Employee Retention in AI-Enabled Hospitality Organisations: An Explanatory Study Using the Technology Acceptance Model | Chapter 5 | New Horizons of Science, Technology and Culture Vol. 7

 

Employee retention remains a persistent challenge in the hospitality industry due to high labour intensity, emotional labour demands, and volatile employment conditions. At the same time, hospitality organisations are increasingly adopting artificial intelligence (AI)–enabled human resource (HR) systems to improve efficiency and decision-making. While prior research emphasises the role of HR practices in shaping employee retention, it largely overlooks how employees’ acceptance of technology conditions the effectiveness of these practices in AI-enabled organisational contexts. Drawing on the Technology Acceptance Model (TAM) and insights from established HR and motivation theories, this study examines the relationships between core HR practices, perceived usefulness, perceived ease of use, and employees’ intention to stay in AI-enabled hospitality organisations. Using an explanatory research design, data were collected through a structured questionnaire administered to employees of four- and five-star hotels in Kolkata, India. A total of 193 valid responses were analysed using reliability analysis, correlation analysis, hierarchical regression, and mediation–moderation testing with the PROCESS macro. The results indicate that compensation and benefits have a significant direct effect on intention to stay, while training and development, career development, and performance appraisal do not exhibit significant direct effects. Importantly, perceived usefulness mediates the relationship between HR practices and intention to stay, whereas perceived ease of use moderates the effectiveness of HR practices by shaping employees’ acceptance of AI-enabled HR systems.

 

The findings extend the Technology Acceptance Model beyond technology adoption to explain employee retention and offer a socio-technical perspective on HR effectiveness in AI-enabled hospitality contexts. The study provides actionable insights for hospitality managers seeking to leverage AI-enabled HR systems to strengthen employee retention.

 

 

Author(s) Details

Mahasweta Ghosh
NSHM, Durgapur, India.

 

 

Please see the book here :- https://doi.org/10.9734/bpi/nhstc/v7/7014

Applying the Technology Acceptance Model to Understand Student Adoption of Digital Technologies at Sunyani Technical University | Chapter 1 | Science and Technology: Developments and Applications Vol. 4

In several developing nations, Information and Communications Technologies (ICT) are provided to instructors and learners without considering their attitudes and perceptions toward these technologies. Students’ attitudes have been identified as a predictor of the adoption of new technologies. The Technology Acceptance Model (TAM) has been extensively used to determine the extent of adoption and use of digital technologies in research. The model addresses the technical shortfalls of users by confronting some undesirable behavioural and perceptual traits that discourage the acceptance and usage of digital technologies. This study, therefore, sought students’ acceptance and use of digital technologies for the purpose of enhancing their learning. Inquiring from students how they use their digital devices and further rating their level of digital competencies (skills and knowledge) spurred the researcher to adopt an instructional delivery system through the application of the TAM to enable students to adopt, accept and incorporate these technologies into their learning in order to make learning flexible and self-paced. The quantitative method was used to answer the research questions that guided this study. This study aimed to apply the TAM to provide a descriptive analysis of how students adopt and use digital technologies in their remote locations. A survey questionnaire with 13 perceived ease of use, 13 perceived usefulness and 26 attitudes toward use items was designed in Google Forms and analysed using International Business Machines (IBM) Statistical Package for Social Sciences (SPSS) Version 23. The study also sought to use the model to address students’ perceptions and attitudes toward the use of digital technologies. The results of the Technology Acceptance Model indicated that students have developed the appropriate attitudes and perceptions to adopt and use digital technologies due to the fact that overall, students find digital technologies easy to use and very useful during learning. The study revealed that respondents developed positive attitudes and right perceptions toward the use of digital technologies during lessons because they gained more understanding and insight through the lively course content they offered. Respondents now have the belief that the intervention has helped them to develop the zeal to adopt and use digital technologies to enhance their learning.

 

Author (s) Details

Ernest Ofori

Department of Educational Innovations in Science and Technology, Faculty of Art, College of Art and Built Environment, Kwame Nkrumah University of Science and Technology (KNUST), Ghana.

 

Please see the book here:- https://doi.org/10.9734/bpi/stda/v4/3464