Assessing information technology (it) value in the public sector. a study between argentina and brazil in the federal justice service

Authors

DOI:

https://doi.org/10.52292/j.eca.2021.2712

Keywords:

information technology , public sector , justice service

Abstract

Based on task-technology fit theory and public value theory, this paper provides a model to assess the value of Information Technology (IT) in the public sector, from the perspective of internal users. The model was tested by analyzing the perception of a group of employees of the federal justice service in Argentina and Brazil. A mixed method approach was chosen, with two successive research stages (qualitative and quantitative) and primary sources of evidence (interviews, observation, key informants, card sorting and surveys).
The qualitative study provided the questionnaire to be applied in the quantitative stage of the research. The four propositions of the research model were re-written as hypotheses and were statistically confirmed, using partial least squares structural equations modelling (PLS-SEM). The research contributes to academia by proposing a model to evaluate IT value in public organizations and a specific area of application, such as the justice service. The effectiveness of two Court Records Management Systems was examined, thus showing how IT implementations in developing countries can be evaluated. The practical value of this research is based on clarifying how IT impacts on the performance of public employees and the quality of public service.

Downloads

Download data is not yet available.

References

Andrade, A., & Joia, L. A. (2012). Organizational structure and ICT strategies in the Brazilian Judiciary System. Government Information Quarterly, 29(SUPPL. 1), S32-S42. https://doi.org/10.1016/j.giq.2011.08.003

Barbosa, A. F., Pozzebon, M., & Diniz, E. H. (2013). Rethinking E-government performance assessment from a citizen perspective. Public Administration, 91(3), 744–762. https://doi.org/10.1111/j.1467-9299.2012.02095.x

Barua, A., Kriebel, C. H., & Mukhopadhyay, T. (1995). Information technologies and business value: An analytic and empirical investigation. Information Systems Research, 6(1), 3-23. https://doi.org/10.1287/isre.6.1.3

Belanger, F., & Carter, L. (2012). Digitizing Government Interactions with Constituents: An Historical Review of E-Government Research in Information Systems. Journal of the Association for Information Systems, 13(5), 363-394. Retrieved from http://aisel.aisnet.org/jais/vol13/iss5/1

Bharati, P., & Berg, D. (2003). Managing information systems for service quality: A study from the other side. Information Technology & People, 16(2), 183-202. https://doi.org/10.1108/09593840310478685

Burton-Jones, A., & Grange, C. (2013). From Use to Effective Use: A Representation Theory Perspective. Information Systems Research, 24(3), 632-658. https://doi.org/10.1287/isre.1120.0444

Burton-Jones, A., & Straub, D. W. (2006). Reconceptualizing System Usage: An Approach and Empirical Test. Information Systems Research, 17(3), 228-246. https://doi.org/10.1287/isre.1060.0096

Busetti, S., & Vecchi, G. (2018). Process tracing change management: the reform of the Italian judiciary. International Journal of Public Sector Management, 31(5), 566-582. https://doi.org/10.1108/IJPSM-06-2017-0158

Carter, M., & Grover, V. (2015). Me, My Self, and I(T): Conceptualizing Information Technology Identity and Its Implications. MIS Quarterly, 39(4), 931–957.

Czepiel, J. A., Solomon, M. R., & Surprenant, C. F. (1985). The Service Encounter, Managing Employee/ Customer Interaction in Service Businesses. Lexington, MA: Lexington Books.

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748

Eisenhardt, K. M. (1989). Building Theories from Case Study Research. Academy of Management Review, 14(4), 532-550. https://doi.org/10.5465/amr.1989.4308385

Elena, S., & van Schalkwyk, F. (2017). Open Data for Open Justice in Seven Latin American Countries. In Achieving Open Justice through Citizen Participation and Transparency (Vol. i, pp. 210-231). https://doi.org/10.4018/978-1-5225-0717-8.ch011

Gomes, A. O., Alves, S. T., & Silva, J. T. (2018). Effects of investment in information and communication technologies on productivity of courts in Brazil. Government Information Quarterly, 35(3), 480-490. https://doi.org/10.1016/j.giq.2018.06.002

Goodhue, D. L. (1995). Understanding User Evaluations of Information Systems. Management Science, 41(12), 1827-1844. https://doi.org/10.1287/mnsc.41.12.1827

Goodhue, D. L., & Thompson, R. L. (1995). Task-Technology Fit and Individual Performance. MIS Quarterly, 19(2), 213-236. https://doi.org/10.2307/249689

Guimarães, T. de A., Odelius, C. C., Medeiros, J. J., & Vargas Santana, J. A. (2011). Management Innovation at the Brazilian Superior Tribunal of Justice. The American Review of Public Administration, 41(3), 297-312. https://doi.org/10.1177/0275074010380449

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Thousand Oaks, California: SAGE Publications, Inc.

Hays, J. M., & Hill, A. V. (2006). Service Guarantee Strength: The key to service quality. Journal of Operations Management, 24(6), 753-764. https://doi.org/10.1016/j.jom.2005.08.003

Heskett, J. L., Jones, T. O., Loveman, G. W., Sasser, W. E., & Schlesinger, L. A. (1994). Putting the service-profit chain to work. Harvard Business Review, 164-174.

Hsieh, J. J. P.-A., Rai, A., Petter, S., & Zhang, T. (2012). Impact of user satisfaction with mandated crm use on employee service quality. MIS Quarterly, 36(4), 1065-1080.

Joia, L. A. (2008). The impact of government-to-government endeavors on the intellectual capital of public organizations. Government Information Quarterly, 25(2), 256-277. https://doi.org/10.1016/j.giq.2007.06.004

Kearns, I. (2004). Public value and e-government. Institute for Public Policy Research. London: Institute for Public Policy Research. Retrieved from http://www.centreforcities.org/assets/files/pdfs/public_value_egovernment.pdf

Kim, D., & Ammeter, T. (2014). Predicting personal information system adoption using an integrated diffusion model. Information and Management, 51(4), 451-464. https://doi.org/10.1016/j.im.2014.02.011

Kositanurit, B., Ngwenyama, O., & Osei-Bryson, K.-M. (2006). An exploration of factors that impact individual performance in an ERP environment: an analysis using multiple analytical techniques. European Journal of Information Systems, 15(6), 556-568. https://doi.org/10.1057/palgrave.ejis.3000654

Kraemer, K. L., Danziger, J. N., Dunkle, D. E., & King, J. L. (1993). The Usefulness of Computer-Based Information to Public Managers. MIS Quarterly, 17(2), 129. https://doi.org/10.2307/249798

Kumar, R., Sachan, A., & Mukherjee, A. (2017). Qualitative approach to determine user experience of e-government services. Computers in Human Behavior, 71, 299-306. https://doi.org/10.1016/j.chb.2017.02.023

Luarn, P., & Huang, K.-L. (2009). Factors Influencing Government Employee Performance via Information Systems Use: an Empirical Study. Electronic Journal of E-Government, 7(3), 227-240. Retrieved from http://web.b.ebscohost.com/abstract?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=1479439X&AN=47435128&h=UNFktf5Kat81MgoTfscGax+2qb6UHkIFZZ3L4q4z9cWKKufr9E8tYKqM2wV22v6r+TadRVoP7Ejr1qgE2ElncA==&crl=c&resultNs=AdminWebAuth&resultLocal=

Luzuriaga, J. M., & Cechich, A. (2011). Electronic notification of court documents. In Proceedings of the 5th International Conference on Theory and Practice of Electronic Governance - ICEGOV ’11 (p. 45). New York, New York, USA: ACM Press. https://doi.org/10.1145/2072069.2072077

Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2(3), 192-222. https://doi.org/10.1287/isre.2.3.192

Moore, M. H. (1995). Creating Public Value: Strategic Management in Government. Harvard University Press. Retrieved from https://books.google.com.ar/books?id=Hm9uKVj0qDYC

Muslimin, I., Hadi, S. P., & Nugroho, E. (2017). An Evaluation Model Using Perceived User Technology Organization Fit Variable for Evaluating the Success of Information Systems. Scientific Journal of Informatics, 4(2), 86-94.

Myers, M. D. (1997). Qualitative Research in Information Systems. MIS Quarterly, 21(2), 241–242. Retrieved from http://www.misq.org/skin/frontend/default/misq/MISQD_isworld/ index.html

Nahm, A. Y., Rao, S. S., Solis-Galvan, L. E., & Ragu-Nathan, T. S. (2002). The Q-Sort Method: Assessing Reliability And Construct Validity Of Questionnaire Items At A Pre-Testing Stage. Journal of Modern Applied Statistical Methods, 1(1), 114-125. https://doi.org/10.22237/jmasm/1020255360

Nieves, J., & Osorio, J. (2019). Using information technology to achieve management innovation. Academia Revista Latinoamericana de Administración, 32(1), 20-39. https://doi.org/10.1108/ARLA-02-2016-0037

Pang, M.-S., Lee, G., & DeLone, W. H. (2014). In public sector organisations: a public-value management perspective. Journal of Information Technology, 29(3), 187-205. https://doi.org/http://dx.doi.org/10.1057/jit.2014.2

Procopiuck, M. (2018). Information technology and time of judgment in specialized courts: What is the impact of changing from physical to electronic processing? Government Information Quarterly, 35(3), 491-501. https://doi.org/10.1016/j.giq.2018.03.005

Raine, J. W. (2000). Modernising courts or courting modernisation? International Journal of Public Sector Management, 13(5), 390-416. https://doi.org/10.1108/09513550010350788

Sandoval-Almazan, R., & Gil-Garcia, J. R. (2018). Understanding e-Justice and Open Justice Through the Assessment of Judicial Websites. Social Science Computer Review, (100), 089443931878595. https://doi.org/10.1177/0894439318785957

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial Least Squares Structural Equation Modeling. In Handbook of Market Research (pp. 1-40). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-05542-8_15-1

Serrano, C., & Karahanna, E. (2016). The Compensatory Interaction Between User Capabilities and Technology Capabilities in Influencing Task Performance: An Empirical Assessment in Telemedicine Consultations. MIS Quarterly, 40(3), 597-621.

Silva, R. A. F., Guimarães, T. de A., & Sousa, M. M. (2019). What judges think about the meaning of their work. International Journal for Court Administration, 10(1), 59. https://doi.org/10.18352/ijca.258

Sousa, M. de M., & Guimarães, T. de A. (2017). The adoption of innovations in Brazilian labour courts from the perspective of judges and court managers. Revista de Administração, 52(1), 103-113. https://doi.org/10.1016/j.rausp.2016.09.008

Stake, R. E. (2005). Qualitative Case Studies. In N. K. Denzin & Y. S. Lincoln (Eds.), The Sage Handbook of Qualitative Research (pp. 443-466). Thousand Oaks, CA: Sage Publications Ltd.

Sun, H., Fang, Y., & Zou, H. (Melody). (2016). Choosing a Fit Technology: Understanding Mindfulness in Technology Adoption and Continuance. Journal of the Association for Information Systems, 17(6), 377-412. Retrieved from http://aisel.aisnet.org/jais/vol17/iss6/2

Torkzadeh, G., & Doll, W. J. (1999). The development of a tool for measuring the perceived impact of information technology on work. Omega, 27(3), 327-339. https://doi.org/10.1016/S0305-0483(98)00049-8

Velicogna, M., Steigenga, E., Taal, S., & Schmidt, A. (2020). Connecting EU Jurisdictions: Exploring How to Open Justice Across Member States Through ICT. Social Science Computer Review, 38(3), 274–294. https://doi.org/10.1177/0894439318786949

Venkatesh, V., Brown, S. A., & Bala, H. (2013). Bridging the qualitative–quantitative divide: guidelines for conducting mixed methods research in information systems. MIS Quarterly, 37(3), 855-879.

Venkatesh, V., Brown, S., & Sullivan, Y. (2016). Guidelines for Conducting Mixed-methods Research: An Extension and Illustration. Journal of the Association for Information Systems, 17(7), 435-494. Retrieved from http://aisel.aisnet.org/jais/vol17/iss7/2

Venkatesh, V., Thong, J., & Xu, X. (2016). Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead. Journal of the Association for Information Systems, 17(5). Retrieved from http://aisel.aisnet.org/jais/vol17/iss5/1

Yin, R. K. (2001). Estudo de caso: planejamento e métodos (2a). Porto Alegre: Bookman.

Published

2021-12-28

How to Cite

Arias, M. I. (2021). Assessing information technology (it) value in the public sector. a study between argentina and brazil in the federal justice service. Escritos Contables Y De Administración, 12(2), 4–26. https://doi.org/10.52292/j.eca.2021.2712

Issue

Section

Summaries of postgraduate theses