Ali Yahya Gheni

The development teams who are geographically spread, culturally mixed and mainly depend on information and communication technology (ICT) for communication is defined as a global virtual teams (GVTs). Despite the advancement of technologies, achieving the efficient performance of GVTs remains a challenge. The reviewed literature has highlighted the importance of training and development, organizational commitment and motivation in enhancing the performance of GVTs. This study aims to identify the key performance indicators (KPIs), measures, and variables for assisting the GVT performance in global software development projects (GSD). In addition, this study aims to measure the GVTs performance involving online training and development, organizational commitment, and motivation in GSD projects. A survey was conducted among 103 respondents. Then, the performance measurement model (PMM) for GVTs in GSD projects was proposed based on the result of the survey. Finally, the project managers validated the study model. The proposed PMM includes four major components, namely performance measurement processes, mapping strategy for performance evaluation, measurements and performance analysis. The results showed the validity of the proposed model and confirmed that the PMM can assist project managers in measuring the performance of GVTs in GSD Projects.

This study investigates the constructs and related theories that drive social capital in energy sector from the intention perspectives. This research uses theories of ‘social support’ and ‘planned behaviour’ alongside satisfaction and perceived value to propose a research model that drives social capital for energy sectors in Malaysia. The model reveals that the Theories of Planned Behaviour (TPB) and Social Support Theory (SST) alongside satisfaction and perceived value factors promote social capital development in energy sectors. Using PLS–SEM to analyse data gathered from energy sector employees in Malaysia, this research demonstrates that social capital is present when there is trust and loyalty among the users and positively effects energy sectors in terms of the productivity, effectiveness, efficiency and profitability. The study also contributes to the understanding of individuals' use of social capital in energy sector. A survey is adapted and distributed to 100 respondents as a mean to study on the validity and reliability of the research factors. Results indicate that all seven hypotheses proposed significantly influence social capital.