52
Views
4
CrossRef citations to date
0
Altmetric
Articles

Exploring the dynamic nature of the evolution of Building Environmental Assessment Methods (BEAMs): a call for a diachronic analysis of BEAMs

&
Pages 104-114 | Received 11 Jul 2016, Accepted 06 Dec 2016, Published online: 08 Jan 2017
 

ABSTRACT

The dynamic interactions between stakeholders from diverse backgrounds with interest in green building have led to the emergence of various collective groups of actors promoting different Building Environmental Assessment Methods (BEAMs). The corollary is the emergence of a wide array of competing, conflicting, and sometimes, complimentary BEAMs. Yet, relatively little attention has been paid to how these BEAMs have been developed – how the contentious relationship between actors over the meaning of ‘green building’ have influenced the content and development of BEAMs, and why stakeholders have coalesced into different groups promoting different BEAMs. Drawing on the theory of Strategic Action Fields we show how actors have jostled for position and engaged with each other to advance their interests and supported BEAMs that resonate with their core ideologies. We explain how the plurality of espoused definitions of green building, and actors’ strategies to promote and support a conceptualization of green building that serve their interests, have culminated in the presence of multiple BEAMs and a struggle for market dominance. We question what this contentious relationship means for the future of green building and the development of BEAMs. The paper sets an agenda for the need to explore the historical context from which BEAMs have emerged.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Research Grants Council of the Hong Kong Special Administrative Region, China [GRF: Project No. HKU 17250116].

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.