The Challenges of Using Generative AI Applications in Electronic Commerce
There has been a lot of activity in recent months to monetize generative AI applications due to their growth in popularity across multiple sectors. Specifically, businesses with a digital direct-to-consumer (D2C) channel, (e.g. e-commerce websites, Instagram shops), are strategically investing in AI tools to improve consumer engagement, enhance marketing effectiveness, and invest in product development. Technology is undergoing a revolution thanks to generative AI, which creates highly personalized and realistic content automatically for a range of media. This study explores the panorama of generative AI applications in e-commerce; including task and technology classification, and maps the main challenges and concerns associated with generative AI applications in e-commerce, covering social, behavioral, and technical limitations.
Authors
- Ruaa Binsaddig (ORCID: https://orcid.org/0000-0002-8436-7218)
- Hassan Ali Al-Ababneh (ORCID: https://orcid.org/0000-0003-1136-8911)
- Mostafa Z. Ali (ORCID: https://orcid.org/0000-0003-3030-848X)
- Mohammad Rasmi Al-Mousa (ORCID: https://orcid.org/0000-0002-5176-0910)
- Mustafa S. Al-Shaikh (ORCID: https://orcid.org/0000-0003-1182-8818)
- Sabha Maria” Nawaf Alka’awneh
- Fawaz Mohd Salim Barhoush
Institutions
- Tafila Technical University (JO)
- Universiti Sains Malaysia (MY)
- Zarqa University (JO)
- University of Business and Technology (SA)
- Universidad de Sevilla (ES)
Publication Details
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1109/acit62805.2024.10876935
- Citations
- 3
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 1.59