Organizational commitment (OC) has gained popularity in recent times. It’s a very crucial determinant of employee retention, productivity, and a contributor to organizational growth and prosperity. The role of a faculty is very important in shaping the careers of students and in the overall growth of higher education institutions. The current study emphasizes how job-related factors like designation and demographic profiles like age, gender, education qualification, marital status, and area of belongingness affect OC of the faculty working in the HEIs of Uttarakhand, India. A simple random technique was used to determine the sample of the study; the sample of the study was 235 faculty members engaged in the higher education institutions (HEIs). 15 items were adapted from the questionnaire on OC developed by Mowday. To collect the data, an online questionnaire was sent to the faculty engaged in the HEIs through email and the WhatsApp application. To check the internal consistency, Cronbach's Alpha test was applied. The data were distributed normally, hence a parametric test was used. The study reveals that age, gender, experience, and marital status influence OC, and designation and area of belongingness have no impact on the OC. The policymakers need to develop strategies and policies keeping in mind both demographic and job-related factors to embrace and foster commitment amongst the employees.

Global research trends on Over-The-Top (OTT) media services were examined through a bibliometric and systematic review of 176 peer-reviewed documents published between 2010 and 2024, sourced from 117 journals and books. The analysis conducted using Bibliometrix, VOSviewer, and the PRISMA methodology identified a compound annual growth rate of approximately 34% in scientific output from 2010 to 2023, indicating rapid expansion in OTT research. The most prolific contributors by publication count are Chakraborty, Soren, and Sridevi. The leading countries in this field are India, South Korea, and the United States. Key research themes include platform dominance, consumer behaviour, and the impact of COVID-19 on OTT adoption, with “OTT” and “Netflix” as dominant topics in scholarly discussions. Although the data were sourced exclusively from Scopus, the findings offer a comprehensive overview of the evolution of themes, principal research networks, and prevailing trends in the OTT research domain.

This study examines the impact of corporate social responsibility (CSR) and internal control (IC) on corporate reputation (CR) in the context of digital transformation (DT), which serves as a moderating variable. Furthermore, a sample of 324 individuals was selected from the research community of accountants, auditors, and other specialists working in the Iraqi environment, and data were collected using a list of questionnaires analyzed based on a Likert scale. The stability and reliability of the scale were verified using Cronbach’s alpha and the split-half method according to Spearman-Brown’s value, and several statistical tests were used to verify data distribution and potential bias. In addition, regression models were designed to test four main hypotheses. The results showed a positive impact of both corporate social responsibility and internal control on corporate reputation. Digital transformation technologies (DTT) strengthens the relationship between CSR, IC, and CR. This study offers academic value as it empirically analyzes the impact of those variables in the light of DT as a moderating variable. It also provides management, regulators, and stakeholders with possible strategies in accordance with the business environment, and provides policy implications for promoting institutional development and ESG requirements.

The effectiveness of risk management within the Jordanian banks’ internal control systems and internal auditing is the focus of the study considering the moderate impact of AI in the form of expert systems and neural networks. This study aims to examine the impact of integrating AI in auditing and corporate governance in order to improve the organization’s ability to withstand adversity and endure over time. The study obtained data from 350 internal auditors from Jordanian conventional and Islamic banks through a structured survey. Using partial least square structural equation modeling (PLS-SEM), the study established a positive correlation between the effectiveness of internal auditing and the control of internal systems with risk management. Moreover, while neural networks have a weaker moderating impact, expert systems have a moderating impact on the relationship between the control internal systems and risk management. The study concludes that AI in the form of expert systems enhances the ability to recognize and eliminate risks through the development of internal control and audit functions. It also proposes that the study enhances the understanding of agency theory and the theory of technological superiority by demonstrating the role of AI in aiding human auditors to improve the governance systems in an organization. Moreover, the results assist bank managers, policymakers, and regulators to inform the integration of AI systems and tools to improve risk management practices.