Migration challenges of legacy software to the cloud: a socio-technical perspective

Cloud computing offers significant benefits for organizations, yet migrating legacy software to the cloud presents unique challenges for higher education institutions. This study investigates these challenges from a socio-technical perspective, addressing gaps in existing research. Using a mixed-method approach, we surveyed and interviewed stakeholders across five Saudi Arabian universities. Our findings reveal a complex interplay between technical, social, and organizational factors influencing cloud migration decisions. While institutions recognize benefits like improved accessibility and cost-effectiveness, they face barriers including technical complexities, resource constraints, and organizational resistance. The study’s key contribution is an integrated model for legacy software migration in higher education, emphasizing a resource-centric approach, pre-migration readiness, and agile decision-making tools. This model provides a comprehensive framework for policymakers and institutional leaders, bridging technical requirements with organizational realities to facilitate effective cloud adoption strategies in higher education.

Authors

Institutions

Publication Details

Journal
Cogent Business & Management
Published
2025-05-17
DOI
https://doi.org/10.1080/23311975.2025.2503421
Citations
2
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
2.97
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Migration challenges of legacy software to the cloud: a socio-technical perspective

Bashair AlThani
2 citations
Cogent Business & Management
IoT and Edge/Fog Computing
2.97
article

Migration challenges of legacy software to the cloud: a socio-technical perspective

Bashair AlThani
article en
2 citations

Abstract

Cloud computing offers significant benefits for organizations, yet migrating legacy software to the cloud presents unique challenges for higher education institutions. This study investigates these challenges from a socio-technical perspective, addressing gaps in existing research. Using a mixed-method approach, we surveyed and interviewed stakeholders across five Saudi Arabian universities. Our findings reveal a complex interplay between technical, social, and organizational factors influencing cloud migration decisions. While institutions recognize benefits like improved accessibility and cost-effectiveness, they face barriers including technical complexities, resource constraints, and organizational resistance. The study’s key contribution is an integrated model for legacy software migration in higher education, emphasizing a resource-centric approach, pre-migration readiness, and agile decision-making tools. This model provides a comprehensive framework for policymakers and institutional leaders, bridging technical requirements with organizational realities to facilitate effective cloud adoption strategies in higher education.

Cogent Business & ManagementVol. 12(1)
Imam Abdulrahman Bin Faisal University (SA), College of Business Administration (LV)
Reduced inequalities
Openalex Percentile: Top 9%
IoT and Edge/Fog Computing
2.97
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.