Revolutionizing Management: The Role of AI and Technology in Modern Leadership Practices
DOI:
https://doi.org/10.61455/sicopus.v3i01.235Keywords:
artificial intelligence (ai), technology, leadership practices, project management software, management efficiencyAbstract
Objective: The incorporation of artificial intelligence (AI) and technological tools into managerial processes marks a significant evolution in modern leadership practices, driven by the need to address complex organizational challenges and capitalize on technological advancements. This study aims to investigate the impact of AI and technology on leadership practices, focusing on their implications for efficiency, adaptability, and employee engagement. Theoretical framework: The research is grounded in a theoretical framework that combines technological innovation with contemporary leadership models, emphasizing the role of AI-powered tools and project management software in enhancing managerial workflows. Literature Review: A literature review provides insights into previous studies that highlight the transformative potential of these technologies while addressing associated challenges, such as ethical concerns and employee resistance. Methods: Employing a qualitative methodology, this study analyzes case studies and relevant literature to explore how organizations integrate AI and technological tools to achieve competitive advantages. Results: The findings reveal that AI-driven insights significantly improve predictive analytics, enabling leaders to make strategic decisions, while project management software optimizes task allocation and communication, fostering team collaboration. However, challenges such as resistance to adoption and the need for employee training are identified as critical barriers to effective implementation. Implications: The study's implications are twofold: first, it offers a practical framework for leaders aiming to integrate AI and technology into their management practices, emphasizing strategies to enhance efficiency, decision-making, and teamwork; second, it highlights the importance of addressing ethical considerations and ensuring employee readiness through comprehensive training programs. Novelty: This research contributes novelty by providing a holistic perspective on the integration of AI and technology in leadership, bridging the gap between technological innovation and human-centric management approaches. By adopting the proposed framework, leaders can navigate potential challenges and leverage technological tools to transform their leadership practices, ensuring organizational adaptability and sustained success in a rapidly evolving landscape.
References
R. Chaudhuri, S. Chatterjee, D. Vrontis, and S. Chaudhuri, “Innovation in SMEs, AI Dynamism, and Sustainability: The Current Situation and Way Forward,” Sustain., vol. 14, no. 19, 2022, https://doi.org/10.3390/su141912760.
M. S. Reshetnikova and I. A. Mikhaylov, “Artificial Intelligence Development: Implications for China,” Montenegrin J. Econ., vol. 19, no. 1, pp. 139–152, 2023, https://doi.org/10.14254/1800-5845/2023.19-1.12.
Y. Yang, L. Chen, W. He, D. Sun, and S. Z. Salas-Pilco, “Artificial Intelligence for Enhancing Special Education for K-12: A Decade of Trends, Themes, and Global Insights (2013–2023),” Int. J. Artif. Intell. Educ., 2024, https://doi.org/10.1007/s40593-024-00422-0.
Z. M. Cheng, F. Bonetti, A. de Regt, J. L. Ribeiro, and K. Plangger, “Principles of responsible digital implementation: Developing operational business resilience to reduce resistance to digital innovations,” Organ. Dyn., vol. 53, no. 2, 2024, https://doi.org/10.1016/j.orgdyn.2024.101043.
M. Shick, N. Johnson, and Y. Fan, “Artificial intelligence and the end of bounded rationality: a new era in organizational decision making,” Dev. Learn. Organ., vol. 38, no. 4, pp. 1–3, 2024, https://doi.org/10.1108/DLO-02-2023-0048.
M. V Chatikobo and N. Pasipamire, “Readiness to embrace artificial intelligence in information literacy instruction at a Zimbabwean University,” Cogent Educ., vol. 11, no. 1, 2024, https://doi.org/10.1080/2331186X.2024.2425209.
S. S. Webber, “Paradox of artificial intelligence as teammate,” Organ. Dyn., 2024, https://doi.org/10.1016/j.orgdyn.2024.101116.
S. Chatterjee, R. Chaudhuri, A. Thrassou, and D. Vrontis, “International relationship management during social distancing: the role of AI-integrated social CRM by MNEs during the Covid-19 pandemic,” Int. Mark. Rev., vol. 40, no. 5, pp. 1263–1294, 2023, https://doi.org/10.1108/IMR-12-2021-0372.
Y. Chen, L. J. Albert, and S. Jensen, “Innovation farm: Teaching artificial intelligence through gamified social entrepreneurship in an introductory MIS course*,” Decis. Sci. J. Innov. Educ., vol. 20, no. 1, pp. 43–56, 2022, https://doi.org/10.1111/dsji.12253.
M. Van Geenhuizen, “Knowledge Advancing Shopping Mall Living Labs and Customer Value Co-Creation, with a Focus on Social Integration,” Sustain., vol. 15, no. 22, 2023, https://doi.org/10.3390/su152216099.
D. Vrontis, R. Chaudhuri, and S. Chatterjee, “Role of ChatGPT and Skilled Workers for Business Sustainability: Leadership Motivation as the Moderator,” Sustain., vol. 15, no. 16, 2023, https://doi.org/10.3390/su151612196.
Y. Chen, C. Velu, and D. McFarlane, “Robot Adoption and Profitability: The Opportunities and Challenges Ahead,” IEEE Eng. Manag. Rev., 2024, https://doi.org/10.1109/EMR.2024.3430053.
S. Min and B. Kim, “Adopting Artificial Intelligence Technology for Network Operations in Digital Transformation,” Adm. Sci., vol. 14, no. 4, 2024, https://doi.org/10.3390/admsci14040070.
M. A. Camilleri, L. Zhong, M. S. Rosenbaum, and J. Wirtz, “Ethical considerations of service organizations in the information age信息时代服务组织的道德思考,” Serv. Ind. J., vol. 44, no. 9–10, pp. 634–660, 2024, https://doi.org/10.1080/02642069.2024.2353613.
F. Niederman, “Project management: openings for disruption from AI and advanced analytics,” Inf. Technol. People, vol. 34, no. 6, pp. 1570–1599, 2021, https://doi.org/10.1108/ITP-09-2020-0639.
M. Sayyadi, “How to improve data quality to empower business decision-making process and business strategy agility in the AI age,” Bus. Inf. Rev., vol. 41, no. 3, pp. 124–129, 2024, https://doi.org/10.1177/02663821241264705.
E. A. Abedi and A. K. Ametepey, “Leadership practices and support structures enabling teachers’ informal learning for educational technology use: an appreciative inquiry approach,” Prof. Dev. Educ., 2024, https://doi.org/10.1080/19415257.2024.2330973.
A. Barcaui and A. Monat, “Who is better in project planning?Generative artificial intelligence or project managers?,” Proj. Leadersh. Soc., vol. 4, 2023, https://doi.org/10.1016/j.plas.2023.100101.
A. Zerfass, J. Hagelstein, and R. Tench, “Artificial intelligence in communication management: a cross-national study on adoption and knowledge, impact, challenges and risks,” J. Commun. Manag., vol. 24, no. 4, pp. 377–389, 2020, https://doi.org/10.1108/JCOM-10-2019-0137.
K. Parry, M. Cohen, and S. Bhattacharya, “Rise of the Machines: A Critical Consideration of Automated Leadership Decision Making in Organizations,” Gr. Organ. Manag., vol. 41, no. 5, pp. 571–594, 2016, https://doi.org/10.1177/1059601116643442.
Y. Wang, “Artificial intelligence in educational leadership: a symbiotic role of human-artificial intelligence decision-making,” J. Educ. Adm., vol. 59, no. 3, pp. 256–270, 2021, https://doi.org/10.1108/JEA-10-2020-0216.
M. Truninger, M. N. Ruderman, C. Clerkin, K. C. Fernandez, and D. Cancro, “Sounds like a leader: An ascription–actuality approach to examining leader emergence and effectiveness,” Leadersh. Q., vol. 32, no. 5, 2021, https://doi.org/10.1016/j.leaqua.2020.101420.
P. Nivetha and S. Sudhamathi, “Marketing trends using latest technology,” Int. J. Recent Technol. Eng., vol. 8, no. 2 Special Issue 6, pp. 700–703, 2019, https://doi.org/10.35940/ijrte.B1132.0782S619.
M. Petrin, “The Impact Of Ai And New Technologies On Corporate Governance And Regulation,” Singapore J. Leg. Stud., vol. 2024-March, pp. 90–106, 2024, https://doi.org/10.2139/ssrn.4891647.
M. Matsunaga, “Uncertainty management, transformational leadership, and job performance in an AI-powered organizational context,” Commun. Monogr., vol. 89, no. 1, pp. 118–139, 2022, https://doi.org/10.1080/03637751.2021.1952633.
A. Kiani, “Artificial intelligence in entrepreneurial project management: a review, framework and research agenda,” Int. J. Manag. Proj. Bus., 2024, https://doi.org/10.1108/IJMPB-03-2024-0068.
R. Levitt, J. Pollack, and J. Whyte, “Leadership and the dynamics of projects: Ray Levitt’s insights on project leadership,” Proj. Leadersh. Soc., vol. 5, 2024, https://doi.org/10.1016/j.plas.2024.100131.
G. Christou, T. Meyer, and R. Fanni, “The European union: assessing global leadership through actorness in artificial intelligence,” J. Eur. Integr., 2024, https://doi.org/10.1080/07036337.2024.2377200.
S. Chatterjee, R. Chaudhuri, D. Vrontis, and F. Jabeen, “Digital transformation of organization using AI-CRM: From microfoundational perspective with leadership support,” J. Bus. Res., vol. 153, pp. 46–58, 2022, https://doi.org/10.1016/j.jbusres.2022.08.019.
R. Sibisanu, S. Cseminschi, A. Ionica, M. Leba, A. Draghici, and Y. Nassar, “Investigating School Principals’ Burnout: A Cross-Cultural Perspective on Stress, Sustainability, and Organizational Climate,” Sustain., vol. 16, no. 16, 2024, https://doi.org/10.3390/su16167016.
H. Aguinis, J. R. Beltran, and A. Cope, “How to use generative AI as a human resource management assistant,” Organ. Dyn., vol. 53, no. 1, 2024, https://doi.org/10.1016/j.orgdyn.2024.101029.
S. Chatterjee, R. Chaudhuri, and D. Vrontis, “AI and digitalization in relationship management: Impact of adopting AI-embedded CRM system,” J. Bus. Res., vol. 150, pp. 437–450, 2022, https://doi.org/10.1016/j.jbusres.2022.06.033.
T. Newstead, B. Eager, and S. Wilson, “How AI can perpetuate – Or help mitigate – Gender bias in leadership,” Organ. Dyn., vol. 52, no. 4, 2023, https://doi.org/10.1016/j.orgdyn.2023.100998.
M. Valery, S. Alexey, B. Natalia, and B. Aleksandr, “Experience In The Use Of Artificial Intelligence In Making Managerial Decisions In The Construction Of Real Estate,” J. Appl. Eng. Sci., vol. 21, no. 2, pp. 712–720, 2023, https://doi.org/10.5937/jaes0-42295.
C. Riedmann-Streitz et al., “How to Create and Foster Sustainable Smart Cities? Insights on Ethics, Trust, Privacy, Transparency, Incentives, and Success,” Int. J. Hum. Comput. Interact., 2024, https://doi.org/10.1080/10447318.2024.2325175
L. Pereira, R. Nobre, Á. Dias, R. L. da Costa, and R. Gonçalves, “Artificial intelligence and project management: exploring the contributions and implications,” Int. J. Logist. Syst. Manag., vol. 47, no. 4, pp. 432–467, 2024, https://doi.org/10.1504/IJLSM.2024.138916.
K. Nayal, R. Raut, P. Priyadarshinee, B. E. Narkhede, Y. Kazancoglu, and V. Narwane, “Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic,” Int. J. Logist. Manag., vol. 33, no. 3, pp. 744–772, 2022, https://doi.org/10.1108/IJLM-12-2020-0493.
S.-E.-E. Soomro et al., “How effective is Twitter (X) social media data for urban flood management?,” J. Hydrol., vol. 634, 2024, https://doi.org/10.1016/j.jhydrol.2024.131129.
S. C. Figueiredo, “Rhetoric in the metaverse,” Convergence, vol. 29, no. 1, pp. 81–96, 2023, https://doi.org/10.1177/13548565221138399.
N. Ghamrawi, T. Shal, and N. A. R. Ghamrawi, “Exploring the impact of AI on teacher leadership: regressing or expanding?,” Educ. Inf. Technol., vol. 29, no. 7, pp. 8415–8433, 2024, https://doi.org/10.1007/s10639-023-12174-w.
B. Weber-Lewerenz and I. Vasiliu-Feltes, “Empowering Digital Innovation by Diverse Leadership in ICT – A Roadmap to a Better Value System in Computer Algorithms,” Humanist. Manag. J., vol. 7, no. 1, pp. 117–134, 2022, https://doi.org/10.1007/s41463-022-00123-7.
C. Aicardi, B. T. Fothergill, S. Rainey, B. C. Stahl, and E. Harris, “Accompanying technology development in the Human Brain Project: From foresight to ethics management,” Futures, vol. 102, pp. 114–124, 2018, https://doi.org/10.1016/j.futures.2018.01.005.
P. Miraj, M. A. Berawi, A. Aninditya, and M. Sari, “Evaluating the impact of knowledge management and database management on decision-making process: A case study of subsea project services,” J. Open Innov. Technol. Mark. Complex., vol. 10, no. 3, 2024, https://doi.org/10.1016/j.joitmc.2024.100340.
M. S. S. Danish and T. Senjyu, “AI-Enabled Energy Policy for a Sustainable Future,” Sustain., vol. 15, no. 9, 2023, https://doi.org/10.3390/su15097643.
H. Aladağ, “Assessing the Accuracy of ChatGPT Use for Risk Management in Construction Projects,” Sustain., vol. 15, no. 22, 2023, https://doi.org/10.3390/su152216071.
D. La Torre, C. Colapinto, I. Durosini, and S. Triberti, “Team Formation for Human-Artificial Intelligence Collaboration in the Workplace: A Goal Programming Model to Foster Organizational Change,” IEEE Trans. Eng. Manag., vol. 70, no. 5, pp. 1966–1976, 2023, https://doi.org/10.1109/TEM.2021.3077195.
S. Rani, D. Jining, K. Shoukat, M. U. Shoukat, and S. A. Nawaz, “A Human–Machine Interaction Mechanism: Additive Manufacturing for Industry 5.0—Design and Management,” Sustain. , vol. 16, no. 10, 2024, https://doi.org/10.3390/su16104158.
J. Bokrantz, M. Subramaniyan, and A. Skoogh, “Realising the promises of artificial intelligence in manufacturing by enhancing CRISP-DM,” Prod. Plan. Control, vol. 35, no. 16, pp. 2234–2254, 2024, https://doi.org/10.1080/09537287.2023.2234882.
T. V Fridgeirsson, H. T. Ingason, H. I. Jonasson, and H. Jonsdottir, “An authoritative study on the near future effect of artificial intelligence on project management knowledge areas,” Sustain., vol. 13, no. 4, pp. 1–20, 2021, https://doi.org/10.3390/su13042345.
H. Behrooz, C. Lipizzi, G. Korfiatis, M. Ilbeigi, M. Powell, and M. Nouri, “Towards Automating the Identification of Sustainable Projects Seeking Financial Support: An AI-Powered Approach,” Sustain., vol. 15, no. 12, 2023, https://doi.org/10.3390/su15129701.
M. I. Merhi and A. Harfouche, “Enablers of artificial intelligence adoption and implementation in production systems,” Int. J. Prod. Res., vol. 62, no. 15, pp. 5457–5471, 2024, https://doi.org/10.1080/00207543.2023.2167014.
T. Aljaž, “Leveraging ChatGPT for Enhanced Logical Analysis in the Theory of Constraints Thinking Process,” Organizacija, vol. 57, no. 2, pp. 202–214, 2024, https://doi.org/10.2478/orga-2024-0014.
G. Castelblanco, L. Cruz-Castro, and Z. Yang, “Performance of a Large-Language Model in scoring construction management capstone design projects,” Comput. Appl. Eng. Educ., vol. 32, no. 6, 2024, https://doi.org/10.1002/cae.22796.
C. R. G. Popescu and J. D. Šebestová, “The impact of artificial intelligence on intellectual capital development: Shifting requirements for professions and processes in the non-profit sector,” J. Infrastructure, Policy Dev., vol. 8, no. 10, 2024, https://doi.org/10.24294/jipd.v8i10.3899.
D. Sharma, “Critical Thinking and Problem-Solving in the Age of ChatGPT: Experiential-Bibliotherapy-Blogging Project,” Bus. Prof. Commun. Q., 2024, https://doi.org/10.1177/23294906241254780.
T. Hatzichristos, A. Darra, and A. Kostellou, “Development of a Geodemographic System for Attica, Greece,” Eur. J. Geogr., vol. 13, no. 5, 2022, https://doi.org/10.48088/ejg.t.cha.13.5.001.014.
V. Holzmann, D. Zitter, and S. Peshkess, “The Expectations of Project Managers from Artificial Intelligence: A Delphi Study,” Proj. Manag. J., vol. 53, no. 5, pp. 438–455, 2022, https://doi.org/10.1177/87569728211061779.
N. Takahashi, A. Javed, and Y. Kohda, “How Low-Code Tools Contribute to Diversity, Equity, and Inclusion (DEI) in the Workplace: A Case Study of a Large Japanese Corporation,” Sustain. , vol. 16, no. 13, 2024, https://doi.org/10.3390/su16135327.
D. A. Julian, T. Smith, and R. A. Hunt, “Ethical Challenges Inherent in the Evaluation of an American Indian/Alaskan Native Circles of Care Project,” Am. J. Community Psychol., vol. 60, no. 3–4, pp. 336–345, 2017, https://doi.org/10.1002/ajcp.12192.
S. I. C. Lemos, F. A. F. Ferreira, C. Zopounidis, E. Galariotis, and N. C. M. Q. F. Ferreira, “Artificial intelligence and change management in small and medium-sized enterprises: an analysis of dynamics within adaptation initiatives,” Ann. Oper. Res., 2022, https://doi.org/10.1007/s10479-022-05159-4.
D. L. Roberts and M. Candi, “Artificial intelligence and innovation management: Charting the evolving landscape,” Technovation, vol. 136, 2024, https://doi.org/10.1016/j.technovation.2024.103081.
J. M. Alvarez et al., “Policy advice and best practices on bias and fairness in AI,” Ethics Inf. Technol., vol. 26, no. 2, 2024, https://doi.org/10.1007/s10676-024-09746-w.
