Pub Date : 2023-06-01DOI: 10.1080/10686967.2023.2211285
K. Boakye, V. Prybutok, Wesley S. Randall, K. Ofori
Abstract Customer engagement is one of the significant operational and quality practices service providers use to build service experiential relationships with customers. The purpose of this paper is to examine the moderating role emotional connection and customer orientation play in customer relationship building. A quantitative survey method is carried out among 515 self-reported active members at a single fast-growing non-denominational faith-based organization in Southwestern United States. Using a hierarchical multiple regression to evaluate our research model, we find relationship satisfaction is positively associated with customers’ behavioral intention in doing business with a service firm, while emotional connection shows no moderating effect on such a relationship. However, we found a significant three-way interaction effect of relationship satisfaction, emotional connection, and customer orientation on behavioral intentions. Customer orientation strengthens and fortifies the relationship between satisfaction and behavioral intentions for customers with high emotional connection than for customers with low emotional connection. The focus on customer orientation and emotional connection provides a framework that can assist service firms develop quality operational strategies that target the emotions and feelings of customers to value the relationship while supporting service employees with quality operational practices and customer orientated activities to better manage customers.
{"title":"Emotional connection and customer orientation as moderators in improving the customer satisfaction–behavioral intention link: A moderated moderation service model","authors":"K. Boakye, V. Prybutok, Wesley S. Randall, K. Ofori","doi":"10.1080/10686967.2023.2211285","DOIUrl":"https://doi.org/10.1080/10686967.2023.2211285","url":null,"abstract":"Abstract Customer engagement is one of the significant operational and quality practices service providers use to build service experiential relationships with customers. The purpose of this paper is to examine the moderating role emotional connection and customer orientation play in customer relationship building. A quantitative survey method is carried out among 515 self-reported active members at a single fast-growing non-denominational faith-based organization in Southwestern United States. Using a hierarchical multiple regression to evaluate our research model, we find relationship satisfaction is positively associated with customers’ behavioral intention in doing business with a service firm, while emotional connection shows no moderating effect on such a relationship. However, we found a significant three-way interaction effect of relationship satisfaction, emotional connection, and customer orientation on behavioral intentions. Customer orientation strengthens and fortifies the relationship between satisfaction and behavioral intentions for customers with high emotional connection than for customers with low emotional connection. The focus on customer orientation and emotional connection provides a framework that can assist service firms develop quality operational strategies that target the emotions and feelings of customers to value the relationship while supporting service employees with quality operational practices and customer orientated activities to better manage customers.","PeriodicalId":38208,"journal":{"name":"Quality Management Journal","volume":"30 1","pages":"153 - 167"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46241232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-03DOI: 10.1080/10686967.2023.2172953
S. T. Foster
Welcome to the 2 issue of the 30 volume of the Quality Management Journal. We are excited about this edition and further contributions to the lean and quality management literature. For readers of the Quality Management Journal, we would like to encourage you to cite these, and other articles published in the journal. This helps the journal and helps your research. We now have a beginning of an H score and want to see that improve though citations. This journal is a very rigorous journal with a 14% acceptance rate. We average about 23k annual downloads and reviews. Have a great spring and send us your best research. This issue includes 4 articles. The first article is Introducing Lean practices through Simulation: A Case Study in an Italian SME by Stefano Frecassetti (Department of Management, Economics and Industrial Engineering, Politecnico di Milano), Bassel Kassem (Department of Management, Economics and Industrial Engineering, Politecnico di Milano) and Kaustav Kundu (Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore), and Matteo Ferrazzi (Department of Management, Economics and Industrial Engineering, Politecnico di Milano) and Alberto Portioli-Staudacher (Department of Management, Economics and Industrial Engineering, Politecnico di Milano). This article focuses on Lean in small and medium enterprises (SMEs). According to the authors, “This article would like to take that discussion from a different point of view, that of I4.0’s impact on proving the importance of implementing Lean in manufacturing companies. How do Lean tools and their integration impact SMEs’ process performance?" Through a mixed-method approach of case study and simulation, this article shows the importance of implementing lean tools in a non-Lean company.” The second article is Industry 4.0 Readiness in West of Ireland Small and Medium & Micro Enterprises – An Exploratory Study by Dr. Olivia McDermott (University of Galway in Galway, Republic of Ireland), Stuart Nelson (University of Galway, Galway, Ireland), Jiju Antony (Khalifa University in Abu Dhabi, UAE) and Michael Sony (Wits Business School in Johannesburg, South Africa). “This study looks to understand the uptake of Industry 4.0 and digital technologies by Small and Medium Enterprises and Micro Enterprises in the West of Ireland with a focus on the challenges of Industry 4.0 as well as current integration levels of Industry 4.0. This study finds that there is a high level of awareness of Industry 4.0 and digitalization and its benefits within West of Ireland SME’s and Micro enterprises.” The third article is The Significance of Digital Waste in the Automation of Lean Practices by Jamila Alieva (Faculty of Engineering and the Environment, University of G€avle, G€avle, Sweden) and Daryl Powell (Norwegian University of Science and Technology, Trondheim, Norway). This study shows that “automating lean practices promises several opportunities for growth and comp
{"title":"Editor’s overview","authors":"S. T. Foster","doi":"10.1080/10686967.2023.2172953","DOIUrl":"https://doi.org/10.1080/10686967.2023.2172953","url":null,"abstract":"Welcome to the 2 issue of the 30 volume of the Quality Management Journal. We are excited about this edition and further contributions to the lean and quality management literature. For readers of the Quality Management Journal, we would like to encourage you to cite these, and other articles published in the journal. This helps the journal and helps your research. We now have a beginning of an H score and want to see that improve though citations. This journal is a very rigorous journal with a 14% acceptance rate. We average about 23k annual downloads and reviews. Have a great spring and send us your best research. This issue includes 4 articles. The first article is Introducing Lean practices through Simulation: A Case Study in an Italian SME by Stefano Frecassetti (Department of Management, Economics and Industrial Engineering, Politecnico di Milano), Bassel Kassem (Department of Management, Economics and Industrial Engineering, Politecnico di Milano) and Kaustav Kundu (Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore), and Matteo Ferrazzi (Department of Management, Economics and Industrial Engineering, Politecnico di Milano) and Alberto Portioli-Staudacher (Department of Management, Economics and Industrial Engineering, Politecnico di Milano). This article focuses on Lean in small and medium enterprises (SMEs). According to the authors, “This article would like to take that discussion from a different point of view, that of I4.0’s impact on proving the importance of implementing Lean in manufacturing companies. How do Lean tools and their integration impact SMEs’ process performance?\" Through a mixed-method approach of case study and simulation, this article shows the importance of implementing lean tools in a non-Lean company.” The second article is Industry 4.0 Readiness in West of Ireland Small and Medium & Micro Enterprises – An Exploratory Study by Dr. Olivia McDermott (University of Galway in Galway, Republic of Ireland), Stuart Nelson (University of Galway, Galway, Ireland), Jiju Antony (Khalifa University in Abu Dhabi, UAE) and Michael Sony (Wits Business School in Johannesburg, South Africa). “This study looks to understand the uptake of Industry 4.0 and digital technologies by Small and Medium Enterprises and Micro Enterprises in the West of Ireland with a focus on the challenges of Industry 4.0 as well as current integration levels of Industry 4.0. This study finds that there is a high level of awareness of Industry 4.0 and digitalization and its benefits within West of Ireland SME’s and Micro enterprises.” The third article is The Significance of Digital Waste in the Automation of Lean Practices by Jamila Alieva (Faculty of Engineering and the Environment, University of G€avle, G€avle, Sweden) and Daryl Powell (Norwegian University of Science and Technology, Trondheim, Norway). This study shows that “automating lean practices promises several opportunities for growth and comp","PeriodicalId":38208,"journal":{"name":"Quality Management Journal","volume":"30 1","pages":"89 - 89"},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48401842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-21DOI: 10.1080/10686967.2023.2171325
Olivia McDermott, Stuart Nelson, J. Antony, M. Sony
Abstract This study looks to understand the uptake of Industry 4.0 and digital technologies by Small and Medium Enterprises and Micro Enterprises in the West of Ireland with a focus on the challenges of Industry 4.0 as well as current integration levels of Industry 4.0. This study finds that there is a high level of awareness of Industry 4.0 and digitalization and its benefits within West of Ireland SME’s and Micro enterprises. However, a sizeable majority are not implementing any Industry 4.0 projects currently, nor is it a part of their strategy. 53% of participant organizations had implemented Lean, with 97% of those only implementing within the last 2 years. The challenges to Industry 4.0 were high costs, lack of state support and fear of choosing the wrong equipment/solution. This is the first empirical study on Industry 4.0 readiness within the West of Ireland Small, Medium and Micro Enterprise space which investigates the understanding of and the readiness for Industry 4.0 as well as the motivation and support required by these enterprises for Industry 4.0. Organizations, including government bodies, can use this study to understand the readiness for digitalization and Industry 4.0 in smaller enterprises as opposed to larger enterprises.
{"title":"Industry 4.0 readiness in west of Ireland small and medium and micro enterprises – an exploratory study","authors":"Olivia McDermott, Stuart Nelson, J. Antony, M. Sony","doi":"10.1080/10686967.2023.2171325","DOIUrl":"https://doi.org/10.1080/10686967.2023.2171325","url":null,"abstract":"Abstract This study looks to understand the uptake of Industry 4.0 and digital technologies by Small and Medium Enterprises and Micro Enterprises in the West of Ireland with a focus on the challenges of Industry 4.0 as well as current integration levels of Industry 4.0. This study finds that there is a high level of awareness of Industry 4.0 and digitalization and its benefits within West of Ireland SME’s and Micro enterprises. However, a sizeable majority are not implementing any Industry 4.0 projects currently, nor is it a part of their strategy. 53% of participant organizations had implemented Lean, with 97% of those only implementing within the last 2 years. The challenges to Industry 4.0 were high costs, lack of state support and fear of choosing the wrong equipment/solution. This is the first empirical study on Industry 4.0 readiness within the West of Ireland Small, Medium and Micro Enterprise space which investigates the understanding of and the readiness for Industry 4.0 as well as the motivation and support required by these enterprises for Industry 4.0. Organizations, including government bodies, can use this study to understand the readiness for digitalization and Industry 4.0 in smaller enterprises as opposed to larger enterprises.","PeriodicalId":38208,"journal":{"name":"Quality Management Journal","volume":"30 1","pages":"105 - 120"},"PeriodicalIF":0.0,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46116362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-17DOI: 10.1080/10686967.2023.2171326
Stefano Frecassetti, B. Kassem, Kaustav Kundu, M. Ferrazzi, A. Portioli-Staudacher
Abstract Lean is a management paradigm that focuses on respect for people and promises improvement in a company’s performance across sectors and sizes. SMEs, in particular, are a point of interest, considering that their malleability in bureaucracy allows for a more significant margin of continuous improvement application. Several organizational theories have gained advantages from technological innovation, and Lean is no exception. The relationships between Lean and new technologies have been studied throughout the years and gained particular interest in the years when Lean started to be integrated with Industry 4.0 (I4.0) to enhance firms’ performance. This article would like to take that discussion from a different point of view, that of I4.0's impact on proving the importance of implementing Lean in manufacturing companies. Through a mixed-method approach of case study and Simulation, this article will answer the identified research question: "How do Lean tools and their integration impact SMEs’ process performance?" by showing the importance of implementing Lean tools in a non-Lean company. The results show that Simulation can identify the Lean tools that benefit the company’s performance most. Managers could benefit from this study by highlighting which tool or combination to invest in according to the impact on operational performance.
{"title":"Introducing Lean practices through simulation: A case study in an Italian SME","authors":"Stefano Frecassetti, B. Kassem, Kaustav Kundu, M. Ferrazzi, A. Portioli-Staudacher","doi":"10.1080/10686967.2023.2171326","DOIUrl":"https://doi.org/10.1080/10686967.2023.2171326","url":null,"abstract":"Abstract Lean is a management paradigm that focuses on respect for people and promises improvement in a company’s performance across sectors and sizes. SMEs, in particular, are a point of interest, considering that their malleability in bureaucracy allows for a more significant margin of continuous improvement application. Several organizational theories have gained advantages from technological innovation, and Lean is no exception. The relationships between Lean and new technologies have been studied throughout the years and gained particular interest in the years when Lean started to be integrated with Industry 4.0 (I4.0) to enhance firms’ performance. This article would like to take that discussion from a different point of view, that of I4.0's impact on proving the importance of implementing Lean in manufacturing companies. Through a mixed-method approach of case study and Simulation, this article will answer the identified research question: \"How do Lean tools and their integration impact SMEs’ process performance?\" by showing the importance of implementing Lean tools in a non-Lean company. The results show that Simulation can identify the Lean tools that benefit the company’s performance most. Managers could benefit from this study by highlighting which tool or combination to invest in according to the impact on operational performance.","PeriodicalId":38208,"journal":{"name":"Quality Management Journal","volume":"30 1","pages":"90 - 104"},"PeriodicalIF":0.0,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44756632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-14DOI: 10.1080/10686967.2023.2171324
G. Sureshchandar
Abstract Customer satisfaction studies in a business-to-business (B2B) information technology (IT) industry have primarily focused on assessing satisfaction at the project level. However, software organizations are unique due to the complex nature of the supplier-customer relationships; therefore, the requirements of customers at the project and engagement levels are quite different and convoluted. This research identifies the determinants of customer satisfaction in an IT scenario, at an engagement level, and proposes a measurement instrument for the same. Furthermore, the relationships among the various determinants of customer satisfaction and their effect on overall customer satisfaction are investigated using the structural equation modeling (SEM) approach. The SEM model was tested for model fit and adequacy through various indices and measures, thereby confirming the theory behind the proposed model. The present research will help practitioners better understand the relationships among the various elements in customer satisfaction measurement and management in software organizations. This study is perhaps the first of its kind in applying the SEM approach for evaluating customer satisfaction in the B2B IT industry.
{"title":"Determinants of customer satisfaction in a B2B IT context – A structural equation modeling approach","authors":"G. Sureshchandar","doi":"10.1080/10686967.2023.2171324","DOIUrl":"https://doi.org/10.1080/10686967.2023.2171324","url":null,"abstract":"Abstract Customer satisfaction studies in a business-to-business (B2B) information technology (IT) industry have primarily focused on assessing satisfaction at the project level. However, software organizations are unique due to the complex nature of the supplier-customer relationships; therefore, the requirements of customers at the project and engagement levels are quite different and convoluted. This research identifies the determinants of customer satisfaction in an IT scenario, at an engagement level, and proposes a measurement instrument for the same. Furthermore, the relationships among the various determinants of customer satisfaction and their effect on overall customer satisfaction are investigated using the structural equation modeling (SEM) approach. The SEM model was tested for model fit and adequacy through various indices and measures, thereby confirming the theory behind the proposed model. The present research will help practitioners better understand the relationships among the various elements in customer satisfaction measurement and management in software organizations. This study is perhaps the first of its kind in applying the SEM approach for evaluating customer satisfaction in the B2B IT industry.","PeriodicalId":38208,"journal":{"name":"Quality Management Journal","volume":"30 1","pages":"135 - 149"},"PeriodicalIF":0.0,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47029487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-14DOI: 10.1080/10686967.2023.2171323
J. Alieva, D. Powell
Abstract Lean manufacturing has experienced massive changes under the influence of Industry 4.0 as the automation of lean practices has become common among manufacturing companies in many countries and across different industries. Automating lean practices promises several opportunities for growth and competitiveness. One of the acknowledged key advantages of lean automation has been the significant reduction of waste. Meanwhile, there is also discussion of a new form of waste: digital waste. However, do companies consider digital waste a part of production waste? It is also unclear if the automation of lean practices is a trigger for digital waste with a negative impact on value creation. This paper aims to investigate companies with automated lean practices and the digital waste generated by these practices. The research is based on three case studies of manufacturing companies based in Sweden. The originality of the study identifies and highlights the significance of various forms of digital waste, which is of academic and practical relevance. The study indicates that there is digital waste in supplier-related lean practice—automated JIT delivery—specifically in product-oriented and service-oriented technologies. There is digital waste in internally related lean practice—automated set-up—specifically in process-oriented technologies. Finally, there is digital waste in customer-related lean practice—digitally involved customers—in product-, service-, and process-oriented technologies.
{"title":"The significance of digital waste in the automation of Lean practices","authors":"J. Alieva, D. Powell","doi":"10.1080/10686967.2023.2171323","DOIUrl":"https://doi.org/10.1080/10686967.2023.2171323","url":null,"abstract":"Abstract Lean manufacturing has experienced massive changes under the influence of Industry 4.0 as the automation of lean practices has become common among manufacturing companies in many countries and across different industries. Automating lean practices promises several opportunities for growth and competitiveness. One of the acknowledged key advantages of lean automation has been the significant reduction of waste. Meanwhile, there is also discussion of a new form of waste: digital waste. However, do companies consider digital waste a part of production waste? It is also unclear if the automation of lean practices is a trigger for digital waste with a negative impact on value creation. This paper aims to investigate companies with automated lean practices and the digital waste generated by these practices. The research is based on three case studies of manufacturing companies based in Sweden. The originality of the study identifies and highlights the significance of various forms of digital waste, which is of academic and practical relevance. The study indicates that there is digital waste in supplier-related lean practice—automated JIT delivery—specifically in product-oriented and service-oriented technologies. There is digital waste in internally related lean practice—automated set-up—specifically in process-oriented technologies. Finally, there is digital waste in customer-related lean practice—digitally involved customers—in product-, service-, and process-oriented technologies.","PeriodicalId":38208,"journal":{"name":"Quality Management Journal","volume":"30 1","pages":"121 - 134"},"PeriodicalIF":0.0,"publicationDate":"2023-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48556206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1080/10686967.2023.2151305
Jiju Antony, Guilherme Tortorella, Michael Sony
We take immense pleasure in bringing to our readers a special issue on Leans Six Sigma (LSS) and Industry 4.0 (I4.0). The advances in I4.0 have transformed modern organizations into digital ecosystems. The traditional functions of organizations have undergone significant changes due to digital transformation, radically changing the manner they design, manufacture, sell, distribute and maintain their products and services. Modern technologies such as Internet-of-Things, cloud computing, cyberphysical systems, big data analytics, among others, are used distinctly, in all the phases of the product life cycle. Present-day manufacturers are integrating new technologies into their production facilities and throughout their operations to achieve the new level in operational excellence and superior performance in quality and reliability. However, for achieving sustainable competitive advantage using modern technologies, operational excellence methodologies, such as LSS, have to be effectively integrated with I4.0 technologies. Antony et al. (2021) put forward a sand cone model to demonstrate the cumulative evolution of LSS methodology from LSS1.0 to LSS4.0. However, the integration of LSS and I4.0 has not been empirically investigated so there is uncertainty about how I4.0 and LSS support each other. The main objective of this special issue is further the research in this area. The following article is included in this edition: The first article “A systematic review of the integration of Industry 4.0 with quality-related operational excellence methodologies” is contributed to the special issue by Komkowski, T., Antony, J., Garza-Reyes, J.A., Guilherme, T. and Tanawadee, P.E. The authors through a systematic literature review (SLR) examine the common themes for integrating Industry 4.0 with qualityrelated Operational Excellence methodologies. They further provide a comprehensive overview of ‘what’ and ‘how’ to combine them in an initial integration process. This research presents a holistic view of Quality Management (QM) and I4.0 integrations. They critically analyze the literature from 2015 to 2021 and suggest future research opportunities in the area of I4.0 and various quality improvement methodologies such as Total Quality Management, LSS, and Business Process Management. Additionally, they study resources, capabilities, and other characteristics required for QM and I4.0 integrations. This study could be a starting point for future investigations. The second article “Industry 4.0 and Lean Six Sigma integration in manufacturing: A literature review, an integrated framework and proposed research perspectives” is contributed by Skalli, D., Abdelkabir, C., Cheraffi, A., Graza-Reyes, J.A., Antony, J. and Shokri, A. This is also a literature review; however, it explores the literature on lean management (LM), Six Sigma (SS), and I4.0 and its relationship. This study uses an SLR methodology along with bibliometric analysis to analyze 134 articles between 20
我们非常高兴为读者带来一期关于Leans Six Sigma（LSS）和工业4.0（I4.0）的特刊。I4.0的进步将现代组织转变为数字生态系统。由于数字化转型，组织的传统职能发生了重大变化，从根本上改变了他们设计、制造、销售、分销和维护产品和服务的方式。物联网、云计算、网络物理系统、大数据分析等现代技术在产品生命周期的各个阶段都得到了明显的应用。当今的制造商正在将新技术整合到他们的生产设施和整个运营中，以实现卓越运营的新水平以及卓越的质量和可靠性性能。然而，为了利用现代技术实现可持续竞争优势，必须将LSS等卓越运营方法与I4.0技术有效结合。Antony等人（2021）提出了一个砂锥模型来证明LSS方法从LSS11.0到LSS4.0的累积演变。然而，尚未对LSS和I4.0的集成进行实证研究，因此I4.0和LSS如何相互支持存在不确定性。这期特刊的主要目的是进一步研究这一领域。本版收录了以下文章：Komkowski，T.、Antony，J.、Garza Reyes，J.A.、Guilherme，T.和Tanawadee为特刊撰写了第一篇文章“工业4.0与质量相关卓越运营方法的集成系统综述”，P.E.作者通过系统文献综述（SLR）研究了将工业4.0与质量相关的卓越运营方法相结合的共同主题。它们进一步提供了在初始集成过程中将它们组合在一起的“内容”和“方式”的全面概述。本研究提出了质量管理（QM）和I4.0集成的整体观点。他们批判性地分析了2015年至2021年的文献，并提出了I4.0和各种质量改进方法（如全面质量管理、LSS和业务流程管理）领域的未来研究机会。此外，他们还研究QM和I4.0集成所需的资源、能力和其他特性。这项研究可能是未来调查的起点。第二篇文章“制造业中的工业4.0和精益六西格玛集成：文献综述、集成框架和拟议的研究视角”由Skalli，D.、Abdelkabir，C.、Cheraffi，A.、Graza Reyes，J.A.、Antony，J.和Shokri，A.撰写。这也是一篇文献综述；然而，它探索了关于精益管理（LM）、六西格玛（SS）和I4.0及其关系的文献。本研究使用SLR方法和文献计量学分析，分析了2011年至2022年6月期间的134篇文章。他们进一步确定了I4.0技术对LM、SS和I4.0的影响、关系以及它们的组合对卓越运营的影响。该研究的主要发现之一是，研究人员认为I4.0是LSS的驱动因素。他们还概述了该领域的主要研究流及其缺点，并提出了一个集成精益六西格玛和I4.0的LSS4.0框架。第三篇文章探讨了Alsadi，J.、Antony，J.、Mehzer，T.、Jayaraman，R.和Maalouf，M.的“精益与工业4.0：文献计量分析，未来研究方向的机会”。作者通过文献计量综述分析了精益I4.0或精益4.0和精益数字化转型文献，以确定其现状、优势、挑战和科学差距。该分析于2010年至2022年在Scopus数据库中进行。该研究得出结论，在过去五年中，精益I4.0和精益数字化转型往往是一个积极而广泛的研究领域。出版物的增长率呈指数级增长。除了关注未来的研究差距外，本文还强调了精益与I4.0或精益与数字化转型相结合的好处和挑战。本期特刊的最后一篇论文介绍了领先的精益学术和从业者Hines，P.a.、Guilherme，T.、Antony，J.和Romero，D.的“精益工业4.0：过去、现在和未来”。本文使用实时、开放式的定性调查方法来探索精益I4.0的过去、现在、和未来。研究发现，该领域的研究人员背景来自欧洲和亚洲，具有工程学术背景。该领域的主要研究兴趣是I4.0技术、可持续性、I4.0、供应链和人员。研究还表明，没有一个令人满意的定义
{"title":"Editorial note","authors":"Jiju Antony, Guilherme Tortorella, Michael Sony","doi":"10.1080/10686967.2023.2151305","DOIUrl":"https://doi.org/10.1080/10686967.2023.2151305","url":null,"abstract":"We take immense pleasure in bringing to our readers a special issue on Leans Six Sigma (LSS) and Industry 4.0 (I4.0). The advances in I4.0 have transformed modern organizations into digital ecosystems. The traditional functions of organizations have undergone significant changes due to digital transformation, radically changing the manner they design, manufacture, sell, distribute and maintain their products and services. Modern technologies such as Internet-of-Things, cloud computing, cyberphysical systems, big data analytics, among others, are used distinctly, in all the phases of the product life cycle. Present-day manufacturers are integrating new technologies into their production facilities and throughout their operations to achieve the new level in operational excellence and superior performance in quality and reliability. However, for achieving sustainable competitive advantage using modern technologies, operational excellence methodologies, such as LSS, have to be effectively integrated with I4.0 technologies. Antony et al. (2021) put forward a sand cone model to demonstrate the cumulative evolution of LSS methodology from LSS1.0 to LSS4.0. However, the integration of LSS and I4.0 has not been empirically investigated so there is uncertainty about how I4.0 and LSS support each other. The main objective of this special issue is further the research in this area. The following article is included in this edition: The first article “A systematic review of the integration of Industry 4.0 with quality-related operational excellence methodologies” is contributed to the special issue by Komkowski, T., Antony, J., Garza-Reyes, J.A., Guilherme, T. and Tanawadee, P.E. The authors through a systematic literature review (SLR) examine the common themes for integrating Industry 4.0 with qualityrelated Operational Excellence methodologies. They further provide a comprehensive overview of ‘what’ and ‘how’ to combine them in an initial integration process. This research presents a holistic view of Quality Management (QM) and I4.0 integrations. They critically analyze the literature from 2015 to 2021 and suggest future research opportunities in the area of I4.0 and various quality improvement methodologies such as Total Quality Management, LSS, and Business Process Management. Additionally, they study resources, capabilities, and other characteristics required for QM and I4.0 integrations. This study could be a starting point for future investigations. The second article “Industry 4.0 and Lean Six Sigma integration in manufacturing: A literature review, an integrated framework and proposed research perspectives” is contributed by Skalli, D., Abdelkabir, C., Cheraffi, A., Graza-Reyes, J.A., Antony, J. and Shokri, A. This is also a literature review; however, it explores the literature on lean management (LM), Six Sigma (SS), and I4.0 and its relationship. This study uses an SLR methodology along with bibliometric analysis to analyze 134 articles between 20","PeriodicalId":38208,"journal":{"name":"Quality Management Journal","volume":"30 1","pages":"1 - 2"},"PeriodicalIF":0.0,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44339269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1080/10686967.2022.2144786
P. Hines, G. Tortorella, J. Antony, David Romero
Abstract This paper employs a real-time, open-question qualitative survey method to investigate the past, present, and future of the Lean Industry 4.0 field. A major trend is found in researchers moving from technological backgrounds such as engineering, or other STEM subjects, into more socio-technical departments and developing interests in wider areas such as people, supply chain, and sustainability. A holistic perspective of the field is presented including a call to commonise the researcher-favored term “Lean Industry 4.0.” An inclusive and detailed definition of Lean Industry 4.0 takes into account the different survey responses. A wide range of future research gaps is identified within the context of a first-of-its-type future research framework.
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Pub Date : 2023-01-02DOI: 10.1080/10686967.2022.2144783
Tim Komkowski, J. Antony, J. Garza‐Reyes, G. Tortorella, Tanawadee Pongboonchai-Empl
Abstract This study examines the common themes for integrating Industry 4.0 with quality-related operational excellence methodologies to provide a comprehensive overview of “what” and “how” to combine them in an initial integration process. In addition, the gaps in the present literature are aggregated, and a research plan for the future is proposed. The study is based on a systematic review of 37 papers published in academic journals between 2015 and 2021. Unlike previous reviews, this study concentrates on the “what” and “how” level of total quality management, Lean Six Sigma, and business process management as quality-related operational excellence methodologies integrated with Industry 4.0 to provide a practical perspective when executing their integration and implementation. Findings indicate a strong technical and data-driven integration focus across the three themes. Furthermore, modes of action as moderators of success were derived as initial variables to be included in quality-driven Industry 4.0 transitions. Identifying gaps in the present literature and defining a research agenda centered on operational principles opens up opportunities for future study with significant practical value.
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Pub Date : 2023-01-02DOI: 10.1080/10686967.2022.2144784
D. Skalli, A. Charkaoui, A. Cherrafi, J. Garza‐Reyes, J. Antony, A. Shokri
Abstract This article explores the literature on lean management (LM), Six Sigma (SS), Industry 4.0 (I4.0) and their relationship. A systematic literature review (SLR) combined with bibliometric analysis was conducted to identify, select and evaluate articles and was supported by content analysis to classify papers into group-discussed clusters. A total of 134 articles were retrieved from relevant databases and publisher engines between 2011 and June 2022. The analysis of these articles enabled us to identify the impact of Industry 4.0 technologies on Lean SS; the relationship between LM, SS and Industry 4.0 and the implications of their combination on operational excellence. The results show that while a majority of researchers consider Industry 4.0 to be a driver of LSS and a prerequisite for helping companies access the data and analytics needed, others find them to be complementary and synergistic. Similarly, various authors support the idea that LSS could be a facilitator of Industry 4.0. This study provides an overview of the main research streams in this field and its shortcomings and presents an LSS4.0 framework integrating Lean SS and Industry 4 which will be of great value to academics and practitioners working in this area.
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