Welcome to Francis Academic Press

Academic Journal of Business & Management, 2024, 6(4); doi: 10.25236/AJBM.2024.060412.

Management Philosophy in the Digital Intelligence Era

Author(s)

Yang Gao, Wanli Ma

Corresponding Author:
Yang Gao
Affiliation(s)

Dalian University of Technology, Dalian, China

Abstract

In the context of the Digital Intelligence Era, management philosophy is facing unprecedented challenges and opportunities. The core characteristics of this era are the ubiquity of data and the deep penetration of digital technology, which have fundamentally changed human lifestyles, work methods, and modes of thinking. Thus, traditional management philosophies and methods appear inadequate when confronted with the features of the Digital Intelligence Era, urgently necessitating fundamental updates and upgrades. This summary aims to explore management philosophy in the context of the Digital Intelligence Era, with a special focus on how data and intelligent technology are reshaping the basic concepts and practices of management. With the rapid development of information technology, we not only live in a world driven by data but also need to adapt to the profound impact of digital technology on global economic activities. In this transformation, the renewal of management philosophy has become key to enhancing decision-making intelligence and efficiency, in order to respond to the rapidly changing market and technological environment. This article first analyzes the impact of data centralization and the widespread application of intelligent technology on business development, noting that the Digital Intelligence Era has provided businesses with unprecedented opportunities while also presenting complex challenges. Data has evolved from a simple decision-support tool to a core resource in the decision-making process. Furthermore, this article discusses how management philosophy can adapt to these changes in the Digital Intelligence Era, emphasizing the importance of data-driven decision-making and analyzing how businesses can use data and intelligent technology to tackle uncertainty, enhance flexibility, and adaptability. Additionally, the article explores the application of open innovation and sustainable management concepts in the Digital Intelligence Era and their assistance in fostering long-term business development. In summary, the Digital Intelligence Era signifies not just a technological revolution but also a profound transformation in management philosophy and corporate strategic thinking. This article aims to provide readers with insights and recommendations for effectively managing and leading businesses in this new era.

Keywords

Digital Intelligence Era, Management Philosophy, Technological Revolution, Business

Cite This Paper

Yang Gao, Wanli Ma. Management Philosophy in the Digital Intelligence Era. Academic Journal of Business & Management (2024) Vol. 6, Issue 4: 72-77. https://doi.org/10.25236/AJBM.2024.060412.

References

[1] Provost, F., & Fawcett, T. (2013). Data science and its relationship to big data and data-driven decision making. Big data, 1(1), 51-59.

[2] Abonamah, A. A., Tariq, M. U., & Shilbayeh, S. (2021). On the commoditization of artificial intelligence. Frontiers in psychology, 12, 696346.

[3] Lv, X., & Li, M. (2021). Application and research of the intelligent management system based on internet of things technology in the era of big data. Mobile Information Systems, 2021, 1-6.

[4] Gladden, M., Fortuna, P., & Modliński, A. (2022). The empowerment of artificial intelligence in post-digital organizations: exploring human interactions with supervisory AI. Human Technology, 18(2), 98-121.

[5] Brynjolfsson, E., & McElheran, K. (2016). The rapid adoption of data-driven decision-making. American Economic Review, 106(5), 133-139.

[6] Ikemoto, G. S., & Marsh, J. A. (2007). Cutting through the “data-driven” mantra: Different conceptions of data-driven decision making. Teachers College Record, 109(13), 105-131.

[7] Houari, N., & Far, B. H. (2004). Application of intelligent agent technology for knowledge management integration. In Proceedings of the Third IEEE International Conference on Cognitive Informatics, 2004. (pp. 240-249). IEEE.

[8] Hanelt, A., Bohnsack, R., Marz, D., & Antunes Marante, C. (2021). A systematic review of the literature on digital transformation: Insights and implications for strategy and organizational change. Journal of management studies, 58(5), 1159-1197.

[9] Yeke, S. (2023). Digital intelligence as a partner of emotional intelligence in business administration. Asia Pacific Management Review, 28(4), 390-400.

[10] Weber, E., Büttgen, M., & Bartsch, S. (2022). How to take employees on the digital transformation journey: An experimental study on complementary leadership behaviors in managing organizational change. Journal of Business Research, 143, 225-238.

[11] Konopik, J., Jahn, C., Schuster, T., Hoßbach, N., & Pflaum, A. (2022). Mastering the digital transformation through organizational capabilities: A conceptual framework. Digital Business, 2(2), 100019.

[12] Gozhyj, A., Vysotska, V., Yevseyeva, I., Kalinina, I., & Gozhyj, V. (2019). Web resources management method based on intelligent technologies. In Advances in Intelligent Systems and Computing III: Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2018, September 11-14, Lviv, Ukraine (pp. 206-221). Springer International Publishing.

[13] Dos Santos, A., Powell, J. A., & Sarshar, M. (2002). Evolution of management theory: the case of production management in construction. Management Decision, 40(8), 788-796.

[14] Zlotin, B., & Zusman, A. (2002). Directed evolution: philosophy, theory and practice. Ideation International.

[15] Li, R., Zhao, Z., Zhou, X., Ding, G., Chen, Y., Wang, Z., & Zhang, H. (2017). Intelligent 5G: When cellular networks meet artificial intelligence. IEEE Wireless communications, 24(5), 175-183.

[16] Bodrožić, Z., & Adler, P. S. (2018). The evolution of management models: A neo-Schumpeterian theory. Administrative Science Quarterly, 63(1), 85-129.

[17] Wren, D. A., & Bedeian, A. G. (2023). The evolution of management thought. John Wiley & Sons.