The quality of the constructed social infrastructure project has been considered a necessary measure for the sustainability of projects. Studies on factors affecting project quality have used various techniques and methods to explain the relationships between particular variables. Unexpectedly, Structural Equation Modeling (SEM) has acquired very little concern in factors affecting project quality studies. To address this limitation in the body of knowledge, the objective of this study was to apply the SEM approach and build a model that explained and identified the critical factors affecting quality in social infrastructure projects. The authors developed a quantitative approach using smart-PLS version 3.2.7. This study shed light on the views of different experts based on their experience in public construction projects in Pakistan. Particularly, the authors aimed to find out the relationships between construction, stakeholders, materials, design, and external factors, and how these relate to project quality. The findings of this study revealed that the R 2 value of the model was scored at 0.749, which meant that the five exogenous latent constructs collectively explained 74.9% of the variance in project quality. The Goodness-of-Fit of the model was 0.458. The construction related factor was the most important out of the five constructs. This study determined that better planning and monitoring and evaluation should be developed to better address and control the quality defects by decision-makers, project managers as well as contractors. These findings might support practitioners and decision makers to focus on quality related problems that might occur in their current or future projects.

Project delays are a large and prevalent problem in the Gilgit-Baltistan construction industry, and delays can distinctly affect project duration, budget, and also community needs. The purpose of this study is to highlight and rank delaying factors in the Annual Development Programme public sector building infrastructure projects and examine them through a relative importance index. A total of 52 delaying factors were identified through a detailed literature review and categorized into eight major groups, and a pilot study with 16 experienced construction experts was conducted. A questionnaire survey was conducted to collect the importance of each factor from public construction experts. In total, 102 respondents participated in the survey. The study determined that difficulties in financing projects by contractors, delays in progress payments, dispute on land usage, improper project feasibility studies, award project to the lowest bid price, extreme weather conditions, inadequate contractor experience, and insufficient data collection and survey before design were among the top eight critical delaying factors. In addition, Spearman's rank correlation tests revealed that there was no difference in perception between owners and contractors. A comparison of the top five delay factors was done with eight preferred construction industries in Asia to validate the results of this study. The findings are likely to be a solid contribution to the Gilgit-Baltistan construction industry in mitigating future construction delays.

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Abstract:The construction industry is one of the key sectors that facilitate sustainable economic and social development in the region. Currently, community development mechanisms are adopted by many developed and developing nations, aimed at enhancing economic growth and quality of life along with social welfare of the local community. This study reviews the rural residents' perception of public construction project delays and aims to explore economic and social challenges confronted by residents, especially in rural areas in Pakistan. A questionnaire with 26 factors identified from the literature was sent to rural educated residents. Through a questionnaire survey, the opinions of rural residents were sought and tested. Based on 366 (73%) valid responses, this study examined the socio-economic influencing factors. The findings of the study revealed that problems faced while traveling, increase the price of consumer goods, high transportation costs, lack of educational opportunities, more expenditures on education, and barriers to primary healthcare access were the top most important factors. Research results confirmed that the delays in construction projects negatively affect the socio-economic conditions of the rural community, which directly influence the rural dwells' sustainable life. The research findings suggest that the practitioners in public sector organization make sure to execute the project on time and within the quality. Otherwise, it has negative socio-economic implications for the rural community.

The governance of public sector infrastructure projects became an important area of interest in the literature on project management. Today, it is a focal point for policymakers to ensure successful appraisal and implementation of government-sponsored programs. This paper aims to investigate the current practices of project governance (PG) for steering the public sector infrastructure program in Pakistan. An empirical investigation was carried out among professionals of public sector organizations involved in different infrastructure development projects. Latent construct of PG was validated through second-order confirmatory factor analysis (CFA) and quantified the three dimensions of PG, i.e., portfolio direction (PD), sponsorship, effectiveness, and efficiency (SEE), and disclosure and reporting (DR) through the relative importance index (RII) method. The result showed that DR is among the least practicing dimension having RII = 0.55, while PD and SEE have shown similar prevalence with RII = 0.70 and 0.69, respectively. Overall, the most practicing item in the PG was “the alignment of portfolios with objectives and strategy” whereas the lowest practicing item relates to the “completeness of project information distribution due to the multi-layered bureaucratic system.” The findings of this study will guide the decision makers to take appropriate measures for enhancing the effectiveness of PG in Pakistan.