Indicators for an expanded business operations model to evaluate eco-smart corporate communities

Dean, C.A., Fath, B.D. ORCID:, & Chen, B. (2014). Indicators for an expanded business operations model to evaluate eco-smart corporate communities. Ecological Indicators 47 137-148. 10.1016/j.ecolind.2014.07.010.

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Major real-estate developers of business parks around the world have made environmental responsibility a priority in building design, construction, and operation. We review the green real-estate development movement occurring globally, and synthesize applicable concepts into a framework called the expanded business operations model (EBOM) to help companies gauge their goal of environmental stewardship. In contrast to the typical flow diagram of a typical business operations model, the EBOM indicates cycling behavior that synergistically enhances each of the four identified categories - Environment, Facilities, Business Synergism, and Green Image. The ultimate goal of these Eco-smart Corporate Communities is to positively impact the local and larger community, while increasing the economic success of property developers and their tenants. We review governmental policies that drive developers toward environmentally friendly techniques, outline tools and programs that assist in the implementation and evaluation of green design plans, and summarize other drivers (i.e., environmental and social issues) that encourage green building and synthesize them into an indicator system for practitioners' reference. Using four independently operated eco-smart corporate communities as case studies, we identify the measures taken to enhance each of the four categories within the framework, and analyze the cascade of impacts. With this framework, it will be possible to set achievable goals that mark reasonable progress in corporate environmental policies.

Item Type: Article
Uncontrolled Keywords: Green building; Smart growth; Synergism; Industrial symbiosis; Eco-industrial park
Research Programs: Advanced Systems Analysis (ASA)
Bibliographic Reference: Ecological Indicators; 47:137-148 (December 2014) (Published online 5 August 2014)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:50
Last Modified: 27 Aug 2021 17:24

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