Complexity of educational projects in public administration

Luis Hernan Contreras Pinochet, Vanessa Itacaramby Pardim, Cesar Alexandre de Souza

Resumo


The purpose of this paper is to identify factors related to organizational evaluation and management in the complexity of projects with professionals working with projects in the area of education in the Brazilian public administration. The data were analyzed for a total of 536 respondents involved in this study. The constructs ‘project variety’, ‘elements of context’, ‘interdependencies within the project’ and ‘project complexity’ were analyzed by using Confirmatory Factor Analysis (CFA). This was in conjunction with an evaluation and estimation model with the application of the Structural Equation Modelling (SEM) with the use of the R software. The four identified measures played a significant role in the goodness of fit index of an underlying construct for the model. As a result, it was found that as the length of experience increases, the perception in understanding the complexity (trust and capacity) inherent to the projects, interferes in familiarity with the activity, but not in familiarity with the methodology. Finally, it is necessary that project managers who work in the public area are attentive to the socio-political aspect, since it presupposes the combination of the political and emotional aspects of those involved in the projects. This study contributes to a gap within the literature on the phenomenon ‘complexity of projects’ in the area of education in public administration, what is very important considering the Brazilian reality and its challenges for public managers, both from the point of view of strategic challenges and the complexity of the decisions required. 


Palavras-chave


Project management; Project complexity; Public Management; Project Management Education.

Texto completo:

PDF (English)

Referências


Abdou, S. M., Yong, K. L., & Othman, M. (2016). Project Complexity Influence on Project management performance – The Malaysian perspective, MATEC Web of Conferences 66, 00065, IBCC.

Alderman, N., & Ivory, C. (2007). Partnering in major contracts: paradox and metaphor. International Journal of Project Management, 25(4), 386-393.

Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: a review and recommended two step approach. Psychological Bulletin, 103(3), 411-413.

Baccarini, D. (1996). The concept of project complexity - a review. International Journal of Project Management, 14(4), 201-204.

Badii, R., & Politi, A. (1993). Complexity, Hierarchical Structures and Scaling in Physics. Cambridge: Cambridge University Press.

Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models, Journal of Academy of Marking Science, 16(2), 74-94.

Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991). Assessing Construct Validity in Organizational Research. Administrative Science Quarterly. 36(3), 421-458.

Bakhshi, J., Ireland, V., & Gorod, A. (2016). Clarifying the Project Complexity Construct: Past, Present and Future. International Journal of Project Management, 34, 1199-1213.

Mustapha, B., & Obid, S. N. Bt. S. (2015). Tax Service Quality: The Mediating Effect of Perceived Ease of Use of the Online Tax System. Procedia - Social and Behavioral Sciences, 172, 2-9.

Bosch-Rekveldt, M., Jongkind, Y., Mooi, H., Bakker, H., & Verbraeck, A. (2011). Grasping project complexity in large engineering projects: the TOE (Technical, Organizational and Environmental) framework. International Journal of Project Management, 29(6), 728-739.

Byrne, B. M., Shavelson, R. J., & Muthén, B. (1989), Testing for the equivalence of factor covariance and mean structures: the issue of partial measurement invariance, Psychological Bulletin, 105(3), 456-466.

Calinescu, A., Efstathiou, J., Schirn, J., & Bermejo, J. (1998). Applying and assessing two methods for measuring complexity in manufacturing. The Journal of the Operational Research Society. 49(7), pp. 723–733.

Cicmil, S., Cooke-Davies, T., Crawford, L., & Richardson, K. (2009). Exploring the Complexity of Projects: Implications of Complexity Theory for Project Management Practice, PMI, Newtown Square, PA.

Chu, D., Strand, R., & Fjelland, R. (2003). Theories of complexity. Complexity, 8(3), 19-30.

Cicmil, S., & Marshall, D. (2005). Insights into collaboration at the project level: complexity, social interaction and procurement mechanisms. Building Research & Information, 33(6), 523-535.

Edmonds, B. (1999). Syntactic measures of complexity, DPhil thesis, University of Manchester, Manchester.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

Geraldi, J. G., & Adlbrecht, G. (2007). On faith, fact and interaction in projects. Project Management Journal, 38(1), 32-43.

Geraldi, J. (2008). Patterns of complexity: the thermometer of complexity. Project Perspectives, 29(6), 4-9.

Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2010). Multivariate Data Analysis: Global Perspective, New Jersey, Pearson Prentice Hall.

Hayduck, L. A. (1987). Structural Equation Modeling with LISREL, Johns Hopkings University Press, Baltimore, MD.

Jones, B. S., & Anderson, P. (2005). Diversity as a determinant of system complexity. Complexity in Design and Engineering. [online] http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.95.8498. [accessed 17 June 2019)

Kauffman, S. A. (1993). The Origins of Order. Oxford University Press, Oxford, UK.

Little, T. (2005). Context-adaptive agility: managing complexity and uncertainty. IEEE Software, 22(3), 28-35.

Maylor, H., Turner, N., & Murray-Webster, R. (2013). How hard can it be? Actively managing complexity in technology projects, Research Technology Management, 56(4), 45-51.

Millhiser, W. P., & Solow, D. (2007). How large should a complex system be? An application in organizational teams. Complexity. 12(4), 54-70.

Molenaar, K., Washington, S., & Diekmann, J. (2000). Structural Equation Model of Construction Contract Dispute Potential. Journal of Construction Engineering and Management, 126(4), 268-277.

Moore, M. H. (1995). Creating Public Value – Strategic Management in Government. Harvard University Press.

Müller, R., & Turner, J. R. (2007). Matching the project manager’s leadership style to project type. International Journal Project Management. 25(1), 21-32.

Peterson, R. A. (1994). A meta-analysis of Cronbach’s coefficient alpha. Journal of consumer research, 21(2), 381-391.

Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate behavioral research, 42(1), 185-227.

Pundir, A. K., Ganapathy, L., & Sambandam, N. (2007). Towards a complexity framework for managing projects. Emergence: Complexity and Organization. 9(4). [online] https://journal.emergentpublications.com/article/towards-a-complexity-framework-for-managing-projects/. [accessed 17 June 2019)

Qureshi, S. M., & Kang, C. (2015). Analysing the organizational factors of project complexity using structural equation modelling. International Journal of Project Management. 33(1), 165-176.

Rumeser, D., & Emsley, M. (2017). Learning Style and Learning Method Preference in Project Management Education: What Happens When Things get More Complex? European Conference on Games Based Learning, Academic Conferences International Limited.

Salazar-Aramayo, J. L.; Rodrigues-da-Silveira, R.; Rodrigues-de-Almeida, M.; and Castro-Dantas, T. N. (2013). A conceptual model for project management of exploration and production in the oil and gas industry: the case of a Brazilian company. International Journal of Project Management. 31(4), 589-601.

Scott, J. (1991). The measurement of information systems effectiveness: evaluating a measuring instrument, Proceedings of the Fifteenth International Conference on Information Systems, Vancouver.

Tatikonda, M. V., & Rosenthal, S. R. (2000). Technology novelty, project complexity, and product development project execution success: a deeper look at task uncertainty in product innovation. IEEE Transactions on Engineering Management. 47(1), 74-87.

Thomas, J., & Mengel, T. (2008). Preparing project managers to deal with complexity-advanced project management education. International Journal of Project Management, 26(3), 304-315.

Vidal, L.-A., & Marle, F. (2008). Understanding project complexity: implications on project management. Kybernetes, 37(9), 1094–1110

Vidal, L.-A., Marle, F., & Bocquet, J.-C. (2011). Measuring project complexity using the Analytic Hierarchy Process. International Journal of Project Management, 29(6), 718-727

Williams, T. (2005). Assessing and moving on from the dominant project management discourse in the light of project overruns. IEEE Transactions on Engineering Management, 52(4), 497-508.

Whitty, S. J., & Maylor, H. (2009). And then came complex project management (revised). International Journal of Project Management, 27(3), 304-310.




DOI: https://doi.org/10.5585/gep.v10i3.14835

Apontamentos

  • Não há apontamentos.


Direitos autorais 2019 Revista de Gestão e Projetos

Licença Creative Commons
Esta obra está licenciada sob uma licença Creative Commons Atribuição - Não comercial - Compartilhar igual 4.0 Internacional.

GeP – Revista Gestão e Projetos
ISSN da versão eletronica: 2236-0972
www.revistagep.org