Aim/Purpose: The objective of the research was to study the relationship of seven independent factors: administrative support, course content, course design, instructor characteristics, learner characteristics, social support, and technical support on quality of e-learning in higher education during the COVID-19 pandemic. Further, the study analyzes the moderating effect(s) of gender and level of the course on the quality of e-learning in higher education during the COVID-19 pandemic. objective of the research was to study the relationship of seven independent factors: administrative support, course content, course design, instructor characteristics, learner characteristics, social support, and technical support on quality of e-learning in higher education during COVID-19 pandemic. Background: The COVID-19 pandemic situation has impacted the entire education system, especially universities, and brought a new phase in education “e-learning.” The learning supported with electronic technology like online classes and portals to access the courses outside the classroom is known as e-learning. This study aimed to point out the variables influencing the quality of e-learning, such as administrative support, course content, course design, instructor characteristics, learner characteristics, social support, and technological support. Methodology: An inferential statistics cross-sectional study was conducted of the students of higher education institutions in India and the Kingdom of Saudi Arabia with a self-administered questionnaire to learn the students’ perception of e-learning. All levels of undergraduate and postgraduate students took part in the study with a sample size of 784. Ultimately, this study used a Structural Equation Modelling (SEM) approach to find the positive relationship between the quality of e-learning and the seven independent variables and two moderating variables in the higher education sector. Contribution: The study aims to explore the quality of e-learning in higher education from the students’ perspective. The study was analyzed based on the student’s data collected from the higher educational institutions of India and Saudi Arabia. The study will support the top management and administrators of higher educational institutions in decision making. Findings: The findings revealed that there is a positive relationship between the set of variables and the quality of e-learning in the higher education sector. Also, there is a significant difference in the perception of the students between gender, level of the course, and quality of e-learning in the higher education sector during the COVID-19 pandemic. Recommendations for Practitioners: The results of the study can help top management and administrators of higher educational institutions to improve their actions. Higher educational institutions need to concentrate on the study outcomes related to administrative support, course content, course design, instructor characteristics, learner characteristics, social support, and technological support to enhance the quality of e-learning. The study revealed that there should be a difference in the procedure of providing e-learning based on the level of the course and gender of the students. Recommendation for Researchers: The results were examined and interpreted in detail, based on the perspective of the students, and concluded with a view for future research. The study will be beneficial for academic researchers from different countries with a different set of students and framework. Impact on Society: The study revealed that the positive results of the students’ perspective on the quality of e-learning would help the policy-makers of the country in providing the learning process during the COVID-19 pandemic. Also, the result explored the importance of the quality aspects of e-learning for improvement. Future Research: There is a need for future studies to expose the quality of e-learning in higher education in the post-COVID-19 pandemic. Further researchers will bring the performance level of e-learning during the COVID-19 pandemic.

Leadership styles have often been proven to support employees in performing their duties better and with more efficiency while enabling them to have extended organizational tenures. Staff nurses are an essential resource of hospitals to ensure proper administration and quality patient health care. The study aims to determine how transformational and authentic leadership styles affect the staff nurses’ turnover intention in private hospitals. In addition, it also finds the moderating effect of perceived organizational support. An explanatory quantitative research design with a cross-sectional investigation and a stratified sampling strategy was used for the study. Data from 296 nurses from the eight chosen private hospitals in the Kingdom of Bahrain were gathered using a questionnaire with 24 items. Smart-PLS was employed to conduct PLS-SEM (partial least squares structural equation modeling) to measure direct and indirect effects. The result indicates that transformational, authentic leadership styles and perceived organizational support significantly negatively affect nurses’ turnover intention. The study confirms the negative moderating effect of perceived organizational support between transformational leadership and turnover intention and the positive moderating effect of perceived organizational support between authentic leadership and turnover intention. Managers should concentrate on the leadership style to avoid its impact on turnover intention. By considering human resource practices such as communication and training strategies to cope with the negative effect of turnover intention, organizations can enhance employee engagement, improve job satisfaction, and foster a more stable and productive work environment. The present research revealed the adverse impact of turnover intention within hospitals by examining its association with leadership styles. The research made a significant contribution to the existing literature by delving into the impact of leadership styles on turnover intention, focusing on the moderating effect of perceived organizational support. The study’s findings shed light on the intricate relationship between leadership practices and employee turnover, providing valuable insights for both scholars and practitioners in the field. The study used a cross-sectional design to collect data and ensured the absence of standard method variance. The research enhanced the social dominance theory (SDT) by examining how perceived organizational support moderates the relationship between leadership styles and turnover intention.

The COVID-19 pandemic situation has impacted the entire education system, especially universities, and brought a new phase in education, “blended learning.” The objective of the research was to study the relationship of eight independent factors: e-learning environment, e-learning facilitation, e-learning materials, e-learning technical support, instructors’ personal attention, interaction with instructors, interaction with peer students, and laboratory learning environment, in the provision of effective blended learning in higher education during COVID-19 pandemic. Additionally, an extended relationship of gender and level of course with the effective blended learning was studied. A descriptive cross-sectional study was conducted with the students of higher education institutions in the Kingdom of Bahrain, and the Kingdom of Saudi Arabia, with a self-administered questionnaire aimed to learn the students’ perception of blended learning. All levels of undergraduate and postgraduate students took part in the study with a sample size of 1229. Ultimately, this study used a Structural Equation Modelling (SEM) approach to find the positive relationship between the effective blended learning and the eight independent variables and two mediating variables in the higher education sector. The study results portrayed a positive relationship between the eight independent variables and blended learning effectiveness in higher education institutions. The findings revealed that there is a difference in the students' perception of gender, level of the course, and the effectiveness of blended learning in the HEIs. The research offers guidance to governing bodies, administrators, and teachers of HEIs in decision-making and improves their actions to provide the best teaching and learning through blended learning. HEIs need to focus on the study results to enhance blended learning effectiveness based on e-learning environment, e-learning facilitation, e-learning materials, e-learning technical support, instructors’ personal attention, interaction with instructors, interaction with peer students, and laboratory learning environment. Also, since there is a significant difference between the gender, level of the course, and blended learning, providing blended learning based on gender and level of the course needs to be concentrated on by the higher education institutions.

Information technology sector plays a vital role in the economy of the country. So the present study focused on the information technology sector of India to determine the effectiveness of human resource digital transformation. The administrative activities include personal record, updating details and benefits information, employee experience comprise cultural environment, technological environment and physical environment, and work-family balance encompass personal relationship, physical & mental health and overall happiness as independent variables. A total of 336 sample data collected from the employees of the information technology sector from Chennai. The goodness of model fit, composite reliability, discriminant validity between constructs, PLS path modelling utilized in full-fledged structural equation modelling by adopting SmartPLS to test the hypothesis. Employee experience has a positive influence; administrative tasks and work-family balance do not have a positive influence on human resource digital transformation. The results of the effectiveness of human resource digital transformation help the organization in decision-making and emphasize their action.

This study explores the potential of smart agriculture as a poverty reduction tool. Smart agriculture aims to increase productivity, sustainability, and profitability by incorporating cutting-edge technologies and data-driven strategies into farming methods. The study focuses on how smart agriculture can address problems faced by smallholder farmers in low-income areas, thereby helping to reduce poverty. The study assessed the effects of smart agriculture technologies like precision farming, remote sensing, and IoT devices on smallholder farmers’ productivity, income, and livelihoods through qualitative research methodology. It also conducted semi-structured interviews with farmers, agricultural experts, and policymakers. The current study examines the social, economic, and environmental elements that affect the uptake and success of smart agriculture programs in areas plagued by poverty. According to various studies, smart agriculture has great potential to reduce poverty among smallholder farmers. Precision farming techniques enable optimized resource utilization, including water, fertilizers, and pesticides, resulting in increased crop yields and improved incomes. Remote sensing technologies aid early detection of crop diseases and pest infestations, facilitating timely interventions and reducing crop losses. Also, IoT devices and data analytics enhance market access and information sharing, empowering farmers to negotiate better prices and access credit facilities. Policy interventions should focus on improving access to finance, capacity building, infrastructure development, and supportive regulatory frameworks to promote smart agriculture uptake and maximize its poverty reduction impact. Overcoming these challenges requires concerted efforts to ensure that the benefits of smart agriculture reach the most vulnerable and marginalized farming communities. By harnessing the potential of smart agriculture and fostering collaboration, this study can pave the way for sustainable and inclusive agricultural development, lifting smallholder farmers out of poverty and towards a more prosperous future.