Mining Stakeholder Analysis using Discrete Choice Theory: A Case Study in Salt Lake City
This research sought to facilitate improved stakeholder (community) analysis using discrete choice theory (DCT). The work considered 16 project attributes and four demographic factors. The discrete choice experiment was conducted in Salt Lake City, Utah to illustrate the usefulness of DCT in mining stakeholder analysis. The data was used in discrete choice modeling of individual preferences. The approach answers three important questions for enhanced stakeholder analysis: (1) What are the factors that affect individual preferences? (2) What is the effect of demographics on individual preferences? (3) What is the value of environmental and social impacts to individuals in the community?
S. Que et al., "Mining Stakeholder Analysis using Discrete Choice Theory: A Case Study in Salt Lake City," Proceedings of the 2016 SME Annual Conference and Expo (2016, Phoenix, AZ), Society for Mining, Metallurgy and Exploration, Feb 2016.
2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World (2016: Feb. 21-24, Phoenix, AZ)
Mathematics and Statistics
Keywords and Phrases
Population statistics; Demographic factors; Discrete choice experiments; Discrete choice models; Discrete choice theories; Individual preference
International Standard Book Number (ISBN)
Article - Conference proceedings
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01 Feb 2016