Corrupção sob a perspectiva de sistemas complexos: uma revisão sistemática da literatura

Autores

DOI:

https://doi.org/10.38017/1657463X.821

Palavras-chave:

bibliometria, análise de conteúdo, corrupção, sistemas sociais, ciências complexas

Resumo

Os sistemas complexos estão associados a fenômenos que resultam de múltiplas interações e fatores que não são explicáveis nem observáveis a partir de perspectivas tradicionais. Este artigo parte da necessidade de compreender o fenômeno da corrupção no marco de um sistema complexo. Essa necessidade é justificada pela falta de clareza sobre a verdadeira dinâmica da corrupção, suas causas e suas consequências no contexto de um esforço global para combatê-la sem sucesso. Para avançar na superação dessa limitação, o objetivo aqui é identificar os achados e o alcance dos estudos sobre corrupção no âmbito de sistemas complexos. Para isso, realiza-se uma revisão sistemática da literatura que combina a análise bibliométrica com a análise de conteúdo. Por meio da primeira, identificam-se as tendências e seu impacto na publicação acadêmica, enquanto a análise de conteúdo implica uma leitura crítica e objetiva dos textos, com a qual é possível estabelecer metodologias, posicionamentos e avanços de pesquisa. Entre os resultados, verifica-se que existe um elevado número de estudos que abordam o problema da corrupção, procurando principalmente explicar as suas causas e tipologias. No entanto, há uma predominância de abordagens metodológicas reducionistas que não consideram a complexidade do sistema, o que é amplamente explicado pela escassa pesquisa interdisciplinar. Nesse sentido, propõe-se uma agenda que explore novas abordagens analíticas e proporcione melhores aproximações ao paradigma da complexidade.

Biografia do Autor

Milton Samuel Camelo-Rincón, Universidad de La Salle

Doctorando en Estudios de Desarrollo y Territorio

Referências

Albert, R. y Barabási, A. L. (2002). Statistical mechanics of complex networks. Reviews of Modern Physics, 74(1), 47-97. https://doi.org/10.1103/RevModPhys.74.47

Andersson, S. y Heywood, P. M. (2009). The politics of perception: Use and abuse of transparency international’s approach to measuring corruption. Political Studies, 57(4), 746-767. https://doi.org/10.1111/j.1467-9248.2008.00758.x

Ashforth, B. E., Gioia, D. A., Robinson, S. L. y Treviño, L. K. (2008). Re-viewing organizational corruption. Academy of Management Review, 33(3), 670-684. https://doi.org/10.5465/AMR.2008.32465714

Aßländer, M. S. y Hudson, S. (2017). The Handbook of Business and Corruption : CrossSectoral Experiences. Emerald Publishing Limited.

Bahoo, S., Alon, I. y Paltrinieri, A. (2019). Corruption in international business : A review and research agenda. International Business Review, December, 29(4), 101660. https://doi.org/10.1016/j.ibusrev.2019.101660

Berger-vachon, C., Gil Lafuente, A. M., Kacprzyk, J., Kondratenko, Y., Mérigo, J. M. y Francesco Morabito, C. (2018). Complex Systems: Solutions and Challenges in Economics, Management and Engineering (Vol. 125). Springer.

Bertuglia, C. y Vaio, F. (2005). Nonlinearity, Chaos, and Complexity. The Dynamics of Natural and Social Systems. Oxford University Press.

Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences of the United States of America, 99(SUPPL. 3), 7280-7287. https://doi.org/10.1073/pnas.082080899

Calderón, R. y Álvarez-Arce, J. L. (2011). Corruption, complexity and governance: The role of transparency in highly complex systems. Corporate Ownership and Control, 8(3 C), 245-257. https://doi.org/10.22495/cocv8i3c2p1

Clammer, J. (2012). Corruption, Development, Chaos and Social Disorganisation: Sociological reflections on corruption and its social basis. In Corruption: Expanding the Focus (pp. 113-132). https://doi.org/10.22459/cef.09.2012.07

Conte, R., Gilbert, N., Bonelli, G., Cioffi-Revilla, C., Deffuant, G., Kertesz, J., Loreto, V., Moat, S., Nadal, J. P., Sanchez, A., Nowak, A., Flache, A., San Miguel, M. y Helbing, D. (2012). Manifesto of computational social science. European Physical Journal: Special Topics, 214, 325-346. https://doi.org/10.1140/epjst/e2012-01697-8

Costa, L. D. A. y Mainardes, E. W. (2016). The role of corruption and risk aversion in entrepreneurial intentions. Applied Economics Letters, 23(4), 290-293. https://doi.org/10.1080/13504851.2015.1071462

Dávid-Barrett, E. y Fazekas, M. (2020). Grand corruption and government change: an analysis of partisan favoritism in public procurement. European Journal on Criminal Policy and Research, 26(4), 411-430. https://doi.org/10.1007/s10610-019-09416-4

Decarolis, F., Fisman, R., Pinotti, P. y Vannutelli, S. (2021). Rules, Discretion, and Corruption in Procurement: Evidence from Italian Government Contracting. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3753118

Fein, E. y Weibler, J. (2014). Review and shortcomings of literature on corruption in organizations in offering a multi-faceted and integrative understanding of the phenomenon. Behavioral Development Bulletin, 19(3), 67-77. https://doi.org/10.1037/h0100592

Fonoberova, M., Fonoberov, V. A., Mezic, I., Mezic, J. y Brantingham, P. J. (2012). Nonlinear Dynamics of Crime and Violence in Urban Settings An Agent-Based Model of Civil Violence. Journal of Artificial Societies and Social Simulation, 15(2), 1-15.

Gros, C. (2011). Complex and Adaptive Dynamical Systems. Springer. https://doi.org/10.1007/978-3-642-36586-7

Gross, T. y Sayama, H. (2009). Adaptive Networks Theory,Models and Applications. Springer.

Habtemichael, F. y Cloete, F. (2010). Complexity thinking in the fight against corruption: Some perspectives from South Africa. Politikon, 37(1), 85-105. https://doi.org/10.1080/02589346.2010.492151

Harikrishnan, N. B. y Nagaraj, N. (2019). A Novel Chaos Theory Inspired Neuronal Architecture. https://doi.org/10.1109/gcat47503.2019.8978360

Helbing, D. (2010). Systemic risks in society and economics. International Risk Governance Council, October, 261-284. https://doi.org/10.1007/978-3-642-24004-1_14

Heywood, P. M. y Rose, J. (2013). Close but no Cigar: The measurement of corruption. Journal of Public Policy, 34(3), 507-529. https://doi.org/10.1017/S0143814X14000099

Holme, P. y Liljeros, F. (2015). Mechanistic models in computational social science. Frontiers in Physics, 3, 1-10. https://doi.org/10.3389/fphy.2015.00078

Jamshidi, A., Ait-kadi, D., Ruiz, A. y Rebaiaia, M. L. (2018). Dynamic risk assessment of complex systems using FCM. International Journal of Production Research, 56(3), 1070-1088. https://doi.org/10.1080/00207543.2017.1370148

Karmann, T. (2013). Managing Corruption: How Top Management’s Leadership Style and Control Systems Can Reduce Corruption. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2309344

Krishnamurti, C., Shams, S. y Velayutham, E. (2018). Corporate social responsibility and corruption risk: A global perspective. Journal of Contemporary Accounting and Economics, 14(1), 1-21. https://doi.org/10.1016/j.jcae.2018.02.002

Lange, D. (2008). A multidimensional conceptualization of organizational corruption control. Academy of Management Review, 33(3), 710-729. https://doi.org/10.5465/AMR.2008.32465742

Liu, X. (2016). A Literature Review on the Definition of Corruption and Factors Affecting the Risk of Corruption. Open Journal of Social Sciences, 4, 171-177. https://doi.org/10.4236/jss.2016.46019

Lopatta, K., Jaeschke, R., Tchikov, M. y Lodhia, S. (2017). Corruption, Corporate Social Responsibility and Financial Constraints: International Firm ‐ level Evidence. European Management Review, 14, 47-65. https://doi.org/10.1111/emre.12098

Loreto, V., Servedio, V. D. P., Strogatz, S. H. y Tria, F. (2016). Dynamics on Expanding Spaces: Modeling the Emergence of Novelties. 59-83. https://doi.org/10.1007/978-3-319-24403-7_5

Luna-Pla, I. y Nicolás-Carlock, J. R. (2020). Corruption and complexity: a scientific framework for the analysis of corruption networks. Applied Network Science, 5(1). https://doi.org/10.1007/s41109-020-00258-2

Maldonado, C. y Gómez, N. (2010). El mundo de las ciencias de la complejidad Un estado del arte (Issue 76). Editorial Universidad del Rosario.

Miari, R., Mesquita, J. y Pardini, D. (2015). Market Efficiency and Organizational Corruption: Study on the Impact on Shareholder Value. Brazilian Business Review, bbrconf (2015), 1-23. https://doi.org/10.15728/bbrconf.2015.1

Mitchel, M. (2009). Complexity. A Guided Tour. Oxford University Press.

Nekovee, M. y Pinto, J. (2019). Modeling the impact of organization structure and whistle-blowers on intra-organizational corruption contagion. Physica A, 522, 339-349. https://doi.org/10.1016/j.physa.2019.01.140

Nicolás-Carlock, J. R. y Luna-Pla, I. (2021). Conspiracy of Corporate Networks in Corruption Scandals. Frontiers in Physics, 9(June), 1-13. https://doi.org/10.3389/fphy.2021.667471

Olaya, C., Guzmán, L. y Gomez-Quintero, J. (2017). An engineering perspective for policy design: self-organizing crime as an evolutionary social system. Trends in Organized Crime, 20, 55-84. https://doi.org/10.1007/s12117-016-9282-3

Pelletier, K. L. y Bligh, M. C. (2008). The aftermath of organizational corruption: Employee attributions and emotional reactions. Journal of Business Ethics, 80, 823-844. https://doi.org/10.1007/s10551-007-9471-8

Pertiwi, K. (2018). Contextualizing Corruption: A Cross-Disciplinary Approach to Studying Corruption in Organizations. Administrative Sciences, 8(2), 12. https://doi.org/10.3390/admsci8020012

Pinto, J. (2017). Two Faces of Organizational Corruption: Volkswagen and the UK Parliament. Academy of Management Proceedings, 2017(1), 12555. https://doi.org/10.5465/ambpp.2017.12555abstract

Pohontsch, N. J. (2019). Qualitative Content Analysis. Rehabilitation (Germany), 58(6), 413-418. https://doi.org/10.1055/a-0801-5465

Priest, G. (2008). An Introduction to Non-Classical Logic. From If to Is (2.a ed.). Cambridge.

Rey, A., Rothe, J. y Marple, A. (2017). Path-Disruption Games: Bribery and a Probabilistic Model. Theory of Computing Systems, 60(2), 222-252. https://doi.org/10.1007/s00224-016-9669-1

Ribeiro, H. V., Alves, L. G. A., Martins, A. F., Lenzi, E. K. y Perc, M. (2018). The dynamical structure of political corruption networks. Journal of Complex Networks, 6, 989-1003. https://doi.org/10.1093/comnet/cny002

Rose-Ackerman, S. (2010). The institutional economics of corruption. In The good cause: theoretical perspectives on corruption (pp. 47-63). https://doi.org/10.4337/9781845421496

Sengupta, A. (2006). Chaos, Nonlinearity, Complexity. In Studies in Fuzziness and Soft Computing, Volume 206. Springer. https://doi.org/10.1007/3-540-31757-0

Shashkova, A. V. (2018). Corruption Is a Problem of Political Theory and Practice. Montenegrin Journal of Economics, 14(3), 143-154. https://doi.org/10.14254/1800-5845/2018.14-3.10

Stachowicz-Stanusch, A. y Simha, A. (2013). An empirical investigation of the effects of ethical climates on organizational corruption. Journal of Business Economics and Management, 14(SUPPL1), 433-447. https://doi.org/10.3846/16111699.2012.744345

Transparency International. (2006). Herramientas para Medir la Corrupción y la Gobernabilidad en Países Latinoamericanos.

Transparency International. (2019). Corruption Perceptions Index 2019 : Short Methodology Note.

Uslaner, E. M. (2017). The historical roots of corruption: mass education, economic inequality, and state capacity. Cambridge University. https://doi.org/9781108241281

Venard, B. (2013). Institutions, Corruption and Sustainable Development. Economics Bulletin, 33(4).

Verma, P. y Sengupta, S. (2015). Bribe and Punishment: An Evolutionary Game-Theoretic Analysis of Bribery. PLoS ONE, 10(7), 1-22. https://doi.org/10.1371/journal.pone.0133441

Wachs, J., Fazekas, M. y Kertész, J. (2021). Corruption risk in contracting markets: a network science perspective. International Journal of Data Science and Analytics, 12(1), 45-60. https://doi.org/10.1007/s41060-019-00204-1

Wachs, J., Yasseri, T., Lengyel, B. y Kertész, J. (2019). Social capital predicts corruption risk in towns. Royal Society Open Science, 6(4), 182103. https://doi.org/10.1098/rsos.182103

Watts, D. J. (2002). A simple model of global cascades on random networks. Proceedings of the National Academy of Sciences, 99(9), 5766-5771. https://doi.org/10.1515/9781400841356.497

Wiesner, K., Birdi, A., Eliassi-Rad, T., Farrell, H., Garcia, D., Lewandowsky, S., Palacios, P., Ross, D., Sornette, D. y Thébault, K. (2019). Stability of democracies: A complex systems perspective. European Journal of Physics, 40(1), 014002. https://doi.org/10.1088/1361-6404/aaeb4d

World Bank. (2018). Combating Corruption. https://www.worldbank.org/en/topic/governance/brief/anti-corruption

Yasar, M. (2005). A complex systems model for understanding the causes of corruption. Case study: Turkey [tesis doctoral, University of North Texas]. http://search.proquest.com/docview/305424616/

Zausinová, J., Zoričak, M., Vološin, M. y Gazda, V. (2019). Aspects of complexity in citizen–bureaucrat corruption: an agent-based simulation model. Journal of Economic Interaction and Coordination, 15, 527-552. https://doi.org/10.1007/s11403-019-00240-x

Como Citar

Camelo-Rincón, M. S. (2023). Corrupção sob a perspectiva de sistemas complexos: uma revisão sistemática da literatura. Cultura Científica, (21), 1–28. https://doi.org/10.38017/1657463X.821

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Publicado

2023-12-01

Edição

Seção

Artículo de Investigación Científica y Tecnológica