As the landscape of education undergoes rapid transformations in the digital era, higher educational institutions are increasingly turning to Artificial Intelligence (AI) to enhance teaching, learning, and administrative processes. This abstract provides a comprehensive overview of the current state and future prospects of integrating AI in higher education.The integration of AI in higher educational institutions encompasses various facets, including personalized learning, intelligent tutoring systems, automated grading, and administrative efficiency. AI-powered educational tools leverage machine learning algorithms to analyze individual student performance, adapt content delivery, and provide personalized feedback, thereby optimizing the learning experience. This not only caters to diverse learning styles but also fosters a more inclusive and engaging educational environment. AI plays a pivotal role in automating administrative tasks, such as admissions processes, course scheduling, and resource allocation. This streamlining of administrative functions not only reduces the burden on educational institutions but also contributes to cost-effectiveness and operational efficiency. The abstract provides a snapshot of the current landscape of AI in higher educational institutions, offering insights into the transformative power of AI technologies and the challenges and opportunities that lie ahead. As educational paradigms continue to evolve, the judicious integration of AI has the potential to revolutionize teaching and learning methodologies, paving the way for a more efficient, adaptive, and inclusive higher education system.

Purpose: The COVID-19 pandemic has long-lasting effects that necessitate business revision, innovation, and transformation in the hospital industry. The research in this field is, however, still incredibly underdeveloped. Hotels have faced unprecedented pressure due to the outbreak of novel COVID-19, forcing many to close temporarily or permanently. The aim of this study is to assess COVID-19 effect on hotels within the Bono region of Ghana, as the protocols are currently relaxed.Design/methodology/approach: Using a quantitative approach, a stratified and purposive sampling method was used and 174 hotel managers in the Bono region responded to the research questions in relation to how their businesses were affected by the COVID-19 pandemic.Findings: The findings showed that the most prominent and recurring measures among hotels are the application of hygiene standards, employee training and awareness, reduction of employees’ guest contact and ensuring a safer environment for both guests and employees.Research limitations/implications: The study’s sample frame covers hotels in the Bono region of Ghana with lower star classifications, ranging from affordable to three stars in quality and service. Hotels should emphasize the importance of providing their personnel with ongoing training and education to prepare them to deal with the outbreak of the pandemic.Practical implications: As a result, the study suggests that hotel operators give innovative, fascinating and delightful accommodation experiences that may boost customers’ authentic happiness, as well as offer possibilities for customers to gain positive, memorable experiences from their experience.Social implications: Academia and hotel managers need to contribute to theory development in hotel marketing by analyzing changes in customer expectations and industry recovery measures to affect good changes in industry best practices in the aftermath of the epidemic.Originality/value: This study makes a significant contribution to the body of knowledge of the service delivery system model research because it is one of the initial studies to examine hotel business operations and activities during the COVID-19 utilizing the Bono region as a case. Theoretical, managerial and policy implications are discussed to cope with this crisis.

COVID-19 has fast-tracked the transition to the virtual environment in the global meetings, incentives, conference/convention, and exhibition (MICE) events sector. The present research explores the use of virtual and hybrid events in enhancing the resilience of MICE events. Additionally, these events were found to be essential for information sharing and proved valuable in times of uncertainty. This chapter focuses on how these events provided substantial market opportunities for MICE stakeholders globally. Moreover, several challenges surfaced when hosting such events, including the matter of internet connectivity and the significant capital investments required for their execution. Virtual and hybrid events have emerged as a valuable tool for enhancing the resilience of MICE events to crises, and hybrid events are postulated to become a prominent feature in MICE events offerings in the future. This study focuses on how events provided substantial market opportunities for MICE stakeholders in the country by exploring the opportunities and challenges for MICE sector. Utilizing secondary information available, the study drew conclusions, implications and recommendations are given.

Employees’ happiness is important for retaining hotel staff because of the nature of their long working hours. Grounded in the Fredrick motivational theory. The survey aimed to ascertain the association between “job satisfaction and turnover intention” in hotel operational staff in the Accra metropolitan area. Using the factor analysis data techniques, four main underlying factors including “pay, supervision, promotion as well as training and advancement” were found to have explained hotel employees’ job happiness in the Accra metropolis. The correlation analysis demonstrated a negative association between job satisfaction and the intentions for turnover. The recommendation to managers is that this situation can be address by paying hotel worker with good salaries/wages as their reward whilst creating opportunities for promotion.