Artikel
A design of evaluation method for SaaS in cloud computing
Purpose: This paper aims to design an evaluation method that enables an organization to assess its current IT landscape and provide readiness assessment prior to Software as a Service (SaaS) adoption.Design/methodology/approach: The research employs a mixed of quantitative and qualitative approaches for conducting an IT application assessment. Quantitative data such as end user's feedback on the IT applications contribute to the technical impact on efficiency and productivity. Qualitative data such as business domain, business services and IT application cost drivers are used to determine the business value of the IT applications in an organization. Findings: The assessment of IT applications leads to decisions on suitability of each IT application that can be migrated to cloud environment. Research limitations/implications: The evaluation of how a particular IT application impacts on a business service is done based on the logical interpretation. Data mining method is suggested in order to derive the patterns of the IT application capabilities. Practical implications: This method has been applied in a local council in UK. This helps the council to decide the future status of the IT applications for cost saving purpose. Originality/value: The proposed method has gauge various factors including the organizational, business, IT, SaaS assessment, risk assessment prior to SaaS adoption. SaaS providers and consumers hence can have a better understanding on the SaaS adoption from the top level.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Journal of Industrial Engineering and Management (JIEM) ; ISSN: 2013-0953 ; Volume: 6 ; Year: 2013 ; Issue: 1 ; Pages: 50-72 ; Barcelona: OmniaScience
- Klassifikation
-
Management
- Thema
-
Cloud Computing
Software as a Service
Application Portfolio Management
Application Rationalization
SaaS Risk Assessment
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Tan, Chekfoung
Liu, Kecheng
Sun, Lily
- Ereignis
-
Veröffentlichung
- (wer)
-
OmniaScience
- (wo)
-
Barcelona
- (wann)
-
2013
- DOI
-
doi:10.3926/jiem.661
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Tan, Chekfoung
- Liu, Kecheng
- Sun, Lily
- OmniaScience
Entstanden
- 2013
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