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A Systemic View of Innovation Adoption in the Australian Beef Industry
Author(s) -
Sun Daowei,
Hyland Paul,
Bosch Ockie
Publication year - 2014
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.2251
Subject(s) - causal loop diagram , innovation process , process (computing) , systems thinking , key (lock) , system dynamics , business , innovation system , knowledge management , industrial organization , innovation management , marketing , process management , computer science , work in process , computer security , artificial intelligence , operating system
Significant investments in developing technological innovations have been made in the Australian beef industry but with low adoption rates. By modelling the key variables and their interactions in the innovation adoption process, this research seeks to demonstrate the complexity and dynamics of the process. This research uses causal loop modelling and develops a holistic model of the current innovation adoption system in the Australian beef industry to show the complexity of dynamic interactions among multiple variables. It is suggested that innovation adoption is such an extremely complex issue, and we need to shift our views on this issue from a paradigm of linear thinking to systems thinking. Innovation adoption is more likely to be enhanced based on a full understanding of the complexity and dynamics of the system as a whole. The paper demonstrates to practitioners and developers of innovation the multiple variables and interactions impacting innovation adoption. Copyright © 2014 John Wiley & Sons, Ltd.