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Contribution Details

Type Working Paper
Scope Discipline-based scholarship
Title Learning through inaccurate replication
Organization Unit
Authors
  • Helmut Max Dietl
  • Markus Lang
  • Eric Lucas
  • Dirk Martignoni
Language
  • English
Institution Department of Business Administration
Series Name UZH Business Working Paper Series
Number 312
ISSN 2296-0422
Number of Pages 39
Date 2012
Abstract Text Replicating a successful “template” or best practice across time (“temporal replication”) or across a number of different economic settings (“spatial replication”) is an important strategy for organizational growth and performance improvement. In this paper, we use an NK landscape model to examine how organizations may innovate and adapt to their environment through “inaccurate replication”. We identify conditions under which inaccurate replication can result in higher long-run performance than accurate replication. We also uncover the specific mechanisms through which replication errors may affect organizational performance. In that, our study also sheds a new light on how organizations may learn from (replication) errors.
Other Identification Number merlin-id:8053
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