[1] Saguid, A. J. J., Hetanes, L. R., Deo, M. R. A., & Banate, R. M. (2024). Transitioning to online home-based business: impact on business well-being and sustainability of small-scale online business in tanza, cavite. International journal of research in education humanities and commerce, 06(01), 2583–0333. https://doi.org/10.37602/IJREHC.2025.6134
[2] Luu, N. T. M., Phung, P. T., Hua, S. M., Nguyen, A. T. Van, Siriwardana, A., & Hoang, A.-P. (2025). Role of digital technologies and digital marketing in the fashion and textile supply Chain. In use of digital and advanced technologies in the fashion supply chain (305–329). Springer. https://doi.org/10.1007/978-981-97-7528-6_12
[3] Ugli, M. S. A. (2025). Analysis of artificial intelligence impact on e-commerce in emerging economies. Raqamli iqtisodiyot (цифровая экономика), (10), 116–129. https://cyberleninka.ru/article/n/analysis-of-artificial-intelligence-impact-on
[4] Yang, F., & Zhong, D. (2024). The potential of new retail models: financial analysis of jd and suning supply chain management capabilities. Highlights in business, economics and management, 28, 120–124. http://dx.doi.org/10.54097/z08ph952
[5] Pagare, S. R. (2024). The impact of e-commerce on traditional retail and wholesale businesses. Unified visions, 81. 10.25215/8198189815.10%0D
[6] Yu, G., Lin, L., Yu, X., & Lin, Z. (n.d.). Research on digital marketing strategies based on live streaming e-commerce: a case study of the lily industry in northern fujian, China, 1, 95–101. http://dx.doi.org/10.62517/jbm.202409413
[7] Mishra, M. K., Pal, R., & Nayak, R. (2025). Chatbots and AI in fashion industry. In use of digital and advanced technologies in the fashion supply chain (41–66). Springer. https://doi.org/10.1007/978-981-97-7528-6_3
[8] Bamia, A., & Bamia, F. (2024). Sustainable digital exports from china to africa based on innovation and predictive analytic to improve supply chain efficiency. Open journal of business and management, 13(1), 396–425. http://dx.doi.org/10.4236/ojbm.2025.131023
[9] Navarro Villatoro, K., Ixcot Hernández, P., Jadán Guerrero, J., Pusey Alvarado, L., & Díaz Alvarez, N. (2024). Improve the efficiency of online grocery deliveries-advanced gps. 2024 IEEE 4th international conference on advanced learning technologies on education & research (ICALTER) (1–4). IEEE. https://doi.org/10.1109/ICALTER65499.2024.10819250
[10] Ertürk, M. A. (In Press). Internet of things (IOT) applications in logistics and supply chain management. Contemporary challenges and practices in logistics and supply chain management, 101. https://doi.org/10.26650/B/SS05ET50.2024.016.07
[11] Claran Santhiyagu, A., Vengadesh, S., & Rajan Chinna, P. (2025). The implications of digitalization in logistics after COVID-19. International research journal of multidisciplinary scope, 6(1), 509–527. 10.47857/irjms.2025.v06i01.02336
[12] Holloway, S. (2025). Navigating supply chain challenges with digital transformation for agility and resilience, 17. https://doi.org/10.20944/preprints202502.0970.v1
[13] Hamedani, G., Iman, Ajirloo, B., Klor, R., & Anar, S. (2024). Explaining the process of supply chain management developments towards intelligence: A study on scientometrics. Defense foresight, 8(31), 119–155. https://doi.org/10.22034/dfsr.2024.2013658.1740
[14] Rashed, M. S., Fakhry, S., Satour, R., Abdelkarim, E. A., Sobhy, M., & Pathania, S. (2025). IoT and digital twins for ssmart food supply chains. In food and industry 5.0: transforming the food system for a sustainable future (pp. 249–273). Springer. https://doi.org/10.1007/978-3-031-76758-6_16
[15] Zaman, S. A. A., Qazi, H., Zafar, A., & Jiang, Y. (2025). Emerging technologies and smart supply chain management: A roadmap for future success. Smart supply chain management: design, methods and impacts, 135–156. https://doi.org/10.1007/978-981-96-1333-5_8
[16] Raymond, L., Bergeron, F., Croteau, A. M., & St-Pierre, J. (2016). IT-enabled knowledge management for the competitive performance of manufacturing SMEs: An absorptive capacity-based view. Knowledge and process management, 23(2), 110–123. https://doi.org/10.1002/kpm.1503
[17] Owusu-Berko, L. (2025). Advanced supply chain analytics: Leveraging digital twins, IoT and blockchain for resilient, data-driven business operations, 2581–9615. https://doi.org/10.30574/wjarr.2025.25.2.0572
[18] Häckel, B., Übelhör, J., & Voit, C. (2020). Creating competitive advantage in e-business value chains by using excess capacity via IT-enabled marketplaces. ACM sigmis database: the database for advances in information systems, 51(3), 97–118. https://doi.org/10.1177/09722629241264429
[19] Sore, S., Saunila, M., Ukko, J., & Helkkula, A. (2023). Business-to-business value co-creation: Suppliers’ perspective of essential information systems capabilities. Journal of creating value, 9(1), 81–106. https://doi.org/10.1177/23949643221121857
[20] Williams, S., Williams, N., & others. (2003). The business value of business intelligence. Business intelligence journal, 8, 30–39. http://dx.doi.org/10.1016/B978-012372499-1/50002-8
[21] Ash, C. G., & Burn, J. M. (2003). Assessing the benefits from e-business transformation through effective enterprise management. European journal of information systems, 12(4), 297–308. https://doi.org/10.1057/palgrave.ejis.3000476
[22] Ghane Azad, A. (2023). The role of e-commerce platforms in improving supply chain processes with a value creation structure approach. The first international conference on management, business, economics and accounting. Civilica-Izmir-Türkiye. https://civilica.com/doc/1667497
[23] Bahman Oramani, S., & Kaviani, F. (2024). Investigating the impact of digital leadership and digital supply chain on sustainable competitive advantage. The 25th national conference on computer science, engineering and information technology. Civilica-Babol-Iran. https://civilica.com/doc/2196145
[24] Aghajani, H., Shariati, Z., & Hosseini, A. (2020). Explaining the evolutionary process and components affecting the e-business model in Iranian startups. Journal of improvement management, 14(1), 127–147. https://doi.org/10.22034/jmi.2020.106794
[25] Iman Khan, N. (2018). E-business and the performance of emerging firms. Quarterly journal of economic modeling.Vol. undefined, p. (In Persian). Civilica. https://civilica.com/doc/1860018
[26] Amiri, Salarzahi, Parish, & Ruqiya. (2011). Identifying and prioritizing factors for implementing e-business in small and medium-sized enterprises using fuzzy MADM. Change management research paper, 3(Fall and Winter 2011), 54–75. https://doi.org/10.22067/pmt.v0i0.15937
[27] Crowston, K., Rubleske, J., & Howison, J. (2015). Coordination theory: A ten-year retrospective. In Human-computer interaction and management information systems: foundations (134–152). Routledge. https://www.taylorfrancis.com/chapters/edit/10.4324/9781315703619
[28] Zhu, Z., Zhao, J., Tang, X., & Zhang, Y. (2015). Leveraging e-business process for business value: A layered structure perspective. Information & management, 52(6), 679–691. https://doi.org/10.1016/j.im.2015.05.004
[29] Sedera, D., Lokuge, S., Grover, V., Sarker, S., & Sarker, S. (2016). Innovating with enterprise systems and digital platforms: A contingent resource-based theory view. Information & management, 53(3), 366–379. https://doi.org/10.1016/j.im.2016.01.001
[30] Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. v. (2013). Digital business strategy: Toward a next generation of insights. MIS quarterly, 471–482. https://www.jstor.org/stable/43825919
[31] Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319–340. https://doi.org/10.2307/249008
[32] Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. K. (1990). The processes of technological innovation. Lexington Books. https://cir.nii.ac.jp/crid/1971712334809816714
[33] Gul, M., & Yucesan, M. (2022). Performance evaluation of Turkish Universities by an integrated Bayesian BWM-TOPSIS model. Socio-Economic Planning Sciences, 80, 101173. https://doi.org/10.1016/j.seps.2021.101173
[34] Abolghasemian, M., Kheiri, A. O., & Saberifard, N. (2024). Prioritizing factors affecting the flexibility and performance of the digital supply chain system in the iranian food industry. System engineering and productivity, 4(1), 41-57. (In Persian). https://doi.org/10.22034/msb.2024.2025240.1194
[35] Davoudi, A., & Asgharizadeh, E. (2024). Application of digital supply chain on supply chain performance with respect to acceptable capabilities. Quarterly journal of progress and excellence research, undefined (undefined). 7(4). 1-13. (In Persian). https://civilica.com/doc/2224489
[36] Mehdipour, P., Safaei Ghadikolaee, A., Fallah Lajimi, H., & Aghajani, H. (2022). To assess digital supply chain in manufacturing industries (case study: Bedding industry). Management research in iran, 26(1), 139-163. (In Persian). https://dor.isc.ac/dor/20.1001.1.2322200.1401.26.1.6.3
[37] Salimi Zawiy, S. Q., Qasim, S., & Shams. (2023). Analysis of digital supply chain management (future development trend). Iranian rubber industry, 25(102), 49–62. https://doi.org/10.22034/irm.2021.136713
[38] Qaderi, S., & Arabi, S. (2016). Investigating the impact of supply chain strategies on supply chain performance and company performance, considering the mediating role of supply chain information systems strategies. [presentation]. The second international conference on new paradigms of management, innovation and entrepreneurship. (In Persian). https://civilica.com/doc/556156
[39] Mohammadi, G., Behbahani, F., & Esfandiyarpour, S. (2016). Investigating the impact of the role of information systems strategy on supply chain performance and the performance of the national southern oilfields company. Strategic management in industrial systems (Formerly industrial management), 2(32), 39. (In Persian). https://www.magiran.com/p1563161
[40] Hossein, R. S., Amir, A., & others. (2009). The effect of information sharing on competitive strategies and supply performance., 1(1), 37-48. (In Persian). https://ensani.ir/fa/article/20322
[41] Le, T. T., Nhu, Q. P. V., & Behl, A. (2024). Role of digital supply chain in promoting sustainable supply chain performance: the mediating of supply chain integration and information sharing. The international journal of logistics management, 23. https://doi.org/10.1108/IJLM-01-2024-0031
[42] Jiashu, X., & Zhao, X. (2023). Information sharing facilitates sustainable business operations: Case analysis of teslas supply Chain. Political sciences, 32(1), 169–174. http://dx.doi.org/10.54254/2754-1169/32/20231591
[43] Aslam, P., & Shilpa, R. (2023). Development of a framework to digitalize the data flow network between manufacturer and customer. 2023 international conference on new frontiers in communication, automation, management and security (ICCAMS) (Vol. 1, pp. 1–6). IEEE. https://doi.org/10.1109/ICCAMS60113.2023.10525783
[44] Baah, C., Opoku Agyeman, D., Acquah, I. S. K., Agyabeng-Mensah, Y., Afum, E., Issau, K., … & Faibil, D. (2022). Effect of information sharing in supply chains: understanding the roles of supply chain visibility, agility, collaboration on supply chain performance. Benchmarking: an international journal, 29(2), 434–455. http://dx.doi.org/10.1108/BIJ-08-2020-0453
[45] Pu, X., Wang, Z., & Chan, F. T. S. (2020). Adoption of electronic supply chain management systems: The mediation role of information sharing. Industrial management & data systems, 120(11), 1977–1999. https://doi.org/10.1108/IMDS-06-2019-0346
[46] Zhu, Z., Zhao, J., & Bush, A. A. (2020). The effects of e-business processes in supply chain operations: Process component and value creation mechanisms. International journal of information management, 50, 273–285. https://doi.org/10.1016/j.ijinfomgt.2019.07.001
[47] Khan, M., Hussain, M., & Saber, H. M. (2016). Information sharing in a sustainable supply chain. International journal of production economics, 181, 208–214. https://doi.org/10.1016/j.ijpe.2016.04.010
[48] Bhargava, B., Ranchal, R., & Othmane, L. Ben. (2013). Secure information sharing in digital supply chains. 2013 3rd IEEE international advance computing conference (IACC). (636–1640). IEEE. https://doi.org/10.1109/IAdCC.2013.6514473
[49] Qi, W., & Qingyu, L. (2010). Information sharing in supply chain management. 2010 ninth international symposium on distributed computing and applications to business, engineering and science. (410–413). IEEE. https://doi.org/10.1109/DCABES.2010.89
[50] Fiala, P. (2005). Information sharing in supply chains. Omega, 33(5), 419–423. https://doi.org/10.1016/j.omega.2004.07.006
[51] Lee, H. L., So, K. C., & Tang, C. S. (2000). The value of information sharing in a two-level supply chain. Management science, 46(5), 626–643. https://doi.org/10.1287/mnsc.46.5.626.12047
[52] Croom, S. R. (2005). The impact of e-business on supply chain management: An empirical study of key developments. International journal of operations & production management, 25(1), 55–73. https://doi.org/10.1108/01443570510572240
[53] Lee, H. L., & Whang, S. (2004). E-business and supply chain integration. In The practice of supply chain management: where theory and application converge. (123–138). Springer. https://doi.org/10.1007/0-387-27275-5_8
[54] Farbod, E., Hamidieh, A., & Amininia, H. (2023). Investigating the impact of supply chain dynamics on financial performance with supply chain disruption structure approach. Innovation management and operational strategies, 4(2), 100-116. (In Persian). https://doi.org/10.22105/imos.2022.345942.1235
[55] Bush, A. A., Tiwana, A., & Rai, A. (2010). Complementarities between product design modularity and IT infrastructure flexibility in IT-enabled supply chains. IEEE transactions on engineering management, 57(2), 240–254. https://doi.org/10.1109/TEM.2010.2040741
[56] Hsin Chang, H., Tsai, Y.-C., & Hsu, C.-H. (2013). E-procurement and supply chain performance. Supply chain management: an international journal, 18(1), 34–51. https://doi.org/10.1108/13598541311293168
[57] Rai, A., & Tang, X. (2010). Leveraging IT capabilities and competitive process capabilities for the management of interorganizational relationship portfolios. Information systems research, 21(3), 516–542. https://doi.org/10.1287/isre.1100.0299
[58] Gefen, D., Rigdon, E. E., & Straub, D. (2011). Editor’s comments: An update and extension to SEM guidelines for administrative and social science research. MIS quarterly, 3–7. https://doi.org/10.2307/23044042
[59] Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer nature. https://doi.org/10.1007/978-3-030-80519-7
[60] Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences. Routledge. https://doi.org/10.4324/9780203774441
[61] Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British journal of management, 17(4), 263–282. https://doi.org/10.1111/j.1467-8551.2006.00500.x
[62] Wetzels, M., Odekerken-Schröder, G., & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS quarterly, 177–195. https://doi.org/10.2307/20650284
[63] Sangar, A. B., & Iahad, N. B. A. (2013). Critical factors that affect the success of business intelligence systems (BIS) implementation in an organization. Intelligence, 12(2), 14–16. https://d1wqtxts1xzle7.cloudfront.net/118350619
[64] Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European journal of marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189
[65] Desai, M., & Shah, M. (2021). An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional Neural Network (CNN). Clinical ehealth, 4, 1–11. https://doi.org/10.1016/j.ceh.2020.11.002
[66] Popescu, M. C., Balas, V. E., Perescu Popescu, L., & Mastorakis, N. (2009). Multilayer perceptron and neural networks. WSEAS transactions on circuits and systems, 8(7), 579–588. https://d1wqtxts1xzle7.cloudfront.net/69679997/29-485
[67] Wang, R., Asghari, V., Cheung, C. M., Hsu, S. C., & Lee, C. J. (2022). Assessing effects of economic factors on construction cost estimation using deep neural networks. Automation in construction, 134, 104080. https://doi.org/10.1016/j.autcon.2021.104080
[68] Wilson, D. R., & Martinez, T. R. (2003). The general inefficiency of batch training for gradient descent learning. Neural networks, 16(10), 1429–1451. https://doi.org/10.1016/S0893-6080(03)00138-2
