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Akbari Arbatan, Golsum, Bashokouh Ajirlou, Mohammad, Zarei, Ghasem, Seifollahi, Naser. (1404). Designing a Balanced Implementation Strategy of Smart Technology in Supply Chain Management. , 17(1), 70-98. doi: 10.22059/imj.2025.382273.1008186
Golsum Akbari Arbatan; Mohammad Bashokouh Ajirlou; Ghasem Zarei; Naser Seifollahi. "Designing a Balanced Implementation Strategy of Smart Technology in Supply Chain Management". , 17, 1, 1404, 70-98. doi: 10.22059/imj.2025.382273.1008186
Akbari Arbatan, Golsum, Bashokouh Ajirlou, Mohammad, Zarei, Ghasem, Seifollahi, Naser. (1404). 'Designing a Balanced Implementation Strategy of Smart Technology in Supply Chain Management', , 17(1), pp. 70-98. doi: 10.22059/imj.2025.382273.1008186
Akbari Arbatan, Golsum, Bashokouh Ajirlou, Mohammad, Zarei, Ghasem, Seifollahi, Naser. Designing a Balanced Implementation Strategy of Smart Technology in Supply Chain Management. , 1404; 17(1): 70-98. doi: 10.22059/imj.2025.382273.1008186

Designing a Balanced Implementation Strategy of Smart Technology in Supply Chain Management

Industrial Management Journal
دوره 17، شماره 1، 2025، صفحه 70-98    اصل مقاله (544.83 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/imj.2025.382273.1008186
نویسندگان
Golsum Akbari Arbatan1؛ Mohammad Bashokouh Ajirlou* 2؛ Ghasem Zarei2؛ Naser Seifollahi2
1Ph.D. Candidate, Department of Business Management, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran.
2Prof., Department of Business Management, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran.
چکیده
Objective
Supply chains increasingly rely on information technology and real-time updates within networks. Emerging technologies, integral to the Fourth Industrial Revolution, view the intelligent supply chain as a crucial component. Smart technology, with its unique blend of advanced features, has immense potential to transform supply chain operations from inception to performance enhancement. This fusion includes concepts such as artificial intelligence, the Internet of Things, virtual reality, augmented reality, extended reality, blockchain, and more. These intelligent technologies facilitate supply chain monitoring by tracking equipment and processes. This research aimed to design a balanced implementation strategy for smart technology in supply chain management using a descriptive approach.
 
Methods
To achieve this feat, data were collected through a purposeful and criteria-based sampling method, involving university-educated experts in business management across various marketing, strategic, and e-commerce fields. A semi-structured interview format and thematic analysis were employed to analyze the data. The qualitative section included 11 participants, based on theoretical saturation. SWOT analysis was utilized to examine the internal and external factors influencing the supply chain. Subsequently, the Analytical Hierarchy Process (AHP) was applied to rank and determine the impact of each factor based on the qualitative results.
 
Results
The research findings identified and categorized concepts into four central criteria within a SWOT matrix: opportunity, strength, weakness, and threat, along with 28 sub-criteria. The results indicated that, among the opportunity themes, the highest priority was given to the synchronization of material, financial, and informational flow management, with a weight of 0.517. For the strength themes, ensuring transparency in the interaction among supply chain participants was the top priority, with a weight of 0.80. Within the weakness themes, the increase in costs due to the implementation of smart technology was the most significant, with a weight of 0.557. As for the threat themes, the absence of a global standard to ensure supply chain security was the primary concern, with a weight of 0.460. Consequently, these insights guided the ideation process and the development of a comprehensive strategy for managing, developing, and enhancing smart technology in supply chain management.
 
Conclusion
The study's findings confirm the high potential of smart technologies to optimize supply chain management. Implementing a systematic approach enables the evaluation of perspectives (advantages and challenges) and their integrated application. The development of alternative strategies stems from this systematic approach, which involves comprehensive studies of external and internal factors, their interrelationships, and the assessment of opportunities and potential threats. This paper significantly enriches the current marketing literature by demonstrating how smart technologies enhance supply chain management, addressing an issue previously overlooked in research.
کلیدواژه‌ها
Global economy؛ Strategy؛ Smart technology؛ Supply Chain Management
مراجع
ابراهیم‏زاده، عیسی و آقاسی‏زاده، عبداله (1388). تحلیل عوامل مؤثر بر گسترش گردشگری در ناحیه ساحلی چابهار با استفاده از مدل راهبردی SWOT. مطالعات و پژوهش‏های شهری منطقه‏ای، 1(1)، 107-128.

امیری، مقصود؛ حسینی دهشیری، سید جلال‌الدین؛ یوسفی هنومرور، احمد (1397). تعیین ترکیب بهینه استراتژی‌های زنجیرۀ تأمین لارج با بهره‌گیری از تحلیل SWOT، تکنیک‌های تصمیم‌گیری چندمعیاره و تئوری بازی. مدیریت صنعتی، 10(2)، 221- 246.

بیگی فیروزی، الله یار؛ باشکوه اجیرلو، محمد؛ سیف اللهی، ناصر؛ زارعی، قاسم (1402). فراتحلیل تأثیر چابکی زنجیرۀ تأمین بر عملکرد رابطه‌ای و عملیاتی با نقش تعدیلگری نوع صنعت. پژوهش‌های مدیریت عمومی، 17(46)، 219- 252.

رنجبر، طاهره؛ مجاوریان، سید مجتبی؛ شیرزادی لسکوکلایه، سمیه؛ رفتنی امیری، زینب؛ عشقی، فواد (1401). رتبه‌بندی شاخص‌های مهم فناوری بلاکچین برای زنجیرۀ تأمین روغن نباتی. اقتصاد و توسعه کشاورزی، 36(2)، 169- 182.

کرامتی، محمدعلی؛ امین موسوی، سیدعبداالله و نادریان، نگار (1403). کاربرد مدل آتراید ـ استرلینگ در بهبود عملکرد مالی و عملیاتی زنجیرة تأمین: تمرکز بر گزارشگری مالی و مدیریت موجودی. مدیریت صنعتی، 16(3)، 482- 501.

محقر، علی؛ صفری، حسین؛ قاسمی، روح‌اله و زارع، علی (1403). ارائة مدلی برای انعطـاف‌پـذیری زنجیـرة تأمین مـالی در صنعت لیزینگ خودرو ایران. مدیریت صنعتی، 16(3)، 398-425.

محمدی، طاهره؛ سجادی، سید مجتبی؛ نجفی، سید اسماعیل و تقی‌زاده یزدی، محمدرضا (1401). بهینه‌سازی زنجیرة تأمین هوشمند تحت سیاست مدیریت موجودی توسط فروشنده با رویکرد انتخاب فناوری مرتبط با اینترنت اشـیا. مـدیریت صـنعتی، 14(3)، 458-483.

ولی‌پور پرکوهی، سحر؛ صفایی قادیکلایی، عبدالحمید و فلاح لاجیمی، حمیدرضـا (1402). طبقـه‌بنـدی عوامـل کلیـدی موفقیـت در استقرار تولید هوشمند از منظر ذی‏نفعان و اجزای تکنولوژیـ مرور سیستماتیک ادبیات. مدیریت صنعتی، 15(2)، 180-222.

یحیایی، کاوسی و کلاشمی، محمد (1402). ارزیابی پیشران‏های مؤثر در استفاده از فناوری بلاکچین در زنجیرۀ تأمین برنج.  اقتصاد و بازار کشاورزی، 1(2)، 89- 100.

 

References

Acero, B., Saenz, M.J. & Luzzini, D. (2022). Introducing synchromodality: One missing link between transportation and supply chain management. Journal of Supply Chain Management, 58(1), 51-64.

Ada, N., Ethirajan, M., Kumar, A., KEk, V., Nadeem, S. P., Kazancoglu, Y. & Kandasamy, J. (2021). Blockchain technology for enhancing traceability and efficiency in automobile supply chain—a case study. Sustainability, 13(24), 13667. https://doi.org/10.3390/su132413667

Aliev, A. & Kadirov, D. (2022). Digital Marketing and Smart Technology Marketing Systems as the Future of Metaverse. In International Conference on Next Generation Wired/Wireless Networking (pp. 397-410). Cham: Springer Nature Switzerland.‏

Al-Jaroodi, J. & Mohamed, N., (2019). Blockchain in Industries: A survey. IEEE Access 7, 36500–36515.

Al-Mulhim, A.F. (2021). Smart supply chain and firm performance: the role of digital technologies. Business Process Management Journal, 27(5), 1353–1372. DOI: 10.1108/BPMJ-12-2020-0573

AlMulhim, A.F. (2023). The impact of cyber resilience and robustness on supply chain performance: evidence from the UAE chemical industry. Uncertain Supply Chain Management, 11(1), 187–194.

Alshurideh, M. T., Alquqa, E. K., Alzoubi, H. M., Al Kurdi, B. & Hamadneh, S. (2023). The effect of information security on e-supply chain in the UAE logistics and distribution industry. Uncertain Supply Chain Management, 11(1), 145-152.

Alzoubi, H. M., Elrehail, H., Hanaysha, J. R., Al-Gasaymeh, A. & Al-Adaileh, R. (2022). The role of supply chain integration and agile practices in improving lead time during the COVID-19 crisis. International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 13(1), 1-11.

Amiri, M., Hosseini Dahshiri, S. J. & Yousefi Hanumorur, A. (2017). Determining the optimal combination of large supply chain strategies using SWOT analysis, multi-criteria decision making techniques and game theory. Industrial Management, 10(2), 246-221.(in Persian)

Astill, J., Dara, R.A., Campbell, M., Farber, J.M., Fraser, E.D., Sharif, S. & Yada, R.Y. (2019). Transparency in food supply chains: A review of enabling technology solutions. Trends in Food Science & Technology, 91, 240–247.

Beigi Firouzi, A. Y., Bashokouh Ajirlu, M., Saifullahi, N. & Zarei, Q. (2024). Meta-analysis of the effect of supply chain agility on relational and operational performance with the moderating role of industry type. Public Management Research, 17(46), 252-219.
(in Persian)

Benzidia, S., Makaoui, N. & Bentahar, O. (2021). The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance. Technological forecasting and social change, 165, 120557.‏

Boes, K., Buhalis, D. & Inversini, A. (2016). Smart tourism destinations: ecosystems for tourism destination competitiveness. International Journal of Tourism Cities, 2(2), 108-124.‏

Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.

Buell, R., Kim, T. & Tsay, C. (2016). Creating Reciprocal Value through Operational Transparency. Management Science, 63(6), 1673-1695. https://doi.org/10.1287/mnsc.2015.2411

Bumblauskas, D., Mann, A., Dugan, B. & Rittmer, J. (2020). A blockchain use case in food distribution: Do you know where your food has been?. International Journal of Information Management, 52, 102008.

Carbonell, P. & Rodriguez Escudero, A. I. (2015). The negative effect of team’s prior experience and technological turbulence on new service development projects with customer involvement. European Journal of Marketing, 49(3/4), 278-301.

Carlan, V., Sys, C. & Vanelslander, T. (2022). Cost-effectiveness and gainsharing scenarios for purchasing a blockchain-based application in the maritime supply chain.  European Transport Research Review, 14(1), 21. https://doi.org/10.1186/s12544-022-00545-2

Centobelli, P., Cerchione, R., Del Vecchio, P., Oropallo, E. & Secundo, G. (2022). Blockchain technology for bridging trust, traceability and transparency in circular supply chain. Information & Management, 59(7), 103508.‏

Chbaik, N., Khiat, A., Bahnasse, A. & Ouajji, H. (2022). The application of smart supply chain technologies in the Moroccan logistics. Procedia Computer Science, 198, 578-583.‏

Cheung, K.F., Bell, M.G.H. & Bhattacharjya, J. (2021). Cybersecurity in logistics and supply chain management: An overview and future research directions. Transportation Research Part E: Logistics and Transportation Review, 146: 102217. https://doi.org/10.1016/j.tre.2020.102217

Clark, B. & Burstall, R. (2018). Blockchain, IP and the pharma industry—how distributed ledger technologies can help secure the pharma supply chain. J Journal of Intellectual Property Law & Practice, 13 (7), 531–533.

Del Vecchio, P. & Passiante, G. (2017). Is tourism a driver for smart specialization? Evidence from Apulia, an Italian region with a tourism vocation. Journal of Destination Marketing & Management, 6(3), 163-165.‏

Di Vaio, A. & Varriale, L. (2020). Blockchain technology in supply chain management for sustainable performance: Evidence from the airport industry. International Journal of Information Management, 52, 102014.‏

Difrancesco, R. M., Meena, P. & Tibrewala, R. (2021). Buyback and risk-sharing contracts to mitigate the supply and demand disruption risks. European journal of industrial engineering, 15(4), 550-581.

Dutta, P., Choi, T., Somani, S. & Butala, R. (2020). Blockchain technology in supply chain operations: Applications, challenges and research opportunities. Transportation research part e: Logistics and transportation review, 142:102067. https://doi.org/10.1016/j.tre.2020.102067

Ebrahimzadeh, I. & Aghasizadeh, A. (2009). Analysis of the factors affecting the development of tourism in the coastal area of ​​Chabahar using the SWOT strategic model. Regional urban studies and researches, 1(1), 107-128. (in Persian)

Gartner. (2021). Gartner announces rankings of the 2021 supply chain top 25. https://www.gartner.com/en/newsroom/pressreleases/2021-05- 19-gartner-announces-rankings-of-the-2021-supply-chain-top-25. Accessed 5 Oct 2021

Grewal, D., Hulland, J., Kopalle, P.K., Karahanna, E. (2020). The future of technology and marketing: a multidisciplinary perspective. Journal of the Academy of Marketing Science, 48, 1–8.

Gupta, S., Drave, V. A., Bag, S. & Luo, Z. (2019). Leveraging smart supply chain and information system agility for supply chain flexibility. Information Systems Frontiers, 21(3), 547–564. DOI: 10.1007/s10796-019-09901-5

Hackius, N. & Petersen, M. (2017). Blockchain in logistics and supply chain: trick or treat? In Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 23 (pp. 3-18).

Hernández-Méndez, J. & Muñoz-Leiva, F. (2015). What type of online advertising is most effective for eTourism 2.0? An eye tracking study based on the characteristics of tourists. Computers in human Behavior, 50, 618-625.‏

Jasrotia, S. S., Rai, S. S., Rai, S. & Giri, S. (2024). Stage-wise green supply chain management and environmental performance: Impact of blockchain technology. International Journal of Information Management Data Insights, 4(2), 100241.‏

Kar, A. K. & Navin, L. (2021). Diffusion of blockchain in insurance industry: An analysis through the review of academic and trade literature. Telematics and Informatics, 58, Article 101532. https://doi.org/10.1016/j.tele.2020.101532

Keramati, M., Musavi, S. A. A. & Naderian, N. (2024). Enhancing Supply Chains’ Financial and Operational Performance Using the Atride-sterling Approach: A Focus on Financial Reporting and Inventory Management. Industrial Management Journal, 16(3), 482-501. doi: 10.22059/imj.2024.375218.1008149 (in Persian)

Khan, S. A., Mubarik, M. S., Kusi-Sarpong, S., Gupta, H., Zaman, S. I. & Mubarik, M. (2022). Blockchain technologies as enablers of supply chain mapping for sustainable supply chains. Business Strategy and the Environment, 31(8), 3742-3756. https://doi.org/10.1002/ bse.3029.

Kopyto, M., Lechler, S., von der Gracht, H. & Hartmann, E. (2020). Potentials of blockchain technology in supply chain management: Longterm judgments of an international expert panel. Technological Forecasting and Social Change, 161:120330. https://doi.org/10.1016/j.techfore.2020.120330

Kotler, P., Kartajaya, H., Setiawan, I. (2021). Marketing 5.0: Technology for humanity. Wiley, Hoboken.

Kravets, O. (2017). On technology, magic and changing the world. Journal of Macromarketing, 37(3), 331–333. https://doi.org/10.1177/0276146717715303

Lehmann, F., Cordon, C. (2020). Business supply chain strategies are evolving, can poor countries benefit? The Institute for Management Development (IMD) and Trade for Development News by EIF

Lim, M. K., Li, Y., Wang, C. & Tseng, M. L. (2021). A literature review of blockchain technology applications in supply chains: A comprehensive analysis of themes, methodologies and industries. Computers & industrial engineering, 154, 107133. https://doi.org/10.1016/j.cie.2021.107133

Mohaghar, A., Safari, H., Ghasemi, R. & Zarei, A. (2024). Modeling Financial Supply Chain Flexibility: Evidence from Iran’s Automotive Leasing Industry. Industrial Management Journal, 16(3), 398-425. (in Persian)

Mohammadi, T., Sajadi, S. M., Najafi, S. E. & Taghizadeh Yazdi, M. (2022). Optimizing Smart Supply Chain with Vendor Managed Inventory through the Internet of Things. Industrial Management Journal, 14(3), 458-483. doi: 10.22059/imj.2022.343552.1007948
 (in Persian)

Nakasumi, M., (2017). July. Information sharing for supply chain management is based on blockchain technology. In 2017 IEEE 19th conference on business informatics (CBI) 1, 140-149.

Neuhofer, B., Buhalis, D. & Ladkin, A. (2015). Smart technologies for personalized experiences: a case study in the hospitality domain. Electronic Markets, 25, 243-254.‏

Poushter, J. (2016). Smartphone ownership and internet usage continues to climb in emerging economies. Pew research center, 22(1), 1-44.‏

Prakash, R., Anoop, V. S. & Asharaf, S. (2022). Blockchain technology for cybersecurity: A text mining literature analysis. International Journal of Information Management Data Insights, 2(2).

Ranjbar T., Mojaverian S.M., Amiri Raftani Z., Shirzadi Laskoukelayeh S., and Eshghi F. (2022). Ranking of Important Indicators of Blockchain Technology for the Vegetable Oil Supply Chain. Journal of Agricultural Economics & Development, 36(2), 169-182.
(in Persian)

Sardar, S.K., Sarkar, B. & Kim, B. (2021). Integrating machine learning, radio frequency identification, and consignment policy for reducing unreliability in smart supply chain Management, 9(2), 1–16. DOI: 10.3390/pr9020247.

Sharma, P.K., Kumar, N., Park, J.H. (2018). Blockchain-based distributed framework for automotive industry in a smart city. IEEE Trans. Ind. Inf. 15 (7), 4197–4205.

Shen, S., Sotiriadis, M. & Zhang, Y. (2020). The influence of smart technologies on customer journey in tourist attractions within the smart tourism management framework. Sustainability, 12(10), 4157.‏

Skilton, P. & Robinson, J. (2009). Traceability and normal accident theory: How does supply network complexity influence the traceability of adverse events? Journal of Supply Chain Management, 45(3), 40–53. https:// doi.org/10.1111/j.1745-493X.2009.03170.x

Solfa, F.D.G. (2022). Impacts of cyber security and supply chain risk on digital operations: evidence from the pharmaceutical industry. International Journal of Technology, Innovation and Management (IJTIM), 2(2), 18–32.

Statista (2020). Size of the blockchain technology market worldwide from 2018 to 2025. https://www.statista.com/statistics/647231/worldwide-blockchain-technology-market-size/

Tandon, A., Kaur, P., Mäntymäki, M. & Dhir, A. (2021). Blockchain applications in management: A bibliometric analysis and literature review. Technological Forecasting and Social Change, 166, 120649.

Terry, Q. & Keeney, S. (2022). The metaverse handbook: Innovating for the internet's next tectonic shift. John Wiley & Sons.‏

Vaigandla, K. K., Karne, R., Siluveru, M. & Kesoju, M. (2023). Review on Blockchain Technology: Architecture, Characteristics, Benefits, Algorithms, Challenges and Applications. Mesopotamian Journal of CyberSecurity, 73–85.

Valipour Parkouhi, S., Safaei Ghadikolaei, A. & Fallah Lajimi, H. (2023). Classification of Critical Success Factors in Smart Manufacturing Implementation from the Perspective of Stakeholders and Components of Technology: A Systematic Literature Review. Industrial Management Journal, 15(2), 180-222. doi: 10.22059/imj.2023.338189.1007917 (in Persian)

Verhoeven, P., Sinn, F. & Herden, T. (2018) Examples from blockchain implementations in logistics and supply chain management: Exploring the mindful use of a new technology. Logistics 2(3), 20. https://doi.org/10.3390/logistics2030020

Westerkamp, M., Victor, F. & Küpper, A. (2019). Tracing manufacturing processes using blockchain-based token compositions. Digital Commun. Networks.

Yahyai, ​​K. & Kalashmi, M. (2024). Evaluation of the effective drivers in the use of blockchain technology in the rice supply chain. Agricultural Economics and Markets, 1(2), 100-89. (in Persian)

Zheng, K., Zhang, Z., Chen, Y., Wu, J. (2019). Blockchain adoption for information sharing: risk decision-making in spacecraft supply chain. Enterprise Information Systems, 15(8), 1070-1091.

Zhou, X., Zhu, Q. & Xu, Z. (2022). The mediating role of supply chain quality management for traceability and performance improvement: Evidence among Chinese food firms. International Journal of Production Economics, 254, 108630. https://doi.org/10.1016/j.ijpe.2022.108630

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