An integrated adoption model of cloud computing-based human resource management by SMEs in developing countries: evidence from Bahrain

Despite the increasing awareness of efficient and technology-driven human resource management at almost all levels of analysis in all organizations, more needs to be done regarding small- and medium-sized enterprises in developing country contexts like Bahrain to explore using cloud computing in HRM. This study applies the Technology, Organization, and Environment framework, extended to include individual managerial innovativeness, in examining the factors influencing the adoption of sustainable cloud computing-based HRM. Data were collected through a cross-sectional survey of 280 upper-level managers and human resource specialists across various SMEs in Bahrain. This data was analyzed using structural equation modeling (SEM) with the help of partial least square (PLS) software. The findings indicate that the technological, organizational, and environmental contexts greatly impact the adoption of sustainable cloud computing-based HRM, while individual managerial innovativeness does not. This study has significant implications for any human resource department looking to shift its operation onto a sustainable cloud computing platform in a developing country.

Authors

Institutions

Publication Details

Journal
Frontiers in Sustainability
Published
2025-02-28
DOI
https://doi.org/10.3389/frsus.2025.1503423
Citations
8
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
33.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An integrated adoption model of cloud computing-based human resource management by SMEs in developing countries: evidence from Bahrain

Ali Ateeq, Mohannad Moufeed Ayyash, Qadri Alzaghal, Nasser A. Saif Almuraqab et al.
8 citations
Frontiers in Sustainability
Technology Adoption and User Behaviour
33.35
article

An integrated adoption model of cloud computing-based human resource management by SMEs in developing countries: evidence from Bahrain

Ali Ateeq, Mohannad Moufeed Ayyash, Qadri Alzaghal, Nasser A. Saif Almuraqab, Marwan Milhem, Mohammed Alzoraiki, Sara Almeer
article en
8 citations

Abstract

Despite the increasing awareness of efficient and technology-driven human resource management at almost all levels of analysis in all organizations, more needs to be done regarding small- and medium-sized enterprises in developing country contexts like Bahrain to explore using cloud computing in HRM. This study applies the Technology, Organization, and Environment framework, extended to include individual managerial innovativeness, in examining the factors influencing the adoption of sustainable cloud computing-based HRM. Data were collected through a cross-sectional survey of 280 upper-level managers and human resource specialists across various SMEs in Bahrain. This data was analyzed using structural equation modeling (SEM) with the help of partial least square (PLS) software. The findings indicate that the technological, organizational, and environmental contexts greatly impact the adoption of sustainable cloud computing-based HRM, while individual managerial innovativeness does not. This study has significant implications for any human resource department looking to shift its operation onto a sustainable cloud computing platform in a developing country.

Frontiers in SustainabilityVol. 6
University of Dubai (AE), Palestine Technical University - Kadoorie (PS), Gulf University (RS)
Openalex Percentile: Top 1%
Technology Adoption and User Behaviour
33.35
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.