Analysis of antecedents and outcomes of Internet of things in supply chain with interpretive structural modeling based on content analysis approach

Due to increasing competition, it is necessary to focus on new technology in supply chain. Internet of things is one of the most innovative tools. Creation of appropriate factors in order to operationalization internet of things will lead to development of supply chain performance. Recognition of determining factors in order to use internet of things and awareness of effective result are essential. The purpose of this research is analysis of antecedents and outcomes of Internet of things in supply chain. This paper is based on mixed research including qualitative and quantitative parts. The statistical population of this paper in qualitative part is internal and external papers and that of quantitative part is university professors and industrial experts. This research based on judgmental sampling method as well as contains 22 articles in qualitative part and 10 persons in quantitative part. Library method is used to collect data in the qualitative part while researcher-made questionnaire is used to collect data in the quantitative part. Content analysis is allocated to qualitative part and interpretive structural modeling is assigned to quantitative part. Finally, the results of content analysis are presented in eight antecedents including cultural capital, financial capital, human capital, mental capital, communication capital, information technology infrastructure, legal facilities and environmental capabilities. Additionally, the seven main outcomes including economic performance, social performance, environmental performance, commercial performance, production and operational performance, office system performance and performance development. The most determining variables in antecedent section is information technology infrastructure and in outcome section is economic performance.