4.6 Article

A Framework for Assessing Commitment Indicators in Sustainable Development Decisions

Journal

SUSTAINABILITY
Volume 13, Issue 9, Pages -

Publisher

MDPI
DOI: 10.3390/su13095234

Keywords

sustainable development; commitment indicator; energy efficiency; waste management; carbon emissions; tracking tool; commitment

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Numerous decision support systems have been developed, but there is a lack of mechanisms to track commitment to decisions made by corporate leaders. This study establishes a comprehensive metric system to assess commitment to Sustainable Development decisions, and develops a tool to track commitment along project stages. Ultimately, this research aims to reduce project waste, energy use, and carbon emissions.
Numerous decision support systems have been developed to address the decision-making process in organizations. However, there are no developed mechanisms to track commitment down the line to the decisions made by corporate leaders. This paper is a portion of a study that establishes a framework for a comprehensive metric system to assess commitment to Sustainable Development (SD) decisions down the line in capital projects, and sets the groundwork for further development of performance indicators for SD outcomes. This ultimately leads to investigating the relationship between commitment to corporate decisions and better project performance in SD parameters. Hence, this study explores the literature to extract relevant parameters that reflect the degree of the project participants' commitment to SD decisions and to develop commitment indicators. The study created then validated an index to track this commitment along the project stages: the Sustainable Development Commitment Tracking Tool (SDCTT). The SDCTT was tested on an infrastructure project case study. In this paper, techniques relevant to the first stage of projects (planning and definition) are presented. The SDCTT is the groundwork for the future development of performance indicators for SD outcomes, and within the postulated model should ultimately contribute towards reducing project waste, energy use, and carbon emissions.

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