Pub Date : 2023-01-10DOI: 10.1108/tqm-07-2022-0226
Nursuhana Alauddin, Saki Tanaka, S. Yamada
PurposeThis paper proposes a model for detecting unexpected examination scores based on past scores, current daily efforts and trend in the current score of individual students. The detection is performed soon after the current examination is completed, which helps take immediate action to improve the ability of students before the commencement of daily assessments during the next semester.Design/methodology/approachThe scores of past examinations and current daily assessments are analyzed using a combination of an ANOVA, a principal component analysis and a multiple regression analysis. A case study is conducted using the assessment scores of secondary-level students of an international school in Japan.FindingsThe score for the current examination is predicted based on past scores, current daily efforts and trend in the current score. A lower control limit for detecting unexpected scores is derived based on the predicted score. The actual score, which is below the lower control limit, is recognized as an unexpected score. This case study verifies the effectiveness of the combinatorial usage of data in detecting unexpected scores.Originality/valueUnlike previous studies that utilize attribute and background data to predict student scores, this study utilizes a combination of past examination scores, current daily efforts for related subjects and trend in the current score.
{"title":"Detecting unexpected scores of individual students in an examination based on past scores and current daily efforts","authors":"Nursuhana Alauddin, Saki Tanaka, S. Yamada","doi":"10.1108/tqm-07-2022-0226","DOIUrl":"https://doi.org/10.1108/tqm-07-2022-0226","url":null,"abstract":"PurposeThis paper proposes a model for detecting unexpected examination scores based on past scores, current daily efforts and trend in the current score of individual students. The detection is performed soon after the current examination is completed, which helps take immediate action to improve the ability of students before the commencement of daily assessments during the next semester.Design/methodology/approachThe scores of past examinations and current daily assessments are analyzed using a combination of an ANOVA, a principal component analysis and a multiple regression analysis. A case study is conducted using the assessment scores of secondary-level students of an international school in Japan.FindingsThe score for the current examination is predicted based on past scores, current daily efforts and trend in the current score. A lower control limit for detecting unexpected scores is derived based on the predicted score. The actual score, which is below the lower control limit, is recognized as an unexpected score. This case study verifies the effectiveness of the combinatorial usage of data in detecting unexpected scores.Originality/valueUnlike previous studies that utilize attribute and background data to predict student scores, this study utilizes a combination of past examination scores, current daily efforts for related subjects and trend in the current score.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43062587","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 : 2023-01-09DOI: 10.1108/tqm-11-2021-0314
L. Frizziero, Christian Leon-Cardenas, Giulio Galiè, A. Liverani
PurposeThe aim of this research is to enlighten the methodology model of Industrial Design Structure (IDeS) that integrates the internal and external customer feedback embodied both in methods of quality function deployment (QFD) and as basis of design for six sigma (DFSS) steps to systematically bring the information across the entire organization, saving overall product development time and resources.Design/methodology/approachThe paper describes the state of the art enlightened to establish the disadvantages and challenges of other methods taken into consideration in the study like QFD and DFSS that, together with the need of companies to react fast to changes they need to straightforwardly implement product development information across all departments, leading to a mass customization infrastructure. Several application trials of this methodology have been cited.FindingsThe IDeS method has established to been able to integrate other well-known methodologies to gather technical specifications starting from voice of customers (VOCs) like QFD that served to canalize the generalist approach of define, measure, analyze, design and verify (DMADV) of DFSS in order to reach into a larger share of the organization and englobe by following the overall product design steps of an industrial project.Research limitations/implicationsThe research approach chosen for this document presents the concept of a methodology ought to operate most internal branches in a company driven by product design requirements and guidelines. Therefore, researchers are encouraged to develop further studies on the IDeS method are required in order to adapt this methodology to specific management tools that would help to ease information gathering for immediate analysis and modification.Practical implicationsThe paper implicates that a need to interchange information systematically across all subdivisions in the organization, as brisk response to VOC reactions is needed to thrive in the market nowadays, leading to a fast product customization scene. However, the industry is heading into adopting an individual customer-centered product conceptualization ought to be driven by design as a key for individualizing an object. Afterward by taking this concept broadly and adopting it would lead to implement a company organization that would be directly affected by the customer's input.Social implicationsThe methodology described aims to enable organizations to portray fast and accurate product prototyping, by exploiting technologies from Industry 4.0.Originality/valueThis concept proposes a method to canalize the implementation of DFSS by using the DMADV approach, whilst assessing the challenges of adaptation and keeping up with cultural pace that impacts the behavior of buying and consumption and moreover implementing a seamless communication within all departments in the organization to share the development progress and change requests by using similar information technology tools. T
{"title":"Industrial Design Structure: a straightforward organizational integration of DFSS and QFD in a new industry and market reality","authors":"L. Frizziero, Christian Leon-Cardenas, Giulio Galiè, A. Liverani","doi":"10.1108/tqm-11-2021-0314","DOIUrl":"https://doi.org/10.1108/tqm-11-2021-0314","url":null,"abstract":"PurposeThe aim of this research is to enlighten the methodology model of Industrial Design Structure (IDeS) that integrates the internal and external customer feedback embodied both in methods of quality function deployment (QFD) and as basis of design for six sigma (DFSS) steps to systematically bring the information across the entire organization, saving overall product development time and resources.Design/methodology/approachThe paper describes the state of the art enlightened to establish the disadvantages and challenges of other methods taken into consideration in the study like QFD and DFSS that, together with the need of companies to react fast to changes they need to straightforwardly implement product development information across all departments, leading to a mass customization infrastructure. Several application trials of this methodology have been cited.FindingsThe IDeS method has established to been able to integrate other well-known methodologies to gather technical specifications starting from voice of customers (VOCs) like QFD that served to canalize the generalist approach of define, measure, analyze, design and verify (DMADV) of DFSS in order to reach into a larger share of the organization and englobe by following the overall product design steps of an industrial project.Research limitations/implicationsThe research approach chosen for this document presents the concept of a methodology ought to operate most internal branches in a company driven by product design requirements and guidelines. Therefore, researchers are encouraged to develop further studies on the IDeS method are required in order to adapt this methodology to specific management tools that would help to ease information gathering for immediate analysis and modification.Practical implicationsThe paper implicates that a need to interchange information systematically across all subdivisions in the organization, as brisk response to VOC reactions is needed to thrive in the market nowadays, leading to a fast product customization scene. However, the industry is heading into adopting an individual customer-centered product conceptualization ought to be driven by design as a key for individualizing an object. Afterward by taking this concept broadly and adopting it would lead to implement a company organization that would be directly affected by the customer's input.Social implicationsThe methodology described aims to enable organizations to portray fast and accurate product prototyping, by exploiting technologies from Industry 4.0.Originality/valueThis concept proposes a method to canalize the implementation of DFSS by using the DMADV approach, whilst assessing the challenges of adaptation and keeping up with cultural pace that impacts the behavior of buying and consumption and moreover implementing a seamless communication within all departments in the organization to share the development progress and change requests by using similar information technology tools. T","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43396362","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 : 2023-01-04DOI: 10.1108/tqm-06-2022-0203
Manjeet Kharub, Himanshu Gupta, S. Rana, Olivia McDermott
PurposeThe study's goal was to identify the factors contributing to the practical completion of Kaizen events (KEs). The effect of the work-study man's characteristics, the supervisor's conduct and the autonomy of the Kaizen team are analysed in this study.Design/methodology/approachData were collected from 249 respondents working in the manufacturing sector in India, mainly those who had been involved in Kaizen projects. Three-step procedures, namely, exploratory factor analysis, confirmatory factor analysis and partial least squares, have been applied to test the research hypotheses through structural equational modelling.FindingsThe exploratory factor analysis extracted in-role performance, creative performance and human aspect as latent variables explaining work-study man's performance (eigenvalue = 1). The study's findings indicate that the performance of work-study man (in-role, creative and human) and supervisors' conduct is directly related to the success of KEs. It was shown that supervisors might influence the outcomes of KEs only by moderating the human aspects. Additionally, the degree of autonomy of the Kaizen team was found having a significant positive relationship with the success of KEs.Practical implicationsThe current study suggests that in-role and creative performance are prime assets of a work-study man. At the same time, the human aspect is a delicate issue that can affect the supervisor's behaviour. Therefore, the study implies that work-study men have the tactics and abilities to work with other co-workers to make a Kaizen project successful.Originality/valueAlthough the significance of Kaizen projects has been widely emphasised, past research has failed to establish what factors contribute to the success of Kaizen efforts. Similarly, the supervisor's critical role has been highlighted several times. However, it is unclear how their conduct influences the relationship between work-study man's performance and the effectiveness of Kaizen projects. This study contributes significantly to organisational culture and human resource management by answering these questions.
{"title":"Employee's performance and Kaizen events' success: does supervisor behaviour play a moderating role?","authors":"Manjeet Kharub, Himanshu Gupta, S. Rana, Olivia McDermott","doi":"10.1108/tqm-06-2022-0203","DOIUrl":"https://doi.org/10.1108/tqm-06-2022-0203","url":null,"abstract":"PurposeThe study's goal was to identify the factors contributing to the practical completion of Kaizen events (KEs). The effect of the work-study man's characteristics, the supervisor's conduct and the autonomy of the Kaizen team are analysed in this study.Design/methodology/approachData were collected from 249 respondents working in the manufacturing sector in India, mainly those who had been involved in Kaizen projects. Three-step procedures, namely, exploratory factor analysis, confirmatory factor analysis and partial least squares, have been applied to test the research hypotheses through structural equational modelling.FindingsThe exploratory factor analysis extracted in-role performance, creative performance and human aspect as latent variables explaining work-study man's performance (eigenvalue = 1). The study's findings indicate that the performance of work-study man (in-role, creative and human) and supervisors' conduct is directly related to the success of KEs. It was shown that supervisors might influence the outcomes of KEs only by moderating the human aspects. Additionally, the degree of autonomy of the Kaizen team was found having a significant positive relationship with the success of KEs.Practical implicationsThe current study suggests that in-role and creative performance are prime assets of a work-study man. At the same time, the human aspect is a delicate issue that can affect the supervisor's behaviour. Therefore, the study implies that work-study men have the tactics and abilities to work with other co-workers to make a Kaizen project successful.Originality/valueAlthough the significance of Kaizen projects has been widely emphasised, past research has failed to establish what factors contribute to the success of Kaizen efforts. Similarly, the supervisor's critical role has been highlighted several times. However, it is unclear how their conduct influences the relationship between work-study man's performance and the effectiveness of Kaizen projects. This study contributes significantly to organisational culture and human resource management by answering these questions.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42281248","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}
PurposeThis research aims to investigate the effects of e-service quality on customer satisfaction and customer loyalty. The moderating effects of web design and trust in the relationship between e-service quality and customer satisfaction are also explored.Design/methodology/approachA conceptual model involving various dimensions of e-service quality, customer satisfaction, loyalty, price perception and web design is developed, and hypothesized relationships are tested using Hayes’s PROCESS macros. A survey instrument and data from 650 respondents who are regular e-buyers from the southern part of India are used.FindingsThe results indicate that e-service quality positively relates to customer satisfaction and loyalty. The findings also suggest that price perception and trust are vital in enhancing customer satisfaction. Further, the indirect effect of e-service quality on customer loyalty through customer satisfaction is supported. Finally, web design (first moderator) and trust (second moderator) significantly influence the relationship between e-service quality and customer satisfaction.Research limitations/implicationsThis research underscores the importance of e-service quality, web design, and trust in influencing customer satisfaction. Based on the findings from this study, e-retailers are suggested to discover the methods of building and improving customer trust and create a web design that is appealing to the customer to enhance satisfaction and loyalty. Some of the limitations of this study include common method bias and social desirability bias. However, the authors have taken adequate care to minimize these biases.Originality/valueThis paper used the e-service quality model and investigated the consequences of e-service quality during the post-pandemic new normal period in a developing country (India). The double moderation of web design and trust is a novel idea that previous researchers have not explored to the best of the authors' knowledge and makes a significant contribution to service marketing. In addition to providing resounding evidence of direct relationships, the three-way interaction investigated in this study makes this study unique and pivotal.
{"title":"Web design and trust as moderators in the relationship between e-service quality, customer satisfaction and customer loyalty","authors":"Jeeva Venkatakrishnan, Ravikumar Alagiriswamy, Satyanarayana Parayitam","doi":"10.1108/tqm-10-2022-0298","DOIUrl":"https://doi.org/10.1108/tqm-10-2022-0298","url":null,"abstract":"PurposeThis research aims to investigate the effects of e-service quality on customer satisfaction and customer loyalty. The moderating effects of web design and trust in the relationship between e-service quality and customer satisfaction are also explored.Design/methodology/approachA conceptual model involving various dimensions of e-service quality, customer satisfaction, loyalty, price perception and web design is developed, and hypothesized relationships are tested using Hayes’s PROCESS macros. A survey instrument and data from 650 respondents who are regular e-buyers from the southern part of India are used.FindingsThe results indicate that e-service quality positively relates to customer satisfaction and loyalty. The findings also suggest that price perception and trust are vital in enhancing customer satisfaction. Further, the indirect effect of e-service quality on customer loyalty through customer satisfaction is supported. Finally, web design (first moderator) and trust (second moderator) significantly influence the relationship between e-service quality and customer satisfaction.Research limitations/implicationsThis research underscores the importance of e-service quality, web design, and trust in influencing customer satisfaction. Based on the findings from this study, e-retailers are suggested to discover the methods of building and improving customer trust and create a web design that is appealing to the customer to enhance satisfaction and loyalty. Some of the limitations of this study include common method bias and social desirability bias. However, the authors have taken adequate care to minimize these biases.Originality/valueThis paper used the e-service quality model and investigated the consequences of e-service quality during the post-pandemic new normal period in a developing country (India). The double moderation of web design and trust is a novel idea that previous researchers have not explored to the best of the authors' knowledge and makes a significant contribution to service marketing. In addition to providing resounding evidence of direct relationships, the three-way interaction investigated in this study makes this study unique and pivotal.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47596564","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: 10.1108/tqm-09-2022-0289
A. Prashar
PurposeIndustry 4.0-driven digitalisation is said to offer a way to redesign traditional compliance-oriented quality management (QM) models. However, despite a rising academic and practitioner interest, it is still unclear how companies transform their current QM models to meet the real-time needs of the new manufacturing paradigm. The purpose of this study is to explore practices for the digitalisation of QM and to uncover the digitalisation journey.Design/methodology/approachAn exploratory research approach of an embedded case study of a multinational auto-component manufacturer was adopted to achieve the research aim.FindingsA guiding framework called the “Quality 4.0 transition framework” was developed based on literature and expert knowledge. The framework is made up of three building blocks, i.e. the foundation of “as-is” digitalisation maturity assessment; pillars representing horizontally and vertically integrated QM processes, and roof signifying reinforcement of total quality management (TQM) principles at all levels.Originality/valueThe study provides empirical evidence of the case company's digitalisation journey to avert product recall due to field failure issues. The study contributes to theory and practice in many ways. First, the study uses empirical data from a real-world case to understand how digitalisation affects QM processes. Next, the guiding framework for the Quality 4.0 transition adds to the existing literature on the digitalisation of business processes.
{"title":"Towards digitalisation of quality management: conceptual framework and case study of auto-component manufacturer","authors":"A. Prashar","doi":"10.1108/tqm-09-2022-0289","DOIUrl":"https://doi.org/10.1108/tqm-09-2022-0289","url":null,"abstract":"PurposeIndustry 4.0-driven digitalisation is said to offer a way to redesign traditional compliance-oriented quality management (QM) models. However, despite a rising academic and practitioner interest, it is still unclear how companies transform their current QM models to meet the real-time needs of the new manufacturing paradigm. The purpose of this study is to explore practices for the digitalisation of QM and to uncover the digitalisation journey.Design/methodology/approachAn exploratory research approach of an embedded case study of a multinational auto-component manufacturer was adopted to achieve the research aim.FindingsA guiding framework called the “Quality 4.0 transition framework” was developed based on literature and expert knowledge. The framework is made up of three building blocks, i.e. the foundation of “as-is” digitalisation maturity assessment; pillars representing horizontally and vertically integrated QM processes, and roof signifying reinforcement of total quality management (TQM) principles at all levels.Originality/valueThe study provides empirical evidence of the case company's digitalisation journey to avert product recall due to field failure issues. The study contributes to theory and practice in many ways. First, the study uses empirical data from a real-world case to understand how digitalisation affects QM processes. Next, the guiding framework for the Quality 4.0 transition adds to the existing literature on the digitalisation of business processes.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41835797","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: 10.1108/tqm-09-2022-0295
J. Sharma, B. B. Tripathy
PurposeSupplier evaluation and selection is an essential (multi-criteria decision-making) MCDM process that considers qualitative and quantitative factors. This research work attempts to use a MCDM technique based on merging fuzzy Technique for Order Preference by Similarity to Ideal Solution (F-TOPSIS) and Quality Function Deployment (QFD) ideas. The study attempts to find the supplier's attributes (HOWs) to accomplish its goals after determining the product's characteristics to suit the company's needs (WHATs).Design/methodology/approachThe proposed research methodology comprises the following four steps: Step 1: Determine the product purchase requirements (“WHATs”) and those pertinent to supplier evaluation (“HOWs”). In Step 2, the relative importance of the “WHAT-HOW” correlation scores is determined and also the resulting weights of “HOWs”. In Step 3, linguistic evaluations of possible suppliers in comparison to subjective criteria are given to the decision-makers. Step 4 combines the QFD and F-TOPSIS techniques to select suppliers.FindingsA fuzzy MCDM method based on fusing and integrating fuzzy information and QFD is presented to solve the drawbacks of conventional decision-making strategies used in supplier selection. Using the F-TOPSIS method, fuzzy positive ideal solution (FPIS) and fuzzy negative ideal solution (FNIS), the relative closeness coefficient values for all alternatives are computed. The suppliers are ranked by relating the closeness of coefficient values. This method permits the combination of ambiguous and subjective data expressed as fuzzy-defined integers or linguistic variables.Originality/valueQFD and TOPSIS, two widely used approaches, are combined in this article to rank and evaluate suppliers based on the traits that the suppliers choose to prioritize. This study demonstrates that the method employed could address multiple-criteria decision-making scenarios in a computationally efficient manner. The effectiveness and applicability of the method are illustrated using an example.
{"title":"An integrated QFD and fuzzy TOPSIS approach for supplier evaluation and selection","authors":"J. Sharma, B. B. Tripathy","doi":"10.1108/tqm-09-2022-0295","DOIUrl":"https://doi.org/10.1108/tqm-09-2022-0295","url":null,"abstract":"PurposeSupplier evaluation and selection is an essential (multi-criteria decision-making) MCDM process that considers qualitative and quantitative factors. This research work attempts to use a MCDM technique based on merging fuzzy Technique for Order Preference by Similarity to Ideal Solution (F-TOPSIS) and Quality Function Deployment (QFD) ideas. The study attempts to find the supplier's attributes (HOWs) to accomplish its goals after determining the product's characteristics to suit the company's needs (WHATs).Design/methodology/approachThe proposed research methodology comprises the following four steps: Step 1: Determine the product purchase requirements (“WHATs”) and those pertinent to supplier evaluation (“HOWs”). In Step 2, the relative importance of the “WHAT-HOW” correlation scores is determined and also the resulting weights of “HOWs”. In Step 3, linguistic evaluations of possible suppliers in comparison to subjective criteria are given to the decision-makers. Step 4 combines the QFD and F-TOPSIS techniques to select suppliers.FindingsA fuzzy MCDM method based on fusing and integrating fuzzy information and QFD is presented to solve the drawbacks of conventional decision-making strategies used in supplier selection. Using the F-TOPSIS method, fuzzy positive ideal solution (FPIS) and fuzzy negative ideal solution (FNIS), the relative closeness coefficient values for all alternatives are computed. The suppliers are ranked by relating the closeness of coefficient values. This method permits the combination of ambiguous and subjective data expressed as fuzzy-defined integers or linguistic variables.Originality/valueQFD and TOPSIS, two widely used approaches, are combined in this article to rank and evaluate suppliers based on the traits that the suppliers choose to prioritize. This study demonstrates that the method employed could address multiple-criteria decision-making scenarios in a computationally efficient manner. The effectiveness and applicability of the method are illustrated using an example.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42074590","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 : 2022-12-30DOI: 10.1108/tqm-05-2022-0152
Mahipal Singh, R. Rathi, Ajay Jaiswal, Shah Dhyey Manishbhai, Shaptarshi Sen Gupta, A. Dewangan
PurposeThe present study aims to explore the barriers to Lean Six Sigma (LSS) implementation in the healthcare sector and develop the ranking of finalized barriers using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach under a fuzzy environment.Design/methodology/approachThe LSS barriers are identified through the literature review and validated by the expert's opinion and statistical analysis. A total of 124 experts were identified through the purposive sampling method for conducting this study. A questionnaire survey method is used to collect the data related to identified LSS barriers in the healthcare sector. The screened barriers are ranked through the Fuzzy DEMATEL approach.FindingsIn this study, a total of 21 barriers were identified with the help of a systematic literature review and screened 13 significant barriers by the expert opinions of healthcare personnel. The result reveals that “Lack of top management commitment and support, lack of awareness about LSS”, “resistance to culture change and inadequate resources emerges as the most critical barriers”. The prioritization of barriers facilitates the managers to make effective policies and guidelines for LSS implementation in healthcare organizations.Practical implicationsTo avoid LSS implementation failure, the practitioners and researchers need to focus on LSS barriers as per suggested ranking more conventionally and make plans and adoption policies accordingly.Originality/valueThis study is unique in terms of investigation and empirical analysis of LSS implementation barriers in the healthcare sector in the Indian context. The outcomes of the present study will help the managers of healthcare organizations to make the strategies and policies for LSS implementation as per the recommended LSS barriers.
{"title":"Empirical analysis of Lean Six Sigma implementation barriers in healthcare sector using fuzzy DEMATEL approach: an Indian perspective","authors":"Mahipal Singh, R. Rathi, Ajay Jaiswal, Shah Dhyey Manishbhai, Shaptarshi Sen Gupta, A. Dewangan","doi":"10.1108/tqm-05-2022-0152","DOIUrl":"https://doi.org/10.1108/tqm-05-2022-0152","url":null,"abstract":"PurposeThe present study aims to explore the barriers to Lean Six Sigma (LSS) implementation in the healthcare sector and develop the ranking of finalized barriers using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach under a fuzzy environment.Design/methodology/approachThe LSS barriers are identified through the literature review and validated by the expert's opinion and statistical analysis. A total of 124 experts were identified through the purposive sampling method for conducting this study. A questionnaire survey method is used to collect the data related to identified LSS barriers in the healthcare sector. The screened barriers are ranked through the Fuzzy DEMATEL approach.FindingsIn this study, a total of 21 barriers were identified with the help of a systematic literature review and screened 13 significant barriers by the expert opinions of healthcare personnel. The result reveals that “Lack of top management commitment and support, lack of awareness about LSS”, “resistance to culture change and inadequate resources emerges as the most critical barriers”. The prioritization of barriers facilitates the managers to make effective policies and guidelines for LSS implementation in healthcare organizations.Practical implicationsTo avoid LSS implementation failure, the practitioners and researchers need to focus on LSS barriers as per suggested ranking more conventionally and make plans and adoption policies accordingly.Originality/valueThis study is unique in terms of investigation and empirical analysis of LSS implementation barriers in the healthcare sector in the Indian context. The outcomes of the present study will help the managers of healthcare organizations to make the strategies and policies for LSS implementation as per the recommended LSS barriers.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41832914","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 : 2022-12-28DOI: 10.1108/tqm-01-2022-0022
Emanuele Gabriel Margherita, A. M. Braccini
PurposeThe purpose of this study is to explore how Industry 4.0 (I40) technologies support workers' engagement in soft total quality management (TQM) practices for organisational performance.Design/methodology/approachThe authors conducted a multiple case study of six Italian manufacturing organisations that operate with I40 production and implement TQM practices. The authors concentrated on the relationship between I40 technologies and soft TQM aspects.FindingsI40 technologies provide two forms of engagement with workers. Workers can act as machine supervisors and expert assembly operators. Organisations use five soft TQM practices to involve and develop workers for TQM that vary according to automation levels. The five soft TQM practices are top management design around workers, incremental trials with I40 technologies, worker empowerment, I40 sociotechnical collaboration and individual feedback systems.Originality/valueIn the literature that focusses primarily on how I40 technologies support the hard side of TQM by creating a data-driven and automated quality management system, the authors illustrate how the workforce can be engaged in I40 with five soft TQM practices to improve organisational performance. Thus, the authors complement the theory of hard and soft TQM aspects for I40 production systems.
{"title":"The impact of Industry 4.0 technologies and the soft side of TQM on organisational performance: a multiple case study analysis on manufacturing organisations","authors":"Emanuele Gabriel Margherita, A. M. Braccini","doi":"10.1108/tqm-01-2022-0022","DOIUrl":"https://doi.org/10.1108/tqm-01-2022-0022","url":null,"abstract":"PurposeThe purpose of this study is to explore how Industry 4.0 (I40) technologies support workers' engagement in soft total quality management (TQM) practices for organisational performance.Design/methodology/approachThe authors conducted a multiple case study of six Italian manufacturing organisations that operate with I40 production and implement TQM practices. The authors concentrated on the relationship between I40 technologies and soft TQM aspects.FindingsI40 technologies provide two forms of engagement with workers. Workers can act as machine supervisors and expert assembly operators. Organisations use five soft TQM practices to involve and develop workers for TQM that vary according to automation levels. The five soft TQM practices are top management design around workers, incremental trials with I40 technologies, worker empowerment, I40 sociotechnical collaboration and individual feedback systems.Originality/valueIn the literature that focusses primarily on how I40 technologies support the hard side of TQM by creating a data-driven and automated quality management system, the authors illustrate how the workforce can be engaged in I40 with five soft TQM practices to improve organisational performance. Thus, the authors complement the theory of hard and soft TQM aspects for I40 production systems.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46515177","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 : 2022-12-27DOI: 10.1108/tqm-08-2022-0271
Anis Ben Salem
PurposeThis paper aims to study implicitly the mediating role of entrepreneurial coaching between TQM soft practice and firm performance.Design/methodology/approachThe data was gathered from 160 Tunisian-certified companies. The direct and indirect effect between TQM soft practice, entrepreneurial coaching and firm performance are shown using the structural equation modeling. It was performed using SPSS 20 software and AMOS 20 software.FindingsFirst, TQM practices have a positive effect on entrepreneurial coaching. Second, entrepreneurial coaching has a positive effect on firm performance. Third, TQM soft practices have a positive effect on firm performance. So, entrepreneurial coaching may implicitly mediate the relationship between TQM soft practice and firm performance.Research limitations/implicationsThis paper helps the practitioner to understand how entrepreneurial coaching ensure TQM soft practice implementation and how entrepreneurial coaching affects firm performance.Originality/valueTo the best of the author’s knowledge, this paper presents an innovative approach since it is among the first research study that treats the relationship between entrepreneurial support and TQM soft practice implementation and especially the relationship between entrepreneurial coaching and the success of the TQM soft practices implementation.
{"title":"Entrepreneurial coaching mediating relationship between TQM soft practices and firm performance: cases of certified Tunisian companies","authors":"Anis Ben Salem","doi":"10.1108/tqm-08-2022-0271","DOIUrl":"https://doi.org/10.1108/tqm-08-2022-0271","url":null,"abstract":"PurposeThis paper aims to study implicitly the mediating role of entrepreneurial coaching between TQM soft practice and firm performance.Design/methodology/approachThe data was gathered from 160 Tunisian-certified companies. The direct and indirect effect between TQM soft practice, entrepreneurial coaching and firm performance are shown using the structural equation modeling. It was performed using SPSS 20 software and AMOS 20 software.FindingsFirst, TQM practices have a positive effect on entrepreneurial coaching. Second, entrepreneurial coaching has a positive effect on firm performance. Third, TQM soft practices have a positive effect on firm performance. So, entrepreneurial coaching may implicitly mediate the relationship between TQM soft practice and firm performance.Research limitations/implicationsThis paper helps the practitioner to understand how entrepreneurial coaching ensure TQM soft practice implementation and how entrepreneurial coaching affects firm performance.Originality/valueTo the best of the author’s knowledge, this paper presents an innovative approach since it is among the first research study that treats the relationship between entrepreneurial support and TQM soft practice implementation and especially the relationship between entrepreneurial coaching and the success of the TQM soft practices implementation.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62449940","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 : 2022-12-22DOI: 10.1108/tqm-09-2022-0290
Surajit Bag, Pavitra Dhamija
PurposeThe International Labour Organization (ILO) has emphasized advancing decent employment in global supply chains. Supply chains (SC) are responsible for the growth of any economy and are positively correlated with job creation. However, studies show that decent working conditions are becoming a major concern. Hence, this study is a modest attempt to examine the shortcomings that result in a lack of decent working conditions in global SCs' and further discuss what kind of guidelines, programs, policies, initiatives or principles are necessary to stimulate decent jobs and/or make it easier to enhance decent working conditions in SC.Design/methodology/approachThe present paper first applied the systematic literature review and second used the TCM (Theory-Context-Methods), which is a framework-based review, further reporting the analysis of 59 journal research articles/papers listed in the Scopus database.FindingsThe most commonly used theories in the selected studies are institutional theory. As per these theories, governance, rules and regulations play a crucial role in stopping forced labour, child labour practices and social injustice among workers. The findings of this study comply with SDG eight, which states the significance of decent working conditions. Further, the topic modeling reveals four themes: (1) Nature of working conditions (2) Corporate legitimacy (3) Corporate governance mechanisms and (4) Corporate social responsibility, sustainability and ethics in firms. Lastly, we proposed a research framework that shows all the leading factors that influence working conditions in the supply chain.Practical implicationsManagers must focus on integrating decent working conditions in SC activities in their respective organizations and factories. Managers must realize and shoulder this responsibility with other top officials in the organization that improving the SC working conditions is the need of the hour. Consultation with Sustainable Development Goal (SDG) five (gender equality) (emphasize gender equality); and SDG eight (decent work and economic growth) (promote sustainable economic growth) is also recommended for managers. Lastly, managers need to develop suitable strategies keeping in mind the interplay between the leading factors (such as top management support, organizational culture, SA 8000 certification, occupational health and safety, stop forced labour and child labour practices, ethics training, enforce modern slavery act, global compliance regimes, buyer-supplier joint auditing, social responsible sourcing, stoppage of unauthorized sub-contracting, maintain SC transparency and CSR disclosure).Originality/valueUsing systematic literature review and TCM approach has provided some good takeaway points for managers. The study provides a valuable framework and fourteen research propositions which can be tested in the future.
{"title":"Research progress on working conditions in supply chains: a comprehensive literature review and future research propositions","authors":"Surajit Bag, Pavitra Dhamija","doi":"10.1108/tqm-09-2022-0290","DOIUrl":"https://doi.org/10.1108/tqm-09-2022-0290","url":null,"abstract":"PurposeThe International Labour Organization (ILO) has emphasized advancing decent employment in global supply chains. Supply chains (SC) are responsible for the growth of any economy and are positively correlated with job creation. However, studies show that decent working conditions are becoming a major concern. Hence, this study is a modest attempt to examine the shortcomings that result in a lack of decent working conditions in global SCs' and further discuss what kind of guidelines, programs, policies, initiatives or principles are necessary to stimulate decent jobs and/or make it easier to enhance decent working conditions in SC.Design/methodology/approachThe present paper first applied the systematic literature review and second used the TCM (Theory-Context-Methods), which is a framework-based review, further reporting the analysis of 59 journal research articles/papers listed in the Scopus database.FindingsThe most commonly used theories in the selected studies are institutional theory. As per these theories, governance, rules and regulations play a crucial role in stopping forced labour, child labour practices and social injustice among workers. The findings of this study comply with SDG eight, which states the significance of decent working conditions. Further, the topic modeling reveals four themes: (1) Nature of working conditions (2) Corporate legitimacy (3) Corporate governance mechanisms and (4) Corporate social responsibility, sustainability and ethics in firms. Lastly, we proposed a research framework that shows all the leading factors that influence working conditions in the supply chain.Practical implicationsManagers must focus on integrating decent working conditions in SC activities in their respective organizations and factories. Managers must realize and shoulder this responsibility with other top officials in the organization that improving the SC working conditions is the need of the hour. Consultation with Sustainable Development Goal (SDG) five (gender equality) (emphasize gender equality); and SDG eight (decent work and economic growth) (promote sustainable economic growth) is also recommended for managers. Lastly, managers need to develop suitable strategies keeping in mind the interplay between the leading factors (such as top management support, organizational culture, SA 8000 certification, occupational health and safety, stop forced labour and child labour practices, ethics training, enforce modern slavery act, global compliance regimes, buyer-supplier joint auditing, social responsible sourcing, stoppage of unauthorized sub-contracting, maintain SC transparency and CSR disclosure).Originality/valueUsing systematic literature review and TCM approach has provided some good takeaway points for managers. The study provides a valuable framework and fourteen research propositions which can be tested in the future.","PeriodicalId":40009,"journal":{"name":"TQM Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42670599","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}
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