Pub Date : 2021-10-02DOI: 10.1080/16258312.2021.1984166
A. Callado, L. Jack
ABSTRACT The purpose of this paper is to analyse the extent to which companies’ roles in supply chain coordination mechanisms affect supply chain (S.C.) performance measurement processes. It addresses the gap in the S.C. performance measurement literature for empirical studies of participant roles across whole supply chains. A survey of 114 individual agribusiness companies was undertaken in Brazil, and it was found that both performance measurement process and performance indicators selection were statistically related to the role played by companies in supply chain coordination mechanisms. Usage of performance indicators regarding new customers and quality was also statistically related to the role played by companies in supply chain mechanisms, as was the overall usage of internal processes performance indicators. The findings also suggest that the specificities of an S.C. coordination mechanism could be related to the design and implementation of S.C. management control practices, rather than being based only on contracts and formal long term agreements.
{"title":"Supply chain roles and performance measurement procedures: evidence from Brazilian agribusiness companies","authors":"A. Callado, L. Jack","doi":"10.1080/16258312.2021.1984166","DOIUrl":"https://doi.org/10.1080/16258312.2021.1984166","url":null,"abstract":"ABSTRACT The purpose of this paper is to analyse the extent to which companies’ roles in supply chain coordination mechanisms affect supply chain (S.C.) performance measurement processes. It addresses the gap in the S.C. performance measurement literature for empirical studies of participant roles across whole supply chains. A survey of 114 individual agribusiness companies was undertaken in Brazil, and it was found that both performance measurement process and performance indicators selection were statistically related to the role played by companies in supply chain coordination mechanisms. Usage of performance indicators regarding new customers and quality was also statistically related to the role played by companies in supply chain mechanisms, as was the overall usage of internal processes performance indicators. The findings also suggest that the specificities of an S.C. coordination mechanism could be related to the design and implementation of S.C. management control practices, rather than being based only on contracts and formal long term agreements.","PeriodicalId":22004,"journal":{"name":"Supply Chain Forum: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76720200","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 : 2021-10-02DOI: 10.1080/16258312.2021.1989266
Marc Wiedenmann, A. Größler
ABSTRACT Companies are increasingly exposed to the risk profile of their supply network and managing this risk is gaining in importance in a tightly interconnected global and competitive business environment. More frequent and more severe supply disruptions have led to a growing interest in assessing their potential consequences. Therefore, in this paper four supply disruption indicators are derived to proactively assess the potential financial impact of supply disruptions. The stochastic nature of potential supply disruptions is modelled by adopting a Monte-Carlo and Value-at-Risk simulation approach: Quantitative, objective data and qualitative, subjective estimates by managers are combined to improve proactive risk-related decision-making at a company level. The developed methodology for deriving the supply disruption indicators is applied to a case study in a German manufacturing company in order to quantitatively assess differences in the disruption risk structures of various supply relations. The results of the study show that a Value-at-Risk approach based on Monte-Carlo simulation can be effectively adopted to assist supply managers in proactively identifying suitable risk mitigation strategies.
{"title":"Proactive disruption impact assessment in manufacturing supply networks","authors":"Marc Wiedenmann, A. Größler","doi":"10.1080/16258312.2021.1989266","DOIUrl":"https://doi.org/10.1080/16258312.2021.1989266","url":null,"abstract":"ABSTRACT Companies are increasingly exposed to the risk profile of their supply network and managing this risk is gaining in importance in a tightly interconnected global and competitive business environment. More frequent and more severe supply disruptions have led to a growing interest in assessing their potential consequences. Therefore, in this paper four supply disruption indicators are derived to proactively assess the potential financial impact of supply disruptions. The stochastic nature of potential supply disruptions is modelled by adopting a Monte-Carlo and Value-at-Risk simulation approach: Quantitative, objective data and qualitative, subjective estimates by managers are combined to improve proactive risk-related decision-making at a company level. The developed methodology for deriving the supply disruption indicators is applied to a case study in a German manufacturing company in order to quantitatively assess differences in the disruption risk structures of various supply relations. The results of the study show that a Value-at-Risk approach based on Monte-Carlo simulation can be effectively adopted to assist supply managers in proactively identifying suitable risk mitigation strategies.","PeriodicalId":22004,"journal":{"name":"Supply Chain Forum: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83377695","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 : 2021-09-08DOI: 10.1080/16258312.2021.1973872
M. Muhammad, L. Kerbache, Adel Elomri
ABSTRACT The COVID-19 pandemic impact on the global supply systems is continuously on the rise creating an increasing ripple effect across the automotive supply chain network. In this disruptive setting, Additive manufacturing (AM) is perceived by many supply chain professionals as well as by many global automakers amongst best options to handle the disruptions and boost the automotive supply chain resilience. This research is dedicated to analysis up to which extent Additive manufacturing (AM) is a miraculous remedy to automotive supply chain disruptions. To this end, we use the Indian automotive industry as case-model to identify major barriers towards AM wide deployment and derive recommendations on how AM can be successfully used to cope with automotive supply chain disruptions.
{"title":"Potential of additive manufacturing for upstream automotive supply chains","authors":"M. Muhammad, L. Kerbache, Adel Elomri","doi":"10.1080/16258312.2021.1973872","DOIUrl":"https://doi.org/10.1080/16258312.2021.1973872","url":null,"abstract":"ABSTRACT The COVID-19 pandemic impact on the global supply systems is continuously on the rise creating an increasing ripple effect across the automotive supply chain network. In this disruptive setting, Additive manufacturing (AM) is perceived by many supply chain professionals as well as by many global automakers amongst best options to handle the disruptions and boost the automotive supply chain resilience. This research is dedicated to analysis up to which extent Additive manufacturing (AM) is a miraculous remedy to automotive supply chain disruptions. To this end, we use the Indian automotive industry as case-model to identify major barriers towards AM wide deployment and derive recommendations on how AM can be successfully used to cope with automotive supply chain disruptions.","PeriodicalId":22004,"journal":{"name":"Supply Chain Forum: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90850379","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 : 2021-09-05DOI: 10.1080/16258312.2021.1967081
Raheel Siddiqui, Muhammad Azmat, Shehzad Ahmed, S. Kummer
ABSTRACT In the era of modern technology, the competitive paradigm among organisations is changing at an unprecedented rate. New success measures are applied to the organisation’s supply chain performance to outperform the competition. However, this lead can only be obtained and sustained if the organisation has an effective and efficient supply chain and an appropriate forecasting technique. Thus, this study presents the demand-forecasting model, i.e., a good fit for the pharmaceutical sector, and shows promising results. Through this study, it is observed that combining forecasting algorithms can result in greater forecasting accuracies. Therefore, a combined forecasting technique ARIMA-HW hybrid1 i.e. (ARHOW) combines the Autoregressive Integrated Moving Average and Holt’ s-Winter model. The empirical findings confirm that ARHOW performs better than widely used forecasting techniques ARIMA, Holts Winter, ETS and Theta. The results of the study indicate that pharmaceutical companies can adopt this model for improved demand forecasting.
{"title":"A hybrid demand forecasting model for greater forecasting accuracy: the case of the pharmaceutical industry","authors":"Raheel Siddiqui, Muhammad Azmat, Shehzad Ahmed, S. Kummer","doi":"10.1080/16258312.2021.1967081","DOIUrl":"https://doi.org/10.1080/16258312.2021.1967081","url":null,"abstract":"ABSTRACT In the era of modern technology, the competitive paradigm among organisations is changing at an unprecedented rate. New success measures are applied to the organisation’s supply chain performance to outperform the competition. However, this lead can only be obtained and sustained if the organisation has an effective and efficient supply chain and an appropriate forecasting technique. Thus, this study presents the demand-forecasting model, i.e., a good fit for the pharmaceutical sector, and shows promising results. Through this study, it is observed that combining forecasting algorithms can result in greater forecasting accuracies. Therefore, a combined forecasting technique ARIMA-HW hybrid1 i.e. (ARHOW) combines the Autoregressive Integrated Moving Average and Holt’ s-Winter model. The empirical findings confirm that ARHOW performs better than widely used forecasting techniques ARIMA, Holts Winter, ETS and Theta. The results of the study indicate that pharmaceutical companies can adopt this model for improved demand forecasting.","PeriodicalId":22004,"journal":{"name":"Supply Chain Forum: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78806803","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 : 2021-09-01DOI: 10.1080/16258312.2021.1964333
L. D. Smith, Anthony Vatterott, Wesley S. Boyce
ABSTRACT Despite the popular notion that ‘supply chains rather than individual firms compete’, an intensive review of supply-chain performance metrics proposed in published works reveals that most measures apply to individual supply-chain participants and relationships with specific supply-chain partners, rather than to the supply chain as a whole. Indicators of supply-chain risk (or stability) tend to have a broader view but are less developed and receive less attention by managers of supply-chain functions. Tying measures to strategic concepts helps to show interrelationships among strategic goals and the trade-offs that can occur as particular strategies are employed to improve supply-chain performance. We find that more research is needed on how to assess competitive dynamics and opportunism within supply chains and to assess the costs and risks associated with international business activity.
{"title":"Assessing Performance and Risk in Complex Supply Chains and Tying Performance Measures to Strategic Concepts","authors":"L. D. Smith, Anthony Vatterott, Wesley S. Boyce","doi":"10.1080/16258312.2021.1964333","DOIUrl":"https://doi.org/10.1080/16258312.2021.1964333","url":null,"abstract":"ABSTRACT Despite the popular notion that ‘supply chains rather than individual firms compete’, an intensive review of supply-chain performance metrics proposed in published works reveals that most measures apply to individual supply-chain participants and relationships with specific supply-chain partners, rather than to the supply chain as a whole. Indicators of supply-chain risk (or stability) tend to have a broader view but are less developed and receive less attention by managers of supply-chain functions. Tying measures to strategic concepts helps to show interrelationships among strategic goals and the trade-offs that can occur as particular strategies are employed to improve supply-chain performance. We find that more research is needed on how to assess competitive dynamics and opportunism within supply chains and to assess the costs and risks associated with international business activity.","PeriodicalId":22004,"journal":{"name":"Supply Chain Forum: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86047011","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 : 2021-08-08DOI: 10.1080/16258312.2021.1963176
Soumya Vaithinathan, Samir K. Srivastava
ABSTRACT Despite the abundance of articles on product recalls, surprisingly there have been few empirical studies. This paper investigates empirically the linkage between product recalls and the four types of product variety seen on the assembly shops of Indian automobile firms. A negative binomial fixed effects model was fitted on the panel data comprising product recalls by 12 firms in India over a period of 23 years (1997–2020). The results indicate that different types of product variety impact the product recalls differently. While product variety due to limited/special edition cars and petrol cars was found not to have a significant impact on recalls, product variety due to diesel cars was found to have a significant and positive impact. Further, different fuel types were found to have a significant and negative impact on recalls. The findings serve as a useful reference to practicing managers for understanding the trade-off between product variety and recalls.
{"title":"The impact of product variety on product recalls: an empirical study","authors":"Soumya Vaithinathan, Samir K. Srivastava","doi":"10.1080/16258312.2021.1963176","DOIUrl":"https://doi.org/10.1080/16258312.2021.1963176","url":null,"abstract":"ABSTRACT Despite the abundance of articles on product recalls, surprisingly there have been few empirical studies. This paper investigates empirically the linkage between product recalls and the four types of product variety seen on the assembly shops of Indian automobile firms. A negative binomial fixed effects model was fitted on the panel data comprising product recalls by 12 firms in India over a period of 23 years (1997–2020). The results indicate that different types of product variety impact the product recalls differently. While product variety due to limited/special edition cars and petrol cars was found not to have a significant impact on recalls, product variety due to diesel cars was found to have a significant and positive impact. Further, different fuel types were found to have a significant and negative impact on recalls. The findings serve as a useful reference to practicing managers for understanding the trade-off between product variety and recalls.","PeriodicalId":22004,"journal":{"name":"Supply Chain Forum: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80483271","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 : 2021-07-26DOI: 10.1080/16258312.2021.1925583
I. Raji, E. Shevtshenko, T. Rossi, F. Strozzi
ABSTRACT As the world becomes globalised, companies fight for survival by connecting their in-house processes with external suppliers/customers. To remain competitive, companies must integrate innovative capabilities like ‘industry-4.0 technologies’ with their operation and supply chain (SC) strategies. The integration of various strategies has been investigated with the associated effect on performance; however, studies on how industry 4.0 technologies might support integrated strategies are still incipient. This work investigates the hierarchical relationships of ‘industry 4.0 technologies’ with lean and agile strategies. Adopting the ‘Interpretive Structural Modelling (ISM)’ technique to present a model depicting the linkage, the work also classifies the technologies and practices according to their ‘driving’ and ‘dependency’ powers. The findings revealed that the technologies have a high affinity to enable the implementation of lean and agile strategies. Among the nine technologies included in the study, ‘Cyber-Physical-System’, ‘Internet-of-Things’, ‘Cloud-Computing’, and ‘Big-Data-Analytics’ have the highest driving powers, signifying their higher affinity with the practices. Meanwhile, all the practices have a high enough affinity to be influenced by the technologies, except for a few (3/16 of lean and 2/9 of agile) that possess affinities too low to be driven by these technologies. The theoretical and managerial impacts of the research are also emphasised.
{"title":"Modelling the relationship of digital technologies with lean and agile strategies","authors":"I. Raji, E. Shevtshenko, T. Rossi, F. Strozzi","doi":"10.1080/16258312.2021.1925583","DOIUrl":"https://doi.org/10.1080/16258312.2021.1925583","url":null,"abstract":"ABSTRACT As the world becomes globalised, companies fight for survival by connecting their in-house processes with external suppliers/customers. To remain competitive, companies must integrate innovative capabilities like ‘industry-4.0 technologies’ with their operation and supply chain (SC) strategies. The integration of various strategies has been investigated with the associated effect on performance; however, studies on how industry 4.0 technologies might support integrated strategies are still incipient. This work investigates the hierarchical relationships of ‘industry 4.0 technologies’ with lean and agile strategies. Adopting the ‘Interpretive Structural Modelling (ISM)’ technique to present a model depicting the linkage, the work also classifies the technologies and practices according to their ‘driving’ and ‘dependency’ powers. The findings revealed that the technologies have a high affinity to enable the implementation of lean and agile strategies. Among the nine technologies included in the study, ‘Cyber-Physical-System’, ‘Internet-of-Things’, ‘Cloud-Computing’, and ‘Big-Data-Analytics’ have the highest driving powers, signifying their higher affinity with the practices. Meanwhile, all the practices have a high enough affinity to be influenced by the technologies, except for a few (3/16 of lean and 2/9 of agile) that possess affinities too low to be driven by these technologies. The theoretical and managerial impacts of the research are also emphasised.","PeriodicalId":22004,"journal":{"name":"Supply Chain Forum: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89968969","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 : 2021-07-06DOI: 10.1080/16258312.2021.1936152
Thiago Ibrahim, C. Araujo
ABSTRACT Biological medicines have grown in importance for treating some chronic diseases better than regular chemical medication. However, they demand specialised services in the biopharmaceutical supply chain (BSC) compared to conventional drugs. This paper aims to understand the BSC’s main challenges in Brazil and the critical factors for its development. We conducted exploratory qualitative research, interviewing ten senior professionals. Findings showed that the main logistics challenges are the end-to-end temperature control in the supply chain and a collaborative relationship within the supply network. This research also highlights some social, political, and economic challenges faced by developing countries like Brazil. Those findings contribute to extending the literature on BSC and help managers understand and prepare for the new challenges of the BSC, especially in emerging economies. Future qualitative studies can deeply investigate each of the aspects raised in this exploratory research, especially regarding the impact of political, economic, social, and environmental elements on the BSC.
{"title":"Biopharmaceutical supply Chain challenges in developing countries: an exploratory analysis","authors":"Thiago Ibrahim, C. Araujo","doi":"10.1080/16258312.2021.1936152","DOIUrl":"https://doi.org/10.1080/16258312.2021.1936152","url":null,"abstract":"ABSTRACT Biological medicines have grown in importance for treating some chronic diseases better than regular chemical medication. However, they demand specialised services in the biopharmaceutical supply chain (BSC) compared to conventional drugs. This paper aims to understand the BSC’s main challenges in Brazil and the critical factors for its development. We conducted exploratory qualitative research, interviewing ten senior professionals. Findings showed that the main logistics challenges are the end-to-end temperature control in the supply chain and a collaborative relationship within the supply network. This research also highlights some social, political, and economic challenges faced by developing countries like Brazil. Those findings contribute to extending the literature on BSC and help managers understand and prepare for the new challenges of the BSC, especially in emerging economies. Future qualitative studies can deeply investigate each of the aspects raised in this exploratory research, especially regarding the impact of political, economic, social, and environmental elements on the BSC.","PeriodicalId":22004,"journal":{"name":"Supply Chain Forum: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81751788","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 : 2021-07-03DOI: 10.1080/16258312.2021.1956211
Marie-Laure Baron, Claire Capo
The 2020 conference on Research in Logistics and Supply Chain Management (RIRL 2020) was held during the Covid-19 crisis, in the midst of two lockdowns and at a time when transport was highly restricted across Europe. Nonetheless, the conference that was postponed from May to October took place in the port city of Le Havre (Le Havre Normandy University), on a mixed mode. Adjusting to national recommendations, we were able to benefit from faceto-face presentations and from distance presentations as well as from ordinary conference lunches and dinners (without masks but with hydro-alcoholic gel). Seventy papers were presented in English and French by researchers coming from across the world, mainly from Europe, North and South America. This special issue of Supply Chain Forum: An International Journal presents four papers. Six papers were initially selected by the scientific committee among papers presented in English at the conference, and four were able to go timely through the publication process. It was too early at the time to benefit from research results on how the pandemic disrupted supply chains and to draw scientific knowledge from the experience. However, the conference called researchers to go across and beyond existing boundaries as shifts in business patterns already challenged Supply Chain Management (SCM). Besides still improving findings on key supply chain topics, by all means, we went beyond frontiers when exploring food supply chains in Ethiopia or international assistance in Syria. Moreover, in a world confronted with radical changes, logistics and SCM research must help professionals navigate in the upcoming settings and provide guidelines. Sustainability and automation are two major issues that call for new supply chain models and renewed thinking. While automation and digitisation (sensors, real-time measurement, data collection and analysis, algorithms) are generally viewed as sustainability enablers (Sanders et al. 2019; Ghobakhloo, 2020), each field still has specific impacts on the supply chain.
{"title":"Advancing on the scientific frontier in logistics and supply chain management in 2021 at the RIRL 2020 conference","authors":"Marie-Laure Baron, Claire Capo","doi":"10.1080/16258312.2021.1956211","DOIUrl":"https://doi.org/10.1080/16258312.2021.1956211","url":null,"abstract":"The 2020 conference on Research in Logistics and Supply Chain Management (RIRL 2020) was held during the Covid-19 crisis, in the midst of two lockdowns and at a time when transport was highly restricted across Europe. Nonetheless, the conference that was postponed from May to October took place in the port city of Le Havre (Le Havre Normandy University), on a mixed mode. Adjusting to national recommendations, we were able to benefit from faceto-face presentations and from distance presentations as well as from ordinary conference lunches and dinners (without masks but with hydro-alcoholic gel). Seventy papers were presented in English and French by researchers coming from across the world, mainly from Europe, North and South America. This special issue of Supply Chain Forum: An International Journal presents four papers. Six papers were initially selected by the scientific committee among papers presented in English at the conference, and four were able to go timely through the publication process. It was too early at the time to benefit from research results on how the pandemic disrupted supply chains and to draw scientific knowledge from the experience. However, the conference called researchers to go across and beyond existing boundaries as shifts in business patterns already challenged Supply Chain Management (SCM). Besides still improving findings on key supply chain topics, by all means, we went beyond frontiers when exploring food supply chains in Ethiopia or international assistance in Syria. Moreover, in a world confronted with radical changes, logistics and SCM research must help professionals navigate in the upcoming settings and provide guidelines. Sustainability and automation are two major issues that call for new supply chain models and renewed thinking. While automation and digitisation (sensors, real-time measurement, data collection and analysis, algorithms) are generally viewed as sustainability enablers (Sanders et al. 2019; Ghobakhloo, 2020), each field still has specific impacts on the supply chain.","PeriodicalId":22004,"journal":{"name":"Supply Chain Forum: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88888118","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 : 2021-07-03DOI: 10.1080/16258312.2021.1948307
Salomée Ruel, Morgane M. C. Fritz
ABSTRACT Gender diversity (GD) has become an open topic of discussion, with a focus on gender gaps in terms of salary and access to education. There has been little research highlighting the active role women may play in sustainable decision making. This study addresses this gap by considering the case of supply chain management (SCM), a function mostly led by men and where several unsustainable issues prevail. It focuses on determining whether GD has an impact on sustainability-related decisions made in SCM. An exploratory and qualitative approach was taken to look at managerial, operational and hybrid skills and practices. The findings reveal three main opinion groups and show that GD would bring softer skills such as empathy at the managerial level, or more socially responsible supplier selection at the operational level. More GD in SCM would improve social relations, communication, compliance and health and safety issues. This study contributes to filling the gap on the social dimension of sustainability.
{"title":"Gender diversity in supply chains: towards more sustainable decisions? evidence from interviews","authors":"Salomée Ruel, Morgane M. C. Fritz","doi":"10.1080/16258312.2021.1948307","DOIUrl":"https://doi.org/10.1080/16258312.2021.1948307","url":null,"abstract":"ABSTRACT Gender diversity (GD) has become an open topic of discussion, with a focus on gender gaps in terms of salary and access to education. There has been little research highlighting the active role women may play in sustainable decision making. This study addresses this gap by considering the case of supply chain management (SCM), a function mostly led by men and where several unsustainable issues prevail. It focuses on determining whether GD has an impact on sustainability-related decisions made in SCM. An exploratory and qualitative approach was taken to look at managerial, operational and hybrid skills and practices. The findings reveal three main opinion groups and show that GD would bring softer skills such as empathy at the managerial level, or more socially responsible supplier selection at the operational level. More GD in SCM would improve social relations, communication, compliance and health and safety issues. This study contributes to filling the gap on the social dimension of sustainability.","PeriodicalId":22004,"journal":{"name":"Supply Chain Forum: An International Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78436121","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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