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Abstract
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.
Highlights
Conduct a capacity study of the project’s carbon emissions to describe project machines and equipment processes and their carbon emissions, allowing the planning team to ensure minimal project carbon capacity [39]. In each of those indicators there are sequential parameters that represent steps to be taken by the project participants to satisfy these indicators. This study considers these parameters as a reflection of the degree of project participants’ commitment toward carbon emission reduction triggers in the definition and planning phase
At the beginning of the first section, the Sustainable Development Commitment Tracking Tool (SDCTT) asks the project participant whether or not he or she is committed to the available Sustainable Development (SD) decision trigger
This study has shown that SD consists of several factors and involves different project participants who need to manage resources and maintain project participants’ commitment to achieve the desired outcomes
Summary
Scholars have developed different decision support systems to select a decision at the beginning of the decision-making process [1,2,3,4] These systems use different factors to facilitate the decision-making process and employ diverse statistical techniques such as Cost-Benefit Analysis (CBA), the Analytical Hierarchy Process (AHP), and Tacit-Based. The lack of commitment by project participants negatively affects the project via increased budgets, disrupted schedules and unsatisfied project targets through failed outcomes [5]. It follows that SD targets require the same level of commitment by project participants in order to achieve the required outcomes
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