ERIC Number: ED546273
Record Type: Non-Journal
Publication Date: 2012
Pages: 110
Abstractor: As Provided
ISBN: 978-1-2676-1521-3
ISSN: N/A
EISSN: N/A
Building Green: The Adoption Process of LEED- and Energy Star-Rated Office Buildings
Malkani, Arvin P.
ProQuest LLC, Ph.D. Dissertation, The George Washington University
There are opportunities for green building technology in office buildings to produce energy savings and cost efficiencies that can produce a positive economic and environmental impact. In order for these opportunities to be realized, however, decision makers must appreciate the value of green building technology. The objective of this research is to better understand the motivations that lead office building professionals to adopt green building technology. By utilizing a validated theory named the Unified Theory of Acceptance and Use of Technology (UTAUT), the investigator analyzes the impact of four predictor variables on the behavioral intention to adopt green building technology. The adapted UTAUT model, called the Green Building Technology Model (GBTM), was found to have a statistically significant correlation with the intention to adopt green building technology. The results provide a model for using the GBTM in green building technology applications. Implications are drawn for the green industry on the whole and for the green office building movement in particular. Industry and government can develop interventions based on the insights learned from this study about the adoption process. These interventions, such as education or awareness campaigns, can help increase the adoption of green building technology, further advancing society's efforts to conserve the natural environment and achieve cost efficiencies. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]
Descriptors: Building Design, Energy Conservation, Offices (Facilities), Technology, Predictor Variables, Statistical Significance, Correlation, Cost Effectiveness
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A