The present article aims to investigate and analyze the barriers to IoT acceptance in the supply chain of the pharmaceutical industry. The method of data collection is library studies and the method of data collection is field through a questionnaire. The statistical population of the experts includes two groups of 25 people for screening and 6 people for specialized and final solutions of the model. Obstacles were identified by reviewing the theoretical research literature and then screened by fuzzy Delphi method. To analyze the data, a multi-criteria decision-making method was performed in a triangular fuzzy manner due to the ambiguity in answering the questionnaires. Fuzzy DEMATEL method was used to determine the relationships between barriers and Network Analysis Process (ANP) method was used to weigh and prioritize barriers and MAIRCA, F. MAIRCA, F. MOORA, WASPAS methods were used to rank barrier overcoming strategies. According to experts, six main barriers were identified, including environmental barriers, economic barriers, technical barriers, supply chain barriers, organizational barriers, and facility barriers. Among the main barriers, environmental barriers are the first effective barriers and with an intensity of 0.15 on organizational barriers, with an intensity of 0.13 on facility barriers, and with an intensity of 0.20 on technical barriers, and with an intensity of 0.16 on barriers. Economic, and with an effect intensity of 0.21 on supply chain barriers The results of data analysis through questionnaires and solutions with EXCEL software showed that environmental barriers affect other barriers and supply chain barriers affect the identified barriers. Also, the solution by F. ANP method showed that the most weight is related to the obstacles of "lack of financial investment" and gained the first priority. Also, the solution of "formulating an effective supply chain management strategy" has won the first place.
Jafarnejad A, Momeni M, Razavi Hajiagha SH, Faridi Khorshidi M. A dynamic supply chain resilience model for medical equipment’s industry. J Modell Manag. 2019;14(3):816-40. doi: 10.1108/JM2-11-2018-0195.
Ben-Daya M, Hassini E, Bahroun Z. Internet of things and supply chain management: a literature review. Int J Prod Res. 2017:1-24
Issaoui Y, Khiat A, Bahnasse A, Ouajji H. Smart logistics: study of the application of blockchain technology. Procedia Comput Sci. 2019;160:266-71. doi: 10.1016/j.procs.2019.09.467.
Li B, Li Y. Internet of Things drives supply chain innovation: a research framework. Int J Organ Innov. 2017;9(1):71-92.
Abdel-Basset M, Manogaran G, Mohamed M. RETRACTED: Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems. Future Gener Comput Syst. 2018;86:614-28. doi: 10.1016/j.future.2018.04.051.
Singh M, Sachan S, Singh A, Singh KK. Internet of Things in pharma industry: possibilities and challenges. Emergence Pharm Ind Growth Ind IoT Approach. 2020:195-216. doi: 10.1016/b978-0-12-819593-2.00007-8.
Kouhizadeh M, Saberi S, Sarkis J. Blockchain technology and the sustainable supply chain: theoretically exploring adoption barriers. Int J Prod Econ. 2021;231. doi: 10.1016/j.ijpe.2020.107831, PMID 107831.
camble SS, Gunasekaran A, Parekh H, Joshi S. Modeling the internet of things adoption barriers in food retail supply chains. J Retailing Con Serv. 2019;48:154-68. doi: 10.1016/j.jretconser.2019.02.020.
Agrawal P, Narain R, Ullah I. Analysis of barriers in implementation of digital transformation of supply chain using interpretive structural modelling approach. J Modell Manag. 2019;15(1):297-317. doi: 10.1108/JM2-03-2019-0066.
Luthra S, Garg D, Mangla SK, Singh Berwal YPS. Analyzing challenges to Internet of Things (IoT) adoption and diffusion: an Indian context. Procedia Computer Science. Proceedings of the Comput. 2018;125:733-9. doi: 10.1016/j.procs.2017.12.094.
Tu M. An exploratory study of Internet of Things (IoT) adoption intention in logistics and supply chain management. Int J Logist Manag. 2018;29(1):131-51. doi: 10.1108/IJLM-11-2016-0274.
Haddud A, DeSouza A, Khare A, Lee H. Examining potential benefits and challenges associated with the Internet of Things integration in supply chains. J Manuf Technol Manag. 2017;28(8):1055-85. doi: 10.1108/JMTM-05-2017-0094.
Mohaghar A, Taghizadeh Yazdi M, Jolai F, Mohammadi M, Atashin Panjeh S. Conceptual modeling of the Internet of things implementation in hospitals supply chain. J Inf Technol Manag. 2019;11(1):1-23. doi: 10.22059/jitm.2019.287928.2396.
Rahsparfard K, Molaei R. Investigating IoT challenges using interpretive structural modeling. Information management. Sci Technol. 2018;4(4):63-82. doi: 10.22091/stim.2019.4057.1297.
Valmohammadi Ch. Examining the perception of Iranian organizations on Internet of Things solutions and applications. Ind Comm Train. 2016;48(2):104-8. doi: 10.1108/ICT-07-2015-0045.
