Blockchain technology-driven supply chain financing for Ghana's SMEs: An evaluation of the dilemmas to adoption using a picture fuzzy preference selection index technique

被引:2
作者
Asante Boakye, Elijah [1 ,2 ]
Zhao, Hongjiang [1 ,2 ]
Adu-Damoah, Millicent [1 ,2 ]
机构
[1] Univ Elect Sci & Technol China, Sch Management & Econ, Chengdu 610054, Peoples R China
[2] Univ Elect Sci & Technol China, Ctr West African Studies, Chengdu 610054, Peoples R China
关键词
BcTSCF (blockchain technology-driven supply chain financing); Ghana; preference selection index technique; SMEs; TOE framework; INNOVATION; DETERMINANTS; CHALLENGES;
D O I
10.1080/20421338.2024.2374978
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Small and medium-sized enterprises (SMEs) have been urged to embrace blockchain technology-driven supply chain financing (BcTSCF) by the Ghana Enterprises Agency (GEA) and the Association of Ghana Industries (AGI); however, a substantial number have not responded favourably. With the utilization of purposive non-probability sampling approach, data was collected using questionnaires from 39 respondents (owners/managers of SMEs with BcTSCF experience as well as academics with BcTSCF expertise). Adopting the Technology-Organization-Environment framework, a list of drawbacks has been prioritized using a novel multi-criteria decision-making method called the Picture Fuzzy Preference Selection Index. This method involved the computation of total preference values, creation of picture fuzzy decision matrix, ranking and the selection of the drawback with the highest value, thus the prioritization of a set of determinants serving as drawbacks to adopting BcTSCF. The top five drawbacks to BcTSCF adoption are the availability of blockchain infrastructure, inadequate regulatory framework, lack of technical expertise, compatibility concerns, and insufficient government support. This study provides valuable input to industry practitioners, which might help the government and other stakeholders make corresponding policy arrangements. The original contribution of this study is the utilization of a novel picture fuzzy preference selection and the TOE framework to prioritize BcTSCF drawbacks.
引用
收藏
页码:674 / 688
页数:15
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