A design of evaluation method for SaaS in cloud computing
Abstract: 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.
Keywords: Cloud Computing,
Software as a Service, Application Portfolio Management, Application
Rationalization, SaaS Risk Assessment
Author: Chekfoung Tan, Kecheng
Liu, Lily Sun
Journal Code: jptindustrigg130054
