Pub Date : 2021-08-09DOI: 10.1080/09537287.2021.1957173
Ying-Ying Liao, E. Soltani, A. Wilkinson
Abstract This study is a response to calls for a more comprehensive treatment of service operations management amid concerns over the prevalence of poor service quality. Building upon the ideas of total quality management as an ethos of continual learning and quality improvement, this study aims to elucidate different managerial mindsets towards service quality and the resulting impact on the organisational learning environment. Using a qualitative case study methodology of a sample of UK-based service organisations, the findings point to a trichotomy of managerial mindsets towards service quality each connected to different types of organisational learning. These include (i) outcome mindset with a focus on short-term learning, (ii) process mindset with a focus on intermittent learning, and (iii) process-outcome mindset with a focus on continuous learning. We suggest several propositions for further empirical testing and highlight practical implications of the findings.
{"title":"From product to service quality: the role of managerial mindsets","authors":"Ying-Ying Liao, E. Soltani, A. Wilkinson","doi":"10.1080/09537287.2021.1957173","DOIUrl":"https://doi.org/10.1080/09537287.2021.1957173","url":null,"abstract":"Abstract This study is a response to calls for a more comprehensive treatment of service operations management amid concerns over the prevalence of poor service quality. Building upon the ideas of total quality management as an ethos of continual learning and quality improvement, this study aims to elucidate different managerial mindsets towards service quality and the resulting impact on the organisational learning environment. Using a qualitative case study methodology of a sample of UK-based service organisations, the findings point to a trichotomy of managerial mindsets towards service quality each connected to different types of organisational learning. These include (i) outcome mindset with a focus on short-term learning, (ii) process mindset with a focus on intermittent learning, and (iii) process-outcome mindset with a focus on continuous learning. We suggest several propositions for further empirical testing and highlight practical implications of the findings.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":"1 1","pages":"705 - 726"},"PeriodicalIF":8.3,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80486094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-06DOI: 10.1080/09537287.2021.1958388
Meng Jia, Mark Stevenson, L. Hendry
Abstract Many buying firms are implementing sustainability-oriented supplier development (SSD) projects. This paper provides a systematic literature review on the SSD process and develops a future research agenda. A total of 83 papers are analyzed according to their research content and using contingency theory variables, i.e. contingencies and response actions, and contingency forms of fit that influence performance outcomes. Although there has been a considerable focus on contingency factors in the SSD literature, explicit use of the contingency fit perspective has been limited. A conceptual framework is developed and supported by a series of research recommendations to provide a holistic view of SSD and a starting point for future research. To the best of our knowledge, this is the first paper to focus specifically on reviewing the SSD literature. The contingency theory lens provides a promising theoretical perspective for understanding how SSD initiatives can be successfully embedded in the supply chain.
{"title":"A systematic literature review on sustainability-oriented supplier development","authors":"Meng Jia, Mark Stevenson, L. Hendry","doi":"10.1080/09537287.2021.1958388","DOIUrl":"https://doi.org/10.1080/09537287.2021.1958388","url":null,"abstract":"Abstract Many buying firms are implementing sustainability-oriented supplier development (SSD) projects. This paper provides a systematic literature review on the SSD process and develops a future research agenda. A total of 83 papers are analyzed according to their research content and using contingency theory variables, i.e. contingencies and response actions, and contingency forms of fit that influence performance outcomes. Although there has been a considerable focus on contingency factors in the SSD literature, explicit use of the contingency fit perspective has been limited. A conceptual framework is developed and supported by a series of research recommendations to provide a holistic view of SSD and a starting point for future research. To the best of our knowledge, this is the first paper to focus specifically on reviewing the SSD literature. The contingency theory lens provides a promising theoretical perspective for understanding how SSD initiatives can be successfully embedded in the supply chain.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":"34 1","pages":"727 - 747"},"PeriodicalIF":8.3,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78435662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-27DOI: 10.1080/09537287.2021.1940344
Suheon Ju, J. Woo
Abstract A shipyard’s production plan has a hierarchical structure comprising a long-term plan and a mid-term or short-term plan. The mid-term schedule is established based on the major schedules of the long-term plan. However, in the long-term planning stage, the mid-term schedule is not considered owing to timing discrepancies and the lack of data. Therefore, even if a major schedule is changed to achieve production goals – such as workload balancing in the mid-term scheduling process – this is not reflected in the long-term plan. To solve these discrepancy challenges in conventional production planning, the problems of an existing shipbuilding production planning process were derived, and an algorithm to optimize the berth schedule by reflecting the mid-term schedule when establishing a long-term plan was developed. The developed methodology and algorithm were installed in an existing planning system and applied to an actual shipyard production planning process. Results showed improvements in long-term and mid-term scheduling.
{"title":"Integration of long-term planning and mid-term scheduling of shipbuilding","authors":"Suheon Ju, J. Woo","doi":"10.1080/09537287.2021.1940344","DOIUrl":"https://doi.org/10.1080/09537287.2021.1940344","url":null,"abstract":"Abstract A shipyard’s production plan has a hierarchical structure comprising a long-term plan and a mid-term or short-term plan. The mid-term schedule is established based on the major schedules of the long-term plan. However, in the long-term planning stage, the mid-term schedule is not considered owing to timing discrepancies and the lack of data. Therefore, even if a major schedule is changed to achieve production goals – such as workload balancing in the mid-term scheduling process – this is not reflected in the long-term plan. To solve these discrepancy challenges in conventional production planning, the problems of an existing shipbuilding production planning process were derived, and an algorithm to optimize the berth schedule by reflecting the mid-term schedule when establishing a long-term plan was developed. The developed methodology and algorithm were installed in an existing planning system and applied to an actual shipyard production planning process. Results showed improvements in long-term and mid-term scheduling.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":"9 1","pages":"524 - 542"},"PeriodicalIF":8.3,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89184134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-26DOI: 10.1080/09537287.2021.1953721
C. Roser
The book gives a thorough and extensive overview of the research related to production planning. This is an important problem for industry, as the topic of production planning in practice still leaves much to be desired. Especially for job shops, production planning is seen as difficult, resulting in many inefficiencies and less-than-satisfying production performances. The first three chapters of the book serve as an overview and introduction, where the first chapter introduces the problem, the second chapter defines some relevant KPI, and the third chapter gives an overview of the different production planning frameworks. The book then starts to go deeper into the different frameworks for production planning. Chapter 4 focuses on the field of workload control, chapter 5 on models assuming fixed lead times, and chapter 6 on models for time-varying lead times. The subsequent chapters look deeper at clearing functions, with chapter 7 on univariate clearing functions, chapter 8 on multivariate clearing functions, chapter 9 on lot sizing in clearing functions, and chapter 10 on application of clearing functions before the final chapter 11 concludes the book. Overall, this book by the two authors who are well known in this field is a very thorough and extensive literature review of the existing research on production planning. It includes hundreds of references up to 2019. The aim of the book is to give a structured overview of existing research. In the authors own words, they want to ‘[... raise] more questions in the mind of the reader than [to answer ... ]’ (pg. 276). The target audience are academic researchers focussing on the field of production planning. The book is far up in the ivory tower, and has few uses for practitioners, either due to the limitations and assumptions of the models, or due to the mathematical complexity exceeding the ability of the average production professional. Even for academics it is a tough read, and most readers will likely focus on selected topics of the book rather than reading it cover to cover. Hence, it is not a large problem that the different sections are not well-integrated. For example, the mathematical nomenclature is not consistent even within chapters, and usually uses the variables as found in the source references. Some variables would also benefit from a more concise explanation or definition. Similar applies to the figures, which also frequently originate from the references and have vastly different styles. Other figures that seem original to the book lack rigour. The differentiation using colours will be lost in greyscale printing, lines are sometimes not straight, and text in figures is misaligned. In combination, this gives some illustrations and equations an unfinished appearance. It is a bit more problematic that the wording is also not consistent. For example, the lead time is often but not always called ‘cycle time’—which in industry often has a very different meaning than lead time. Variabil
{"title":"Production planning with capacitated resources and congestion","authors":"C. Roser","doi":"10.1080/09537287.2021.1953721","DOIUrl":"https://doi.org/10.1080/09537287.2021.1953721","url":null,"abstract":"The book gives a thorough and extensive overview of the research related to production planning. This is an important problem for industry, as the topic of production planning in practice still leaves much to be desired. Especially for job shops, production planning is seen as difficult, resulting in many inefficiencies and less-than-satisfying production performances. The first three chapters of the book serve as an overview and introduction, where the first chapter introduces the problem, the second chapter defines some relevant KPI, and the third chapter gives an overview of the different production planning frameworks. The book then starts to go deeper into the different frameworks for production planning. Chapter 4 focuses on the field of workload control, chapter 5 on models assuming fixed lead times, and chapter 6 on models for time-varying lead times. The subsequent chapters look deeper at clearing functions, with chapter 7 on univariate clearing functions, chapter 8 on multivariate clearing functions, chapter 9 on lot sizing in clearing functions, and chapter 10 on application of clearing functions before the final chapter 11 concludes the book. Overall, this book by the two authors who are well known in this field is a very thorough and extensive literature review of the existing research on production planning. It includes hundreds of references up to 2019. The aim of the book is to give a structured overview of existing research. In the authors own words, they want to ‘[... raise] more questions in the mind of the reader than [to answer ... ]’ (pg. 276). The target audience are academic researchers focussing on the field of production planning. The book is far up in the ivory tower, and has few uses for practitioners, either due to the limitations and assumptions of the models, or due to the mathematical complexity exceeding the ability of the average production professional. Even for academics it is a tough read, and most readers will likely focus on selected topics of the book rather than reading it cover to cover. Hence, it is not a large problem that the different sections are not well-integrated. For example, the mathematical nomenclature is not consistent even within chapters, and usually uses the variables as found in the source references. Some variables would also benefit from a more concise explanation or definition. Similar applies to the figures, which also frequently originate from the references and have vastly different styles. Other figures that seem original to the book lack rigour. The differentiation using colours will be lost in greyscale printing, lines are sometimes not straight, and text in figures is misaligned. In combination, this gives some illustrations and equations an unfinished appearance. It is a bit more problematic that the wording is also not consistent. For example, the lead time is often but not always called ‘cycle time’—which in industry often has a very different meaning than lead time. Variabil","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":"46 1","pages":"765 - 765"},"PeriodicalIF":8.3,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74207091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-19DOI: 10.1080/09537287.2021.1946330
E. Ekanayake, Geoffrey Q. P. Shen, M. Kumaraswamy
Abstract Inspired by multiple benefits, including competitive advantages from developing resilient supply chains, this study was designed for the development of effective assessment models to evaluate Supply Chain Capabilities (SCC), improving resilience in Industrialised Construction (IC) in one of the high-density cities: Hong Kong (HK). First identifying appropriate SCC, this study aimed to develop multi-stage-mathematical models to evaluate the adoption of SCC of IC in HK. Experts’ judgements were solicited and analysed using fuzzy synthetic evaluation. Forty-one measurement items were grouped under nine critical SCC components, and their ‘importance’ and ‘current practice’ indices were determined. The importance index of SCC is high, spotlighting the significance of the contribution of SCC to resilience whereas the current practice index is comparatively low, highlighting the dire need to bridge this gap with capability improvements. To the authors' knowledge, these evaluation models are the first set of structured models designed to assess SCC of IC, providing valuable insights to practitioners for well-informed decision-making in formulating strategies to initiate and nurture resilient supply chains in IC in HK.
{"title":"A fuzzy synthetic evaluation of capabilities for improving supply chain resilience of industrialised construction: a Hong Kong case study","authors":"E. Ekanayake, Geoffrey Q. P. Shen, M. Kumaraswamy","doi":"10.1080/09537287.2021.1946330","DOIUrl":"https://doi.org/10.1080/09537287.2021.1946330","url":null,"abstract":"Abstract Inspired by multiple benefits, including competitive advantages from developing resilient supply chains, this study was designed for the development of effective assessment models to evaluate Supply Chain Capabilities (SCC), improving resilience in Industrialised Construction (IC) in one of the high-density cities: Hong Kong (HK). First identifying appropriate SCC, this study aimed to develop multi-stage-mathematical models to evaluate the adoption of SCC of IC in HK. Experts’ judgements were solicited and analysed using fuzzy synthetic evaluation. Forty-one measurement items were grouped under nine critical SCC components, and their ‘importance’ and ‘current practice’ indices were determined. The importance index of SCC is high, spotlighting the significance of the contribution of SCC to resilience whereas the current practice index is comparatively low, highlighting the dire need to bridge this gap with capability improvements. To the authors' knowledge, these evaluation models are the first set of structured models designed to assess SCC of IC, providing valuable insights to practitioners for well-informed decision-making in formulating strategies to initiate and nurture resilient supply chains in IC in HK.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":"38 1","pages":"623 - 640"},"PeriodicalIF":8.3,"publicationDate":"2021-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86456336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-16DOI: 10.1080/09537287.2021.1949506
Henrik Nielsen, T. B. Kristensen, Lawrence Grasso
Abstract The first purpose of this research is to study how and whether the joint use of lean production, value stream costing and accounting performance measures contribute to performance. Comparing a first-order and second-order structural equation model with survey data from 368 American production facilities, we find that lean production and management accounting practices (value stream costing and accounting measures of variance) collectively – rather than additively – affect performance. This finding indicates that organisations obtain greater performance by integrating lean production and management accounting practices into a system. The second purpose of this research is to determine whether the length of time organisations have employed lean production (‘time with lean’) moderates the joint effect of lean production and management accounting practices on performance. We find that the joint performance effect is positively moderated by the time with lean (i.e. we find a positive progressive learning curve). This contradicts the traditional wisdom on learning, which suggests that the benefits from learning are degressive. We argue that this positive moderation derives from the difficulty of understanding relations between multiple variables and the need for organisations to promote system-wide coherence via holistic changes.
{"title":"Performance effects of value stream costing and accounting performance measures in lean production companies – accounting for time compression","authors":"Henrik Nielsen, T. B. Kristensen, Lawrence Grasso","doi":"10.1080/09537287.2021.1949506","DOIUrl":"https://doi.org/10.1080/09537287.2021.1949506","url":null,"abstract":"Abstract The first purpose of this research is to study how and whether the joint use of lean production, value stream costing and accounting performance measures contribute to performance. Comparing a first-order and second-order structural equation model with survey data from 368 American production facilities, we find that lean production and management accounting practices (value stream costing and accounting measures of variance) collectively – rather than additively – affect performance. This finding indicates that organisations obtain greater performance by integrating lean production and management accounting practices into a system. The second purpose of this research is to determine whether the length of time organisations have employed lean production (‘time with lean’) moderates the joint effect of lean production and management accounting practices on performance. We find that the joint performance effect is positively moderated by the time with lean (i.e. we find a positive progressive learning curve). This contradicts the traditional wisdom on learning, which suggests that the benefits from learning are degressive. We argue that this positive moderation derives from the difficulty of understanding relations between multiple variables and the need for organisations to promote system-wide coherence via holistic changes.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":"51 1","pages":"641 - 657"},"PeriodicalIF":8.3,"publicationDate":"2021-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77749722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-09DOI: 10.1080/09537287.2021.1925172
G. Nguyen, Venkatesh Mani, Kieu Kha M., T. Papadopoulos
Abstract Social responsibility in labour-intensive industries of developing countries is always a controversial issue among academics and practitioners. Although several studies have conceptualised or empirically examined social responsibility in developing countries, there is limited research that investigates social responsibility issues spanning the entire manufacturing supply chain. Using stakeholder and Resource-Based View (RBV) theory, this study examines the barriers, enablers, motivations, and the current social responsibility facts of the garment and textile industry from knitting suppliers to apparel or garment manufacturer to fashion retailers in the Vietnamese context. The exploratory research design was used through content analysis, panel discussion, and in-depth interview. Our results show that most of the companies have not implemented any significant policies to promote social responsibility but only to adhere to labour law. Since managers realise the crucial social responsibility role in the performance of their operation, merchandisers and intermediaries have a compelling role in improving their social responsibility, and the role of government and NGOs seems to be faded. We also provide the managerial implications and directions for future research.
{"title":"Supply chain social responsibility in labour- intensive industries: a practitioner’s perspective","authors":"G. Nguyen, Venkatesh Mani, Kieu Kha M., T. Papadopoulos","doi":"10.1080/09537287.2021.1925172","DOIUrl":"https://doi.org/10.1080/09537287.2021.1925172","url":null,"abstract":"Abstract Social responsibility in labour-intensive industries of developing countries is always a controversial issue among academics and practitioners. Although several studies have conceptualised or empirically examined social responsibility in developing countries, there is limited research that investigates social responsibility issues spanning the entire manufacturing supply chain. Using stakeholder and Resource-Based View (RBV) theory, this study examines the barriers, enablers, motivations, and the current social responsibility facts of the garment and textile industry from knitting suppliers to apparel or garment manufacturer to fashion retailers in the Vietnamese context. The exploratory research design was used through content analysis, panel discussion, and in-depth interview. Our results show that most of the companies have not implemented any significant policies to promote social responsibility but only to adhere to labour law. Since managers realise the crucial social responsibility role in the performance of their operation, merchandisers and intermediaries have a compelling role in improving their social responsibility, and the role of government and NGOs seems to be faded. We also provide the managerial implications and directions for future research.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":"44 1","pages":"371 - 390"},"PeriodicalIF":8.3,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87439615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-05DOI: 10.1080/09537287.2021.1942282
Alessia Napoleone, A. Pozzetti, M. Macchi, Rasmus Andersen
Abstract The current uncertain and volatile business context is challenging firms worldwide, leading to the need to be responsive at a competitive cost. This trend is so substantial that it even affects industries traditionally competing in rather stable contexts, such as the process industry. Although the process industry includes multiple sectors with different technologies and processes, these share several aspects that make the industry as a whole distinctive to the discrete manufacturing industry. Based on a literature review, this study identifies and describes trends leading the process industry to the need for responsiveness, corresponding solutions to accommodate the need, and related challenges hindering the industrialization and diffusion of solutions in this industry. This study shows that trends, such as the uncertainty and volatility of market requirements, are challenging the process industry to develop reconfigurability solutions across multiple production levels. The development of reconfigurability solutions is hindered by modularity, integrability, co-ordination and collaboration challenges.
{"title":"Time to be responsive in the process industry: a literature-based analysis of trends of change, solutions and challenges","authors":"Alessia Napoleone, A. Pozzetti, M. Macchi, Rasmus Andersen","doi":"10.1080/09537287.2021.1942282","DOIUrl":"https://doi.org/10.1080/09537287.2021.1942282","url":null,"abstract":"Abstract The current uncertain and volatile business context is challenging firms worldwide, leading to the need to be responsive at a competitive cost. This trend is so substantial that it even affects industries traditionally competing in rather stable contexts, such as the process industry. Although the process industry includes multiple sectors with different technologies and processes, these share several aspects that make the industry as a whole distinctive to the discrete manufacturing industry. Based on a literature review, this study identifies and describes trends leading the process industry to the need for responsiveness, corresponding solutions to accommodate the need, and related challenges hindering the industrialization and diffusion of solutions in this industry. This study shows that trends, such as the uncertainty and volatility of market requirements, are challenging the process industry to develop reconfigurability solutions across multiple production levels. The development of reconfigurability solutions is hindered by modularity, integrability, co-ordination and collaboration challenges.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":"PP 1","pages":"572 - 586"},"PeriodicalIF":8.3,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84161601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-05DOI: 10.1080/09537287.2021.1940345
Nikola Suzić, C. Forza
Abstract Mass customization (MC), an organization’s ability to provide customized products and services that fulfil each customer’s idiosyncratic needs without considerable trade-offs in cost, delivery and quality, is gaining importance among companies. To help practitioners on the complex path towards MC, academic research has provided some guidelines for MC implementation. Recent reviews in this research sub-stream underlined the lack of MC implementation guidelines (MC-IGs) specifically developed for small and medium enterprises (SMEs) and also indicated the opportunity to use the design science research (DSR) strategy to develop new MC-IGs. The present research answers call for new MC-IGs by developing maturity grid-based MC implementation guidelines for SMEs that comply with the MC-IG building blocks and the MC-IG properties indicated by Suzić, Forza, et al.. The development of such guidelines followed a DSR strategy that included short- and long-term observational evaluations in two SMEs over three years.
{"title":"Development of mass customization implementation guidelines for small and medium enterprises (SMEs)","authors":"Nikola Suzić, C. Forza","doi":"10.1080/09537287.2021.1940345","DOIUrl":"https://doi.org/10.1080/09537287.2021.1940345","url":null,"abstract":"Abstract Mass customization (MC), an organization’s ability to provide customized products and services that fulfil each customer’s idiosyncratic needs without considerable trade-offs in cost, delivery and quality, is gaining importance among companies. To help practitioners on the complex path towards MC, academic research has provided some guidelines for MC implementation. Recent reviews in this research sub-stream underlined the lack of MC implementation guidelines (MC-IGs) specifically developed for small and medium enterprises (SMEs) and also indicated the opportunity to use the design science research (DSR) strategy to develop new MC-IGs. The present research answers call for new MC-IGs by developing maturity grid-based MC implementation guidelines for SMEs that comply with the MC-IG building blocks and the MC-IG properties indicated by Suzić, Forza, et al.. The development of such guidelines followed a DSR strategy that included short- and long-term observational evaluations in two SMEs over three years.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":"32 1","pages":"543 - 571"},"PeriodicalIF":8.3,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82866086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-02DOI: 10.1080/09537287.2021.1946328
J. Tarí, E. Claver-Cortés, M. García-Fernández
Abstract The aim of this study is to analyse how soft and hard quality management (QM) practices enhance incremental and radical product and process innovation, and operational and financial results, and the paths from QM to financial results via innovation and operational results. The paper examines these relationships applying Partial Least Squares (PLS) and using data from 105 firms. The results show that soft QM is associated with hard practices, with incremental and radical product and process innovation, and with operational and financial results, but hard issues have no positive association with innovation, nor with operational and financial results. The results also show the path from soft QM to: (a) operational results via innovation, and (b) financial results via innovation, via operational results, and via both innovation and operational results. This study adds to the literature the mediating role of both innovation and operational results on the relationships between soft QM and financial results. It contributes to practitioners by showing the importance of both innovation and operational results to strength the association between QM and financial results, and the different paths from QM to financial results.
{"title":"How quality management can enhance performance? A model of relationships mediated by innovation","authors":"J. Tarí, E. Claver-Cortés, M. García-Fernández","doi":"10.1080/09537287.2021.1946328","DOIUrl":"https://doi.org/10.1080/09537287.2021.1946328","url":null,"abstract":"Abstract The aim of this study is to analyse how soft and hard quality management (QM) practices enhance incremental and radical product and process innovation, and operational and financial results, and the paths from QM to financial results via innovation and operational results. The paper examines these relationships applying Partial Least Squares (PLS) and using data from 105 firms. The results show that soft QM is associated with hard practices, with incremental and radical product and process innovation, and with operational and financial results, but hard issues have no positive association with innovation, nor with operational and financial results. The results also show the path from soft QM to: (a) operational results via innovation, and (b) financial results via innovation, via operational results, and via both innovation and operational results. This study adds to the literature the mediating role of both innovation and operational results on the relationships between soft QM and financial results. It contributes to practitioners by showing the importance of both innovation and operational results to strength the association between QM and financial results, and the different paths from QM to financial results.","PeriodicalId":20627,"journal":{"name":"Production Planning & Control","volume":"26 1","pages":"587 - 603"},"PeriodicalIF":8.3,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79244058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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