Modeling and Scenario Analysis of Internet of Things Acceptance Factors in the Supply Chain of Iranian Businesses

Abstract

Purpose: The purpose of this research was to identify, modeling and scenario analysis of the acceptance factors of the Internet of Things in the supply chain of Iranian businesses. Methodology: To conduct this research, we used both qualitative and quantitative strategies combined. The statistical population in both stages consisted of experts; besides, judgmental and snowball sampling methods were used. In the first stage, acceptance factors were identified through semi-structured interviews. In the second stage, using fuzzy cognitive mapping approach, the acceptance factors were modeled, and the scenario was analyzed. Findings: The results of the first phase show 58 factors of Internet of Things acceptance, which are categorized into 17 sub-themes and 5 main themes. The second-stage results show that the theme of expertise enjoys the highest degree of influence, then the theme of technology readiness comes next. Also, the overlapping of forward and backward scenarios indicates the importance of expertise and technological readiness. Originality: Since there is little understanding of the factors affecting the acceptance of the Internet of Things at the supply chain level of Iranian businesses, this research has been able to add to the literature of this field and to fill the gap by identifying, modeling, and analyzing the scenario of these factors. Implications: Changing recruitment and hiring policies to find and hire qualified personnel, using in-service training tools, and having access to a technological roadmap are the most important strategies of the supply chain, which can lead to organizational expertise and readiness.

Keywords

• internet of things
• fuzzy cognitive map
• scenario analysis
• supply chain
• acceptance factors.