Systematic Creation of Cumulative Design Science Research Knowledge with a Case Study in the Field of Automatic Speech Recognition

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Abstract

This paper proposes a method for the systematic build-up of incremental Information Systems Design Science Research knowledge using tight linkage with a process model for digital innovation. This results in the enhanced presentation of a new design science approach to the engineering of digital innovation that systematically builds up information systems design theories. We evaluate this combined new method artifact in a case study for an innovative conversational interface of an interactive voice response system that was developed in a university-industry innovation lab, trained on a gender and age specific speech database and offering automatically tailored services for each identified user group. Our work targets the goal of providing the methodical basis that enables researchers to systematically build up and re-use, and transfer Design Science Research knowledge.

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Bub, U. (2019). Systematic Creation of Cumulative Design Science Research Knowledge with a Case Study in the Field of Automatic Speech Recognition. In Communications in Computer and Information Science (Vol. 1064, pp. 94–101). Springer Verlag. https://doi.org/10.1007/978-3-030-30278-8_12

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