The Impact of Utilizing Artificial Intelligence in Human Resource Management on the Quality of Administrative Decisions and the Sustainability of Institutional Performance: An Applied Study at Erbil Investment and Finance Bank

Yousif Riyadh Mhmood; Rawad Fadhil Abed Alabboodi; Ashwaq Thabit Abed

doi:10.47134/jampk.v3i3.1085

Authors

Yousif Riyadh Mhmood University of Al-Qadisiyah
Rawad Fadhil Abed Alabboodi University of Al-Qadisiyah
Ashwaq Thabit Abed University of Al-Qadisiyah

DOI:

https://doi.org/10.47134/jampk.v3i3.1085

Keywords:

Intelligence Artificial, Management Resources Humanity, Quality Decisions Administrative, Sustainability Performance Institutional Bank Erbil for Investment and Funding

Abstract

The research aims to study effect employment Technologies intelligence artificial in administration Resources Humanity on quality Decisions Administrative sustainability Performance Institutional, That's from during application field in bank Erbil For investment and the funding. and it started. the study from hypothesis Its meaning that Use Applications intelligence artificial in Jobs Resources Humanity Contributes in Strengthening efficiencyOperations Administrative, and improving accuracy and speed Decisions, and support investigation performance Founders Sustainable. Adopted, Search Curriculum Descriptive Analytical, And it was used questionnaire as a tool President To collect Data from sample from staff in the bank and it was analysis Data Using Methods Statistics The occasion . And it showed results Search presence effect positive This indication Statistics To hire intelligence artificial in administration Resources Humanity on quality Decisions Administrative, as Contributes In a way active in Strengthening Sustainability Performance Institutional. And concluded Search to group from Recommendations, from The most prominent of them necessity Expansion in adoption Technologies and tools intelligenceartificial, As well as development Structure Infrastructure Digital, and qualification Resources Humanity In what It fits with requirements Transformation digital in sector The banker.

References

Bharadwaj , A., El Sawy , O. A., Pavlou , P. & Venkatraman , N. (2013). Digital Business Strategy and Value Creation: Framing the Dynamic Cycle of Control Points . MIS Quarterly, 37(2), ppP340-367.

Bondarouk , T., Parry, E. & Furtmueller , E. (2017). Electronic HRM: Four Decades of Research on Adoption and Consequences . International Journal of Human Resource Management, 28(1), ppP33-57.

Cascio , W. F. & Montealegre , R. (2016). How Technology Is Changing Work and Organizations . Annual Review of Organizational Psychology and Organizational Behavior, 3, ppP20-45.

Chen, Y., Xu , H., Lu, Y. & Wang, B. (2020). Artificial Intelligence in Business Operations and Its Impact on Corporate Sustainability . Journal of Cleaner Production, 258, ppP89-101.

Coltman , T., Devinney , T. M., Latukefu , A. & Midgley , D. F. (2015). E-Business and Organizational Learning: Building the Sustainable Organization . Journal of Strategic Information Systems, 24(3), ppP134-150.

Davenport, T., Guha , A., Grewal , D. & Bressgott , T. (2020). How Artificial Intelligence Will Change the Future of Human Resource Management . Journal of Business Research, 121, ppP120-130.

Dulebohn , J. H. & Johnson, R. D. (2013). Human Resource Metrics and Analytics: A Review and Recommendations . Journal of Human Resource Management, 52(3), ppP89-109.

Ghosh , S. & Scott, J. E. (2021). Big Data Analytics for Enhancing Organizational Decision-Making and Sustainability . Information Systems Journal, 31(1), ppP77-96.

Huang, M.-H. & Rust, R. T. (2021). Artificial Intelligence in Service . Journal of Service Research, 24(1), ppP78-95.

Huang, M.-H., Li, X. & Rust, R. T. (2019). Artificial Intelligence and Organizational Agility . Journal of Service Theory and Practice, 29(1), ppP54-73.

Jain, R., Kumar, S. & Sharma, S. (2021). Digital HR Platforms and Employee Engagement: Evidence from Emerging Markets . Human Resource Management International Digest, 29(5), ppP112-126.

Leicht-Deobald , U., Busch, T., Schank , C., Weibel , A., Scherer, A. & Schafheitle , S. (2019). The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity . Journal of Business Ethics, 160(2), ppP310-325.

Marler , J. H. & Boudreau, J. W. (2017). An Evidence-Based Review of HR Analytics . International Journal of Human Resource Management, 28(1), ppP15-38.

Meijerink , J., Bondarouk , T. & Lepak , D. (2020). HRM and AI: Implications for Employee Performance and Organizational Sustainability . Human Resource Management Review, 30(1), ppP55-65.

Ransbotham , S., Kiron , D., Gerbert , P. & Reeves, M. (2017). Reshaping Business With Artificial Intelligence: Closing the Gap Between Ambition and Action . MIT Sloan Management Review, 59(1), ppP210-217.

Russell, S. & Norvig , P. (2021). Artificial Intelligence: A Modern Approach . 4th Edition. Pearson, ppP45-50.

Shah, A., Irani , Z. & Sharif, A. M. (2020). Big Data and Predictive Analytics for Human Resource Management: A Review of Literature. Journal of Business Research, 121, ppP47-60.

Upadhyay , A. K. & Khandelwal , K. (2018). Applying Artificial Intelligence to HRM Practices: Challenges and Opportunities . Journal of Business Research, 92, ppP101-110.