Modeling Business-to-Business Sharing Drivers Using a Hierarchical Framework Under Uncertainties

Rahul Kumar, Ka Yin Chau, Yeneneh Tamirat Negash, Yuk Ming Tang

Research output: Journal article publicationJournal articleAcademic researchpeer-review


This study contributes to assessing sharing economy concepts such as sustainability, organizational efficiency, and stakeholder engagement, and develops business-to-business sharing drivers in a hierarchical structure. Job shop production systems are challenged by demand fluctuation and low production capacity. This study adopted the fuzzy Delphi method to arrive at a valid set of attributes and a fuzzy decision-making trial and evaluation laboratory to address the proposed attributes’ relationships. The results show that stakeholder engagement and technological performance are important causal aspects, and economic benefits act as a mediating aspect that drives the perceived organizational utility in JPS. The top causal criteria were identified as outsourced labor services, information sharing, digital platforms, workplace vitality, new technologies, and cost efficiency. These criteria provide a practical solution for managers with which to improve B2B sharing practices in JPS.
Original languageEnglish
Article number15
Number of pages25
JournalJournal of Global Information Management
Issue number1
Publication statusPublished - Aug 2022


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