Task partitioning in new product development teams: A knowledge and learning perspective

Stephen Chen*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    40 Citations (Scopus)

    Abstract

    R&D alliances and outsourcing elements of the new product development process are now commonplace practices among many firms. However, little previous work has examined how these organizational choices influence project knowledge and learning. Based on a comparison of three new product development projects in the software industry, this paper examines how task partitioning in the project influences learning and knowledge development within the firm. The paper suggests that internal development projects encourage synthetic learning and development of architectural and tacit knowledge; in contrast, outsourcing and joint ventures encourage analytic learning and development of component and explicit knowledge.

    Original languageEnglish
    Pages (from-to)291-314
    Number of pages24
    JournalJournal of Engineering and Technology Management - JET-M
    Volume22
    Issue number4
    DOIs
    Publication statusPublished - Dec 2005

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