Original title: Leading AI-Driven Digital Transformation: A Review of Leadership Attributes and Practices, with Implications for Singapore
AI can change how a company works, but leaders need to decide where to use it and how to oversee it. The authors review 73 peer-reviewed studies and group their findings into a framework for leading AI-driven change. It covers leadership attributes, strategic priorities, areas for exploring AI, and governance practices. The framework brings together existing ideas; the authors say it still needs testing in different industries.
Imagine a school deciding whether to try a new way of teaching while keeping lessons fair and safe. It is hard to encourage experiments and still make sure they serve students and follow clear rules. In this paper, the school leaders stand for enterprise leaders, the new teaching methods stand for AI uses, and the rules and priorities stand for the practices in the proposed framework.
Leaders in Singapore and elsewhere face pressure to show that AI investments produce real returns. This review organises evidence about the leadership, organisational priorities, and governance practices that may help enterprises pursue innovation while maintaining accountability and sustainability.
The review proposes a framework based on existing studies; the abstract does not report empirical tests of that framework. It calls for validation across different industry contexts, so it does not establish that the framework works equally well in every enterprise or country.
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Leading AI-Driven Digital Transformation: A Review of Leadership Attributes and Practices, with Implications for Singapore — Nanda Kumar Karippur — Administrative Sciences — doi:10.3390/admsci16100491
Abstract licence: CC BY
Explanation generated by Synthesis from the abstract — it is not the original paper.