Modelo estrutural de governança da informação para bancos
Barra lateral de artigos
Conteúdo do artigo principal
Resumo
A indústria bancária é reconhecida por ser uma das que mais investem em tecnologia da informação (TI) no Brasil e no mundo, por possuir processos de negócios bem definidos e por ser dinâmica na adoção de novas tecnologias e processos. Nesse contexto, com os dados provenientes de uma pesquisa survey, realizada com os executivos de TI de bancos que atuam no Brasil, foi testado um modelo de regressão estrutural de governança da informação (GI). O objetivo do trabalho é validar um modelo de GI para os bancos. Os resultados permitiram concluir que, na percepção dos executivos de TI que participaram da pesquisa, os fatores da GI – políticas, sistemas (SI/TI) e estrutura – têm efeitos diretos e indiretos sobre o valor.
Downloads
Métricas
Detalhes do artigo
A RAE compromete-se a contribuir com a proteção dos direitos intelectuais do autor. Nesse sentido:
- adota a licença Creative Commoms BY (CC-BY) em todos os textos que publica, exceto quando houver indicação de específicos detentores dos direitos autorais e patrimoniais;
- adota software de detecção de similaridades;
- adota ações de combate ao plagio e má conduta ética, alinhada às diretrizes do Committee on Publication Ethics (COPE)
Referências
Bagozzi, R. P., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science, 40(1), 8-34. doi:10.1007/s11747-011-0278-x
Banco Central do Brasil. (2013). 50 maiores bancos e o consolidado do sistema financeiro nacional. Recuperado de http://www4.bcb.gov.br/top50/port/top50.asp
Beath, C., Becerra-Fernandez, I., Ross, J., & Short, J. (2012, June). Finding value in the information explosion. MIT Sloan Management Review. Recuperado de http://sloanreview.mit.edu/
Beccalli, E. (2007). Does IT investment improve bank performance? Evidence from Europe. Journal of Banking & Finance, 31(7), 2205- 2230. doi:10.1016/j.jbankfin.2006.10.022
Blunch, N. J. (2008). Introduction to structural equation modelling using SPSS and AMOS. Thousand Oaks, EUA: Sage.
Booth, A., Papaioannou, D., & Sutton, A. (2012). Systematic approaches to a successful literature review. London, Reino Unido: Sage Publications.
Brown, T. A., & Moore, M. T. (2012). Confirmatory factor analysis. In R. H. Hoyle, Handbook of structural equation modeling (pp. 361-379). New York, EUA: Guilford.
Brynjolfsson, E., & Hitt, L. (1996). Paradox lost? Firm-level evidence on the returns to information systems spending. Management Science, 42(4), 541-558. doi:10.1287/mnsc.42.4.541
Campo, S., Rubio, N., & Yagüe, M. J. (2010). Information technology use and firm’s perceived performance in supply chain management. Journal of Business-to-Business Marketing, 17(4), 336-364. doi:10.1080/10517120903574649
Claver-Cortés, E., Pertusa-Ortega, E. M., & Molina-Azorín, J. F. (2012). Characteristics of organizational structure relating to hybrid competitive strategy: Implications for performance. Journal of Business Research, 65(7), 993-1002. doi:10.1016/j. jbusres.2011.04.012
Dess, G. G., & Robinson, R. B. (1984). Measuring organizational performance in the absence of objective measures: The case of the privately-hel firm and conglomerate business unit. Strategic Management Journal, 5(3), 265-273. doi:10.1002/smj.4250050306
Donaldson, A., & Walker, P. (2004). Information governance: A view from the NHS. International Journal of Medical Informatics, 73(3), 281-284. doi:10.1016/j.ijmedinf.2003.11.009
Falk, M. (2005). ICT-linked firm reorganization and productivity gains. Technovation, 25(11), 1229-1250. doi:10.1016/j. technovation.2004.07.004
Faria, F. A., & Maçada, A. C. G. (2011). Impacto dos investimentos em TI no resultado operacional dos bancos brasileiros. RAE-Revista de Administração de Empresas, 51(5), 440-457. doi:10.1590/S0034- 75902011000500003
Faria, F. A., Maçada, A. C. G., & Kumar, K. (2013). Information governance in the banking industry. Proceedings of the 46th Hawaii International Conference on System Sciences (HICSS), Hawaii, EUA.
Faria, F. A., & Sympson, G. (2013). Bridging the gap between business and IT: An information governance perspective in the banking industry. In N. Bhansali, Data governance: Creating vaue from information assets (pp. 217-241). Boca Raton, USA: Taylor & Francis.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. doi:10.2307/3151312
Grembergen, W. Van, & Haes, S. (2009). Enterprise governance of information technology. New York, EUA: Springer.
Hartono, E., Li, X., Na, K. S., & Simpson, J. T. (2010). The role of the quality of shared information in interorganizational systems use. International Journal of Information Management, 30(5), 399-407. doi:10.1016/j.ijinfomgt.2010.02.007
Hill, D. G. (2008). Information governance is a necessity. ON Magazine, (3), 32-34. Recuperado de https://www.emc.com/collateral/ magazine/on-mag-3-2008-interactive.pdf
Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6(1), 53-60.
Hoyle, R. H. (2012). Introduction and overview. In Hoyle, R. H., Handbook of structural equation modeling (pp. 3-16). New York, EUA: Guilford.
International Data Corporation. (2014). The digital universe of opportunities: Rich data and the increasing value of the internet of things. Recuperado de http://brazil.emc.com/leadership/digitaluniverse/2014iview/executive-summary.htm
Jarvis, C. B., Mackenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(2), 199-218. doi:10.1086/376806
Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). New York, EUA: Guilford.
Kline, R. B. (2012). Assumptions in structural equation modeling. In R. H. Hoyle, Handbook of structural equation modeling (pp. 111-125). New York, EUA: Guilford.
Kooper, M. N., Maes, R., & Lindgreen, R. (2011). On the governance of information: Introducing a new concept of governance to support the management of information. International Journal of Information Management, 31(3), 195-200. doi:10.1016/j.ijinfomgt.2010.05.009
Koufteros, X. (1999). Testing a model of pull production: A paradigm for manufacturing research using structural equation modeling. Journal of Operations Management, 17(4), 467-488. doi:10.1016/S0272- 6963(99)00002-9
Koufteros, X., Babbar, S., & Kaighobadi, M. (2009). A paradigm for examining second-order factor models employing structural equation modeling. International Journal of Production Economics, 120(2), 633-652. doi:10.1016/j.ijpe.2009.04.010
Lajara, T. T., & Maçada, A. C. G. (2013, August). Information governance framework: The defense manufacturing case study. Proceedings of the Nineteenth Americas Conference on Information Systems (AMCIS), Chicago, EUA.
Lamberti, H. J., & Büger, M. (2009). Lessons learned: 50 years of information technology in the banking industry – The example of Deutsche Bank AG. Business & Information Systems Engineering, 1(1), 26-36. doi:10.1007/s12599-008-0033-0
Nakata, C., Zhu, Z., & Kraimer, M. L. (2008). The complex contribution of information technology capability to business performance. Journal of Managerial Issues, 20(4), 485-506.
Pathan, S., & Faff, R. (2012). Does board structure in banks really affect their performance? Journal of Banking & Finance, 37(5), 1573-1589. doi:10.1016/j.jbankfin.2012.12.016
Prajogo, D., & Olhager, J. (2012). Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration. International Journal Production Economics, 135(1), 514-522. doi:10.1016/j. ijpe.2011.09.001
Qrunfleh, S., & Tarafdar, M. (2012). Supply chain information systems strategy: Impacts on supply chain performance and firm performance. International Journal of Production Economics, 147(Part B), 340-350. doi:10.1016/j.ijpe.2012.09.018
Raykov, T., & Marcoulides, G. A. (2006). A first course in structural equation modeling (2nd ed.). New Jersey, EUA: Taylor & Francis.
Samuelson, K. (2010). Information governance isn’t so bad after all. 2010. Recuperado de http://www.cioupdate.com/insights/article. php/11049_3889396_2/Information-Governance-isnt-so-Bad-AfterAll.htm
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23-74.
Smallwood, R. F. (2011). Information governance fundamentals, best practices & implementation issues. Recuperado de http://www.electronic-records-management.com/report_pages/Preview/Information-Governance-PRIMER2-March-2011-preview.pdf
Smallwood, R. F. (2014). Information governance: Concepts, strategies and best practices. New Jersey, EUA: John Wiley & Sons.
Soares, S. (2011). Selling information governance to the business: Best practices by industry and job function. Ketchum, EUA: MC Press.
Štemberger, M. I., Manfreda, A., & Kovačič, A. (2011). Achieving top management support with business knowledge and role of IT/IS personnel. International Journal of Information Management, 31(5), 428-436. doi:10.1016/j.ijinfomgt.2011.01.001
Tallon, P. P. (2007). Does IT pay to focus? An analysis of IT business value under single and multi-focused business strategies. Journal of Strategic Information Systems, 16(3), 278-300. doi:10.1016/j. jsis.2007.04.001
Tallon, P. P., Kraemer, K. L., & Gurbaxani, V. (2000). Executives’ perceptions of the business value of information technology: A process-oriented approach. Journal of Management Information Systems, 16(4), 145-173. doi:10.1080/07421222.2000.11518269
Tallon, P. P., Ramirez, R. V., & Short, J. E. (2013). The information artifact in IT governance: Toward a theory of information governance. Journal of Management Information Systems, 30(3), 141-178. doi:10.2753/ mis0742-1222300306
The Economist. (2008). The future of enterprise information governance. The Economist Intelligence Unit. Recuperado de http://viewswire.eiu.com/report_dl.asp?mode=fi&fi=1643883749.PDF
Weill, P., & Ross, J. (2004). IT governance: How top performers manage IT decision rights for superior results. Boston, EUA: Harvard Business School Press.
West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. In R. H. Hoyle, Handbook of structural equation modeling (pp. 209-231). New York, EUA: Guilford.
Weston R., & Gore, P. A., Jr. (2006). A brief guide to structural equation modeling. The Counseling Psychologist, 34(5), 719-751. doi:10.1177/0011000006286345
