Innovations in courts: Validation of a scale of technological innovation

Author:

Barbosa Kennedy de AraújoORCID,Sousa Marcos de MoraesORCID,Nacife Jean MarcORCID,Novak Sergio SouzaORCID

Abstract

The development of studies on technological innovations in the public sector, specifically in justice system, is still little explored in the literature. This article aimed to develop and validate a scale of technological innovation in the justice system during the period of the COVID-19 pandemic. Data collection procedures were carried out by means of questionnaires sent to 20.727 e-mails of civil servants and judges of the state courts of justice in Brazil. The relationships among the innovation variables that make up the technological innovation construct in the Brazilian judiciary were studied. The factor analyses resulted in the main factors listed by the respondents, as the innovative trend factor (IT); technological resources factor (TR); governance factor and its evidence (G); and innovation and technology factor (IT). For responses to the studies, descriptive statistical analysis was performed, and the innovative sensitivity and technological integration variables presented greater commonalities, and the two factors extracted explain 74% and 67% of the variance. After the descriptive statistical treatment, the confidence level was 99% and the error margin was 4.87%, resulting in a sample of 679 respondents.

Publisher

South Florida Publishing LLC

Subject

Materials Science (miscellaneous)

Reference107 articles.

1. Almarzooq, Z. I., Lopes, M., & Kochar, A. (2020). Virtual learning during the COVID-19 pandemic: a disruptive technology in graduate medical education. Journal of the American College of Cardiology, 75(20), 2635-2638.

2. Akutsu, L., Correia, P. M., Gomes, A. D. O., Guimarães, T. D. A., Bilhim, J. D., & Emmendeorfer, M. (2017). Validity Evidence of Judicial Governance Constructs in Brazilian and Portuguese Courts. Public Organizations, Innovations and Development Politics, 1.

3. Ali, A., Khedhiri, E., Talmoudi, R., & Taleb, H. (2021). Monitoring multinomial processes based on a weighted chi-square control chart. Gestão & Produção, 28.

4. Álvarez, R. E. C., Vargas-Hernández, J. G., Ibarra, G. N. F., & López, M. E. S. (2013). Entrepreneurial Abilities Development at Universities: The Case of Polytechnic University of Zacatecas, Mexico. International Journal of Management, Knowledge and Learning, 2(2), 243-254.

5. Amin, M. S., Chiam, Y. K., & Varathan, K. D. (2019). Identification of significant features and data mining techniques in predicting heart disease. Telematics and Informatics, 36, 82-93.

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