CLOUD-QM: a quality model for benchmarking cloud-based enterprise information systems

Date

2024-01-01

Author

Şener, Umut
GÖKALP AYDIN, EBRU
Eren, Pekin Erhan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

46
views

0
downloads

Cite This

Organizations are increasingly migrating from on-premise enterprise information systems (EIS) to cloud products due to cloud computing benefits, such as flexibility, elasticity, and on-demand service. However, identifying the most suitable option becomes challenging with the proliferation of Cloud-EIS solutions in the market. To address this challenge, this study introduces a novel quality model named Cloud-QM, based on ISO/IEC 250nn standards. It diagnoses the quality of Cloud-EIS products, benchmarks available options, and identifies the most suitable choice for the organization. Cloud-QM comprises 10 main dimensions, 33 sub-dimensions, and corresponding metrics for a systematic quality assessment. Furthermore, the practical use of Cloud-QM is illustrated through a case study that evaluates two substitute Cloud-EIS products. The results from the case study highlight the effectiveness of Cloud-QM in enabling decision-makers to delve into the quality dimensions and facilitate the selection of the most suitable product for their organizations. The main contributions are as follows: (1) proposing a comprehensive and hierarchically structured quality model for Cloud-EIS products; (2) offering a quantifiable and standardized assessment approach through a set of metrics for quality evaluation; and (3) demonstrating applicability and usability of Cloud-QM by benchmarking Cloud-EIS products.

Subject Keywords

Benchmarking, Cloud computing, Cloud-based enterprise information systems, Decision making, Quality model

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85192993058&origin=inward
https://hdl.handle.net/11511/109910

Collections

Graduate School of Informatics, Article