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

Testing the Applicability of the Tam on Consumers' Intention to use E-purchasing in Gaborone in the COVID-19 Era | Chapter 4 | Current Aspects in Business, Economics and Finance Vol. 10

 The purpose concerning this study is to test the relevance of the technology acceptance model in anticipating consumers' goal to use e-purchasing during the ending of Covid-19 pandemic confinement in isolation. The study applied an explanatory research design and the group of data was assured from respondents populating in Gaborone, Botswana. In total, data were collected from 259 accused, with the dossier being perceived as suitable for dossier analysis. SPSS 26 was used to reckon inferential statistics to measure the projected relationships in the study. The study specifies knowledge on the antecedents of behavioural goal towards e-purchasing in a evolving market circumstances. The results confirm the importance of seen ease of use, seen usefulness, privacy concerns and stance on the future behavioural intention of purchasers towards e-purchasing in Botswana. The study can assist businesses in better understanding the significance of securing connected to the internet platforms that maybe easily navigated to obtain, securing date with their consumers through connected to the internet chats or chatbot engagement, directing the privacy concerns of online buyers in a professional and understanding manner and experiencing consumers on the value additional of buying merchandise and services connected to the internet. The study adds value to the field of shopping since the blend of factors influencing behavioural goal towards e-purchases in a developing African advertise context has not been widely explored before.

Author(s) Details:

Olumide Jaiyeoba,
Department of Graduate Studies, Botho University, Botswana.

Tendai Douglas Svotwa,
Department of Graduate Studies, Botho University, Botswana.

Mornay Roberts-Lombard,
Department of Marketing Management, College of Business and Economics, University of Johannesburg, South Africa.

Botshabelo Mafatlane,
Limkokwing University, Gaborone, Botswana.

Gertrude Mafatlane,
University of Botswana, Gaborone, Botswana.

Please see the link here: https://stm.bookpi.org/CABEF-V10/article/view/9634

Determination of Factors Influencing Behavioural Intention to Use the Mobile Wallet | Chapter 9 | New Innovations in Economics, Business and Management Vol. 2

 Mobile wallets have become widely used around the world as a result of significant technology advancements in smartphone devices in recent years. Despite a significant increase in intention to use mobile wallets in Malaysia, the majority of Malaysians still use cash to make payments. People may be hesitant to utilise a mobile wallet for a variety of reasons, including perceived ease of use, compatibility, perceived behavioural control, and trust. The goals of this study are to find out how much people are aware of mobile wallet intents and to look at the relationship between perceived ease of use, compatibility, and trust and a behavioural intention to use a mobile wallet. Questionnaires were used to collect data for this investigation. A total of 80 respondents from a total population of 100 employees in a global bank provided the data. After that, all of the data was analysed using the Statistical Package for Social Science (SPSS). Reliability, normalcy, frequency distribution, descriptive, and multiple regression analysis were among the tests that were converged. All of the variables in this study had a substantial impact on the behavioural intention to use a mobile wallet. The most important aspect affecting a person's decision to use a mobile wallet is trust.

Author(S) Details

Mohd Zailani Othman
Faculty of Business and Management, University Teknologi MARA (UiTM) Kampus Bandaraya Melaka, Melaka, Malaysia.

View Book:- https://stm.bookpi.org/NIEBM-V2/article/view/4745