Abstract
PurposeThe aim of this paper is to frame the stakeholder-driven system mapping approach in the context of climate change, building on stakeholder knowledge of system boundaries, key elements and interactions within a system and to introduce a decision support tool for managing and visualising this knowledge into insightful system maps with policy implications.Design/methodology/approachThis methodological framework is based on the concepts of market maps. The process of eliciting and visualising expert knowledge is facilitated by means of a reference implementation in MATLAB, which allows for designing technological innovation systems models in either a structured or a visual format.FindingsSystem mapping can contribute to evaluating systems for climate change by capturing knowledge of expert groups with regard to the dynamic interrelations between climate policy strategies and other system components, which may promote or hinder the desired transition to low carbon societies.Research limitations/implicationsThis study explores how system mapping addresses gaps in analytical tools and complements the systems of innovation framework. Knowledge elicitation, however, must be facilitated and build upon a structured framework such as technological innovation systems.Practical implicationsThis approach can provide policymakers with significant insight into the strengths and weaknesses of current policy frameworks based on tacit knowledge embedded in stakeholders.Social implicationsThe developed methodological framework aims to include societal groups in the climate policy-making process by acknowledging stakeholders’ role in developing transition pathways. The system map codifies stakeholder input in a structured and transparent manner.Originality/valueThis is the first study that clearly defines the system mapping approach in the frame of climate policy and introduces the first dedicated software option for researchers and decision makers to use for implementing this methodology.
Highlights
Transforming societies into low-carbon and climate-resilient systems is a complex and multi-dimensional problem domain, as it has impacts on people and institutions within the systems
To attempt to solve these problems and to understand from the structure of the system and bottom up interactions, the system mapping method described in Section 2.2 might help in defining the boundary of innovative systems for climate change and to codify key dynamic interactions in the PAGE 1016 JOURNAL OF KNOWLEDGE MANAGEMENT VOL. 21 NO. 5 2017 system, which could be used as a starting point for further analysis in evaluating or developing potential pathways for change
The proposed methodological framework for evaluating complex innovation systems for climate change is based on the system mapping approach and can be built on valuable stakeholder knowledge and expertise
Summary
Transforming societies into low-carbon and climate-resilient systems is a complex and multi-dimensional problem domain, as it has impacts on people and institutions within the systems. The aim of this paper, is to formally define the system mapping framework for exploring the dynamics in innovation systems in respect to climate change and mitigation and adaptation policy and introduce Mapping Tool for Innovation Systems Evaluation (MATISE[1]), a dedicated tool designed for the purpose of system mapping in a structured, coherent and transparent way. The tool enables the researcher to codify stakeholder input into a strictly structured format, which is transformed into a visual map with clearly distinguished system components, while featuring a number of layout optimisation algorithms for an enhanced visual outcome It allows for the reverse process to take place by importing system maps and PAGE 1014 JOURNAL OF KNOWLEDGE MANAGEMENT VOL.
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