Urbanization plays a crucial role in facilitating the integration of population growth, industrial development, economic expansion, and energy consumption. In this paper, we aim to examine the relationships between CO2 emissions and various factors including economic growth, urbanization, financial development, and energy consumption within Pakistan’s building sector. The study utilizes annual data spanning from 1990 to 2020. To analyze the cointegration relationship between these variables, we employ the quantile autoregressive distributed lag error correction model (QARDL-ECM). The findings of this research provide evidence supporting the presence of an asymmetric and nonlinear long-term relationship between the variables under investigation. Based on these results, we suggest the implementation of tariffs on nonrenewable energy sources and the formulation of policies that promote sustainable energy practices. By doing so, policymakers and architects can effectively contribute to minimising environmental damage. Overall, this study offers valuable insights that can assist policymakers and architects in making informed decisions to mitigate environmental harm while fostering sustainable development.

Learning from experience to improve future infrastructure public-private partnerships is a focal issue for policy makers, financiers, implementers, and private sector stakeholders. An extensive body of case studies and “lessons learned” aims to improve the likelihood of success and attempts to avoid future contract failures across sectors and geographies. This paper examines whether countries do, indeed, learn from experience to improve the probability of success of public-private partnerships at the national level. The purview of the paper is not to diagnose learning across all aspects of public-private partnerships globally, but rather to focus on whether experience has an effect on the most extreme cases of public-private partnership contract failure, premature contract cancellation. The analysis utilizes mixed-effects probit regression combined with spline models to test empirically whether general public-private partnership experience has an impact on reducing the chances of contract cancellation for future projects. The results confirm what the market intuitively knows, that is, that public-private partnership experience reduces the likelihood of contract cancellation. But the results also provide a perhaps less intuitive finding: the benefits of learning are typically concentrated in the first few public-private partnership deals. Moreover, the results show that the probability of cancellation varies across sectors and suggests the relative complexity of water public-private partnerships compared with energy and transport projects. An estimated $1.5 billion per year could have been saved with interventions and support to reduce cancellations in less experienced countries (those with fewer than 23 prior public-private partnerships).

This study investigates the impact of Corporate Social Responsibility (CSR) on employee job satisfaction within Pakistan's construction industry, with a focus on the mediating role of organizational commitment and the moderating role of perceived organizational support (POS). Employing survey data collected from a diverse range of construction firms across Pakistan, the quantitative analysis reveals that CSR initiatives significantly enhance employee job satisfaction, primarily through the mediating influence of organizational commitment. The findings suggest that when employees perceive their organization as socially responsible and engaged in community betterment, they exhibit greater commitment to the organization, which in turn fosters higher levels of job satisfaction. Although POS does not significantly moderate the CSR—job satisfaction relationship, it remains a critical factor in cultivating a supportive and positive work environment. This study contributes to the growing literature on CSR and employee outcomes by offering empirical evidence from a developing economy context. The results have practical implications for construction firms aiming to enhance employee morale and reduce turnover by leveraging CSR as a strategic tool to improve organizational commitment and overall job satisfaction.

HRIS is a crucial tool for HR departments as it provides a digital platform for managing and automating various HR functions. HRIS is a comprehensive solution that integrates HRM functions with IT, enhancing the daily operations of HR professionals. In today’s knowledge-based economy, business success relies heavily on the performance of its human resources, which are essential in a rapidly changing global environment. Businesses continually strive to stay ahead of the curve in the ever-evolving technology landscape to thrive in the market. Some scholars have highlighted the negative impact of Human Resource Information Systems, primarily focusing on the invasion of privacy as the main disadvantage. The study indicates that implementing a Human Resource Information System (HRIS) enhances business performance in the tourism and hospitality industry of the Maldives. It highlights that user satisfaction and ease of use are positively influenced by these systems. The research surveyed 211 professionals and managers from the Maldives tourism and hospitality sector using a Likert Scale questionnaire to assess the impact of the HRIS on business performance. The study used SPSS 22.0 to analyze the impact of the Human Resource Information System (HRIS) on the dependent variable. The findings indicate that managerial personnel and human resource specialists in organisations find a user-friendly and satisfying HRIS motivating and beneficial for enhancing their performance. Organisations implement the HRIS to achieve their goals, identify system shortcomings, and develop strategies to improve business performance in the Maldives’ tourism and hospitality sector.

The range migration algorithm (RMA) is an accurate imaging method for processing synthetic aperture radar (SAR) signals. However, this algorithm requires a big amount of computation when performing Stolt mapping. In high squint and wide beamwidth imaging, this operation also requires big memory size to store the result spectrum after Stolt mapping because the spectrum will be significantly expanded. A modified Stolt mapping that does not expand the signal spectrum while still maintains the processing accuracy is proposed in this paper to improve the efficiency of the RMA when processing frequency modulated continuous wave (FMCW) SAR signals. The modified RMA has roughly the same computational load and required the same memory size as the range Doppler algorithm (RDA) when processing FMCW SAR data. In extreme cases when the original spectrum is significantly modified by the Stolt mapping, the modified RMA achieves better focusing quality than the traditional RMA. Simulation and real data is used to verify the performance of the proposed RMA.