[
Ajgaonkar, S., Neelam, N.G., & Wiemann, J. (2021). Drivers of workforce agility: a dynamic capability perspective. International Journal of Organizational Analysis, 30(4), 951-982. DOI: 10.1108/IJOA-11-2020-2507
]Search in Google Scholar
[
Attar, M., & Abdul-Kareem, A. (2020). The Role of Agile Leadership in Organisational Agility, Akkaya, B. (Ed.) Agile Business Leadership Methods for Industry 4.0, Emerald Publishing Limited, Leeds, pp. 171-191. DOI: https://doi-org.ezproxy.lib.ukm.si/10.1108/978-1-80043-380-920201011
]Search in Google Scholar
[
Babber, G., & Mittal, A. (2023). Achieving sustainability through the integration of lean, agile, and innovative systems: implications for Indian micro small medium enterprises (MSMEs). Journal of Science and Technology Policy Management, Vol. ahead-of-print No. ahead-of-print. DOI: https://doi-org.ezproxy.lib.ukm.si/10.1108/JSTPM-05-2023-0087
]Search in Google Scholar
[
Bhalerao, K., Kumar. A., & Pujari, P. (2022). A study of Barriers and Benefits of Artificial Intelligence Adoption in small and medium enterporise. Academy of Marketing Studies Journal, 26(S1), 1-6.
]Search in Google Scholar
[
Bresciani, S., Ferraris, A., Romano, M. & Santoro, G. (2021). Agility for Successful Digital Transformation”, Digital Transformation Management for Agile Organizations: A Compass to Sail the Digital World, Emerald Publishing Limited, Leeds, pp. 167-187. DOI: https://doi-org.ezproxy.lib.ukm.si/10.1108/978-1-80043-171-320211010
]Search in Google Scholar
[
Dabbous, A., Aoun Barakat, K., & Merhej Sayegh, M., (2022). Enabling organizational use of artificial intelligence: an employee perspective. Journal of Asia Business Studies, 16(2), 245–266. DOI: https://doi.org/10.1108/JABS-09-2020-0372
]Search in Google Scholar
[
Denning, S. (2016). How to make the whole organization “Agile”. Strategy & Leadership, 44(4), 10–17. DOI: https://doi-org.ezproxy.lib.ukm.si/10.1108/SL-06-2016-0043
]Search in Google Scholar
[
EESC (European Economic and Social Committee) (2021). Boosting the use of Artificial Intelligence in Europe’s micro, small and medium-sized Enterprises. Retrieved from https://www.eesc.europa.eu/en/our-work/publications-other-work/publications/boosting-use-artificial-intelligence-europes-micro-small-and-medium-sized-enterprises
]Search in Google Scholar
[
English, L. (2023). The Impact Of AI On Company Culture And How To Prepare Now. Retrieved from https://www.forbes.com/sites/larryenglish/2023/05/25/the-impact-of-ai-on-company-culture-and-how-to-prepare-now/?sh=511060df5f15
]Search in Google Scholar
[
Hansen, E. B., & Bøgh, S. (2021). Artifcial Intelligence and Internet of Things in Small and Medium-Sized Enterprises: A Survey. Journal of Manufacturing Systems, 58(2), 362–372. DOI: https://doi.org/10.1016/j.jmsy.2020.08.009
]Search in Google Scholar
[
Hollander, M., Wolfe, D. A., & Chicken, E. (2013). Nonparametric Statistical Methods. USA: Wiley
]Search in Google Scholar
[
Hughes, C., Robert, I., Frady, K., & Arroyos, A. (2019). Artificial Intelligence. Employee Engagement, Fairness, and Job Outcomes, Managing Technology and Middle-and Low-skilled Employees (The Changing Context of Managing People), Emerald Publishing Limited, 61-68. DOI: https://doi.org/10.1108/978-1-78973-077-720191005
]Search in Google Scholar
[
Isensee, C., Griese, K. M., & Teuteberg, F. (2021). Sustainable artificial intelligence: A corporate culture perspective. Nachhaltigkeits Management Forum 29, 217–230. DOI: https://doi.org/10.1007/s00550-021-00524-6
]Search in Google Scholar
[
Kanade, V. (2022). What Is Machine Learning? Retrieved from https://www.spiceworks.com/tech/artificial-intelligence/articles/what-is-ml/
]Search in Google Scholar
[
Klein, V. B., & Todesco, J. L. (2021). COVID-19 Crisis and SMEs Responses: The Role of Digital Transformation. Knowledge and Progress Management, 28(2), 117–133. DOI: https://doi.org/10.1002/kpm.1660
]Search in Google Scholar
[
Kureljusic, M., & Metz, J. (2023). The applicability of machine learning algorithms in accounts receivables management. Journal of Applied Accounting Research, 24(4), pp. 769-786. DOI: https://doi-org.ezproxy.lib.ukm.si/10.1108/JAAR-05-2022-0116
]Search in Google Scholar
[
Lantz, B. (2021). Overview of Machine Learning Tools, Einhorn, M., Löffler, M., de Bellis, E., Herrmann, A. and Burghartz, P. (Ed.) The Machine Age of Customer Insight. Emerald Publishing Limited, Leeds, pp. 79-90. DOI: https://doi-org.ezproxy.lib.ukm.si/10.1108/978-1-83909-694-520211008
]Search in Google Scholar
[
Liu, Y., Chung, H.F.L., Zhang, Z., & Wu, M. (2023). When and how digital platforms empower professional services firms: an agility perspective. Journal of Service Theory and Practice, 33(2), 149–168. DOI: https://doi-org.ezproxy.lib.ukm.si/10.1108/JSTP-04-2022-0092
]Search in Google Scholar
[
Malik, N., Tripathi, S. N., Kar, A. K., & Gupta, S. (2022). Impact of artificial intelligence on employees working in industry 4.0 led organizations. International Journal of Manpower, 43(2), 334–354. DOI: https://doi-org.ezproxy.lib.ukm.si/10.1108/IJM-03-2021-0173
]Search in Google Scholar
[
Mani, S., & Mishra, M. (2020). Characteristics and ingredients of an agile work force – a strategy framework. Strategic HR Review, 19(5), 227–230. DOI: https://doi.org/10.1108/SHR-02-2020-0013
]Search in Google Scholar
[
Martinez-Sanchez, A., & Vicente-Oliva, S. (2023). Supporting agile innovation and knowledge by managing human resource flexibility. International Journal of Innovation Science, 15(3), 558–578. DOI: https://doi-org.ezproxy.lib.ukm.si/10.1108/IJIS-11-2021-0200
]Search in Google Scholar
[
McKinsey Global Institute. (2023). AI could increase corporate profits by $4.4 trillion a year, according to new research. Retrieved from https://www.mckinsey.com/mgi/overview/in-the-news/ai-could-increase-corporate-profits-by-4-trillion-a-year-according-to-new-research
]Search in Google Scholar
[
Mer, A. (2023). Artificial Intelligence in Human Resource Management: Recent Trends and Research Agenda. In Grima, S., Thalassinos, E., Noja, G.G., Stamataopoulos, T.V., Vasiljeva, T. and Volkova, T. (Ed.) Digital Transformation, Strategic Resilience, Cyber Security and Risk Management (Contemporary Studies in Economic and Financial Analysis, 111B. Leeds: Emerald Publishing Limited, pp. 31-56. DOI: https://doi-org.ezproxy.lib.ukm.si/10.1108/S1569-37592023000111B003
]Search in Google Scholar
[
Papadopoulos, T., Baltas, K. N., & Baltac, M. E. (2020). The Use of Digital Technologies by Small and Medium Enterprises During COVID-19: Implications for Theory and Practice. International Journal of Information Management, 55, 102192. DOI: https://doi.org/10.1016/j.ijinfomgt.2020.102192
]Search in Google Scholar
[
Peeters, T., Van De Voorde, K., & Paauwe, J. (2022). The effects of working agile on team performance and engagement. Team Performance Management, 28(1/2), 61–78. DOI: https://doi.org/10.1108/TPM-07-2021-0049
]Search in Google Scholar
[
Petermann, M.K.H., & Zacher, H. (2021). Development of a behavioral taxonomy of agility in the workplace. International Journal of Managing Projects in Business, 14(6), 1383–1405. DOI: https://doi.org/10.1108/IJMPB-02-2021-0051
]Search in Google Scholar
[
Pillai, R., & Sivathanu, B. (2020). Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations. Benchmarking: An International Journal, 27(9), 2599-2629. DOI: https://doi.org/10.1108/BIJ-04-2020-0186
]Search in Google Scholar
[
Prentice, C., Wong, A.I., & Lin, Z. C.J. (2023). Artificial intelligence as a boundary-crossing object for employee engagement and performance, Journal of Retailing and Consumer Services, 73, 103376. DOI: https://doi.org/10.1016/j.jretconser.2023.103376.
]Search in Google Scholar
[
Qiu, H., Li, M., Bai, B., Wang, N., & Li, Y. (2022). The impact of AI-enabled service attributes on service hospitableness: the role of employee physical and psychological workload. International Journal of Hospitality Management, 34(4), 1–24. DOI: https://doi.org/10.1108/IJCHM-08-2021-0960
]Search in Google Scholar
[
Ransbotham, S., Candelon, F., Kiron, D., LaFountain, B., & Khodabandeh, S. (2021). The Cultural Benefits of Artificial Intelligence in the Enterprise. Retrieved from https://sloanreview.mit.edu/projects/the-cultural-benefits-of-artificial-intelligence-in-the-enterprise/
]Search in Google Scholar
[
Ribeiro, J., Lima, R., Eckhardt, T., & Paiva, S., (2021). Robotic Process Automation and Artificial Intelligence in Industry 4.0 – A Literature Review. Procedia Computer Science 181(1), 51-58. DOI: https://doi.org/10.1016/j.procs.2021.01.104
]Search in Google Scholar
[
Solheim, M.C.W., Aadland, T., Eide, A.E., & Haneberg, D.H. (2023). Drivers for agility in times of crisis. European Business Review, 35(1), 57–73. DOI: https://doi-org.ezproxy.lib.ukm.si/10.1108/EBR-01-2022-0014
]Search in Google Scholar
[
Soori, M., Arezoo, B., & Dastres, R. (2023). Artificial intelligence, machine learning and deep learning in advanced robotics, a review. Cognitive Robotics, 3, 54–70 DOI: https://doi.org/10.1016/j.cogr.2023.04.001
]Search in Google Scholar
[
Statistical Office of the Republic of Slovenia. (2021). Digital entrepreneurship. Retrieved from https://www.stat.si/StatWeb/en/News/Index/9885
]Search in Google Scholar
[
Statistical Office of the Republic of Slovenia. (2022). Digital entrepreneurship. Retrieved from https://www.stat.si/StatWeb/News/Index/10766
]Search in Google Scholar
[
Wamba, S.F. (2022). Impact of artificial intelligence assimilation on firm performance: The mediating effects of organizational agility and customer agility. International Journal of Information Management, 67, 102544. DOI: https://doi.org/10.1016/j.ijinfomgt.2022.102544.
]Search in Google Scholar
[
Wamba-Taguimdje, S. L., Fosso Wamba, S., Kala Kamdjoug, J. R., & Tchatchouang Wanko, C. E., (2020). Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects. Business Process Management Journal, 26(7), 1893-1924. DOI: https://doi.org/10.1108/BPMJ-10-2019-0411
]Search in Google Scholar
[
Wijayati, D. T., Rahman, Z., Fahrullah, A., Rahman, M. F. W., Arifah, I. D. C., & Kautsar, A., (2022). A study of artificial intelligence on employee performance and work engagement: the moderating role of change leadership. International Journal of Manpower, 43(2), 486–512. DOI: https://doi.org/10.1108/IJM-07-2021-0423
]Search in Google Scholar
[
ZGD-1. (2006). Companies Act (ZGD-1). Retrieved from http://www.pisrs.si/Pis.web/pregledPredpisa?id=ZAKO4291#
]Search in Google Scholar