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International Conference on Knowledge Management in Organizations

KMO 2014: Knowledge Management in Organizations pp 333–336Cite as

How can Company Improve Financial Performance by Learning from Failure?

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 185))

Abstract

Challenging new business for seeking better performance is an essential matter for company to keep sustainable growth. The wisdom of learning from failure is incontrovertible. Yet organizations that do it well are extraordinarily rare. This paper reports a successful case study in Company S in Japan. They succeeded in establishing the way to learn from failure. Through their system, they have accumulated 41 failure case studies and lessons learned since 2005, and they could eventually earn six fold profits more than before. This case study generates several research topics (research questions) as for “How can company improve financial performance by learning failure?” However this paper shows just research questions. The validation of these research topics should be carefully examined beyond this paper.

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References

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Author information

Authors and Affiliations

  1. Research Institute of the Faculty of Commerce, Waseda University, Takada Bokusha Bldg. 4F, 1-101, Totstuka-machi, Shinjuku-ku, Tokyo, 169-0071, Japan

    Sanetake Nagayoshi

Authors
  1. Sanetake Nagayoshi
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Corresponding author

Correspondence to Sanetake Nagayoshi .

Editor information

Editors and Affiliations

  1. Staffordshire University, Staffordshire, United Kingdom

    Lorna Uden

  2. Universidad Santa Maria, Santiago, Chile

    Darcy Fuenzaliza Oshee

  3. National University of Kaohsiung, Kaohsiung City, Taiwan

    I-Hsien Ting

  4. Universidad Santa Maria, Santiago, Chile

    Dario Liberona

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© 2014 Springer International Publishing Switzerland

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Nagayoshi, S. (2014). How can Company Improve Financial Performance by Learning from Failure?. In: Uden, L., Fuenzaliza Oshee, D., Ting, IH., Liberona, D. (eds) Knowledge Management in Organizations. KMO 2014. Lecture Notes in Business Information Processing, vol 185. Springer, Cham. https://doi.org/10.1007/978-3-319-08618-7_32

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  • DOI: https://doi.org/10.1007/978-3-319-08618-7_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08617-0

  • Online ISBN: 978-3-319-08618-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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