Abstract

To address the challenges of knowledge sharing in new product development (NPD) processes, many companies implement knowledge management systems (KMSs). KMS projects are, however, often not successful, and the literature disagrees on which factors affect their success. To advance this knowledge, the present study investigates the conditions for KMS success in NPD processes through a series of interviews with NPD professionals. This process identifies 43 concepts, organized under 17 dimensions, influencing the success of repository KMSs. Through the identification of relationships between these dimensions, a conceptual model describing the conditions for KMS success is developed. The study hereby provides two main overall contributions. First, as compared to existing models, the present model provides a more detailed and complete account of the factors that influence KMS success. Second, the study identifies four main characteristics that set KMS projects apart from other enterprise information system projects.

Recommended Citation

Haug, A. (2022). The Conditions for Repository Knowledge Management System Success in New Product Development. In R. A. Buchmann, G. C. Silaghi, D. Bufnea, V. Niculescu, G. Czibula, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Information Systems Development: Artificial Intelligence for Information Systems Development and Operations (ISD2022 Proceedings). Cluj-Napoca, Romania: Risoprint. ISBN: 978-973-53-2917-4. https://doi.org/10.62036/ISD.2022.46

Paper Type

Full Paper

DOI

10.62036/ISD.2022.46

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The Conditions for Repository Knowledge Management System Success in New Product Development

To address the challenges of knowledge sharing in new product development (NPD) processes, many companies implement knowledge management systems (KMSs). KMS projects are, however, often not successful, and the literature disagrees on which factors affect their success. To advance this knowledge, the present study investigates the conditions for KMS success in NPD processes through a series of interviews with NPD professionals. This process identifies 43 concepts, organized under 17 dimensions, influencing the success of repository KMSs. Through the identification of relationships between these dimensions, a conceptual model describing the conditions for KMS success is developed. The study hereby provides two main overall contributions. First, as compared to existing models, the present model provides a more detailed and complete account of the factors that influence KMS success. Second, the study identifies four main characteristics that set KMS projects apart from other enterprise information system projects.