Artificial Intelligence and the Remodeling of the Arab Clan Culture: A Comprehensive Analysis
DOI:
https://doi.org/10.56830/IJGMBS06202301Keywords:
Artificial Intelligence, Clan System, Organizational Culture, Public Institutions, Arab CultureAbstract
For public organizations looking to assure fairness and meritocracy, the clan system— which refers to the employment and advancement of people based on their family or social connections—has long been a problem. By increasing efficiency, decreasing bias, and facilitating improved decision-making, artificial intelligence (AI) has the potential to drastically alter the clan system of public institutions. This study employs a qualitative methodology to offer insightful explanations of how AI can influence the clan system in public organizations. Qualitative research can aid in the development of responsible and efficient AI systems that support equality, empowerment, and effectiveness by examining the experiences and viewpoints of people participating in hiring and promotion processes. The study finds that artificial intelligence can lessen the impact of clan ties in the hiring process and guarantee that the best individuals are chosen for the position. Additionally, AI-powered tools can be used to find any irregularities in the hiring process and offer suggestions for improvement. AI can be used to evaluate performance and make promotion decisions in addition to recruitment. AI can assist in ensuring that promotions are based on merit rather than clan allegiance by evaluating employee performance data and spotting patterns and anomalies. Additionally, AI can offer insight into the knowledge and training that will best increase performance, enabling public agencies to give their staff members specialized training and development opportunities. In general, this study concludes that the use of these technologies is ethical and transparent. It is important to ensure that they are applied ethically and transparently to avoid unintended consequences and ensure that they benefit all people equally. In addition, the study emphasizes the importance of considering the cultural and social context in which AI is implemented to ensure that it is consistent with community values and norms
References
Abdeldayem, M. M., & Aldulaimi, S. H. (2020). Trends and opportunities of artificial intelligence in human resource management: Aspirations for public sector in Bahrain. International Journal of Scientific and Technology Research: 9(1), 3867-3871.
Aldulaimi, S. H., Abdeldayem, M. M., Keir, M. Y., & Abdelhakim, M. (2022). Proposed
Model of Work Ethics in Artificial Intelligence and Emerging Digital Technologies.In 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) (pp. 337-345). IEEE. DOI: https://doi.org/10.1109/ICETSIS55481.2022.9888900
Aldulaimi, S. H., Abdeldayem, M. M., Mowafak, B. M., & Abdulaziz, M. M. (2021). Experimental Perspective of Artificial Intelligence Technology in Human Resources Management . Applications of Artificial Intelligence in Business, Education and Healthcare, 487-511. DOI: https://doi.org/10.1007/978-3-030-72080-3_26
Ali, A. H., Abdullah, I. D., Aswad, A. R., Abdeldayem, M. M., & Aldulaimi, S. H. (2022). Human Rights and Artificial Intelligence: Evaluation of Legal Challenges and Potential Risk. In 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) (pp. 361-367). IEEE. DOI: https://doi.org/10.1109/ICETSIS55481.2022.9888888
Baqi, A., Abdeldayem, M. M., & Aldulaimi, S. H. (2022). Embedding Artificial Intelligence and Green Ideology in Formulating Corporate and Marketing Strategies. In 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) (pp. 1-4). IEEE. DOI: https://doi.org/10.1109/ICETSIS55481.2022.9888893
Basu, S., Majumdar, B., Mukherjee, K., Munjal, S., & Palaksha, C. (2022). The role of artificial intelligence in HRM: A systematic review and future research direction. Human Resource Management Review, 100893. DOI: https://doi.org/10.1016/j.hrmr.2022.100893
Bostrom, N., & Yudkowsky, E. (2018). The ethics of artificial intelligence. Chapman and Hall/CRC. In Artificial intelligence safety and security , (pp. 57-69). DOI: https://doi.org/10.1201/9781351251389-4
Darwish, S. (2014). Education and Human Capital Development in Bahrain:" Future International Collaboration with Malaysia. International Journal of Academic Research in Management (IJARM) Vol, 3, 321-334.
Fan, H., Li, C., Xue, C., & Yu, M. (2023). Clan culture and patterns of industrial specialization in China. Journal of Economic Behavior & Organization, 207, 457-478. DOI: https://doi.org/10.1016/j.jebo.2023.01.026
Gao, L., Li, G., Tsai, F., Gao, C., Zhu, M., & Qu, X. (2023). The impact of artificial intelligence stimuli on customer engagement and value co-creation: the moderating role of customer ability readiness. Journal of Research in Interactive Marketing, 17(2), 317-333. DOI: https://doi.org/10.1108/JRIM-10-2021-0260
Huang, L., Ma, M., & Wang, X. (2022). Clan culture and risk-taking of Chinese enterprises. China Economic Review, 72, 101763. DOI: https://doi.org/10.1016/j.chieco.2022.101763
Iqbal, S. (2022). Are Medical Educators Primed To Adopt Artificial Intelligence In DOI: https://doi.org/10.53708/hpej.v5i1.1707
Healthcare System And Medical Education?. Health Professions Educator Journal, 5(1), 7-8.
Kaushal, N., Kaurav, R. P., Sivathanu, B., & Kaushik, N. (2021). Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis. . Management Review Quarterly, 1-39. DOI: https://doi.org/10.1007/s11301-021-00249-2
Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447-453. DOI: https://doi.org/10.1126/science.aax2342
Rao, X., Zhou, J., Ding, K., Wang, J., Fu, J., & Zhu, Q. (2022). Research on the cultural tracing of the patriarchal clan system of traditional buildings in the Eastern Zhejiang Province, China, based on space syntax The case study of Huzhai in Shaoxing. Sustainability, 14(12), 7247. DOI: https://doi.org/10.3390/su14127247
Tripathy, S. (2020). A study on the different dimensions of Bodo tribal community of Dalbarivillage in Barama block of Baksa district in Assam, India. International journal of research culture society, 4(1), 87-91.
Zhang, C. (2020). Clans, entrepreneurship, and development of the private sector in China. Journal of Comparative Economics, 48(1), 100-123. DOI: https://doi.org/10.1016/j.jce.2019.08.008
