دانشگاه علامه طباطبایی

  اخبار و اعلانات

 آمار

تعداد نشریات62
تعداد شماره‌ها2,323
تعداد مقالات19,161
تعداد مشاهده مقاله61,614,262
تعداد دریافت فایل اصل مقاله31,238,245
سینائی, سید صبا, امیری, مقصود, الفت, لعیا, یوسفلی, امیر. (1404). تحلیل حوزه‌ها و روندهای پژوهشی در زنجیره تأمین دیجیتال. سامانه مدیریت نشریات علمی, 14(54), 217-282. doi: 10.22054/ims.2025.86061.2621
سید صبا سینائی; مقصود امیری; لعیا الفت; امیر یوسفلی. "تحلیل حوزه‌ها و روندهای پژوهشی در زنجیره تأمین دیجیتال". سامانه مدیریت نشریات علمی, 14, 54, 1404, 217-282. doi: 10.22054/ims.2025.86061.2621
سینائی, سید صبا, امیری, مقصود, الفت, لعیا, یوسفلی, امیر. (1404). 'تحلیل حوزه‌ها و روندهای پژوهشی در زنجیره تأمین دیجیتال', سامانه مدیریت نشریات علمی, 14(54), pp. 217-282. doi: 10.22054/ims.2025.86061.2621
سینائی, سید صبا, امیری, مقصود, الفت, لعیا, یوسفلی, امیر. تحلیل حوزه‌ها و روندهای پژوهشی در زنجیره تأمین دیجیتال. سامانه مدیریت نشریات علمی, 1404; 14(54): 217-282. doi: 10.22054/ims.2025.86061.2621

تحلیل حوزه‌ها و روندهای پژوهشی در زنجیره تأمین دیجیتال

مطالعات مدیریت کسب و کار هوشمند
مقاله 6، دوره 14، شماره 54، دی 1404، صفحه 217-282    اصل مقاله (2.32 M)
نوع مقاله: مقاله پژوهشی
شناسه دیجیتال (DOI): 10.22054/ims.2025.86061.2621
نویسندگان
سید صبا سینائی1؛ مقصود امیری* 2؛ لعیا الفت3؛ امیر یوسفلی4
1دانشجوی دکتری مدیریت صنعتی گرایش تولید و عملیات، گروه مدیریت عملیات و فناوری اطلاعات، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبائی، تهران، ایران
2استاد گروه مدیریت عملیات و فناوری اطلاعات، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبائی، تهران، ایران نویسنده مسئول: amiri@atu.ac.ir
3استاد گروه مدیریت عملیات و فناوری اطلاعات ، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبائی، تهران، ایران
4دانشیار گروه مهندسی صنایع، دانشکده مهندسی، دانشگاه زنجان، زنجان، ایران
چکیده
در سال‌های اخیر، تحولات دیجیتال تأثیر چشم‌گیری بر فرآیندهای زنجیره تأمین داشته‌اند و موجب گسترش دامنه تحقیقات در این زمینه شده‌ است. شناخت حوزه ها، موضوعات جدید و روند تحقیقاتی زمینه زنجیره تامین دیجیتال می تواند کمک شایانی به پژوهشگران این حوزه نماید. پژوهش حاضر به‌منظور شفاف‌سازی ساختار مفهومی زنجیره تأمین دیجیتال و شناسایی روندهای پژوهشی و حوزه‌های کلیدی مرتبط انجام شد. در این راستا، با استفاده از مرور نظام‌مند ادبیات مقالات علمی نمایه‌شده در پایگاه‌های معتبر گردآوری شدند. پس از غربالگری اولیه و اعمال معیارهای مشخص، مجموعه نهایی مشتمل بر مقالات منتخب استخراج گردید و سپس با استفاده از تحلیل کتاب‌سنجی و تکنیک‌هایی مانند تحلیل هم‌رخدادی و تحلیل زوج‌کتاب‌شناختی مورد بررسی قرار گرفت. نتایج نشان داد که پژوهش‌ها در حوزه زنجیره تأمین دیجیتال به تدریج رشد یافته و تمرکز بر فناوری‌هایی همچون اینترنت اشیا، بلاک‌چین و هوش مصنوعی و همچنین مباحث مرتبط با پایداری، تاب‌آوری و همکاری دیجیتال افزایش یافته است. هشت خوشه مفهومی مشخص در این حوزه شناسایی گردید که نشان‌دهنده ابعاد فنی، عملیاتی، سازمانی و انسانی زنجیره تأمین دیجیتال بودند. نوآوری این پژوهش در ترکیب تحلیل کتاب‌سنجی با مرور نظام‌مند و بررسی ۴۲۵ مقاله، به شناسایی خوشه‌های مفهومی جدید و ارائه تصویری جامع‌تر از ابعاد فناورانه، سازمانی و انسانی زنجیره تأمین دیجیتال انجامیده است. در مجموع، نتایج این مطالعه ضمن ارائه درک بهتری از روندهای پژوهشی، چارچوبی جامع برای پژوهشگران، سیاست‌گذاران و مدیران صنعت فراهم نمود تا جهت‌گیری‌های پژوهشی و کاربردی آینده خود را دقیق‌تر تنظیم نمایند.
کلیدواژه‌ها
زنجیره تأمین دیجیتال؛ صنعت ۴.۰؛ مرور نظام‌مند؛ تحلیل کتاب‌سنجی؛ هم رخدادی کلمات کلیدی
مراجع
  1. امیری، مقصود، حسینی دهشیری، سید جلال الدین و یوسفی هنومرور، احمد (1397). تعیین ترکیب بهینه استراتژی‌های زنجیره تأمین لارج با بهره‌گیری از تحلیل SWOT، تکنیک های تصمیم گیری چندمعیاره و تئوری بازی. فصلنامه مدیریت صنعتی، 10(2)، 221-246.
  2. شریفی، وحید، هاشم زاده خوراسگانی، غلامرضا، درخشان، سید علیرضا، شاه منصوری، اشرف و علیرضایی، ابو تراب (1402). شناسایی حوزه‌ها و روندهای پژوهشی پارادایم تولید اجتماعی. مطالعات مدیریت کسب و کار هوشمند، 12(46)، 81-120.
  3. ماه آورپور، فهیمه، فیض، داود و ملکی مین باش رزگاه، مرتضی (1403). نقش فناوری واقعیت افزوده در تکامل بازاریابی: یک مطالعه مرورسیستماتیک و تحلیل بیبلیومتریک. مطالعات مدیریت کسب و کار هوشمند، 13(49)، 157-119.
  4. موسوی، پریسا، صالحان، علیرضا و یوسفی زنوز، رضا . (1401). شناسایی و بررسی حوزه‌ها و روندهای پژوهشی فناوری بلاک‌چین. مطالعات مدیریت کسب و کار هوشمند، 10(39)، 127-162.
  5. یالپانیان، محمد‌امین، رئیسی وانانی، ایمان و تقوی فرد، محمد تقی (1403). تحلیل تاثیر فناوری‌های تحول دیجیتال بر بهبود عملکرد کسب و کار با استفاده از روش‌های تحلیل پیشرفته متن. مطالعات مدیریت کسب و کار هوشمند، 13(49)، 207-253.
References

  1. Addo-Tenkorang, R., & Helo, P. T. (2016). Big data applications in operations/supply-chain management: A literature review. Computers & Industrial Engineering, 101, 528-543.
  2. Affia, I., & Aamer, A. (2022). An internet of things-based smart warehouse infrastructure: design and application. Journal of Science and Technology Policy Management, 13(1), 90-109.
  3. Agrawal, P., & Narain, R. (2023). Analysis of enablers for the digitalization of supply chain using an interpretive structural modelling approach. International Journal of Productivity and Performance Management, 72(2), 410-439.
  4. Ahmad Amouei, M., Valmohammadi, C., & Fathi, K. (2024). Proposing a conceptual model of the sustainable digital supply chain in manufacturing companies: a qualitative approach. Journal of Enterprise Information Management, 37(2), 544-579.
  5. Al-Banna, A., Yaqot, M., & Menezes, B. (2023). Roadmap to digital supply chain resilience under investment constraints. Production & Manufacturing Research, 11(1), 2194943.
  6. Albqowr, A., Alsharairi, M., & Alsoussi, A. (2024). Big data analytics in supply chain management: a systematic literature review. VINE Journal of Information and Knowledge Management Systems, 54(3), 657-682.
  7. Ali, I., & Aboelmaged, M. G. S. (2022). Implementation of supply chain 4.0 in the food and beverage industry: perceived drivers and barriers. International Journal of Productivity and Performance Management, 71(4), 1426-1443.
  8. Alzarooni, A. M., Khan, S. A., Gunasekaran, A., & Mubarik, M. S. (2022). Enablers for digital supply chain transformation in the service industry. Annals of Operations Research, 1-25.
  9. Antony, J., Sony, M., McDermott, O., Jayaraman, R., & Flynn, D. (2023). An exploration of organizational readiness factors for Quality 4.0: an intercontinental study and future research directions. International Journal of Quality & Reliability Management, 40(2), 582-606.
  10. Aryal, A., Liao, Y., Nattuthurai, P., & Li, B. (2018). The emerging big data analytics and IoT in supply chain management: a systematic review. Supply Chain Management: An International Journal, 25(2), 141-156.
  11. Asdecker, B., & Felch, V. (2018). Development of an Industry 4.0 maturity model for the delivery process in supply chains. Journal of Modelling in Management, 13(4), 840-883.
  12. Attaran, M. (2020, July). Digital technology enablers and their implications for supply chain management. In Supply Chain Forum: An International Journal(Vol. 21, No. 3, pp. 158-172). Taylor & Francis.
  13. Barata, J. (2021). The fourth industrial revolution of supply chains: A tertiary study. Journal of Engineering and Technology Management, 60, 101624.
  14. Benatiya Andaloussi, M. (2024). A Bibliometric Literature Review of Digital Supply Chain: Trends, Insights, and Future Directions. SAGE Open, 14(2), 21582440241240340.
  15. 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.
  16. Benotmane, M., Elhari, K., & Kabbaj, A. (2023). A review & analysis of current IoT maturity & readiness models and novel proposal. Scientific African, 21, e01748.
  17. Bhandal, R., Meriton, R., Kavanagh, R. E., & Brown, A. (2022). The application of digital twin technology in operations and supply chain management: a bibliometric review. Supply Chain Management: An International Journal, 27(2), 182-206.
  18. Bienhaus, F., & Haddud, A. (2018). Procurement 4.0: factors influencing the digitisation of procurement and supply chains. Business Process Management Journal, 24(4), 965-984.
  19. Brau, R., Aloysius, J., & Siemsen, E. (2023). Demand planning for the digital supply chain: How to integrate human judgment and predictive analytics. Journal of operations management, 69(6), 965-982.
  20. Büyüközkan, G., & Göçer, F. (2018). Digital Supply Chain: Literature review and a proposed framework for future research. Computers in industry, 97, 157-177.
  21. Castelo-Branco, I., Cruz-Jesus, F., & Oliveira, T. (2019). Assessing Industry 4.0 readiness in manufacturing: Evidence for the European Union. Computers in Industry, 107, 22-32.
  22. Caviggioli, F., & Ughetto, E. (2019). A bibliometric analysis of the research dealing with the impact of additive manufacturing on industry, business and society. International journal of production economics, 208, 254-268.
  23. Chauhan, C., & Singh, A. (2019). A review of Industry 4.0 in supply chain management studies. Journal of Manufacturing Technology Management, 31(5), 863-886.
  24. Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., & Yin, B. (2017). Smart factory of industry 4.0: Key technologies, application case, and challenges. Ieee Access, 6, 6505-6519.
  25. Čolaković, A., Đorđević, A., Cvetić, B., Danilović, M., & Vasiljević, D. (2023). Traditional vs Digital Supply Chains. In 7th International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture–ITEMA 2023–Conference Proceedings, ISBN 978-86-80194-75-2, ISSN 2683-5991.
  26. Corallo, A., Crespino, A. M., Lazoi, M., & Lezzi, M. (2022). Model-based Big Data Analytics-as-a-Service framework in smart manufacturing: A case study. Robotics and Computer-Integrated Manufacturing, 76, 102331.
  27. Culot, G., Orzes, G., Sartor, M., & Nassimbeni, G. (2020). The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0. Technological forecasting and social change, 157, 120092.
  28. Deepu, T. S., & Ravi, V. (2023). A review of literature on implementation and operational dimensions of supply chain digitalization: Framework development and future research directions. International Journal of Information Management Data Insights, 3(1), 100156.
  29. Dehshiri, S. J. H. (2025). An integrated decision-making framework for evaluating Industry 5.0 and circular economy in supply chain management using Z-numbers. Applied Soft Computing, 113504.
  30. Dixit, V. K., Malviya, R. K., Kumar, V., & Shankar, R. (2024). An analysis of the strategies for overcoming digital supply chain implementation barriers. Decision Analytics Journal, 10, 100389.
  31. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of business research, 133, 285-296.
  32. Dubey, R., Bryde, D. J., Dwivedi, Y. K., Graham, G., Foropon, C., & Papadopoulos, T. (2023). Dynamic digital capabilities and supply chain resilience: The role of government effectiveness. International Journal of Production Economics, 258, 108790.
  33. Dwivedi, A., & Paul, S. K. (2022). A framework for digital supply chains in the era of circular economy: Implications on environmental sustainability. Business strategy and the environment, 31(4), 1249-1274.
  34. Facchini, F., Oleśków-Szłapka, J., Ranieri, L., & Urbinati, A. (2019). A maturity model for logistics 4.0: An empirical analysis and a roadmap for future research. Sustainability, 12(1), 86.
  35. Farajpour, F., Hassanzadeh, A., Elahi, S., & Ghazanfari, M. (2022). Digital supply chain blueprint via a systematic literature review. Technological Forecasting and Social Change, 184, 121976.
  36. Fatorachian, H., & Kazemi, H. (2018). A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework. Production Planning & Control, 29(8), 633-644.
  37. Feng, B., & Ye, Q. (2021). Operations management of smart logistics: A literature review and future research. Frontiers of Engineering Management, 8, 344-355.
  38. Frazzon, E. M., Rodriguez, C. M. T., Pereira, M. M., Pires, M. C., & Uhlmann, I. (2019). Towards supply chain management 4.0. Brazilian Journal of Operations & Production Management, 16(2), 180-191.
  39. Frederico, G. F., Garza-Reyes, J. A., Anosike, A., & Kumar, V. (2019). Supply Chain 4.0: concepts, maturity and research agenda. Supply Chain Management: An International Journal, 25(2), 262-282.
  40. Gagliardi, A. R., Festa, G., Usai, A., Dell'Anno, D., & Rossi, M. (2023). The impact of knowledge management on the digital supply chain–a bibliometric literature review. International Journal of Physical Distribution & Logistics Management, 53(5/6), 612-627.
  41. Garay-Rondero, C. L., Martinez-Flores, J. L., Smith, N. R., Morales, S. O. C., & Aldrette-Malacara, A. (2020). Digital supply chain model in Industry 4.0. Journal of Manufacturing Technology Management, 31(5), 887-933.
  42. Ge, J., Wang, F., Sun, H., Fu, L., & Sun, M. (2020). Research on the maturity of big data management capability of intelligent manufacturing enterprise. Systems Research and Behavioral Science, 37(4), 646-662.
  43. Ghobakhloo, M. (2018). The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of manufacturing technology management, 29(6), 910-936.
  44. Golovianko, M., Terziyan, V., Branytskyi, V., & Malyk, D. (2023). Industry 4.0 vs. Industry 5.0: Co-existence, transition, or a hybrid. Procedia Computer Science, 217, 102-113.
  45. Govindan, K., Jain, P., Singh, R. K., & Mishra, R. (2024). Blockchain technology as a strategic weapon to bring procurement 4.0 truly alive: Literature review and future research agenda. Transportation Research Part E: Logistics and Transportation Review, 181, 103352.
  46. Gupta, S., Modgil, S., Gunasekaran, A., & Bag, S. (2020, July). Dynamic capabilities and institutional theories for Industry 4.0 and digital supply chain. In Supply Chain Forum: An International Journal(Vol. 21, No. 3, pp. 139-157). Taylor & Francis.
  47. Hallikas, J., Immonen, M., & Brax, S. (2021). Digitalizing procurement: the impact of data analytics on supply chain performance. Supply Chain Management: An International Journal, 26(5), 629-646.
  48. Hashem, G., Aboelmaged, M., & Ahmad, I. (2024). Proactiveness, knowledge management capability and innovation ambidexterity: an empirical examination of digital supply chain adoption. Management Decision, 62(1), 129-162.
  49. Hassan, M. A., Zardari, S., Farooq, M. U., Alansari, M. M., & Nagro, S. A. (2024). Systematic analysis of risks in industry 5.0 architecture. Applied Sciences, 14(4), 1466.
  50. Helo, P., & Thai, V. V. (2024). Logistics 4.0–digital transformation with smart connected tracking and tracing devices. International Journal of Production Economics, 275, 109336.
  51. Hughes, L., Dwivedi, Y. K., Rana, N. P., Williams, M. D., & Raghavan, V. (2022). Perspectives on the future of manufacturing within the Industry 4.0 era. Production Planning & Control, 33(2-3), 138-158.
  52. Ivanov, D. (2024). Conceptualisation of a 7-element digital twin framework in supply chain and operations management. International Journal of Production Research, 62(6), 2220-2232.
  53. Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775-788.
  54. Jiang, J. R. (2018). An improved cyber-physical systems architecture for Industry 4.0 smart factories. Advances in Mechanical Engineering, 10(6), 1687814018784192.
  55. Kabra, G., Ramesh, A., Jain, V., & Akhtar, P. (2023). Barriers to information and digital technology adoption in humanitarian supply chain management: a fuzzy AHP approach. Journal of Enterprise Information Management, 36(2), 505-527.
  56. Kang, H. S., Lee, J. Y., Choi, S., Kim, H., Park, J. H., Son, J. Y., ... & Noh, S. D. (2016). Smart manufacturing: Past research, present findings, and future directions. International journal of precision engineering and manufacturing-green technology, 3, 111-128.
  57. Karmaker, C. L., Al Aziz, R., Ahmed, T., Misbauddin, S. M., & Moktadir, M. A. (2023). Impact of industry 4.0 technologies on sustainable supply chain performance: The mediating role of green supply chain management practices and circular economy. Journal of Cleaner Production, 419, 138249.
  58. Khatib, E. J., & Barco, R. (2021). Optimization of 5G networks for smart logistics. Energies, 14(6), 1758.
  59. Khourshed, N. F., Elbarky, S. S., & Elgamal, S. (2023). Investigating the readiness factors for industry 4.0 implementation for manufacturing industry in Egypt. Sustainability, 15(12), 9641.
  60. Kotsiopoulos, T., Sarigiannidis, P., Ioannidis, D., & Tzovaras, D. (2021). Machine learning and deep learning in smart manufacturing: The smart grid paradigm. Computer Science Review, 40, 100341.
  61. Kumar, R., Kumar, P., Singh, R. K., Vaish, A., & Sharma, G. (2024). A framework for evaluating the barriers to adopting Industry 4.0 in Indian SMEs: an approach of best-worst method. Journal of Management Analytics, 11(4), 705-737.
  62. Kumar, V., Vrat, P., & Shankar, R. (2021). Prioritization of strategies to overcome the barriers in Industry 4.0: a hybrid MCDM approach. Opsearch, 1-40.
  63. Kusiak, A. (2018). Smart manufacturing. International journal of production Research, 56(1-2), 508-517.
  64. Lee, K. L., Teong, C. X., Alzoubi, H. M., Alshurideh, M. T., Khatib, M. E., & Al-Gharaibeh, S. M. (2024). Digital supply chain transformation: The role of smart technologies on operational performance in manufacturing industry. International Journal of Engineering Business Management, 16, 18479790241234986.
  65. Lim, W. M., Kumar, S., & Donthu, N. (2024). How to combine and clean bibliometric data and use bibliometric tools synergistically: Guidelines using metaverse research. Journal of Business Research, 182, 114760.
  66. Lin, H., Lin, J., & Wang, F. (2022). An innovative machine learning model for supply chain management. Journal of Innovation & Knowledge, 7(4), 100276.
  67. Lin, T. C., Wang, K. J., & Sheng, M. L. (2020). To assess smart manufacturing readiness by maturity model: A case study on Taiwan enterprises. International Journal of Computer Integrated Manufacturing, 33(1), 102-115.
  68. Liu, C., Ji, H., & Wei, J. (2022). Smart supply chain risk assessment in intelligent manufacturing. Journal of computer information systems, 62(3), 609-621.
  69. Ma, L., & Chang, R. (2024). How big data analytics and artificial intelligence facilitate digital supply chain transformation: the role of integration and agility. Management Decision.
  70. Mabkhot, M. M., Al-Ahmari, A. M., Salah, B., & Alkhalefah, H. (2018). Requirements of the smart factory system: A survey and perspective. Machines, 6(2), 23.
  71. Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2018). A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs). Journal of manufacturing systems, 49, 194-214.
  72. Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2019). Smart manufacturing: Characteristics, technologies and enabling factors. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 233(5), 1342-1361.
  73. Müßigmann, B., von der Gracht, H., & Hartmann, E. (2020). Blockchain technology in logistics and supply chain management—A bibliometric literature review from 2016 to January 2020. IEEE transactions on engineering management, 67(4), 988-1007.
  74. Nasiri, M., Ukko, J., Saunila, M., & Rantala, T. (2020). Managing the digital supply chain: The role of smart technologies. Technovation, 96, 102121.
  75. Pacchini, A. P. T., Lucato, W. C., Facchini, F., & Mummolo, G. (2019). The degree of readiness for the implementation of Industry 4.0. Computers in industry, 113, 103125.
  76. Pandey, S., Singh, R. K., & Gunasekaran, A. (2023). Supply chain risks in Industry 4.0 environment: review and analysis framework. Production Planning & Control, 34(13), 1275-1302.
  77. Patil, A., Shardeo, V., Dwivedi, A., & Paul, S. K. (2023). An integrated framework for digitalization of humanitarian supply chains in post COVID-19 era. International Journal of Disaster Risk Reduction, 87, 103574.
  78. Rahamneh, A., Alrawashdeh, S., Bawaneh, A., Alatyat, Z., Mohammad, A., & Al-Hawary, S. (2023). The effect of digital supply chain on lean manufacturing: A structural equation modelling approach. Uncertain Supply Chain Management, 11(1), 391-402.
  79. Raj, A., Dwivedi, G., Sharma, A., de Sousa Jabbour, A. B. L., & Rajak, S. (2020). Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective. International Journal of Production Economics, 224, 107546.
  80. Rashid, A., Rasheed, R., Ngah, A. H., Pradeepa Jayaratne, M. D. R., Rahi, S., & Tunio, M. N. (2024). Role of information processing and digital supply chain in supply chain resilience through supply chain risk management. Journal of Global Operations and Strategic Sourcing, 17(2), 429-447.
  81. Rasool, F., Greco, M., & Grimaldi, M. (2022). Digital supply chain performance metrics: a literature review. Measuring Business Excellence, 26(1), 23-38.
  82. Rauniyar, K., Wu, X., Gupta, S., Modgil, S., & Kumar, A. (2024). Digitizing global supply chains through blockchain. Production Planning & Control, 35(16), 2327-2348.
  83. Rejeb, A., Keogh, J. G., Leong, G. K., & Treiblmaier, H. (2021). Potentials and challenges of augmented reality smart glasses in logistics and supply chain management: a systematic literature review. International Journal of Production Research, 59(12), 3747-3776.
  84. Rejeb, A., Simske, S., Rejeb, K., Treiblmaier, H., & Zailani, S. (2020). Internet of Things research in supply chain management and logistics: A bibliometric analysis. Internet of Things, 12, 100318.
  85. Riahi, Y., Saikouk, T., Gunasekaran, A., & Badraoui, I. (2021). Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions. Expert systems with applications, 173, 114702.
  86. Richey Jr, R. G., Chowdhury, S., Davis‐Sramek, B., Giannakis, M., & Dwivedi, Y. K. (2023). Artificial intelligence in logistics and supply chain management: A primer and roadmap for research. Journal of Business Logistics, 44(4), 532-549.
  87. Rizqi, Z. U., Chou, S. Y., & Cahyo, W. N. (2024). A simulation-based Digital Twin for smart warehouse: Towards standardization. Decision Analytics Journal, 12, 100509.
  88. 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.
  89. Sahara, C. R., & Aamer, A. M. (2023). Real-time data integration of an internet-of-things-based smart warehouse: a case study. International Journal of Pervasive Computing and Communications, 18(5), 622-644.
  90. Samaranayake, P., Laosirihongthong, T., Adebanjo, D., & Boon-itt, S. (2023). Prioritising enabling factors of Internet of things (IoT) adoption in digital supply chain. International Journal of Productivity and Performance Management, 72(10), 3095-3118.
  91. Schwab, K. (2017). The Fourth Industrial Revolution, Crown Business, New York. The smart-up ecosystem: Turning Open Innovation into smart business.
  92. Senna, P. P., Ferreira, L. M. D., Barros, A. C., Roca, J. B., & Magalhães, V. (2022). Prioritizing barriers for the adoption of Industry 4.0 technologies. Computers & Industrial Engineering, 171, 108428.
  93. Shi, Z., Xie, Y., Xue, W., Chen, Y., Fu, L., & Xu, X. (2020). Smart factory in Industry 4.0. Systems Research and Behavioral Science, 37(4), 607-617.
  94. Shukla, M., & Shankar, R. (2024). Readiness assessment for smart manufacturing system implementation: multiple case of Indian small and medium enterprises. International Journal of Computer Integrated Manufacturing, 37(1-2), 224-242.
  95. Song, Y., Yu, F. R., Zhou, L., Yang, X., & He, Z. (2020). Applications of the Internet of Things (IoT) in smart logistics: A comprehensive survey. IEEE Internet of Things Journal, 8(6), 4250-4274.
  96. Sundarakani, B., Manikas, I., & Gunasekaran, A. (2024). The role of digital transformation in achieving sustainable supply chain management in Industry 4.0: an editorial review perspective. International Journal of Logistics Research and Applications, 27(6), 843-851.
  97. Taj, S., Imran, A. S., Kastrati, Z., Daudpota, S. M., Memon, R. A., & Ahmed, J. (2023). IoT-based supply chain management: A systematic literature review. Internet of Things, 24, 100982.
  98. Tavana, M., Shaabani, A., Raeesi Vanani, I., & Kumar Gangadhari, R. (2022). A review of digital transformation on supply chain process management using text mining. Processes, 10(5), 842.
  99. Viale, L., & Zouari, D. (2020, July). Impact of digitalization on procurement: the case of robotic process automation. In Supply Chain Forum: An International Journal(Vol. 21, No. 3, pp. 185-195). Taylor & Francis.
  100. Wang, B., Tao, F., Fang, X., Liu, C., Liu, Y., & Freiheit, T. (2021). Smart manufacturing and intelligent manufacturing: A comparative review. Engineering, 7(6), 738-757.
  101. Webster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. MIS quarterly, xiii-xxiii.
  102. Wu, L., Yue, X., Jin, A., & Yen, D. C. (2016). Smart supply chain management: a review and implications for future research. The international journal of logistics management, 27(2), 395-417.
  103. Xie, Y., Yin, Y., Xue, W., Shi, H., & Chong, D. (2020). Intelligent supply chain performance measurement in Industry 4.0. Systems Research and Behavioral Science, 37(4), 711-718.
  104. Yadav, S., & Singh, S. P. (2022). Modelling procurement problems in the environment of blockchain technology. Computers & Industrial Engineering, 172, 108546.
  105. Ye, F., Liu, K., Li, L., Lai, K. H., Zhan, Y., & Kumar, A. (2022). Digital supply chain management in the COVID-19 crisis: An asset orchestration perspective. International Journal of Production Economics, 245, 108396.
  106. Younis, H., & Wuni, I. Y. (2023). Application of industry 4.0 enablers in supply chain management: Scientometric analysis and critical review. Heliyon, 9(11).
  107. Zekhnini, K., Cherrafi, A., Bouhaddou, I., Benghabrit, Y., & Garza-Reyes, J. A. (2021). Supply chain management 4.0: a literature review and research framework. Benchmarking: An International Journal, 28(2), 465-501.
  108. Zhang, S., Yu, Q., Wan, S., Cao, H., & Huang, Y. (2024). Digital supply chain: literature review of seven related technologies. Manufacturing Review, 11, 8.
  109. Zoubek, M., & Simon, M. (2021). Evaluation of the level and readiness of internal logistics for industry 4.0 in industrial companies. Applied Sciences, 11(13), 6130.
  110. Zrelli, I., & Rejeb, A. (2024). A bibliometric analysis of IoT applications in logistics and supply chain management. Heliyon, 10(16).
  111. Zulfiqar, M., Antony, J., Swarnakar, V., Sony, M., Jayaraman, R., & McDermott, O. (2023). A readiness assessment of Quality 4.0 in packaging companies: an empirical investigation. Total Quality Management & Business Excellence, 34(11-12), 1334-1352.
 

References [In Persian]

  1. Amiri, M., Hosseini Dehshiri, S. J., & Yousefi Hanoomarvar, A. (2018). Determining the optimal combination of LARG supply chain strategies using SWOT analysis, multi-criteria decision-making techniques and game theory. Industrial Management Journal, 10(2), 221-246.
  2. Mahavarpour, F., Feiz, D., Maleki MinBash Razgah, M. (2024). Augmented Reality Technology in Marketing’s Evolution: A systematic Review Study and Bibliometric Analysis, Journal of Business Intelligence Management Studies, 13(49), 119-157. DOI: 10.22054/ims.2024.77226.2416
  3. Mousavi, P., Salehan, A., Yousefi Zenouz, R. (2022). Identifying the Research Trends and Subfields of Block chain Technology, Journal of Business Intelligence Management Studies, 10(39), 163-195.
  4. Sharifi, V., Hashemzadeh, Gh., Derakhshan, A., Shahmansouri, A., Alirezaee, A. (2024). Identifying The Research Trends And Subfields Of The Social Manufacturing Paradigm, Journal of Business Intelligence Management Studies, 12(46), 81-120.
  5. Yalpanian, M. A., Raeesi Vanani, I., Taghavifard, M. T. (2024). Analyzing the Impact of Digital Transformation Technologies on Business Performance Improvement Using Advanced Text Analytics Methods, Journal of Business Intelligence Management Studies, 13(49), 207-253. DOI: 10.22054/IMS.2024.77611.2421.
 

 

 

 

 

 

 

 

 

 استناد به این مقاله: سینائی، سید صبا.، امیری، مقصود.، الفت، لعیا.، یوسفلی، امیر. (1404).  تحلیل حوزه‌ها و روندهای پژوهشی در زنجیره

  1. امیری، مقصود، حسینی دهشیری، سید جلال الدین و یوسفی هنومرور، احمد (1397). تعیین ترکیب بهینه استراتژی‌های زنجیره تأمین لارج با بهره‌گیری از تحلیل SWOT، تکنیک های تصمیم گیری چندمعیاره و تئوری بازی. فصلنامه مدیریت صنعتی، 10(2)، 221-246.
  2. شریفی، وحید، هاشم زاده خوراسگانی، غلامرضا، درخشان، سید علیرضا، شاه منصوری، اشرف و علیرضایی، ابو تراب (1402). شناسایی حوزه‌ها و روندهای پژوهشی پارادایم تولید اجتماعی. مطالعات مدیریت کسب و کار هوشمند، 12(46)، 81-120.
  3. ماه آورپور، فهیمه، فیض، داود و ملکی مین باش رزگاه، مرتضی (1403). نقش فناوری واقعیت افزوده در تکامل بازاریابی: یک مطالعه مرورسیستماتیک و تحلیل بیبلیومتریک. مطالعات مدیریت کسب و کار هوشمند، 13(49)، 157-119.
  4. موسوی، پریسا، صالحان، علیرضا و یوسفی زنوز، رضا . (1401). شناسایی و بررسی حوزه‌ها و روندهای پژوهشی فناوری بلاک‌چین. مطالعات مدیریت کسب و کار هوشمند، 10(39)، 127-162.
  5. یالپانیان، محمد‌امین، رئیسی وانانی، ایمان و تقوی فرد، محمد تقی (1403). تحلیل تاثیر فناوری‌های تحول دیجیتال بر بهبود عملکرد کسب و کار با استفاده از روش‌های تحلیل پیشرفته متن. مطالعات مدیریت کسب و کار هوشمند، 13(49)، 207-253.
References

  1. Addo-Tenkorang, R., & Helo, P. T. (2016). Big data applications in operations/supply-chain management: A literature review. Computers & Industrial Engineering, 101, 528-543.
  2. Affia, I., & Aamer, A. (2022). An internet of things-based smart warehouse infrastructure: design and application. Journal of Science and Technology Policy Management, 13(1), 90-109.
  3. Agrawal, P., & Narain, R. (2023). Analysis of enablers for the digitalization of supply chain using an interpretive structural modelling approach. International Journal of Productivity and Performance Management, 72(2), 410-439.
  4. Ahmad Amouei, M., Valmohammadi, C., & Fathi, K. (2024). Proposing a conceptual model of the sustainable digital supply chain in manufacturing companies: a qualitative approach. Journal of Enterprise Information Management, 37(2), 544-579.
  5. Al-Banna, A., Yaqot, M., & Menezes, B. (2023). Roadmap to digital supply chain resilience under investment constraints. Production & Manufacturing Research, 11(1), 2194943.
  6. Albqowr, A., Alsharairi, M., & Alsoussi, A. (2024). Big data analytics in supply chain management: a systematic literature review. VINE Journal of Information and Knowledge Management Systems, 54(3), 657-682.
  7. Ali, I., & Aboelmaged, M. G. S. (2022). Implementation of supply chain 4.0 in the food and beverage industry: perceived drivers and barriers. International Journal of Productivity and Performance Management, 71(4), 1426-1443.
  8. Alzarooni, A. M., Khan, S. A., Gunasekaran, A., & Mubarik, M. S. (2022). Enablers for digital supply chain transformation in the service industry. Annals of Operations Research, 1-25.
  9. Antony, J., Sony, M., McDermott, O., Jayaraman, R., & Flynn, D. (2023). An exploration of organizational readiness factors for Quality 4.0: an intercontinental study and future research directions. International Journal of Quality & Reliability Management, 40(2), 582-606.
  10. Aryal, A., Liao, Y., Nattuthurai, P., & Li, B. (2018). The emerging big data analytics and IoT in supply chain management: a systematic review. Supply Chain Management: An International Journal, 25(2), 141-156.
  11. Asdecker, B., & Felch, V. (2018). Development of an Industry 4.0 maturity model for the delivery process in supply chains. Journal of Modelling in Management, 13(4), 840-883.
  12. Attaran, M. (2020, July). Digital technology enablers and their implications for supply chain management. In Supply Chain Forum: An International Journal(Vol. 21, No. 3, pp. 158-172). Taylor & Francis.
  13. Barata, J. (2021). The fourth industrial revolution of supply chains: A tertiary study. Journal of Engineering and Technology Management, 60, 101624.
  14. Benatiya Andaloussi, M. (2024). A Bibliometric Literature Review of Digital Supply Chain: Trends, Insights, and Future Directions. SAGE Open, 14(2), 21582440241240340.
  15. 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.
  16. Benotmane, M., Elhari, K., & Kabbaj, A. (2023). A review & analysis of current IoT maturity & readiness models and novel proposal. Scientific African, 21, e01748.
  17. Bhandal, R., Meriton, R., Kavanagh, R. E., & Brown, A. (2022). The application of digital twin technology in operations and supply chain management: a bibliometric review. Supply Chain Management: An International Journal, 27(2), 182-206.
  18. Bienhaus, F., & Haddud, A. (2018). Procurement 4.0: factors influencing the digitisation of procurement and supply chains. Business Process Management Journal, 24(4), 965-984.
  19. Brau, R., Aloysius, J., & Siemsen, E. (2023). Demand planning for the digital supply chain: How to integrate human judgment and predictive analytics. Journal of operations management, 69(6), 965-982.
  20. Büyüközkan, G., & Göçer, F. (2018). Digital Supply Chain: Literature review and a proposed framework for future research. Computers in industry, 97, 157-177.
  21. Castelo-Branco, I., Cruz-Jesus, F., & Oliveira, T. (2019). Assessing Industry 4.0 readiness in manufacturing: Evidence for the European Union. Computers in Industry, 107, 22-32.
  22. Caviggioli, F., & Ughetto, E. (2019). A bibliometric analysis of the research dealing with the impact of additive manufacturing on industry, business and society. International journal of production economics, 208, 254-268.
  23. Chauhan, C., & Singh, A. (2019). A review of Industry 4.0 in supply chain management studies. Journal of Manufacturing Technology Management, 31(5), 863-886.
  24. Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., & Yin, B. (2017). Smart factory of industry 4.0: Key technologies, application case, and challenges. Ieee Access, 6, 6505-6519.
  25. Čolaković, A., Đorđević, A., Cvetić, B., Danilović, M., & Vasiljević, D. (2023). Traditional vs Digital Supply Chains. In 7th International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture–ITEMA 2023–Conference Proceedings, ISBN 978-86-80194-75-2, ISSN 2683-5991.
  26. Corallo, A., Crespino, A. M., Lazoi, M., & Lezzi, M. (2022). Model-based Big Data Analytics-as-a-Service framework in smart manufacturing: A case study. Robotics and Computer-Integrated Manufacturing, 76, 102331.
  27. Culot, G., Orzes, G., Sartor, M., & Nassimbeni, G. (2020). The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0. Technological forecasting and social change, 157, 120092.
  28. Deepu, T. S., & Ravi, V. (2023). A review of literature on implementation and operational dimensions of supply chain digitalization: Framework development and future research directions. International Journal of Information Management Data Insights, 3(1), 100156.
  29. Dehshiri, S. J. H. (2025). An integrated decision-making framework for evaluating Industry 5.0 and circular economy in supply chain management using Z-numbers. Applied Soft Computing, 113504.
  30. Dixit, V. K., Malviya, R. K., Kumar, V., & Shankar, R. (2024). An analysis of the strategies for overcoming digital supply chain implementation barriers. Decision Analytics Journal, 10, 100389.
  31. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of business research, 133, 285-296.
  32. Dubey, R., Bryde, D. J., Dwivedi, Y. K., Graham, G., Foropon, C., & Papadopoulos, T. (2023). Dynamic digital capabilities and supply chain resilience: The role of government effectiveness. International Journal of Production Economics, 258, 108790.
  33. Dwivedi, A., & Paul, S. K. (2022). A framework for digital supply chains in the era of circular economy: Implications on environmental sustainability. Business strategy and the environment, 31(4), 1249-1274.
  34. Facchini, F., Oleśków-Szłapka, J., Ranieri, L., & Urbinati, A. (2019). A maturity model for logistics 4.0: An empirical analysis and a roadmap for future research. Sustainability, 12(1), 86.
  35. Farajpour, F., Hassanzadeh, A., Elahi, S., & Ghazanfari, M. (2022). Digital supply chain blueprint via a systematic literature review. Technological Forecasting and Social Change, 184, 121976.
  36. Fatorachian, H., & Kazemi, H. (2018). A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework. Production Planning & Control, 29(8), 633-644.
  37. Feng, B., & Ye, Q. (2021). Operations management of smart logistics: A literature review and future research. Frontiers of Engineering Management, 8, 344-355.
  38. Frazzon, E. M., Rodriguez, C. M. T., Pereira, M. M., Pires, M. C., & Uhlmann, I. (2019). Towards supply chain management 4.0. Brazilian Journal of Operations & Production Management, 16(2), 180-191.
  39. Frederico, G. F., Garza-Reyes, J. A., Anosike, A., & Kumar, V. (2019). Supply Chain 4.0: concepts, maturity and research agenda. Supply Chain Management: An International Journal, 25(2), 262-282.
  40. Gagliardi, A. R., Festa, G., Usai, A., Dell'Anno, D., & Rossi, M. (2023). The impact of knowledge management on the digital supply chain–a bibliometric literature review. International Journal of Physical Distribution & Logistics Management, 53(5/6), 612-627.
  41. Garay-Rondero, C. L., Martinez-Flores, J. L., Smith, N. R., Morales, S. O. C., & Aldrette-Malacara, A. (2020). Digital supply chain model in Industry 4.0. Journal of Manufacturing Technology Management, 31(5), 887-933.
  42. Ge, J., Wang, F., Sun, H., Fu, L., & Sun, M. (2020). Research on the maturity of big data management capability of intelligent manufacturing enterprise. Systems Research and Behavioral Science, 37(4), 646-662.
  43. Ghobakhloo, M. (2018). The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of manufacturing technology management, 29(6), 910-936.
  44. Golovianko, M., Terziyan, V., Branytskyi, V., & Malyk, D. (2023). Industry 4.0 vs. Industry 5.0: Co-existence, transition, or a hybrid. Procedia Computer Science, 217, 102-113.
  45. Govindan, K., Jain, P., Singh, R. K., & Mishra, R. (2024). Blockchain technology as a strategic weapon to bring procurement 4.0 truly alive: Literature review and future research agenda. Transportation Research Part E: Logistics and Transportation Review, 181, 103352.
  46. Gupta, S., Modgil, S., Gunasekaran, A., & Bag, S. (2020, July). Dynamic capabilities and institutional theories for Industry 4.0 and digital supply chain. In Supply Chain Forum: An International Journal(Vol. 21, No. 3, pp. 139-157). Taylor & Francis.
  47. Hallikas, J., Immonen, M., & Brax, S. (2021). Digitalizing procurement: the impact of data analytics on supply chain performance. Supply Chain Management: An International Journal, 26(5), 629-646.
  48. Hashem, G., Aboelmaged, M., & Ahmad, I. (2024). Proactiveness, knowledge management capability and innovation ambidexterity: an empirical examination of digital supply chain adoption. Management Decision, 62(1), 129-162.
  49. Hassan, M. A., Zardari, S., Farooq, M. U., Alansari, M. M., & Nagro, S. A. (2024). Systematic analysis of risks in industry 5.0 architecture. Applied Sciences, 14(4), 1466.
  50. Helo, P., & Thai, V. V. (2024). Logistics 4.0–digital transformation with smart connected tracking and tracing devices. International Journal of Production Economics, 275, 109336.
  51. Hughes, L., Dwivedi, Y. K., Rana, N. P., Williams, M. D., & Raghavan, V. (2022). Perspectives on the future of manufacturing within the Industry 4.0 era. Production Planning & Control, 33(2-3), 138-158.
  52. Ivanov, D. (2024). Conceptualisation of a 7-element digital twin framework in supply chain and operations management. International Journal of Production Research, 62(6), 2220-2232.
  53. Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775-788.
  54. Jiang, J. R. (2018). An improved cyber-physical systems architecture for Industry 4.0 smart factories. Advances in Mechanical Engineering, 10(6), 1687814018784192.
  55. Kabra, G., Ramesh, A., Jain, V., & Akhtar, P. (2023). Barriers to information and digital technology adoption in humanitarian supply chain management: a fuzzy AHP approach. Journal of Enterprise Information Management, 36(2), 505-527.
  56. Kang, H. S., Lee, J. Y., Choi, S., Kim, H., Park, J. H., Son, J. Y., ... & Noh, S. D. (2016). Smart manufacturing: Past research, present findings, and future directions. International journal of precision engineering and manufacturing-green technology, 3, 111-128.
  57. Karmaker, C. L., Al Aziz, R., Ahmed, T., Misbauddin, S. M., & Moktadir, M. A. (2023). Impact of industry 4.0 technologies on sustainable supply chain performance: The mediating role of green supply chain management practices and circular economy. Journal of Cleaner Production, 419, 138249.
  58. Khatib, E. J., & Barco, R. (2021). Optimization of 5G networks for smart logistics. Energies, 14(6), 1758.
  59. Khourshed, N. F., Elbarky, S. S., & Elgamal, S. (2023). Investigating the readiness factors for industry 4.0 implementation for manufacturing industry in Egypt. Sustainability, 15(12), 9641.
  60. Kotsiopoulos, T., Sarigiannidis, P., Ioannidis, D., & Tzovaras, D. (2021). Machine learning and deep learning in smart manufacturing: The smart grid paradigm. Computer Science Review, 40, 100341.
  61. Kumar, R., Kumar, P., Singh, R. K., Vaish, A., & Sharma, G. (2024). A framework for evaluating the barriers to adopting Industry 4.0 in Indian SMEs: an approach of best-worst method. Journal of Management Analytics, 11(4), 705-737.
  62. Kumar, V., Vrat, P., & Shankar, R. (2021). Prioritization of strategies to overcome the barriers in Industry 4.0: a hybrid MCDM approach. Opsearch, 1-40.
  63. Kusiak, A. (2018). Smart manufacturing. International journal of production Research, 56(1-2), 508-517.
  64. Lee, K. L., Teong, C. X., Alzoubi, H. M., Alshurideh, M. T., Khatib, M. E., & Al-Gharaibeh, S. M. (2024). Digital supply chain transformation: The role of smart technologies on operational performance in manufacturing industry. International Journal of Engineering Business Management, 16, 18479790241234986.
  65. Lim, W. M., Kumar, S., & Donthu, N. (2024). How to combine and clean bibliometric data and use bibliometric tools synergistically: Guidelines using metaverse research. Journal of Business Research, 182, 114760.
  66. Lin, H., Lin, J., & Wang, F. (2022). An innovative machine learning model for supply chain management. Journal of Innovation & Knowledge, 7(4), 100276.
  67. Lin, T. C., Wang, K. J., & Sheng, M. L. (2020). To assess smart manufacturing readiness by maturity model: A case study on Taiwan enterprises. International Journal of Computer Integrated Manufacturing, 33(1), 102-115.
  68. Liu, C., Ji, H., & Wei, J. (2022). Smart supply chain risk assessment in intelligent manufacturing. Journal of computer information systems, 62(3), 609-621.
  69. Ma, L., & Chang, R. (2024). How big data analytics and artificial intelligence facilitate digital supply chain transformation: the role of integration and agility. Management Decision.
  70. Mabkhot, M. M., Al-Ahmari, A. M., Salah, B., & Alkhalefah, H. (2018). Requirements of the smart factory system: A survey and perspective. Machines, 6(2), 23.
  71. Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2018). A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs). Journal of manufacturing systems, 49, 194-214.
  72. Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2019). Smart manufacturing: Characteristics, technologies and enabling factors. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 233(5), 1342-1361.
  73. Müßigmann, B., von der Gracht, H., & Hartmann, E. (2020). Blockchain technology in logistics and supply chain management—A bibliometric literature review from 2016 to January 2020. IEEE transactions on engineering management, 67(4), 988-1007.
  74. Nasiri, M., Ukko, J., Saunila, M., & Rantala, T. (2020). Managing the digital supply chain: The role of smart technologies. Technovation, 96, 102121.
  75. Pacchini, A. P. T., Lucato, W. C., Facchini, F., & Mummolo, G. (2019). The degree of readiness for the implementation of Industry 4.0. Computers in industry, 113, 103125.
  76. Pandey, S., Singh, R. K., & Gunasekaran, A. (2023). Supply chain risks in Industry 4.0 environment: review and analysis framework. Production Planning & Control, 34(13), 1275-1302.
  77. Patil, A., Shardeo, V., Dwivedi, A., & Paul, S. K. (2023). An integrated framework for digitalization of humanitarian supply chains in post COVID-19 era. International Journal of Disaster Risk Reduction, 87, 103574.
  78. Rahamneh, A., Alrawashdeh, S., Bawaneh, A., Alatyat, Z., Mohammad, A., & Al-Hawary, S. (2023). The effect of digital supply chain on lean manufacturing: A structural equation modelling approach. Uncertain Supply Chain Management, 11(1), 391-402.
  79. Raj, A., Dwivedi, G., Sharma, A., de Sousa Jabbour, A. B. L., & Rajak, S. (2020). Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective. International Journal of Production Economics, 224, 107546.
  80. Rashid, A., Rasheed, R., Ngah, A. H., Pradeepa Jayaratne, M. D. R., Rahi, S., & Tunio, M. N. (2024). Role of information processing and digital supply chain in supply chain resilience through supply chain risk management. Journal of Global Operations and Strategic Sourcing, 17(2), 429-447.
  81. Rasool, F., Greco, M., & Grimaldi, M. (2022). Digital supply chain performance metrics: a literature review. Measuring Business Excellence, 26(1), 23-38.
  82. Rauniyar, K., Wu, X., Gupta, S., Modgil, S., & Kumar, A. (2024). Digitizing global supply chains through blockchain. Production Planning & Control, 35(16), 2327-2348.
  83. Rejeb, A., Keogh, J. G., Leong, G. K., & Treiblmaier, H. (2021). Potentials and challenges of augmented reality smart glasses in logistics and supply chain management: a systematic literature review. International Journal of Production Research, 59(12), 3747-3776.
  84. Rejeb, A., Simske, S., Rejeb, K., Treiblmaier, H., & Zailani, S. (2020). Internet of Things research in supply chain management and logistics: A bibliometric analysis. Internet of Things, 12, 100318.
  85. Riahi, Y., Saikouk, T., Gunasekaran, A., & Badraoui, I. (2021). Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions. Expert systems with applications, 173, 114702.
  86. Richey Jr, R. G., Chowdhury, S., Davis‐Sramek, B., Giannakis, M., & Dwivedi, Y. K. (2023). Artificial intelligence in logistics and supply chain management: A primer and roadmap for research. Journal of Business Logistics, 44(4), 532-549.
  87. Rizqi, Z. U., Chou, S. Y., & Cahyo, W. N. (2024). A simulation-based Digital Twin for smart warehouse: Towards standardization. Decision Analytics Journal, 12, 100509.
  88. 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.
  89. Sahara, C. R., & Aamer, A. M. (2023). Real-time data integration of an internet-of-things-based smart warehouse: a case study. International Journal of Pervasive Computing and Communications, 18(5), 622-644.
  90. Samaranayake, P., Laosirihongthong, T., Adebanjo, D., & Boon-itt, S. (2023). Prioritising enabling factors of Internet of things (IoT) adoption in digital supply chain. International Journal of Productivity and Performance Management, 72(10), 3095-3118.
  91. Schwab, K. (2017). The Fourth Industrial Revolution, Crown Business, New York. The smart-up ecosystem: Turning Open Innovation into smart business.
  92. Senna, P. P., Ferreira, L. M. D., Barros, A. C., Roca, J. B., & Magalhães, V. (2022). Prioritizing barriers for the adoption of Industry 4.0 technologies. Computers & Industrial Engineering, 171, 108428.
  93. Shi, Z., Xie, Y., Xue, W., Chen, Y., Fu, L., & Xu, X. (2020). Smart factory in Industry 4.0. Systems Research and Behavioral Science, 37(4), 607-617.
  94. Shukla, M., & Shankar, R. (2024). Readiness assessment for smart manufacturing system implementation: multiple case of Indian small and medium enterprises. International Journal of Computer Integrated Manufacturing, 37(1-2), 224-242.
  95. Song, Y., Yu, F. R., Zhou, L., Yang, X., & He, Z. (2020). Applications of the Internet of Things (IoT) in smart logistics: A comprehensive survey. IEEE Internet of Things Journal, 8(6), 4250-4274.
  96. Sundarakani, B., Manikas, I., & Gunasekaran, A. (2024). The role of digital transformation in achieving sustainable supply chain management in Industry 4.0: an editorial review perspective. International Journal of Logistics Research and Applications, 27(6), 843-851.
  97. Taj, S., Imran, A. S., Kastrati, Z., Daudpota, S. M., Memon, R. A., & Ahmed, J. (2023). IoT-based supply chain management: A systematic literature review. Internet of Things, 24, 100982.
  98. Tavana, M., Shaabani, A., Raeesi Vanani, I., & Kumar Gangadhari, R. (2022). A review of digital transformation on supply chain process management using text mining. Processes, 10(5), 842.
  99. Viale, L., & Zouari, D. (2020, July). Impact of digitalization on procurement: the case of robotic process automation. In Supply Chain Forum: An International Journal(Vol. 21, No. 3, pp. 185-195). Taylor & Francis.
  100. Wang, B., Tao, F., Fang, X., Liu, C., Liu, Y., & Freiheit, T. (2021). Smart manufacturing and intelligent manufacturing: A comparative review. Engineering, 7(6), 738-757.
  101. Webster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. MIS quarterly, xiii-xxiii.
  102. Wu, L., Yue, X., Jin, A., & Yen, D. C. (2016). Smart supply chain management: a review and implications for future research. The international journal of logistics management, 27(2), 395-417.
  103. Xie, Y., Yin, Y., Xue, W., Shi, H., & Chong, D. (2020). Intelligent supply chain performance measurement in Industry 4.0. Systems Research and Behavioral Science, 37(4), 711-718.
  104. Yadav, S., & Singh, S. P. (2022). Modelling procurement problems in the environment of blockchain technology. Computers & Industrial Engineering, 172, 108546.
  105. Ye, F., Liu, K., Li, L., Lai, K. H., Zhan, Y., & Kumar, A. (2022). Digital supply chain management in the COVID-19 crisis: An asset orchestration perspective. International Journal of Production Economics, 245, 108396.
  106. Younis, H., & Wuni, I. Y. (2023). Application of industry 4.0 enablers in supply chain management: Scientometric analysis and critical review. Heliyon, 9(11).
  107. Zekhnini, K., Cherrafi, A., Bouhaddou, I., Benghabrit, Y., & Garza-Reyes, J. A. (2021). Supply chain management 4.0: a literature review and research framework. Benchmarking: An International Journal, 28(2), 465-501.
  108. Zhang, S., Yu, Q., Wan, S., Cao, H., & Huang, Y. (2024). Digital supply chain: literature review of seven related technologies. Manufacturing Review, 11, 8.
  109. Zoubek, M., & Simon, M. (2021). Evaluation of the level and readiness of internal logistics for industry 4.0 in industrial companies. Applied Sciences, 11(13), 6130.
  110. Zrelli, I., & Rejeb, A. (2024). A bibliometric analysis of IoT applications in logistics and supply chain management. Heliyon, 10(16).
  111. Zulfiqar, M., Antony, J., Swarnakar, V., Sony, M., Jayaraman, R., & McDermott, O. (2023). A readiness assessment of Quality 4.0 in packaging companies: an empirical investigation. Total Quality Management & Business Excellence, 34(11-12), 1334-1352.
 

References [In Persian]

  1. Amiri, M., Hosseini Dehshiri, S. J., & Yousefi Hanoomarvar, A. (2018). Determining the optimal combination of LARG supply chain strategies using SWOT analysis, multi-criteria decision-making techniques and game theory. Industrial Management Journal, 10(2), 221-246.
  2. Mahavarpour, F., Feiz, D., Maleki MinBash Razgah, M. (2024). Augmented Reality Technology in Marketing’s Evolution: A systematic Review Study and Bibliometric Analysis, Journal of Business Intelligence Management Studies, 13(49), 119-157. DOI: 10.22054/ims.2024.77226.2416
  3. Mousavi, P., Salehan, A., Yousefi Zenouz, R. (2022). Identifying the Research Trends and Subfields of Block chain Technology, Journal of Business Intelligence Management Studies, 10(39), 163-195.
  4. Sharifi, V., Hashemzadeh, Gh., Derakhshan, A., Shahmansouri, A., Alirezaee, A. (2024). Identifying The Research Trends And Subfields Of The Social Manufacturing Paradigm, Journal of Business Intelligence Management Studies, 12(46), 81-120.
  5. Yalpanian, M. A., Raeesi Vanani, I., Taghavifard, M. T. (2024). Analyzing the Impact of Digital Transformation Technologies on Business Performance Improvement Using Advanced Text Analytics Methods, Journal of Business Intelligence Management Studies, 13(49), 207-253. DOI: 10.22054/IMS.2024.77611.2421.
 

 

 

 

 

 

 

 

 

 استناد به این مقاله: سینائی، سید صبا.، امیری، مقصود.، الفت، لعیا.، یوسفلی، امیر. (1404).  تحلیل حوزه‌ها و روندهای پژوهشی در زنجیره تأمین دیجیتال، مطالعات مدیریت کسب و کار هوشمند،

 

تأمین دیجیتال، مطالعات مدیریت کسب و کار هوشمند،

 

آمار
تعداد مشاهده مقاله: 2,220
تعداد دریافت فایل اصل مقاله: 1,575


سامانه مدیریت نشریات علمی. طراحی و پیاده سازی از سیناوب
login