Waste management strategies employed by emerging economies worldwide are often insufficient to address the new-age sustainability challenges.Especially in chemicalintensive manufacturing industries,increasing levels o...Waste management strategies employed by emerging economies worldwide are often insufficient to address the new-age sustainability challenges.Especially in chemicalintensive manufacturing industries,increasing levels of waste production are a significant environmental threat.Adopting a circular supply chain(CSC)can be a viable solution to this problem since it incorporates the components of the circular economy into an organization's supply chain,bringing an engaging viewpoint to the supply chain sustainability field.Nevertheless,the adoption of CSC in chemical-intensive manufacturing industries faces various intricate challenges in emerging economies.This study,therefore,aims to explore and evaluate the challenges associated with adopting CSC in the chemical-intensive manufacturing industries,using the empirical case of an emerging economy,Bangladesh.After a thorough literature review and expert validation,26 challenges were analyzed using a probabilistic group decision-making approach,i.e.,the Bayesian best-worst method(BWM).The result showed that the most significant challenge is the chemical composition-related complexity(global weight=0.0801),followed by strong emphasis on the take-make-dispose policy(0.0705),and insufficient investment and financial resources(0.0697).On the contrary,the least important challenge is the resistance toward the transition from conventional supply chain to CSC(0.0078).The outcomes of this study are expected to enrich existing knowledge and comprehension of the challenges linked to implementing CSC practices in Bangladesh and contribute to achieving Sustainable Development Goals(SDGs),such as SDG 3(good health and wellbeing),SDG 11(sustainable cities and communities),SDG 12(responsible consumption and production),SDG 13(climate action),and so on.展开更多
ldentifying risks and prioritizing is important for payment service provider(PSP)companies to get banking projects and gain more market share.However,studies regarding the identification of risks and causal relationsh...ldentifying risks and prioritizing is important for payment service provider(PSP)companies to get banking projects and gain more market share.However,studies regarding the identification of risks and causal relationships are insufficient in the lranian PSP industry and the industry is unique because of its characteristics.In this study,30 experts involved with PSP companies are employed as the research sample.Eleven key risks and 46 sub-risks are also ientified.Subsequently,the fuzzy decision-making trial and evaluation laboratory technique is applied to determine the effective and affected risks and the severity of their effects on each other.Finally,all risks are ranked.Due to the interal interrelationships of the main risks,the weight of each risk is calculated via the fuzy analytic network process.As the second-level risks have no significant interrelationships,they are ranked via the fuzzy analytical hierarchy process.Moreover,the best-worst method is used to ensure that the obtained rankings are reliable.This study identifies the risks affecting the loss of banking projects and determines the impacts of these risks on each.A sensitivity analysis is then conducted on the weights of the criteria,and the results are compared.展开更多
文摘Waste management strategies employed by emerging economies worldwide are often insufficient to address the new-age sustainability challenges.Especially in chemicalintensive manufacturing industries,increasing levels of waste production are a significant environmental threat.Adopting a circular supply chain(CSC)can be a viable solution to this problem since it incorporates the components of the circular economy into an organization's supply chain,bringing an engaging viewpoint to the supply chain sustainability field.Nevertheless,the adoption of CSC in chemical-intensive manufacturing industries faces various intricate challenges in emerging economies.This study,therefore,aims to explore and evaluate the challenges associated with adopting CSC in the chemical-intensive manufacturing industries,using the empirical case of an emerging economy,Bangladesh.After a thorough literature review and expert validation,26 challenges were analyzed using a probabilistic group decision-making approach,i.e.,the Bayesian best-worst method(BWM).The result showed that the most significant challenge is the chemical composition-related complexity(global weight=0.0801),followed by strong emphasis on the take-make-dispose policy(0.0705),and insufficient investment and financial resources(0.0697).On the contrary,the least important challenge is the resistance toward the transition from conventional supply chain to CSC(0.0078).The outcomes of this study are expected to enrich existing knowledge and comprehension of the challenges linked to implementing CSC practices in Bangladesh and contribute to achieving Sustainable Development Goals(SDGs),such as SDG 3(good health and wellbeing),SDG 11(sustainable cities and communities),SDG 12(responsible consumption and production),SDG 13(climate action),and so on.
文摘ldentifying risks and prioritizing is important for payment service provider(PSP)companies to get banking projects and gain more market share.However,studies regarding the identification of risks and causal relationships are insufficient in the lranian PSP industry and the industry is unique because of its characteristics.In this study,30 experts involved with PSP companies are employed as the research sample.Eleven key risks and 46 sub-risks are also ientified.Subsequently,the fuzzy decision-making trial and evaluation laboratory technique is applied to determine the effective and affected risks and the severity of their effects on each other.Finally,all risks are ranked.Due to the interal interrelationships of the main risks,the weight of each risk is calculated via the fuzy analytic network process.As the second-level risks have no significant interrelationships,they are ranked via the fuzzy analytical hierarchy process.Moreover,the best-worst method is used to ensure that the obtained rankings are reliable.This study identifies the risks affecting the loss of banking projects and determines the impacts of these risks on each.A sensitivity analysis is then conducted on the weights of the criteria,and the results are compared.
