Adoption of Big Data Analytics and Artificial Intelligence Among Hospitality and Tourism Companies: Perceive Performance Perspective

The objective of the study was to develop a model of Big Data Analytics and Artificial Intelligence (BDA-AI) technology acceptance in the hospitality and tourism industry in Malaysia. The model developed in this study is Comprehensive Theory of Use and Adoption of Technology (CTUAT). This is an empirical and quantitative study based on a unified model developed through a massive literature review. The study adopted a cross-sectional online survey among 343 owners/managers of tourism and hospitality firms. Applying structural equation modeling and using AMOS software, data was purified and analyzed. The study identified that strategic orientation, performance effectiveness; top management support, organizational resources, employee readiness, and technology expectancy are the predictors of the behavioral intention of BDA-AI technology acceptance except for innovation on behavioral intention.

Authors

Institutions

Publication Details

Journal
Journal of Quality Assurance in Hospitality & Tourism
Published
2024-12-19
DOI
https://doi.org/10.1080/1528008x.2024.2442674
Citations
17
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
17.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adoption of Big Data Analytics and Artificial Intelligence Among Hospitality and Tourism Companies: Perceive Performance Perspective

Husam Ahmad Kokash, Saif Ahmed, Mst. Nilufar Ahsan, Mohammad Masukujjaman et al.
17 citations
Journal of Quality Assurance in Hospitality & Tourism
Technology Adoption and User Behaviour
17.86
article

Adoption of Big Data Analytics and Artificial Intelligence Among Hospitality and Tourism Companies: Perceive Performance Perspective

Husam Ahmad Kokash, Saif Ahmed, Mst. Nilufar Ahsan, Mohammad Masukujjaman, Syed Shah Alam
article en
17 citations

Abstract

The objective of the study was to develop a model of Big Data Analytics and Artificial Intelligence (BDA-AI) technology acceptance in the hospitality and tourism industry in Malaysia. The model developed in this study is Comprehensive Theory of Use and Adoption of Technology (CTUAT). This is an empirical and quantitative study based on a unified model developed through a massive literature review. The study adopted a cross-sectional online survey among 343 owners/managers of tourism and hospitality firms. Applying structural equation modeling and using AMOS software, data was purified and analyzed. The study identified that strategic orientation, performance effectiveness; top management support, organizational resources, employee readiness, and technology expectancy are the predictors of the behavioral intention of BDA-AI technology acceptance except for innovation on behavioral intention.

Journal of Quality Assurance in Hospitality & Tourism
Management and Science University (MY), Prince Sultan University (SA), Multimedia University (MY), University of Business and Technology (SA), National University of Malaysia (MY)
Decent work and economic growth
Openalex Percentile: Top 1%
Technology Adoption and User Behaviour
17.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Adoption of Big Data Analytics and Artificial Intelligence Among Hospitality and Tourism Companies: Perceive Performance Perspective — Husam Ahmad Kokash, Saif Ahmed, et al. · Journal of Quality Assurance in Hospitality & Tourism (2024) | TGRS Research Map | TGRS