Exploratory and Exploitative Adaptation in Turbulent and Complex Landscapes

DOIhttp://doi.org/10.1111/emre.12140
Date01 December 2018
Published date01 December 2018
AuthorJuha Uotila
Exploratory and Exploitative Adaptation in
Turbulent and Complex Landscapes
JUHA UOTILA
Warwick Business School, The University of Warwick, Coventry, United Kingdom
Using a simulation of organizational adaptationin turbulent and complex landscapes, I examine how the optimal
balance between exploration and exploitation is influenced by the organizations task environment. I find that,
contrary to conventional wisdom, increasing exploration relative to exploitation is not always the optimal response
to increased environmental turbulence orcomplexity. Turbulence is found to have a curvilinear effect on the optimal
share of exploratory versus exploitativeadaptation, with the relativeimportance of exploitation greatest at moderate
degrees of turbulence. While environmental complexity is found to have a generally positive effect on the optimal
share ofexploration, the effects of complexity and turbulence arefound to interact and, jointly, to increase the relative
importance of exploitative adaptation over exploratory adaptation. These findings suggest that the proper
explorationexploitation balance depends, in complex ways, on the pressures for global versus local adaptability
posed by the interaction of turbulence and complexity.
Keywords: exploration and exploitation; NK model; organizational learning; turbulence; complexity
Introduction
Exploration and exploitation are generally considered the
two key modes of organizational adaptation (March,
1991; Raisch et al., 2009; OReilly and Tushman,
2013). However, despite the relative conceptual
consensus in recent literature that both exploration and
exploitation should be seen as forms of search and
adaptation, albeit of different types (Gupta et al., 2006;
Lavie et al., 2010), the literature has frequently equated
the tension between e xploration and exploitation wit h
the tension between adaptability and efficiency (e.g.,
Benner and Tushman, 2003; Adler et al., Winter, 2009;
Posen and Levinthal, 2012). The emphasis of research
on organizational ambidexterity has typically been on
ensuring sufficient exploration in dynamic environments
(e.g., Levinthal and March, 1993; Benner and Tushman,
2003; Siggelkow and Levinthal, 2003; Siggelkow and
Rivkin, 2006; Walrave et al., 2011), and the conditions
in which organizations need to conduct exploitative
adaptation have received relatively little attention.
In this study, I investigate the relative merits of
exploratory and exploitative adaptation in different types
of dynamic task environments. I utilize a widely used
simulation model of adaptive search in the complexity
literature the NK landscapes framework (Kauffman,
1993; Levinthal , 1997) and extend this model by
modeling the explorationexploitation balance as a
resource allocation decision between the two processes
of distant and local search. I examine two key
environmentalcharacteristics, complexity andturbulence,
and look at how the optimal balance between exploratory
and exploitative adaptation is influenced by the
complexity and turbulence of the organizationstask
environment.
While the simulation results offer some support for the
widely held view that exploration becomes relatively
more important than exploitation when environmental
turbulence and complexity increase (see e.g., March,
1991; Levinthal, 1997; Sidhu et al., 2004; Rivkin and
Siggelkow, 2007; Fang et al., 2010; Lavie et al., 2010),
the results also point out two situations in which this
conventional wisdom does not hold. First, with low to
moderate levels of turbulence, increasing turbulence
increases the need for exploitative adaptation faster than
the need for exploratory adaptation, and only high levels
of turbulence are found to necessitate exploration over
exploitation. Second, the effects of turbulence and
complexity are found to interact and jointly increase the
importance of exploitation over exploration in
environments with high degrees of both turbulence and
complexity.
Correspondence: Juha Uotila,Warwick BusinessSchool, The Universityof
Warwick, Coventry CV4 7AL, United Kingdom, Tel: +44 75115 08022.
E-mail: juha.uotila@wbs.ac.uk
European Management Review, Vol. 15, 505519, (2018)
DOI: 10.1111/emre.12140
©2017 European Academy of Management

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