Search results

Hotel industry is witnessing a radical change as a result of technology interaction such as artificial intelligence (AI) in service tasks. As a result of this transformation, the pattern of service delivery based on human interaction has been changed to digital interaction. This brought opportunities to the hotels industry and consolidate its competitive advantage. However, the understanding gap still existed in both practical implementation and literature, especially in developing countries. Therefore, this paper aims to explore how hotels use AI to carry out services tasks.

The authors adopted the qualitative research method through Semi interviews. The sample was purposively selected from five 5-star hotels in the UAE, meanwhile, the managers were the targeted respondents.

Through content analysis, the authors find that the UAE hotels use AI in managing trip planning, reception service and room services. The authors also find that there are four key drivers that improve the performance of AI, which include AI infrastructure flexibility, strategic alignment, management and skills. Finally, the authors found four indicators of the impact of AI on hotels, which are quality, cost and market share and customers satisfaction.

This study is one of few studies that explored the use of AI in the hotels industry and discussed how AI influence several aspects of hotels performance and helped them to attain their competitive advantage. This study is also one of few studies and the first study in UAE to explore the key drivers of AI performance in UAE hotels.

This study aims to examine the results of structural equation modelling in applying unified theory of acceptance and use of technology in adopting Islamic Fintech among millennials in Malaysia via measurement and structural models.

A total of 418 valid responses have been obtained from Malaysians who are using Islamic Fintech. Before the data is analysed into measurement and structural modelling preliminary analysis such as common method bias has been conducted.

All the requirements for model fit in this study have been achieved. Four exogenous constructs are performance expectancy, effort expectancy, social influence and facilitating condition. The mediating construct is behavioural intention, whereas the endogenous variable is user adoption. All exogenous constructs show significant p-values except for effort expectancy.

This study offers important implications, specifically for the digital economy that is currently making its way throughout every aspect of human life, namely, social, religious, financial transaction, entertainment and others. The impact of the digital economy can be traced through the emergence of Fintech. The adoption of Islamic Fintech is one of the least discussed areas academically, therefore, this study is considered necessary to explore the prediction of consumer behaviour in Islamic Fintech adoption as a part of the digital economy in Malaysia.

This study fills the perceived gap in the existing financial technology literature by assessing Islamic financial technology adoption via measurement and structural modelling.