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Goel, A, Ganesh, L and Kaur, A (2020) Social sustainability considerations in construction project feasibility study: a stakeholder salience perspective. Engineering, Construction and Architectural Management, 27(07), 1429–59.

  • Type: Journal Article
  • Keywords: Project feasibility study; Construction; Social sustainability; Stakeholder management; Stakeholder salience;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-06-2019-0319
  • Abstract:
    Past research recommends integration of social sustainability (SS) considerations in construction project feasibility study for benefitting a larger group of project stakeholders. However, there is a lack of empirical evidence to this effect, especially from the developing economies. The purpose of this study is to address this knowledge gap through a SS-centric analysis of feasibility study reports using a stakeholder salience perspective.Design/methodology/approach Feasibility study reports for 61 projects were obtained from various government organizations in India. The SS considerations were identified in the reports using a combination of quantitative and qualitative assessments. The former was based on content analysis and the latter was conducted using “VOSviewer” text analysis software.Findings SS considerations related to occupational health and safety, workers' employment practices and proactive involvement of communities and end-users were found to be inadequately addressed in the reports. Based on occurrences of the SS considerations, project-affected community was found to be the most salient stakeholder, followed by the end-users and the construction workers. Statistical analysis revealed significant relationship between the SS considerations and the type of project as well as the type of project delivery system.Originality/value This study contributes to better understanding of integrating SS considerations in feasibility study of construction projects. Its results provide useful inputs to decision-makers for orienting construction projects, right from the early phases, towards benefitting the disadvantaged and weaker stakeholders irrespective of their salience attributes. In developing economies, such interventions may improve quality of lives of a large number of project stakeholders and also cultivate a positive societal image of the construction industry as a respectful, ethical and employee friendly industry.

Karami, H and Olatunji, O A (2020) Critical overrun causations in marine projects. Engineering, Construction and Architectural Management, 27(07), 1579–94.

Li, G, Chen, C, Zhang, G and Martek, I (2019) Bid/no-bid decision factors for Chinese international contractors in international construction projects. Engineering, Construction and Architectural Management, 27(07), 1619–43.

Pablo, Z and London, K A (2020) Stable relationality and dynamic innovation: two models of collaboration in SME-driven offsite manufacturing supply chains in housing construction. Engineering, Construction and Architectural Management, 27(07), 1553–77.

Rostamnezhad, M, Nasirzadeh, F, Khanzadi, M, Jarban, M J and Ghayoumian, M (2020) Modeling social sustainability in construction projects by integrating system dynamics and fuzzy‐DEMATEL method: a case study of highway project. Engineering, Construction and Architectural Management, 27(07), 1595–618.

Wang, G, Xia, C and Cao, D (2020) State and determinants of inter-regional market entry practices in the Chinese construction industry: evidence from national quality award projects. Engineering, Construction and Architectural Management, 27(07), 1461–77.

Xue, J, Shen, G Q, Yang, R J, Zafar, I, Ekanayake, E, Lin, X and Darko, A (2020) Influence of formal and informal stakeholder relationship on megaproject performance: a case of China. Engineering, Construction and Architectural Management, 27(07), 1505–31.

Yap, J B H, Leong, W J and Skitmore, M (2020) Capitalising teamwork for enhancing project delivery and management in construction: empirical study in Malaysia. Engineering, Construction and Architectural Management, 27(07), 1479–503.

Yuan, F, Tang, M and Hong, J (2020) Efficiency estimation and reduction potential of the Chinese construction industry via SE-DEA and artificial neural network. Engineering, Construction and Architectural Management, 27(07), 1533–52.