AI Competencies for Business Leaders: Building Sustainable Transformation Skills
Sabina Ćerimagić,
Amela Perić and
Emira Kozarević
EconStor Conference Papers from ZBW - Leibniz Information Centre for Economics
Abstract:
Artificial intelligence (AI) is increasingly integrated into business operations, influencing decisions across finance services industry, supply chains, energy sector, and beyond. Despite significant investments, many organisations struggle to scale pilot projects, ensure consistent governance, and fully embed AI into core strategy. Simultaneously, heightened expectations around sustainability and environmental, social, and governance (ESG) performance demand that leaders use AI not only for efficiency but also for responsible, long-term impact. The primary objective of this research is to identify six essential competencies for executives leading AI-driven transformation: (1) AI and data literacy, (2) governance and risk management capability, (3) ethics and trust building, (4) sustainability-oriented systems thinking, (5) collaborative leadership, and (6) workforce enablement. These competencies are not merely abstract concepts. For example, finance leaders need the capacity to identify bias in lending models, supply chain executives must weigh predictive analytics against resilience, and/or energy leaders face trade-offs between efficiency and environmental responsibility. To support executives in building these capabilities, the authors propose a practical toolkit connecting each competency to governance processes such as risk registers, impact assessments, and ESG dashboards, offering actionable strategies rather than aspirational statements. The findings indicate that executives who build strength in these areas make sharper investment decisions, gain stakeholder trust, and deliver AI outcomes that align with sustainability commitments. This framework thus provides a practical pathway from small-scale experimentation to enterprise-wide responsible transformation.
Keywords: AI governance; digital transformation; executive competencies; ethical AI; sustainability strategy (search for similar items in EconPapers)
JEL-codes: M10 M14 M15 O32 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.econstor.eu/bitstream/10419/343412/1/ABS26-Corrected.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:zbw:esconf:343412
Access Statistics for this paper
More papers in EconStor Conference Papers from ZBW - Leibniz Information Centre for Economics Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().