Production
https://prod.org.br/article/doi/10.1590/0103-6513.20200112
Production
Research Article

The influence of factors on project management: a qualitative approach

José Francisco Tebaldi de Castro; Helder Gomes Costa; Mirian Picinini Méxas; Claudio Benevenuto de Campos Lima; Wagner Rodrigues Ribeiro

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Abstract

Paper aims: This study describes a qualitative analysis methodology, proposing measurement of the degree of influence of factors acting in project management.

Originality: A multidisciplinary approach explores a path not previously addressed by methodologies commonly associated with project management.

Research method: The De Borda method was used on the results collected from a survey composed of two samples, and showed a strong correlation between them.

Main findings: The results suggest the need to adapt certain project management practices in a given environment, in order to preventively guarantee the success of a project during its execution. The Interpersonal Skills, with Tools and Methods, and Top Management Support are the most influential in project deployment of specific samples.

Implications for theory and practice: It covers part of the existing gap regarding the lack of knowledge on the intensity of the effects of active factors in project deployment. Researchers will be able to enhance said factors, understanding which factors determine, preventively, project success.

Keywords

Influencing factors, Critical success factor, Multi-criteria method, Project success

References

Alagba, T. J. (2014). Improving drilling performance through deployment of 12-project management critical success factors: an empirical investigation. In Proceedings of the SPE Eastern Regional Meeting (SPE-171033-MS, 392-417). Texas: Society of Petroleum Engineers. http://dx.doi.org/10.2118/171033-MS.

Alias, Z., Zawawi, E. M. A., Yusof, K., & Aris, N. M. (2014). Determining critical success factors of project management practice: a conceptual framework. Procedia: Social and Behavioral Sciences, 153, 61-69. http://dx.doi.org/10.1016/j.sbspro.2014.10.041.

Barba-Romero, S., & Pomerol, J. C. (1997). Decisiones multicritério: Fundamentos teóricos y utilizacion prática (Colección Economía). Madrid: Universidad de Alcalá.

Belout, A., & Gauvreau, C. (2004). Factors influencing project success: the impact of human resource management. International Journal of Project Management, 22(1), 1-11. http://dx.doi.org/10.1016/S0263-7863(03)00003-6.

Beringer, C., Jonas, D., & Kock, A. (2013). Behavior of internal stakeholders in project portfolio management and its impact on success. International Journal of Project Management, 31(6), 830-846. http://dx.doi.org/10.1016/j.ijproman.2012.11.006.

Berssaneti, F. T., & Carvalho, M. M. (2015). Identification of variables that impact project success in Brazilian companies. International Journal of Project Management, 33(3), 638-649. http://dx.doi.org/10.1016/j.ijproman.2014.07.002.

Castro, J. F. T. D., Costa, H. G., Méxas, M. P., Lima, C. B. C., & Caiado, R. G. G. (2019). Influencing factors in a portfolio of projects and operations: a systematic review. International Journal of Project Organisation and Management, 11(4), 311-342. http://dx.doi.org/10.1504/IJPOM.2019.104198.

Cooke-Davies, T. J. (2002). The “real’ success factors on project. International Journal of Project Management, 20(3), 185-190. http://dx.doi.org/10.1016/S0263-7863(01)00067-9.

Costa, H. G. (2017). AHP-De Borda: a hybrid multicriteria ranking method. Brazilian Journal of Operations & Production Management, 14(3), 281-287. http://dx.doi.org/10.14488/BJOPM.2017.v14.n3.a1.

Dinmohammadi, A., & Shafiee, M. (2017). Determination of the most suitable technology transfer strategy for wind turbines using an integrated AHP-TOPSIS decision model. Energies, 10(5), 1-17. http://dx.doi.org/10.3390/en10050642.

Dvir, D., & Lechler, T. (2004). Plans are nothing, changing plans is everything: the impact of changes on project success. Research Policy, 16(1), 1-15. http://dx.doi.org/10.1016/j.respol.2003.04.001.

Gavião, L. O., Ferraz, F. T., Lima, G. B. A., & Sant’anna, A. P. (2016). Assessment of the “Disrupt-O-Meter” model by ordinal multicriteria methods. Revista de Administração Inovação, 13(4), 305-314. http://dx.doi.org/10.1016/j.rai.2016.05.002.

Gonçalves, T. J. M., & Correia, A. R. (2015). Proposta de um modelo para a avaliação da segurança operacional em aeroportos baseado nos métodos De Borda e Promethee II. Journal of Transport Literature, 9(1), 50-54. http://dx.doi.org/10.1590/2238-1031.jtl.v9n1a10.

Görög, M. (2016). A broader approach to organisational project management maturity assessment. International Journal of Project Management, 34(8), 1658-1669. http://dx.doi.org/10.1016/j.ijproman.2016.08.011.

Hung, S.-Y., Chen, C., & Wang, K.-H. (2014). Critical success factors for the implementation of integrated healthcare information systems projects: an organizational fit perspective. Communications of the Association for Information Systems, 34(1), 775-796. http://dx.doi.org/10.17705/1CAIS.03439.

Iamratanakul, S., F. Badir, Y., Siengthai, S., & Sukhotu, V. (2014). Indicators of best practices in technology product development projects: prioritizing critical success factors. International Journal of Managing Projects in Business, 7(4), 602-623. http://dx.doi.org/10.1108/IJMPB-06-2012-0036.

Ihuah, P. W., Kakulu, I. I., & Eaton, D. (2014). A review of Critical Project Management Success Factors (CPMSF) for sustainable social housing in Nigeria. International Journal of Sustainable Built Environment, 3(1), 62-71. http://dx.doi.org/10.1016/j.ijsbe.2014.08.001.

Kock, A., Heising, W., & Gemünden, H. G. (2016). A contingency approach on the impact of front-end success on project portfolio success. Project Management Journal, 47(2), 115-129. http://dx.doi.org/10.1002/pmj.21575.

Kuo, T. H., & Kuo, Y. L. (2010). The effect of corporate culture and total quality management on construction project performance in Taiwan. Total Quality Management & Business Excellence, 21(6), 617-632. http://dx.doi.org/10.1080/14783363.2010.483074.

Langston, C., & Ghanbaripour, A. N. (2016). A Management Maturity Model (MMM) for project-based organisational performance assessment. Construction Economics and Building, 16(4), 68-85. http://dx.doi.org/10.5130/AJCEB.v16i4.5028.

Liang, C., Lu, W., Rowlinson, S., & Zhang, X. (2016). Development of a multifunctional BIM Maturity model. Journal of Construction Engineering and Management, 142(11), 1-9. http://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0001186.

McLean, I. (1990). The Borda and Condorcet principles: three medieval applications. Social Choice and Welfare, 7(2), 99-108. http://dx.doi.org/10.1007/BF01560577.

Meskendahl, S. (2010). The influence of business strategy on project portfolio management and its success: a conceptual framework. International Journal of Project Management, 28(8), 807-817. http://dx.doi.org/10.1016/j.ijproman.2010.06.007.

Müller, R. J. R. (2016). The impact of project methodologies on project success in different project environments. International Journal of Managing Projects in Business, 9(2), 1-38. http://dx.doi.org/10.1108/IJMPB-03-2015-0025.

Nguyen, T. H. D., Chileshe, N., Rameezdeen, R., & Wood, A. (2019). Stakeholder influence strategies in construction projects. International Journal of Managing Projects in Business, 13(1), 47-65. http://dx.doi.org/10.1108/IJMPB-05-2018-0093.

Nilashi, M., Zakaria, R., Ibrahim, O., Majid, M. Z. A., Zin, R. M., & Farahmand, M. (2015). MCPCM: a DEMATEL-ANP-Based multi-criteria decision-making approach to evaluate the critical success factors in construction projects. Arabian Journal for Science and Engineering, 40(2), 343-361. http://dx.doi.org/10.1007/s13369-014-1529-1.

Pan, J.-N., & Nguyen, H. T. N. (2015). Achieving customer satisfaction through product-service systems. European Journal of Operational Research, 247(1), 179-190. http://dx.doi.org/10.1016/j.ejor.2015.05.018.

Papadonikolaki, E., Verbraeck, A., & Wamelink, H. (2017). Formal and informal relations within BIM-enabled supply chain partnerships. Construction Management and Economics, 35(8-9), 531-552. http://dx.doi.org/10.1080/01446193.2017.1311020.

Patanakul, P., & Milosevic, D. (2009). The effectiveness in managing a group of multiple projects: factors of influence and measurement criteria. International Journal of Project Management, 27(3), 216-233. http://dx.doi.org/10.1016/j.ijproman.2008.03.001.

Patanakul, P. (2015). Key attributes of effectiveness in managing project portfolio. International Journal of Project Management, 33(5), 1084-1097. http://dx.doi.org/10.1016/j.ijproman.2015.01.004.

Qi, S., Chen, W., Zhang, Y. B., Wu, J. J., & Cai, J. Z. (2014). Identification of influence factors and establishment of evaluation index system for OPM3 in mega construction engineering enterprise. Applied Mechanics and Materials, 584-586, 2233-2238. http://dx.doi.org/10.4028/www.scientific.net/AMM.584-586.2233.

Rocha, P. M., Barros, A. P., Silva, G. B., & Costa, H. G. (2016). Analysis of the operational performance of brazilian airport terminals: a multicriteria approach with De Borda-AHP integration. Journal of Air Transport Management, 51, 19-26. http://dx.doi.org/10.1016/j.jairtraman.2015.11.003.

Silva, E. J. C. (2015). Aplicação do Método de Borda para avaliar as decisões coletivas: um estudo sobre a avaliação de processos críticos afetados pela estratégia de uma empresa do setor elétrico. In Anais do XXXV Encontro Nacional de Engenharia de Produção. Rio de Janeiro: ABEPRO.

Voss, M. (2012). Impact of customer integration on project portfolio management and its success: developing a conceptual framework. Special Issue on Project Portfolio Management, 30(5), 567-581. http://dx.doi.org/10.1016/j.ijproman.2012.01.017.

Xiao, J.-H., Xie, K., & Wan, X.-W. (2010). Key factors influencing enterprise to improve IT application level: Stage difference research: an empirical research on 165 enterprises through field study. In Proceedings of the International Conference on Management Science and Engineering. New York: IEEE. http://dx.doi.org/10.1109/ICMSE.2010.5719779.

Young, R., & Poon, S. (2013). Top management support-almost always necessary and sometimes sufficient for success: findings from a fuzzy set analysis. International Journal of Project Management, 31(7), 943-957. http://dx.doi.org/10.1016/j.ijproman.2012.11.013.
 


Submitted date:
11/13/2020

Accepted date:
04/07/2021

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