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The formal application of project risk management (PRM) in green building projects is still an emergent part of project management. The purpose of this paper is to provide a conceptual PRM framework that increases the probability of success in green building projects by minimizing unexpected events.

This paper interprets the related literature and uses the opinion of green building experts. It exposes some pertinent elements needed for structuring the PRM framework and suggests some mitigation actions for high-ranked risks. It also performs ex-post analysis on a case study to practically validate the proposed framework.

It is found that high initial cost, lack of experienced contractors and subcontractors, consideration of lifecycle inflation and experience in green building project management are the most significant risks. To address them, the framework proposes a rigorous selection of contractors, provision of financial incentives from the government, setting of a time buffer to accommodate legal process and development of a deliberate proactive financial model.

This paper contributes to the body of knowledge and practice by providing a reasonable strategy for employing the PRM framework capable of effectively managing risk in green building projects to keep organizations competitive within the business environment. The overall aim of this study is to contribute to the further development of the area of risk assessment and risk management from a knowledge-based perspective.

The purpose of this research is to quantify the effect of stakeholder conflicts on project constraints in the construction industry using ordinal regression analysis. For this purpose, the most significant project constraints and factors that cause stakeholder conflicts found in the literature are measured.

Factors causing stakeholder conflicts and project constraints are extracted through a content analysis of the published literature. Further, a questionnaire survey is conducted involving 170 professionals to assess the effect of conflicts on project constraints. Finally, to obtain a more objective assessment, a statistical model is developed, and to highlight the most severe factors causing conflict and impacting project constraints, ordinal regression analysis is performed.

The results show that in the construction industry, all project constraints are affected by stakeholder conflicts. Factors that result in stakeholder conflicts indicated a positive relationship with cost, time and resources. This means that any increase or decrease in the effect of stakeholder conflicts will directly influence these three project constraints. Similarly, a negative relationship was observed between stakeholder conflicts and quality, workforce productivity, protection of environment and safety regulations in the construction industry, indicating that increase in the effect of stakeholder conflicts will decrease these four project constraints and vice versa. The results for cumulative ordinal regression model highlight that lack of communication, poor quality of completed works and change orders and rework have intense effects on project constraints collectively.

A small number of studies have been undertaken to examine the emergence of project constraints in the developing countries. And even more, its relationship with stakeholder conflicts in the construction industry is limited. This research highlights the most significant project constraints and factors that result in stakeholder conflicts in the construction industry. Therefore, this study adds to the existing body of knowledge by developing an ordinal regression model that will help decision-makers and top management control this enigma of stakeholder conflicts in the construction industry.

This paper aims at collecting and reviewing the published literature on the Six Sigma in construction along with its critical success factors (CSFs).

The research is based on literature review. Based on the keyword and semantic search techniques, papers published on the topic of Six Sigma during 2000-2015 are retrieved. Frequency analysis is performed to find out significance of identified CSFs, and zoning is performed based on the product of frequency of appearance and parties affected by the CSFs.

A total of 69 CSFs are identified as published in the literature. Based on an inclusion criterion of minimum 15 appearances, 22 CSFs are shortlisted for further analysis. Of these CSFs, around 32 per cent fall into red zone (most critical), 50 per cent into yellow and 18 per cent into green zone (least critical).

This work is limited by partial identification of CSFs. Though based on an extensive search, the retrieved CSFs may not be all the published ones. However, more thorough search techniques can be applied to improve upon this work.

The findings can be used to facilitate the decision-making in the context of project success.

This work is an original attempt at gathering Six Sigma CSFs applicable to construction projects. It may be used for further research and development to help ensure project quality and success.