Provide supply chain management model according to IoT technology in companies Tehran Province Information Technology

Document Type : Original Article

Authors

1 Department of Information Technology Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

2 Department of Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran

3 Department of Industrial Management, West Tehran Branch, Islamic Azad University, Tehran, Iran

10.30510/psi.2022.300951.2175

Abstract

The purpose of this study is to present the supply chain management model with regard to IoT technology in companies in the field of information technology in Tehran province. The present study is part of applied research according to the objectives it pursues and in terms of the work process is part of descriptive and survey research. It is an exploratory type. The statistical population consisted of experts familiar with the subject of research (managers, experts and professors fluent in the subject) which was interviewed in a non-random and purposeful way until theoretical saturation. The statistical sample was determined by snowball method. This research has used two open-ended and researcher-made questionnaires to collect the data needed to measure the studied variables. The scoring method of the second questionnaire is designed based on the Likert 5-choice spectrum. Experts' opinions were used to check the validity and the reliability was calculated with Cronbach's alpha and was equal to 0.79, which indicates the appropriate reliability of the instrument. Swat and system dynamics modeling were used to analyze the data. All analyzes were done with Venism software. The results showed that by modeling and simulating the effective factors on supply chain management and according to the factors, The effect of these factors on each other and how they are related has been shown that two scenarios were developed that attention to long-term time efficiency can improve the efficiency of supply chain management.

Keywords

Political Sociology of Iran
Volume 5, Issue 4
August 2022
Pages 1150-1169

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