TY - JOUR
T1 - Towards a modular and temporal understanding of system diffusion
T2 - Adoption models and socio-technical theories applied to Austrian biomass district-heating (1979-2013)
AU - Geels, Frank
PY - 2018/4
Y1 - 2018/4
N2 - The diffusion of socio-technical systems is more complex than that of discrete products and cannot be understood solely with adoption models that have come to dominate the diffusion literature. The paper makes two contributions. First, it aims to broaden the conceptual repertoire by distinguishing two analytical families: adoption models and socio-technical theories of diffusion. We distinguish four adoption models (epidemic, rational choice, socio-psychological, increasing-returns-to-adoption) and three socio-technical models (system building, circulation/replication, societal embedding), and discuss their phenomenological characteristics and causal mechanisms. Second, the paper shows that system diffusion is a multi-dimensional process that is best understood with a modular approach that combines insights from different conceptual models. To demonstrate this second contribution and explore the temporal salience of different models, we apply them to the diffusion of Austrian biomass district heating (BMDH) systems (1979-2013). The paper ends with integrative suggestions by temporally positioning different diffusion models in a broader framework.
AB - The diffusion of socio-technical systems is more complex than that of discrete products and cannot be understood solely with adoption models that have come to dominate the diffusion literature. The paper makes two contributions. First, it aims to broaden the conceptual repertoire by distinguishing two analytical families: adoption models and socio-technical theories of diffusion. We distinguish four adoption models (epidemic, rational choice, socio-psychological, increasing-returns-to-adoption) and three socio-technical models (system building, circulation/replication, societal embedding), and discuss their phenomenological characteristics and causal mechanisms. Second, the paper shows that system diffusion is a multi-dimensional process that is best understood with a modular approach that combines insights from different conceptual models. To demonstrate this second contribution and explore the temporal salience of different models, we apply them to the diffusion of Austrian biomass district heating (BMDH) systems (1979-2013). The paper ends with integrative suggestions by temporally positioning different diffusion models in a broader framework.
U2 - 10.1016/j.erss.2018.02.010
DO - 10.1016/j.erss.2018.02.010
M3 - Article
SN - 2214-6296
VL - 38
SP - 138
EP - 153
JO - Energy Research & Social Science
JF - Energy Research & Social Science
ER -
