Pub Date : 2023-05-11DOI: 10.1108/jgoss-08-2021-0057
S. Chowdhury
Purpose This paper aims to deal with a real-life strategic conflict in joint operations (JOs) for facility location decision and planning in an oil and gas field that stretches over two countries and tries to develop a basis for mitigating such conflict. Design/methodology/approach This paper develops a novel approach using integer linear programming (ILP) to determine optimal facility location considering technical, economic and environmental factors. Strategic decision-making in JOs is also influenced by business priorities of individual partner, sociopolitical issues and other covert factors. The cost-related quantitative factors are normalized using inverse normalization function as these are to be minimized, and qualitative factors that are multi-decision-making criteria are maximized, thus transforming both qualitative and quantitative factors as a single objective of maximization in ILP model. Findings The model identifies the most suitable facility location based on a wide range of factors that would provide maximum benefit in the long term, which will help decision-makers and managers. Research limitations/implications The model can be expanded incorporating other quantitative and qualitative factors such as tax incentives by the government, local bodies and government regulations. Practical implications The applicability of the model is not limited to JOs or oil/gas field, but is applicable to a wide range of sectors. Originality/value The model is transparent and based on rational and scientific basis, which would help in building consensus among the dissenting parties and aid in mitigating strategic conflict. Such type of model for mitigating strategic conflict has not been reported/used before.
{"title":"Facility location planning to mitigate strategic conflict in joint operations","authors":"S. Chowdhury","doi":"10.1108/jgoss-08-2021-0057","DOIUrl":"https://doi.org/10.1108/jgoss-08-2021-0057","url":null,"abstract":"\u0000Purpose\u0000This paper aims to deal with a real-life strategic conflict in joint operations (JOs) for facility location decision and planning in an oil and gas field that stretches over two countries and tries to develop a basis for mitigating such conflict.\u0000\u0000\u0000Design/methodology/approach\u0000This paper develops a novel approach using integer linear programming (ILP) to determine optimal facility location considering technical, economic and environmental factors. Strategic decision-making in JOs is also influenced by business priorities of individual partner, sociopolitical issues and other covert factors. The cost-related quantitative factors are normalized using inverse normalization function as these are to be minimized, and qualitative factors that are multi-decision-making criteria are maximized, thus transforming both qualitative and quantitative factors as a single objective of maximization in ILP model.\u0000\u0000\u0000Findings\u0000The model identifies the most suitable facility location based on a wide range of factors that would provide maximum benefit in the long term, which will help decision-makers and managers.\u0000\u0000\u0000Research limitations/implications\u0000The model can be expanded incorporating other quantitative and qualitative factors such as tax incentives by the government, local bodies and government regulations.\u0000\u0000\u0000Practical implications\u0000The applicability of the model is not limited to JOs or oil/gas field, but is applicable to a wide range of sectors.\u0000\u0000\u0000Originality/value\u0000The model is transparent and based on rational and scientific basis, which would help in building consensus among the dissenting parties and aid in mitigating strategic conflict. Such type of model for mitigating strategic conflict has not been reported/used before.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42402807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-27DOI: 10.1108/jgoss-05-2023-113
Surajit Bag, P. Kilbourn, Lincoln C. Wood, M. Giannakis
[...]the production schedules of manufacturers had to be changed frequently. El Baz and Ruel (2021) indicated various gaps in the purchasing and supply chain literature in context to the COVID-19 pandemic including (a) risk categories hardly discuss or even touch on logistics difficulties, (b) providers of specialised services are not mentioned, (c) almost no attention is paid to feedback loops or lessons learned from supply disruptions, (d) there is currently a very limited understanding of risks, (e) external assistance for current and potential future disaster risks is not mentioned, (f) recovery from supply interruption management fails to take into account long-term repercussions and (g) procurement and supply management (PSM) are part of an integrated system. [...]we ask the research question: RQ. [...]the number of research outputs is increasing in India.
{"title":"Guest editorial: Impact of COVID-19 on strategic sourcing decisions and business performance","authors":"Surajit Bag, P. Kilbourn, Lincoln C. Wood, M. Giannakis","doi":"10.1108/jgoss-05-2023-113","DOIUrl":"https://doi.org/10.1108/jgoss-05-2023-113","url":null,"abstract":"[...]the production schedules of manufacturers had to be changed frequently. El Baz and Ruel (2021) indicated various gaps in the purchasing and supply chain literature in context to the COVID-19 pandemic including (a) risk categories hardly discuss or even touch on logistics difficulties, (b) providers of specialised services are not mentioned, (c) almost no attention is paid to feedback loops or lessons learned from supply disruptions, (d) there is currently a very limited understanding of risks, (e) external assistance for current and potential future disaster risks is not mentioned, (f) recovery from supply interruption management fails to take into account long-term repercussions and (g) procurement and supply management (PSM) are part of an integrated system. [...]we ask the research question: RQ. [...]the number of research outputs is increasing in India.","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48323707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-19DOI: 10.1108/jgoss-11-2022-0112
M. Jørgensen
Purpose Power is one of the single most critical concepts for understanding industrial relations management. Yet, despite having been subject to much scholarly attention, existing research often implicitly assumes an organizational level of behavior or examines influence tactics within the confines of an individual-level dyad. This has led to a limited understanding of influence exercises involving a third person. Motivated to advance the understanding of this phenomenon, this study aims to explore how boundary spanners from a buying organization influence supplier representatives by involving a third person. Design/methodology/approach This study uses a longitudinal single case study design grounded in social control theory. Data consist of interviews, observations and documents collected over a period of 27 months in a global sourcing context. Findings The findings demonstrate how the influence agent from the buying organization can invoke a third person’s mediated and nonmediated social power base through either direct or indirect social control mechanisms. With these findings, this paper makes a novel theoretical contribution by developing a deeper understanding of underexposed social influence tactics unfolding in individual-level triads. Practical implications This study offers boundary spanning managers with practical insights into subtle and indirect forms of social influence with which they can influence external exchange partners. Originality/value To the best of the authors’ knowledge, this study is the first to draw on social control theory to examine interpersonal influence tactics in buyer-supplier relationships. By integrating this theoretical perspective with extant research on social power, this study emphasizes the importance of considering how the influence agent mobilizes a third person’s social influence base.
{"title":"How boundary spanners wield influence by involving a third person: an exploratory study grounded in social control theory","authors":"M. Jørgensen","doi":"10.1108/jgoss-11-2022-0112","DOIUrl":"https://doi.org/10.1108/jgoss-11-2022-0112","url":null,"abstract":"\u0000Purpose\u0000Power is one of the single most critical concepts for understanding industrial relations management. Yet, despite having been subject to much scholarly attention, existing research often implicitly assumes an organizational level of behavior or examines influence tactics within the confines of an individual-level dyad. This has led to a limited understanding of influence exercises involving a third person. Motivated to advance the understanding of this phenomenon, this study aims to explore how boundary spanners from a buying organization influence supplier representatives by involving a third person.\u0000\u0000\u0000Design/methodology/approach\u0000This study uses a longitudinal single case study design grounded in social control theory. Data consist of interviews, observations and documents collected over a period of 27 months in a global sourcing context.\u0000\u0000\u0000Findings\u0000The findings demonstrate how the influence agent from the buying organization can invoke a third person’s mediated and nonmediated social power base through either direct or indirect social control mechanisms. With these findings, this paper makes a novel theoretical contribution by developing a deeper understanding of underexposed social influence tactics unfolding in individual-level triads.\u0000\u0000\u0000Practical implications\u0000This study offers boundary spanning managers with practical insights into subtle and indirect forms of social influence with which they can influence external exchange partners.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this study is the first to draw on social control theory to examine interpersonal influence tactics in buyer-supplier relationships. By integrating this theoretical perspective with extant research on social power, this study emphasizes the importance of considering how the influence agent mobilizes a third person’s social influence base.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42805286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-13DOI: 10.1108/jgoss-01-2022-0001
Shahbaz Khan, A. Haleem, A. H. Ngah, M. Khan
Purpose Halal logistics play a crucial role in maintaining a product’s “halal integrity” from farm to fork. These logistics operations are exposed to risks during transportation, storage and handling, that negatively affect the halal supply chain’s operational efficiency and integrity. Therefore, the main purpose of this research is to propose a risk assessment framework for halal logistics. Design/methodology/approach Initially, the risks associated with halal logistics are identified through an extensive literature review, and then the significant ones are validated with the expert’s input. After that, an appropriate multicriteria decision-making method named best worst method (BWM) is used to prioritise the identified risks. Finally, the robustness of the obtained ranking is assessed with sensitivity analysis. Findings This research identifies 26 halal logistics risks and then categorises these risks into 6 significant dimensions and proposes a framework. The result obtained from the BWM analysis shows that organisational, transportation and design risks are the primary risks present in halal logistics. Among the halal logistics risks, partnership risk, risk of contamination during transportation and risks of unskilled workers are the top three halal logistics risks that need to be addressed on a priority basis for maintaining halal integrity. Furthermore, this study also suggests some valuable suggestions for mitigating these risks that the logistics providers could use. Research limitations/implications The proposed framework is helpful for the assessment of risks associated with halal logistics. The prioritisation of the identified risks supports the managers in formulating mitigation strategies that might reduce the effect of these associated risks in logistics operations. Originality/value This study focusses on halal logistics, and to the best of authors’ knowledge, this may be the first attempt to systematically examine the risks related to halal logistics.
{"title":"Exploration of risks with halal logistics: a case of emerging economy","authors":"Shahbaz Khan, A. Haleem, A. H. Ngah, M. Khan","doi":"10.1108/jgoss-01-2022-0001","DOIUrl":"https://doi.org/10.1108/jgoss-01-2022-0001","url":null,"abstract":"\u0000Purpose\u0000Halal logistics play a crucial role in maintaining a product’s “halal integrity” from farm to fork. These logistics operations are exposed to risks during transportation, storage and handling, that negatively affect the halal supply chain’s operational efficiency and integrity. Therefore, the main purpose of this research is to propose a risk assessment framework for halal logistics.\u0000\u0000\u0000Design/methodology/approach\u0000Initially, the risks associated with halal logistics are identified through an extensive literature review, and then the significant ones are validated with the expert’s input. After that, an appropriate multicriteria decision-making method named best worst method (BWM) is used to prioritise the identified risks. Finally, the robustness of the obtained ranking is assessed with sensitivity analysis.\u0000\u0000\u0000Findings\u0000This research identifies 26 halal logistics risks and then categorises these risks into 6 significant dimensions and proposes a framework. The result obtained from the BWM analysis shows that organisational, transportation and design risks are the primary risks present in halal logistics. Among the halal logistics risks, partnership risk, risk of contamination during transportation and risks of unskilled workers are the top three halal logistics risks that need to be addressed on a priority basis for maintaining halal integrity. Furthermore, this study also suggests some valuable suggestions for mitigating these risks that the logistics providers could use.\u0000\u0000\u0000Research limitations/implications\u0000The proposed framework is helpful for the assessment of risks associated with halal logistics. The prioritisation of the identified risks supports the managers in formulating mitigation strategies that might reduce the effect of these associated risks in logistics operations.\u0000\u0000\u0000Originality/value\u0000This study focusses on halal logistics, and to the best of authors’ knowledge, this may be the first attempt to systematically examine the risks related to halal logistics.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47197249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-04-03DOI: 10.1108/jgoss-06-2022-0050
Narendra Parmar, A. James, M. Asjad
Purpose There is an increasing trend of outsourcing maintenance activities of heavy equipment, including belt conveyor installations. However, there are numerous challenges in maintenance outsourcing. This paper aims to identify and analyze various challenges of outsourcing maintenance activities associated with belt conveyor installations. Design/methodology/approach This paper identifies maintenance outsourcing challenges of belt conveyor installations through literature review, field visits and expert opinion. An integrated structural hierarchical framework of the identified challenges is developed through analytic hierarchy process and decision-making trial and evaluation laboratory. Findings The paper has identified eight challenges, namely, attainment of organizational strength by contractors, legal and financial challenges for contractors, attainment of necessary technician skills by contractors, maintenance data acquisition and analysis challenges, facilitation with modern equipment, gadgets and instrumentation, service quality challenges, health, safety and environment-related challenges and spares supply chain management challenges. The segregation of driver and dependent challenges, including their hierarchical framework had been established in this work. Research limitations/implications A comprehensive list of challenges and their prioritization in maintenance outsourcing of belt conveyor installations had been established. This will help the organizations who own and operate these installations to make judicious decisions regarding outsourcing maintenance. Originality/value This paper significantly contributes to the literature on maintenance outsourcing of heavy machinery installations like a belt conveyor system based on the input of different stakeholders. This study will lead to the development of frameworks for maintenance contractor selection for such installations.
{"title":"Analysis of maintenance outsourcing challenges for belt conveyors in the Industry 4.0 era","authors":"Narendra Parmar, A. James, M. Asjad","doi":"10.1108/jgoss-06-2022-0050","DOIUrl":"https://doi.org/10.1108/jgoss-06-2022-0050","url":null,"abstract":"\u0000Purpose\u0000There is an increasing trend of outsourcing maintenance activities of heavy equipment, including belt conveyor installations. However, there are numerous challenges in maintenance outsourcing. This paper aims to identify and analyze various challenges of outsourcing maintenance activities associated with belt conveyor installations.\u0000\u0000\u0000Design/methodology/approach\u0000This paper identifies maintenance outsourcing challenges of belt conveyor installations through literature review, field visits and expert opinion. An integrated structural hierarchical framework of the identified challenges is developed through analytic hierarchy process and decision-making trial and evaluation laboratory.\u0000\u0000\u0000Findings\u0000The paper has identified eight challenges, namely, attainment of organizational strength by contractors, legal and financial challenges for contractors, attainment of necessary technician skills by contractors, maintenance data acquisition and analysis challenges, facilitation with modern equipment, gadgets and instrumentation, service quality challenges, health, safety and environment-related challenges and spares supply chain management challenges. The segregation of driver and dependent challenges, including their hierarchical framework had been established in this work.\u0000\u0000\u0000Research limitations/implications\u0000A comprehensive list of challenges and their prioritization in maintenance outsourcing of belt conveyor installations had been established. This will help the organizations who own and operate these installations to make judicious decisions regarding outsourcing maintenance.\u0000\u0000\u0000Originality/value\u0000This paper significantly contributes to the literature on maintenance outsourcing of heavy machinery installations like a belt conveyor system based on the input of different stakeholders. This study will lead to the development of frameworks for maintenance contractor selection for such installations.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45277472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-29DOI: 10.1108/jgoss-06-2022-0047
Anil Kumar K.R., J. Dhas
Purpose The purpose of this study is to improve supplier performance and strategic sourcing decisions by integrating jobshop scheduling, inventory management and agile new product development. During the COVID-19 pandemic, the organizations have struggled a lot to maintain the supplier performance and strategic sourcing decisions in the organizational benefit. However, in this context, the organization’s agile new product development (ANPD) process must be aligned with this requirement by maintaining the inventory and jobshop scheduling. As a result, identifying ANPD indicators, performance metrics and developing a structural framework to guide practitioners at various stages for smooth adoption is essential to improve the overall performance. Design/methodology/approach A comprehensive literature review is conducted to identify jobshop scheduling, inventory management and ANPD indicators along with the performance metrics, and the hierarchical structure is developed with the help of expert opinion. The modified stepwise weight assessment ratio analysis (SWARA) and weighted aggregated sum product assurance (WASPAS) techniques, along with expert judgement, are used in this study to calculate the weights of the indicators and the ranking of the performance metrics. Findings As per the weight computation by SWARA method, the strategy indicators have the highest relative weight, followed by the product design indicators, management indicators, technical indicators, supply chain indicators and organization culture indicators. According to the ranking of performance metrics obtained through WASPAS, the “frequency of new product development is at the top”, followed by “advances in product design and development” and “estimated versus actual time to market”. Research limitations/implications It is believed that the framework developed will help industrial practitioners to plan effectively to improve supplier performance. The indicators identified may guide the ANPD penetration, and performance metrics may be useful for evaluation and comparison. Practical implications The outcomes of the present study will be extremely beneficial for the industry practitioners to improve the supplier performance. The indicators identified may guide the ANPD penetration, and performance metrics may be useful for evaluation and comparison. Originality/value A unique combination of modified SWARA–WASPAS technique has been used in this study which would be beneficial for organizations willing to adopt the jobshop scheduling and inventory management and ANPD for improving supply chain performance.
{"title":"Improving supplier performance and strategic sourcing decisions by integrating jobshop scheduling, inventory management and agile new product development","authors":"Anil Kumar K.R., J. Dhas","doi":"10.1108/jgoss-06-2022-0047","DOIUrl":"https://doi.org/10.1108/jgoss-06-2022-0047","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to improve supplier performance and strategic sourcing decisions by integrating jobshop scheduling, inventory management and agile new product development. During the COVID-19 pandemic, the organizations have struggled a lot to maintain the supplier performance and strategic sourcing decisions in the organizational benefit. However, in this context, the organization’s agile new product development (ANPD) process must be aligned with this requirement by maintaining the inventory and jobshop scheduling. As a result, identifying ANPD indicators, performance metrics and developing a structural framework to guide practitioners at various stages for smooth adoption is essential to improve the overall performance.\u0000\u0000\u0000Design/methodology/approach\u0000A comprehensive literature review is conducted to identify jobshop scheduling, inventory management and ANPD indicators along with the performance metrics, and the hierarchical structure is developed with the help of expert opinion. The modified stepwise weight assessment ratio analysis (SWARA) and weighted aggregated sum product assurance (WASPAS) techniques, along with expert judgement, are used in this study to calculate the weights of the indicators and the ranking of the performance metrics.\u0000\u0000\u0000Findings\u0000As per the weight computation by SWARA method, the strategy indicators have the highest relative weight, followed by the product design indicators, management indicators, technical indicators, supply chain indicators and organization culture indicators. According to the ranking of performance metrics obtained through WASPAS, the “frequency of new product development is at the top”, followed by “advances in product design and development” and “estimated versus actual time to market”.\u0000\u0000\u0000Research limitations/implications\u0000It is believed that the framework developed will help industrial practitioners to plan effectively to improve supplier performance. The indicators identified may guide the ANPD penetration, and performance metrics may be useful for evaluation and comparison.\u0000\u0000\u0000Practical implications\u0000The outcomes of the present study will be extremely beneficial for the industry practitioners to improve the supplier performance. The indicators identified may guide the ANPD penetration, and performance metrics may be useful for evaluation and comparison.\u0000\u0000\u0000Originality/value\u0000A unique combination of modified SWARA–WASPAS technique has been used in this study which would be beneficial for organizations willing to adopt the jobshop scheduling and inventory management and ANPD for improving supply chain performance.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49040196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-28DOI: 10.1108/jgoss-06-2022-0072
Amani Natheesha Karunathilake, Anuja Fernando
Purpose Air transport accounts for nearly 40% worth of the global trade cargo volume, where more than 50% of the air cargo is carried on passenger flights. Therefore, this paper aims to focus on identifying the influencing factors for both passenger and cargo demand-driven networks to smoothen the global supply chain. Design/methodology/approach The data for the study was collected through literature reviews and interviews with industry experts. The analytical hierarchy process was used to analyze the expert's opinions on the critical factors affecting air cargo demand growth. Regression analysis was conducted using the selected variables to develop a model to calculate air cargo demand growth. Findings According to the expert opinion, it was identified that facilities under airport capacities and facilities are mainly affected by the air cargo carried by combi carriers. The model was developed considering the air connectivity index and air cargo demand at destination variables. Research limitations/implications The factors identified here are mainly related to the current situation in Sri Lanka. Applying this methodology to other economic zones will add new factors related to their economic contexts and could be generalized as the influencing factors for the growth of air cargo demand by finding more results. Originality/value Previous studies have been conducted using different factors and models to forecast air cargo demand, and those did not consider demand from combi and all-cargo carriers together. More than 98% of air cargo trades in Sri Lanka are happening through combi carriers. Hence, Sri Lanka will be a best case study to analyze the behavior of combi carriers.
{"title":"Identifying the key influencing factors for the growth of air cargo demand","authors":"Amani Natheesha Karunathilake, Anuja Fernando","doi":"10.1108/jgoss-06-2022-0072","DOIUrl":"https://doi.org/10.1108/jgoss-06-2022-0072","url":null,"abstract":"\u0000Purpose\u0000Air transport accounts for nearly 40% worth of the global trade cargo volume, where more than 50% of the air cargo is carried on passenger flights. Therefore, this paper aims to focus on identifying the influencing factors for both passenger and cargo demand-driven networks to smoothen the global supply chain.\u0000\u0000\u0000Design/methodology/approach\u0000The data for the study was collected through literature reviews and interviews with industry experts. The analytical hierarchy process was used to analyze the expert's opinions on the critical factors affecting air cargo demand growth. Regression analysis was conducted using the selected variables to develop a model to calculate air cargo demand growth.\u0000\u0000\u0000Findings\u0000According to the expert opinion, it was identified that facilities under airport capacities and facilities are mainly affected by the air cargo carried by combi carriers. The model was developed considering the air connectivity index and air cargo demand at destination variables.\u0000\u0000\u0000Research limitations/implications\u0000The factors identified here are mainly related to the current situation in Sri Lanka. Applying this methodology to other economic zones will add new factors related to their economic contexts and could be generalized as the influencing factors for the growth of air cargo demand by finding more results.\u0000\u0000\u0000Originality/value\u0000Previous studies have been conducted using different factors and models to forecast air cargo demand, and those did not consider demand from combi and all-cargo carriers together. More than 98% of air cargo trades in Sri Lanka are happening through combi carriers. Hence, Sri Lanka will be a best case study to analyze the behavior of combi carriers.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42281519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-15DOI: 10.1108/jgoss-03-2022-0021
Enoch Adusei, Emmanuel Demah, R. Boso
Purpose The novel COVID-19 supply chain disruption has globally altered the environmental needs of society. Against this backdrop, this paper aims to examine how top managers are environmentally committed to integrating green supply chain management (GSCM) practices in the operational performance of small- and medium-scale enterprises (SMEs) in Ghana, within the post-pandemic economy. Design/methodology/approach The study used a cross-sectional survey to obtain data from 270 SMEs in Ghana, using partial least squares (PLS) structural equation modelling to test seven hypothesized relationships. Findings The outcome of the analysis revealed that top management environmental commitment has a significantly positive effect on supply chain operational performance. The structural model also revealed that top management environmental commitment has a positive and significant effect on both internal and external GSCM practices. The results further revealed that both internal and external GSCM practices have positive and significant effects on supply chain operational performance. Finally, both internal and external GSCM practices mediate the path between top management environmental commitment and supply chain operational performance. Research limitations/implications The study provides a novel framework which contributes to both theoretical studies and managerial decisions on COVID-19 related supply chain management issues. However, the study was limited to the Ghanaian context, thus, further related studies are required in other contexts. Originality/value This study provides a novel framework by elucidating the intervening role of GSCM practices in the path between top management environmental commitment and supply chain operations in an emerging post-pandemic world context.
{"title":"Top management commitment in greening supply chain operations: post-COVID-19 perspectives from an emerging economy","authors":"Enoch Adusei, Emmanuel Demah, R. Boso","doi":"10.1108/jgoss-03-2022-0021","DOIUrl":"https://doi.org/10.1108/jgoss-03-2022-0021","url":null,"abstract":"\u0000Purpose\u0000The novel COVID-19 supply chain disruption has globally altered the environmental needs of society. Against this backdrop, this paper aims to examine how top managers are environmentally committed to integrating green supply chain management (GSCM) practices in the operational performance of small- and medium-scale enterprises (SMEs) in Ghana, within the post-pandemic economy.\u0000\u0000\u0000Design/methodology/approach\u0000The study used a cross-sectional survey to obtain data from 270 SMEs in Ghana, using partial least squares (PLS) structural equation modelling to test seven hypothesized relationships.\u0000\u0000\u0000Findings\u0000The outcome of the analysis revealed that top management environmental commitment has a significantly positive effect on supply chain operational performance. The structural model also revealed that top management environmental commitment has a positive and significant effect on both internal and external GSCM practices. The results further revealed that both internal and external GSCM practices have positive and significant effects on supply chain operational performance. Finally, both internal and external GSCM practices mediate the path between top management environmental commitment and supply chain operational performance.\u0000\u0000\u0000Research limitations/implications\u0000The study provides a novel framework which contributes to both theoretical studies and managerial decisions on COVID-19 related supply chain management issues. However, the study was limited to the Ghanaian context, thus, further related studies are required in other contexts.\u0000\u0000\u0000Originality/value\u0000This study provides a novel framework by elucidating the intervening role of GSCM practices in the path between top management environmental commitment and supply chain operations in an emerging post-pandemic world context.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45931717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-06DOI: 10.1108/jgoss-05-2022-0045
Punsara Hettiarachchi, Subodha Dharmapriya, A. Kulatunga
Purpose This study aims to minimize the transportation-related cost in distribution while utilizing a heterogeneous fixed fleet to deliver distinct demand at different geographical locations with a proper workload balancing approach. An increased cost in distribution is a major problem for many companies due to the absence of efficient planning methods to overcome operational challenges in distinct distribution networks. The problem addressed in this study is to minimize the transportation-related cost in distribution while using a heterogeneous fixed fleet to deliver distinct demand at different geographical locations with a proper workload balancing approach which has not gained the adequate attention in the literature. Design/methodology/approach This study formulated the transportation problem as a vehicle routing problem with a heterogeneous fixed fleet and workload balancing, which is a combinatorial optimization problem of the NP-hard category. The model was solved using both the simulated annealing and a genetic algorithm (GA) adopting distinct local search operators. A greedy approach has been used in generating an initial solution for both algorithms. The paired t-test has been used in selecting the best algorithm. Through a number of scenarios, the baseline conditions of the problem were further tested investigating the alternative fleet compositions of the heterogeneous fleet. Results were analyzed using analysis of variance (ANOVA) and Hsu’s MCB methods to identify the best scenario. Findings The solutions generated by both algorithms were subjected to the t-test, and the results revealed that the GA outperformed in solution quality in planning a heterogeneous fleet for distribution with load balancing. Through a number of scenarios, the baseline conditions of the problem were further tested investigating the alternative fleet utilization with different compositions of the heterogeneous fleet. Results were analyzed using ANOVA and Hsu’s MCB method and found that removing the lowest capacities trucks enhances the average vehicle utilization with reduced travel distance. Research limitations/implications The developed model has considered both planning of heterogeneous fleet and the requirement of work load balancing which are very common industry needs, however, have not been addressed adequately either individually or collectively in the literature. The adopted solution methodologies to solve the NP-hard distribution problem consist of metaheuristics, statistical analysis and scenario analysis are another significant contribution. The planning of distribution operations not only addresses operational-level decision, through a scenario analysis, but also strategic-level decision has also been considered. Originality/value The planning of distribution operations not only addresses operational-level decisions, but also strategic-level decisions conducting a scenario analysis.
{"title":"Planning of a distribution network utilizing a heterogeneous fixed fleet with a balanced workload","authors":"Punsara Hettiarachchi, Subodha Dharmapriya, A. Kulatunga","doi":"10.1108/jgoss-05-2022-0045","DOIUrl":"https://doi.org/10.1108/jgoss-05-2022-0045","url":null,"abstract":"\u0000Purpose\u0000This study aims to minimize the transportation-related cost in distribution while utilizing a heterogeneous fixed fleet to deliver distinct demand at different geographical locations with a proper workload balancing approach. An increased cost in distribution is a major problem for many companies due to the absence of efficient planning methods to overcome operational challenges in distinct distribution networks. The problem addressed in this study is to minimize the transportation-related cost in distribution while using a heterogeneous fixed fleet to deliver distinct demand at different geographical locations with a proper workload balancing approach which has not gained the adequate attention in the literature.\u0000\u0000\u0000Design/methodology/approach\u0000This study formulated the transportation problem as a vehicle routing problem with a heterogeneous fixed fleet and workload balancing, which is a combinatorial optimization problem of the NP-hard category. The model was solved using both the simulated annealing and a genetic algorithm (GA) adopting distinct local search operators. A greedy approach has been used in generating an initial solution for both algorithms. The paired t-test has been used in selecting the best algorithm. Through a number of scenarios, the baseline conditions of the problem were further tested investigating the alternative fleet compositions of the heterogeneous fleet. Results were analyzed using analysis of variance (ANOVA) and Hsu’s MCB methods to identify the best scenario.\u0000\u0000\u0000Findings\u0000The solutions generated by both algorithms were subjected to the t-test, and the results revealed that the GA outperformed in solution quality in planning a heterogeneous fleet for distribution with load balancing. Through a number of scenarios, the baseline conditions of the problem were further tested investigating the alternative fleet utilization with different compositions of the heterogeneous fleet. Results were analyzed using ANOVA and Hsu’s MCB method and found that removing the lowest capacities trucks enhances the average vehicle utilization with reduced travel distance.\u0000\u0000\u0000Research limitations/implications\u0000The developed model has considered both planning of heterogeneous fleet and the requirement of work load balancing which are very common industry needs, however, have not been addressed adequately either individually or collectively in the literature. The adopted solution methodologies to solve the NP-hard distribution problem consist of metaheuristics, statistical analysis and scenario analysis are another significant contribution. The planning of distribution operations not only addresses operational-level decision, through a scenario analysis, but also strategic-level decision has also been considered.\u0000\u0000\u0000Originality/value\u0000The planning of distribution operations not only addresses operational-level decisions, but also strategic-level decisions conducting a scenario analysis.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47059035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-27DOI: 10.1108/jgoss-06-2022-0076
C. Silva, Dilini Dineshika Rathnayaka, M.A.K.E. Fernando
Purpose This study aims to evaluate the adoption of four types of supplier sustainability risk management (SSRM) strategies, namely, risk avoidance (RA), risk acceptance (RAC), collaboration-based risk mitigation (CBM) and monitoring-based risk mitigation (MBM) in Sri Lankan apparel and retail industries, and to investigate their effect on supply chain performance (SCP). Design/methodology/approach This study uses the dynamic capability view (DCV) to develop its hypotheses. Data collected from 89 firms were analysed using partial least square (PLS) structural equation modelling and PLS-based multiple group analysis. Findings Sri Lankan apparel and retail firms adopt RA and MBM strategies relatively more than CBM and RAC strategies, whereas there is no significant difference between the two industries in terms of the use of SSRM strategies. The path analysis revealed significant effects of RA and RAC strategies on SCP of both industries. The effect of CBM strategy on SCP is moderated by industry, while MBM has no significant impact. Research limitations/implications While managing supplier sustainability risks effectively, RA and RAC strategies provide more opportunities for managers to improve SCP. In achieving SCP, CBM strategies are proven to be more effective for retail industry compared with the apparel sector. Although MBM strategies offer sustainability advantages to firms, their contribution to improving the performance of apparel and retail supply chains is not significant. This research is limited to only two industries (apparel and retail) in Sri Lanka, where the evidence for the effects of SSRM strategies is not available for other contexts. Originality/value Either the effects of the four types of SSRM strategies on SCP or the moderating effect of industry on these effects have not been empirically confirmed in the literature. Evaluating the extent to which different strategies are implemented in Sri Lankan apparel and retail industries is another significant contribution of this research. Furthermore, this study contributes by using DCV to a sustainability-based supply chain risk management research.
{"title":"The effect of supplier sustainability risk management strategies on supply chain performance","authors":"C. Silva, Dilini Dineshika Rathnayaka, M.A.K.E. Fernando","doi":"10.1108/jgoss-06-2022-0076","DOIUrl":"https://doi.org/10.1108/jgoss-06-2022-0076","url":null,"abstract":"\u0000Purpose\u0000This study aims to evaluate the adoption of four types of supplier sustainability risk management (SSRM) strategies, namely, risk avoidance (RA), risk acceptance (RAC), collaboration-based risk mitigation (CBM) and monitoring-based risk mitigation (MBM) in Sri Lankan apparel and retail industries, and to investigate their effect on supply chain performance (SCP).\u0000\u0000\u0000Design/methodology/approach\u0000This study uses the dynamic capability view (DCV) to develop its hypotheses. Data collected from 89 firms were analysed using partial least square (PLS) structural equation modelling and PLS-based multiple group analysis.\u0000\u0000\u0000Findings\u0000Sri Lankan apparel and retail firms adopt RA and MBM strategies relatively more than CBM and RAC strategies, whereas there is no significant difference between the two industries in terms of the use of SSRM strategies. The path analysis revealed significant effects of RA and RAC strategies on SCP of both industries. The effect of CBM strategy on SCP is moderated by industry, while MBM has no significant impact.\u0000\u0000\u0000Research limitations/implications\u0000While managing supplier sustainability risks effectively, RA and RAC strategies provide more opportunities for managers to improve SCP. In achieving SCP, CBM strategies are proven to be more effective for retail industry compared with the apparel sector. Although MBM strategies offer sustainability advantages to firms, their contribution to improving the performance of apparel and retail supply chains is not significant. This research is limited to only two industries (apparel and retail) in Sri Lanka, where the evidence for the effects of SSRM strategies is not available for other contexts.\u0000\u0000\u0000Originality/value\u0000Either the effects of the four types of SSRM strategies on SCP or the moderating effect of industry on these effects have not been empirically confirmed in the literature. Evaluating the extent to which different strategies are implemented in Sri Lankan apparel and retail industries is another significant contribution of this research. Furthermore, this study contributes by using DCV to a sustainability-based supply chain risk management research.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41344198","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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