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.

Purpose: In this research, we seek to understand the effects of artificial intelligence (AI) and knowledge management (KM) processes in enhancing proactive green innovation (PGI) within oil and gas organizations. It also aims to investigate the moderator role of trust and sustainability in these relationships.Design/methodology/approach: This paper employs a quantitative analysis. Surveys have been gathered from the middle-line managers of twenty-four oil and gas government organizations to evaluate the perceptions of the managers towards AI, KM processes, trust, sustainability measures and proactive measures toward green innovation. Analytical and statistical tools that were employed in this study, including structural equation modeling with SmartPLSv3.9, have been used to analyze the data and to examine the measurement and structural models of this study.Findings: The study results reveal a significant and positive impact of AI utilization, KM processes and PGI within oil and gas organizations. Furthermore, trust and sustainability turn out to be viable moderators affecting, and influencing the strength and direction of AI, KM and PGI relationships. In particular, higher levels of trust and more substantial sustainability commitments enhance the positive impact of AI and KM on green innovation outcomes.Practical implications: Understanding the impact of AI, KM, trust and sustainability offers valuable insights for organizational leaders and policymakers seeking to promote proactive green innovation within the oil and gas industry. Thus, organizations can increase the efficiency of sustainable product development, process improvement and environmental management by using robust AI technologies and effective KM systems. Furthermore, fostering trust among stakeholders and embedding sustainability principles into organizational culture can amplify the effectiveness of AI and KM initiatives in driving green innovation outcomes.Originality/value: This study extends the current knowledge by assessing the effect of AI and KM on proactive green innovation while accounting for trust and sustainability as moderators. Utilizing quantitative methods offers a nuanced understanding of the complex interactions between these variables, thereby advancing theoretical knowledge in the fields of innovation management, sustainability and organizational behavior. Additionally, the identification of specific mechanisms and contextual factors enriches practical insights for organizational practitioners striving for a practical understanding of the dynamics of the complexities of sustainable innovation in an AI-driven era.

This study aimed to determine the effect of organizational resilience and chief executive officer (CEO) narcissism on project success via the mediating role of organizational risks. The study also highlighted the potential of the organization to adapt to environmental conditions, while maintaining successful projects according to established standards. The study developed a theoretical framework, within which the hypothetical structure was built on involving the five study variables. The framework was then tested and used in electrical power sector projects in Iraq, particularly in Basra. The study distributed 201 questionnaires to employees in the electricity power sector to obtain the required data, after which data were exposed to AMOS (version 20) software applying path analysis to examine the proposed hypotheses. Based on the results obtained, a negative direct effect was found from narcissistic CEO to successful project as proposed. Such a characteristic was expected to prevent successful projects, as narcissistic CEOs have a higher tendency to impose their opinions on the employees, while monopolizing the decision-making process. Aside from this, organizational risks were found to partially mediate the influence of the successful project in that the decisions made by the narcissistic managers tended to be more dangerous in crisis periods and, as such, such managers were major causes in the failed projects. However, the findings of the study have some limitations, such as the focus on one sector (power projects). The conceptual framework also excluded other variables that could contribute to project success, such as risk management technology.

This study examines the effect of perceived organisational politics on organisational silence through the mediating role of organisational cynicism. In addition, it tests the effect of perceived support on this relationship. A quantitative (questionnaire survey) design was used to gather data from 346 employees in three public hospitals in Iraq. The structural equation model was used for data analysis. The results demonstrate that all the major hypotheses were accepted, and important role of perceived support in reversing the positive relationship between perceived organisational politics and organisational cynicism was also highlighted. Furthermore, the mediating role was clear in terms of organisational cynicism and the relationship between perceived organisational politics and organisational silence.