Now showing 1 - 5 of 5
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Beyond Pay for Performance – Change enough or don’t change at all

2022-12-15 , Schnegg, Maël , Solbach, Jonas , Möller, Klaus

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Strategies for Data Analytics projects in Business Performance Forecasting: A Multiple Case Study

2021 , Schnegg, Maël , Möller, Klaus

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A Management Control oriented Governance Framework for Artificial Intelligence

2022-11-07 , Sentinella, Richard , Schnegg, Maël , Möller, Klaus

In an age of increasing access to and power of artificial intelligence (AI), ethical concerns, such as fairness, transparency, and human well-being have come to the attention of regulators, standard setting bodies, and organizations alike. In order to build AI-based systems that comply with new rules, organizations will have to adopt systems of governance. This study develops, based on existing frameworks and a multiple case study, a governance framework specifically designed with these challenges in mind: The St. Gallen Governance Framework for Artificial Intelligence focuses on identifying stakeholder concerns and strategic goals, building a management control system, assigning roles and responsibilities, and incorporating dynamism into the system of governance.

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Strategies for Data Analytics Projects in Business Performance Forecasting: a Multiple Case Study

2019 , Schnegg, Maël , Möller, Klaus , Stoll, Christopher

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The design and use of performance management systems in rapid growth ventures

2021 , Engelhardt, Philipp , Möller, Klaus , Schnegg, Maël