Adoption of Business Intelligence in the South African public social sector Department

Hosiah Masha, T. Adeyelure, Osden Jokonya
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Abstract

Social Sector department is expected to transform socio economic stands of the poor through technology by digitising service delivery processes in order to enhance decision making, however this has created lot of silo systems with large volumes of data to be manipulated and used. Business Intelligence is seen as supporting technology required to deal with the problem but the sector does not have a model or a framework to adopt the technology. Hence this study intended to develop a model for adoption of Business Intelligence in the South African public social sector Department. Two theoretical frameworks that is Implementation Effectiveness Theoretical Model and Technology Organisation Environment were employed to guide the study by following quantitative method. A survey was used to collect data at government department by means of closed-ended questionnaires, through simple random sampling to produce the results. To measure the relationship between dependent and independent variables data was coded into Statistical Package for Social Science (SPSS) tool for correlations analysis, then conducted regression analysis for constructs contributions. The results show that only three out of the six identified constructs from the research model were accepted to formulate the adoption model. Most previous work done in adoption of BI in public sector has focussed on broader public domain which creates a huge gap in addressing specific requirements or factors influencing adoption of BI in a particular sector. To reduce vagueness and complexity this study investigated factors influencing adoption of BI in South African public social sector Department
商业智能在南非公共社会部门的应用
社会部门部门有望通过数字化服务提供流程,通过技术改变穷人的社会经济地位,以加强决策,然而,这创造了许多孤岛系统,其中有大量数据需要操纵和使用。商业智能被视为处理问题所需的支持技术,但该部门没有采用该技术的模型或框架。因此,本研究旨在为南非公共社会部门采用商业智能开发一个模型。采用实施有效性理论模型和技术组织环境两个理论框架指导研究,并采用定量方法。在政府部门采用封闭式问卷调查的方式收集数据,通过简单的随机抽样得出结果。为了衡量因变量和自变量之间的关系,将数据编码到社会科学统计软件包(SPSS)工具中进行相关性分析,然后对结构贡献进行回归分析。结果表明,从研究模型中识别出的六个构式中,只有三个构式被接受来制定采用模型。以前在公共部门采用BI方面所做的大多数工作都集中在更广泛的公共领域,这在解决特定部门中影响BI采用的特定需求或因素方面造成了巨大的差距。为了减少模糊性和复杂性,本研究调查了影响南非公共社会部门采用商业智能的因素
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