Abstract
This chapter provides an overview of theorizing on technology change and socio-technical transition. The first contribution of the chapter is to clarify how distinct theoretical framework should be understood in the context of other related theorizing. The second contribution is to clarify the sources of theoretical tensions, and to resolve ambiguities in terms. This is important because tensions and ambiguities hinder the accumulation of an inter-subjective theoretical ground. We observe that sustainability transition research increasingly relies on process theorizing. It stresses the role of feedback mechanisms and systemic barriers as a new rationale for concerted strategy and policymaking. On the other hand, it does not answer the questions of which and how causal structures influence system behavior, e.g., in terms of reaching emission reduction targets in time and/or dynamical competitiveness. We have identified two reasons for this tension. First, sustainability transition research traditionally employs descriptive theorizing. Behavioral consequences remain obscure due to lacking causal propositions. Second, there exists a variety of categorization schemes that use ambiguous technical terms for describing linkages, processes, and performance characteristics. Consequently, we propose a standardization of system technical terms based on system dynamics methodology. This is important to facilitate a shared understanding on the factors and processes of (un-)desired transition trends. Further, we propose to apply system dynamics mapping tools to conceptualize socio-technical systems as a causal feedback system. This mapping approach provides the structural elements of critical behavior phenomena, like inertia, lock-in, and path creation, in socio-technical systems. We assume that this is particularly supportive for governance-based steering, because causal beliefs about effective governance structures are a necessary condition for the acceptance of concerted action programs in heterogeneous actor groups.
As for the future, your task is not to foresee, but to enable it.
Antoine de Saint Exupery
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Notes
- 1.
Path dependence refers to self-reinforcing processes that accelerate the development direction within a system. Lock-in refers to a historically evolved system state that can only be changed with great effort.
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Ulli-Beer, S. (2013). Conceptual Grounds of Socio-Technical Transitions and Governance. In: Ulli-Beer, S. (eds) Dynamic Governance of Energy Technology Change. Sustainability and Innovation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39753-0_2
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