Evidence map›Paper›PMID 40634436›Full record

ArticleScientific reports2025

A unified model integrating UTAUT-Behavioural intension and Object-Oriented approaches for sustainable adoption of Cloud-Based collaborative platforms in higher education.

Kaihong Feng, Divya Haridas

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Kaihong FengSchool of Information Science and Technology, National University of Malaysia, Bangi, 43600, Selangor, Malaysia. norbertfeng199371044047p147151@asu.edu.pl.
Divya HaridasSaveetha School of Engineering, SIMATS, Chennai, 602105, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, cloud computing (CC) services have expanded rapidly, with platforms like Google Drive, Dropbox and Apple iCloud and gaining global adoption. This study evolves a predictive model to identify the key factors that influencing Jordanian academics' behavioral intention to adopt sustainable cloud-based collaborative systems (SCBCS). By integrating Unified Theory of Acceptance and Use of Technology (UTAUT) along with system design methodologies, we put forward a comprehensive research model to improve the adoption and efficiency of SCBCS in developing countries. By using cross-sectional data from 500 professors in Jordanian higher education institutions, we adapt and extend the UTAUT model to describe behavioral intention and also assess its impact on teaching and learning processes. Both exploratory and confirmatory analyses exhibits that expanded UTAUT model significantly improves the variance explained in behavioral intention. This Study key findings reveal that behavioral control, effort expectancy and social influence significantly impact attitudes towards using cloud services and also contributes to sustainable development goals by promoting the adoption of energy-efficient and resource-optimized cloud-based platforms in higher education. The findings provide actionable insights for policymakers and educators to improve sustainable technology adoption in developing countries, ultimately improving the quality and sustainability of educational processes.

Indexed as

Artificial intelligenceCloud based collaborative platformsObject oriented modelUTAUT

Identifiers

PMID40634436
PMCPMC12241431

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.