With the spread of m-commerce usage around the globe, mobile commerce can become the primary approach for many users in transactions. Such a method is considered an innovative way for the financial wallet but with some encumbrances. Trust in mobile commerce is one of the challenges yet to receive in-depth studies regarding linear and non-compensatory relationships. This study aims to evaluate the determinants of trust in mobile commerce using hybrid three-stage Fuzzy Delphi-Structural Equation Modeling (SEM)-Artificial Neural Network (ANN) approach. A hybrid approach was performed on 344 users mobile-commerce activities. The results of this study provide valuable insights for mobile commerce firms to come up with effective plans that increase customer trust in mobile commerce. Practically, the relative importance of specific determinants of trust in mobile commerce contributes to providing deep insight into the factors of customer trust in mobile commerce. The proposed model predicts 94.80% trust in mobile commerce with social presence and social support theories. A novel perspective was provided in this study to encourage e-marketing among consumers to persuade customers to trust mobile commerce.

Project delay adversely affects the cost overrun, poor quality and stakeholder’s disputes thus resulting in unsuccessful projects. Project delay has a number of antecedents including the governance of project and information technology. The study provides empirical analysis of determinants of schedule delays in project completion. This will test the hypothesis that assumes that project governance and information technology governance are major predictor of project schedule delays. The study considers the software industry located in twin cities of Islamabad and Rawalpindi, Pakistan. According to the Pakistan Security and Exchange Commission, there are 245 software houses registered in Islamabad while 80 are registered in Rawalpindi. The study has used survey questionnaires to gather required information. Data was collected through simple random sampling techniques from 220 respondents. The data collected was analysed by doing structural equation modelling (SEM) to examine the said relationships. The reliability and validity of the instrument is established by the Cronbach’s α, composite reliability, and average variance extracted having values above threshold of 0.7, 0.7, and 0.5, respectively. The regression weight for first hypothesis (H1) assuming negative relationship between ITG and PD is −0.292. The second hypothesis (H2) assuming negative relationship between PG and PD has regression value of −0.418. The values of both hypotheses are significant. The study empirically tests the relationship between ITG, PG, and PD. The results suggest that better project governance (PG) reduces project delay (PD) and vice versa. Similarly, an appropriate information technology governance (ITG) also reduces the project delay (PD).