Resumo

Título do Artigo

INFORMATION SYSTEMS INSTITUTIONALIZATION IMPACT ON THE INTENTION TO COMMIT CORRUPTION IN BRAZILIAN PUBLIC HEALTH ORGANIZATIONS
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Palavras Chave

Institutionalization
Vulnerabilities to corruption
Public Organizations

Área

Administração Pública

Tema

Gestão em Saúde

Autores

Nome
1 - ODIRLEI ANTONIO MAGNAGNAGNO
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SUL (PUCRS) - Escola de Negócios
2 - Edimara Mezzomo Luciano
PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO GRANDE DO SUL (PUCRS) - Programa de Pós-Graduação em Administração
3 - Guilherme Costa Wiedenhöft
UNIVERSIDADE FEDERAL DO RIO GRANDE (FURG) - Instituto de Ciências Econômicas, Administrativas e Contábeis

Reumo

Corruption is a major problem that occurs in all countries, whatever their political, economic or legal system, although the intensity and scale may differ (Brol, 2016). Its consequences affect bureaucratic policies, complicate regulations and procedures and, above all, waste economic resources. One of the main consequences of corruption is that it can slow a country’s growth either due to lack of investment or to financial misappropriation, further affecting the population and accentuating poverty and low economic development (Habib & Zurawicki, 2002)
The lack of controls in organizations can be a vulnerability to corruption, and process and information digitalization can reduce it. The objective of this article is to verify the relationship among Management Information Systems (MIS) institutionalization, corruption vulnerabilities and the intention to commit acts of corruption. Qualitative and quantitative data were collected.
In the present article corruption is conceived as acts in which the power of public officials is used for personal gain in a way that violates the rules in force (Jain, 2001). Ionescu (2016) demonstrates that the smaller the amount of manual labor, the lower the level of corruption, and concluded that wider dissemination of information can decrease corruption. Increasingly, ICTs and information are being used to support management through information systems, due to the emergence of new paradigms resulting from the progress of ICT.
Qualitative and quantitative data were collected. A systematic review of the literature was the basis to create a model. A pre-test involving eight experts was followed by a pilot test with 87 responses and a survey. Using a printed questionnaire, the survey was conducted with the health department staff of municipalities in the State of Paraná, Brazil, and the result was 355 valid cases.
SmartPLS® software was used in the structural equation modelling with partial least squares estimation (PLS-SEM). The relationships between the constructs and their indicators of Composite Confidence, Average Variance Extracted (AVE) and Discriminant Validity were analyzed. Convergent validity was performed to check the AVE and the discriminant validity, using Cross Loading. Additionally, the Fornell and Larcker criterion was used to compare the loads to the squared values of the Average Variances Extracted (AVE) for each factor. Pearson’s determination coefficients (R2) were noted.
As part of the result, the vulnerabilities to corruption in Brazilian public organizations were identified and categorized. The article also highlighted the relationship of the institutionalization of MIS with the intention to commit acts of corruption in Public Organizations. The tests carried out show this relationship exists, that is, MIS, when institutionalized, reduce the individual’s intention to commit acts of corruption.
Brol, M. (2016). Institutional Determinants of Corruption. Ekonomia i Prawo, 15(1), 21. Habib, M., & Zurawicki, L. (2002). Corruption and Foreign Direct Investment. Journal of International Business Studies, 33(No. 2 (2nd Qtr., 2002)), 291–307. Ionescu, L. (2016). E-GOVERNMENT AND SOCIAL MEDIA AS EFFECTIVE TOOLS IN CONTROLLING CORRUPTION IN PUBLIC ADMINISTRATION. Economics, Management and Financial Markets, 11(1), 66–72. Jain, A. K. (2001). Corruption: A Review. Journal of Economic Surveys, 15(1), 71–121.