Investigating factors affecting the acceptance of Internet of Things (IOT) in the digital clothing supply chain using FUZZY AHP and WASPAS techniques

The purpose of this research is to investigate the factors influencing the adoption of Internet of Things (IOT) in the digital clothing supply chain using FUZZY AHP and WASPAS techniques. This research has a mixed approach, in terms of descriptive-survey method. The statistical population includes Mazandaran textile employees and managers. The research tool is a pairwise comparison questionnaire. In the first stage, the components of the study were collected from the research literature and screened by experts using the Delphi technique in 3 rounds. In order to prioritize the levels of Mazandaran textile clothing supply chain, Fuzzy Hierarchy Analysis (FUZZY AHP) technique was used and in order to prioritize the factors of Internet of Things acceptance, WASPAS technique was used. The results of the research indicate that, in the first stage, the level of customer demand with a weight of 0.499 has been prioritized. In the second step in adopting the Internet of Things in the digital clothing supply chain, system integration is the first priority, the infrastructure of the Internet of Things is the second priority, the flexibility of the supply chain is the third priority, human capital is the fourth priority, and organizational culture is the fifth priority. Considering the first priority of system integration in the implementation of Internet of Things in Mazandaran Textile, it is suggested that regulatory organizations act more agile and active in setting the standards of Internet of Things.