AI-driven Business Themes

The AI-driven Business Area of Excellence is organised around the three sub-areas. They cover the building of shared theoretical and methodological expertise, data-driven innovation and systems while taking into account the firm-stakeholder AI perspectives:

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AI Strategy for competitive advantage

AI for Operations Optimization & Automation

Dr André NEMEH is the Principal Investigator of AI Strategy for competitive advantage. This sub-area studies how AI impacts businesses and their strategies and policies. AI is considered as a special resource offering magnified data processing capabilities that advance the acquisition, understanding, and processing of knowledge, as well as resource allocations in companies. This therefore helps shape the decision making and consequent performance of strategic actions. The rise of AI may fundamentally change how firms obtain and sustain their competitive advantages, not just for high-technology industries, but also for more traditional businesses. Researchers of this sub-area develop new theories supported by empirical evidence to explore this novel opportunity.

Dr Oncü Hazir is the Principal Investigator of AI for Operations Optimization & Automation subarea This involves investigating how AI and big data analytics can offer new opportunities to deal with challenges in operations and project management. A key challenge in the new era of AI, which researchers of this sub-area focus on, is the need to make rapid decisions which cope with the uncertainty and inherent complexity of a dynamic business environment. Computational intelligence approaches of AI and big data analytics tools help address this challenge by supporting decision making under uncertainty.

Dr. Sarah HUDSON is the Principal Investigator of Human & Ethical AI. This sub-area recognises that the development and exploitation of AI technologies in business raises anxiety and excitement surrounding its future implications for businesses, individual workers and societal fairness. For businesses, the developments in AI will clearly offer gains in productivity and reduction of human error by replacing certain non-routine and cognitive tasks currently requiring human intelligence. However, this development poses multiple social and environmental concerns relevant to business managers and policy makers. Researchers working for this sub-area investigate questions pertinent to these issues and business solutions to such problems.

Human & Ethical AI