Human Resource Management and Technology Development in Artificial Intelligence Adoption in the UAE Energy Sector

Author:

Almarashda Hassan Ali Hassan Altaffaq1,Baba Ishak Bin1,Ramli Azizul Azhar2,Memon Aftab Hameed3,Rahman Ismail Abdul4

Affiliation:

1. Faculty of Engineering Technology , Universiti Tun Hussein Onn Malaysia (UTHM) , 86400 Parit Raja, Batu Pahat, Johor , Malaysia

2. Faculty of Computer Science & Information Technology , Universiti Tun Hussein Onn Malaysia (UTHM) , 86400 Parit Raja, Batu Pahat, Johor , Malaysia

3. Department of Civil Engineering , Quaid-e-Awam University of Engineering, Sciences and Technology Nawabshah , Pakistan

4. Faculty of Civil and Environmental Engineering , Universiti Tun Hussein Onn Malaysia (UTHM) , 86400 Parit Raja, Batu Pahat, Johor , Malaysia

Abstract

Abstract Artificial Intelligence (AI) is proved a very effective technique in reducing complexity and making suitable quick decisions for achieving success. Artificial Intelligence is an emerging area and growing fast. It is used successfully in various fields. In UAE also, AI is being used in several sectors. Now the government of UAE has promoted AI in the energy sector to get the maximum of its benefits. Hence, this study evaluated various indicators that affect the promotion of AI in the energy section of the UAE. With the help of a questionnaire survey, 350 questionnaire forms were analyzed to prioritize the parameters affecting AII adoption. From the analysis results it was found that “Organization use AI to provide effective business innovation”, “Organizations use AI to align with its business strategy”, and “Organization use AI to improve the levels of production” are the key motivating factor to adopt AI. Significant parameters of AI technology include are; AI Technology is user friendly, AI Technology is able to improve the quality of the work and AI Technology fits well with the tasks involved; are reported as significant technological parameters to adopt AI. On the other hand, Referral person is required if facing difficulty with AI technology, and teammate support in using AI technology are essential parameters of the human resource management which affect AI adoption in the energy sector of the UAE. In addition, reliability and normality tests validated the data. Hence, these findings can be used to promote AI and understand the situation for making proper decisions.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

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