Developing Purposeful AI Use Cases : A Structured Method and Its Application in Project Management

Titelangaben

Hofmann, Peter ; Jöhnk, Jan ; Protschky, Dominik ; Urbach, Nils:
Developing Purposeful AI Use Cases : A Structured Method and Its Application in Project Management.
In: Proceedings of the 15th International Conference on Wirtschaftsinformatik (WI). - Potsdam, Germany , 2020

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Abstract

An appropriate problem-solution-fit is essential to develop purposeful artificial intelligence (AI) applications. However, in domains with an unintuitive problem-solution-fit, such as project management (PM), organizations require methodological guidance. Hence, we propose a five-step method to develop organization-specific AI use cases: First, companies must consider the context factors technology, organization (in particular data and application domain), and environment. Second, companies must identify existing domain problems and AI solutions. Third, our method facilitates abstraction to understand the underlying nature of the identified problems and AI solutions. Fourth, our problem-solutionmatrix assists companies to match AI functions with the domain context. Fifth, companies derive necessary implications for the subsequent use case implementation. To construct and evaluate our method, we followed the design science research paradigm complemented by situational method engineering and based on 14 interviews. Our method addresses a relevant practical problem and contributes to identifying purposeful AI use cases in unintuitive application domains.