Strategic Management in Family Businesses: Evaluating Tradition and AI-Driven Innovation
Family businesses, which constitute a significant portion of the global economy, face the challenge of balancing tradition with innovation, especially harmonizing in the context of rapidly advancing technologies like artificial intelligence., to sustain growth and competitiveness. This paper addresses the problem of how family businesses can integrate their deep-rooted values with the necessity for modern strategic practices. The objective of this study is to explore effective strategies for harmonizing tradition and AI based innovation in family businesses, providing a comprehensive understanding of the theoretical and practical aspects of strategic management within this unique context. The paper contributes to the literature by offering insights into the distinctive characteristics of family businesses and how this influence strategic decision-making, especially in adopting AI technologies. It examines key strategic management theories applicable to family enterprises and highlights the role of innovation in driving business growth while maintaining traditional values. Through detailed case studies of successful family businesses such as Gucci, LEGO, and Samsung, the paper illustrates how these companies have managed to enhance their performance by integrating tradition with both innovation and AI driven technologies. The result values indicate significant improvements in various performance metrics. For instance, Gucci's brand value growth increased from a 50% to a 150% increase, while LEGO's product innovation rate doubled, and Samsung's R&D expenditure surged, leading to a higher market leadership position. These enhancements underscore the effectiveness of balancing tradition with innovation in achieving substantial growth and long-term sustainability.
Authors
- Ahmed Dheyaa Radhi (ORCID: https://orcid.org/0000-0001-7194-8972)
- Rasha Almajed
- Mayasa M. Abdulrahman (ORCID: https://orcid.org/0000-0003-1002-6485)
- Ahmed Abdel Qader Ismail Alnajem
- A. Suleiman (ORCID: https://orcid.org/0000-0002-8801-1876)
- Abdulrazak A. Abdulrazak Al-Kubaisi
Institutions
- Abu Dhabi University (AE)
- University of Baghdad (IQ)
- Baghdad College of Economic Sciences University (IQ)
- University of Kerbala (IQ)
Publication Details
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1109/dasa63652.2024.10836382
- Citations
- 2
- Primary Topic
- Family Business Performance and Succession
- Type
- article
- Field-Weighted Citation Impact
- 1.35