The ISM Method to Analyze the Relationship between Blockchain Adoption Criteria in University: An Indonesian Case

【Author】 Yu, Vincent F.; Bahauddin, Achmad; Ferdinant, Putro F.; Fatmawati, Agustina; Lin, Shih-Wei

【Source】MATHEMATICS

【影响因子】2.592

【Abstract】Referring to the widespread problem of diploma forgery in Indonesian educational institutions as the impetus for UNTIRTA's latest vision as an "Integrated, Smart, and Green University," UNTIRTA intends to use blockchain technology to prevent diploma forgery and overcome issues related to existing platforms at UNTIRTA, such as frequent connection interruptions when accessed by a large number of users simultaneously. Before using blockchain technology, UNTIRTA must evaluate several readiness issues. This study presented the interpretative structural modeling (ISM) method to assess the primary preparedness elements for adopting blockchain technology in universities and sought to provide pertinent strategy ideas for UNTIRTA's blockchain technology application. The results reveal sixteen major parameters that influence the adoption readiness of blockchain technology at UNTIRTA. The primary variables impacting the adoption and deployment of blockchain technology at UNTIRTA are management and employee support and a grasp of the technology. To realize UNTIRTA's mission as an "Integrated, Smart, and Green University", the proposed method entails determining an initial agreement in which all stakeholders have a shared understanding and commitment to Blockchain technology implementation at UNTIRTA. The objective of the tactical proposal is to establish each unit's mission in the blockchain implementation program. The objective of the technical proposal is to construct a planning document that will serve as a coordination tool between the chairman and members, as well as all parties interested in the adoption of Blockchain technology at UNTIRTA.

【Keywords】technology adoption; blockchain; smart university; ISM method

【发表时间】2023 JAN

【收录时间】2023-02-04

【文献类型】观点阐述

【主题类别】

区块链应用-实体经济-教育领域