TY - JOUR ID - 103013 TI - Analyzing Effective Components in Industry 4.0 Readiness Assessments JO - Journal of Industrial Management Perspective JA - JIMP LA - en SN - 2251-9874 AU - Bahrami, Mohammad Reza AU - Hashemzadeh, Gholam Reza AU - Shahmansouri, Ashraf AU - Fathi Hefeshjani, Kiamars AD - Ph.D Candidate in Industrial Management, South Tehran Branch, Islamic Azad University, Tehran, Iran. AD - Associate Professor, Faculty of Management and Accounting, South Tehran Branch, Islamic Azad University, Tehran, Iran. AD - Assistant Professor, Faculty of Management and Accounting, South Tehran Branch, Islamic Azad University, Tehran, Iran. Y1 - 2023 PY - 2023 VL - 13 IS - 2 SP - 267 EP - 297 KW - Industry 4.0 Readiness KW - Smart Factory KW - Digital Revolution KW - Smart Automation KW - Fuzzy Dematel DO - 10.48308/jimp.13.2.267 N2 - Fourth industrial revolution is rapidly changing technology, industry and patterns through increased communications and intelligent automation in the current century. It is crucial to conduct thorough research to determine the importance of dimensions and indicators in assessing the preparedness of Iran's industries for sustainability in Industry 4.0. The goal of this paper is to identify and determine the importance of the influential components on the organization's readiness to move towards the fourth-generation industry. This model should help the organizations and industries understand their industry 4.0 readiness status. In qualitative part of the study, we categorized the data to produce the initial codes, themes and axial codes by examining the theoretical foundations and receiving experts' comments. The result was extracting 60 initial codes and 6 themes. We then used the fuzzy Delphi method on the result of the poll. Experts unanimously voted in favor of 17 sub-criteria. Finally, we used fuzzy DEMATEL method to study the relationships between criteria and sub-criteria. According to this study, ‘functional readiness’ was the most effectible and ‘information technology readiness’ was the most affecting criteria. Among sub-criteria, ‘governmental and institutional laws’ and ‘workplace dynamics’ were identified as the most effectible cause and most affecting effect respectively. UR - https://jimp.sbu.ac.ir/article_103013.html L1 - https://jimp.sbu.ac.ir/article_103013_2af7d21aff980d95cc3ba38dbdaa64e3.pdf ER -