Execution of Artificial Intelligence Approach in Human Resource Management Functions: Benefits and Challenges in Pakistan
DOI:
https://doi.org/10.31529/sjms.2018.5.1.8Keywords:
HRMAbstract
Artificial intelligence has a theatrical effect on management of the workforce in the future. This paper has highlighted the benefits and challenges to adoption of artificial intelligence approach in human resource management functions in Pakistan. Artificial intelligence-based human resource applications have robust potential to increase employee performance, engagement & retention while it also helps to reduce turnover, errors, time & biases in HR decision making. Artificial Intelligence needs to be incorporated by the organization in Pakistan for effective people management and HR decisions. Reluctance to the adoption of artificial intelligence in human resource management functions can demonstrate the devastating effect on the overall growth of the organization; thus, human resource leaders should prepare and train the human resource for the adoption of artificial intelligence & also address the concerns regarding man & machine interactions at the workplace. Yet, artificial intelligence cannot substitute the human element in human resource management, although if artificial intelligence united with capabilities of a human, would fetch on more intelligent solutions for HR. Hence, in today’s world, artificial intelligence is a formula for the success of HR.
References
Altaf, Z. (2018). Challenges! Pakistan can face because of Artificial intelligence. Retrieved February 5, 2019, from https://www.suchtv.pk/columns/item/66598-artificial-intelligence-challenges-pakistan-can-face-because-of-ia.html
Alvi, D. A. (2019). Pakistan’s place in artificial intelligence and computing. The Nation. Retrieved from https://nation.com.pk/20-Jan-2019/pakistan-s-place-in-artificial-intelligence-and-computing
Amir, F. (2018). Pakistan and Artificial Intelligence. Cutting Edge, 14(9). Retrieved from https://weeklycuttingedge.com/pakistan-and-artificial-intelligence/
Bosshart, D., Frick, K., Kwiatkowski, M., & Thalmann, L. (2018). Wellness 2030: The new techniques of happiness. GDI Gottlieb Duttweiler Institute & Global Wellness Institute.
Cappelli, P., Tambe, P., & Yakubovich, V. (2018). Artificial Intelligence in Human Resources Management: Challenges and a Path Forward. SSRN Electronic Journal.
Castro, D., & New, J. (2016). The Promise of Artificial Intelligence. Center for Data Innovation, 1–48.
Chui, M., Manyika, J., & Miremadi, M. (2018). What AI can and can’t do (yet) for your business | McKinsey. McKinsey Quarterly. Retrieved from https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/what-ai-can-and-cant-do-yet-for-your-business
Davenport, T., & Ronanki, R. (2018). 3 Things AI Can Already Do for Your Company. Harvard Business Review., EN, 108–116.
Donkor, C., Slobodjanjuk, A., Cremer, K., & Weisshaar, J. (2017). The way we work – in 2025 and beyond. PwC, 33.
Eubanks, B. (2018). Artificial Intelligence for HR: Use AI to Support and Develop a Successful Workforce (1 edition). London, N.Y: Kogan Page.
Freund, K. (2017). Five Things to Watch In AI And Machine Learning In 2017. Forbes. Retrieved from https://www.forbes.com/sites/moorinsights/2017/01/06/five-things-to-watch-in-ai-and-machine-learning-in-2017/#29a7c533455a
Geetha, R., & Bhanu, S. R. D. (2018). Recruitment Through Artificial Intelligence: A Conceptual Study. International Journal of Mechanical Engineering and Technology, 9(7), 63–70.
Heath, N. (2018). What is AI? Everything you need to know about Artificial Intelligence. Retrieved February 1, 2019, from https://www.zdnet.com/article/what-is-ai-everything-you-need-to-know-about-artificial-intelligence/
Jain, D. (2018). Human Resource Management and Artificial Intelligence. International Journal of Management and Social Sciences Research, 7(3), 56–59.
Javaid, A. (2018). Future of human resource management. Daily Times. Retrieved from https://dailytimes.com.pk/204730/future-human-resource-management/
Jauhari, A. (2017). How AI and machine learning will impact HR practices. TMT.
Lamson, M., & Redwitz, A. von. (2018). The Impact of AI on Learning and Development. Retrieved January 27, 2019, from https://trainingindustry.com/articles/learning-technologies/the-impact-of-ai-on-learning-and-development/
Manyika, A. J. (2017). What’s now and next in analytics, AI, and automation. McKinsey Global Institute, 1–12.
Marr, B. (2017). The Future of Performance Management: How AI and Big Data Combat Workplace Bias. Forbes. Retrieved from https://www.forbes.com/sites/bernardmarr/2017/01/17/the-future-of-performance-management-how-ai-and-big-data-combat-workplace-bias/
McCarthy, J. & Hayes P. J. (1969). Some philosophical problems from the standpoint of artificial intelligence. In Machine Intelligence. In B. Meltzer and D. Michie (Eds.), vol. 4 (pp. 463-502). Edinburgh: Edinburgh University Press.
McClelland, C. (2017). The Difference Between Artificial Intelligence, Machine Learning, and Deep Learning. Retrieved February 1, 2019, from https://medium.com/iotforall/the-difference-between-artificial-intelligence-machine-learning-and-deep-learning-3aa67bff5991
Miller, S. (2018). Get Ready for the Digital Future of Total Rewards. Society for Human Resource Management. Retrieved from https://www.shrm.org/resourcesandtools/hr-topics/compensation/pages/get-ready-for-the-digital-future-of-total-rewards.aspx
Mittal, V. (2017). HRTech — Top 10 ways Artificial Intelligence will support HR value chain. Medium. Retrieved from https://medium.com/@vratulmittal/hrtech-top-10-ways-artificial-intelligence-will-support-hr-value-chain-6901f8c23a2e
Nisar, A. (2018). The pros and cons of Artificial Intelligence in Pakistan. Retrieved February 5, 2019, from http://www.pakistaneconomist.com/2018/07/09/the-pros-and-cons-of-artificial-intelligence-in-pakistan/
Nunn, D. J. (2018). How AI Is Transforming HR Departments. Forbes Technology Council Community Voice.
Pickup, O. (2018). AI in HR: how it could help and what you need to be doing. Raconteur. Retrieved from https://www.raconteur.net/hr/ai-hr-human
Pimenta, A. (2018). Artificial Intelligence in Performance Management. Retrieved February 2, 2019, from https://performetric.net/blog/artificial-intelligence-in-performance-management/
Power, R. (2018). How AI and Machine Learning Can Help Build a More Engaged Workforce. Retrieved January 27, 2019, from https://www.inc.com/rhett-power/how-ai-machine-learning-can-help-build-a-more-engaged-workforce.html
Rakyan, S. (2017). Reshaping the compensation and benefits landscape with AI. Retrieved February 1, 2019, from https://www.towerswatson.com/en-ID/Insights/Newsletters/Asia-Pacific/points-of-view/2017/reshaping-the-compensation-and-benefits-landscape-with-AI
Ramani, A. (2018). Can Artificial Intelligence and Machine Learning Revolutionise HR Operations? Entrepreneur Asia Pacific. Retrieved from https://www.entrepreneur.com/article/324183
Ropani, R. (2018, August 13). Virtual Reality and Artificial Intelligence: An Unconventional Guide to Recruitment. Retrieved January 31, 2019, from https://pakistansocietyhrm.wordpress.com/2018/08/13/virtual-reality-and-artificial-intelligence-an-unconventional-guide-to-recruitment/
Shalfrooshan, A. (2018, August 20). The Role of Artificial Intelligence and Machine Learning in HR. Retrieved January 27, 2019, from https://www.psionline.com/en-gb/blog/the-role-of-artificial-intelligence-and-machine-learning-in-hr/
Shaw, S., Becker, L., Bailey, M. C., & Scroggins, A. L. (2018). Is AI Above the Curve in Evaluating Employee Performance? Lexology. Retrieved February 2, 2019, from https://www.lexology.com/library/detail.aspx?g=935e7736-dc4e-422c-b91d-7396b1a34004
Stone, D. L., Deadrick, D. L., Lukaszewski, K. M., & Johnson, R. (2015). The influence of technology on the future of human resource management. Human Resource Management Review, 25(2), 216–231.
Sultan, A. (2018). Why is no one talking of AI in Pakistan? Medium. Retrieved from https://medium.com/@azh.sultan/why-is-no-one-talking-of-ai-in-pakistan-50ec91d4b3b5
Team, M. T. (2018, May 26). Application of Artificial Intelligence in H.R.M. Retrieved January 27, 2019, from https://www.mbatuts.com/artificial-intelligence-h-r-m/
Veena, K., & Sharma, D. P. (2018). HR Transformation through Artificial Intelligence. International Conference on Digital Innovation: Meeting the Business Challenges, 199–207.
West, D. M. (2018). The Future of Work Robots, AI, and Automation. Washington, D.C: Brookings Institution Press.
Zhang, Y., Robinson, D. K., Porter, A. L., Zhu, D., Zhang, G., & Lu, J. (2015). Technology road mapping for competitive technical intelligence,†Technological Forecasting and Social Change, 110, 175–186.
Published
Issue
Section
License
Submission of an original manuscript to the Journal will be taken to mean that it represents original work not previously published, that it is not being considered elsewhere for publication. And if accepted for publication, it will be published in print and online and it will not be published elsewhere.
The journal main policy reflects in its stance that the publication of scholarly research is exclusively meant to disseminate knowledge and not-for-purposes.
Copyright Statment
Sarhad Journal of Management Sciences is published by Sarhad University of Science and Information Technology Peshawar. This copyright statement entails that all contents (including text, tables, graphs, images, or any materials that is part and parcel of a research article submitted to the journal) belong to/ property of the person who owned it prior to submission this journal. Publication of the submitted article will not affect the ownership of copyright of the subject materials. SJMS and its users benefit from a general licence over all content submitted under a Creative Commons CC-BY licence over all content. However, content which is not part of the submitted article, is the property of SJMS. In a nutshell, the combination of all content on the SJMS website, the look and feel of the website, is the property of Sarhad University of Science and Information Technology Peshawar.
As an author or contributor, you grant permission to others to reproduce your articles, including any graphics and third-party materials supplied by you, in accordance with the SJMS Terms and Conditions. The licence granted to third parties over all contents of each article, including third-party elements, is a Creative Commons Attribution ("CC BY") licence. The current version is CC-BY, version 4.0 (http://creativecommons.org/licenses/by/4.0/), and the licence will automatically be updated as and when updated by the Creative Commons organisation.
You may include a requirement to reproduce copyright notices but you may not restrict the right to reproduce the entire article, including third-party graphics. This means that you must obtain any necessary third-party consents and permissions to reproduce third-party materials in your articles submitted to SJMS.
Copyright Statement updated September 13, 2022.
