Pub Date : 2021-08-06DOI: 10.1108/jgoss-12-2020-0074
Jeffrey E. Johnson, P. Haug
Purpose The purpose of this study is to explore modifications to the supply chain strategies of international manufacturers resulting from recent momentous trade disruptions, including the US-China trade war, global tariff escalations, Brexit and heightened geopolitical tensions. Design/methodology/approach The research methodology consisted of a series of in-depth personal interviews with senior supply chain executives of six large US international manufacturers. Findings The study identified several short-term reactive strategies taken, including pulling purchase orders or production forward, building inventory and applying for exceptions from tariffs, along with longer-term proactive strategies such as shifting and expanding supplier and manufacturing locations. Research limitations/implications The study’s limitations involve its small sample size and its findings being industry and company-specific to a limited number of firms. While the sample size was deemed sufficient for this exploratory study, larger sample sizes and subsequent industry-specific analyses are recommended. Practical implications The global supply chain modifications effectively used by the firms in the study can offer guidance for practitioners facing similar challenges following major trade disruptions. Originality/value Due to the very recent emergence of the trade disruptors examined in this study, extant literature is limited. Hence, the findings noted in the paper offer not only guidance for practitioners but also make a strong contribution to research and literature on global supply chain risk management and disruption risk mitigation.
{"title":"Modifications to global supply chain management strategies resulting from recent trade disruptions: an exploratory study","authors":"Jeffrey E. Johnson, P. Haug","doi":"10.1108/jgoss-12-2020-0074","DOIUrl":"https://doi.org/10.1108/jgoss-12-2020-0074","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to explore modifications to the supply chain strategies of international manufacturers resulting from recent momentous trade disruptions, including the US-China trade war, global tariff escalations, Brexit and heightened geopolitical tensions.\u0000\u0000\u0000Design/methodology/approach\u0000The research methodology consisted of a series of in-depth personal interviews with senior supply chain executives of six large US international manufacturers.\u0000\u0000\u0000Findings\u0000The study identified several short-term reactive strategies taken, including pulling purchase orders or production forward, building inventory and applying for exceptions from tariffs, along with longer-term proactive strategies such as shifting and expanding supplier and manufacturing locations.\u0000\u0000\u0000Research limitations/implications\u0000The study’s limitations involve its small sample size and its findings being industry and company-specific to a limited number of firms. While the sample size was deemed sufficient for this exploratory study, larger sample sizes and subsequent industry-specific analyses are recommended.\u0000\u0000\u0000Practical implications\u0000The global supply chain modifications effectively used by the firms in the study can offer guidance for practitioners facing similar challenges following major trade disruptions.\u0000\u0000\u0000Originality/value\u0000Due to the very recent emergence of the trade disruptors examined in this study, extant literature is limited. Hence, the findings noted in the paper offer not only guidance for practitioners but also make a strong contribution to research and literature on global supply chain risk management and disruption risk mitigation.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43230549","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 : 2021-08-03DOI: 10.1108/jgoss-01-2021-0007
Minna Saunila, Juhani Ukko, M. Nasiri, Tero Rantala, Sariseelia Sore
Purpose The purpose of this paper is to analyze the connections between the capabilities of suppliers, buyer operations and the innovation performance of buyers in service-based supply chains. In particular, the authors use a construct of supplier capabilities comprising the capabilities needed to produce an online store and divided into capabilities related to the product, capabilities related to service delivery and capabilities related to the buyer-supplier relationship. Design/methodology/approach Data were collected with cross-sectional, random sampling from Finnish companies that have an active online store. A survey was used to collect data on managerial assessments of capabilities of a supplier, the operations of buyers and the innovation performance of buyers. Multiple regressions were used to test the hypotheses. Findings The results reveal that capabilities related to the buyer-supplier relationship are positively connected with the innovation performance of the buyer, but those related to the product and service delivery do not significantly influence the innovation performance of the buyer. The results show that the moderating influence of buyer operations on the relationship between capabilities related to the product and the innovation performance of the buyer is negative. The moderating influence of buyer operations on the relationship between capabilities related to service delivery and the innovation performance of the buyer is positive. Research limitations/implications Forming tight relationships with online store suppliers appears to be a successful way to attain innovation performance for online store operators. Online store operators should not expect supplier capabilities related to online store functionality and characteristics of online store delivery alone to improve their innovation performance. Originality/value Few studies use an e-business operations model to comprehend the role played by supplier capabilities in buyer innovation performance in service-based supply chains. Building on a resource-based view with inter-organizational management and e-business literature streams, the authors focus on three supplier capabilities and buyer operations to investigate their effects in terms of enhancing innovation performance.
{"title":"Managing supplier capabilities for buyer innovation performancein e-business","authors":"Minna Saunila, Juhani Ukko, M. Nasiri, Tero Rantala, Sariseelia Sore","doi":"10.1108/jgoss-01-2021-0007","DOIUrl":"https://doi.org/10.1108/jgoss-01-2021-0007","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to analyze the connections between the capabilities of suppliers, buyer operations and the innovation performance of buyers in service-based supply chains. In particular, the authors use a construct of supplier capabilities comprising the capabilities needed to produce an online store and divided into capabilities related to the product, capabilities related to service delivery and capabilities related to the buyer-supplier relationship.\u0000\u0000\u0000Design/methodology/approach\u0000Data were collected with cross-sectional, random sampling from Finnish companies that have an active online store. A survey was used to collect data on managerial assessments of capabilities of a supplier, the operations of buyers and the innovation performance of buyers. Multiple regressions were used to test the hypotheses.\u0000\u0000\u0000Findings\u0000The results reveal that capabilities related to the buyer-supplier relationship are positively connected with the innovation performance of the buyer, but those related to the product and service delivery do not significantly influence the innovation performance of the buyer. The results show that the moderating influence of buyer operations on the relationship between capabilities related to the product and the innovation performance of the buyer is negative. The moderating influence of buyer operations on the relationship between capabilities related to service delivery and the innovation performance of the buyer is positive.\u0000\u0000\u0000Research limitations/implications\u0000Forming tight relationships with online store suppliers appears to be a successful way to attain innovation performance for online store operators. Online store operators should not expect supplier capabilities related to online store functionality and characteristics of online store delivery alone to improve their innovation performance.\u0000\u0000\u0000Originality/value\u0000Few studies use an e-business operations model to comprehend the role played by supplier capabilities in buyer innovation performance in service-based supply chains. Building on a resource-based view with inter-organizational management and e-business literature streams, the authors focus on three supplier capabilities and buyer operations to investigate their effects in terms of enhancing innovation performance.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43642395","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 : 2021-07-08DOI: 10.1108/JGOSS-11-2020-0069
Yvonne Badulescu, A. Hameri, N. Cheikhrouhou
Purpose Collaborative networked organisations (CNO) are a means of ensuring longevity and business continuity in the face of a global crisis such as COVID-19. This paper aims to present a multi-criteria decision-making method for sustainable partner selection based on the three sustainability pillars and risk. Design/methodology/approach A combined analytic hierarchy process (AHP) and fuzzy AHP (F-AHP) with Technique for Order of Preference by Similarity to Ideal Solution approach is the methodology used to evaluate and rank potential partners based on known conditions and predicted conditions at a future time based on uncertainty to support sustainable partner selection. Findings It is integral to include risk criteria as an addition to the three sustainability pillars: economic, environmental and social, to build a robust and sustainable CNO. One must combine the AHP and F-AHP weightings to ensure the most appropriate sustainable partner selection for the current as well as predicted future period. Research limitations/implications The approach proposed in this paper is intended to support existing CNO, as well as individual firms wanting to create a CNO, to build a more robust and sustainable partner selection process in the context of a force majeure such as COVID-19. Originality/value This paper presents a novel approach to the partner selection process for a sustainable CNO under current known conditions and future uncertain conditions, highlighting the risk of a force majeure occurring such as COVID-19.
{"title":"Sustainable partner selection for collaborative networked organisations with risk consideration in the context of COVID-19","authors":"Yvonne Badulescu, A. Hameri, N. Cheikhrouhou","doi":"10.1108/JGOSS-11-2020-0069","DOIUrl":"https://doi.org/10.1108/JGOSS-11-2020-0069","url":null,"abstract":"\u0000Purpose\u0000Collaborative networked organisations (CNO) are a means of ensuring longevity and business continuity in the face of a global crisis such as COVID-19. This paper aims to present a multi-criteria decision-making method for sustainable partner selection based on the three sustainability pillars and risk.\u0000\u0000\u0000Design/methodology/approach\u0000A combined analytic hierarchy process (AHP) and fuzzy AHP (F-AHP) with Technique for Order of Preference by Similarity to Ideal Solution approach is the methodology used to evaluate and rank potential partners based on known conditions and predicted conditions at a future time based on uncertainty to support sustainable partner selection.\u0000\u0000\u0000Findings\u0000It is integral to include risk criteria as an addition to the three sustainability pillars: economic, environmental and social, to build a robust and sustainable CNO. One must combine the AHP and F-AHP weightings to ensure the most appropriate sustainable partner selection for the current as well as predicted future period.\u0000\u0000\u0000Research limitations/implications\u0000The approach proposed in this paper is intended to support existing CNO, as well as individual firms wanting to create a CNO, to build a more robust and sustainable partner selection process in the context of a force majeure such as COVID-19.\u0000\u0000\u0000Originality/value\u0000This paper presents a novel approach to the partner selection process for a sustainable CNO under current known conditions and future uncertain conditions, highlighting the risk of a force majeure occurring such as COVID-19.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49368107","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 : 2021-07-05DOI: 10.1108/JGOSS-01-2020-0009
Sarah Eyaa, R. Sridharan, S. Ryan
Purpose The purpose of this paper is to propose a conceptual model investigating the impact of three constructs, environmental uncertainty, power asymmetry and information sharing on opportunism engagement in exchange relationships. Design/methodology/approach Data were collected from procurement or sales managers of 99 manufacturing firms in Kampala, Uganda’s capital using a cross-sectional survey. Hypotheses were tested in both the agricultural and non-agricultural manufacturing sectors using multiple regression runs in the SPSS software. Findings Environmental uncertainty increases opportunism in the agricultural sector whilst power asymmetry increases opportunism in the non-agricultural sector. Across both sectors, information sharing does not have a significant impact on opportunism. Originality/value This paper contributes to a deeper understanding of opportunism in a developing country context by highlighting the contextual factors within the agricultural and non-agricultural manufacturing sectors that influence opportunism engagement under conditions of environmental uncertainty, power asymmetry and information sharing. This paper presents implications for practice and policy to minimise opportunism with the goal of enhancing the participation of Ugandan manufacturing firms in global supply chains.
{"title":"Determinants of opportunism in Uganda’s manufacturing sector:a comparison of two sectors","authors":"Sarah Eyaa, R. Sridharan, S. Ryan","doi":"10.1108/JGOSS-01-2020-0009","DOIUrl":"https://doi.org/10.1108/JGOSS-01-2020-0009","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to propose a conceptual model investigating the impact of three constructs, environmental uncertainty, power asymmetry and information sharing on opportunism engagement in exchange relationships.\u0000\u0000\u0000Design/methodology/approach\u0000Data were collected from procurement or sales managers of 99 manufacturing firms in Kampala, Uganda’s capital using a cross-sectional survey. Hypotheses were tested in both the agricultural and non-agricultural manufacturing sectors using multiple regression runs in the SPSS software.\u0000\u0000\u0000Findings\u0000Environmental uncertainty increases opportunism in the agricultural sector whilst power asymmetry increases opportunism in the non-agricultural sector. Across both sectors, information sharing does not have a significant impact on opportunism.\u0000\u0000\u0000Originality/value\u0000This paper contributes to a deeper understanding of opportunism in a developing country context by highlighting the contextual factors within the agricultural and non-agricultural manufacturing sectors that influence opportunism engagement under conditions of environmental uncertainty, power asymmetry and information sharing. This paper presents implications for practice and policy to minimise opportunism with the goal of enhancing the participation of Ugandan manufacturing firms in global supply chains.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46047011","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 : 2021-06-28DOI: 10.1108/JGOSS-12-2020-0070
Aswathy Sreenivasan, M. Suresh
Purpose Startups across all sectors are affected by the COVID-19 pandemic and are facing a formidable challenge in terms of marketing and operations. Most of the startups have experienced a downturn in demand and supply due to COVID-19 led disturbances in sourcing networks. This paper aims to identify, analyze and categorize the significant risks influencing sourcing operations in startups during the COVID-19 era in India, using the total interpretive structural modeling (TISM) approach. Design/methodology/approach Eight enablers were identified through literature review and expert opinions from various startups in India. This study adopted the TISM approach to analyze the inter-relationships between the enablers. Multiplication Applied to Classification (MICMAC) analysis was used to rank the sourcing risk enablers and classify them as autonomous, independent, linkage and dependent enablers. Findings The results indicate “insufficient fund” as the most critical enabler. Network issues and employee flexibility risk were among the other critical enablers that have a high driving power. Supplier risk, quality risk and demand risk were found to have highly dependent on other enablers for implementation. Research limitations/implications This study mainly focuses on the sourcing risks in startup operations in India. This study can be extended to many other countries. Practical implications This study will help startup industry managers and practitioners understand the interactions of enablers and identify critical enablers to mitigate risks in startup sourcing operations in the COVID-19 era. Originality/value The present study identifies the sourcing risk enablers in the COVID-19 era. It is the first attempt to analyze the interrelationship among sourcing risks in startups using the TISM approach.
{"title":"Modeling the enablers of sourcing risks faced by startups in COVID-19 era","authors":"Aswathy Sreenivasan, M. Suresh","doi":"10.1108/JGOSS-12-2020-0070","DOIUrl":"https://doi.org/10.1108/JGOSS-12-2020-0070","url":null,"abstract":"\u0000Purpose\u0000Startups across all sectors are affected by the COVID-19 pandemic and are facing a formidable challenge in terms of marketing and operations. Most of the startups have experienced a downturn in demand and supply due to COVID-19 led disturbances in sourcing networks. This paper aims to identify, analyze and categorize the significant risks influencing sourcing operations in startups during the COVID-19 era in India, using the total interpretive structural modeling (TISM) approach.\u0000\u0000\u0000Design/methodology/approach\u0000Eight enablers were identified through literature review and expert opinions from various startups in India. This study adopted the TISM approach to analyze the inter-relationships between the enablers. Multiplication Applied to Classification (MICMAC) analysis was used to rank the sourcing risk enablers and classify them as autonomous, independent, linkage and dependent enablers.\u0000\u0000\u0000Findings\u0000The results indicate “insufficient fund” as the most critical enabler. Network issues and employee flexibility risk were among the other critical enablers that have a high driving power. Supplier risk, quality risk and demand risk were found to have highly dependent on other enablers for implementation.\u0000\u0000\u0000Research limitations/implications\u0000This study mainly focuses on the sourcing risks in startup operations in India. This study can be extended to many other countries.\u0000\u0000\u0000Practical implications\u0000This study will help startup industry managers and practitioners understand the interactions of enablers and identify critical enablers to mitigate risks in startup sourcing operations in the COVID-19 era.\u0000\u0000\u0000Originality/value\u0000The present study identifies the sourcing risk enablers in the COVID-19 era. It is the first attempt to analyze the interrelationship among sourcing risks in startups using the TISM approach.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41837168","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 : 2021-06-10DOI: 10.1108/JGOSS-07-2020-0040
A. Shamsuzzoha, Sujan Piya, M. Shamsuzzaman
Purpose This study aims to propose a method known as the fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS) for complex project selection in organizations. To fulfill study objectives, the factors responsible for making a project complex are collected through literature review, which is then analyzed by fuzzy TOPSIS, based on three decision-makers’ opinions. Design/methodology/approach The selection of complex projects is a multi-criteria decision-making (MCDM) process for global organizations. Traditional procedures for selecting complex projects are not adequate due to the limitations of linguistic assessment. To crossover such limitation, this study proposes the fuzzy MCDM method to select complex projects in organizations. Findings A large-scale engine manufacturing company, engaged in the energy business, is studied to validate the suitability of the fuzzy TOPSIS method and rank eight projects of the case company based on project complexity. Out of these eight projects, the closeness coefficient of the most complex project is found to be 0.817 and that of the least complex project is found to be 0.274. Finally, study outcomes are concluded in the conclusion section, along with study limitations and future works. Research limitations/implications The outcomes from this research may not be generalized sufficiently due to the subjectivity of the interviewers. The study outcomes support project managers to optimize their project selection processes, especially to select complex projects. The presented methodology can be used extensively used by the project planners/managers to find the driving factors related to project complexity. Originality/value The presented study deliberately explained how complex projects in an organization could be select efficiently. This selection methodology supports top management to maintain their proposed projects with optimum resource allocations and maximum productivity.
{"title":"Application of fuzzy TOPSIS framework for selecting complex project in a case company","authors":"A. Shamsuzzoha, Sujan Piya, M. Shamsuzzaman","doi":"10.1108/JGOSS-07-2020-0040","DOIUrl":"https://doi.org/10.1108/JGOSS-07-2020-0040","url":null,"abstract":"\u0000Purpose\u0000This study aims to propose a method known as the fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS) for complex project selection in organizations. To fulfill study objectives, the factors responsible for making a project complex are collected through literature review, which is then analyzed by fuzzy TOPSIS, based on three decision-makers’ opinions.\u0000\u0000\u0000Design/methodology/approach\u0000The selection of complex projects is a multi-criteria decision-making (MCDM) process for global organizations. Traditional procedures for selecting complex projects are not adequate due to the limitations of linguistic assessment. To crossover such limitation, this study proposes the fuzzy MCDM method to select complex projects in organizations.\u0000\u0000\u0000Findings\u0000A large-scale engine manufacturing company, engaged in the energy business, is studied to validate the suitability of the fuzzy TOPSIS method and rank eight projects of the case company based on project complexity. Out of these eight projects, the closeness coefficient of the most complex project is found to be 0.817 and that of the least complex project is found to be 0.274. Finally, study outcomes are concluded in the conclusion section, along with study limitations and future works.\u0000\u0000\u0000Research limitations/implications\u0000The outcomes from this research may not be generalized sufficiently due to the subjectivity of the interviewers. The study outcomes support project managers to optimize their project selection processes, especially to select complex projects. The presented methodology can be used extensively used by the project planners/managers to find the driving factors related to project complexity.\u0000\u0000\u0000Originality/value\u0000The presented study deliberately explained how complex projects in an organization could be select efficiently. This selection methodology supports top management to maintain their proposed projects with optimum resource allocations and maximum productivity.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41928155","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 : 2021-05-12DOI: 10.1108/JGOSS-07-2020-0037
Movin Sequeira, P. Hilletofth, A. Adlemo
Purpose The existing literature expresses a strong need to develop tools that support the manufacturing reshoring decision-making process. This paper aims to examine the suitability of analytical hierarchy process (AHP)-based tools for initial screening of manufacturing reshoring decisions. Design/methodology/approach Two AHP-based tools for the initial screening of manufacturing reshoring decisions are developed. The first tool is based on traditional AHP, while the second is based on fuzzy-AHP. Six high-level and holistic reshoring criteria based on competitive priorities were identified through a literature review. Next, a panel of experts from a Swedish manufacturing company was involved in the overall comparison of the criteria. Based on this comparison, priority weights of the criteria were obtained through a pairwise analysis. Subsequently, the priority weights were used in a weighted-sum manner to evaluate 20 reshoring scenarios. Afterwards, the outputs from the traditional AHP and fuzzy-AHP tools were compared to the opinions of the experts. Finally, a sensitivity analysis was performed to evaluate the stability of the developed decision support tools. Findings The research demonstrates that AHP-based support tools are suitable for the initial screening of manufacturing reshoring decisions. With regard to the presented set of criteria and reshoring scenarios, both traditional AHP and fuzzy-AHP are shown to be consistent with the experts' decisions. Moreover, fuzzy-AHP is shown to be marginally more reliable than traditional AHP. According to the sensitivity analysis, the order of importance of the six criteria is stable for high values of weights of cost and quality criteria. Research limitations/implications The limitation of the developed AHP-based tools is that they currently only include a limited number of high-level decision criteria. Therefore, future research should focus on adding low-level criteria to the tools using a multi-level architecture. The current research contributes to the body of literature on the manufacturing reshoring decision-making process by addressing decision-making issues in general and by demonstrating the suitability of two decision support tools applied to the manufacturing reshoring field in particular. Practical implications This research provides practitioners with two decision support tools for the initial screening of manufacturing reshoring decisions, which will help managers optimize their time and resources on the most promising reshoring alternatives. Given the complex nature of reshoring decisions, the results from the fuzzy-AHP are shown to be slightly closer to those of the experts than traditional AHP for initial screening of manufacturing relocation decisions. Originality/value This paper describes two decision support tools that can be applied for the initial screening of manufacturing reshoring decisions while considering six high-level and holistic criteria. Both support tools
{"title":"AHP-based support tools for initial screening of manufacturing reshoring decisions","authors":"Movin Sequeira, P. Hilletofth, A. Adlemo","doi":"10.1108/JGOSS-07-2020-0037","DOIUrl":"https://doi.org/10.1108/JGOSS-07-2020-0037","url":null,"abstract":"\u0000Purpose\u0000The existing literature expresses a strong need to develop tools that support the manufacturing reshoring decision-making process. This paper aims to examine the suitability of analytical hierarchy process (AHP)-based tools for initial screening of manufacturing reshoring decisions.\u0000\u0000\u0000Design/methodology/approach\u0000Two AHP-based tools for the initial screening of manufacturing reshoring decisions are developed. The first tool is based on traditional AHP, while the second is based on fuzzy-AHP. Six high-level and holistic reshoring criteria based on competitive priorities were identified through a literature review. Next, a panel of experts from a Swedish manufacturing company was involved in the overall comparison of the criteria. Based on this comparison, priority weights of the criteria were obtained through a pairwise analysis. Subsequently, the priority weights were used in a weighted-sum manner to evaluate 20 reshoring scenarios. Afterwards, the outputs from the traditional AHP and fuzzy-AHP tools were compared to the opinions of the experts. Finally, a sensitivity analysis was performed to evaluate the stability of the developed decision support tools.\u0000\u0000\u0000Findings\u0000The research demonstrates that AHP-based support tools are suitable for the initial screening of manufacturing reshoring decisions. With regard to the presented set of criteria and reshoring scenarios, both traditional AHP and fuzzy-AHP are shown to be consistent with the experts' decisions. Moreover, fuzzy-AHP is shown to be marginally more reliable than traditional AHP. According to the sensitivity analysis, the order of importance of the six criteria is stable for high values of weights of cost and quality criteria.\u0000\u0000\u0000Research limitations/implications\u0000The limitation of the developed AHP-based tools is that they currently only include a limited number of high-level decision criteria. Therefore, future research should focus on adding low-level criteria to the tools using a multi-level architecture. The current research contributes to the body of literature on the manufacturing reshoring decision-making process by addressing decision-making issues in general and by demonstrating the suitability of two decision support tools applied to the manufacturing reshoring field in particular.\u0000\u0000\u0000Practical implications\u0000This research provides practitioners with two decision support tools for the initial screening of manufacturing reshoring decisions, which will help managers optimize their time and resources on the most promising reshoring alternatives. Given the complex nature of reshoring decisions, the results from the fuzzy-AHP are shown to be slightly closer to those of the experts than traditional AHP for initial screening of manufacturing relocation decisions.\u0000\u0000\u0000Originality/value\u0000This paper describes two decision support tools that can be applied for the initial screening of manufacturing reshoring decisions while considering six high-level and holistic criteria. Both support tools","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46046656","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 : 2021-02-22DOI: 10.1108/JGOSS-06-2020-0029
Grzegorz Grela, M. Hofman
Purpose This study aims to examine whether insourcing of processes pays off and verifies key hypotheses regarding the financial ratios of organisations. Design/methodology/approach This paper randomly selects and then surveys 1996 organisations, of which 9.5% (190) stated that they used insourcing, 1.9% (37) made a decision to implement insourcing in the near future and 88.6% did not use insourcing. Then, for available firm data (100 insourcing firms and 100 firms without it), the financial statements of the surveyed companies were obtained to compare the most important financial ratios. The financial situation was compared at four-time points. The mean and median values of individual indicators were compared with the significance of relevant statistical tests. Findings A U-shaped curve of financial results in the time of enterprises that implemented insourcing and reverse U-shaped curve for enterprises that did not have insourcing are seen. Thus, the insourcing of processes pays off in the long run. Research limitations/implications Limitations exist in the generalisation of the results obtained, due to the limited number of samples qualified for analyses (limited reliable financial data). Practical implications The research highlights the importance of effective insourcing projects in the long term. Originality/value This study is the first to quantify the financial performance of companies that have used insourcing in comparison with a reference group. This paper defines insourcing and contributes to the growing number of studies on insourcing by bringing attention to the financial outcomes in the long run.
{"title":"Does insourcing of processes pay off?","authors":"Grzegorz Grela, M. Hofman","doi":"10.1108/JGOSS-06-2020-0029","DOIUrl":"https://doi.org/10.1108/JGOSS-06-2020-0029","url":null,"abstract":"\u0000Purpose\u0000This study aims to examine whether insourcing of processes pays off and verifies key hypotheses regarding the financial ratios of organisations.\u0000\u0000\u0000Design/methodology/approach\u0000This paper randomly selects and then surveys 1996 organisations, of which 9.5% (190) stated that they used insourcing, 1.9% (37) made a decision to implement insourcing in the near future and 88.6% did not use insourcing. Then, for available firm data (100 insourcing firms and 100 firms without it), the financial statements of the surveyed companies were obtained to compare the most important financial ratios. The financial situation was compared at four-time points. The mean and median values of individual indicators were compared with the significance of relevant statistical tests.\u0000\u0000\u0000Findings\u0000A U-shaped curve of financial results in the time of enterprises that implemented insourcing and reverse U-shaped curve for enterprises that did not have insourcing are seen. Thus, the insourcing of processes pays off in the long run.\u0000\u0000\u0000Research limitations/implications\u0000Limitations exist in the generalisation of the results obtained, due to the limited number of samples qualified for analyses (limited reliable financial data).\u0000\u0000\u0000Practical implications\u0000The research highlights the importance of effective insourcing projects in the long term.\u0000\u0000\u0000Originality/value\u0000This study is the first to quantify the financial performance of companies that have used insourcing in comparison with a reference group. This paper defines insourcing and contributes to the growing number of studies on insourcing by bringing attention to the financial outcomes in the long run.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47480878","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 : 2020-05-02DOI: 10.1108/jgoss-02-2019-0012
S. Taponen, K. Kauppi
Purpose The purpose of this paper is to compare service outsourcing decisions between public and private organizations and against a theoretical decision-making framework to both understand differences across the sectors and to provide an outsourcing framework more suitable specifically for outsourcing (and for the public sector). Design/methodology/approach Multiple case studies, i.e. a study of phenomena (here outsourcing process) at various sites is used as an approach. Findings Findings indicate that public sector organizations are trailing behind private sector organizations in how the decision-making process is conducted and resourced. The authors suggest regular evaluation of service functions internally as a starting point for the outsourcing service decision-making process. Additionally, the market analysis should be done prior to cost analysis and benchmarking as the availability of suppliers more qualified than the internal process defines the make or buy decision. Research limitations/implications The newly developed framework based on empirical evidence includes the following phases: regular evaluation of service functions, market analysis, cost analysis and benchmarking and evaluating relevant service activities. Applying the framework improves the efficient delivery of outsourced public services and brings public sector outsourcing closer to the professionalism currently present in the private sector. Originality/value Choosing between in-house and outsourced service delivery is a fundamental decision in both private and public sector organizations. Previous outsourcing research has mostly focused on the private sector, with limited focus on the public sector’s outsourcing processes, yet understanding of the service outsourcing process is important in ensuring organizational competitiveness and cost efficiency.
{"title":"Service outsourcing decisions – a process framework","authors":"S. Taponen, K. Kauppi","doi":"10.1108/jgoss-02-2019-0012","DOIUrl":"https://doi.org/10.1108/jgoss-02-2019-0012","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to compare service outsourcing decisions between public and private organizations and against a theoretical decision-making framework to both understand differences across the sectors and to provide an outsourcing framework more suitable specifically for outsourcing (and for the public sector).\u0000\u0000\u0000Design/methodology/approach\u0000Multiple case studies, i.e. a study of phenomena (here outsourcing process) at various sites is used as an approach.\u0000\u0000\u0000Findings\u0000Findings indicate that public sector organizations are trailing behind private sector organizations in how the decision-making process is conducted and resourced. The authors suggest regular evaluation of service functions internally as a starting point for the outsourcing service decision-making process. Additionally, the market analysis should be done prior to cost analysis and benchmarking as the availability of suppliers more qualified than the internal process defines the make or buy decision.\u0000\u0000\u0000Research limitations/implications\u0000The newly developed framework based on empirical evidence includes the following phases: regular evaluation of service functions, market analysis, cost analysis and benchmarking and evaluating relevant service activities. Applying the framework improves the efficient delivery of outsourced public services and brings public sector outsourcing closer to the professionalism currently present in the private sector.\u0000\u0000\u0000Originality/value\u0000Choosing between in-house and outsourced service delivery is a fundamental decision in both private and public sector organizations. Previous outsourcing research has mostly focused on the private sector, with limited focus on the public sector’s outsourcing processes, yet understanding of the service outsourcing process is important in ensuring organizational competitiveness and cost efficiency.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/jgoss-02-2019-0012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42913809","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 : 2019-11-01DOI: 10.1108/JGOSS-07-2018-0026
P. Andersen, Ina Drejer, C. Østergaard, P. Søberg, B. V. Wæhrens
Purpose This paper aims to explore value creation configurations pursued by suppliers in high-cost countries. The proposed value creation configuration approaches are seen as means for supplier firms to strengthen their competitiveness when faced with increasing global sourcing. Design/methodology/approach Survey data on supplier firms in Denmark are used in a hierarchical cluster analysis. The identified clusters are interpreted as expressions of different value creation configurations pursued by suppliers with regards to relations with their most important customers. Findings Three types of suppliers are identified: detached suppliers, which seek to create customer net benefits through low costs; technology-focused suppliers, which design value creation around benefits linked to being at the technological forefront; and integrated suppliers, which share characteristics with technology-focused suppliers, but also align closely with a relatively broader range of customer activities. Research limitations/implications Limitations include the specificity of findings from one small, open economy with an extensive supplier base. Practical implications For managers in supplier companies, the research suggest value configurations can be used as strategic templates for further specialization and as way to assess and address value creation potential in customer firms. Originality/value Previous studies tend to overlook suppliers’ developments of value-creating activities to maintain customer relationships. The paper takes a supplier perspective to deepen the empirically based understanding of value creation configurations followed by high-cost country suppliers in the context of increasing global competition and production relocation. Theoretical implications as well as lessons formanagers in supplier firms of the identification of the different approaches to value creation configurations are presented.
{"title":"Supplier value creation configurations in high-cost countries","authors":"P. Andersen, Ina Drejer, C. Østergaard, P. Søberg, B. V. Wæhrens","doi":"10.1108/JGOSS-07-2018-0026","DOIUrl":"https://doi.org/10.1108/JGOSS-07-2018-0026","url":null,"abstract":"\u0000Purpose\u0000This paper aims to explore value creation configurations pursued by suppliers in high-cost countries. The proposed value creation configuration approaches are seen as means for supplier firms to strengthen their competitiveness when faced with increasing global sourcing.\u0000\u0000\u0000Design/methodology/approach\u0000Survey data on supplier firms in Denmark are used in a hierarchical cluster analysis. The identified clusters are interpreted as expressions of different value creation configurations pursued by suppliers with regards to relations with their most important customers.\u0000\u0000\u0000Findings\u0000Three types of suppliers are identified: detached suppliers, which seek to create customer net benefits through low costs; technology-focused suppliers, which design value creation around benefits linked to being at the technological forefront; and integrated suppliers, which share characteristics with technology-focused suppliers, but also align closely with a relatively broader range of customer activities.\u0000\u0000\u0000Research limitations/implications\u0000Limitations include the specificity of findings from one small, open economy with an extensive supplier base.\u0000\u0000\u0000Practical implications\u0000For managers in supplier companies, the research suggest value configurations can be used as strategic templates for further specialization and as way to assess and address value creation potential in customer firms.\u0000\u0000\u0000Originality/value\u0000Previous studies tend to overlook suppliers’ developments of value-creating activities to maintain customer relationships. The paper takes a supplier perspective to deepen the empirically based understanding of value creation configurations followed by high-cost country suppliers in the context of increasing global competition and production relocation. Theoretical implications as well as lessons formanagers in supplier firms of the identification of the different approaches to value creation configurations are presented.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1108/JGOSS-07-2018-0026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44583771","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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