2022
DOI: 10.1016/j.erss.2022.102815
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Towards participatory cross-impact balance analysis: Leveraging morphological analysis for data collection in energy transition scenario workshops

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Cited by 10 publications
(4 citation statements)
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“…The procedure calculates both direct and indirect influences. Then, internal consistency can be assessed to purify possible combinations and unfold plausible combinations as scenarios (Kurniawan et al , 2022), which is a critical precondition for plausibility of a combination (as a possible future) (Schmidt-Scheele, 2020). As a strength, CIB can investigate both qualitative and quantitative factors because it studies the interdependencies using experts’ judgments, so researchers are allowed to set up a multidimensional study (Kurniawan et al , 2022).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The procedure calculates both direct and indirect influences. Then, internal consistency can be assessed to purify possible combinations and unfold plausible combinations as scenarios (Kurniawan et al , 2022), which is a critical precondition for plausibility of a combination (as a possible future) (Schmidt-Scheele, 2020). As a strength, CIB can investigate both qualitative and quantitative factors because it studies the interdependencies using experts’ judgments, so researchers are allowed to set up a multidimensional study (Kurniawan et al , 2022).…”
Section: Resultsmentioning
confidence: 99%
“…Then, internal consistency can be assessed to purify possible combinations and unfold plausible combinations as scenarios (Kurniawan et al , 2022), which is a critical precondition for plausibility of a combination (as a possible future) (Schmidt-Scheele, 2020). As a strength, CIB can investigate both qualitative and quantitative factors because it studies the interdependencies using experts’ judgments, so researchers are allowed to set up a multidimensional study (Kurniawan et al , 2022). As Kurniawan et al (2022) and Schweizer (2020) mentioned, experts do not interact during the classic CIB process, whereas because scenarios (especially in complex systems such as energy-related ones) mentioned transdisciplinary research on complex social challenges (Moallemi et al , 2021; Lawrence et al , 2022), a participatory process is recommended.…”
Section: Resultsmentioning
confidence: 99%
“…Second, the validity of expert judgments (impact assessments) required by CIB studies is threatened by subjectivity and bias by nature [60,77,78]. However, we can be confident that the impact assessments in this policy-interaction model go well beyond individual experts' gut feelings, as our study design, confronting the views of local experts with those of external issue experts in small groups during online workshops, fostered the discursive validation of every impact assessment [79,80]. Therefore, it combined the advantage of expert interviews with the advantages of group discussions and supported inter-and transdisciplinary knowledge integration of local expertise and general issue expertise [81].…”
Section: Cib For Policy MIX Evaluation and Designmentioning
confidence: 94%
“…The research component is very important to be able to make these real changes it is linked to the generation of data (Kurniawan et al, 2022). In Bolivia, there are many environmental diagnoses carried out by universities, international cooperation, and public services.…”
Section: "Understanding" "Learning" and "Proposing" Axesmentioning
confidence: 99%