With the advent of AI, consumer-brand interactions are undergoing a dramatic transformation (Prikshat, Malik, and Budhwar, 2021). The consumer experience that AI aids is a least explored area of study. This research aims to examine how AI may be used in retail to enhance the purchasing experience for AI users. With the trust-commitment theory and the service quality model as our inspiration, we put out a theoretical framework. Customers who have used a YouTube service powered by artificial intelligence were sent an online survey. Partial least squares-structural equation modeling was used to analyze the data (n=301 replies). Trust and relationship commitment was shown to play a pivotal role in moderating the connections between customers' evaluations of service convenience, individualization, and quality. We also discovered that trust is not the only factor that substantially influences relationship commitment and that relationship commitment acts as a mediator between service quality and AI-enabled customer experiences. This research fills a gap in the literature by identifying the direct influence of perceived convenience, personalization, and service quality on AI-enabled customer experience and the intermediary effects of trust and relationship commitment. Further, the research has real-world consequences for businesses that want to apply AI in the services they provide to YouTube subscribers.

The purpose of this study is to examine the comparison between sponsored and non-sponsored personal administrative factors during the COVID-19 pandemic. Over the past decade, governments around the world have started to experiment with entrepreneurial ecosystems in an effort to drive enterprise development and innovation in their economies. However, there is no consensus for sustainable policy performance in ecosystem development. Drawing on literature from strategy, institutions, social behavior, and entrepreneurship, the purpose of this study is to examine the role of entrepreneurial personal skills, management business skills, and social sustainability in receiving government funding. Using a unique dataset of 948 entrepreneurs in Kuwait from 2020-2021, we analyze a sample of two groups: those who received funding and those who did not receive funding from the National Fund for Small and Medium Enterprise Development. The finding implies that individuals who did not obtain funds have higher performance indices in management and entrepreneurial business abilities but lower social sustainability. Furthermore, business owners who did not obtain financing are less likely to have closure plans. This research has significant practical implications for the way the government distributes funds to entrepreneurs. It suggests that the financing criteria may need to be reassessed, taking into account not only managerial and entrepreneurial talents but also social sustainability factors. The results can assist policymakers in understanding how efficiently and effectively resources are allocated, particularly in the context of assisting small and medium-sized businesses.

Understanding the integration of artificial intelligence (AI) in academic institutions is crucial given Kuwait’s commitment to innovation and educational excellence. This study explores the integration of AI into higher education in Kuwait, revealing both positive perceptions and critical concerns. Qualitative insights from faculty and students highlight AI’s potential to improve learning across multiple academic disciplines. Quantitative data, collected from 310 students, shows that a majority of students hold optimistic views on AI’s effectiveness in enhancing educational processes and project-based activities. However, concerns were raised about the ethical implications, high costs, data privacy, and the complexity of AI tools. Importantly, no statistically significant difference was found between male and female students’ views on AI’s role in education. These findings are significant for policymakers and educators, guiding how to address practical and ethical challenges while facilitating the effective incorporation of AI into the educational system.

This study evaluated the Moodle Professional Learning Management System (PLMS), based on user experience during the global pandemic of COVID-19, to explore the impact of system, service, information, education, learner, and instructor qualities on user satisfaction (SAT), perceived ease of use (PEOU), and perceived usefulness (PU). Data were collected using previously validated scales. Using SmartPLS structural equation modeling, data from 403 college students were analyzed to test 22 hypotheses. The results show that system and information quality positively affect PEOU. Although service quality had a partially significant impact on PU, it negatively affected SAT and PEOU. The quality of the education system had a partially positive impact on PU but a negative impact on PEOU and SAT. Learner quality positively affected PEOU, PU, and SAT. Although PU and PEOU significantly and positively affected benefits (BEN), SAT had only a partially significant impact. The results support the need for continued integration of e-learning with traditional learning schemas. This comprehensive analysis demonstrates how quality dimensions affect user experiences and outcomes in a unique cultural and emergency context, thus contributing to the e-learning body of knowledge.

Purpose: This paper reviews related literature, including models and frameworks that focus on the skills of the digital instructor in the innovative learning environment. The study also tries to identify, key areas and missing factors, and thus locate digital skills and future avenues for education and satisfy the needs of digital-age learners. Theoretical framework: Information technology will have a significant impact on education if operated properly by competent and capable instructors. The accelerated application and investment in technology have altered education, and instructors play a crucial role in the transition to 21st-century learning standards and methods. This is especially important because the future will be dominated by artificial intelligence (AI), advanced technology, and automation, which will require the next generation of employees to be tech-savvy. Therefore, this study will locate digital skills for instructors and provide recommendations and a road map that support both the advanced technological tools and the new innovative learning strategies in the context of human resource management. Design/Methodology/Approach: The researchers took a literature review as a method to determine the current situation, success factors of online learning, instructors’ skills in the context of HRM. In addition, a qualitative analysis was conducted in the form of a focus group discussion, to spotlights on issues related to instructors needs to practice their roles in the e-learning environment. Findings: The results of this study have provided evidence that instructors' proficiency in IT “Digital Instructors” will transform teaching and learning to satisfy the 4th industrial revolution which is based on digital skills and contribute to the digital economy. Originality/Value: The results of this study are expected to be useful input for policymakers in education to be more courageous in making decisions when investing in IT resources and human resources “Instructors” in order to create superior and competitive teaching and learning environment. A framework is proposed in this study with consideration of HRM issues that will work effectively to enhance the role of digital education in society and contribute to the development of the educational process.

Purpose: Performance appraisal systems have become a crucial tool for organizations in evaluating and maximizing the effectiveness of their employees. It is the main goal of this study to find out how well the employees' performance appraisal system for employees works in Kuwait, paying special attention to how employees and managers feel about it in both private and public sectors. Theoretical Framework: Performance appraisal systems play a critical role in enhancing organizational performance, employee development, and overall job satisfaction. However, the effectiveness of such systems can vary based on organizational cultures, contextual factors, and the alignment of appraisal practices with local norms. A literature review was a vital step, it established a foundation for this study and guides its design, implementation, and interpretation. Design/Methodology/Approach: The study employs a mixed-methods approach, combining quantitative surveys and qualitative interviews to gather insights from a diverse sample of employees and managers across various institutions in Kuwait in both of its sectors. The research design allows for the collection of both quantitative data, offering statistical trends and patterns, and qualitative data, providing nuanced perspectives and in-depth understanding. Findings: Findings reveals a moderate level of agreement, satisfaction, or endorsement of the performance appraisal system in their organizations. Results also demonstrate significant differences between respondents from government and private sectors, in favor of private. Originality/Value: This research also shed lights on the strengths and areas requiring improvement in such systems which is valuable insights for organizations looking to improve their performance management processes, leading to improved employee performance, engagement, and decision-making.