DocumentCode
1785959
Title
Impediments to interagency statistical information sharing amongst government agencies in Uganda: A G2G adoption
Author
Ouma, Flavia Kyeyago
Author_Institution
Uganda Bur. of Stat., Kampala, Uganda
fYear
2014
fDate
7-9 May 2014
Firstpage
1
Lastpage
11
Abstract
Statistical Information Sharing (SIS) amongst Government agencies is a form of Government to Government (G2G) mode of e-Government and despite its importance it continues to be a challenge. This paper examines the barriers of SIS amongst Government agencies in Uganda using a literature review on G2G, Information sharing models, Public Administration theories to propose a conceptual framework for study. The study adopted a case study design using a triangulation of both qualitative and quantitative approaches. The study covered 13 Government agencies that are involved in two data sharing collaborations coordinated by the National Statistical Office since 2008. The study population of 70 included IT, Statisticians, data sharing staff that participated in an online survey and 9 key interviews were also done. Correlation and Regression analysis were done using SSPS. The study revealed that 4 major impediments to SIS namely IT compatibility, costs, data standards and top management support with the respective correlation coefficients (R) IT Compatibility = 1.596, Cost =0.529, Data Standards = 0.446, Top Management = 0.443 and Coordination = 0.310 respectively. The research recommended Government to provide standard IT equipment, create a collaborative platform to ease SIS, document and standardize all meta data across the agencies central government should increase funding for SIS related activities and increase of top government support amongst others.
Keywords
government data processing; public administration; regression analysis; G2G adoption; IT compatibility; SSPS; Uganda; collaborative platform; correlation analysis; e-government; government agency; government-to-government mode; interagency statistical information sharing; public administration; regression analysis; Biological system modeling; Electronic government; Information management; Law; Standards; Costs; Data standards; E-government; G2G; IT compatibility; Impediments; Interagency; Interorganisational; Statistical Information sharing; Top Management Support; legal and policy framework;
fLanguage
English
Publisher
ieee
Conference_Titel
IST-Africa Conference Proceedings, 2014
Conference_Location
Le Meridien Ile Maurice
Print_ISBN
978-1-905824-43-4
Type
conf
DOI
10.1109/ISTAFRICA.2014.6880640
Filename
6880640
Link To Document