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Abstract

Purpose Steered by upper echelon theory, this study aims to scrutinize the prevalence of project manager demographic factors (age, education and experience) in project sustainability management and project performance. Design/methodology/approach We used a sample of 209 project managers/supervisor/team leaders who were working in the projects of the China-Pakistan Economic Corridor (CPEC). Findings The results indicate that project manager demographic factors have a significant influence on project performance (except experience) and project sustainability management. Moreover, project sustainability management partially mediates the relationship between age, education and project performance while it fully mediates the path between experience and project performance. Practical implications The research recommends senior, high educated and experienced managers for CPEC who promote sustainability and gain high project performance. Originality/value A number of studies have been carried out to assess the relationship between top managers’ attributes and environmental activities. However, so far, none of the studies has paid attention to the CPEC and projects working in Pakistan.

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Sustainability-related risk and vulnerability management have attained significant attention from academia and industry. Manufacturing industries in developing countries such as Pakistan are under severe economic pressure and striving to boost sustainable supply chain practices for achieving business excellence. In this context, the objectives of the present research are to examine the critical supply chain risks associated with sustainable development goals, namely social, economic, and environmental factors. The failure mode and effect analysis (FMEA) technique is employed for categorizing the risk factors and Pareto analysis for highlighting the more crucial and risky factors. For this purpose, a large-scale survey was carried out in the textile industries of Pakistan to develop a risk mitigation model for sustainability-related risks and vulnerability in a textile supply chain (TSC). It captures the input expressions of experts for risk factors, namely severity (s), occurrence (o), and detection (d) for calculating the risk priority numbers (RPNs) of identified alternatives. The results depict that endogenous environmental risks categorize as the most significant for the textile manufacturing industries, and the interfaces between the various risks associated with sustainability-related are also found very high. This study would be a toolkit for the industrial managers and policy-makers for creating sustainable manufacturing culture on organizational premises.