Yapay Zekânın İşletme Yönetimi ve Liderlik Üzerindeki Etkileri: Bir Literatür İncelemesi

Abdülkadir Akturan

doi:10.30561/sinopusd.1554856

Yapay Zekânın İşletme Yönetimi ve Liderlik Üzerindeki Etkileri: Bir Literatür İncelemesi

Abstract

Teknolojik gelişmelerin damgasını vurduğu günümüz iş dünyasında, yapay zekâ, örgütsel yapıları derinden etkileyen dönüştürücü bir güç olarak öne çıkmaktadır. Yapay Zekâ, işletmelerin operasyonel süreçlerinde verimlilik artışı ve maliyet düşüşü gibi avantajlar sunarken, aynı zamanda geleneksel iş yapış yöntemlerini ve liderlik anlayışını da kökten değiştirmektedir. Bu değişim, insan liderlerin stratejik yönlendirme ve duygusal zeka gibi güçlü yanlarını, Yapay Zekâ'nın analitik kapasitesi ve verimlilik odaklı yaklaşımıyla birleştiren hibrit liderlik modellerine olan ihtiyacı ortaya çıkarmıştır. Bu çalışma, Yapay Zekâ'nın işletme yönetimi ve liderlik üzerindeki etkisini, hibrit liderlik modellerine odaklanarak inceleyen güncel akademik literatürü sistematik bir şekilde ele amaktadır. Çalışma kapsamında, Yapay Zekâ'nin işletme yönetiminde kullanımıyla ortaya çıkan yeni iş modelleri, karar verme süreçlerinde Yapay Zekâ destekli sistemlerin rolü, Yapay Zekâ'nın insan kaynakları yönetimine etkisi ve hibrit liderlik modellerinin yükselişi gibi konular derinlemesine ele alınacaktır. Bu bağlamda bu çalışmanın hem araştırmacılar hem de uygulamacılar için yol gösterici nitelikte olacağı, Yapay Zekâ sistemi uygulamalarının potansiyelinden en iyi şekilde yararlanmak ve beraberinde getirdiği zorluklarla başa çıkmak için hibrit liderlik modellerini nasıl etkin bir şekilde kullanabilecekleri konusunda stratejiler geliştirmelerine yardımcı olacağına inanılmaktadır.

Keywords

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References

Abasaheb, S. A., & Subashini, R. (2023). Maneuvering of digital transformation: role of artificial intelligence in empowering leadership-an empirical overview. International Journal of Professional Business Review: Int. J. Prof. Bus. Rev., 8(5), 20. https://doi.org/10.26668/businessreview/2023.v8i5.1838
Ahmad, S F., Han, H., Alam, M M., Rehmat, M K., Irshad, M., Arraño-Muñoz, M., & Ariza‐Montes, A. (2023). Impact of artificial intelligence on human loss in decision making, laziness and safety in education. Palgrave Macmillan, 10(1). https://doi.org/10.1057/s41599-023-01787-8
AI and Human Leadership. (2024). https://www.potentialproject.com/ai-and-human-leadership
Akyol, K., & Yılmaz, A. (2023). Ruhsal Zekânin Kariyer Uyum Yeteneği Üzerindeki Etkisi: Akademisyenler Üzerine Bir Araştirma. Sinop Üniversitesi Sosyal Bilimler Dergisi, 7(1), 570-603.
Alahmad, R., & Robert, L. (2020, January 1). Artificial Intelligence (AI) and IT identity: Antecedents Identifying with AI Applications. Cornell University. https://doi.org/10.48550/arXiv.2005.
Alasmri, N., & Basahel, S. (2022). Linking Artificial Intelligence Use to Improved Decision-Making, Individual and Organizational Outcomes. Canadian Center of Science and Education, 15(10), 1-15. https://doi.org/10.5539/ibr.v15n10p1
Ali, S. J., Christin, A., Smart, A., & Katila, R. (2023, June). Walking the walk of AI ethics: Organizational challenges and the individualization of risk among ethics entrepreneurs. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (pp. 217-226). https://doi.org/10.1145/3593013.3593990
Arifin, R., & Purwanti, H. (2023). Examining the Influence of Leadership Agility, Organizational Culture, and Motivation on Organizational Agility: A Comprehensive Analysis. Golden Ratio of Human Resource Management, 3(1), 33-54. https://doi.org/10.52970/grhrm.v3i1.205

Arslan, A., Cooper, C., Khan, Z., Golgeci, I., & 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
Attar, M., & Abdul-Kareem, A. (2020). The role of agile leadership in organisational agility. In Agile business leadership methods for industry 4.0 (pp. 171-191). Emerald Publishing Limited. https://doi.org/10.1108/978-1-80043-380-920201011
Badet, J. (2021). AI, automation and new jobs. Open journal of business and management, 9(5), 2452-2463. https://doi.org/10.4236/ojbm.2021.95132
Bahja, M. (2020). Natural language processing applications in business. E-Business-higher education and intelligence applications. https://doi.org/10.5772/intechopen.92203
Baruah, A., Shaikh, M., Kumar, R. M., Shaikh, I. A. K., Thomas, S. N., & Natrayan, L. (2024, April). Artificial Intelligence Influence on Leadership Styles in Human Resource Management for Employee Engagement. In 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM) (pp. 1-5). IEEE. https://doi.org/10.1109/ICONSTEM60960.2024.10568819
Belk, R. W., Belanche, D., & Flavián, C. (2023). Key concepts in artificial intelligence and technologies 4.0 in services. Service Business, 17(1), 1-9. https://doi.org/10.1007/s11628-023-00528-w
Biggio, L., & Kastanis, I. (2020). Prognostics and health management of industrial assets: Current progress and road ahead. Frontiers in Artificial Intelligence, 3, 578613. https://doi.org/10.3389/frai.2020.578613
Bonau, S. (2020, April 8). Strategic Leadership, Commitment and Employee Motivation: what influences attitudes towards the workplace. Corvinus University of Budapest, 14(4), 141-149. https://doi.org/10.14267/retp2019.04.09
Brown, J., Gosling, T., Sethi, B., Sheppard, B., Stubbings, C., Sviokla, J., ... & Fisher, L. (2017). Workforce of the future: The competing forces shaping 2030. London: PWC.
Brynjolfsson, E., Li, D., & Raymond, L. R. (2023). Generative AI at work (No. w31161). National Bureau of Economic Research.
Buck, B., & Morrow, J F. (2018, October 8). AI, performance management and engagement: keeping your best their best. Emerald Publishing Limited, 17(5), 261-262. https://doi.org/10.1108/shr-10-2018-145
Bughin, J., & Hazan, E. (2017). Five management strategies for getting the most from AI. MIT Sloan Management Review, 59-68.
Campbell, C., Sands, S., Ferraro, C., Tsao, H. Y. J., & Mavrommatis, A. (2020). From data to action: How marketers can leverage AI. Business horizons, 63(2), 227-243.. https://doi.org/10.1016/j.bushor.2019.12.002
Canan, M., Sousa-Poza, A., & Dean, A. (2017). Complex adaptive behavior of hybrid teams. Procedia Computer Science, 114, 139-148. https://doi.org/10.1016/j.procs.2017.09.013
Cao, G., Duan, Y., Edwards, J S., & Dwivedi, Y K. (2021, August 1). Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making. Elsevier BV, 106, 102312-102312, 1-15. https://doi.org/10.1016/j.technovation.2021.102312
Chakraborti, T., Isahagian, V., Khalaf, R., Khazaeni, Y., Muthusamy, V., Rizk, Y., & Unuvar, M. (2020). From Robotic Process Automation to Intelligent Process Automation: –Emerging Trends–. In Business Process Management: Blockchain and Robotic Process Automation Forum: BPM 2020 Blockchain and RPA Forum, Seville, Spain, September 13–18, 2020, Proceedings 18 (pp. 215-228). Springer International Publishing. https://doi.org/10.48550/arxiv.2007.13257
Chamorro-Premuzic, T., Wade, M., & Jordan, J. (2018). As AI makes more decisions, the nature of leadership will change. Harvard Business Review, 1, 2-7. https://hdl.handle.net/10520/EJC-dc9d772d4
Chaudhary, S., Kumar, S., Kumar, K., Kathuria, S., Negi, P., & Chhabra, G. (2023, March). Role of Artificial Intelligence in Organizational Culture and Workplace. In 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (pp. 528-532). IEEE. https://doi.org/10.1109/ICSCDS56580.2023.10104697
Chernov, A. V., Chernova, V. A., & Komarova, T. V. (2020). The usage of artificial intelligence in strategic decision making in terms of fourth industrial revolution. In 1st International Conference on Emerging Trends and Challenges in the Management Theory and Practice (ETCMTP 2019) (pp. 22-25). Atlantis Press. https://doi.org/10.2991/aebmr.k.200201.005
Chui, M., Hall, B., Mayhew, H., Singla, A., Sukharevsky, A., & by McKinsey, A. I. (2022). The state of AI in 2022-and a half decade in review. https://www. mckinsey. com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2022-and-a-half-decade-in-review#/.
Cohen, M. C., Mancenido, M. V., Chiou, E. K., & Cooke, N. J. (2023). Teamness and Trust in AI-Enabled Decision Support Systems: Current Challenges and Future Directions. In CEUR Workshop Proceedings (Vol. 3456, pp. 175-187). CEUR-WS.
Constantinides, M., & Quercia, D. (2022, January 1). Good Intentions, Bad Inventions: How Employees Judge Pervasive Technologies in the Workplace. Cornell University. https://doi.org/10.48550/arxiv.2210.06381
Crummenerl, C., Pendlebury-Green, A., Buvat, J., Khadikar, A., Sengupta, A., & Shah, H. (2019). Emotional intelligence–the essential skillset for the age of AI. Capgemini Research Institute, 35. https://doi.org/10.1109/ICIPTM52218.2021.9388350
Çelik, C. (2022). Pazaryerleri ve İş Zekâsı. Sinop Üniversitesi Sosyal Bilimler Dergisi, 6(1), 1-22. Daugherty, P., Wilson, H.J., 2018. Human + Machine: Reimagining Work in the Age of AI. Harvard Business Review Press, Boston, MA.
Davenport, T. H., & Mittal, N. (2022). How companies can prepare for the coming “AI-first” world. Strategy & leadership, 51(1), 26-30. https://doi.org/10.1108/SL-11-2022-0107
Davenport, T.H., Kirby, J., 2016. Only Humans Need Apply: Winners and Losers in the Age of Smart Machines. HarperCollins, New York, NY
Dell'Acqua, F., McFowland, E., Mollick, E. R., Lifshitz-Assaf, H., Kellogg, K., Rajendran, S., ... & Lakhani, K. R. (2023). Navigating the jagged technological frontier: Field experimental evidence of the effects of AI on knowledge worker productivity and quality. Harvard Business School Technology & Operations Mgt. Unit Working Paper, (24-013). https://ssrn.com/abstract=4573321
Dellermann, D., Ebel, P., Söllner, M., & Leimeister, J M. (2019). Hybrid Intelligence. Springer Nature, 61(5), 637-643. https://doi.org/10.1007/s12599-019-00595-2
Dey, S., & Das, A. (2019). Robotic process automation: assessment of the technology for transformation of business processes. International Journal of Business Process Integration and Management, 9(3), 220-230. https://doi.org/10.1504/ijbpim.2019.100927
Dixit, S., & Maurya, M. (2021, February). Equilibrating emotional intelligence and AI driven leadership for transnational organizations. In 2021 International Conference on Innovative Practices in Technology and Management (ICIPTM) (pp. 233-237). IEEE. https://doi.org/10.1109/ICIPTM52218.2021.9388350
Du, X. (2020, October). Research on the artificial intelligence applied in logistics warehousing. In Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture (pp. 140-144). https://doi.org/10.1145/3421766.3421798
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International journal of information management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
El-Emary, I., Al Otaibi, S., & Al Amri, W. (2020). The effect of using artificial intelligence on the quality of decision-making in various organizations: A critical survey study. Bioscience Biotechnology Research Communications, 13(4), 2042-2049. https://doi.org/10.21786/bbrc/13.4/61
Ema, A., Akiya, N., Osawa, H., Hattori, H., Oie, S., Ichise, R., ... & Yashiro, Y. (2016). Future relations between humans and artificial intelligence: a stakeholder opinion survey in Japan. IEEE Technology and Society Magazine, 35(4), 68-75. https://doi.org/10.1109/MTS.2016.2618719
Fabiola H. Gerpott. (2023). The Now, New, and Next of Digital Leadership: How Artificial Intelligence (AI) Will Take Over and Change Leadership as We Know It. https://journals.sagepub.com/doi/10.1177/15480518231181731
Faishal, M., Mathew, S., Neikha, K., Pusa, K., & Zhimomi, T. (2023). The future of work: AI, automation, and the changing dynamics of developed economies. World Journal of Advanced Research and Reviews, 18(3), 620-629. https://doi.org/10.30574/wjarr.2023.18.3.1086
Farrow, E. (2021). Mindset matters: how mindset affects the ability of staff to anticipate and adapt to Artificial Intelligence (AI) future scenarios in organisational settings. AI & society, 36(3), 895-909. https://doi.org/10.1007/s00146-020-01101-z
Fenwick, A., & Molnar, G. (2022). The importance of humanizing AI: using a behavioral lens to bridge the gaps between humans and machines. Discover Artificial Intelligence, 2(1), 14. https://doi.org/10.1007/s44163-022-00030-8
Flamholtz, E. (2019, January 1). Managing and Enhancing Employee Engagement. , 10(6). https://doi.org/10.30845/ijbss.v10n6p1
Frick, N. R., Mirbabaie, M., Stieglitz, S., & Salomon, J. (2021). Maneuvering through the stormy seas of digital transformation: the impact of empowering leadership on the AI readiness of enterprises. Journal of Decision Systems, 30(2-3), 235-258. https://doi.org/10.1080/12460125.2020.1870065
Fuchs, A., Passarella, A., & Conti, M. (2024). Optimizing Risk-averse Human-AI Hybrid Teams, 1-8. arXiv preprint arXiv:2403.08386. https://doi.org/10.48550/arXiv.2403.08386
Fulton, R., Fulton, D., & Kaplan, S. (2022). Artificial Intelligence: Framework of driving triggers to past, present and future applications and influencers of industry sector adoption. arXiv preprint arXiv:2204.01518. https://doi.org/10.48550/arXiv.2204.01518
Fulton, S. (2022). Enhancing student leadership at Yukon University (Master's thesis, Royal Roads University (Canada)).
Furman, J., & Seamans, R. (2019). AI and the Economy. Innovation policy and the economy, 19(1), 161-191. https://doi.org/10.1086/699936
Geng, B., & Varshney, P. K. (2022). Human-machine collaboration for smart decision making: current trends and future opportunities. In 2022 IEEE 8th International Conference on Collaboration and Internet Computing (CIC) (pp. 61-67). IEEE. https://doi.org/10.1109/cic56439.2022.00019
Goh, H. H. (2021). Artificial intelligence in achieving sustainable development goals. arXiv preprint arXiv:2107.13966. https://doi.org/10.48550/arXiv.2107
Gruman, J A., & Saks, A M. (2011, June 1). Performance management and employee engagement. Elsevier BV, 21(2), 123-136. https://doi.org/10.1016/j.hrmr.2010.09.004
Guszcza, J., Danks, D., Fox, C R., Hammond, K J., Ho, D E., Imas, A., Landay, J A., Levi, M., Logg, J M., Picard, R W., Raghavan, M., Stanger, A., Ugolnik, Z., & Woolley, A W. (2022, January 1). Hybrid Intelligence: A Paradigm for More Responsible Practice. RELX Group (Netherlands), 1-24. https://doi.org/10.2139/ssrn.4301478
Hai, T. N., & Van, Q. N. (2021). The impact of the fourth industrial revolution on ethical leadership. Journal of Human, Earth, and Future, 2(3), 234-247. http://dx.doi.org/10. 28991/HEF-2021-02-03-05
Hao, M., Lv, W., & Du, B. (2020). The influence mechanism of authentic leadership in artificial intelligence team on employees’ performance. In Journal of Physics: Conference Series (Vol. 1438, No. 1, p. 012022). IOP Publishing. https://doi.org/doi:10.1088/1742-6596/1438/1/012022
Harkut, D. G., & Kasat, K. (2019). Introductory chapter: artificial intelligence-challenges and applications. Artificial Intelligence-Scope and Limitations. https://doi.org/10.5772/intechopen.84624. https://doi.org/10.5772/intechopen.84624
Henstock, P. V. (2019). Artificial intelligence for pharma: time for internal investment. Trends in pharmacological sciences, 40(8), 543-546. https://doi.org/10.1016/j.tips.2019.05.003
Hernández, E. G. (2024). Towards an ethical and inclusive implementation of artificial intelligence in organizations: a multidimensional framework. arXiv preprint arXiv:2405.01697, 1-15. https://doi.org/10.48550/arXiv.2405.01697
Hickok, M., & Maslej, N. (2023). A policy primer and roadmap on AI worker surveillance and productivity scoring tools. AI and Ethics, 3(3), 673-687. https://doi.org/10.1007/s43681-023-00275-8
Hougaard, R., & Carter, J. (2018). The mind of the leader: How to lead yourself, your people, and your organization for extraordinary results. Harvard Business Press.
Huang, L. (2023). Ethics of Artificial Intelligence in Education: Student Privacy and Data Protection. , 16(2), 2577-2587. https://doi.org/10.15354/sief.23.re202 Iansiti, M., Lakhani, K.R., 2020. Competing in the age of AI. Harv. Bus. Rev. 98 (1), 59–67.
Imran, N. M., Mishra, S., & Won, M. (2021). Towards fully autonomous drone-based last-mile delivery. arXiv preprint arXiv:2103.04118. https://doi.org/10.48550/arxiv.2103.04118 Jarrahi, M H. (2018, July 1). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Elsevier BV, 61(4), 577-586. https://doi.org/10.1016/j.bushor.2018.03.007
Johnson, P. C., Laurell, C., Ots, M., & Sandström, C. (2022). Digital innovation and the effects of artificial intelligence on firms’ research and development–Automation or augmentation, exploration or exploitation?. Technological Forecasting and Social Change, 179, 121636. https://doi.org/10.1016/j.techfore.2022.121636
Kahn, L H., Savas, O., Morrison, A., Shaffer, K A., & Zapata, L. (2020). Modelling Hybrid Human-Artificial Intelligence Cooperation: A Call Center Customer Service Case Study, 3072-3075. https://doi.org/10.1109/bigdata50022.2020.9377747
Kamalov, F., & Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Cornell University. https://doi.org/10.48550/arXiv.2305.
Kapucu, H. (2020). Technology effect on the leader behaviors in the digital era. Business & IT, 10(2), 12-31. https://doi.org/10.14311/bit.2020.03.02
Kapucu, H. (2020). Technology effect on the leader behaviors in the digital era. Business & IT, 10(2), 12-31. https://doi.org/10.14311/bit.2020.03.02
Karakoylu, P. E., Kural, A. G., & Gulden, S. (2020). The effect of artificial intelligence (AI) on new product development (NPD): a future scenario. In IOP Conference Series: Materials Science and Engineering (Vol. 960, No. 2, p. 022026). IOP Publishing. https://doi.org/10.1088/1757-899x/960/2/022026
Kim, M. (2018, September 19). The Effects of Authentic Leadership on Employees’ Well-Being and the Role of Relational Cohesion. https://doi.org/10.5772/intechopen.76427 Kochanny, S. E., & Pearson, A. T. (2021). Academics as leaders in the cancer artificial intelligence revolution. Cancer, 127(5), 664-671. https://doi.org/10.1002/cncr.33284
Kolbjørnsrud, V., Amico, R., & Thomas, R J. (2017). Partnering with AI: how organizations can win over skeptical managers. Emerald Publishing Limited, 45(1), 37-43. https://doi.org/10.1108/sl-12-2016-0085
Kordon, A. (2020, August). Applied artificial intelligence-based systems as competitive advantage. In 2020 IEEE 10th International Conference on Intelligent Systems (IS) (pp. 6-18). IEEE. https://doi.org/10.1109/IS48319.2020.9200097
Kotkar, R. V., & Potdar, S. M. (2024). Investigating the Development and Uses of Natural Language Processing in Educational Settings. IBMRD's Journal of Management & Research, 13(1), 77-85. http://dx.doi.org/10.17697/ibmrd%2F2024%2Fv13i1%2F173526
Kroll, J. A., Michael, J. B., & Thaw, D. B. (2021). Enhancing cybersecurity via artificial intelligence: Risks, rewards, and frameworks. Computer, 54(6), 64-71. https://doi.org/10.1109/MC.2021.3055703
Kshetri, N. (2021). Evolving uses of artificial intelligence in human resource management in emerging economies in the global South: some preliminary evidence. Management Research Review, 44(7), 970-990. http://dx.doi.org/10.1108/MRR-03-2020-0168
Kumar, B. R., Reddy, S. M., Madhuri, A., & Shireesha, M. (2024). The Role of Artificial Intelligence in Decision-Making Processes. https://doi.org/10.33472/AFJBS.6.6.2024.6344-6362
Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019, July 4). Understanding the Role of Artificial Intelligence in Personalized Engagement Marketing. SAGE Publishing, 61(4), 135-155. https://doi.org/10.1177/0008125619859317
Leong, C. (2018). Technology & recruiting 101: how it works and where it’s going. Strategic HR Review, 17(1), 50-52. https://doi.org/10.1108/shr-12-2017-0083
Leyer, M., & Schneider, S. (2021). Decision augmentation and automation with artificial intelligence: Threat or opportunity for managers?. Business Horizons, 64(5), 711-724. https://doi.org/10.1016/j.bushor.2021.02.026
Li, B., Qi, P., Bo, L., Di, S., Liu, J., Pei, J., Yi, J., & Zhou, B. (2023, January 16). Trustworthy AI: From Principles to Practices. Association for Computing Machinery, 55(9), 1-46. https://doi.org/10.1145/3555803
Li, C. (2022). The Impact and Response of Artificial Intelligence on the Theory of Enterprise Management. In 2022 3rd International Conference on Electronic Communication and Artificial Intelligence (IWECAI) (pp. 314-317). IEEE. https://doi.org/10.1109/IWECAI55315.2022.00067
Li, C., Haohao, S., & Ming, F. (2020, April). Research on the impact of artificial intelligence technology on accounting. In Journal of physics: conference series (Vol. 1486, No. 3, p. 032042). IOP Publishing. https://doi.org/10.1088/1742-6596/1486/3/032042
Liu, Y., & Song, J. (2022). Predictive analysis of the psychological state of charismatic leaders on employees' work attitudes based on artificial intelligence affective computing. Frontiers Media, 13. https://doi.org/10.3389/fpsyg.2022.965658
Madhani, P. M. (2017). Enhancing return on salesforce investment: reallocating incentives and training resources with intrinsic valuation approach. Compensation & Benefits Review, 49(3), 135-152. https://doi.org/10.1177/0886368718790294
Maghsudi, S., Lan, A S., Xu, J., & Schaar, M V D. (2021). Personalized Education in the Artificial Intelligence Era: What to Expect Next. Institute of Electrical and Electronics Engineers, 38(3), 37-50. https://doi.org/10.1109/msp.2021.3055032
Martin, A., & Ernst, C. (2005). Exploring leadership in times of paradox and complexity. Corporate Governance: The international journal of business in society, 5(3), 82-94. https://doi.org/10.1108/14720700510604724
Mazzetti, G., & Schaufeli, W B. (2022). The impact of engaging leadership on employee engagement and team effectiveness: A longitudinal, multi-level study on the mediating role of personal- and team resources. Public Library of Science, 17(6), e0269433-e0269433. https://doi.org/10.1371/journal.pone.0269433
McNeese, N. J., Schelble, B. G., Canonico, L. B., & Demir, M. (2021). Who/what is my teammate? Team composition considerations in human–AI teaming. IEEE Transactions on Human-Machine Systems, 51(4), 288-299. https://doi.org/10.48550/arxiv.2105.11000
McParland, C., & Connolly, R. (2019). Employee Monitoring in the Digital Era: Managing the Impact of Innovation. RELX Group (Netherlands). https://doi.org/10.2139/ssrn.3492245
Meng, F., Wang, Y., Xu, W., Ye, J., Peng, L., & Gao, P. (2020). The diminishing effect of transformational leadership on the relationship between task characteristics, perceived meaningfulness, and work engagement. Frontiers in Psychology, 11, 585031. https://doi.org/10.3389/fpsyg.2020.585031
Murphy, J., Gretzel, U., & Pesonen, J. (2021). Marketing robot services in hospitality and tourism: the role of anthropomorphism. In Future of Tourism Marketing (pp. 16-27). Routledge.
Niranjan, K., Narayana, K. S., & Rao, M. N. (2021, January). Role of artifical intelligence in logistics and supply chain. In 2021 international conference on computer communication and informatics (ICCCI) (pp. 1-3). IEEE. https://doi.org/10.1109/iccci50826.2021.9402625
Nishar, S. (2022). The Need for Smart Automation: Solving Customer Discontent in In-Store Pickup. Journal of Marketing & Supply Chain Management. SRC/JMSCM-135. https://doi.org/10.47363/JMSCM/2022 (1), 119, 2-4.
Noranee, S., & bin Othman, A. K. (2023). Understanding consumer sentiments: Exploring the role of artificial intelligence in marketing. JMM17: Jurnal Ilmu ekonomi dan manajemen, 10(1), 15-23. https://doi.org/10.30996/jmm17.v10i1.8690
Oberer, B., & Erkollar, A. (2018). Leadership 4.0: Digital leaders in the age of industry 4.0. International journal of organizational leadership.
Palos-Sánchez, P. R., Baena-Luna, P., Badicu, A., & Infante-Moro, J. C. (2022). Artificial intelligence and human resources management: A bibliometric analysis. Applied Artificial Intelligence, 36(1), 2145631, 3628-3655. https://doi.org/10.1080/08839514.2022.2145631
Panpan, L. (2022). Research on multiple leadership effectiveness from the perspective of technological change education. Frontiers in Educational Research, 5(7), 73-77. https://doi.org/10.25236/FER.2022.050714
Parasuraman, R., & Wickens, C. D. (2017). Humans: Still vital after all these years of automation. In Decision Making in Aviation (pp. 251-260). Routledge.
Park, H., Ahn, D., Hosanagar, K., & Lee, J. (2021, May). Human-AI interaction in human resource management: Understanding why employees resist algorithmic evaluation at workplaces and how to mitigate burdens. In Proceedings of the 2021 CHI conference on human factors in computing systems (pp. 1-15). https://doi.org/10.1145/3411764.3445304
Paudel, R. (2024). The impact of automation and artificial intelligence (AI) on leadership and the workforce. Indonesian Journal of Banking and Financial Technology, 2(2), 109-124. https://doi.org/10.55927/fintech.v2i2.8904
Pelau, C., Dabija, D. C., & Ene, I. (2021). What makes an AI device human-like? The role of interaction quality, empathy and perceived psychological anthropomorphic characteristics in the acceptance of artificial intelligence in the service industry. Computers in Human Behavior, 122, 106855. https://doi.org/10.1016/j.chb.2021.106855
Phillips, P P., & Phillips, J J. (2019, June 10). Combining motivational forces to deliver team performance and a positive ROI. Emerald Publishing Limited, 18(3), 109-115. https://doi.org/10.1108/shr-03-2019-0015
Phillips-Wren, G. (2012). AI tools in decision making support systems: a review. International Journal on Artificial Intelligence Tools, 21(02), 1240005. https://doi.org/10.1142/S0218213012400052
Pollak, Z. (2021). Predicting Customer Lifetime Values--ecommerce use case. arXiv preprint arXiv:2102.05771. https://doi.org/10.48550/arXiv.2102.05771
Prabu, R. T., Anitha, G., Mohanavel, V., Tamilselvi, M., & Ramkumar, G. (2022, November). Automated Crack and Damage Identification in Premises using Aerial Images based on Machine Learning Techniques. In 2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC) (pp. 498-504). IEEE. https://doi.org/10.1109/I-SMAC55078.2022.9987391
Prakash, N., & Mathewson, K. W. (2020). Conceptualization and Framework of Hybrid Intelligence Systems. arXiv preprint arXiv:2012.06161. https://doi.org/10.48550/arXiv.2012.
Prifti, V. (2022). Optimizing project management using artificial intelligence. European Journal of Formal Sciences and Engineering, 5(1), 30-38. https://doi.org/10.26417/667hri67
Quaquebeke, N. V., & Gerpott, F. H. (2023). The now, new, and next of digital leadership: How Artificial Intelligence (AI) will take over and change leadership as we know it. Journal of Leadership & Organizational Studies, 30(3), 265-275. https://doi.org/10.1177/15480518231181731
Rahmadani, V G., Schaufeli, W B., Stouten, J., Zhang, Z., & Zulkarnain, Z. (2020, January 26). Engaging Leadership and Its Implication for Work Engagement and Job Outcomes at the Individual and Team Level: A Multi-Level Longitudinal Study. Multidisciplinary Digital Publishing Institute, 17(3), 776-776. https://doi.org/10.3390/ijerph17030776
Raisch, S., Krakowski, S., 2021. Artificial intelligence and management: the automation-augmentation paradox. Acad. Manag. Rev. 46 (1), 1–48. https://doi.org/ 10.5465/amr.2018.0072.
Rani, P. (2020). A Comprehensive Survey of Artificial Intelligence (AI): Principles, Techniques, and Applications. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 11(3), 1990-2000. https://doi.org/10.17762/turcomat.v11i3.13596
Ransbotham, S., Khodabandeh, S., Fehling, R., LaFountain, B., & Kiron, D. (2019). Winning with AI. MIT Sloan management review.
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).
Roy, M. (2021). AI-Powered Workforce Management and Its Future in India. IntechOpen. https://doi.org/10.5772/intechopen.97817
Rožman, M., Tominc, P., & Milfelner, B. (2023). Maximizing employee engagement through artificial intelligent organizational culture in the context of leadership and training of employees: Testing linear and non-linear relationships. Cogent Business & Management, 10(2), 2248732. https://doi.org/10.1080/23311975.2023.2248732
Rzepka, C., & Berger, B. (2018). User interaction with AI-enabled systems: A systematic review of IS research.
Salo-Pöntinen, H., & Saariluoma, P. (2022). Reflections on the human role in AI policy formulations: how do national AI strategies view people?. Discover Artificial Intelligence, 2(1), 3. https://doi.org/10.1007/s44163-022-00019-3
Saracel, N., Bilgiç, E., Topal, F., Kozak, G. T., Kütükcü, H., & Madi, N. (2023). Yöneticilerin bakış açısı ile z kuşağı çalışanların liderlik beklentileri. İşletme Araştırmaları Dergisi, 15(2), 970-987. https://doi.org/10.20491/isarder.2023.1630
Sathisha, H. K., & Sowmya, G. S. (2024). Detecting Financial Fraud in the Digital Age: The AI and ML Revolution. Future and Emerging Technologies in AI & ML, 3(2), 61-66. https://doi.org/10.36948/ijfmr.2023.v05i05.6139
Saxena, A. (2020) “The Growing Role of Artificial Intelligence in Human Resource,” EPRA International Journal of Multidisciplinary Research (IJMR). 6(8), p. 152-158. https://doi.org/10.36713/epra4924.
Schoeffer, J., Jakubik, J., Voessing, M., Kühl, N., & Satzger, G. (2023, January 1). On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. Cornell University. https://doi.org/10.48550/arXiv.2304.
Schultz, M D., & Seele, P. (2022). Towards AI ethics’ institutionalization: knowledge bridges from business ethics to advance organizational AI ethics. Springer Nature, 3(1), 99-111. https://doi.org/10.1007/s43681-022-00150-y
Seeber, I., Bittner, E., Briggs, R O., Vreede, T D., Vreede, G D., Elkins, A., Maier, R., Merz, A B., Oeste-Reiß, S., Randrup, N., Schwabe, G., & Söllner, M. (2020). Machines as teammates: A research agenda on AI in team collaboration. Elsevier BV, 57(2), 103174-103174. https://doi.org/10.1016/j.im.2019.103174
Sen, W., Xiaomei, Z., & Lin, D. (2022). Impact of Job Demands on Employee Learning: The Moderating Role of Human–Machine Cooperation Relationship. Hindawi Publishing Corporation, 2022, 1-11. https://doi.org/10.1155/2022/7406716
Sharma, N., & Hosein, P. (2020). A Comparison of Data-Driven and Traditional Approaches to Employee Performance Assessment. https://doi.org/10.1109/idsta50958.2020.9264033
Sherson, J., Rabecq, B., Dellermann, D., & Rafner, J. (2023). A Multi-Dimensional Development and Deployment Framework for Hybrid Intelligence. In HHAI 2023: Augmenting Human Intellect (pp. 429-432). IOS Press. https://doi.org/10.3233/faia230119
Singh, S. (2023). Leadership Challenges and Strategies in the Era of AI Transformation. In 2023 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 119-124). https://doi.org/10.1109/CSCI62032.2023.00025
Smith, A., & Green, M. (2018). Artificial Intelligence and the Role of Leadership. Wiley, 12(3), 85-87. https://doi.org/10.1002/jls.21605
Smith, T. G., Norasi, H., Herbst, K. M., Kendrick, M. L., Curry, T. B., Grantcharov, T. P., ... & Cleary, S. P. (2022). Creating a Practical Transformational Change Management Model for Novel Artificial Intelligence–Enabled Technology Implementation in the Operating Room. Mayo Clinic Proceedings: Innovations, Quality & Outcomes, 6(6), 584-596. https://doi.org/10.1016/j.mayocpiqo.2022.09.004
Smith, W. K., Besharov, M. L., Wessels, A. K., & Chertok, M. (2012). A paradoxical leadership model for social entrepreneurs: Challenges, leadership skills, and pedagogical tools for managing social and commercial demands. Academy of Management Learning & Education, 11(3), 463-478.
Song, M., & Chen, X. (2021). Construction of Enterprise Business Management Analysis Framework in the Development of Artificial Intelligence. In 2021 International Conference on Computer Information Science and Artificial Intelligence (CISAI) (pp. 689-692). https://doi.org/10.1109/CISAI54367.2021.00139
Sreelakshmy, R., Kumar, A. K., Titus, A., Hemajothi, S., Venkatesh, J., & Lavanya, A. (2023). Design and Development of an AI based Intelligent Door for Home Security System. In 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (pp. 1-8). IEEE. https://doi.org/10.1109/ACCAI58221.2023.10200307
Stefik, M. (2023). Roots and Requirements for Collaborative AIs. arXiv preprint arXiv:2303.12040. https://doi.org/10.48550/arxiv.2303.12040
Şenses, B., & Temoçin, P. (2018). An interdisciplinary study: Quantum leadership and hybrid leadership. In Chaos, Complexity and Leadership 2016 4 (pp. 547-559). Springer International Publishing. https://doi.org/10.1007/978-3-319-64554-4_39
Taji, F. N. A., & Bengo, I. (2019). The distinctive managerial challenges of hybrid organizations: which skills are required?. Journal of Social Entrepreneurship, 10(3), 328-345. https://doi.org/10.1080/19420676.2018.1543724
Tang, O. Y., Ali, R., Connolly, I. D., Fridley, J. S., Sullivan, P. L. Z., Cielo, D., ... & Asaad, W. F. (2023). The Urgency of Neurosurgical Leadership in the Era of Artificial Intelligence. Neurosurgery, 93(3), e69-e70. https://doi.org/10.1227/neu.0000000000002576
Teng, Z., Cai, Y., Gao, Y., Zhang, X., & Li, X. (2022). Factors affecting learners’ adoption of an educational metaverse platform: An empirical study based on an extended UTAUT model. Mobile Information Systems, 2022(1), 5479215. https://doi.org/10.1155/2022/4398602
Tewari, I., & Pant, M. (2020). Artificial intelligence reshaping human resource management: A review. In 2020 IEEE international conference on advent trends in multidisciplinary research and innovation (ICATMRI) (pp. 1-4). IEEE. https://doi.org/10.1109/ICATMRI51801.2020.9398420
Thanh Nguyen Hai,Quang Nguyen Van. (2021). The Impact of the Fourth Industrial Revolution on Ethical Leadership. https://www.hefjournal.org/index.php/HEF/article/viewFile/21/pdf
Tilley, J. (2017). Automation, robotics, and the factory of the future. McKinsey & Company, 67(1), 67-72.
Tiwari, P., Pandey, R., Garg, V., & Singhal, A. (2021). Application of Artificial Intelligence in Human Resource Management Practices. https://doi.org/10.1109/confluence51648.2021.9377160
Tjondronegoro, D., Yuwono, E., Richards, B., Green, D., & Hatakka, S. (2022). Responsible AI implementation: A human-centered framework for accelerating the innovation process. arXiv preprint arXiv:2209.07076, 1-18. https://doi.org/10.48550/arxiv.2209.07076
Tong, S., Jia, N., Luo, X., & Fang, Z. (2021). The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance. Strategic Management Journal, 42(9), 1600-1631.https://doi.org/10.1002/smj.3322
Touma, J. (2022). Ethics behind Leadership in Different Economies. American Journal of Industrial and Business Management, 12(2), 135-144. https://doi.org/10.4236/ajibm.2022.122009
Türegün, N. (2019). Impact of technology in financial reporting: The case of Amazon Go. Journal of Corporate Accounting & Finance, 30(3), 90-95. https://doi.org/10.1002/jcaf.22394
Uşaklı, H. (2017). Sosyal Duygusal Öğrenme Nedir Neden Önemlidir (Insan Ilişkilerinde Beş Duygu Alani). Sinop Üniversitesi Sosyal Bilimler Dergisi, 1(2), 1-16.
Wagner, D. N. (2020). Strategically managing the artificially intelligent firm. Strategy & Leadership, 48(3), 19-25. https://doi.org/10.1108/SL-08-2019-0119
Wagner, D. N. (2020). Strategically managing the artificially intelligent firm. In D. N. Wagner, Strategy and Leadership (Vol. 48, Issue 3, p. 19). Emerald Publishing Limited. https://doi.org/10.1108/sl-08-2019-0119
Walczak, S. (2016). Artificial neural networks and other AI applications for business management decision support. International Journal of Sociotechnology and Knowledge Development (IJSKD), 8(4), 1-20. https://doi.org/10.4018/ijskd.2016100101
Wang, Y. (2021). Artificial intelligence in educational leadership: a symbiotic role of human-artificial intelligence decision-making. Journal of Educational Administration, 59(3), 256-270. https://doi.org/10.1108/jea-10-2020-0216
Wang, Y. (2021). When artificial intelligence meets educational leaders’ data-informed decision-making: A cautionary tale. Studies in Educational Evaluation, 69, 100872. https://doi.org/10.1016/j.stueduc.2020.100872
Ward, P., Gore, J., Hutton, R., Conway, G. E., & Hoffman, R. R. (2018). Adaptive skill as the conditio sine qua non of expertise. Journal of applied research in memory and cognition, 7(1), 35-50. https://doi.org/10.1016/j.jarmac.2018.01.009
Watson, G. J., Desouza, K. C., Ribiere, V. M., & Lindič, J. (2021). Will AI ever sit at the C-suite table? The future of senior leadership. Business Horizons, 64(4), 465-474. https://doi.org/10.1016/j.bushor.2021.02.011
Wilson, H. J., & Daugherty, P. R. (2018). Collaborative intelligence: Humans and AI are joining forces. Harvard Business Review, 96(4), 114-123.
Xiong, W. (2022). AI and Leadership. In 2022 7th International Conference on Modern Management and Education Technology (MMET 2022) (pp. 497-503). Atlantis Press. https://doi.org/10.2991/978-2-494069-51-0_69
Xu, W., & Gao, Z. (2024). Applying HCAI in developing effective human-AI teaming: A perspective from human-AI joint cognitive systems. Interactions, 31(1), 32-37. https://doi.org/10.48550/arXiv.2307.
Xu, Y., Li, D., & Gong, S. (2020). The Combination of Artificial Intelligence and Enterprise Management Innovation [J]. Business Economics Research, 10, 113-116.
Yen, I. L., Bastani, F., Huang, Y., Zhang, Y., & Yao, X. (2017, June). SaaS for automated job performance appraisals using service technologies and big data analytics. In 2017 IEEE International Conference on Web Services (ICWS) (pp. 412-419). IEEE. https://doi.org/10.1109/icws.2017.47
Yigit, A., & Kanbach, D. K. (2023). The significance of technology-driven entrepreneurship activities: Lessons from SMEs operating in the manufacturing industry. Cogent business & management, 10(1), 2185069. https://doi.org/10.1080/23311975.2023.2185069
Yörük, M., & Sökmen, A. (2020). Stratejik zekâ yönetim sisteminin kurumsal performansa etkisi. İşletme Araştırmaları Dergisi, 12(1), 631-648. https://doi.org/10.20491/isarder.2020.867
Yuan, J. (2018). HR Predictive Data Analytics in the Era of Big Data. In 2018 International Conference on Economics, Business, Management and Corporate Social Responsibility (EBMCSR 2018) (pp. 388-390). Atlantis Press. https://doi.org/10.2991/ebmcsr-18.2018.75
Zel, S., & Kongar, E. (2020, September). Transforming digital employee experience with artificial intelligence. In 2020 IEEE/ITU International Conference on Artificial Intelligence for Good (AI4G) (pp. 176-179). IEEE. https://doi.org/10.1109/ai4g50087.2020.9311088
Zhang, Y. (2019). The application of artificial intelligence in logistics and express delivery. In Journal of Physics: Conference Series (Vol. 1325, No. 1, p. 012085). IOP Publishing. https://doi.org/10.1088/1742-6596/1325/1/012085
Zhou, L., Zhang, L., & Konz, N. (2022). Computer vision techniques in manufacturing. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(1), 105-117. https://doi.org/10.1109/tsmc.2022.3166397
Zhu, R., Zhao, K., Yang, H., Lin, W., Zhou, C., Ai, B., ... & Zhou, J. (2019). Aligraph: A comprehensive graph neural network platform. arXiv preprint arXiv:1902.08730. https://doi.org/10.48550/arXiv.1902.08730

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Turkish

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Management Sociology

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Research Article

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Abdülkadir Akturan ^*
0009-0008-9107-0333
Türkiye

Publication Date

November 30, 2024

Submission Date

September 23, 2024

Acceptance Date

November 28, 2024

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Year 2024 Volume: 8 Number: 2

DOI

https://doi.org/10.30561/sinopusd.1554856

IZ

https://izlik.org/JA55WU78BU

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RIS / Bibtex

APA

Akturan, A. (2024). Yapay Zekânın İşletme Yönetimi ve Liderlik Üzerindeki Etkileri: Bir Literatür İncelemesi. Sinop Üniversitesi Sosyal Bilimler Dergisi, 8(2), 1305-1348. https://doi.org/10.30561/sinopusd.1554856

AMA

1.Akturan A. Yapay Zekânın İşletme Yönetimi ve Liderlik Üzerindeki Etkileri: Bir Literatür İncelemesi. Sinop Üniversitesi Sosyal Bilimler Dergisi. 2024;8(2):1305-1348. doi:10.30561/sinopusd.1554856

Chicago

Akturan, Abdülkadir. 2024. “Yapay Zekânın İşletme Yönetimi Ve Liderlik Üzerindeki Etkileri: Bir Literatür İncelemesi”. Sinop Üniversitesi Sosyal Bilimler Dergisi 8 (2): 1305-48. https://doi.org/10.30561/sinopusd.1554856.

EndNote

Akturan A (November 1, 2024) Yapay Zekânın İşletme Yönetimi ve Liderlik Üzerindeki Etkileri: Bir Literatür İncelemesi. Sinop Üniversitesi Sosyal Bilimler Dergisi 8 2 1305–1348.

IEEE

[1]A. Akturan, “Yapay Zekânın İşletme Yönetimi ve Liderlik Üzerindeki Etkileri: Bir Literatür İncelemesi”, Sinop Üniversitesi Sosyal Bilimler Dergisi, vol. 8, no. 2, pp. 1305–1348, Nov. 2024, doi: 10.30561/sinopusd.1554856.

ISNAD

Akturan, Abdülkadir. “Yapay Zekânın İşletme Yönetimi Ve Liderlik Üzerindeki Etkileri: Bir Literatür İncelemesi”. Sinop Üniversitesi Sosyal Bilimler Dergisi 8/2 (November 1, 2024): 1305-1348. https://doi.org/10.30561/sinopusd.1554856.

JAMA

1.Akturan A. Yapay Zekânın İşletme Yönetimi ve Liderlik Üzerindeki Etkileri: Bir Literatür İncelemesi. Sinop Üniversitesi Sosyal Bilimler Dergisi. 2024;8:1305–1348.

MLA

Akturan, Abdülkadir. “Yapay Zekânın İşletme Yönetimi Ve Liderlik Üzerindeki Etkileri: Bir Literatür İncelemesi”. Sinop Üniversitesi Sosyal Bilimler Dergisi, vol. 8, no. 2, Nov. 2024, pp. 1305-48, doi:10.30561/sinopusd.1554856.

Vancouver

1.Abdülkadir Akturan. Yapay Zekânın İşletme Yönetimi ve Liderlik Üzerindeki Etkileri: Bir Literatür İncelemesi. Sinop Üniversitesi Sosyal Bilimler Dergisi. 2024 Nov. 1;8(2):1305-48. doi:10.30561/sinopusd.1554856

The Effects of Artificial Intelligence Applications on Effective Management Processes in Organizations: A Literature Review

Uluslararası Yönetim Akademisi Dergisi

https://doi.org/10.33712/mana.1761141

Yapay Zeka Çağında Liderliğin Dönüşümü Kavramsal bir İnceleme

Uluslararası Liderlik Çalışmaları Dergisi: Kuram ve Uygulama

https://doi.org/10.52848/ijls.1969045

Yapay Zekânın İşletme Yönetimi ve Liderlik Üzerindeki Etkileri: Bir Literatür İncelemesi

Yapay Zekânın İşletme Yönetimi ve Liderlik Üzerindeki Etkileri: Bir Literatür İncelemesi

Abstract

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Cited By

Yapay Zekâ Uygulamalarının İş Süreçlerine Katkısı

Yapay Zeka Destekli İnsan Kaynakları Yönetimi: Çalışan Deneyiminin Dönüşümü

Transformation of School Leadership in the AI Era: Requisite Leadership Roles of Teachers

Yöneticilerin Yapay Zekaya Yönelik Algılarının Liderlik Stilleri Üzerindeki Etkileri

The Effects of Artificial Intelligence Applications on Effective Management Processes in Organizations: A Literature Review

Yapay Zeka Çağında Liderliğin Dönüşümü Kavramsal bir İnceleme