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Translating AI ethics principles into practice to support robotic process automation implementation
(2024)
When organizations leverage artificial intelligence (AI) to automate processes previously performed by people, it frequently causes uncertainty and fear among those affected. An often suggested way for organizations to navigate such challenges is to seek guidance from AI ethics principles. Leaders, however, find it difficult to make practical use of these abstract, high-level principles. Based on a case study of the large-scale implementation of robotic process automation at an energy service provider in Germany, we provide recommendations for translating AI ethics principles into practice.
This paper focuses on challenges regarding managerial behaviour and productivity in the context of digitalisation. It is neither understood precisely how managerial behaviours transcribe digital strategy into economic success nor how opportunities from digital innovations are transferred into productivity. A systematic literature review (SLR) is applied to acquire an organised overview of the research question “How does managerial behaviour concerning digital innovations change productivity?” The outcomes of this paper are threefold: (1) The research question will be answered by showing several aspects managers can make use of to influence productivity. In this regard knowledge, change management and data-driven behaviours, the creation of collaborative settings, and (customer) co-creative aspects are of particular importance. (2) Executives will be motivated to reflect and calibrate their own practices. (3) The Gutenberg rooted framework of production factors is used to discuss the results and six suggestions are made to transform the model to digital readiness.