Synergizing Entrepreneurial Leadership with Artificial Intelligence: An Evolving Paradigm for Organizational Success

Authors

  • Dr. Navendu Nidhan Author
  • Dr. B. K. Singh Author
  • Dr. Ritika Maurya Author

Keywords:

Entrepreneurial Leadership, Artificial Intelligence, Organizational Innovation, Adaptive Strategies, Technology Integration

Abstract

In an era where innovation and adaptation are paramount for organizational success, the fusion of entrepreneurial leadership and artificial intelligence (AI) stands as a promising avenue. Entrepreneurial leadership embodies the visionary and proactive approach that drives innovation, while artificial intelligence, with its cognitive capabilities, offers unprecedented potential for transforming organizational strategies. This abstract explores the dynamic synergy between entrepreneurial leadership and AI, unravelling their combined influence on organizational innovation, adaptive strategies, and competitive advantage.Entrepreneurial leadership, characterized by its risk-taking propensity, proactive vision, and adaptability, has long been recognized as a catalyst for organizational growth. However, the integration of AI augments this paradigm by offering enhanced decision-making through datadriven insights, predictive analytics, and automation. AI-driven algorithms and machine learning applications empower leaders with real-time information and analysis, enabling them to make informed, agile decisions crucial for navigating dynamic market landscapes.
The marriage of entrepreneurial leadership with AI creates an environment where innovation thrives. AI's capacity to process massive datasets expeditiously assists entrepreneurial leaders in identifying emerging trends, customer preferences, and potential market gaps. This, in turn, allows for the swift development and implementation of novel business models and strategies. Additionally, the utilization of AI in optimizing operational processes not only streamlines efficiency but also frees up time for entrepreneurial leaders to focus on strategic initiatives, fostering a culture of continuous innovation and improvement.Moreover, the amalgamation of entrepreneurial leadership and AI necessitates a redefinition of organizational structures and leadership roles. It demands leaders to exhibit a balance between embracing technological advancements and preserving human-centric values, fostering a culture that promotes creativity, adaptability, and ethical AI use.This abstract advocates for an in-depth exploration of the evolving landscape where entrepreneurial leadership converges with AI, offering a unique perspective on leveraging.

References

Avolio, B. J. (2005). Leadership development in balance: Made/born. Psychology Press.

Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of

Management, 17(1), 99-120.

Bass, B. M., & Riggio, R. E. (2006). Transformational leadership (2nd ed.). Psychology Press.

Birkinshaw, J., & Gupta, K. (2013). Clarifying the distinctive contribution of ambidexterity to

the field of organization studies. Academy of Management Perspectives, 27(4), 287-

Bock, A. J., Opsahl, T., George, G., & Gann, D. M. (2012). The effects of culture and structure

on strategic flexibility during business model innovation. Journal of Management

Studies, 49(2), 279-305.

Boudreau, K. J., & Jeppesen, L. B. (2015). Unpaid crowd complementors: The platform

network effect mirage. Strategic Management Journal, 36(12), 1761-1777

Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and

prosperity in a time of brilliant technologies. W. W. Norton & Company.

Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital

future. W. W. Norton & Company.

Chesbrough, H., & Bogers, M. (2014). Explicating open innovation: Clarifying an emerging

paradigm for understanding innovation. In New Frontiers in Open Innovation (pp. 3-

. Oxford University Press.

Covin, J. G., & Slevin, D. P. (1991). A conceptual model of entrepreneurship as firm behavior.

Entrepreneurship Theory and Practice, 16(1), 7-25.

Davenport, T. H. (2018). The AI advantage: How to put the artificial intelligence revolution to

work. MIT Press.

Davila, T., Epstein, M. J., & Shelton, R. (2006). Making innovation work: How to manage it,

measure it, and profit from it. FT Press.

Dignum, V. (2018). Responsible artificial intelligence: How to develop and use AI in a

responsible way. Springer.

Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., ... & Schafer, B.

(2018). AI4People—An ethical framework for a good AI society: Opportunities, risks,

principles, and recommendations. Minds and Machines, 28(4), 689-707.

Hayes, N., & Finnegan, G. (2010). Using artificial intelligence to build intelligent decision

support systems: A survey of decision support systems in use. Journal of Decision

Systems, 19(4), 459-479.

He, W., Lien, B. Y. H., & Zhai, Y. (2020). The effects of machine translation and computeraided translation on translator performance: A case study of the translation process.

Information & Management, 57(5), 103225.

Hisrich, R. D., & Ramadani, V. (2017). Entrepreneurship/entrepreneurial orientation in the

public sector: A systematic literature review. Journal of Enterprising Culture, 25(2),

-199.

Jiao, R. J., Al-Ani, A., & Tseng, M. M. (2020). Artificial intelligence: A framework for success.

Springer.

Kuratko, D. F. (2007). Entrepreneurial leadership in the 21st century: Guest editor's

perspective. Journal of Leadership & Organizational Studies, 13(4), 1-11.

O'Reilly, C. A., & Tushman, M. L. (2016). Organizational ambidexterity: Past, present, and

future. Academy of Management Perspectives, 30(4), 309-327

Rigby, D. K., Sutherland, J., & Takeuchi, H. (2016). Embracing agile: How to master the

process that's transforming management. Harvard Business Review, 94(5), 40-50.

Strohmeier, S., Piazza, F., & Stocker, A. (2018). Artificial intelligence and data protection in

insurance markets. AI & Society, 33(4), 559-568.

Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management.

Strategic Management Journal, 18(7), 509-533.

Venkatraman, N. (2017). Digitizing the enterprise: Implications for IT and business strategy.

MIT Sloan Management Review, 58(2), 1-15.

West, J., & Bogers, M. (2014). Leveraging external sources of innovation: A review of research

on open innovation. Journal of Product Innovation Management, 31(4), 814-831.

Wirtz, B. W., Eichelberg, D., Lwin, M. O., & Cheok, A. D. (2018). The future of smart cities:

A networked-based approach. In Handbook of Research on Cross-industry Innovations

in the Global Context (pp. 282-305). IGI Global.

Zhang, W., & Bartol, K. M. (2010). Linking empowering leadership and employee creativity:

The influence of psychological empowerment, intrinsic motivation, and creative

process engagement. Academy of Management Journal, 53(1), 107-128

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Published

2024-03-09