Integrating Personality Traits in AI-driven Business Leadership: The Role of Emotional Intelligence, Achievement Orientation, Analytical Thinking, and Structured Leadership Using the FIKR Personality Assessment Tool

Abstract

In the rapidly evolving landscape of AI-driven business environments, the integration of key personality traits—Emotional Intelligence, Achievement Orientation, Analytical Thinking, and Structured Leadership—into leadership practices is becoming increasingly crucial. This study explores the significance of these four traits in enhancing business leadership in the AI era. By analyzing data from 409 respondents using the FIKR personality assessment, the study identifies how these traits contribute to effective leadership, particularly in managing the human-AI interface, driving performance, making data-driven decisions, and ensuring the ethical implementation of AI technologies. The findings highlight that leaders who cultivate these traits are better equipped to navigate the complexities of modern business environments, ensuring that AI enhances rather than disrupts organizational success. The study concludes that the future of business leadership lies in harmonizing human traits with AI capabilities to drive innovation, ethical decision-making, and sustainable growth. In conclusion, integrating Emotional Intelligence, Achievement Orientation, Analytical Thinking, and Structured Leadership into leadership practices is crucial for navigating the challenges and opportunities presented by the AI era. These traits enable leaders to manage the human-AI interface effectively, drive innovation, make data-driven decisions, and implement AI technologies responsibly. As AI continues to reshape the business world, leaders who cultivate these traits will be better equipped to lead their organizations to success, ensuring that AI enhances rather than disrupts their operations. This finding will explore how these traits are interconnected and how they can be harnessed to achieve effective and ethical leadership in the AI-driven business landscape.

Received: 21 August 2024 | Revised: 28 October 2024 | Accepted: 30 October 2024

Conflicts of Interest 

The author declares that he has no conflicts of interest to this work.

Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

Author Contribution Statement

Chee Kong Yap: Conceptualization, Methodology, Validation, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration, Funding acquisition. Chee Seng Leow: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration, Funding acquisition. Wing Sum Vincent Leong: Software, Validation, Formal analysis, Resources, Data curation, Writing - original draft, Visualization, Funding acquisition.