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dc.contributor.advisorWelsch, Roy
dc.contributor.advisorGhoniem, Ahmed
dc.contributor.authorHopkins, Jacob
dc.date.accessioned2023-07-31T19:54:01Z
dc.date.available2023-07-31T19:54:01Z
dc.date.issued2023-06
dc.date.submitted2023-07-14T19:58:22.336Z
dc.identifier.urihttps://hdl.handle.net/1721.1/151625
dc.description.abstractBusinesses are rapidly pursuing investments in sustainable technologies to meet their climate goals, but performing actionable evaluations of technologies is difficult, especially in decentralized businesses. Actionable evaluations have high accuracy, high precision, and address uncertainty. Sustainable technologies are not well characterized and their expected performance is uncertain. For numerous reasons, approaches used in industry do not currently address these concerns. This research investigated tools to improve accuracy and precision and proposes a methodology to address uncertainty. The methodology includes a Monte-Carlo simulation tool and a method to assess data quality that address the concerns in traditional approaches. We believe this methodology can help decentralized businesses perform more actionable evaluations of sustainable technologies.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titlePerforming Actionable Evaluations of Sustainability Investments
dc.typeThesis
dc.description.degreeM.B.A.
dc.description.degreeS.M.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.contributor.departmentSloan School of Management
mit.thesis.degreeMaster
thesis.degree.nameMaster of Business Administration
thesis.degree.nameMaster of Science in Mechanical Engineering


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