A systems thinking approach to reimagining innovation models
The example of clean hydrogen
Bibliographic Data
| ID | 7169254 |
|---|---|
| Authors | Sue Mcavoy (0000-0001-6886-7039, Centre for the Business and Economics of Health (CBEH), Faculty of Business, Economics and Law The University of Queensland Brisbane Queensland Australia, corresponding author), Cristyn Meath (0000-0003-0547-9164, Australian Institute for Business and Economics The University of Queensland Brisbane Queensland Australia), Agnes Toth‐Peter (0000-0002-3536-0642, Australian Institute for Business and Economics The University of Queensland Brisbane Queensland Australia), Ninad Jagdish (School of Civil Engineering The University of Queensland Brisbane Queensland Australia), Jurij Karlovsek (0000-0001-9377-1645, BTN Pty Ltd Singapore Singapore) |
| Year | 2025 |
| Volume | 42 |
| Issue | 3 |
| Pages | 786-802 |
| Publication date | 2025-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Systems Research and Behavioral Science (JOURNAL) |
| Journal identifiers | ISSN: 1092-7026 • E-ISSN: 1099-1743 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/sres.3016 |
| OpenAlex | W4398138113 |
| Language | EN |
| References cited | 45 |
As global temperatures, ocean heat and greenhouse gases reach record levels, transitioning to renewable energy systems offers hope for climate stabilisation. Globally, renewable capacity rose by 50% from 2022 to 2023. Clean hydrogen is attracting strong investment, yet its development is challenging as it requires supply chain‐wide innovation. Sustainably transitioning to hydrogen will require thinking and acting systemically, as opposed to current business‐as‐usual innovation. Whilst hinting at non‐linear relations and feedback loops, prevailing representations of innovation theories remain largely devoid of the feedback structures evident in transitioning socio‐technical systems. In this paper, generational innovation theories are recast as causal loop diagrams (CLDs), and the Success to the Successful archetype is modified to reflect the multi‐level perspective on transition theory. The outcome is twofold: to promote thinking systemically when innovating and diagnosing issues, and to show how CLDs can help elucidate the factors and interactions influencing hydrogen's trajectory
Sociology · Systems thinking · Complex Systems and Decision Making · Computer Science · Green IT and Sustainability · Sustainability and Climate Change Governance · Artificial Intelligence
The Socio-Technical Dynamics of Low-Carbon Transitions
The coming sustainable energy transition
A system failure framework for innovation policy design
On the nature, function and composition of technological systems
The rise of systemic instruments in innovation policy
Conditions for politically accelerated transitions
The application of systems thinking in health
Systemic instruments for systemic innovation problems
Mapping and navigating transitions—The multi-level perspective compared with arenas of development
Functions of innovation systems
The multi-level perspective on sustainability transitions
A systems perspective on systemic innovation
Exploring the knowledge base of innovation research
Micro-foundations of the multi-level perspective on socio-technical transitions
A hybrid perspective on energy transition pathways
In search of a consensus definition of innovation
A socio-technical analysis of low-carbon transitions
The theory of economic development – An inquiry into profits, capital, credit, interest, and the business cycle
| Highly cited | No |
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