Abstract
This study gathered data from a sample of 35 Brazilian companies that develop new products and have PMOs in their organizational structure. Previous analyses show that Benefits Management (BM) is the only PMO function that is related to project performance in triple constraint, specifically the cost performance. This paper focuses on BM function to an in-depth understanding of its potential for improvements in cost performance. Logistic regression shows how impacted cost performance can be for each increment of effort in BM. Results can be used as a hypothesis for BM improvement according to predicted results on cost performance.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Project Management Institute (PMI), 2017. Project Management Body of Knowledge - PMBOK. 6th Edition. Pennsylvania. Project Management Institute.
Dai, C. X., and Wells, W. G., 2004. An exploration of project management office features and their relationship to project performance. Int J Proj Manag, 22(7), 523–532.
Julian, J., 2008. How project management office leaders facilitate cross-project learning and continuous improvement. Project Management Journal, 39(3), 43–58.
Taylor, H., Artman, E., and Woelfer, J. P., 2012. Information technology project risk management: bridging the gap between research and practice. Journal of Information Technology, 27(1), 17–34.
Martin, N. L., Pearson, J. M., and Furumo, K. A., 2007. Is Project Management: Size, Practices and the Project Management Office, Journal of Computer Information Systems, 47(4), 52–60.
Kutsch, E., Ward, J., Hall, M., and Algar, J., 2015. The contribution of the project management office: A balanced scorecard perspective. Information Systems Management, 32(2), 105–118.
Aubry, M., Hobbs, B., Müller, R., and Blomquist, T., 2010a. Identifying forces driving PMO changes. Project Management Journal, 41(4), 30–45.
Aubry, M., Müller, R., Hobbs, B., and Blomquist, T., 2010b. Project management offices in transition. Int J Proj Manag, 28(8), 766–778.
Bredillet, C., Tywoniak, S., and Tootoonchy, M., 2018. Why and how do project management offices change? A structural analysis approach. Int J Proj Manag, 36(5), 744–761.
Aubry, M., and Brunet, M., 2016. Organizational design in public administration: Categorization of project management offices. Project Management Journal, 47(5), 107–129.
Barbalho, S. C. M.; Toleldo, J. C.; Silva, I. A., 2019. The effect of stakeholders’ satisfaction and project management performance on transitions in a project management office. IEEE ACESS, 7, pp. 169385–169398
Garel, G., 2013. A history of project management models: From pre-models to the standard models. Int J Proj Manag, 31(5), 663–669.
The Cabinet Office (TCO), 2011. Managing Successful Programmes. 4th Edition. The Stationery Office, London. 301 pp. ISBN: 9780113313280
Rijke, J., Herk, S., Zevenbergen, C., Ashley, R., Hertogh, M., and ten Heuvelhof, E., 2014. Adaptive programme management through a balanced performance/ strategy oriented focus. Int J Proj Manag, 32(7), 1197–1209.
Breese, R., Jenner, S., Serra, C. E. M., and Thorp, J., 2015. Benefits management: Lost or found in translation. Int J Proj Manag, 33(7), 1438–1451.
Sales, L. B., Barbalho, S. C. M., 2020. Identifying System Archetypes in Order to Comprehend and Improve the Program Management Practices in Organizations. IEEE Transaction on Engineering Management, 67(1), 163–173.
Zwikael, O., 2016. Int J Proj Manag special issue on “project benefit management”. Int J Proj Manag. 34(4), 734–735.
Musawir, A., Serra, C. E. M., Zwikael, O., and Ali, I., 2017. Project governance, benefit management, and project success: Towards a framework for supporting organizational strategy implementation. Int J Proj Manag, 35(8), 1658–1672.
Barbalho, S. C. M., Carvalho, V. G., Silva, G. L., and Toledo, J. C., 2016. Analyzing the impact of the functions of Project Management Offices on triple constraints performance of new product projects. Product: Management & Development, 14(2), 85–94.
Barbalho, S. C. M., da Silva, G. L., and de Toledo, J. C., 2017. The impact analysis of functions of Project Management Office on performance of triple constraint of new-product development projects. Dirección y Organización, (61), 19–31.
Ulrich, K.T., Eppinger, S.D., 2008. Product design and development. McGraw-Hill Inc. New York, United States. 366 pp. ISBN: 9780072471465.
Clark, K. B., Fujimoto, T., and Cook, A., 1991. Product development performance: Strategy, organization, and management in the world auto industry (pp. 121–161). Boston, MA: Harvard Business School Press.
Barbalho, S. C. M.; Rozenfeld, H., 2013. Modelo de referência para o processo de desenvolvimento de produtos mecatrônicos (MRM): validação e resultados de uso. Gestão & Produção (UFSCAR. Impresso), v. 20, pp. 162–179.
Cooper, R. G., and Kleinschmidt, E. J., 1995. Benchmarking the firm’s critical success factors in new product development. J Prod Innov Manag: An International Publication of the Product Development & Management Association, 12(5), 374–391.
Griffin, A., and Page, A. L., 1996. PDMA success measurement project: recommended measures for product development success and failure. J Prod Innov Manag, 13(6), 478–496.
Kahn, K. B., Barczak, G., and Moss, R., 2006. Perspective: establishing an NPD best practices framework. J Prod Innov Manag, 23(2), 106–116.
Chiesa, V., and Frattini, F., 2007. Exploring the differences in performance measurement between research and development: evidence from a multiple case study. R&D Management, 37(4), 283–301.
Carvalho, M. M., Patah, L. A., and de Souza Bido, D., 2015. Project management and its effects on project success: Cross-country and cross-industry comparisons. Int J Proj Manag, 33(7), 1509–1522.
Badewi, A., 2016. The impact of project management (PM) and benefits management (BM) practices on project success: Towards developing a project benefits governance framework. Int J Proj Manag, 34(4), 761–778.
Kaplan, R. S., and Norton, D. P., 1996. The Balanced Scorecard: Translating Strategy into Action. Boston: Harvard Business School Press. ISBN: 978-0875846514.
Müller, R., Drouin, N., Sankaran, S., 2019. Modeling Organizational Project Management. Project Management Journal. V. 50(4), pp. 499–513.
Hobbs, B., and Aubry, M., 2007. A multi-phase research program investigating project management offices (PMOs): the results of phase 1. Project management journal, 38(1), 74–86.
Liu, L., and Yetton, P., 2007. The contingent effects on project performance of conducting project reviews and deploying project management offices. IEEE Transactions on Engineering Management, 54(4), 789–799.
Spelta, A. G., and Albertin, A. L., 2012. Project management offices in the IT Area: A context–discriminant model for their establishment. Information Systems Management, 29(1), 40–54.
Unger, B. N., Gemünden, H. G., and Aubry, M., 2012. The three roles of a project portfolio management office: Their impact on portfolio management execution and success. Int J Proj Manag, 30(5), 608–620.
Spalek, S., 2013. Improving industrial engineering performance through a successful project management office. Inzinerine Ekonomika-Engineering Economics, 24(2), 88–98.
Aubry, M., 2015. Project management office transformations: Direct and moderating effects that enhance performance and maturity. Project Management Journal, 46(5), 19–45.
Breese, R., 2012. Benefits realization management: Panacea or false dawn?. Int J Proj Manag, 30(3), 341–351.
Chih, Y. Y., and Zwikael, O., 2015. Project benefit management: A conceptual framework of target benefit formulation. Int J Proj Manag, 33(2), 352–362.
Zwikael, O., Chih, Y. Y., and Meredith, J. R., 2018. Project benefit management: Setting effective target benefits. Int J Proj Manag, 36(4), 650–658.
Laursen, M., and Svejvig, P., 2016. Taking stock of project value creation: A structured literature review with future directions for research and practice. Int J Proj Manag, 34(4), 736–747.
Serra, C. E. M., and Kunc, M., 2015. Benefits realization management and its influence on project success and on the execution of business strategies. Int J Proj Manag, 33(1), 53–66.
Jørgensen, M., 2016. A survey on the characteristics of projects with success in delivering client benefits. Information and Software Technology, 78, 83–94.
Bussab, W.O., Morettin, P.A. (2014) Estatística básica. 6th edition. Saraiva. São Paulo. 540 pp. ISBN: 978-8502207998
Heiberger, R.M., Holland, B., 2004. Statistical Analysis and Data Display. Springer-Verlag, 1st. edition, New York. 730 pp. ISBN: 978-1-4757-4284-8.
Hommel, G., 1989. A comparison of two modified Bonferroni procedures. Biometrika, 76(3), 624–625.
Hochberg, Y., 1988. A sharper Bonferroni procedure for multiple tests of significance. Biometrika, 75(4), 800–802.
Benjamini, Y., and Hochberg, Y., 1995. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal statistical society: series B (Methodological), 57(1), 289–300.
McCullagh, P., 1980. Regression models for ordinal data. Journal of the Royal Statistical Society: Series B (Methodological), 42(2), 109–127.
Peterson, B., and Harrell Jr, F. E.,1990. Partial proportional odds models for ordinal response variables. Journal of the Royal Statistical Society: Series C (Applied Statistics), 39(2), 205–217.
Mossalam, A., and Arafa, M., 2016. The role of project manager in benefits realization management as a project constraint/driver. HBRC Journal, 12(3), 305–315.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
da Silva, G.L., Barbalho, S.C.M. (2020). Logistic Regression Model for Predicting Cost Performance According to Benefits Management Effort in New Product Development Projects. In: Thomé, A.M.T., Barbastefano, R.G., Scavarda, L.F., dos Reis, J.C.G., Amorim, M.P.C. (eds) Industrial Engineering and Operations Management. IJCIEOM 2020. Springer Proceedings in Mathematics & Statistics, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-030-56920-4_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-56920-4_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-56919-8
Online ISBN: 978-3-030-56920-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)