Pub Date : 2023-08-09DOI: 10.1108/jgoss-08-2022-0090
Sanmugam Annamalah, Pradeep Paraman, Selim Ahmed, T. Pertheban, Anbalagan Marimuthu, Kumara Rajah Venkatachalam, Ramayah T.
Purpose This study aims to analyse the resilience strategy utilized by small and medium-sized enterprises (SMEs), enabling these businesses to effectively adapt their operations in response to varying conditions by providing them with essential resources. SMEs operate in marketplaces that are both dynamic and frequently tumultuous. These markets provide SMEs with a variety of obstacles, including economic ups and downs, advances in technology, evolving customer tastes and new regulatory requirements. SMEs need to create a strategic strategy to survive and grow in such situations. This strategy ought to help strengthen their resiliency and make it possible for them to make the most of emerging opportunities while simultaneously lowering the dangers. Design/methodology/approach The questionnaires adopted and adapted from previous research served as the basis for gathering the data. The manufacturing industry was polled through the use of questionnaires. To test the hypothesis, the data were analysed using Smart PLS. Through the use of closed-ended questions directed to the proprietors, managers or senior executives of SMEs, data were collected from each and every institution in the sample. Following the examination of the data by means of descriptive analysis and the presentation of several scenarios using information relating to SMEs, the findings were presented. Findings The ambidextrous strategies that are used by SMEs have a propensity to offer a constructive contribution to SMEs. In this study, it was discovered that ambidexterity, which is defined as the capacity to both seek and capitalise on possibilities, has a significant bearing on the organisational effectiveness of SMEs. The results showed that ambidextrous strategies have a propensity to work as mediators in interactions involving proactive resilience tactics and performance. Research limitations/implications The research expands our understanding of how SMEs in the manufacturing sector may improve their performance by concentrating on growing their ambidextrous strategies. Practical implications This study provides a plausible explanation of two crucial management mechanisms for enhancing the sustainability of organisational effectiveness. The relationships between ambidextrous capabilities and firm effectiveness are malleable, and this study suggests that nurturing formal and informal relationships may be the key to SMEs' long-term sustainable performance. Improving the knowledge and performance of supply chain systems for SMEs in the manufacturing sector and boosting their competitiveness in domestic and international markets are the practical contributions of this study. Social implications Our comprehension of monitoring, cooperation and innovation within social management was deepened as a result of these facts. In addition, the study conducted in the sector uncovered four essential connections that outline how managers should actively work towards lowering social ris
{"title":"Exploitation, exploration and ambidextrous strategies of SMES in accelerating organisational effectiveness","authors":"Sanmugam Annamalah, Pradeep Paraman, Selim Ahmed, T. Pertheban, Anbalagan Marimuthu, Kumara Rajah Venkatachalam, Ramayah T.","doi":"10.1108/jgoss-08-2022-0090","DOIUrl":"https://doi.org/10.1108/jgoss-08-2022-0090","url":null,"abstract":"\u0000Purpose\u0000This study aims to analyse the resilience strategy utilized by small and medium-sized enterprises (SMEs), enabling these businesses to effectively adapt their operations in response to varying conditions by providing them with essential resources. SMEs operate in marketplaces that are both dynamic and frequently tumultuous. These markets provide SMEs with a variety of obstacles, including economic ups and downs, advances in technology, evolving customer tastes and new regulatory requirements. SMEs need to create a strategic strategy to survive and grow in such situations. This strategy ought to help strengthen their resiliency and make it possible for them to make the most of emerging opportunities while simultaneously lowering the dangers.\u0000\u0000\u0000Design/methodology/approach\u0000The questionnaires adopted and adapted from previous research served as the basis for gathering the data. The manufacturing industry was polled through the use of questionnaires. To test the hypothesis, the data were analysed using Smart PLS. Through the use of closed-ended questions directed to the proprietors, managers or senior executives of SMEs, data were collected from each and every institution in the sample. Following the examination of the data by means of descriptive analysis and the presentation of several scenarios using information relating to SMEs, the findings were presented.\u0000\u0000\u0000Findings\u0000The ambidextrous strategies that are used by SMEs have a propensity to offer a constructive contribution to SMEs. In this study, it was discovered that ambidexterity, which is defined as the capacity to both seek and capitalise on possibilities, has a significant bearing on the organisational effectiveness of SMEs. The results showed that ambidextrous strategies have a propensity to work as mediators in interactions involving proactive resilience tactics and performance.\u0000\u0000\u0000Research limitations/implications\u0000The research expands our understanding of how SMEs in the manufacturing sector may improve their performance by concentrating on growing their ambidextrous strategies.\u0000\u0000\u0000Practical implications\u0000This study provides a plausible explanation of two crucial management mechanisms for enhancing the sustainability of organisational effectiveness. The relationships between ambidextrous capabilities and firm effectiveness are malleable, and this study suggests that nurturing formal and informal relationships may be the key to SMEs' long-term sustainable performance. Improving the knowledge and performance of supply chain systems for SMEs in the manufacturing sector and boosting their competitiveness in domestic and international markets are the practical contributions of this study.\u0000\u0000\u0000Social implications\u0000Our comprehension of monitoring, cooperation and innovation within social management was deepened as a result of these facts. In addition, the study conducted in the sector uncovered four essential connections that outline how managers should actively work towards lowering social ris","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43590613","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 : 2023-08-08DOI: 10.1108/jgoss-04-2023-0027
Bharti Ramtiyal, Shubham Johari, Lokesh Vijayvargy, S. Prakash
Purpose The purpose of this study is to examine the impact of the shift towards a circular economy and marketing strategies on the collaborative purchasing behaviour of consumers in India. The study uses the theory of planned behaviour (TPB) and the marketing mix to understand the factors affecting a consumer’s intention to participate in collaborative consumption (CC). Design/methodology/approach A Web-based survey was conducted, and 349 valid responses were analysed using AMOS (Analysis of Moment Structures) structural equation modelling. The study emphasised the impact of price, promotion and perceived behaviour control on CC and provided direction and advice for companies that rent and swap apparel. Findings According to the study, promotion and perceived behaviour control are the two key characteristics that significantly impact a consumer’s willingness to participate in CC in India. The study also found that perceived behaviour control plays a significant direct role in behavioural usage. These findings emphasise the impact of price, promotion and perceived behaviour control on CC and offer direction and advice for companies that rent and swap apparel. Research limitations/implications This article can be used to evaluate the business in different countries and can be developed further. It does, however, have some restrictions. Because most respondents are from northern and central India, in addition, some respondents are from the southwestern and southern regions, especially in the Mumbai and Chennai locales. Hence, the geographical sample was not diverse in terms of demographics. Furthermore, the gender identity of the respondents might essentially affect how the authors interpret customer buying behaviour, but the study missed this. Researchers could enhance this by using various sampling techniques and ensuring that other demographic characteristics are considered in the future. Furthermore, the survey could not distinguish between online and in-person transactions. Practical implications The study provides practical advice for companies that rent and swap apparel, emphasising the impact of price, promotion and perceived behaviour control on consumer willingness to participate in CC. The findings suggest that companies can improve consumer participation by focusing on promotion and perceived behaviour control. In addition, the significance of perceived behaviour control on behavioural usage highlights the importance of empowering consumers to control their decisions to participate in CC. Originality/value To the best of the authors’ knowledge, this study is one of the first to examine the factors influencing consumer willingness to participate in CC in the context of the shift towards a circular economy in India. By examining the impact of the TPB and the marketing mix on consumer intention, the study provides valuable insights for companies that rent and swap apparel. The findings highlight the importance of promotion and pe
本研究的目的是研究向循环经济和营销策略的转变对印度消费者协作购买行为的影响。本研究使用计划行为理论(TPB)和营销组合来了解影响消费者参与协作消费(CC)意愿的因素。设计/方法/方法进行了一项基于网络的调查,并使用AMOS (Analysis of Moment Structures)结构方程模型分析了349份有效回复。该研究强调了价格、促销和感知行为控制对CC的影响,并为服装租赁和交换公司提供了方向和建议。根据这项研究,促销和感知行为控制是影响印度消费者参与CC意愿的两个关键特征。研究还发现,感知行为控制在行为使用中起着重要的直接作用。这些发现强调了价格、促销和感知行为控制对CC的影响,并为服装租赁和交换的公司提供了方向和建议。研究的局限性/启示本文可以用于评估不同国家的业务,并可以进一步发展。然而,它确实有一些限制。由于大多数受访者来自印度北部和中部,此外,一些受访者来自西南部和南部地区,特别是孟买和金奈地区。因此,地理样本在人口统计学方面没有多样性。此外,受访者的性别认同可能会从本质上影响作者如何解释客户的购买行为,但研究忽略了这一点。研究人员可以通过使用各种抽样技术并确保在未来考虑其他人口统计学特征来增强这一点。此外,该调查无法区分网上交易和面对面交易。本研究强调了价格、促销和感知行为控制对消费者参与CC意愿的影响,为服装租赁和交换的公司提供了实用的建议。研究结果表明,公司可以通过关注促销和感知行为控制来提高消费者的参与度。此外,感知行为控制对行为使用的重要性突出了赋予消费者控制其参与CC决策的重要性。原创性/价值据作者所知,本研究是在印度向循环经济转变的背景下,首次研究影响消费者参与CC意愿的因素之一。通过考察TPB和营销组合对消费者意向的影响,该研究为服装租赁和交换公司提供了有价值的见解。研究结果强调了促销和感知行为控制在塑造消费者行为方面的重要性,并为公司有效地推广和营销其产品提供了实际指导。这项研究增加了对循环经济的现有知识,以及CC在减少浪费和促进可持续发展方面的作用。
{"title":"The impact of marketing mix on the adoption of clothes rental and swapping in collaborative consumption","authors":"Bharti Ramtiyal, Shubham Johari, Lokesh Vijayvargy, S. Prakash","doi":"10.1108/jgoss-04-2023-0027","DOIUrl":"https://doi.org/10.1108/jgoss-04-2023-0027","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to examine the impact of the shift towards a circular economy and marketing strategies on the collaborative purchasing behaviour of consumers in India. The study uses the theory of planned behaviour (TPB) and the marketing mix to understand the factors affecting a consumer’s intention to participate in collaborative consumption (CC).\u0000\u0000\u0000Design/methodology/approach\u0000A Web-based survey was conducted, and 349 valid responses were analysed using AMOS (Analysis of Moment Structures) structural equation modelling. The study emphasised the impact of price, promotion and perceived behaviour control on CC and provided direction and advice for companies that rent and swap apparel.\u0000\u0000\u0000Findings\u0000According to the study, promotion and perceived behaviour control are the two key characteristics that significantly impact a consumer’s willingness to participate in CC in India. The study also found that perceived behaviour control plays a significant direct role in behavioural usage. These findings emphasise the impact of price, promotion and perceived behaviour control on CC and offer direction and advice for companies that rent and swap apparel.\u0000\u0000\u0000Research limitations/implications\u0000This article can be used to evaluate the business in different countries and can be developed further. It does, however, have some restrictions. Because most respondents are from northern and central India, in addition, some respondents are from the southwestern and southern regions, especially in the Mumbai and Chennai locales. Hence, the geographical sample was not diverse in terms of demographics. Furthermore, the gender identity of the respondents might essentially affect how the authors interpret customer buying behaviour, but the study missed this. Researchers could enhance this by using various sampling techniques and ensuring that other demographic characteristics are considered in the future. Furthermore, the survey could not distinguish between online and in-person transactions.\u0000\u0000\u0000Practical implications\u0000The study provides practical advice for companies that rent and swap apparel, emphasising the impact of price, promotion and perceived behaviour control on consumer willingness to participate in CC. The findings suggest that companies can improve consumer participation by focusing on promotion and perceived behaviour control. In addition, the significance of perceived behaviour control on behavioural usage highlights the importance of empowering consumers to control their decisions to participate in CC.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this study is one of the first to examine the factors influencing consumer willingness to participate in CC in the context of the shift towards a circular economy in India. By examining the impact of the TPB and the marketing mix on consumer intention, the study provides valuable insights for companies that rent and swap apparel. The findings highlight the importance of promotion and pe","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46090675","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 : 2023-08-08DOI: 10.1108/jgoss-04-2023-0029
D. K. Tripathi, S. Chadha, Ankita Tripathi
Purpose Working capital efficiency (WCE) is crucial for the sustainability of both large and small firms. This study aims to use the sample of micro, small and medium-sized enterprises (MSMEs) in India and tries to understand the critical determinants of WCE. Design/methodology/approach Using a fixed effect panel data model on a sample of 578 MSMEs (59 micro, 226 medium and 296 small firms), this study explores the relationship between the predictors of WCE. Additionally, the study adopted two metrics for measuring WCE among each type of firm (micro, small and medium). Findings Several firm-specific variables, including leverage (lever), firm age (AGE), firm size (Fsiz), profitability (Prof), extended payment terms (EPT), human capital (HCap), asset turnover ratio (ATR), reverse factoring (RF) and firm growth (FG), have a significant effect on working capital management efficiency (WCE). In contrast, tangibility (Tangib) and salary expenses (Sal) had an insignificant effect on working capital management efficiency. Research limitations/implications The study is based on secondary data. Future studies may incorporate some primary data, which will facilitate qualitative analysis. Originality/value The studies explore the relationship between WCE and expenses in HCap, EPT, RF and Sal as the predictors for WCE, which was not studied earlier in MSMEs scenario, especially in case of developing nation.
{"title":"Uncovering the hidden roots: the tapestry of working capital efficiency in Indian MSMEs","authors":"D. K. Tripathi, S. Chadha, Ankita Tripathi","doi":"10.1108/jgoss-04-2023-0029","DOIUrl":"https://doi.org/10.1108/jgoss-04-2023-0029","url":null,"abstract":"\u0000Purpose\u0000Working capital efficiency (WCE) is crucial for the sustainability of both large and small firms. This study aims to use the sample of micro, small and medium-sized enterprises (MSMEs) in India and tries to understand the critical determinants of WCE.\u0000\u0000\u0000Design/methodology/approach\u0000Using a fixed effect panel data model on a sample of 578 MSMEs (59 micro, 226 medium and 296 small firms), this study explores the relationship between the predictors of WCE. Additionally, the study adopted two metrics for measuring WCE among each type of firm (micro, small and medium).\u0000\u0000\u0000Findings\u0000Several firm-specific variables, including leverage (lever), firm age (AGE), firm size (Fsiz), profitability (Prof), extended payment terms (EPT), human capital (HCap), asset turnover ratio (ATR), reverse factoring (RF) and firm growth (FG), have a significant effect on working capital management efficiency (WCE). In contrast, tangibility (Tangib) and salary expenses (Sal) had an insignificant effect on working capital management efficiency.\u0000\u0000\u0000Research limitations/implications\u0000The study is based on secondary data. Future studies may incorporate some primary data, which will facilitate qualitative analysis.\u0000\u0000\u0000Originality/value\u0000The studies explore the relationship between WCE and expenses in HCap, EPT, RF and Sal as the predictors for WCE, which was not studied earlier in MSMEs scenario, especially in case of developing nation.\u0000","PeriodicalId":43346,"journal":{"name":"Journal of Global Operations and Strategic Sourcing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45607355","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 : 2023-07-20DOI: 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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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}