is omnipresent in this industry, and a connection can be made between quality management and sustainable use of land. Carnerud et al [218] show changes over the past 40 years in how IT has influenced the recent trend toward sustainability and thereby changed contact quality management.…”

Section: Sdg 15: Life On Landmentioning

confidence: 99%

The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals

et al. 2022

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The United Nations’ Sustainable Development Goals (SDGs) set out to improve the quality of life of people in developed, emerging, and developing countries by covering social and economic aspects, with a focus on environmental sustainability. At the same time, data-driven technologies influence our lives in all areas and have caused fundamental economical and societal changes. This study presents a comprehensive literature review on how data-driven approaches have enabled or inhibited the successful achievement of the 17 SDGs to date. Our findings show that data-driven analytics and tools contribute to achieving the 17 SDGs, e.g., by making information more reliable, supporting better-informed decision-making, implementing data-based policies, prioritizing actions, and optimizing the allocation of resources. Based on a qualitative content analysis, results were aggregated into a conceptual framework, including the following categories: (1) uses of data-driven methods (e.g., monitoring, measurement, mapping or modeling, forecasting, risk assessment, and planning purposes), (2) resulting positive effects, (3) arising challenges, and (4) recommendations for action to overcome these challenges. Despite positive effects and versatile applications, problems such as data gaps, data biases, high energy consumption of computational resources, ethical concerns, privacy, ownership, and security issues stand in the way of achieving the 17 SDGs.

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Section: Sdg 15: Life On Landmentioning

confidence: 99%

The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals

et al. 2022

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“…Nonetheless, digitization in quality management is an ambiguous topic. Although digitization is identified as an area of particular interest to quality professionals, Carnerud et al (2020) failed to demonstrate academic attention on the connection to quality management studies. The authors observed indirect references to digitization in studies discussing information technology (IT) or information systems (IS).…”

Section: Total Quality Service and Digitalizationmentioning

confidence: 99%

Total quality service in digital era

Schiavone

Pietronudo

Sabetta

et al. 2022

TQM

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PurposeTotal quality management is a valuable approach to continuously improve the quality of organizations; however, scholars debate its applicability to services, which require specific best practices that are different from those related to manufacturing. Moreover, digitization is pervading all kinds of services, but little has been written about total quality service practices in digital-based companies. For this purpose, the authors provide a holistic model of total quality service that reflects the peculiarities of such companies, guided by the question: how do total quality service practices change in digital-based service organizations?Design/methodology/approachThe authors conduct an illustrative case study on Healthware Group, a global integrated digital health organization, to evaluate theoretical assumptions about total quality service practices in the digital environment.FindingsThe findings allow to validate the model provided. In addition, the study enables them to observe the changes the authors are witnessing in service provision in the digital era and the consequent transformation of best practices. To be accurate, the authors cannot refer to a full transformation in digital-based companies but rather to the enrichment and extension of TQS practices. The best illustration of these conclusions has been summarized in a set of propositions corresponding to seven of the key levers of a TQS model.Originality/valueThe paper represents the first attempt to discuss the relationship between total quality service and digitalization, offering a set of propositions for academics and insights for practitioners. The model can be used as a tool to visualize the different levers that successful implementation of TQS in digital-based services companies can rely on.

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“…As stated by Carnerud et al (2020), digitalisation has not been addressed in the scholarly quality management literature, and the quality management field is not addressing the full potential of digitalisation. Quality management practitioners have not yet seized the potential of digitalisation and are having difficulty with the implementation of digitalisation because they do not know where to start (Legner et al, 2017).…”

Section: Ijlssmentioning

confidence: 99%

The HyDAPI framework: a versatile tool integrating Lean Six Sigma and digitalisation for improved quality management in Industry 4.0

Clancy

Bruton

O’Sullivan

et al. 2022

IJLSS

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Purpose Quality management practitioners have yet to cease the potential of digitalisation. Furthermore, there is a lack of tools such as frameworks guiding practitioners in the digital transformation of their organisations. The purpose of this study is to provide a framework to guide quality practitioners with the implementation of digitalisation in their existing practices. Design/methodology/approach A review of literature assessed how quality management and digitalisation have been integrated. Findings from the literature review highlighted the success of the integration of Lean manufacturing with digitalisation. A comprehensive list of Lean Six Sigma tools were then reviewed in terms of their effectiveness and relevance for the hybrid digitisation approach to process improvement (HyDAPI) framework. Findings The implementation of the proposed HyDAPI framework in an industrial case study led to increased efficiency, reduction of waste, standardised work, mistake proofing and the ability to root cause non-conformance products. Research limitations/implications The activities and tools in the HyDAPI framework are not inclusive of all techniques from Lean Six Sigma. Practical implications The HyDAPI framework is a flexible guide for quality practitioners to digitalise key information from manufacturing processes. The framework allows organisations to select the appropriate tools as needed. This is required because of the varying and complex nature of organisation processes and the challenge of adapting to the continually evolving Industry 4.0. Originality/value This research proposes the HyDAPI framework as a flexible and adaptable approach for quality management practitioners to implement digitalisation. This was developed because of the gap in research regarding the lack of procedures guiding organisations in their digital transition to Industry 4.0.

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On the inclusion of sustainability and digitalisation in quality management – an overview from past to present

Cited by 26 publications

References 81 publications

The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals

The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals

Total quality service in digital era

The HyDAPI framework: a versatile tool integrating Lean Six Sigma and digitalisation for improved quality management in Industry 4.0

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