A practical tool for analyzing socio-technical transitions
Bibliographic Data
| ID | 6057798 |
|---|---|
| Authors | Frank J Van Rijnsoever (0000-0003-4037-2792), Jip Leendertse (0000-0002-4873-8173) |
| Year | 2020 |
| Volume | 37 |
| Pages | 225-237 |
| Publication date | 2020-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Innovation and Societal Transitions (JOURNAL) |
| Journal identifiers | ISSN: 2210-4224 • E-ISSN: 2210-4232 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.eist.2020.08.004 |
| OpenAlex | W3088438996 |
| Language | EN |
| Citations received | 15 |
| References cited | 30 |
Understanding socio-technical transitions, let alone managing them, is complicated. This is especially the case for many practitioners, who are commonly not well-versed in the language of transition studies but deal with transition problems on a daily basis. To make the academic knowledge on socio-technical transitions available to practitioners, we introduce the transition model canvas (TMC) as a tool for systematically mapping the key elements, and their interactions, of socio-technical transitions. Based on the business model canvas (BMC) from entrepreneurship and the multi-level perspective (MLP) from transition studies, the TMC is an accessible tool that allows transition practitioners, students, and educators to evaluate and accelerate socio-technical transitions. The proposed canvas also helps further diffuse transition thinking into society and improve the quality of socio-technical policymaking and strategy development
Data science · Epistemology · Key (lock · Knowledge management · Management science · Perspective (graphical · Quality (philosophy · Sociology · Sociotechnical system · Transition (genetics · Chemistry · Computer Science · Engineering · Innovation and Knowledge Management · Innovation Diffusion and Forecasting · Innovation Policy and RD · Artificial Intelligence
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| Unique citing works | 15 |
|---|---|
| Citations per year | 3,75 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 14 |