Abdel-Basset, M., Manogaran, G., & Mohamed, M. (2018). Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems. Future Generation Computer Systems, 86(9), 614-628.
Abouzid, I., Bekali, Y. K., & Saidi, R. (2022). Modelling IoT Behaviour in Supply Chain Business Processes with BPMN: A Systematic Literature Review. Journal of ICT Standardization, 439-468.
Adler, C., & Lalonde, C. (2020). Identity, agency and institutional work in higher education: a qualitative meta-synthesis. Qualitative Research in Organizations and Management, 15(2), 121–144.
Adu-Amankwa, K., Corney,J.,Rentizelas,A.,&Wodehouse, A. (2022). Intellectual property management challenges of additive manufacturing in replacement part supply chains. IFAC-Papers Online, 55(10), 1527-1532.
Ahmed, I., Zhang, Y., Jeon, G., Lin, W., Khosravi, M. R., & Qi, L. (2022). A blockchain‐and artificial intelligence‐enabled smart IoT framework for sustainable city. International Journal of Intelligent Systems, 37(9), 6493-6507.
Akanmu, A., & Anumba, C. J.(2015). Cyber-physical systems integration of building information models and the physical construction. Engineering, Construction and Architectural Management, 22(5), 516–535.
Asim, Z., Sorooshian, S., Al Shamsi, I. R., Muniyanayaka, D., & Al Azzani, A. (2025). Supply Chain 4.0 A Source of Sustainable Initiative across Food Supply Chain: Trends and Barriers. In Human Perspectives of Industry 4.0 Organizations (pp. 17-37). CRC Press.
Basu, R., Das, M. C., Kumar, A., & Sarkar, B. (2025). Identifying and Prioritizing Quality 4.0 Practices in Sustainable Manufacturing Using Rough Number-Based AHP-MABAC. In Handbook of Intelligent and Sustainable Manufacturing (pp. 135-165). CRC Press.
Bazargan, A., Ghasemi, R., Eftekhar Ardebili, M., & Zarei, M. (2017). The relationship between ‘higher education and training’and ‘business sophistication’. Iranian Economic Review, 21(2), 319-341.
Belhadi, A., Mani, V., Kamble, S. S., Khan, S. A. R., & Verma, S. (2024). Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation. Annals of Operations Research, 333(2), 627-652.
Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: a literature review. International journal of production research, 57(15-16), 4719-4742.
Bouanba, N., Barakat, O., & Bendou, A. (2022). Artificial Intelligence & Agile Innovation: Case of Moroccan Logistics Companies. Procedia Computer Science, 203, 444-449
Cheng, C., & Bai, J. (2022). Coping with Multiple Chronic Conditions in the Family Context: A Meta-Synthesis. Western Journal of Nursing Research, 44(10), 972-984.
Crowe, M., Gillon, D., Jordan, J., & Mccall, C. (2017). Older peoples’ strategies for coping with chronic non-malignant pain: A qualitative meta-synthesis. International Journal of Nursing Studies, 68, 40–50
Cui, L., Gao, M., Dai, J., & Mou, J. (2022). Improving supply chain collaboration through operational excellence approaches: an IoT perspective. Industrial Management & Data Systems, 122(3), 565-591.
Daneshjoovash, S. K., Jafari, P., & Khamseh, A. (2020). Effective commercialization of hightechnology entrepreneurial ideas: a meta-synthetic exploration of the literature. Journal of Small Business & Entrepreneurship.
deVass, T., Shee, H., & Miah,S.J. (2021). IoT in supply chain management: Opportunities and challenges for businesses in early industry4.0context. Operations and Supply Chain Management:An International Journal,14(2),148-161.
Domingos, D.& Martins,F. (2017).Using BPMN to model Internet of Things behavior within business process. International Journal of Information Systems and Project Management, 5(4), 39-51.
Dwivedi, A., Agrawal, D., Jha, A., & Mathiyazhagan, K. (2023). Studying the interactions among Industry 5.0 and circular supply chain: Towards attaining sustainable development. Computers & Industrial Engineering, 176, 108927
Eyilmez, Y. (2024). The Effectiveness of IBPM (Intelligenct Business Process Management) on CRM Compared to BPM.
Farahani, P., Meier, C., & Wilke, J. (2017). Digital supply chain management agenda for the automotive supplier industry. In Shaping the digital enterprise (pp. 157-172). Springer, Cham.
Farshidi, S., Kwantes, I. B., & Jansen, S. (2024). Business process modeling language selection for research modelers. Software and Systems Modeling, 23(1), 137-162.
Feldmann, K., Franke, J., & Schüßler, F. (2010). Development of micro assembly processes for further miniaturization in electronics production. CIRP Annals - Manufacturing Technology, 59(1), 1–4
Finfgeld-Connett, D. (2018). A guide to qualitative meta-synthesis (Vol. 10). New York, NY, USA:: Routledge.
Friede, G. (2019). Why don’t we see more action? A metasynthesis of the investor impediments to integrate environmental, social, and governance factors. Business Strategy and the Environment, 1–23
García-Reyes, H., Avilés-González, J., & Avilés-Sacoto, S. V. (2022). A Model to Become a Supply Chain 4.0 Based on a Digital Maturity Perspective. Procedia Computer Science, 200, 1058-1067.
Ghadge, A., Karantoni, G., Chaudhuri, A., & Srinivasan, A. (2018). Impact of additive manufacturing on aircraft supply chain performance:A system dynamics approach. Journal of Manufacturing Technology Management, 29(5), 846–865.
Ghasemi, R., Alidoosti, A., Hosnavi, R., & Norouzian Reykandeh, J. (2018). Identifying and prioritizing humanitarian supply chain practices to supply food before an earthquake. Industrial management journal, 10(1), 1-16. (In Persian)
Ghasemi, R., Hashemi–Petroudi, S. H., Mahbanooei, B., & Mousavi–Kiasari, Z. (2013). Relationship between Infrastructure and Technological Readiness based on Global Competitiveness Report: a Guidance for Developing Countries, 1 st International. In 7th national Conference on Electronic Commerce & Economy (pp. 19-21).
Ghasemi, R., Mahbanooei, B., & Beigi, R. G. (2018). The Relationship between Labor Market Efficiency and Innovation. In Proceeding of 11th International Seminar on Industrial Engineering & Management (ISIEM) (Nov. 27-29, 2018 Makassar, Indonesia) (pp. 142-149).
Ghasemi, R., Mohaghar, A., Safari, H., & Akbari Jokar, M. R. (2016). Prioritizing the applications of internet of things technology in the healthcare sector in Iran: A driver for sustainable development. Journal of information technology management, 8(1), 155-176.
Govindan, K., Kannan, D., Jørgensen, T. B., & Nielsen, T. S. (2022). Supply chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence. Transportation Research Part E: Logistics and Transportation Review, 164, 102725
Grambow, G., Hieber, D., Oberhauser, R., & Pogolski, C. (2021, September). A context and augmented reality bpmn and bpms extension for industrial internet of things processes. In International Conference on Business Process Management (pp. 379-390). Cham: Springer International Publishing.
Haghighi, S. M., Torabi, S. A., & Ghasemi, R. (2016). An integrated approach for performance evaluation in sustainable supply chain networks (with a case study). Journal of cleaner production, 137, 579-597.
Hall, H., Leach, M., Brosnan, C., & Collins, M. (2017).Nurses’ attitudes towards complementary therapies: A systematic review and meta-synthesis. International Journal of Nursing Studies, 69, 47–56
Hao, X. (2023). Examining Collaborative Business Process Modeling Techniques. Journal of Enterprise and Business Intelligence, 3(2), 075-084.
Heguy, X., Tazi, S., Zacharewicz, G., & Ducq, Y. (2024). Tracking Interoperability and Data Quality: A Methodology with BPMN 2.0 Extensions and Performance Evaluation. Modelling, 5(3), 797-818.
Hernandez, M. C., Alvarez, A. N. R., & Anguiano, F. I. S. (2023). Project management and supply chain 4.0 improvement: the case of infant formulas in the face of the challenge of COVID-19.Procedia Computer Science,217, 278-285.
Hofmann, E., & Rüsch, M. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry, 89, 23–34.
Hoorshad, A., Safari, H., & Ghasemi, R. (2023). Developing Smart Supply Chain Management Model in Fast-moving Consumer Goods Industry (FMCG). Journal of Industrial Management Perspective, 13(4), 108-148.
Horton, L. (2020). Making qualitative data more visible in policy: A critical appraisal of meta-synthesis. Qualitative Research, 20(5), 534-548.
Jafarnejad, A., Ghasemi, R., & Abdullahi, B. (2011, November). Relationship between “Financial Market Development” and “Technological Readiness” based on Global Competitiveness Report: a Guidance for Developing Countries, 1 st International. In 5th national Conference on Management of Technology (pp. 23-25).
Jafarnejad, A., Ghasemi, R., & Ghasemi, M. R. (2010). Developing and designing a new technology for drilling on the small area. In 4th Natinal Conference on Management of technology, Tehran, Iran, 8th & 9th Nov.
Jafarnejad, A., Ghasemi, R., Abdollahi, B., & Esmailzadeh, A. (2013). Relationship between macroeconomic environment and technological readiness: A secondary analysis of countries global competitiveness. International Journal of Management Perspective. 1(2), 1-13.
Jafarnejad, A., Rahayu, G. H. N. N., Ghasemi, R., & Bahrami, F. (2014). Relationship between knowledge management process capabilities and supply chain relations quality. In 6th International Conference on Operations and Supply Chain Management (pp. 1072-1085).
Jain, R. K., & Samanta, S. K. (2025). Application of IoT and Artificial Intelligence in Smart Manufacturing: Towards Industry 4.0. In Handbook of Intelligent and Sustainable Manufacturing (pp. 235-259). CRC Press.
Jamalian, A., Ghadikolaei, A. S., Zarei, M., & Ghasemi, R. (2018). Sustainable supplier selection by way of managing knowledge: a case of the automotive industry. International Journal of Intelligent Enterprise, 5(1-2), 125-140.
Karanam, S. D., Kamath, R. S., Kulkarni, R. V. R., & Pai, B. H. S. K. (2021). Big data integration solutions in organizations: A domain-specific analysis. Data Integrity and Quality, 1-31.
Karimi, T., Azar, A., Mohebban, B., & Ghasemi, R. (2022). Developing an Internet of Things-based intelligent transportation technology roadmap in the food cold supply chain. Industrial Management Journal, 14(2), 195-219. (In Persian).
Kehayov, M., Holder, L., & Koch,V. (2022).Application of artificial intelligence technology in the manufacturing process and purchasing and supply management. Procedia Computer Science, 200, 1209-1217
Khan, M. D.,Schaefer, D.,& Milisavljevic-Syed, J. (2022). Supply Chain Management 4.0:Looking Backward,Looking Forward.Procedia CIRP,107,9-14.
Kim, B., & Jeong, J. (2022). Blockchain-based Real-time Information Management in Remicon Manufacturing Process. Procedia Computer Science, 203, 135-140.
Kocsi, B., Matonya, M. M., Pusztai, L. P., & Budai, I. (2020). Real-time decision-support system for high-mix low-volume production scheduling in industry 4.0. Processes, 8(8), 912.
Korpysa, J., & Halicki, M. (2022). Project supply chain management and fintech startups–relationship. Procedia Computer Science, 207, 4419-4427.
Kumi, S., Lomotey, R. K., & Deters, R. (2022). A Blockchain-based platform for data management and sharing. Procedia Computer Science, 203, 95-102.
Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & information systems engineering, 6, 239-242.
Lazazzara, A., Tims, M., & De Gennaro, D. (2020). The process of reinventing a job: A meta–synthesis of qualitative job crafting research. Journal of Vocational Behavior, 116, 103267.
Liao, S. H., & Tasi, Y. S. (2019). Big data analysis on the business process and management for the store layout and bundling sales. Business Process Management Journal, 25(7), 1783-1801.
Lin, H.,Lin,J., &Wang,F. (2022).An innovative machine learning model for supply chain management. Journal of Innovation & Knowledge, 7(4), 100276. Technology and Entrepreneurship, 2(1), 100032
Maiyar, L. M. (2022). Link between Industry 4.0 and green supply chain management: Evidence from the automotive industry.
Mehregan, M. R., Ghasemi, R., Amirnequiee, S., & Zarei, M. (2016, December). Developing DEMATEL-CCA Hybrid Algorithm Approach to Analyze the Causal Relations on Global Competitiveness Pillars. In 4th International Conference on Strategic Management, Faculty of Management, University of Tehran.
Meyer, S., Ruppen, A., & Hilty, L. (2015). The things of the internet of things in BPMN. In Advanced Information Systems Engineering Workshops: CAiSE 2015 International Workshops, Stockholm, Sweden, June 8-9, 2015, Proceedings 27 (pp. 285-297). Springer International Publishing
Mezgebe, T. T., Gebreslassie, M. G., Sibhato, H., & Bahta, S. T. (2023). Intelligent Manufacturing Eco-system: A Post COVID-19 Recovery and Growth opportunity for manufacturing industry in Sub-Saharan Countries. Scientific African, e01547.
Mladenova, T. (2020, October). Open-source ERP systems: an overview. In 2020 International Conference Automatics and Informatics (ICAI) (pp. 1-6). IEEE.
Mohaghar, A., & Ghasemi, R. (2011). A conceptual model for cooperate strategy and supply chain performance by structural equation modeling a case study in the Iranian automotive industry. European journal of social sciences, 22(4), 519-530.
Mohaghar, A., Ghasemi, R., & Askarian, A. (2024:a). An Agent Based Simulation in Semi-Prepared Food Supply Chain for Export during Coronavirus Pandemic (A Case study in Amadeh-Laziz Company).
Journal of Industrial Management Perspective, (in press). Retrieved from:
https://jimp.sbu.ac.ir/article_104672.html?lang=en (accessed at: Aug.20.2024).
Mohaghar, A., Ghasemi, R., & Imani, M. H. (2022: a). Developing a Resilient Business Model for Complex Techno-social Organizations by Meta-Synthesis Method. Industrial Management Journal, 14(4), 507-538. (In Persian)
Mohaghar, A., Ghasemi, R., Abdullahi, B., Esfandi, N., & Jamalian, A. (2011). Canonical correlation analysis between supply chain relationship quality and cooperative strategy: a case study in the Iranian automotive industry. European Journal of Social Sciences, 26(1), 132-145.
Mohaghar, A., Ghasemi, R., Toosi, H., & Sheykhizadeh, M. (2022:b). Evaluating city of knowledge’s project management office functions using BWM and importance‐performance analysis. Journal of Decisions and Operations Research, 7(4), 530-549.
Mohaghar, A., Heydarzadeh Moghaddam, H., & Ghasemi, R. (2023: a). Developing a Model to Optimize Maximum Coverage of Roadside Units Placement in Vehicular Ad–hoc Network for Intelligent Transportation System. Journal of Industrial Management Perspective, 13(2), 211-240.
Mohaghar, A., Jafarnezhad, A., Yazdi, M.M. & Sadeghi Moghadam, M. (2012). Presenting an Informational Coordinative and Comprehensive Model in Automobile Supply Network by Using Meta-Synthesis. Information Technology Management, 5(4): 161-194. (in Persian)
Mohaghar, A., Sadeghi Moghadam, M. R., Ghourchi Beigi, R., & Ghasemi, R. (2021). IoT-based services in banking industry using a business continuity management approach. Journal of Information Technology Management, 13(4), 16-38.
Mohaghar, A., Safari, H., Ghasemi, R., Abdullahi, B., & Maleki, M. H. (2011). Canonical correlation analysis between supply chain relationship quality and supply chain performance: A case study in the Iranian automotive industry. International Bulletin of Business Administration, 10(10), 122-134.
Mohaghar, A., Safari, H., Ghasemi, R., Zarei, A. (2024: b), Model of Financial Supply Chain Flexibility for automotive Leasing Industry in Iran, Industrial Management Journal (in press).
Mohaghar, A.,Mahbanooei, B., & Ghasemi, R. (2023:b), Internet of Things governance: Cognitive Map based on experiences of selected countries, 19th International Conference on Management 19, (pp. 1-13), Tarbiat Modares University, Tehran, Iran, Retrieved from:
https://imc.isu.ac.ir/fa/ (Accessed at Jan.12.2024). (In Persian)
Mohammadzadeh, A. K., Ghafoori, S., Mohammadian, A., Mohammadkazemi, R., Mahbanooei, B., & Ghasemi, R. (2018). A Fuzzy Analytic Network Process (FANP) approach for prioritizing internet of things challenges in Iran. Technology in Society, 53, 124-134.
Morgner, R., & Burger, M. (2024). Siemens: Acting Resiliently Through Hybrid Process Intelligence in the Supply Chain Metaverse. In Process Intelligence in Action: Taking Process Mining to the Next Level (pp. 175-191). Cham: Springer Nature Switzerland.
Nagarajan, S. M., Deverajan, G. G., Chatterjee, P., Alnumay, W., & Muthukumaran, V. (2022). Integration of IoT based routing process for food supply chain management in sustainable smart cities. Sustainable Cities and Society, 76, 103448
Najem, R., Amr, M. F., Bahnasse, A., & Talea, M. (2022). Artificial intelligence for digital finance,axes and techniques.Procedia Computer Science, 203,633-638.
Nasrollahi, M., Ghadikolaei, A. S., Ghasemi, R., Sheykhizadeh, M., & Abdi, M. (2022). Identification and prioritization of connected vehicle technologies for sustainable development in Iran. Technology in Society, 68, 101829.
Paterson, B. L., Dubouloz, C. J., Chevrier, J., Ashe, B., King, J., & Moldoveanu, M. (2009). Conducting qualitative metasynthesis research: Insights from a metasynthesis project. International Journal of Qualitative Methods, 8(3), 22-33.
Pavlicek, J., Pavlickova, P., Pokorná, A., & Brnka, M. (2023, June). Business Process Models and Eye Tracking System for BPMN Evaluation-Usability Study. In International Workshop on Model-Driven Organizational and Business Agility (pp. 53-64). Cham: Springer Nature Switzerland.
Pourezzat, A. A., Mahbanooei, B., Ghasemi, R., Rafiei, R (2022), Governance Performance Evaluation System, University of Tehran Press, Tehran: Iran.
Pozzo, D. N., Correa, K.R., Madrid, A.I.C., Campo, C.J.C., Donado, M.E.G., & Biegelmeyer,U.H. (2022). Logistics 4.0: a review of current trends using bibliometric analysis. Procedia Computer Science, 203,531-536
Rastegar, A. A., Mahbanooei, B., & Ghasemi, R. (2012, May). Canonical correlation analysis between technological readiness and labor market efficiency: A secondary analysis of countries global competitiveness in 2011–2012. In 13th International Conference on Econometrics, Operations Research and Statistics (ICEOS-2012) (pp. 24-26).
Razavi, S. M., Abdi, M., Amirnequiee, S., & Ghasemi, R. (2016). The impact of supply chain relationship quality and cooperative strategy on strategic purchasing. Journal of Logistics Management, 5(1), 6-15.
Razavi, S., Mostafa, G., Rohollah, A. B., & Kashani, M. (2011). Relationship between technological readiness and innovation: A secondary analysis of countries global competitiveness. European Journal of Scientific Research, 59(3), 318-328.
Rezaeefard, M., Pilevari, N., Razi, F. F., & Radfar, R. (2022). Reducing the bullwhip effect in supply chain with factors affecting the customer demand forecasting. International Journal of Services Operations and Informatics, 12(2), 144-183.
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), 2117–2135
Sadeghi Moghadam, M. R., Norouzian Reykandeh, J., & Ghasemi, R. (2017). Explanation of the importance-performance dimensions and components of humanitarian supply chain in post-disaster. Organizational resources management researchs, 7(3), 157-176.
Saghafi, F., Mohaghar, A. & Kashiha, M. (2020). Presenting technological catch-up framework based on grounded theory and meta-synthesis. Management Research in Iran, 24(1), 107- 129
Sheykhzadeh, M., Ghasemi, R., Vandchali, H. R., Sepehri, A., & Torabi, S. A. (2024). A hybrid decision-making framework for a supplier selection problem based on lean, agile, resilience, and green criteria: A case study of a pharmaceutical industry.
Environment, Development and Sustainability, 1-28.
https://doi.org/10.1007/s10668-023-04135-7
Susithra, S., & Vasantha, S. (2024, April). The Adoption of Green Supply Chain Practices using Artificial Intelligence (AI) for Smart Global Value Chain. In 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM) (pp. 1-8). IEEE.
Szelągowski, M., & Berniak-Woźny, J. (2024). BPM challenges, limitations and future development directions–a systematic literature review. Business Process Management Journal, 30(2), 505-557.
Tjahjono, B., Esplugues, C., Ares, E., & Pelaez, G. (2017). What does industry 4.0 mean to supply chain? Procedia Manufacturing, 13, 1175–1182.
Valderas, P., Torres, V., & Serral, E. (2022). Modelling and executing IoT-enhanced business processes through BPMN and microservices. Journal of Systems and Software, 184, 111139.
Wang, J., Omar, A., Al Mheiri, A., Hassan, H., Nassif, R., & Mukluf, Y. (2017). Cloud Computing, Intelligent Business Process Management and Artificial Intelligence. International journal of data analysis and information systems, 9, 1-12.
Xue, J., Zhang, W., Rasool, Z., & Zhou, J. (2022). A review of supply chain coordination management based on bibliometric data. Alexandria Engineering Journal, 61(12), 10837-10850.
Yang, M., Lim, M. K., Qu, Y., Ni, D., & Xiao, Z. (2022). Supply chain risk management with machine learning technology: A literature review and future research directions. Computers & Industrial Engineering, 108859
Yousefi, D., Yousefi, J., & Ghasemi, R. (2024). Key Success Factors to Implement IoT in the Food Supply Chain.
Journal of Information Technology Management. (in press). Retrieved from:
https://jitm.ut.ac.ir/article_97932.html (accessed at: Aug.20.2024).
Zadtootaghaj, P., Mohammadian, A., Mahbanooei, B., & Ghasemi, R. (2019). Internet of Things: A Survey for the Individuals' E-Health Applications. Journal of Information Technology Management, 11(1), 102-129.
Zamani, M., Ghorchibeigi, R., & Ghasemi, R. (2018). Identifying the requirements and applications of Internet of things (IoT) in the banking industry based on international experience. In 7th National Conference on Electronic Banking and Payment Systems, Tehran, Iran.
Zarei, M., Jamalian, A., & Ghasemi, R. (2017). Industrial guidelines for stimulating entrepreneurship with the internet of things. In The Internet of Things in the Modern Business Environment (pp. 147-166). IGI Global.
Zarei, M., Mohammadian, A., & Ghasemi, R. (2016). Internet of things in industries: A survey for sustainable development. International Journal of Innovation and Sustainable Development, 10(4), 419-442.
Zavantis, D., Outay, F., El-Hansali, Y., Yasar, A., Shakshuki, E., & Malik, H. (2022).Autonomous Driving and Connected Mobility Modeling: Smart Dynamic Traffic Monitoring and Enforcement System for Connected and Autonomous Mobility. Procedia Computer Science, 203, 213-221
Zhang, G., Yang, Y., & Yang, G.(2022).Smart supply chain management in Industry 4.0:the review, research agenda and strategies in North America. Annals of Operations Research, 1-43.
Zhang,H.,& Xiao, J. (2020).Quality assessment framework for open government data Metasynthesis of qualitative research, 2009-2019. The Electronic Library, 38(2), 209–222
Zheng,K.,Zheng,L.J.,Gauthier,J., Zhou, L., Xu, Y., Behl, A., & Zhang,J.Z. (2022).Blockchain technology for enterprise credit information sharing in supply chain finance. Journal ofInnovation & Knowledge, 7(4), 100256
Zhong, R.Y., Newman, S.T., Huang, G.Q., & Lan, S.(2016).Big data for supply chain management in the service and manufacturing sectors: challenges, opportunities, and future perspectives. Computers and Industrial Engineering, 101 ,572-591,
Zhou, L.i., Chong, A. Y. L., & Ngai, E.W.T. (2015). Supply chain management in the era of the internet of things. International Journal of Production Economics, 159, 1–3.
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