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Embedding enterprise science into SSM for improving innovation systems in technology‐based companies
Author(s) -
Löffler Karin,
Tschirky Hugo,
Kijima Kyoichi J.
Publication year - 2009
Publication title -
systems research and behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 1092-7026
DOI - 10.1002/sres.962
Subject(s) - multinational corporation , context (archaeology) , knowledge management , embedding , portfolio , soft systems methodology , systems thinking , business , innovation management , engineering management , computer science , process management , engineering , information system , artificial intelligence , paleontology , management information systems , finance , electrical engineering , biology
The paper discusses how organizations can benefit from applying an enhanced Soft Systems Methodology (SSM) in innovation context. The combined approach is illustrated with an intervention in the innovation department of a multinational company. The aim of the company has been to increase its competitiveness by fostering innovation and questioning the innovation system of the company as well as the innovation project portfolio. Embedded in the SSM, the concept of Enterprise Science has been a useful vehicle to structure the problem situation and to channel the search for possible solutions. Innovation challenges could be pointed out, analysed and resolved in a systemic way. Lessons from practice are presented as well as recommendations for decision makers regarding the application of the approach and an outlook to further studies. Copyright © 2009 John Wiley & Sons, Ltd.