Government Guidelines to Transform the Online Shopping Experience for Customers

Authors

  • Muhammad Younus Universitas Muhammadiyah Yogyakarta
  • Achmad Nurmandi Universitas Muhammadiyah Yogyakarta
  • Suswanta Universitas Muhammadiyah Yogyakarta
  • Ibrahim Shah The Aga Khan University, Karachi, Pakistan

DOI:

https://doi.org/10.58812/wsis.v1i03.49

Keywords:

Artificial Intelligence, Bargain, Algorithm, E-Commerce

Abstract

Digital Transformation and Innovation are always essential parts of continuous growth in any field and business, through which any business model can adjust and adapt to the ever-changing world. E-Commerce is also one example of it, which in the past decade has been a smart way because of the online shopping experience, but after covid-19, its importance has increased even more. That is why we believe that in order to make E-Commerce relevant in the future, it is crucial to make innovations in it to transform it according to the customer requirement. So, This Article will give guidelines and direction from the government end to Private Sector in order to change the dynamics of Online Shopping and make it adaptable according to future technological advancement and expectations through different ideas that we will be going to discuss here. We will clarify through findings here that it is vital to emphasize now, and planning for it accordingly will provide ease and an advantage over others in the future. We attempted to map out each stage of online and offline purchasing in order to detect any gaps that may currently exist. The causes of the gaps were uncovered, and eventually, ways to automate the process and incorporate it into the online shopping experience were discovered, which we will discuss in detail in paper. As a result, the key to this study is government research, which is then implemented as recommendations to the private sector to continue improving the online shopping experience.

References

E. W. Mainardes, A. R. S. Coutinho, and H. M. B. Alves, “The influence of the ethics of E-retailers on online customer experience and customer satisfaction,” J. Retail. Consum. Serv., vol. 70, p. 103171, 2023.

H. L. Ondercin and S. A. Fulton, “Bargain shopping: How candidate sex lowers the cost of voting,” Polit. Gend., vol. 16, no. 3, pp. 711–737, 2020.

N. H. Mohd Wasilan, “Perceived value of bargain shopping among youth.” Universiti Teknologi MARA, 2013.

W. Yang, P. Vatsa, W. Ma, and H. Zheng, “Does mobile payment adoption really increase online shopping expenditure in China: A gender-differential analysis,” Econ. Anal. Policy, vol. 77, pp. 99–110, 2023.

N. Zhao, “Improvement of Cloud Computing Medical Data Protection Technology Based on Symmetric Encryption Algorithm,” J. Test. Eval., 2022.

T. Zhang and C. Deng, “Technical Repair Method of Poyang Bodiless Lacquerware Based on Scale-Invariant Feature Transform Algorithm for Healthcare Vision,” J. Test. Eval., vol. 51, no. 1, pp. 315–326, 2023.

R. Taplin, Artificial Intelligence, Intellectual Property, Cyber Risk and Robotics: A New Digital Age. Taylor & Francis, 2022.

H. J. Oh, J. Kim, J. J. C. Chang, N. Park, and S. Lee, “Social benefits of living in the metaverse: The relationships among social presence, supportive interaction, social self-efficacy, and feelings of loneliness,” Comput. Human Behav., vol. 139, p. 107498, 2023.

R. M. Ricoy-Casas, “The Metaverse as a New Space for Political Communication,” in Communication and Applied Technologies: Proceedings of ICOMTA 2022, Springer, 2022, pp. 325–334

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Published

2023-04-30

How to Cite

Younus, M., Nurmandi, A., Suswanta, & Shah, I. (2023). Government Guidelines to Transform the Online Shopping Experience for Customers. West Science Interdisciplinary Studies, 1(04), 143–149. https://doi.org/10.58812/wsis.v1i03.49