تبیین اثر رایانش ابری بر مدیریت زنجیره تأمین الکترونیکی در صنعت ساخت و ساز

محورهای موضوعی : مدیریت صنعتی

Reza Ehtesham Rasi ¹ , Kajal Zarei ² , Gholamreza Pashaei Vahid ³ , Naser Mahmoudi ⁴

1 - industrial Management,
2 - PhD student in Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran.
3 - PhD student in Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran.
4 - PhD student in Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran.

تاریخ دریافت : 1400/08/19 تاریخ پذیرش : 1401/07/18 تاریخ انتشار : 1401/08/01

کلید واژه: زنجیره تأمین الکترونیکی, رایانش ابری, صنعت ساخت و ساز, زنجیره تأمین,

چکیده مقاله :

با توسعه فناوری اطلاعات و ارتباطات، بخشی از زنجیره تأمین، از جمله مشتریان سازمانی، تأمین کنندگان، و سایر بخش‌هایی است که نقش مهمی را در فرایند کسب و کار تجارت دارند، به تدریج به پلتفرم‌های موجود فناوری اطلاعات منتقل شده است که موجب تغییر کامل الگوهای تجارت سنتی شده است. از این رو، هدف تحقیق حاضر تبیین اثر رایانش ابری بر مدیریت زنجیره تأمین الکترونیکی در صنعت ساخت و ساز می‌باشد. روش تحقیق در این مقاله توصیفی-همبستگی و از نوع تحلیل ماتریس واریانسی-کوواریانس است. این تحقیق به‌صورت کتابخانه‌ای و میدانی انجام شده است. بدین‌صورت که ابتدا مطالعات کتابخانه‌ای ادبیات زنجیره تأمین الکترونیکی مبتنی بر رایانش ابری، پیشینه تحقیق و نظریاتی که راجع به موضوع وجود دارد، صورت گرفت و پس از شناسایی شاخص‌ها، پرسشنامه‌ای بین خبرگان شرکت‌های فعال در صنعت ساخت و ساز توزیع و پرسشنامه‌های تکمیل‌شده برگشت داده شد. در نهایت با استفاده از روش مدل‌سازی معادلات ساختاری، اثر رایانش ابری بر مدیریت زنجیره تأمین الکترونیکی در صنعت ساخت و ساز تبیین گردید. بر اساس یافته‌های مدلسازی معادلات ساختاری، در شرکت‌های فعال در صنعت ساخت و ساز مورد بررسی، اثربخشی هزینه (CEP)، تحویل (DP)، کیفیت (QP)، روابط مشتری (CRP)، یکپارچه‌سازی (IP)، فناوری (TP)، انعطاف‌پذیری (FP)، ثبات (S)، هوشمندی محیط (IE)، سهولت دسترسی (EA) و مزیت تاکتیکی (TA) بر زنجیره تأمین الکترونیکی مبتنی بر رایانش ابری صنعت ساخت و ساز ایران تأثیر مثبت و معناداری می‌گذارد.

چکیده انگلیسی:

With the development of information and communication technology, part of the supply chain, including organizational customers, suppliers, and other sectors that play an important role in the business process, has been transferred to existing information technology platforms, causing a complete change. Patterns of trade have become traditional. Thus, the purpose study is to present a conceptual model of the electronic supply chain based on cloud computing in the Iranian construction industry. The research method in this study is descriptive-correlational and analysis of the variance-covariance matrix. This research has been done in the form of libraries and fields. Thus, first, the literature libraries of the "electronic supply chain based on cloud computing", research background and theories on the subject were conducted, and after identifying the indicators, a questionnaire was distributed among the experts of companies active in the construction industry and a questionnaire was distributed. Finally, using the structural equation modeling method, the proposed conceptual model of the research was analyzed. Based on the structural equation modeling findings, in the companies active in the construction industry, "Cost Effectiveness (CEP)", "Delivery (DP)", "Quality (QP)", "Customer Relationship (CRP)", "Integration" (IP) "," Technology (TP) "," Flexibility (FP) "," Stability (S) "," Environmental Intelligence (IE) "," Ease of Access (EA) "and" Tactical Advantage (TA) " on "Electronic supply chain based on cloud computing in Iran's construction industry" has a positive and significant effect.

منابع و مأخذ:

1. Agrawal, V., Yadav, S. K., Mohanty, R. P., & Agrawal, A. M. (2020). Prioritizing the Enablers of Construction Supply Chain in the Industry 4.0 Environment. In Leadership Strategies for Global Supply Chain Management in Emerging Markets(pp. 147-172). IGI Global.


2. Ahmi, A., Rahim, S. A., & Elbardan, H. (2018). A global trend of the electronic supply chain management (e-SCM) research: A bibliometric analysis. International Journal of Supply Chain Management, 7(5), 535-542.


3. Almajali, D., Mansour, K., & Maqableh, M. (2016). The impact of electronic supply chain management usage on firm’s performance. International Journal of Communications, Network and System Sciences, 9(6), 280-293.


4. Barutçu, S., & Tunca, M. Z. (2012). The impacts of E-SCM on the E-tailing industry: an analysis from Porter's Five Force perspectives. Procedia-Social and Behavioral Sciences, 58, 1047-1056.


5. Belfki, H., Ali, S. B., Aounallah-Skhiri, H., Traissac, P., Bougatef, S., Maire, B., ... & Romdhane, H. B. (2013). Prevalence and determinants of the metabolic syndrome among Tunisian adults: results of the Transition and Health Impact in North Africa (TAHINA) project. Public health nutrition, 16(4), 582-590.


6. Brynjolfsson, E., & Smith, M. D. (2000). Frictionless commerce? A comparison of Internet and conventional retailers. Management science, 46(4), 563-585.


7. Caputo, A. C., Cucchiella, F., Fratocchi, L., Pelagagge, P. M., & Scacchia, F. (2004). Analysis and evaluation of e‐supply chain performances. Industrial Management & Data Systems.


8. Chan, F. T., Chong, A. Y. L., & Zhou, L. (2012). An empirical investigation of factors affecting e-collaboration diffusion in SMEs. International Journal of Production Economics, 138(2), 329-344.


9. Chi, M., Zhao, J., Lu, Z., & Liu, Z. (2010, July). Analysis of E-business capabilities and performance: From e-SCM process view. In 2010 3rd International Conference on Computer Science and Information Technology(Vol. 1, pp. 18-22). IEEE.


10. Chuang, C. J., & Wu, C. W. (2018). Optimal process mean and quality improvement in a supply chain model with two-part trade credit based on Taguchi loss function. International Journal of Production Research, 56(15), 5234-5248.


11. Cui, Y., & Idota, H. (2018, July). Improving supply chain resilience with establishing a decentralized information sharing mechanism. In Proceedings of the 5th Multidisciplinary International Social Networks Conference(pp. 1-7).


12. Gimenez, C., & Lourenço, H. R. (2008). e‐SCM: internet's impact on supply chain processes. The International Journal of Logistics Management.


13. Gunasekaran, A., & Ngai, E. W. (2004). Virtual supply-chain management. Production Planning & Control, 15(6), 584-595.


14. Hangual, M. (2007). Electronic Supply Chain. 1st International Conference on Supply Chain Management and Information Systems, Tehran. (In Persian)


15. Joyce, J., McAllen, D., & Haddud, A. (2019, August). A Study of Factors in the US Automotive Industry that Influence Use and Procurement Outcomes for Electronic Supply Chain Management (eSCM). In 2019 Portland International Conference on Management of Engineering and Technology (PICMET)(pp. 1-13). IEEE.


16. Lamoureux, M. (2007). A supply chain finance prime. Supply chain finance, 4(5), 34-48.


17. Li, L., Chi, T., Hao, T., & Yu, T. (2018). Customer demand analysis of the electronic commerce supply chain using Big Data. Annals of Operations Research, 268(1), 113-128.


18. Liu, H., Ke, W., Wei, K. K., & Hua, Z. (2015). Influence of power and trust on the intention to adopt electronic supply chain management in China. International Journal of Production Research, 53(1), 70-87.


19. Luo, J., Chong, A. Y. L., Ngai, E. W., & Liu, M. J. (2015). Reprint of “Green Supply Chain Collaboration implementation in China: The mediating role of guanxi”. Transportation Research Part E: Logistics and Transportation Review, 74, 37-49.


20. Madhani, P. M. (2019). Strategic supply chain management for enhancing competitive advantages: developing business value added framework. International Journal of Value Chain Management, 10(4), 316-338.


21. Malviya, R. K., Kant, R., & Gupta, A. D. (2018). Evaluation and selection of sustainable strategy for green supply chain management implementation. Business Strategy and the Environment, 27(4), 475-502.


22. Mihardjo, L., Sasmoko, S., Alamsjah, F., & Elidjen, E. (2019). The influence of digital customer experience and electronic word of mouth on brand image and supply chain sustainable performance. Uncertain Supply Chain Management, 7(4), 691-702.


23. Momeni, M., & Ghayoumi, A. F. (2007). Statistical Analysis With SPSS. Tehran: Now Publication. (In Persian)


24. Muenwongthep, T., Rattanawiboonsom, V., & Pongcharoen, P. (2018). Factors affecting the success of electronic supply chain management of small and medium enterprises in Thai automotive parts industry. Advanced Science Letters, 24(5), 3384-3390.


25. Ovalle, O. R., & Marquez, A. C. (2003). The effectiveness of using e-collaboration tools in the supply chain: an assessment study with system dynamics. Journal of Purchasing and Supply Management, 9(4), 151-163.


26. Rahman, Z. (2003). Internet-based supply chain management: using the Internet to revolutionize your business. International Journal of Information Management, 23(6), 493-505.


27. Ratnasingam, P. (2007). A risk‐control framework for e‐marketplace participation: the findings of seven cases. Information management & computer security.


28. Sadeghi Moghadam, M. R., Momeni, M., & Nalchigar, S. (2009). Material Flow Modeling in Supply Chain Management with Genetic Algorithm Approach. Journal of Industrial Management, 1(2), 71-88. (In Persian)


29. Sambasivan, M., Mohamed, Z. A., & Nandan, T. (2009). Performance measures and metrics for e‐supply chains. Journal of enterprise information management.


30. Sarmad, z., Bazargan, A., & Hejazi, E. (2014). Research methods in the behavioral sciences (26^th ed). Tehran: Agah Publication. (In Persian)


31. Tiwari, R., Shepherd, H., & Pandey, R. K. (2013). OPTIMIZED SOURCING OF CRITICAL RESOURCES IN SCM BASED CONSTRUCTION PROJECT: A CASE STUDY.


32. Turban, E., Outland, J., King, D., Lee, J. K., Liang, T. P., & Turban, D. C. (2018). Order Fulfillment Along the Supply Chain in e-Commerce. In Electronic Commerce 2018(pp. 501-534). Springer, Cham.


33. Valverde, R., & Saadé, R. G. (2015). The effect of E-supply chain management systems in the North American electronic manufacturing services industry. Journal of theoretical and applied electronic commerce research, 10(1), 79-98.


34. Wang, J., Wu, P., Wang, X., & Shou, W. (2017). The outlook of blockchain technology for construction engineering management. Frontiers of engineering management, 67-75.


35. Wang, Z., Wang, T., Hu, H., Gong, J., Ren, X., & Xiao, Q. (2020). Blockchain-based framework for improving supply chain traceability and information sharing in precast construction. Automation in Construction, 111, 103063.


36. Wu, L., & Chang, C. H. (2012). Using the balanced scorecard in assessing the performance of e-SCM diffusion: A multi-stage perspective. Decision Support Systems, 52(2), 474-485.


37. Wu, L., & Chuang, C. H. (2010). Examining the diffusion of electronic supply chain management with external antecedents and firm performance: A multi-stage analysis. Decision support systems, 50(1), 103-115.


38. Xiong, F., Xiao, R., Ren, W., Zheng, R., & Jiang, J. (2019). A key protection scheme based on secret sharing for blockchain-based construction supply chain system. IEEE Access, 7, 126773-126786.


39. Yan, C., & Zhangong, X. (2012). Study on the information technology-based lean construction supply chain management model. In Recent progress in data engineering and internet technology(pp. 499-505). Springer, Berlin, Heidelberg.


40. Yu, Y., Wang, X., Zhong, R. Y., & Huang, G. Q. (2016). E-commerce logistics in supply chain management: Practice perspective. Procedia Cirp, 52, 179-185.