Pub Date : 2023-07-20DOI: 10.1108/jgoss-03-2023-0014
Bharti Ramtiyal, Paras Garg, Shubham Johari, A. Rathore, Abhilash Thakrey
Purpose Sustainable manufacturing practices are excessively being practised in the industry today. The impact on sustainability is ever more visible to the stakeholders because of faster and more efficient communication due to social media and the internet. This paper aims to study the impact of greenwashing by corporations and the stakeholders’ environmental concerns on consumers’ sustainable purchase behaviour. Design/methodology/approach The relationships between the impression of “greenwash”, sustainable purchasing behaviour, green word-of-mouth and green brand loyalty were investigated in this quantitative study. Participants who made up a representative sample filled out written surveys. The variables of interest were evaluated using scales that have undergone validation. Structural equation modelling was used in mediation analysis to investigate the mediating impacts of green word-of-mouth and green brand loyalty. The goal of the study was to offer empirical proof of how these factors affected consumers’ choices for sustainable products. Findings Analysis of the mediating relationship of perceived customer effectiveness in the relationship between environmental concern and sustainable purchase behaviour has been studied. Research limitations/implications This study implicates that a company that primarily markets basic green and sustainable products or services must invest in informing people about environmental concerns and that by proper practices, a lot of the harm to the environment can be reduced. Originality/value Corporate greenwashing, also called false greening, has received much public attention recently. The unethical practices by the corporations, which previously majorly went unnoticed, have also recently gained a lot of visibility. This paper is one of the early attempts towards establishing the effect of corporate greenwashing on sustainable consumer behaviour.
{"title":"Investigating the effects of corporate social responsibility on sustainable consumer purchase behavior","authors":"Bharti Ramtiyal, Paras Garg, Shubham Johari, A. Rathore, Abhilash Thakrey","doi":"10.1108/jgoss-03-2023-0014","DOIUrl":"https://doi.org/10.1108/jgoss-03-2023-0014","url":null,"abstract":"Purpose\u0000Sustainable manufacturing practices are excessively being practised in the industry today. The impact on sustainability is ever more visible to the stakeholders because of faster and more efficient communication due to social media and the internet. This paper aims to study the impact of greenwashing by corporations and the stakeholders’ environmental concerns on consumers’ sustainable purchase behaviour.\u0000\u0000\u0000Design/methodology/approach\u0000The relationships between the impression of “greenwash”, sustainable purchasing behaviour, green word-of-mouth and green brand loyalty were investigated in this quantitative study. Participants who made up a representative sample filled out written surveys. The variables of interest were evaluated using scales that have undergone validation. Structural equation modelling was used in mediation analysis to investigate the mediating impacts of green word-of-mouth and green brand loyalty. The goal of the study was to offer empirical proof of how these factors affected consumers’ choices for sustainable products.\u0000\u0000\u0000Findings\u0000Analysis of the mediating relationship of perceived customer effectiveness in the relationship between environmental concern and sustainable purchase behaviour has been studied.\u0000\u0000\u0000Research limitations/implications\u0000This study implicates that a company that primarily markets basic green and sustainable products or services must invest in informing people about environmental concerns and that by proper practices, a lot of the harm to the environment can be reduced.\u0000\u0000\u0000Originality/value\u0000Corporate greenwashing, also called false greening, has received much public attention recently. The unethical practices by the corporations, which previously majorly went unnoticed, have also recently gained a lot of visibility. This paper is one of the early attempts towards establishing the effect of corporate greenwashing on sustainable consumer behaviour.","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41458811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-18DOI: 10.1108/jgoss-08-2022-0093
Mohidul Alam Mallick, S. Mukhopadhyay
Purpose Staffing is one of the most influential human resource (HR) activities and is the primary method of hiring and retaining human resources. Among staffing’s several activities, recruitment and selection are one of the most crucial activities. It is possible to rehire former firm employees using the talent management strategy known as “boomerang recruitment”. The boomerang recruitment trend has tremendously grown because many employees who believe they are qualified for the position now wish to return to their old employers. According to data, boomerang employees can be 50% less expensive than conventional ways of hiring. The purpose of this study is to identify the generic critical factors that play a role in the boomerang hiring process based on the literature review. Next, the objective is to determine the relative weight of each of these factors, rank the candidates, and develop a decision-making model for boomerang recruitment. Design/methodology/approach This paper focuses on the grey-based multicriteria decision-making (MCDM) methodology for recruiting some of the best candidates out of a few who worked for the organization earlier. The grey theory yields adequate findings despite sparse data or significant factor variability. Like MCDM, the grey methods also incorporate experts' opinions for evaluation. Furthermore, sensitivity analysis is also done to show the robustness of the suggested methodology. Findings Seven (7) recruitment criteria for boomerang employees were identified and validated based on the opinions of industry experts. Using these recruitment criteria, three candidates emerged as the top three and created a pool out of six. In addition, this study finds that Criteria 1 (C1), the employee's past performance, is the most significant predictor among all other criteria in boomerang hiring. Research limitations/implications Since the weights and ratings of attributes and alternatives in MCDM methods are primarily based on expert opinion, a significant difference in expert opinions (caused by differences in their knowledge and qualifications) may impact the values of the grey possibility degree. However, enough attention was taken while selecting the experts for this study regarding their expertise and subject experience. Practical implications The proposed method provides the groundwork for HR management. Managers confronted with recruiting employees who want to rejoin may use this model. According to experts, each attribute is not only generic but also crucial. In addition, because these factors apply to all sectors, they are industry-neutral. Originality/value To the best of the authors’ knowledge, this is the first study to apply a grey-based MCDM methodology to the boomerang recruitment model. This study also uses an example to explain the computational intricacies associated with such methods. The proposed system may be reproduced for boomerang recruiting in any sector because the framework is universal an
{"title":"Boomerang recruitment: an intelligent model for rehiring using a grey-based multicriteria decision-making methodology","authors":"Mohidul Alam Mallick, S. Mukhopadhyay","doi":"10.1108/jgoss-08-2022-0093","DOIUrl":"https://doi.org/10.1108/jgoss-08-2022-0093","url":null,"abstract":"\u0000Purpose\u0000Staffing is one of the most influential human resource (HR) activities and is the primary method of hiring and retaining human resources. Among staffing’s several activities, recruitment and selection are one of the most crucial activities. It is possible to rehire former firm employees using the talent management strategy known as “boomerang recruitment”. The boomerang recruitment trend has tremendously grown because many employees who believe they are qualified for the position now wish to return to their old employers. According to data, boomerang employees can be 50% less expensive than conventional ways of hiring. The purpose of this study is to identify the generic critical factors that play a role in the boomerang hiring process based on the literature review. Next, the objective is to determine the relative weight of each of these factors, rank the candidates, and develop a decision-making model for boomerang recruitment.\u0000\u0000\u0000Design/methodology/approach\u0000This paper focuses on the grey-based multicriteria decision-making (MCDM) methodology for recruiting some of the best candidates out of a few who worked for the organization earlier. The grey theory yields adequate findings despite sparse data or significant factor variability. Like MCDM, the grey methods also incorporate experts' opinions for evaluation. Furthermore, sensitivity analysis is also done to show the robustness of the suggested methodology.\u0000\u0000\u0000Findings\u0000Seven (7) recruitment criteria for boomerang employees were identified and validated based on the opinions of industry experts. Using these recruitment criteria, three candidates emerged as the top three and created a pool out of six. In addition, this study finds that Criteria 1 (C1), the employee's past performance, is the most significant predictor among all other criteria in boomerang hiring.\u0000\u0000\u0000Research limitations/implications\u0000Since the weights and ratings of attributes and alternatives in MCDM methods are primarily based on expert opinion, a significant difference in expert opinions (caused by differences in their knowledge and qualifications) may impact the values of the grey possibility degree. However, enough attention was taken while selecting the experts for this study regarding their expertise and subject experience.\u0000\u0000\u0000Practical implications\u0000The proposed method provides the groundwork for HR management. Managers confronted with recruiting employees who want to rejoin may use this model. According to experts, each attribute is not only generic but also crucial. In addition, because these factors apply to all sectors, they are industry-neutral.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this is the first study to apply a grey-based MCDM methodology to the boomerang recruitment model. This study also uses an example to explain the computational intricacies associated with such methods. The proposed system may be reproduced for boomerang recruiting in any sector because the framework is universal an","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44957298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-12DOI: 10.1108/jgoss-06-2022-0075
Jude Jegan Joseph Jerome, Vandana Sonwaney, Arunkumar O.N.
Purpose In the era of multiple global disruptions, firms are finding it to continue their business. MSMEs are impacted more as they have constrained resources. Organizational flexibility has emerged as an organizational and management principle that would help firms stay competitive even in volatile markets. This study aims to present a set of guidelines and insights for MSME managers to implement organizational flexibility in their organizations. Design/methodology/approach This study uses total interpretive structural modelling to study how the various factors contributing to organizational flexibility behave together. Behavioural theory is used to explain why organizations need to incorporate flexibility, and systems theory of organization is used to explain why an organization needs to have open boundaries. Findings Organizational flexibility is a principle that may be supported by the systems theory of organization. The study has shown that it is important for MSMEs to have supply chain collaborations to be more flexible. The study also shows pressure from competitors as the key driver that would make a firm more flexible, and that adequate support from management and technological skills are required to drive flexibility in an organization. Research limitations/implications Single respondent bias may have occurred in this study. This can be eliminated by interviewing multiple people from the same organization. Further research around the reasoning for linkages can be explored with theory-driven grounded studies. Originality/value This study attempts to use a multi-criteria decision-making technique to present insights to managers to help them make their organizations flexible.
{"title":"Modelling the factors affecting organizational flexibility in MSMEs","authors":"Jude Jegan Joseph Jerome, Vandana Sonwaney, Arunkumar O.N.","doi":"10.1108/jgoss-06-2022-0075","DOIUrl":"https://doi.org/10.1108/jgoss-06-2022-0075","url":null,"abstract":"\u0000Purpose\u0000In the era of multiple global disruptions, firms are finding it to continue their business. MSMEs are impacted more as they have constrained resources. Organizational flexibility has emerged as an organizational and management principle that would help firms stay competitive even in volatile markets. This study aims to present a set of guidelines and insights for MSME managers to implement organizational flexibility in their organizations.\u0000\u0000\u0000Design/methodology/approach\u0000This study uses total interpretive structural modelling to study how the various factors contributing to organizational flexibility behave together. Behavioural theory is used to explain why organizations need to incorporate flexibility, and systems theory of organization is used to explain why an organization needs to have open boundaries.\u0000\u0000\u0000Findings\u0000Organizational flexibility is a principle that may be supported by the systems theory of organization. The study has shown that it is important for MSMEs to have supply chain collaborations to be more flexible. The study also shows pressure from competitors as the key driver that would make a firm more flexible, and that adequate support from management and technological skills are required to drive flexibility in an organization.\u0000\u0000\u0000Research limitations/implications\u0000Single respondent bias may have occurred in this study. This can be eliminated by interviewing multiple people from the same organization. Further research around the reasoning for linkages can be explored with theory-driven grounded studies.\u0000\u0000\u0000Originality/value\u0000This study attempts to use a multi-criteria decision-making technique to present insights to managers to help them make their organizations flexible.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43020815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-10DOI: 10.1108/jgoss-11-2022-0113
G. D. Romo, J. Sarmiento, Francis Levi Abdala Durano, I. M. A. Acopiado, T. R. Acuňa, A. M. Traje, G. D. Wahing
Purpose This paper aims to determine pathways leading to enterprise profitability during the COVID-19 pandemic in the Philippines. Design/methodology/approach The study (N = 272) was participated by 228 micro, small and medium enterprises (MSMEs) and 44 large enterprises. Configurational analysis using the fuzzy-set qualitative comparative analysis was used in modelling combinations of firm characteristics and organizational resilience attributes that could lead to enterprise profitability. Findings Using the Benchmark Resilience Tool of Resilient Organisations, the study showed that three main attributes of organizational resilience (leadership and culture, networks and relationships, and readiness to change) played significant roles in enterprise profitability. Other conditions of varying influence on profitability included costs, sales, number of employees and the number of years in operations of an enterprise. For MSMEs, profitability can be achieved if all resilience attributes are present, while for large enterprises, the absence of some resilience attributes can be compensated by other attributes such as low decline in sales, low employee reduction, and more years in operation. Research limitations/implications While the COVID-19 pandemic’s impacts have been far-reaching, the MSMEs and large enterprises are more likely to be profitable if they have used the three organizational resilience attributes. Moreover, these attributes do not only improve firm profitability and the overall enterprise performance during the present pandemic but also prepare them for future shocks. Originality/value To the best of the authors’ knowledge, modelling antecedents of enterprise profitability using configurational analysis is the first in the Philippines.
{"title":"Organizational resilience and enterprise profitability in the Philippines during the COVID-19 pandemic: an approach using the fuzzy-set qualitative comparative analysis","authors":"G. D. Romo, J. Sarmiento, Francis Levi Abdala Durano, I. M. A. Acopiado, T. R. Acuňa, A. M. Traje, G. D. Wahing","doi":"10.1108/jgoss-11-2022-0113","DOIUrl":"https://doi.org/10.1108/jgoss-11-2022-0113","url":null,"abstract":"\u0000Purpose\u0000This paper aims to determine pathways leading to enterprise profitability during the COVID-19 pandemic in the Philippines.\u0000\u0000\u0000Design/methodology/approach\u0000The study (N = 272) was participated by 228 micro, small and medium enterprises (MSMEs) and 44 large enterprises. Configurational analysis using the fuzzy-set qualitative comparative analysis was used in modelling combinations of firm characteristics and organizational resilience attributes that could lead to enterprise profitability.\u0000\u0000\u0000Findings\u0000Using the Benchmark Resilience Tool of Resilient Organisations, the study showed that three main attributes of organizational resilience (leadership and culture, networks and relationships, and readiness to change) played significant roles in enterprise profitability. Other conditions of varying influence on profitability included costs, sales, number of employees and the number of years in operations of an enterprise. For MSMEs, profitability can be achieved if all resilience attributes are present, while for large enterprises, the absence of some resilience attributes can be compensated by other attributes such as low decline in sales, low employee reduction, and more years in operation.\u0000\u0000\u0000Research limitations/implications\u0000While the COVID-19 pandemic’s impacts have been far-reaching, the MSMEs and large enterprises are more likely to be profitable if they have used the three organizational resilience attributes. Moreover, these attributes do not only improve firm profitability and the overall enterprise performance during the present pandemic but also prepare them for future shocks.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, modelling antecedents of enterprise profitability using configurational analysis is the first in the Philippines.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46294250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-07DOI: 10.1108/jgoss-08-2022-0085
Bishal Dey Sarkar, Laxmi Gupta
Purpose The conflict in Russian Ukraine is a problem for the world economy because it hinders growth and drives up inflation when it is already high. The trade route between India and Russia is also impacted by the Russia-Ukraine crisis. This study aims to compile the most recent data on how the present global economic crisis is affecting it, with particular emphasis on the Indian economy. Design/methodology/approach This research develops a mathematical forecasting model to evaluate how the Russia-Ukraine crisis would affect the Indian economy when perturbations are applied to the major transport sectors. Input-output modeling (I-O model) and interval programing (IP) are the two precise methods used in the model. The inoperability I-O model developed by Wassily Leontief examines how disruption in one sector of the economy spreads to the other. To capture data uncertainties, IP has been added to IIM. Findings This study uses the forecasted inoperability value to analyze how the sectors are interconnected. Economic loss is used to determine the lowest and highest priority sectors due to the Russia-Ukraine crisis on the Indian economy. Furthermore, this study provides a decision-support conclusion for studying the sectors under various scenarios. Research limitations/implications In future studies, other sectors could be added to study the Russian-Ukrainian crises’ effects on the Indian economy. Perturbation is only applied to transport sectors and could be applied to other sectors for studying the effects of the crisis. The availability of incomplete data is a significant concern in this study. Originality/value Russia-Ukraine conflict is a significant blow to the global economy and affects the global transportation network. This study discusses the application of the IIM-IP model to the Russia-Ukraine conflict. It also forecasts the values to examine how the crisis affected the Indian economy. This study uses a variety of scenarios to create a decision-support conclusion table that aids decision-makers in analyzing the Indian economy’s lowest and most affected sectors as a result of the crisis.
{"title":"Analyzing the impact of Russia-Ukraine crisis on the Indian economy using input-output modeling","authors":"Bishal Dey Sarkar, Laxmi Gupta","doi":"10.1108/jgoss-08-2022-0085","DOIUrl":"https://doi.org/10.1108/jgoss-08-2022-0085","url":null,"abstract":"\u0000Purpose\u0000The conflict in Russian Ukraine is a problem for the world economy because it hinders growth and drives up inflation when it is already high. The trade route between India and Russia is also impacted by the Russia-Ukraine crisis. This study aims to compile the most recent data on how the present global economic crisis is affecting it, with particular emphasis on the Indian economy.\u0000\u0000\u0000Design/methodology/approach\u0000This research develops a mathematical forecasting model to evaluate how the Russia-Ukraine crisis would affect the Indian economy when perturbations are applied to the major transport sectors. Input-output modeling (I-O model) and interval programing (IP) are the two precise methods used in the model. The inoperability I-O model developed by Wassily Leontief examines how disruption in one sector of the economy spreads to the other. To capture data uncertainties, IP has been added to IIM.\u0000\u0000\u0000Findings\u0000This study uses the forecasted inoperability value to analyze how the sectors are interconnected. Economic loss is used to determine the lowest and highest priority sectors due to the Russia-Ukraine crisis on the Indian economy. Furthermore, this study provides a decision-support conclusion for studying the sectors under various scenarios.\u0000\u0000\u0000Research limitations/implications\u0000In future studies, other sectors could be added to study the Russian-Ukrainian crises’ effects on the Indian economy. Perturbation is only applied to transport sectors and could be applied to other sectors for studying the effects of the crisis. The availability of incomplete data is a significant concern in this study.\u0000\u0000\u0000Originality/value\u0000Russia-Ukraine conflict is a significant blow to the global economy and affects the global transportation network. This study discusses the application of the IIM-IP model to the Russia-Ukraine conflict. It also forecasts the values to examine how the crisis affected the Indian economy. This study uses a variety of scenarios to create a decision-support conclusion table that aids decision-makers in analyzing the Indian economy’s lowest and most affected sectors as a result of the crisis.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44683235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-03DOI: 10.1108/jgoss-06-2022-0057
V. Wankhede, R. Agrawal, Anil Kumar K, S. Luthra, D. Pamučar, Željko Stević
Purpose Sustainable development goals (SDGs) are gaining significant importance in the current environment. Many businesses are keen to adopt SDGs to get a competitive edge. There are certain challenges in realigning the present working scenario for sustainable development, which is a primary concern for society. Various firms are adopting sustainable engineering (SE) practices to tackle such issues. Artificial intelligence (AI) is an emerging technology that can help the ineffective adoption of sustainable practices in an uncertain environment. In this regard, there is a need to review the current research practices in the field of SE in AI. The purpose of the present study is to comprehensive review the research trend in the field of SE in AI. Design/methodology/approach This work presents a review of AI applications in SE for decision-making in an uncertain environment. SCOPUS database was considered for shortlisting the articles. Specific keywords on AI, SE and decision-making were given, and a total of 127 articles were shortlisted after implying inclusion and exclusion criteria. Findings Bibliometric study and network analyses were performed to analyse the current research trends and to see the research collaboration between researchers and countries. Emerging research themes were identified by using structural topic modelling (STM) and were discussed further. Research limitations/implications Research propositions corresponding to each research theme were presented for future research directions. Finally, the implications of the study were discussed. Originality/value This work presents a systematic review of articles in the field of AI applications in SE with the help of bibliometric study, network analyses and STM.
{"title":"Artificial intelligence an enabler for sustainable engineering decision-making in uncertain environment: a review and future propositions","authors":"V. Wankhede, R. Agrawal, Anil Kumar K, S. Luthra, D. Pamučar, Željko Stević","doi":"10.1108/jgoss-06-2022-0057","DOIUrl":"https://doi.org/10.1108/jgoss-06-2022-0057","url":null,"abstract":"\u0000Purpose\u0000Sustainable development goals (SDGs) are gaining significant importance in the current environment. Many businesses are keen to adopt SDGs to get a competitive edge. There are certain challenges in realigning the present working scenario for sustainable development, which is a primary concern for society. Various firms are adopting sustainable engineering (SE) practices to tackle such issues. Artificial intelligence (AI) is an emerging technology that can help the ineffective adoption of sustainable practices in an uncertain environment. In this regard, there is a need to review the current research practices in the field of SE in AI. The purpose of the present study is to comprehensive review the research trend in the field of SE in AI.\u0000\u0000\u0000Design/methodology/approach\u0000This work presents a review of AI applications in SE for decision-making in an uncertain environment. SCOPUS database was considered for shortlisting the articles. Specific keywords on AI, SE and decision-making were given, and a total of 127 articles were shortlisted after implying inclusion and exclusion criteria.\u0000\u0000\u0000Findings\u0000Bibliometric study and network analyses were performed to analyse the current research trends and to see the research collaboration between researchers and countries. Emerging research themes were identified by using structural topic modelling (STM) and were discussed further.\u0000\u0000\u0000Research limitations/implications\u0000Research propositions corresponding to each research theme were presented for future research directions. Finally, the implications of the study were discussed.\u0000\u0000\u0000Originality/value\u0000This work presents a systematic review of articles in the field of AI applications in SE with the help of bibliometric study, network analyses and STM.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42902260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-27DOI: 10.1108/jgoss-12-2022-0119
Changjoon Lee, Y. Ha
Purpose This study aims to empirically analyze how the quality of alternatives influences the commitment level in the relationships between companies in supply chains. It also studies how this ultimately influences the associated satisfaction level and logistics performance. Design/methodology/approach For this purpose, the authors adopted an extended investment model based on interdependence theory. The authors explored the relationships between logistics outsourcing partners based on the components of the investment model. To examine the correlations between variables, the authors surveyed workers in domestic supply chain–related departments and used a total of 300 valid questionnaires for statistical analysis. The hypotheses were verified through structural equation modeling using SPSS 18.0 and AMOS 18.0. Findings The quality of alternatives had a positive influence on the commitment level. Additionally, the commitment level had a positive influence on the satisfaction level but did not have a significant influence on logistics performance. Finally, the satisfaction level exhibited a proportional relationship with logistics performance. Research limitations/implications First, this study examined the effects of the relationships between supply chain parties and psychological factors on logistics outsourcing. Second, this study applied the investment model to a logistics outsourcing-related topic. Finally, under the COVID-19 and the trade war, this study is significant as it shows that the existing commonly accepted hypotheses can be overturned. Originality/value This study differs from other studies in that it applied the investment model to a logistics outsourcing-related topic.
{"title":"Influence of the relationship between logistics outsourcing partners on logistics performance: focusing on logistics management in crisis situations","authors":"Changjoon Lee, Y. Ha","doi":"10.1108/jgoss-12-2022-0119","DOIUrl":"https://doi.org/10.1108/jgoss-12-2022-0119","url":null,"abstract":"\u0000Purpose\u0000This study aims to empirically analyze how the quality of alternatives influences the commitment level in the relationships between companies in supply chains. It also studies how this ultimately influences the associated satisfaction level and logistics performance.\u0000\u0000\u0000Design/methodology/approach\u0000For this purpose, the authors adopted an extended investment model based on interdependence theory. The authors explored the relationships between logistics outsourcing partners based on the components of the investment model. To examine the correlations between variables, the authors surveyed workers in domestic supply chain–related departments and used a total of 300 valid questionnaires for statistical analysis. The hypotheses were verified through structural equation modeling using SPSS 18.0 and AMOS 18.0.\u0000\u0000\u0000Findings\u0000The quality of alternatives had a positive influence on the commitment level. Additionally, the commitment level had a positive influence on the satisfaction level but did not have a significant influence on logistics performance. Finally, the satisfaction level exhibited a proportional relationship with logistics performance.\u0000\u0000\u0000Research limitations/implications\u0000First, this study examined the effects of the relationships between supply chain parties and psychological factors on logistics outsourcing. Second, this study applied the investment model to a logistics outsourcing-related topic. Finally, under the COVID-19 and the trade war, this study is significant as it shows that the existing commonly accepted hypotheses can be overturned.\u0000\u0000\u0000Originality/value\u0000This study differs from other studies in that it applied the investment model to a logistics outsourcing-related topic.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47022245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-26DOI: 10.1108/jgoss-07-2022-0083
J. Tessaro, R. Harms, Holger Schiele
Purpose This study aims to analyze how startups organize their purchasing activities to improve operative excellence and become attractive customers. Design/methodology/approach The authors use a two-phase exploratory approach with semistructured interviews and a World Café. In total, 20 startup purchasers and suppliers participated. It is an international study with participants from eight countries (Belgium, Brazil, France, Germany, Hungary, The Netherlands, the UK and the USA). Findings The authors find that startups organize the purchasing function in five ways: partial outsourcing, transactional-oriented, strategic only, outsourced purchasing and full department. Each type has advantages and disadvantages regarding operative excellence. The authors identify type-specific antecedents to operative excellence: forecasting, payment habits, ordering process, contact accessibility and quick decision-making. Research limitations/implications The value of this paper is that it offers entrepreneurs a framework to organize startup purchasing activities, including outsourcing options. Furthermore, it provides theoretical contributions that expand the topic of purchasing and supply organization and operative excellence to the startup context. Originality/value The value of this paper is that, to the best of the authors’ knowledge, it is the first to explore purchasing organization and operative excellence in startups.
{"title":"Improving startup’s attractiveness as industrial customers by organizing theirpurchasing activities","authors":"J. Tessaro, R. Harms, Holger Schiele","doi":"10.1108/jgoss-07-2022-0083","DOIUrl":"https://doi.org/10.1108/jgoss-07-2022-0083","url":null,"abstract":"\u0000Purpose\u0000This study aims to analyze how startups organize their purchasing activities to improve operative excellence and become attractive customers.\u0000\u0000\u0000Design/methodology/approach\u0000The authors use a two-phase exploratory approach with semistructured interviews and a World Café. In total, 20 startup purchasers and suppliers participated. It is an international study with participants from eight countries (Belgium, Brazil, France, Germany, Hungary, The Netherlands, the UK and the USA).\u0000\u0000\u0000Findings\u0000The authors find that startups organize the purchasing function in five ways: partial outsourcing, transactional-oriented, strategic only, outsourced purchasing and full department. Each type has advantages and disadvantages regarding operative excellence. The authors identify type-specific antecedents to operative excellence: forecasting, payment habits, ordering process, contact accessibility and quick decision-making.\u0000\u0000\u0000Research limitations/implications\u0000The value of this paper is that it offers entrepreneurs a framework to organize startup purchasing activities, including outsourcing options. Furthermore, it provides theoretical contributions that expand the topic of purchasing and supply organization and operative excellence to the startup context.\u0000\u0000\u0000Originality/value\u0000The value of this paper is that, to the best of the authors’ knowledge, it is the first to explore purchasing organization and operative excellence in startups.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42678900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-30DOI: 10.1108/jgoss-12-2021-0101
Honest F. Kimario, A. Kira
Purpose The purpose of this study was to establish the cause-effect relationship between determinants of trust in the buyer–supplier integration and the procurement performance of large manufacturing firms in Tanzania. Design/methodology/approach The study surveyed 52 firms from Temeke Municipality, Tanzania using questionnaire subjected to one procurement manager and one stores manager tallying a sample size of 104 respondents. Explanatory design was employed due to the presence of cause–effect relationship and the null hypotheses were tested using binary logistic regression technique at p values < 0.05 and ExpB > 1. Findings Mutual goals, geographical vicinity among partners, and supplier reliability are significant for the procurement performance of the manufacturing firms in Tanzania, whereas interpersonal and inter-organizational trusts and perceived buyers’ confidence are of no significant impact. Research limitations/implications Buyer–supplier integration is a recently embraced and paramount practice for the manufacturing firms in Tanzania. Therefore, longitudinal study would further add value. The presence of the causality from the tested hypothesis appeals for the necessity of progress tracking. Practical implications Causality has been established, and a framework has been developed for the performance of large manufacturing firms using trust of buyer–supplier integration. Social implications There shall be creation of more employment opportunities and timely availability of materials from large manufacturing firms in Tanzania. Originality/value Anchored on transaction cost economics and resource dependency theories, the study disclosed the root cause of procurement performance in the context of manufacturing firms in Tanzania whilst considering trust as a resource advantage of buyer–supplier integration.
{"title":"Cause – effect relationship of trust of buyer – suppliers' integration on procurement performance in large manufacturing firms in Tanzania","authors":"Honest F. Kimario, A. Kira","doi":"10.1108/jgoss-12-2021-0101","DOIUrl":"https://doi.org/10.1108/jgoss-12-2021-0101","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study was to establish the cause-effect relationship between determinants of trust in the buyer–supplier integration and the procurement performance of large manufacturing firms in Tanzania.\u0000\u0000\u0000Design/methodology/approach\u0000The study surveyed 52 firms from Temeke Municipality, Tanzania using questionnaire subjected to one procurement manager and one stores manager tallying a sample size of 104 respondents. Explanatory design was employed due to the presence of cause–effect relationship and the null hypotheses were tested using binary logistic regression technique at p values < 0.05 and ExpB > 1.\u0000\u0000\u0000Findings\u0000Mutual goals, geographical vicinity among partners, and supplier reliability are significant for the procurement performance of the manufacturing firms in Tanzania, whereas interpersonal and inter-organizational trusts and perceived buyers’ confidence are of no significant impact.\u0000\u0000\u0000Research limitations/implications\u0000Buyer–supplier integration is a recently embraced and paramount practice for the manufacturing firms in Tanzania. Therefore, longitudinal study would further add value. The presence of the causality from the tested hypothesis appeals for the necessity of progress tracking.\u0000\u0000\u0000Practical implications\u0000Causality has been established, and a framework has been developed for the performance of large manufacturing firms using trust of buyer–supplier integration.\u0000\u0000\u0000Social implications\u0000There shall be creation of more employment opportunities and timely availability of materials from large manufacturing firms in Tanzania.\u0000\u0000\u0000Originality/value\u0000Anchored on transaction cost economics and resource dependency theories, the study disclosed the root cause of procurement performance in the context of manufacturing firms in Tanzania whilst considering trust as a resource advantage of buyer–supplier integration.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45899793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-16DOI: 10.1108/jgoss-12-2021-0106
Haidar Abbas, Paikar Fatima, Abdul-Aziz Mustahil Ahmed Ali Akaak, G. Frederico, Prof Vikas Kumar
Purpose This research aims to ascertain the various operational maturity challenges faced by the online food ordering and delivery enterprises (OFODE), their nature and their interactive relationships. In particular, this paper aims to (a) identify the most relevant operational maturity challenges faced by the OFODE during the COVID-19 lockdown in Oman, (b) explore and establish any likely structural relationship among these challenges and (c) put them into logical clusters. Design/methodology/approach Experts helped to reduce the 18 initially identified maturity challenges to 13 most pressing ones. Mutual relationships, dominance of interactions and their classifications were explored using fuzzy interpretive structural modeling (FISM) and fuzzy MICMAC analysis. Findings The study of situation-specific operational maturity challenges convinced the authors to propose a distinct FISM model that depicts the relationship among these challenges. Keeping commissions and fees reasonable emerges as the challenge which all other challenges seemingly culminate into. One of the most important situation-specific challenges (i.e. customer confidence about infection free delivery) emerges as a linkage challenge which aggravates as well as is aggravated by certain challenges. Research limitations/implications Besides enriching literature, the proposed model has implications for practitioners particularly when the similar lethal waves are experienced anywhere. The number of respondents, subjective approach, specific context as well as the geographical area coverage are the key limitations. Originality/value To the best of the authors’ knowledge, this study is the first known scientific effort which attempts to model the operational maturity challenges faced by the OFODE during COVID-19 lockdown period. The authors used the FISM modeling approach to forge these interrelated challenges into a structural model.
{"title":"Modelling the operational maturity challenges faced by online food ordering and delivery enterprises during Covid-19 lockdown in Oman: a fuzzy interpretive structural modelling approach","authors":"Haidar Abbas, Paikar Fatima, Abdul-Aziz Mustahil Ahmed Ali Akaak, G. Frederico, Prof Vikas Kumar","doi":"10.1108/jgoss-12-2021-0106","DOIUrl":"https://doi.org/10.1108/jgoss-12-2021-0106","url":null,"abstract":"\u0000Purpose\u0000This research aims to ascertain the various operational maturity challenges faced by the online food ordering and delivery enterprises (OFODE), their nature and their interactive relationships. In particular, this paper aims to (a) identify the most relevant operational maturity challenges faced by the OFODE during the COVID-19 lockdown in Oman, (b) explore and establish any likely structural relationship among these challenges and (c) put them into logical clusters.\u0000\u0000\u0000Design/methodology/approach\u0000Experts helped to reduce the 18 initially identified maturity challenges to 13 most pressing ones. Mutual relationships, dominance of interactions and their classifications were explored using fuzzy interpretive structural modeling (FISM) and fuzzy MICMAC analysis.\u0000\u0000\u0000Findings\u0000The study of situation-specific operational maturity challenges convinced the authors to propose a distinct FISM model that depicts the relationship among these challenges. Keeping commissions and fees reasonable emerges as the challenge which all other challenges seemingly culminate into. One of the most important situation-specific challenges (i.e. customer confidence about infection free delivery) emerges as a linkage challenge which aggravates as well as is aggravated by certain challenges.\u0000\u0000\u0000Research limitations/implications\u0000Besides enriching literature, the proposed model has implications for practitioners particularly when the similar lethal waves are experienced anywhere. The number of respondents, subjective approach, specific context as well as the geographical area coverage are the key limitations.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this study is the first known scientific effort which attempts to model the operational maturity challenges faced by the OFODE during COVID-19 lockdown period. The authors used the FISM modeling approach to forge these interrelated challenges into a structural model.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46978252","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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