Authors:
Mesfin Workineh
1
;
Nuno M. Garcia
2
and
Dida Midekso
1
Affiliations:
1
IT Doctorial Program Software Engineering track, Addis Ababa University, Addis Ababa and Ethiopia
;
2
Lusophone University of Humanities and Technologies, Lisbon and Portugal
Keyword(s):
Cloud Computing, Adoption Readiness, Evidential Reasoning, Multiple Criteria Decision Analysis, Uncertainty, Small and Medium Enterprises, Organizational Capabilities, Developing Economies.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Cloud Computing
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Databases and Data Security
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Health Engineering and Technology Applications
;
Knowledge-Based Systems
;
Symbolic Systems
Abstract:
The aim of this paper is to develop Cloud computing (CC) adoption readiness assessment framework for small and medium enterprises (SMEs) in developing economies. The benefits obtained from CC let the SMEs in developing economies to consider CC as an alternate technological solution. These SMEs require adoption readiness assessment framework in order to eliminate complexities during adoption. Most of the existing frameworks involve technological characteristics to assess adoption readiness and also do not handle uncertainties of decision makers. But, technological characteristics are not foremost indicates of adoption readiness. Therefore, this study proposes Cloud adoption readiness assessment framework based on organizational resources perspective using evidential reasoning (ER) approach. The finding of this study contributes to the existing CC literature and helps the practitioner to make an informed adoption decision. Lastly, the effectiveness of proposed framework is shown using
case study.
(More)