Investigating Online and Physical Retailing with the Perspective of Traditional Economic Geography in the COVID-۱۹ Era

سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 21

فایل این مقاله در 33 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_IJMEA-1-2_005

تاریخ نمایه سازی: 23 خرداد 1403

چکیده مقاله:

It is crucial to understand the needs of consumers, producers, and intermediaries (retailers) in the context of the rapid growth of companies and organizations. The use of a supply chain management system can greatly enhance the efficiency of order transmission and receipt. However, it is unfortunate that management systems, particularly supply chain management, have not fully capitalized on the opportunities offered by today's technology-driven and intelligent world. This presents an interesting challenge for management systems focusing on sustainable development goals, especially during times of crisis like the COVID-۱۹ pandemic. The outbreak and global spread of the coronavirus has exposed the vulnerability of the global supply chain. From the initial stages of sourcing raw materials to the production and distribution of goods, every step is susceptible to disruption. In light of this, companies must proactively anticipate potential issues and implement measures to restore and improve their supply chains. To raise awareness about this critical issue, it is important to identify the challenges faced by companies and businesses. This will enable us to develop strategies for improvement and recovery, both in online and physical retail, from the perspective of traditional economic geography. Supply chain recovery is of utmost importance and goes beyond crisis management, as it involves overcoming numerous challenges during the recovery phase. The severity and adverse effects of the pandemic may vary, making it crucial for businesses to carefully navigate the long-term and destructive impacts on their supply chains. Subsequently, the recovery of the supply chain in the post-pandemic era requires a comprehensive approach that encompasses both online and physical retail, taking into account traditional economic geography. Therefore, in the midst of an epidemic, identifying potential challenges in the supply chain and understanding their impact on post-disaster recovery strategies play a vital role. This understanding will inform the development of appropriate strategies to address these challenges, both in online and physical retail, from a traditional geographic perspective.It is crucial to understand the needs of consumers, producers, and intermediaries (retailers) in the context of the rapid growth of companies and organizations. The use of a supply chain management system can greatly enhance the efficiency of order transmission and receipt. However, it is unfortunate that management systems, particularly supply chain management, have not fully capitalized on the opportunities offered by today's technology-driven and intelligent world. This presents an interesting challenge for management systems focusing on sustainable development goals, especially during times of crisis like the COVID-۱۹ pandemic. The outbreak and global spread of the coronavirus has exposed the vulnerability of the global supply chain. From the initial stages of sourcing raw materials to the production and distribution of goods, every step is susceptible to disruption. In light of this, companies must proactively anticipate potential issues and implement measures to restore and improve their supply chains. To raise awareness about this critical issue, it is important to identify the challenges faced by companies and businesses. This will enable us to develop strategies for improvement and recovery, both in online and physical retail, from the perspective of traditional economic geography. Supply chain recovery is of utmost importance and goes beyond crisis management, as it involves overcoming numerous challenges during the recovery phase. The severity and adverse effects of the pandemic may vary, making it crucial for businesses to carefully navigate the long-term and destructive impacts on their supply chains. Subsequently, the recovery of the supply chain in the post-pandemic era requires a comprehensive approach that encompasses both online and physical retail, taking into account traditional economic geography. Therefore, in the midst of an epidemic, identifying potential challenges in the supply chain and understanding their impact on post-disaster recovery strategies play a vital role. This understanding will inform the development of appropriate strategies to address these challenges, both in online and physical retail, from a traditional geographic perspective.

نویسندگان

Alireza Mosafa

۱CEO Hyperme Chain Store, Tehran, Iran

Farhad Folad

۲Vice Chairman of the Board & Vice President of Commerce Hyperme Chain Store, Tehran, Iran

Hamid Riazi

۳Ph.D. Candidate, Department of Industrial Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • Ahmad, B., & Benkherouf, L. (2020). On an optimal replenishment ...
  • Balkhi, Z. T. (1999). On the global optimal solution to ...
  • Barman, A., Das, R., & De, P. K. (2021). Impact ...
  • Basu, R. (2020). COVID control in India: A look back. ...
  • Bishi, B., Behera, J., & Sahu, S. K. (2019). Two-warehouse ...
  • Dey, J. K., Mondal, S. K., & Maiti, M. (2008). ...
  • Garg, G., Singh, S., & Singh, V. (2020). A two ...
  • Gupta, A. S., Mukherjee, J., & Garg, R. (2023). Retailing ...
  • Hung, K.-C. (2011). An inventory model with generalized type demand, ...
  • Jaggi, C. K., Aggarwal, K., & Goel, S. (2006). Optimal ...
  • Koul, S., & Jasrotia, S. S. (2019). Product adoption by ...
  • Kumar, N., Dahiya, S., & Kumar, S. (2022). Two warehouse ...
  • Mohanta, K. K., Sharanappa, D. S., & Aggarwal, A. (2021). ...
  • Panda, G. C., Khan, M. A.-A., & Shaikh, A. A. ...
  • Paul, S. K., Chowdhury, P., Moktadir, M. A., & Lau, ...
  • Prasad, K., & Mukherjee, B. (2016). Optimal inventory model under ...
  • Rastogi, M., Singh, S., Kushwah, P., & Tayal, S. (2017). ...
  • Riazi, H., Doroodian, M., & Afshar-Nadjafi, B. (2022). Inventory Control ...
  • Rout, C., Chakraborty, D., & Goswami, A. (2021). A production ...
  • Shaikh, A. A., Cárdenas-Barrón, L. E., & Tiwari, S. (2019). ...
  • Tiwari, S., Cárdenas-Barrón, L. E., Goh, M., & Shaikh, A. ...
  • Wee, H.-M. (1993). Economic production lot size model for deteriorating ...
  • Zhang, J., Bai, Z., & Tang, W. (2014). OPTIMAL PRICING ...
  • نمایش کامل مراجع