Pub Date : 2021-08-19DOI: 10.1108/jgoss-07-2020-0033
Kalpana Tokas
Purpose This paper aims to carry out a qualitative analysis to compare India and China as a choice of service-provider from the perspective of Japanese MNEs for information technology (IT)-IT enabled services (ITeS) offshoring destination, using the four dimensions of the cultural-administrative-geographic-economic (CAGE) distance framework by Ghemawat (2001). Design/methodology/approach This exploratory study used a mix of primary and secondary evidence to carry out a comparative evaluation of the challenges and synergies existent between India and Japan relative to China and Japan, in the context of IT-ITeS offshoring industry. Fourteen semi-structured interviews were conducted with multiple stakeholders and the findings were classified using the CAGE framework. Findings The paper discusses that for IT-ITeS industry, owing to its characteristics and the changing global order in the post-pandemic world, the “distances” that matter the most for business engagement between countries are – cultural, administrative and economic. Based on the comparative analysis, it was seen that China fares better than India, from a Japanese perspective, for the case of cultural and geographic distances while India had an advantage in the case of administrative and economic distances. Thus, India and Japan seem to have higher synergies and potential mutual gains by expanding engagement in the IT-ITeS industry in future. Research limitations/implications One of the limitations of this paper was the lack of comparable secondary data source concerning the size, growth rates, exports, employment figures for China that could have helped establish the contrast in the structure of IT-ITeS industry of India and China. Originality/value This study provides a framework for a comparative analysis of multiple facets of “distance” between competing service providing nations at bilateral, as well as unilateral level, in a holistic manner for the IT-ITeS offshoring industry. The results thus provide the gaps that shall be bridged by the policymakers for realizing mutual benefits.
{"title":"IT services offshoring from Japan: a multi-dimensional comparative analysis between India and China","authors":"Kalpana Tokas","doi":"10.1108/jgoss-07-2020-0033","DOIUrl":"https://doi.org/10.1108/jgoss-07-2020-0033","url":null,"abstract":"\u0000Purpose\u0000This paper aims to carry out a qualitative analysis to compare India and China as a choice of service-provider from the perspective of Japanese MNEs for information technology (IT)-IT enabled services (ITeS) offshoring destination, using the four dimensions of the cultural-administrative-geographic-economic (CAGE) distance framework by Ghemawat (2001).\u0000\u0000\u0000Design/methodology/approach\u0000This exploratory study used a mix of primary and secondary evidence to carry out a comparative evaluation of the challenges and synergies existent between India and Japan relative to China and Japan, in the context of IT-ITeS offshoring industry. Fourteen semi-structured interviews were conducted with multiple stakeholders and the findings were classified using the CAGE framework.\u0000\u0000\u0000Findings\u0000The paper discusses that for IT-ITeS industry, owing to its characteristics and the changing global order in the post-pandemic world, the “distances” that matter the most for business engagement between countries are – cultural, administrative and economic. Based on the comparative analysis, it was seen that China fares better than India, from a Japanese perspective, for the case of cultural and geographic distances while India had an advantage in the case of administrative and economic distances. Thus, India and Japan seem to have higher synergies and potential mutual gains by expanding engagement in the IT-ITeS industry in future.\u0000\u0000\u0000Research limitations/implications\u0000One of the limitations of this paper was the lack of comparable secondary data source concerning the size, growth rates, exports, employment figures for China that could have helped establish the contrast in the structure of IT-ITeS industry of India and China.\u0000\u0000\u0000Originality/value\u0000This study provides a framework for a comparative analysis of multiple facets of “distance” between competing service providing nations at bilateral, as well as unilateral level, in a holistic manner for the IT-ITeS offshoring industry. The results thus provide the gaps that shall be bridged by the policymakers for realizing mutual benefits.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46573790","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 : 2021-08-19DOI: 10.1108/jgoss-11-2019-0063
Mads Bejlegaard, Ioan-Matei Sarivan, B. V. Wæhrens
Purpose This paper aims to investigate the impact of the strategic transformation of engineering to order company (ETO) at the level of the internal value-adding chain of operations on its position as a sub-supplier. The transformation is motivated and enabled by end-to-end business intelligence related to processes revolving around the product’s design, configuration and engineering. The investigation builds on case-based research following the company’s decision of converting its product portfolio to only one family of products, thus increasing process efficiency whilst at the same time enlarging its market reach by offering individualized and innovative products. By digitally integrating operations related to sales, product development and production preparation, the traditional trade-off between cost-effective solutions with high product variety and low lead-time is significantly reduced. Design/methodology/approach A design science research project has been conducted to create knowledge on the effects of integration across the value-adding chain of operations. Several design cycles illustrate how development based on business intelligence and available technological enablers for inter-operation integration influence the traditional approach towards supply chain pipeline selection strategies. Findings Relating to digital transformation, the consequences and means of adopting digital business intelligence for integrating several administrative and engineering operations in small-medium enterprises (SME) are studied. The product delivery performance of the SME is improved, thus, having ETO lead-time comparable to manufacturing to order company. The findings show how the adoption of state-of-the-art technological solutions for cross-operation digital integration challenges traditional supply chain, coordination models. Research limitations/implications The conclusions are drawn based on a single case. The limitations associated with case-based research call for further work to support generalization. Furthermore, the long-term influence of the effects of increased interoperability on supply chain coordination strategies requires further investigation. Practical implications As technological solutions evolve, new opportunities for supply chain management arise, which put into question the traditional understanding that complex supply chain pipeline characteristics should be handled by complexity reducing initiatives, which opens up new competitive opportunities for companies in high-cost countries. Social implications Enabling the use of human resources towards expanding the business (rather than running it only) are aligned with the current economic and political situation in high-cost countries like Denmark and potentially releases skilled employees from repetitive and low value-adding work and reengages them in business development. Originality/value By embracing flexibility and volatility as an opportunity, this publication exemp
{"title":"The influence of digital technologies on supply chain coordination strategies","authors":"Mads Bejlegaard, Ioan-Matei Sarivan, B. V. Wæhrens","doi":"10.1108/jgoss-11-2019-0063","DOIUrl":"https://doi.org/10.1108/jgoss-11-2019-0063","url":null,"abstract":"\u0000Purpose\u0000This paper aims to investigate the impact of the strategic transformation of engineering to order company (ETO) at the level of the internal value-adding chain of operations on its position as a sub-supplier. The transformation is motivated and enabled by end-to-end business intelligence related to processes revolving around the product’s design, configuration and engineering. The investigation builds on case-based research following the company’s decision of converting its product portfolio to only one family of products, thus increasing process efficiency whilst at the same time enlarging its market reach by offering individualized and innovative products. By digitally integrating operations related to sales, product development and production preparation, the traditional trade-off between cost-effective solutions with high product variety and low lead-time is significantly reduced.\u0000\u0000\u0000Design/methodology/approach\u0000A design science research project has been conducted to create knowledge on the effects of integration across the value-adding chain of operations. Several design cycles illustrate how development based on business intelligence and available technological enablers for inter-operation integration influence the traditional approach towards supply chain pipeline selection strategies.\u0000\u0000\u0000Findings\u0000Relating to digital transformation, the consequences and means of adopting digital business intelligence for integrating several administrative and engineering operations in small-medium enterprises (SME) are studied. The product delivery performance of the SME is improved, thus, having ETO lead-time comparable to manufacturing to order company. The findings show how the adoption of state-of-the-art technological solutions for cross-operation digital integration challenges traditional supply chain, coordination models.\u0000\u0000\u0000Research limitations/implications\u0000The conclusions are drawn based on a single case. The limitations associated with case-based research call for further work to support generalization. Furthermore, the long-term influence of the effects of increased interoperability on supply chain coordination strategies requires further investigation.\u0000\u0000\u0000Practical implications\u0000As technological solutions evolve, new opportunities for supply chain management arise, which put into question the traditional understanding that complex supply chain pipeline characteristics should be handled by complexity reducing initiatives, which opens up new competitive opportunities for companies in high-cost countries.\u0000\u0000\u0000Social implications\u0000Enabling the use of human resources towards expanding the business (rather than running it only) are aligned with the current economic and political situation in high-cost countries like Denmark and potentially releases skilled employees from repetitive and low value-adding work and reengages them in business development.\u0000\u0000\u0000Originality/value\u0000By embracing flexibility and volatility as an opportunity, this publication exemp","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49518129","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 : 2021-08-11DOI: 10.1108/JGOSS-03-2021-0028
Osama F. Atayah, M. Dhiaf, K. Najaf, G. Frederico
Purpose This study aims to contribute to the extant literature on logistics by investigating the interrelationship between the financial performance of listed logistics firms and the COVID-19 and compare the logistics firms’ financial performance of G-20 countries during the pandemic period. Design/methodology/approach To conduct the confirmatory analysis by testing the hypotheses formulated for this study, data have been collected from Bloomberg of all logistics firms from G-20 countries. This paper gathered the first quarter from 2010 until the last quarter of 2020 as the research sample to examine the pandemic impact on financial performance. Findings The results show that the financial performance of logistic firms was significantly higher during 2020. Overall, the country-wise findings corroborated with the main results and the financial performance of 14 countries’ logistic firms out of 20 ones analysed has been significantly elevated, during the pandemic period. However, this paper has found out a negative financial performance of the logistics firms during the COVID-19 period in six countries (Germany, Korea, Russia, Mexico, Saudi Arabia and the UK), which support the second proposition. Research limitations/implications The study’s results were important as they highlighted the role of logistics firms in offering insights to academics, practitioners, policymakers and logistic firms’ stakeholders. For future research, this paper suggests including some other variables that might influence firm performance and that have not been considered in this study, which is a limitation, and going more deeply into the logistics sector by comparing the financial performance of the sub-sectors. Practical implications As the importance of logistics services during the pandemic period is relevant, this study may provide significant insights because the logistics firms play a crucial role by anticipating to ensure the supply of essential items such as food, medicine, then supporting for the continuity of supply chains. The view of finance impacts during the pandemic may provide insightful perspectives for logistics companies, allowing them to understand those impacts and better prepare for likely disruption events such COVID-19 pandemic. Originality/value This paper is novel considering that it is unique in evaluating logistics firms’ financial performance from a global perspective, considering the context of this historical pandemic.
{"title":"Impact of COVID-19 on financial performance of logistics firms: evidence from G-20 countries","authors":"Osama F. Atayah, M. Dhiaf, K. Najaf, G. Frederico","doi":"10.1108/JGOSS-03-2021-0028","DOIUrl":"https://doi.org/10.1108/JGOSS-03-2021-0028","url":null,"abstract":"\u0000Purpose\u0000This study aims to contribute to the extant literature on logistics by investigating the interrelationship between the financial performance of listed logistics firms and the COVID-19 and compare the logistics firms’ financial performance of G-20 countries during the pandemic period.\u0000\u0000\u0000Design/methodology/approach\u0000To conduct the confirmatory analysis by testing the hypotheses formulated for this study, data have been collected from Bloomberg of all logistics firms from G-20 countries. This paper gathered the first quarter from 2010 until the last quarter of 2020 as the research sample to examine the pandemic impact on financial performance.\u0000\u0000\u0000Findings\u0000The results show that the financial performance of logistic firms was significantly higher during 2020. Overall, the country-wise findings corroborated with the main results and the financial performance of 14 countries’ logistic firms out of 20 ones analysed has been significantly elevated, during the pandemic period. However, this paper has found out a negative financial performance of the logistics firms during the COVID-19 period in six countries (Germany, Korea, Russia, Mexico, Saudi Arabia and the UK), which support the second proposition.\u0000\u0000\u0000Research limitations/implications\u0000The study’s results were important as they highlighted the role of logistics firms in offering insights to academics, practitioners, policymakers and logistic firms’ stakeholders. For future research, this paper suggests including some other variables that might influence firm performance and that have not been considered in this study, which is a limitation, and going more deeply into the logistics sector by comparing the financial performance of the sub-sectors.\u0000\u0000\u0000Practical implications\u0000As the importance of logistics services during the pandemic period is relevant, this study may provide significant insights because the logistics firms play a crucial role by anticipating to ensure the supply of essential items such as food, medicine, then supporting for the continuity of supply chains. The view of finance impacts during the pandemic may provide insightful perspectives for logistics companies, allowing them to understand those impacts and better prepare for likely disruption events such COVID-19 pandemic.\u0000\u0000\u0000Originality/value\u0000This paper is novel considering that it is unique in evaluating logistics firms’ financial performance from a global perspective, considering the context of this historical pandemic.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44799120","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 : 2021-08-06DOI: 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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：