M. Seddigh, Sina Shokoohyar, S. Ghanadpour, Hossein Moradi
This research aims to explore the challenges and opportunities associated with the deployment of social media to improve supply chain sustainability. This exploratory research can lead to deeper insights regarding the opportunities as well as problems experienced due to the use of social media in supply chains. The study selected a three-phase Delphi study approach with both qualitative and quantitative analyses. This study recorded feedback from 34 experts with sufficient knowledge of information technology and sustainable pharmaceutical supply chain. 48 independent constructs separately in enterprise and public media were extracted. All the constructs were ranked, ultimately leading to 10 major constructs which played a significantly crucial role in the sustainability of supply chains. While social media challenges and opportunities in supply chain sustainability are discussed in this article, further studies on social and environmental sustainability and providing operational solutions to these challenges are still needed. No paper has directly extracted the impacts of social media specifically on enterprise and public media individually. While most papers mainly focused on economic and environmental sustainability, this paper pays close attention to sustainability
{"title":"Pharmaceutical Supply Chain Sustainability under the Torchlight of Social Media","authors":"M. Seddigh, Sina Shokoohyar, S. Ghanadpour, Hossein Moradi","doi":"10.31387/oscm0510361","DOIUrl":"https://doi.org/10.31387/oscm0510361","url":null,"abstract":"This research aims to explore the challenges and opportunities associated with the deployment of social media to improve supply chain sustainability. This exploratory research can lead to deeper insights regarding the opportunities as well as problems experienced due to the use of social media in supply chains. The study selected a three-phase Delphi study approach with both qualitative and quantitative analyses. This study recorded feedback from 34 experts with sufficient knowledge of information technology and sustainable pharmaceutical supply chain. 48 independent constructs separately in enterprise and public media were extracted. All the constructs were ranked, ultimately leading to 10 major constructs which played a significantly crucial role in the sustainability of supply chains. While social media challenges and opportunities in supply chain sustainability are discussed in this article, further studies on social and environmental sustainability and providing operational solutions to these challenges are still needed. No paper has directly extracted the impacts of social media specifically on enterprise and public media individually. While most papers mainly focused on economic and environmental sustainability, this paper pays close attention to sustainability","PeriodicalId":43857,"journal":{"name":"Operations and Supply Chain Management-An International Journal","volume":"108 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80823614","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}
A. Akaaboune, Ammar Elhassan, Ghazanfar Latif, J. Alghazo
Accurate and speedy automatic recognition of Statistical Process Control Chart Patterns (SPCC) is a vital task for supervising manufacturing processes. This is done for better control to produce high-quality products. The motivation of this work is to increase the recognition accuracy of concurrent patterns. In this paper, a novel approach is proposed, using neural networks (NN) with Wavelet Analysis (WA) and Principal Component Analysis (PCA) to address the (CCP) recognition problem in concurrent patterns. Eight types of concurrent patterns based on a combination of normal patterns and unnatural patterns are addressed namely; stratification, systematic, increasing trend, decreasing trend, upshift, downshift, and cyclic. Thirteen statistical and shape features are proposed as inputs to the model. The main contribution of this work is the enhancement of the performance of NN through the augmentation of the signal (control chart data) using WA and proposing better extracted statistical features through the use of PCA. Our work shows that improving the original signal and using the right features improves the accuracy of the CCP recognition significantly. The proposed approach has an overall accuracy of 96.3%. The method was compared with four other methods from the previous literature, and it outperformed these methods.
{"title":"PCA-WA Based Approach for Concurrent Control Chart Pattern Recognition","authors":"A. Akaaboune, Ammar Elhassan, Ghazanfar Latif, J. Alghazo","doi":"10.31387/oscm0510360","DOIUrl":"https://doi.org/10.31387/oscm0510360","url":null,"abstract":"Accurate and speedy automatic recognition of Statistical Process Control Chart Patterns (SPCC) is a vital task for supervising manufacturing processes. This is done for better control to produce high-quality products. The motivation of this work is to increase the recognition accuracy of concurrent patterns. In this paper, a novel approach is proposed, using neural networks (NN) with Wavelet Analysis (WA) and Principal Component Analysis (PCA) to address the (CCP) recognition problem in concurrent patterns. Eight types of concurrent patterns based on a combination of normal patterns and unnatural patterns are addressed namely; stratification, systematic, increasing trend, decreasing trend, upshift, downshift, and cyclic. Thirteen statistical and shape features are proposed as inputs to the model. The main contribution of this work is the enhancement of the performance of NN through the augmentation of the signal (control chart data) using WA and proposing better extracted statistical features through the use of PCA. Our work shows that improving the original signal and using the right features improves the accuracy of the CCP recognition significantly. The proposed approach has an overall accuracy of 96.3%. The method was compared with four other methods from the previous literature, and it outperformed these methods.","PeriodicalId":43857,"journal":{"name":"Operations and Supply Chain Management-An International Journal","volume":"12 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87288500","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}
This paper explored the relationships between the United Nations Sustainable Development Goals (UNSDG) and social sustainability in supply chain management (SCM). Sustainable development is a philosophy that seeks to achieve human development goals while protecting the ability of natural systems to provide natural resources and ecosystems for all economies and societies. The desired state of society is where living conditions and resources meet human needs while preserving the integrity and stability of the natural systems. Most of the work on sustainability in SCM is on economic and environmental sustainability. Only eight papers were found that reflected social sustainability. Nevertheless, social sustainability significantly impacts supply chain management, such as employee engagement, which leads to a decrease in waste, and a shorter lead time from manufacturing locations to markets. The study is based on an analysis of bibliometric data published in the Scopus database between 1991 and 2020. This study will help researchers get new perspectives on sustainable supply chains. Societal well-being is the goal of the UN SDGs. Organizations and countries can address them by recognizing the connections between UNSDGs and SCM. This is the first study to explore the literature available on UNSDG and its relationship with supply chain management.
{"title":"Supply Chain Management and the United Nations Sustainable Development Goals","authors":"Ashutosh Srivastava, V. Vyas, Amulya Gurtu","doi":"10.31387/oscm0510362","DOIUrl":"https://doi.org/10.31387/oscm0510362","url":null,"abstract":"This paper explored the relationships between the United Nations Sustainable Development Goals (UNSDG) and social sustainability in supply chain management (SCM). Sustainable development is a philosophy that seeks to achieve human development goals while protecting the ability of natural systems to provide natural resources and ecosystems for all economies and societies. The desired state of society is where living conditions and resources meet human needs while preserving the integrity and stability of the natural systems. Most of the work on sustainability in SCM is on economic and environmental sustainability. Only eight papers were found that reflected social sustainability. Nevertheless, social sustainability significantly impacts supply chain management, such as employee engagement, which leads to a decrease in waste, and a shorter lead time from manufacturing locations to markets. The study is based on an analysis of bibliometric data published in the Scopus database between 1991 and 2020. This study will help researchers get new perspectives on sustainable supply chains. Societal well-being is the goal of the UN SDGs. Organizations and countries can address them by recognizing the connections between UNSDGs and SCM. This is the first study to explore the literature available on UNSDG and its relationship with supply chain management.","PeriodicalId":43857,"journal":{"name":"Operations and Supply Chain Management-An International Journal","volume":"28 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84365224","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}
Miranda Armie, Kate Goodyear, Mackenzie Summers, Janaina Siegler
This paper investigates Honda Motor Co of Japan and over 50+ supply chain network relationships between suppliers and customers. These companies represent the industry through trading, specialty retail, road & rail, professional services, machinery, food products, electronic equipment, diversified financial, automobiles, and auto components. Using data from Bloomberg terminals, Mergent Online, Hoover Academics, and IBIS World, our goal was to understand Honda's supply chain risks and the capabilities needed to overcome them, in conjunction with their suppliers, customers' locations, and industry differentiators. We aimed to understand how they performed through the many disruptions of the Covid-19 pandemic. Results showed that the main risks to Honda Motor Co are in three categories: Organizational (credit, agency), Industry (product market, input market), and Environmental (macroeconomic). The core capabilities that Honda Motor Co used to overcome these risks are Flexibility (financial strength), Velocity (efficiency, anticipation, security), and Collaboration (market position). As a market leader, Honda has demonstrated resilience and readiness to recover from these disruptions.
{"title":"The Complexities of Honda’s Supply Chain & Associated Risks: Understanding Suppliers & Customers, Industry Differentiators, and Market Locations","authors":"Miranda Armie, Kate Goodyear, Mackenzie Summers, Janaina Siegler","doi":"10.31387/oscm0510363","DOIUrl":"https://doi.org/10.31387/oscm0510363","url":null,"abstract":"This paper investigates Honda Motor Co of Japan and over 50+ supply chain network relationships between suppliers and customers. These companies represent the industry through trading, specialty retail, road & rail, professional services, machinery, food products, electronic equipment, diversified financial, automobiles, and auto components. Using data from Bloomberg terminals, Mergent Online, Hoover Academics, and IBIS World, our goal was to understand Honda's supply chain risks and the capabilities needed to overcome them, in conjunction with their suppliers, customers' locations, and industry differentiators. We aimed to understand how they performed through the many disruptions of the Covid-19 pandemic. Results showed that the main risks to Honda Motor Co are in three categories: Organizational (credit, agency), Industry (product market, input market), and Environmental (macroeconomic). The core capabilities that Honda Motor Co used to overcome these risks are Flexibility (financial strength), Velocity (efficiency, anticipation, security), and Collaboration (market position). As a market leader, Honda has demonstrated resilience and readiness to recover from these disruptions.","PeriodicalId":43857,"journal":{"name":"Operations and Supply Chain Management-An International Journal","volume":"232 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77560696","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 : 2022-10-05DOI: 10.1108/scm-03-2022-0101
C. Colon, S. Hochrainer-Stigler
Purpose Global and interconnected supply chains are increasingly exposed to systemic risks, whereby individual failures propagate across firms, sectors and borders. Systemic risks have emerged from the decisions of individual firms, e.g., outsourcing and buffer reduction, and are now beyond their control. This paper aims to identify appropriate approaches to mitigating those risks. Design/methodology/approach Systemic risks require analyzing supply chains beyond a dyadic perspective. This study approaches the problem through the lenses of complex systems and network theories. Drawing on the lessons learned from other systemic-risk-prone systems, e.g. energy and financial networks, both in research and practice, this study analyzes the adequate level of governance to monitor and manage systemic risks in supply chains. Findings The authors argue that governance institutions should be mandated to overview and reduce systemic risks in supply chains from the top down, as central bankers do for the financial system. Using firm-level data and tools from network analysis and system dynamics, they could quantify systemic risks, identify risk-prone interconnections in supply chains and design mitigating measures. This top-down approach would complement the bottom-up supply chain management approach and could help insurers design policies for contingent business interruptions. Originality/value Instead of looking at supply chains purely from the firms’ angle, the perspective of insurers and governments is brought in to reflect on the governance of risks.
{"title":"Systemic risks in supply chains: a need for system-level governance","authors":"C. Colon, S. Hochrainer-Stigler","doi":"10.1108/scm-03-2022-0101","DOIUrl":"https://doi.org/10.1108/scm-03-2022-0101","url":null,"abstract":"\u0000Purpose\u0000Global and interconnected supply chains are increasingly exposed to systemic risks, whereby individual failures propagate across firms, sectors and borders. Systemic risks have emerged from the decisions of individual firms, e.g., outsourcing and buffer reduction, and are now beyond their control. This paper aims to identify appropriate approaches to mitigating those risks.\u0000\u0000\u0000Design/methodology/approach\u0000Systemic risks require analyzing supply chains beyond a dyadic perspective. This study approaches the problem through the lenses of complex systems and network theories. Drawing on the lessons learned from other systemic-risk-prone systems, e.g. energy and financial networks, both in research and practice, this study analyzes the adequate level of governance to monitor and manage systemic risks in supply chains.\u0000\u0000\u0000Findings\u0000The authors argue that governance institutions should be mandated to overview and reduce systemic risks in supply chains from the top down, as central bankers do for the financial system. Using firm-level data and tools from network analysis and system dynamics, they could quantify systemic risks, identify risk-prone interconnections in supply chains and design mitigating measures. This top-down approach would complement the bottom-up supply chain management approach and could help insurers design policies for contingent business interruptions.\u0000\u0000\u0000Originality/value\u0000Instead of looking at supply chains purely from the firms’ angle, the perspective of insurers and governments is brought in to reflect on the governance of risks.\u0000","PeriodicalId":43857,"journal":{"name":"Operations and Supply Chain Management-An International Journal","volume":"95 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89098558","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 : 2022-10-04DOI: 10.1108/scm-04-2022-0156
Y. Zhang, Zelong Wei, Jie Gao
Purpose To enhance the value of servitization in customers’ problem-solving, this study aims to examine and compare the effects of manufacturers’ service breadth and depth strategies on their customer-based performance. It also explores how these effects are influenced by technological turbulence and a manufacturer’s supply chain position. Design/methodology/approach Based on data collected from 208 Chinese manufacturers, this study uses a three-stage least square approach to test the hypotheses focusing on the effects of manufacturers’ service strategies on customer-based performance and the moderating roles of technological turbulence and supply chain position. Findings The study reveals that manufacturers’ service depth has a significant positive effect on their customer-based performance. However, service breadth has an insignificant effect on the performance. Furthermore, technological turbulence positively moderates the effects of both service breadth and depth, and supply chain position only positively moderates the effect of service depth. Practical implications Manufacturers should focus on increasing service depth to improve their customer-based performance. Manufacturers in technically turbulent environments can attain ample benefits from both service breadth and depth, and those located downstream in a supply chain can benefit more from service depth. Originality/value By bringing a problem-solving perspective into the servitization literature, this study adds empirical insights to the impact of manufacturers’ service breadth and depth strategies on customer outcomes. The study also answers calls for insights into the environmental and structural contingencies of servitization.
{"title":"Service breadth or depth? A customer perspective","authors":"Y. Zhang, Zelong Wei, Jie Gao","doi":"10.1108/scm-04-2022-0156","DOIUrl":"https://doi.org/10.1108/scm-04-2022-0156","url":null,"abstract":"\u0000Purpose\u0000To enhance the value of servitization in customers’ problem-solving, this study aims to examine and compare the effects of manufacturers’ service breadth and depth strategies on their customer-based performance. It also explores how these effects are influenced by technological turbulence and a manufacturer’s supply chain position.\u0000\u0000\u0000Design/methodology/approach\u0000Based on data collected from 208 Chinese manufacturers, this study uses a three-stage least square approach to test the hypotheses focusing on the effects of manufacturers’ service strategies on customer-based performance and the moderating roles of technological turbulence and supply chain position.\u0000\u0000\u0000Findings\u0000The study reveals that manufacturers’ service depth has a significant positive effect on their customer-based performance. However, service breadth has an insignificant effect on the performance. Furthermore, technological turbulence positively moderates the effects of both service breadth and depth, and supply chain position only positively moderates the effect of service depth.\u0000\u0000\u0000Practical implications\u0000Manufacturers should focus on increasing service depth to improve their customer-based performance. Manufacturers in technically turbulent environments can attain ample benefits from both service breadth and depth, and those located downstream in a supply chain can benefit more from service depth.\u0000\u0000\u0000Originality/value\u0000By bringing a problem-solving perspective into the servitization literature, this study adds empirical insights to the impact of manufacturers’ service breadth and depth strategies on customer outcomes. The study also answers calls for insights into the environmental and structural contingencies of servitization.\u0000","PeriodicalId":43857,"journal":{"name":"Operations and Supply Chain Management-An International Journal","volume":"41 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77126258","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 : 2022-08-30DOI: 10.1108/scm-03-2022-0109
Sven Markus, P. Buijs
Purpose This paper aims to contribute to the debate about the value of blockchain for supply chain management by assessing empirical evidence on the relationship between blockchain and supply chain performance. Design/methodology/approach The authors conducted a structured review of the academic literature to identify and assess papers providing empirical insight on operational blockchain applications. The authors complement the findings from this review with primary empirical data from 11 interviews with blockchain providers, users and experts involved in four recent projects. Findings The paper presents an integrated research framework that illustrates the impact of blockchain on supply chain performance. The findings highlight that blockchain can affect supply chain performance directly – via one of its core technological features – and indirectly via the broader business project through which blockchain technology is implemented. Practical implications Insights from this paper should provide managers with a more nuanced understanding of how blockchain technology can be leveraged to address important supply chain management challenges. Originality/value Prior research addressing the relationship between blockchain and supply chain performance mostly discusses potential performance effects of blockchain, presents individual blockchain applications and/or provides little explanation for how the core technological features of blockchain affect supply chain performance. This paper systematically assesses the ways in which blockchain can affect supply chain performance. In doing so, it goes beyond the initial hype around blockchain technology while countering some of the more recent critiques.
{"title":"Beyond the hype: how blockchain affects supply chain performance","authors":"Sven Markus, P. Buijs","doi":"10.1108/scm-03-2022-0109","DOIUrl":"https://doi.org/10.1108/scm-03-2022-0109","url":null,"abstract":"\u0000Purpose\u0000This paper aims to contribute to the debate about the value of blockchain for supply chain management by assessing empirical evidence on the relationship between blockchain and supply chain performance.\u0000\u0000\u0000Design/methodology/approach\u0000The authors conducted a structured review of the academic literature to identify and assess papers providing empirical insight on operational blockchain applications. The authors complement the findings from this review with primary empirical data from 11 interviews with blockchain providers, users and experts involved in four recent projects.\u0000\u0000\u0000Findings\u0000The paper presents an integrated research framework that illustrates the impact of blockchain on supply chain performance. The findings highlight that blockchain can affect supply chain performance directly – via one of its core technological features – and indirectly via the broader business project through which blockchain technology is implemented.\u0000\u0000\u0000Practical implications\u0000Insights from this paper should provide managers with a more nuanced understanding of how blockchain technology can be leveraged to address important supply chain management challenges.\u0000\u0000\u0000Originality/value\u0000Prior research addressing the relationship between blockchain and supply chain performance mostly discusses potential performance effects of blockchain, presents individual blockchain applications and/or provides little explanation for how the core technological features of blockchain affect supply chain performance. This paper systematically assesses the ways in which blockchain can affect supply chain performance. In doing so, it goes beyond the initial hype around blockchain technology while countering some of the more recent critiques.\u0000","PeriodicalId":43857,"journal":{"name":"Operations and Supply Chain Management-An International Journal","volume":"29 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73941152","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 : 2022-08-29DOI: 10.1108/scm-12-2021-0551
Irfan Irfan, Alan K. M. Au, Faisal Khurshid, F. Chan
Purpose Drawing on organizational learning and dynamic capabilities literature, this study aims to explore how suppliers from traditional emerging economies (STEE) can acquire, assimilate and use new knowledge essential for the development of production and marketing capabilities. These capabilities then facilitate suppliers in climbing the value chain from B-to-B to B-to-C. Design/methodology/approach The study adopted a longitudinal and multiple case study design to examine the practices of suppliers operating in a traditional emerging economy setting. This study selected Pakistan textile industry as an empirical setting, which is a predominantly supplier market for global buyers. Data sources entail semi-structured interviews with top executives and senior-level managers in four case firms and secondary data obtained from diverse sources. Findings The study identified transitionary phases of capabilities development that are facilitated by boundary-spanning knowledge acquisition and transformation in a dynamic manner. These capabilities are essential for a supplier’s entry into downstream international markets (i.e. launching its own products/brands in the end consumers’ market). Practical implications The findings could help managers in STEEs to understand the strategic importance of supply chain ties in their learning and capabilities development. It also provides strategic insights on what, how and why involved parties do engage over an extended period of time. Moreover, the findings of this study could help other firms to know and adopt the right type of technology(s) and systems that can help them reduce the technological gap in producing and marketing market-winning products. Originality/value This study advances the recent academic discussion that focusses on learning by supplying and the value-chain movement of suppliers (i.e. B-to-C) from their B-to-B engagements. The findings identified the vital and beneficial role of long-term relationships with global value chain partners in learning and capabilities development that led to value creation in the traditional emerging economy.
{"title":"Learning by supplying to climb the value chain: suppliers’ transition from B-to-B to B-to-C","authors":"Irfan Irfan, Alan K. M. Au, Faisal Khurshid, F. Chan","doi":"10.1108/scm-12-2021-0551","DOIUrl":"https://doi.org/10.1108/scm-12-2021-0551","url":null,"abstract":"\u0000Purpose\u0000Drawing on organizational learning and dynamic capabilities literature, this study aims to explore how suppliers from traditional emerging economies (STEE) can acquire, assimilate and use new knowledge essential for the development of production and marketing capabilities. These capabilities then facilitate suppliers in climbing the value chain from B-to-B to B-to-C.\u0000\u0000\u0000Design/methodology/approach\u0000The study adopted a longitudinal and multiple case study design to examine the practices of suppliers operating in a traditional emerging economy setting. This study selected Pakistan textile industry as an empirical setting, which is a predominantly supplier market for global buyers. Data sources entail semi-structured interviews with top executives and senior-level managers in four case firms and secondary data obtained from diverse sources.\u0000\u0000\u0000Findings\u0000The study identified transitionary phases of capabilities development that are facilitated by boundary-spanning knowledge acquisition and transformation in a dynamic manner. These capabilities are essential for a supplier’s entry into downstream international markets (i.e. launching its own products/brands in the end consumers’ market).\u0000\u0000\u0000Practical implications\u0000The findings could help managers in STEEs to understand the strategic importance of supply chain ties in their learning and capabilities development. It also provides strategic insights on what, how and why involved parties do engage over an extended period of time. Moreover, the findings of this study could help other firms to know and adopt the right type of technology(s) and systems that can help them reduce the technological gap in producing and marketing market-winning products.\u0000\u0000\u0000Originality/value\u0000This study advances the recent academic discussion that focusses on learning by supplying and the value-chain movement of suppliers (i.e. B-to-C) from their B-to-B engagements. The findings identified the vital and beneficial role of long-term relationships with global value chain partners in learning and capabilities development that led to value creation in the traditional emerging economy.\u0000","PeriodicalId":43857,"journal":{"name":"Operations and Supply Chain Management-An International Journal","volume":"27 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80916533","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 : 2022-08-19DOI: 10.1108/scm-02-2022-0059
L. Lerman, G. B. Benitez, J. Müller, Paulo Renato de Sousa, A. G. Frank
Purpose While it is known that digital transformation facilitates data flow in supply chains, its importance on green supply chain management (GSCM) has not been investigated concisely. This paper aims to expand the theory of digital transformation in GSCM by investigating the interconnections between these concepts and providing an integrative view of a smart green supply chain management (Smart GSCM). Design/methodology/approach This adopts a configurational perspective on digital transformation and supply chain management (SCM) to investigate the different dimensions of Smart GSCM and their contribution to green performance. Therefore, this paper analyzes data from 473 manufacturing companies using regression techniques. Findings The results show how smart supply chain contributes to green performance through managing green relationships (external GSCM activities) and establishing green operations (internal GSCM activities). Furthermore, this paper finds partial mediating effects for external and internal GSCM activities on green performance. These findings show that smart supply chain (i.e. digital transformation strategy and front-end technologies, supported by several back-end technologies) is directly associated with higher levels of GSCM. It is specifically associated with one of the internal dimensions of green operations, namely, green purchasing activities. Hence, the findings suggest that digital transformation alone is insufficient to achieve green performance, needing a GSCM configuration to mediate this effect. Practical implications This study calls attention to how managers should integrate these at least three different perspectives of SCM: digital transformation, external relationships and internal operations to increase green performance. Originality/value As the main contribution, this study provides a configurational and holistic understanding of the different dimensions and mechanisms in Smart GSCM.
{"title":"Smart green supply chain management: a configurational approach to enhance green performance through digital transformation","authors":"L. Lerman, G. B. Benitez, J. Müller, Paulo Renato de Sousa, A. G. Frank","doi":"10.1108/scm-02-2022-0059","DOIUrl":"https://doi.org/10.1108/scm-02-2022-0059","url":null,"abstract":"\u0000Purpose\u0000While it is known that digital transformation facilitates data flow in supply chains, its importance on green supply chain management (GSCM) has not been investigated concisely. This paper aims to expand the theory of digital transformation in GSCM by investigating the interconnections between these concepts and providing an integrative view of a smart green supply chain management (Smart GSCM).\u0000\u0000\u0000Design/methodology/approach\u0000This adopts a configurational perspective on digital transformation and supply chain management (SCM) to investigate the different dimensions of Smart GSCM and their contribution to green performance. Therefore, this paper analyzes data from 473 manufacturing companies using regression techniques.\u0000\u0000\u0000Findings\u0000The results show how smart supply chain contributes to green performance through managing green relationships (external GSCM activities) and establishing green operations (internal GSCM activities). Furthermore, this paper finds partial mediating effects for external and internal GSCM activities on green performance. These findings show that smart supply chain (i.e. digital transformation strategy and front-end technologies, supported by several back-end technologies) is directly associated with higher levels of GSCM. It is specifically associated with one of the internal dimensions of green operations, namely, green purchasing activities. Hence, the findings suggest that digital transformation alone is insufficient to achieve green performance, needing a GSCM configuration to mediate this effect.\u0000\u0000\u0000Practical implications\u0000This study calls attention to how managers should integrate these at least three different perspectives of SCM: digital transformation, external relationships and internal operations to increase green performance.\u0000\u0000\u0000Originality/value\u0000As the main contribution, this study provides a configurational and holistic understanding of the different dimensions and mechanisms in Smart GSCM.\u0000","PeriodicalId":43857,"journal":{"name":"Operations and Supply Chain Management-An International Journal","volume":"82 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89011327","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 : 2022-08-16DOI: 10.1108/scm-12-2021-0547
Jianlan Zhong, Han Cheng, Xiaowei Chen, Fu Jia
Purpose This paper aims to systematically review the literature on quality management in agri-food supply chains (SCs) and propose an integrated conceptual framework. Design/methodology/approach A systematic literature review that analyses 93 papers in peer-reviewed academic journals published from 1996 to November 2021 is conducted. A conceptual model is advanced. Findings Based on a hierarchy of capabilities perspective, the authors develop an integrated conceptual framework in which SC quality (SCQ) management practices promote three levels of SC dynamic capabilities, which in turn lead to agri-food SCQ performance. Originality/value The authors propose a hierarchy of capabilities perspective of quality management in agri-food SCs and develop a conceptual framework. Furthermore, a number of propositions based on dynamic capabilities and the review findings are provided. Four future research directions are presented.
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