Author(s):
Sumi K K, Vishwa Narayan S, Manu K S
Email(s):
manu.ks@christuniversity.in
DOI:
10.52711/2321-5763.2024.00032
Address:
Sumi K K1, Vishwa Narayan S1, Manu K S2
1Student, School of Business and Management, Christ (Deemed to be University), Bangalore.
2Associate Professor, School of Business and Management, Christ (Deemed to be University), Bengaluru.
*Corresponding Author
Published In:
Volume - 15,
Issue - 2,
Year - 2024
ABSTRACT:
In today's digital age, the E-commerce sector is experiencing a profound transformation driven by Artificial Intelligence (AI). The study delves into the ways AI is reshaping the E-commerce landscape, highlighting its impact on customer experiences, marketing strategies, supply chain management, and overall business operations. As AI technologies continue to evolve, businesses in the E-commerce domain must adapt and embrace these changes to stay competitive and meet the evolving expectations of consumers. This article explores the numerous facets of AI in E-commerce and underscores its role as a game-changer in the industry. Further the study focuses on the main challenges of implementing AI techniques in E-Commerce sector.
Cite this article:
Sumi K K, Vishwa Narayan S, Manu K S. Applications of Artificial Intelligence in E-Commerce – From Clicks to Convictions. Asian Journal of Management. 2024;15(2):205-0. doi: 10.52711/2321-5763.2024.00032
Cite(Electronic):
Sumi K K, Vishwa Narayan S, Manu K S. Applications of Artificial Intelligence in E-Commerce – From Clicks to Convictions. Asian Journal of Management. 2024;15(2):205-0. doi: 10.52711/2321-5763.2024.00032 Available on: https://ajmjournal.com/AbstractView.aspx?PID=2024-15-2-18
5. REFERENCES:
1. Adaji, I. Towards Improving E-commerce Users Experience Using Personalization and Persuasive Technology. International Conference on User Modeling, Adaptation, and Personalization. https://doi.org/10.1145/3079628.3079707 https://dl.acm.org/doi/10.1145/3079628.3079707
2. Adaji, I., and Vassileva, J. Evaluating Personalization and Persuasion in ECommerce. University of Saskatchewan, Saskatoon, Canada. 2016 https://ceur-ws.org/Vol-1582/8Adaji.pdf
3. Afroz Lari, H., Vaishnava, K., and K S, M.). Artifical intelligence in e-commerce: Applications, implications and challenges. Asian Journal of Management. 2022; 235–244. https://doi.org/10.52711/2321-5763.2022.00041
4. Alan J. Greco, Edna B. Johnson, Linda E. Swayne. Will Older Models Turn Off Shoppers? International Journal of Advertising. 1997 https://doi.org/10.1111/j.0265-0487.1997.00039.pp.x
5. Aktepe, A., Yanik, E., and Ersöz, S. Demand forecasting application with regression and artificial intelligence methods in a construction machinery company. Journal of Intelligent Manufacturing. 2021; 32(6): 1587–1604. https://doi.org/10.1007/s10845-021-01737-8
6. Araújo, T. G., and Casais, B. Customer Acceptance of Shopping-Assistant Chatbots. Smart Innovation, Systems and Technologies.2020; 278–287. https://doi.org/10.1007/978-981-15-1564-4_26
7. Artificial Intelligence. IAMAI. https://www.iamai.in/Bank for International Settlements. Bank for International Settlements. https://www.bis.org/
8. Borges, A., Laurindo, F. J. B., De Mesquita Spinola, M., Gonçalves, R. F., and De Mattos, C. A. The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions. International Journal of Information Management. 2021; 57: 102225. https://doi.org/10.1016/j.ijinfomgt.2020.102225
9. Business News Today: Read Latest Business news, India Business News Live, Share Market and Economy News, The Economic Times. The Economic Times. https://economictimes.indiatimes.com/
10. Dagan, A., Guy, I., and Novgorodov, S. An Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search. International ACM SIGIR Conference on Research and Development in Information. 2021. Retrieval.
11. Dagan, A., Guy, I., and Novgorodov, S. Shop by image: characterizing visual search in e-commerce. Information Retrieval. 2023; 26(1). https://doi.org/10.1007/s10791-023-09418-1 https://link.springer.com/article/10.1007/s10791-023-09418-1#citeas
12. Daugherty, P.R., James Wilson, H. and Michelman, P. Revisiting the jobs artificial intelligence will create. MIT Sloan Management Review. 2019; 60(4): 1-8. https://sloanreview.mit.edu/article/revisiting-the-jobs-artificial-intelligence-will-create/
13. E-commerce in India: Industry Overview, Market Size and growth| IBEF. Retrieved March 27, 2023, from https://www.ibef.org/industry/ecommerce
14. Fokina, M. (2023, January 18). The Future of Chatbots: 80+ Chatbot Statistics for 2023. Tidio. https://www.tidio.com/blog/chatbot-statistics/https://www.tidio.com/blog/chatbot-statistics/
15. Grewal, D., Roggeveen, A. L., and Nordfält, J. The Future of Retailing. Journal of Retailing. 2017; 93(1): 1–6. https://doi.org/10.1016/j.jretai.2016.12.008https://www.sciencedirect.com/science/article/pii/S0022435916300872
16. Hasan, I., and Rizvi, S. AI-Driven Fraud Detection and Mitigation in e-Commerce Transactions. Lecture Notes on Data Engineering and Communications Technologies. 2022: 403–414. https://doi.org/10.1007/978-981-16-6289-8_34 https://link.springer.com/chapter/10.1007/978-981-16-6289-8_34
17. India: e-Commerce Market size 2030. Statista. (2023, January 5). Statista. https://www.statista.com/statistics/792047/india-e-commerce-market-size/
18. Kraus, D., Reibenspiess, V., and Eckhardt, A. How Voice Can Change Customer Satisfaction: A Comparative Analysis between E-Commerce and Voice Commerce. Wirtschaftsinformatik Und Angewandte Informatik. 2019: 1868–1879. https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1337andcontext=wi2019https://aisel.aisnet.org/wi2019/specialtrack01/papers/7/
19. Kumar, P., J, P., Pragathi, G., and J, M. Inventory Management using Machine Learning. International Journal of Engineering Research and Technology. 2020; 9(6).
20. Li, F., Kant, S., Araki, S., Bangera, S., and Shukla, S. S. Neural Networks for Fashion Image Classification and Visual Search. ArXiv (Cornell University). 2020 https://doi.org/10.48550/arxiv.2005.08170 https://arxiv.org/abs/2005.08170
21. Lingam, Y. The role of Artificial Intelligence (AI) in making accurate stock decisions in E-commerce industry. International Journal of Advance Research, Ideas and Innovations in Technology. 2018; 4(3): 2281–2286. https://www.ijariit.com/manuscripts/v4i3/V4I3-1997.pdf
22. Luo, X., Tong, S., Fang, Z., and Qu, Z. Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases. Marketing Science. 2019. https://doi.org/10.1287/mksc.2019.1192 https://pubsonline.informs.org/doi/epdf/10.1287/mksc.2019.1192
23. Marong, M., K Batcha, N., and Mafas, R. Sentiment Analysis in E-Commerce: A Review on The Techniques and Algorithms. Journal of Applied Technology and Innovation, 2020; 4.
24. https://jati.sites.apiit.edu.my/files/2020/01/Sentiment-Analysis-in-E-Commerce-A-Review-on-The-Techniques-and-Algorithms.pdf
25. Massachusetts Institute of Technology. (2019, March 27). Revisiting the Jobs Artificial Intelligence Will Create | MIT Sloan Management Review. MIT Sloan Management Review.
26. https://sloanreview.mit.edu/article/revisiting-the-jobs-artificial-intelligence-will-create/
27. Mishra, N., and Mukherjee, S. Effect of Artificial Intelligence on Customer Relationship Management of Amazon in Bangalore. International Journal of Manangement. 2019; 10(4). https://doi.org/10.34218/ijm.10.4.2019.016 file:///Users/raamkshore_kumaravel/Downloads/SSRN-id3524231.pdf
28. Nougarahiya, S., Shetty, G., and Mandloi, D. A Review of E – Commerce in India: The Past, Present, and the Future. International Journal of Multidisciplinary. 2021; 6(3).
29. Panigrahi, D., and Karuna, M. A Review on Leveraging Artificial Intelligence to Enhance Business Engagement in Ecommerce. International Journal of Research Publication and Reviews. 2021; 2(6): 239–250. https://www.ijrpr.com/uploads/V2ISSUE6/IJRPR531.pdf
30. Pardalos, P. M., and Udenio, M. AI in Logistics and Supply Chain Management. Social Science Research Network. 2021 https://doi.org/10.2139/ssrn.3862541 https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3862541
31. Riku Togashi and Tetsuya Sakai. Visual Intents vs. Clicks, Likes, and Purchases in E-commerce, SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. 2020: 1869–1872, https://doi.org/10.1145/3397271.3401293
32. Rodrigues, V. F., Policarpo, L. M., da Silveira, D. E., da Rosa Righi, R., da Costa, C. A., Barbosa, J. L., Antunes, R. S., Scorsatto, R., and Arcot, T. Fraud detection and prevention in e-commerce: A systematic literature review. Electronic Commerce Research and Applications. 2022; 56: 101207. https://doi.org/10.1016/j.elerap.2022.101207
33. https://www.sciencedirect.com/science/article/pii/S1567422322000904#fn2
34. Russell, S., and Norvig, P. Artificial Intelligence: A Modern Approach, Global Edition. https://scholar.alaqsa.edu.ps/9195/1/Artificial%20Intelligence%20A%20Modern%20Approach%20%283rd%20Edition%29.pdf%20%28%20PDFDrive%20%29.pdf 2016
35. Sun, C., Shi, Z., Liu, X., Ghose, A., Li, X., and Xiong, F. The Effect of Voice AI on Consumer Purchase and Search Behavior. Social Science Research Network. 2019 https://doi.org/10.2139/ssrn.3480877 file:///Users/Raamkshore_Kumaravel/Downloads/SSRN-id3480877.pdf
36. US Voice Assistant Users, 2022-2026 (millions and % of populations). (2022, July 8). Insider Intelligence. https://www.insiderintelligence.com/chart/258519/us-voice-assistant-users-2022-2026-millions-of-population
37. Vanaja, S., and Belwal, M. Aspect-Level Sentiment Analysis on E-Commerce Data. 2018 International Conference on Inventive Research in Computing Applications (ICIRCA). 2018 https://doi.org/10.1109/icirca.2018.8597286 https://ieeexplore.ieee.org/abstract/document/8597286
38. Zhang, Y., Pan, P., Zheng, Y., Zhao, K., Zhang, Y., Ren, X., and Jin, R. Visual Search at Alibaba. ArXiv (Cornell University). 2021 https://doi.org/10.1145/3219819.3219820 https://arxiv.org/abs/2102.04674