ESC

Clarivate

JCR Category: Business in ESCI edition

Entrepreneurship and Sustainability Issues Open access
Journal Impact FactorTM (2023) 1.2 Q4
Journal Citation IndicatorTM (2023) 0.33 Q3
Received: 2023-08-20  |  Accepted: 2023-11-29  |  Published: 2023-12-30

Title

Improving HR management in innovative business organizations through digitalization and ICT


Abstract

Today`s business organizations face enormous challenges: an unpredictable, unsecured and complex business environment, strong competitiveness, substitute products, spoiled customers with growing needs and demands, pandemic restrictions and social isola-tion, post-pandemic situation and recovery, economy crisis, military conflicts etc. On this background the rapid development of information and communication technologies offers very logical and convenient way to secure company`s existence and growth. Recent past years proved that the usage of ICT in HR management opens new horizon both for the employees and their manag-ers. On the other hand, the implementation of Artificial Intelligence and digitalization in HR management is not an unambigu-ous process. Still there are many open questions concerning ethics, personal freedom of employees etc. The aim of the present article is to understand the opinion of young people as future employees on the usage of ICT and AI in companies and on this base to propose some workable solutions for improving HR management in innovative business organizations. Our findings indi-cate that young people are not yet ready to accept the decision made only by AI without any interference from the managers. At the same time our responders admit that the most serious advantage of AI is in collection and analysis of large amounts of data, while the most serious limitation is the heavy reliance on the technology, which is the logical result in digital era.


Keywords

HR management, digitalization, Artificial Intelligence (AI), ICT


JEL classifications

D22 , L21 , L24 , L25 , L26 , M14 , M15 , O30 , O49


URI

http://jssidoi.org/jesi/article/1149


DOI


Pages

403-418


Funding

The present article is published with the financial support of the University of National and World Economy (Sofia, Bulgaria), under the Project N NID-NI-10/2023/А ("Developing Strategies for Digital Human Resource Management in Innovative Business Organizations")

This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License

Authors

Angelova, Miglena
University of National and World Economy, Sofia, Bulgaria https://www.unwe.bg
Articles by this author in: CrossRef |  Google Scholar

Stoyanova, Tsvetana
University of National and World Economy, Sofia, Bulgaria https://www.unwe.bg
Articles by this author in: CrossRef |  Google Scholar

Stoyanov, Philip
University of National and World Economy, Sofia, Bulgaria https://www.unwe.bg
Articles by this author in: CrossRef |  Google Scholar

Journal title

Entrepreneurship and Sustainability Issues

Volume

11


Number

2


Issue date

December 2023


Issue DOI


ISSN

ISSN 2345-0282 (online)


Publisher

VšĮ Entrepreneurship and Sustainability Center, Vilnius, Lithuania

Cited

Google Scholar

Article views & downloads

HTML views: 699  |  PDF downloads: 339

References


Allal-Chérif, O., Aránega, A.Y., Sánchez, R.C. (2021). Intelligent recruitment: How to identify, select, and retain talents from around the world using artificial intelligence, Technological Forecasting and Social Change, 169, 120822. ISSN 0040-1625 https://doi.org/10.1016/j.techfore.2021.120822

Search via ReFindit


Ammirato, S., Felicetti, A.M., Linzalone, R., Corvello, V., Kumar, S. (2023). Still our most important asset: A systematic review on human resource management in the midst of the fourth industrial revolution. Journal of Innovation & Knowledge, 8(3), 100403, ISSN 2444-569X https://doi.org/10.1016/j.jik.2023.100403

Search via ReFindit


Anguelov, K. (2019). Research studies for the Efficiency of Management in Bulgarian Electricity Distribution Companies, 2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA), Varna, Bulgaria, 2019, pp. 1-4. https://doi.org/10.1109/ELMA.2019.8771590

Search via ReFindit


Anguelov, K. (2021). Applications of Artificial Intelligence for Optimization of Business Processes in Enterprise Resource Plan-ning Systems, 2021 12th National Conference with International Participation (ELECTRONICA), Sofia, Bulgaria, pp. 1-4. https://doi.org/10.1109/ELECTRONICA52725.2021.9513677

Search via ReFindit


Arias, M.M.DeO., Rivero, C.A.P., Márquez, O.C. (2023). Artificial intelligence to manage workplace bullying. Journal of Business Research, 160, 113813. ISSN 0148-2963 https://doi.org/10.1016/j.jbusres.2023.113813

Search via ReFindit


Arslan, A., Cooper, C., Khan, Z., Golgeci, I. and Ali, I. (2022). Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies. International Journal of Manpower, 43(1), 75-88. https://doi.org/10.1108/IJM-01-2021-0052

Search via ReFindit


Bhupathi, P., Prabu, S., Goh, A. P.I. (2023). Artificial Intelligence-Enabled Knowledge Management using a multidimensional analytical framework of visualizations. International Journal of Cognitive Computing in Engineering, 4, 240-247. ISSN 2666-3074 https://doi.org/10.1016/j.ijcce.2023.06.003

Search via ReFindit


Chowdhury, S. et al. (2023). Unlocking the value of artificial intelligence in human resource management through AI capability framework. Human Resource Management Review, 33(1), 100899. ISSN 1053-4822 . https://doi.org/10.1016/j.hrmr.2022.100899

Search via ReFindit


Dabić, M., Maley, J.F., Švarc, J., Poček, J. (2023). Future of digital work: Challenges for sustainable human resources manage-ment. Journal of Innovation & Knowledge, 8(2), 100353. ISSN 2444-569X . https://doi.org/10.1016/j.jik.2023.100353

Search via ReFindit


Di Vaio, A., Palladino, R., Hassan, R., Escobar, O. (2020). Artificial intelligence and business models in the sustainable develop-ment goals perspective: A systematic literature review. Journal of Business Research, 121, 283-314. ISSN 0148-2963 https://doi.org/10.1016/j.jbusres.2020.08.019

Search via ReFindit


Esch, P., Black, J.S., Ferolie, J. (2019), Marketing AI recruitment: The next phase in job application and selection. Computers in Human Behavior, 90, 215-222. ISSN 0747-5632 https://doi.org/10.1016/j.chb.2018.09.009

Search via ReFindit


Giudice, M.D., Scuotto, V., Orlando, B., Mustilli, M. (2023), Toward the human – Centered approach. A revised model of indi-vidual acceptance of AI. Human Resource Management Review, 33(1), 100856. ISSN 1053-4822 https://doi.org/10.1016/j.hrmr.2021.100856

Search via ReFindit


Horodyski, P. (2023). Recruiter's perception of artificial intelligence (AI)-based tools in recruitment. Computers in Human Behav-ior Reports, 10, 100298. ISSN 2451-9588 https://doi.org/10.1016/j.chbr.2023.100298

Search via ReFindit


Khan, A. N., Jabeen, F., Mehmood, K., Soomro, M. A., Bresciani, S. (2023). Paving the way for technological innovation through adoption of artificial intelligence in conservative industries. Journal of Business Research, 165, 114019. ISSN 0148-2963 https://doi.org/10.1016/j.jbusres.2023.114019

Search via ReFindit


Kong, H., Yin, Z., Baruch, Y., Yuan, Y. (2023). The impact of trust in AI on career sustainability: The role of employee–AI collaboration and protean career orientation. Journal of Vocational Behavior, 146, 103928. ISSN 0001-8791 https://doi.org/10.1016/j.jvb.2023.103928

Search via ReFindit


Langer, M., König, C. J. (2023). Introducing a multi-stakeholder perspective on opacity, transparency and strategies to reduce opacity in algorithm-based human resource management. Human Resource Management Review, 33(1), 100881. ISSN 1053-4822. https://doi.org/10.1016/j.hrmr.2021.100881

Search via ReFindit


Lee, D.S., Ahn, C. K. (2020). Industrial human resource management optimization based on skills and characteristics. Computers & Industrial Engineering, 144, 106463. ISSN 0360-8352 https://doi.org/10.1016/j.cie.2020.106463

Search via ReFindit


Malik, A., Budhwar, P., Kazmi, B.A. (2023). Artificial intelligence (AI)-assisted HRM: Towards an extended strategic framework. Human Resource Management Review, 3(1), 100940. ISSN 1053-4822, . https://doi.org/10.1016/j.hrmr.2022.100940

Search via ReFindit


Malik, A., De Silva, M.T.T., Budhwar, P., Srikanth, N.R. (2021). Elevating talents' experience through innovative artificial intel-ligence-mediated knowledge sharing: Evidence from an IT-multinational enterprise. Journal of International Management, 27(4), 100871. ISSN 1075-4253 . https://doi.org/10.1016/j.intman.2021.100871

Search via ReFindit


Meijerink, J., Bondarouk, T. (2023), The duality of algorithmic management: Toward a research agenda on HRM algorithms, autonomy and value creation. Human Resource Management Review, 33(1), 100876. ISSN 1053-4822 https://doi.org/10.1016/j.hrmr.2021.100876

Search via ReFindit


Mikalef, P., Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & Management, 58(3), 103434. ISSN 0378-7206 https://doi.org/10.1016/j.im.2021.103434

Search via ReFindit


Nijs, S., Dries, N., Van Vlasselaer, V., & Sels, L. (2022). Reframing talent identification as a status‐organising process: Examin-ing talent hierarchies through data mining. Human Resource Management Journal, 32(1), 169-193. https://doi.org/10.1111/1748‐8583.12401

Search via ReFindit


Pan, Y., Froese, F.J. (2023), An interdisciplinary review of AI and HRM: Challenges and future directions. Human Resource Man-agement Review, 33(1), 100924. ISSN 1053-4822 https://doi.org/10.1016/j.hrmr.2022.100924

Search via ReFindit


Parteka, A., Wolszczak-Derlacz, J., Nikulin, D. (2024). How digital technology affects working conditions in globally fragmented production chains: Evidence from Europe. Technological Forecasting and Social Change, 198, 122998. ISSN 0040-1625 https://doi.org/10.1016/j.techfore.2023.122998

Search via ReFindit


Pereira, V., Hadjielias, E., Christofi, M., Vrontis, D. (2023). A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective. Human Resource Management Review, 33(1), 100857. ISSN 1053-4822 https://doi.org/10.1016/j.hrmr.2021.100857

Search via ReFindit


Prikshat, V. et al. (2023), AI-Augmented HRM: Literature review and a proposed multilevel framework for future research. Tech-nological Forecasting and Social Change, 193, 122645. ISSN 0040-1625 https://doi.org/10.1016/j.techfore.2023.122645

Search via ReFindit


Radonjić, A., Duarte, H., Pereira, N. (2022). Artificial intelligence and HRM: HR managers’ perspective on decisiveness and challenges. European Management Journal, ISSN 0263-2373. https://doi.org/10.1016/j.emj.2022.07.001

Search via ReFindit


Rebelo, A.D., Verboom, D.E., dos Santos, N.R., de Graaf, J.W. (2023),The impact of artificial intelligence on the tasks of mental healthcare workers: A scoping review. Computers in Human Behavior: Artificial Humans, 1(2), 100008. ISSN 2949-8821 https://doi.org/10.1016/j.chbah.2023.100008

Search via ReFindit


Rodgers, W. et al. (2023). An artificial intelligence algorithmic approach to ethical decision-making in human resource manage-ment processes. Human Resource Management Review, 33(1), 100925. ISSN 1053-4822 https://doi.org/10.1016/j.hrmr.2022.100925

Search via ReFindit


Sienkiewicz-Małyjurek, K. (2023), Whether AI adoption challenges matter for public managers? The case of Polish cities. Gov-ernment Information Quarterly, 40(3), 101828. ISSN 0740-624X https://doi.org/10.1016/j.giq.2023.101828

Search via ReFindit


Zirar, A., Ali, S. I., Islam, N. (2023), Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and re-search agenda. Technovation, 124, 102747. ISSN 0166-4972 https://doi.org/10.1016/j.technovation.2023.102747

Search via ReFindit