A pattern language for knowledge handover when people transition

Kei Ito, Joseph W. Yoder, Hironori Washizaki*, Yoshiaki Fukazawa

*この研究の対応する著者

    研究成果: Chapter

    抄録

    Handover of knowledge and responsibilities can cause problems when people transfer to other parts of a company or retire. Handover issues became apparent in Japan when many people from the Baby Boomer Generation retired simultaneously in 2007. In particular, this was a resounding issue in the software industry. Most business people are familiar with the concept of a handover. Although effective handovers are crucial for seamless business operations during personnel changes, the preferable elements for a handover are ambiguous. In this paper, we outline a “Pattern Language for Knowledge Handover when People Transition”. The pattern language consists of handover patterns. Actual handover patterns were pattern mined from our experience as well as from industrial interviews. We originally started with handover anti-patterns which identify actual problems for a handover. This led us to pattern mine the handover patterns that provide strategies to mitigate these problems. The examples are from software industry, but these patterns are applicable to other domains.

    本文言語English
    ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    出版社Springer-Verlag
    ページ183-209
    ページ数27
    DOI
    出版ステータスPublished - 2019 1 1

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    10600 LNCS
    ISSN(印刷版)0302-9743
    ISSN(電子版)1611-3349

    ASJC Scopus subject areas

    • 理論的コンピュータサイエンス
    • コンピュータ サイエンス(全般)

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