پیوندهای مفید
آمار
| تعداد نشریات | 22 |
| تعداد شمارهها | 705 |
| تعداد مقالات | 10,146 |
| تعداد مشاهده مقاله | 71,451,118 |
| تعداد دریافت فایل اصل مقاله | 63,174,121 |
رونمایی از نقش فناوری های نوین انقلاب صنعتی چهارم در بهبود عملکرد زنجیرۀ تأمین پایدارِ شرکتهای دانش بنیان: آیا شیوههای اقتصاد مدور کمک می کند؟ | ||
| مدیریت زنجیره ارزش راهبردی | ||
| مقاله 4، دوره 1، شماره 2، آذر 1403، صفحه 41-60 اصل مقاله (736.99 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22075/svcm.2025.35066.1008 | ||
| نویسندگان | ||
| محسن عین علی1؛ هوشمند باقری قره بلاغ* 2 | ||
| 1دکتری تخصصی مدیریت دولتی، گرایش تصمیم گیری و خط مشی گذاری عمومی، دانشکده اقتصاد، مدیریت و علوم اداری، دانشگاه سمنان، سمنان، ایران | ||
| 2استادیار، دانشکده اقتصاد و مدیریت دانشگاه ارومیه، ارومیه، ایران | ||
| تاریخ دریافت: 29 مرداد 1403، تاریخ بازنگری: 01 آبان 1403، تاریخ پذیرش: 15 بهمن 1403 | ||
| چکیده | ||
| پایداری به طور گسترده به عنوان یک پدیده فراگیر که زیربنای عملیات و عملکرد کسب و کارها است، شناخته شده است. از اینرو، هدف اصلی پژوهش واکاوی نقش پذیرش اینترنت اشیاء و هوش مصنوعی بر عملکرد زنجیرۀ پایدار با نقش میانجی شیوههای اقتصاد مدور است. جامعه آماری پژوهش شامل کارشناسان، مدیران عامل، زنجیرۀ تأمین، بازاریابی و فروش و تولید و عملیات شرکتهای دانشبنیان فعال در پارک علم و فناوری شهر ارومیه میباشند. تعداد 40 شرکت به صورت روش نمونهگیری تصادفی ساده انتخاب گردید و تعداد 120 پرسشنامه بین مدیران (هر شرکت دانشبنیان سه پرسشنامه) توزیع گردید. ابزار گردآوری اطلاعات، پرسشنامه استاندارد است. برای تجزیه و تحلیل دادهها از مدلسازی معادلات ساختاری بهره گرفته شد. یافتههای پژوهش نشان داد که پذیرش اینترنت اشیاء و هوش مصنوعی بر عملکرد زنجیرۀ تأمین پایدار تأثیر مثبت و معنادار دارند. افزون براین، پذیرش اینترنت اشیاء و هوش مصنوعی بر شیوههای اقتصاد مدور تأثیر مثبت و معنادار دارند. همچنین، نتایج بیانگر این است که بین شیوههای اقتصاد مدور و عملکرد زنجیرۀ تأمین پایدار تأثیر مثبت و معناداری یافت شد. اقتصاد مدور از پتانسیل بسیار خوبی برای دستیابی به اهداف پایداری برخوردار است؛ زیرا میتواند زبالهها را به میزان قابل توجهی کاهش دهد و در نهایت عملکرد پایداری شرکت را بهبود دهد. همچنین اقتصاد مدور میتواند مصرف منابع طبیعی را بدون تأثیر بر مصرف به حداقل برساند. | ||
| کلیدواژهها | ||
| پذیرش اینترنت اشیاء؛ پذیرش هوش مصنوعی؛ اقتصاد مدور؛ عملکرد پایدار زنجیرۀ تأمین؛ شرکت دانش بنیان | ||
| عنوان مقاله [English] | ||
| Unveiling the Role of New Technologies of the Fourth Industrial Revolution in Improving the Sustainable Supply Chain Performance of Knowledge-Based Companies: Does Circular Economy Practices Help? | ||
| نویسندگان [English] | ||
| Mohsen Eynali1؛ Hooshmand Bagheri Garbollagh2 | ||
| 1Ph.D in public Management, decision and public policy making, Faculty of Economics, Management and Administrative Sciences, Semnan University, Semnan, Iran | ||
| 2Assistant Prof., Department of Business Management, Faculty of Economics and Management, Urmia University, Urmia, Iran. | ||
| چکیده [English] | ||
| Sustainability is widely recognized as a pervasive phenomenon that underpins the operations and performance of businesses. Therefore, the main goal of the current research is to examine the role of the adoption of the Internet of Things and artificial intelligence on the performance of the sustainable chain with the mediating role of circular economy practices. The statistical population of the research includes experts, managing directors, supply chain, marketing and sales, and production and operations of knowledge-based companies active in the science and technology park of Urmia city. 40 companies were selected by simple random sampling method and 120 questionnaires were distributed among managers (three questionnaires for each knowledge-based company). The data collection tool was a standard questionnaire whose validity was confirmed by experts and its reliability was estimated using Cronbach's alpha coefficient. Structural equation modeling was used to analyze the research data. The findings of the research showed that the adoption of the Internet of Things and artificial intelligence has a positive and meaningful effect on the performance of the sustainable supply chain. In addition, the adoption of the Internet of Things and artificial intelligence has a positive and significant effect on circular economy practices. Also, the research results show that there was a positive and significant effect between circular economy practices and sustainable supply chain performance. Based on the results, the circular economy has a great potential to achieve sustainability goals; because it can significantly reduce waste and ultimately improve the company's sustainability performance. Also, the circular economy can minimize the consumption of natural resources without affecting consumption. | ||
| کلیدواژهها [English] | ||
| Adoption of Internet of Things, adoption of artificial intelligence, circular economy, sustainable supply chain performance, knowledge-based companies | ||
| مراجع | ||
|
Ageron, B., Bentahar, O., & Gunasekaran, A. (2020, July). Digital supply chain: challenges and future directions. In Supply chain forum: An international journal. 21(3), 133-138. Ahmad, H., Hanandeh, R., Alazzawi, F., Al-Daradkah, A., ElDmrat, A., Ghaith, Y., & Darawsheh, S. (2023). The effects of big data, artificial intelligence, and business intelligence on e-learning and business performance: Evidence from Jordanian telecommunication firms. International Journal of Data and Network Science, 7(1), 35-40. Asif, S., Saini, M. N., Singh, K., & Yadav, S. (2022). Impact of internet of things (iot) on supply chain management and its benefits in tourism industry. Journal of harbin institute of technology, 54(6), 313-322. Bai, C., Sarkis, J., Yin, F., & Dou, Y. (2020). Sustainable supply chain flexibility and its relationship to circular economy-target performance. International Journal of Production Research, 58(19), 5893-5910. 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. Böckel, A., Nuzum, A. K., & Weissbrod, I. (2021). Blockchain for the circular economy: analysis of the research-practice gap. Sustainable Production and Consumption, 25, 525-539. Botta, A., De Donato, W., Persico, V., & Pescapé, A. (2016). Integration of cloud computing and internet of things: a survey. Future generation computer systems, 56, 684-700. Cagno, E., Neri, A., Howard, M., Brenna, G., & Trianni, A. (2019). Industrial sustainability performance measurement systems: A novel framework. Journal of Cleaner Production, 230, 1354-1375. Corallo, A., Lazoi, M., Lezzi, M., & Luperto, A. (2022). Cybersecurity awareness in the context of the Industrial Internet of Things: A systematic literature review. Computers in Industry, 137, 103614. Deepu, T. S., & Ravi, V. (2021). Supply chain digitalization: An integrated MCDM approach for inter-organizational information systems selection in an electronic supply chain. International Journal of Information Management Data Insights, 1(2), 100038. Helo, P., & Hao, Y. (2022). Artificial intelligence in operations management and supply chain management: An exploratory case study. Production Planning & Control, 33(16), 1573-1590. Junaid, M., Zhang, Q., & Syed, M. W. (2022). Effects of sustainable supply chain integration on green innovation and firm performance. Sustainable Production and Consumption, 30, 145-157. 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. Khodaparasti, R. B., & Bagheri Garabollagh, H. (2023). Examining circular economy practices and sustainability performance in knowledge-based companies in Iran. Amfiteatru Economic, 25(62), 196-212. Kouhizadeh, M., Zhu, Q., & Sarkis, J. (2020). Blockchain and the circular economy: potential tensions and critical reflections from practice. Production Planning & Control, 31(11-12), 950-966. Li, S., Younas, M. W., Zahid, R. M., & Maqsood, U. S. (2023). Driving sustainable Development: The impact of Artificial Intelligence on Environmental, Social, and Governance (ESG) Performance. Social, and Governance (ESG) Performance (July 24, 2023). Malhotra, G. (2023). Impact of circular economy practices on supply chain capability, flexibility and sustainable supply chain performance. The International Journal of Logistics Management. 35(5), 1500-1521. Mostafa, N., Hamdy, W., & Alawady, H. (2019). Impacts of internet of things on supply chains: a framework for warehousing. Social sciences, 8(3), 84. Neri, A., Cagno, E., Lepri, M., & Trianni, A. (2021). A triple bottom line balanced set of key performance indicators to measure the sustainability performance of industrial supply chains. Sustainable Production and Consumption, 26, 648-691. Oubrahim, I., Sefiani, N., & Happonen, A. (2023). The influence of digital transformation and supply chain integration on overall sustainable supply chain performance: An empirical analysis from manufacturing companies in Morocco. Energies, 16(2), 1004. Panetta, K. (2018). Gartner predicts 2019 for supply chain operations. Gartner Predicts, 1-10. Peng, G., Han, M., & Yuan, H. (2023). Artificial Intelligence Drives the Coordinated Development of Green Finance and the Real Economy: Empirical Evidence from Chinese Provincial Level. Journal of the Knowledge Economy, 1-39. Prasad, D. S., Pradhan, R. P., Gaurav, K., & Sabat, A. K. (2020). Critical success factors of sustainable supply chain management and organizational performance: an exploratory study. Transportation research procedia, 48, 327-344. Rodríguez-Espíndola, O., Cuevas-Romo, A., Chowdhury, S., Díaz-Acevedo, N., Albores, P., Despoudi, S., & Dey, P. (2022). The role of circular economy principles and sustainable-oriented innovation to enhance social, economic and environmental performance: Evidence from Mexican SMEs. International Journal of Production Economics, 248, 108495. Sarkis, J., Kouhizadeh, M., & Zhu, Q. S. (2021). Digitalization and the greening of supply chains. Industrial Management & Data Systems, 121(1), 65-85. Seuring, S., Aman, S., Hettiarachchi, B. D., de Lima, F. A., Schilling, L., & Sudusinghe, J. I. (2022). Reflecting on theory development in sustainable supply chain management. Cleaner Logistics and Supply Chain, 3, 100016. Sharma, M., Kumar, A., Luthra, S., Joshi, S., & Upadhyay, A. (2022). The impact of environmental dynamism on low‐carbon practices and digital supply chain networks to enhance sustainable performance: An empirical analysis. Business Strategy and the Environment, 31(4), 1776-1788. Sharma, U., & Gupta, D. (2021, July). Analyzing the applications of internet of things in hotel industry. In Journal of Physics: Conference Series. 1969(1) 012041. IOP Publishing. Stroumpoulis, A., & Kopanaki, E. (2022). Theoretical perspectives on sustainable supply chain management and digital transformation: A literature review and a conceptual framework. Sustainability, 14(8), 4862. Wamba, S. F. (2022). Impact of artificial intelligence assimilation on firm performance: The mediating effects of organizational agility and customer agility. International Journal of Information Management, 67, 102544. Weisz, E., Herold, D. M., & Kummer, S. (2023). Revisiting the bullwhip effect: how can AI smoothen the bullwhip phenomenon? The International Journal of Logistics Management, 34(7), 98-120. Whig, P., Remala, R., Mudunuru, K. R., & Quraishi, S. J. (2024). Integrating AI and Quantum Technologies for Sustainable Supply Chain Management. In Quantum Computing and Supply Chain Management: A New Era of Optimization (pp. 267-283). IGI Global. Yu, Y., Xu, J., Huo, B., Zhang, J. Z., & Cao, Y. (2023). The impact of supply chain social responsibility on sustainable performance. Journal of Cleaner Production, 385, 135666. Zhou, B., Siddik, A. B., Zheng, G. W., & Masukujjaman, M. (2023). Unveiling the role of green logistics management in improving SMEs’ sustainability performance: do circular economy practices and supply chain traceability matter? Systems, 11(4), 198. | ||
|
آمار تعداد مشاهده مقاله: 359 تعداد دریافت فایل اصل مقاله: 291 |
||