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

12 pages•Published: October 25, 2019

Hosiah Masha, Dr Tope Samuel Adeyelure and Osden Jokonya

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

Keyphrases: business intelligence, data warehouse, social sector

In: Kennedy Njenga (editor). Proceedings of 4th International Conference on the Internet, Cyber Security and Information Systems 2019, vol 12, pages 157-168.

Links:	https://easychair.org/publications/paper/fpmg
	https://doi.org/10.29007/kqhq

BibTeX entry

@inproceedings{ICICIS2019:Adoption_Business_Intelligence_South,
  author    = {Hosiah Masha and Dr Tope Samuel Adeyelure and Osden Jokonya},
  title     = {Adoption of Business Intelligence in the South African public social sector Department},
  booktitle = {Proceedings of 4th  International Conference on the Internet, Cyber Security and Information Systems 2019},
  editor    = {Kennedy Njenga},
  series    = {Kalpa Publications in Computing},
  volume    = {12},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {/publications/paper/fpmg},
  doi       = {10.29007/kqhq},
  pages     = {157-168},
  year      = {2019}}

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