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Building Green: The Adoption Process of LEED- and Energy Star-Rated Office Buildings.

机译:绿色建筑:采用LEED和能源之星级办公楼的过程。

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摘要

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.
机译:办公建筑中的绿色建筑技术有机会实现节能和成本效益,从而产生积极的经济和环境影响。为了使这些机会得以实现,决策者必须意识到绿色建筑技术的价值。本研究的目的是更好地理解导致办公建筑专业人员采用绿色建筑技术的动机。通过使用经过验证的理论,即技术的接受和使用统一理论(UTAUT),研究人员分析了四个预测变量对采用绿色建筑技术的行为意图的影响;适应的UTAUT模型称为绿色建筑技术模型。 (GBTM)与采用绿色建筑技术的意图在统计上具有显着相关性。结果为在绿色建筑技术应用中使用GBTM提供了一个模型。总体上对绿色产业,特别是绿色办公建筑运动产生了影响。行业和政府可以根据从本研究中对采用过程进行的了解得出发展干预措施。这些干预措施,例如教育或宣传运动,可以帮助增加绿色建筑技术的采用,进一步推进社会为保护自然环境和实现成本效益所做的努力。

著录项

  • 作者

    Malkani, Arvin P.;

  • 作者单位

    The George Washington University.;

  • 授予单位 The George Washington University.;
  • 学科 Information Technology.;Psychology Industrial.;Sustainability.;Energy.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 109 p.
  • 总页数 109
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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