Evaluation Method for Autonomous Decision-Making Performance in Energy and Environmental Innovations: A Case Study of an Indonesian Community

Niken Prilandita, Benjamin McLellan and Tetsuo Tezuka
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Niken Prilandita: Graduate School of Energy Science, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto 606-8501, Japan
Benjamin McLellan: Graduate School of Energy Science, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto 606-8501, Japan
Tetsuo Tezuka: Graduate School of Energy Science, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto 606-8501, Japan

Sustainability, 2017, vol. 9, issue 1, 1-22

Abstract: This paper develops an evaluation method for assessing autonomous decision-making performance and demonstrates it using a case study. Focusing on community decision-making practice in energy-environmental innovation projects, a decision-making model is developed using Petri-net. This empirical model is then expanded to be able to accommodate autonomous properties and more pathways to reach various decision-making outcomes. The autonomous decision-making performance evaluation is employed by simulating the impact of various levels of autonomous conditions using the expanded model stochastically. Those results are further divided into six categories, based on the conditions (autonomous, semi-autonomous, and non-autonomous) and decision outcomes (fully successful, moderately successful, and failed). For each category, the specific stakeholders’ properties are analysed and explained. The categorised conditions are useful for estimating the outcomes of the particular community decision-making practice based on the stakeholders’ properties. The model can be modified in order to pre-evaluate other energy and environmental related decision-making.

Keywords: autonomous; decision-making; community; evaluation method; energy-environment (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
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