APPLICATION OF BUSINESS INTELLIGENCE IN THE PUBLIC SECTOR

Authors

DOI:

https://doi.org/10.47820/recima21.v3i8.1828

Keywords:

Business Intelligence, Public Institution, Public Segment, Public sector

Abstract

The present study presents a systematic review of the literature on business intelligence (BI) in public sector management, with the main objective of identifying applications and contributions in the context of approach. The research was carried out in the Scopus database and analyzed 14 articles selected based on adherence to the proposal. The study identifies that, despite the significant increase in the rate of BI implementation in the public sector, the failures in its implementation are equally significant. The definition, evaluation, qualification and selection phases reveal themselves to be mechanisms to overcome the challenges in implementing BI and generate greater success. Generating, collecting, analyzing and systematically reusing data can optimize resources to meet constantly growing social demands, improving processes and implementing new products and services. BI presents itself as a strategic tool for public organizations, which seek to visualize and monitor processes, and simulate future scenarios for more assertive decision-making. As a recommendation for future work, the study guides empirical investigations on the possibilities of BI applications in different contexts of the Brazilian public sector, in order to broaden academic discussions and present its benefits to public managers and society.

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Author Biographies

João Gonçalves Pereira

  Server at the Coordination of Technological Innovation (COINT) of the Federal Institute of Education, Sciences and Technology of Rio Grande do Sul (IFSul), Master in Intellectual Property and Technology Transfer for Innovation from the Federal University of Santa Catarina, MBA in Business Management and People Management from FGV and Anhanguera Educacional respectively and Graduated in Business Administration from Centro Unileste/MG.

Leani Lauermann Koch

Internal controller of the Municipal Legislature of Guatambu – SC; Master in Accounting Sciences and Administration from the Regional Community University of Chapecó; Specialist in Public Management and Professional Education Integrated to Basic Education in the Youth and Adult Education Modality by the Federal Institute of Santa Catarina; Specialist in Mathematics and Physics from the Faculties of Applied Social Sciences (FACISA); Graduated in Public Administration from the Federal University of Santa Catarina (UFSC); Degree in Mathematics from the Regional Community University of Chapecó.

Micheline Guerreiro Krause

Substitute Professor at the Federal Institute of Santa Catarina (IFSC), Post-Doctoral candidate, Doctor and Master in Engineering and Knowledge Management from the Federal University of Santa Catarina (UFSC), Post-Graduate in Marketing from ESPM/RJ; Graduated in Social Communication - Public Relations from Universidade Estácio de Sá/RJ.

Gertrudes Aparecida Dandolini

Full Professor at the Federal University of Santa Catarina (UFSC). Doctor and Master in Production Engineering and degree in Mathematics, all from the Federal University of Santa Catarina.

João Artur de Souza

Full Professor at the Federal University of Santa Catarina (UFSC, PhD and Post-Doctorate in Production Engineering, Master's in Mathematics and Scientific Computing and Graduation in Mathematics (Licentiate) all from UFSC, and Graduation in Law from UNISUL.

References

ABAI, N. H. Z. et al. Integrating Business intelligence and analytics in managing public sector performance: An empirical study. International Journal on Advanced Science, Engineering and Information Technology, v. 9, n. 1, p. 172–180, 2019.

ABAI, N. H. Z.; YAHAYA, J. H.; DERAMAN, A. The determinants of integrated business intelligence and analytics in organisational performance process. 2017 6th International Conference on Electrical Engineering and Informatics (ICEEI). Anais...IEEE, nov. 2017. Disponível em: <http://ieeexplore.ieee.org/document/8312452/>

BAUR, A. W. Harnessing the social web to enhance insights into people’s opinions in business, government and public administration. Information Systems Frontiers, v. 19, n. 2, p. 231–251, 27 abr. 2017.

CHERINKA, R.; PREZZAMA, J.; EDWARDS, D. From business intelligence to augmented analytics, how organizations cope with the big data influx. WMSCI 2019 - 23rd World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings. Anais...2019

COGNINI, R. et al. Five factors that make pervasive business intelligence a winning wager. IEEE International Conference on Industrial Engineering and Engineering Management. Anais...2014

DA COSTA NETO, L. G.; CAMPOS, F. C. DE. Oportunidades de aplicações de business intelligence no contexto da indústria 4.0: Revisão sistemática da literatura 2015-2020. Exacta, 30 jun. 2021.

ELBASHIR, M. Z. et al. Leveraging business intelligence systems to enhance management control and business process performance in the public sector. Meditari Accountancy Research, 23 nov. 2021.

LAGE, L.; VITERBO, J.; BOSCARIOLI, C. Applying an open source software assessment model to select BI tools in public organizations | Aplicando um modelo de avaliação de software open source para a seleção de ferramentas de BI em organizações públicas. ACM International Conference Proceeding Series. Anais...2018

NASAB, S. S. et al. Critical success factors for business intelligence system implementation in public sector organisation. International Journal of Information Systems and Change Management, v. 9, n. 1, p. 22–43, 2017.

RAMOS, J.; ALTURAS, B.; MORO, S. Business intelligence in a public institution - Evaluation of a financial data mart | Business Intelligence num Organismo Público - Avaliação de um Data Mart Financeiro. Iberian Conference on Information Systems and Technologies, CISTI. Anais...2017

REIM, W.; PARIDA, V.; ÖRTQVIST, D. Product–Service Systems (PSS) business models and tactics – a systematic literature review. Journal of Cleaner Production, v. 97, p. 61–75, jun. 2015.

SAPP, C. E.; MAZZUCHI, T.; SARKANI, S. Rationalising business intelligence systems and explicit knowledge objects:Improving evidence-based management in government programs. Journal of Information and Knowledge Management, v. 13, n. 2, 2014.

SANTOS, J. S.; TSUNODA, D. F. Levantamento do Uso de Business Intelligence como Ferramenta de Tomada de Decisão nos Institutos Federais de Educação. Revista Mundi Engenharia, Tecnologia e Gestão. Curitiba, PR, v.2, n.1,34,jan. / jun., 2017. Disponível em: <https://bit.ly/32R2Ygq

SEMETEYS, R. Method for Qualification and Selection of Open Source Software. Open Source Business Resource, (May 2008). Disponível em: <http://timreview.ca/article/146>.

SPANO, A.; BELLÒ, B. Business Intelligence in Public Sector Organizations: A Case Study. In: Lecture Notes in Information Systems and Organisation. [s.l: s.n.]. v. 14p. 133–143.

TARIQ, M.; KHAN, A.; MOTLA, K. Leveraging technology and supply chain to improve family planning logistics in pakistan | Mettre à profit la technologie et la chaîne d’approvisionnement pour améliorer la logistique de la planification familiale au pakistan. Eastern Mediterranean Health Journal, v. 27, n. 7, p. 672–678, 2021.

TEIXEIRA, R. et al. Decision Support in E-Government – A Pervasive Business Intelligence Approach. In: [s.l: s.n.]. p. 155–166. 2015.

TORRACO, R. J. Writing Integrative Literature Reviews. Human Resource Development Review, v. 15, n. 4, p. 404–428, 25 dez. 2016.

WHITTEMORE, R.; KNAFL, K. The integrative review: updated methodology. Journal of Advanced Nursing, v. 52, n. 5, p. 546–553, dez. 2005.

YAHAYA, J. et al. The implementation of business intelligence and analytics integration for organizational performance management: A case study in public sector. International Journal of Advanced Computer Science and Applications, v. 10, n. 11, p. 292–299, 2019.

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Published

21/08/2022

How to Cite

Gonçalves Pereira, J., Lauermann Koch, L., Guerreiro Krause, M. ., Aparecida Dandolini, G. ., & Artur de Souza, J. (2022). APPLICATION OF BUSINESS INTELLIGENCE IN THE PUBLIC SECTOR. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, 3(8), e381828. https://doi.org/10.47820/recima21.v3i8.1828

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Vol. 3 No. 8 (2022): EDITORIAL - CLICK HERE TO ACCESS THE ARTICLES

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