Evidence map›Paper›PMID 40136774›Full record

ArticleEuropean journal of investigation in health, psychology and education2025

Responses to the AI Revolution in Hospitality and Tourism Higher Education: The Perception of Students Towards Accepting and Using Microsoft Copilot.

Ahmed Mohamed Hasanein

Abstract read
In one paragraph

Article in European journal of investigation in health, psychology and education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Ahmed Mohamed HasaneinManagement Department, College of Business Administration, King Faisal University, Al-Hassa 31982, Saudi Arabia.ORCID 0000-0002-0664-9017

Funding

Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia, grant number [KFU2500281]
6 · The paper itself

Abstract

This research aims to examine hospitality and tourism students' acceptance and usage of Microsoft Copilot for educational purposes in Egyptian public universities. It also investigates the mediating role of behavioral intention (BI) in the connection between hospitality and tourism students' acceptance and actual use of Microsoft Copilot. This study adopted the unified theory of acceptance and use of technology (UTAUT) framework to achieve the research aim. A quantitative approach was used via online surveys distributed and gathered from 760 hospitality and tourism students from nine public universities in Egypt and analyzed using PLS-SEM to test the hypothesized relationships. The major findings showed that PE, EE, SI, and FC affected BI to use Microsoft Copilot and highlighted a substantial direct influence of SI, FC, and BI alone on the actual use of Microsoft Copilot. Therefore, BI partially mediates the relationship between SI and FC and real-world classroom utilization of Microsoft Copilot. This clarifies that BI has a slight role in the relationship between SI and FC and the actual use of Microsoft Copilot, while the relationship between PE, EE, and the actual use of Microsoft Copilot occurs entirely through BI. However, there was full mediation between the use of Microsoft Copilot in the classroom and BI between PE and EE. The results have several implications for Egyptian higher education institutions and academics of hospitality and tourism and are also relevant to other institutions in a comparable setting.

Indexed as

artificial intelligencehospitality and tourism educationMicrosoft Copilottechnology acceptancetechnology usage

Identifiers

PMID40136774
PMCPMC11941750

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.