DocumentCode :
2418970
Title :
Justifying the Decisions for EAI Adoption in LGAs: A Validated Proposition of Factors, Adoption Lifecycle Phases, Mapping and Prioritisation of Factors
Author :
Kamal, Md Mustafa ; Themistocleous, Marinos ; Morabito, V.
Author_Institution :
Dept. of Inf. Syst. & Comput., Brunel Univ., Uxbridge
fYear :
2009
fDate :
5-8 Jan. 2009
Firstpage :
1
Lastpage :
10
Abstract :
Local Government Authorities (LGAs) are responsible for providing reliable services and information to their citizens. However, literature indicates that LGAs have problems in meeting citizens´ demands. This may be attributed to the information technology (IT) infrastructure limitations in LGAs that are not integrated and do not allow them to deliver end-to-end integrated services. The reason is that legacy information systems (IS) are usually tailored to support specific business processes and functions and are difficult to integrate. This gives rise to a need for an integrated IT infrastructure that facilitates reuse of existing applications and flexibly implementing business processes. Enterprise application integration (EAI) has emerged to address the intra- and inter-organisational integration in a more flexible and manageable way. Nevertheless, its application in LGAs is limited. Thus, the authors demonstrate that it is of high importance to investigate this area within LGAs and result in research that contributes towards successful EAI adoption. In addressing the relative void, this paper proposes and validates a novel model for EAI adoption in LGAs and contributes to the body of knowledge by extending the literature. The proposed model can be used by LGAs as a tool for decision making while adopting EAI.
Keywords :
business data processing; government data processing; organisational aspects; EAI adoption; Local Government Authorities; adoption lifecycle; business process; citizen demands; decision making; enterprise application integration; information system; information technology infrastructure; organisational integration; Business; Decision making; Digital systems; Educational technology; Enterprise resource planning; Information systems; Information technology; Intserv networks; Local government; Marine technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 2009. HICSS '09. 42nd Hawaii International Conference on
Conference_Location :
Big Island, HI
ISSN :
1530-1605
Print_ISBN :
978-0-7695-3450-3
Type :
conf
DOI :
10.1109/HICSS.2009.282
Filename :
4755706
Link To Document :
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