Author
Listed:
- Khadija Hassan Al Maqbali
- Zouhaier Slimi
- Adela Balasa
Abstract
This paper systematically discusses the impact of using AI in Oman's logistics sector and examines the opportunities and challenges of using AI in Oman's logistics sector. Besides, it suggests solutions for improving AI use in the logistics sector in Oman. The main objective of this paper is to investigate the impact of using AI in Oman's logistics sector. The specific objectives are to identify the opportunities for using AI in the logistics sector in Oman, identify the issues surrounding using AI in the logistics sector in Oman, and recommend possible solutions to improve the use of AI in the logistics sector in Oman. The study used both primary and secondary data based on mixed methods: quantitative and qualitative. The quantitative approach via a questionnaire tool to collect data from many respondents. The qualitative method has been observed using interviews and web articles to accumulate further information from people's opinions and thoughts. The outcomes indicated some advantages of AI: improving efficiency and reducing the challenges currently facing the logistics sector, diversifying the income sources, and enhancing Oman's economy. Findings revealed that the most significant AI challenges are unemployment, a long time and the high cost for implementation, lack of awareness of AI potentials, and requiring training with new skills. The findings came up with solutions related to educating students, spreading awareness, and training employees. The study has limitations such as insufficient information on the research subject, difficulties finding respondents who have enough experience to answer the questions efficiently, and time constraints.
Suggested Citation
Khadija Hassan Al Maqbali & Zouhaier Slimi & Adela Balasa, 2021.
"The Pros and Cons of Artificial Intelligence use in the Logistics Sector in Oman,"
European Journal of Business and Management Research, European Open Science, vol. 6(4), pages 197-208, July.
Handle:
RePEc:epw:ejbmr0:v:6:y:2021:i:4:id:50973
DOI: 10.24018/ejbmr.2021.6.4.973
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejbmr0:v:6:y:2021:i:4:id:50973. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejbmr .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.