Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2019 | 10 | 4 | 797-814

Article title

Quantitative approach to project portfolio management: proposal for Slovak companies

Content

Title variants

Languages of publication

Abstracts

EN
Research background: Project portfolio optimization isa  demanding process in the case of considering a large number of project intentions and has so far been the subject of research by many authors, especially foreign authors. However, the issue of project portfolio optimization is an area that is not sufficiently addressed by Slovak authors. This was the main impulse to create a specific mathematical model of integer programming with bivalent variables to optimize the company's project portfolio with the intention to reflect the specific requirements of Slovak companies. Purpose of the article: The aim of the article is to propose a mathematical model of integer programming with bivalent variables to optimize the project portfolio with a focus on Slovak companies. Methods: In accordance with the aim of the article, a questionnaire survey was carried out with the intention of identifying the criteria that are perceived by the managers of Slovak companies as important in the optimization of the project portfolio. These criteria were subsequently reflected in the mathematical model design using the mathematical programming method. Findings & Value added: Based on a literature review aimed at the project portfolio optimization, we have found a gap in considering the compliance of project intentions and strategic objectives of the company within the optimization of the project portfolio. Based on the results of the questionnaire survey, the significance of the mutual compliance of project intentions with the strategic objectives of the company was confirmed from the point of view of Slovak companies. Given the fact that our aim was to create an innovative integer programming model with bivalent variables orientated to the conditions of Slovak companies, we included in the resulting model the criteria that were not considered within the scope of existing research in this area, and which are perceived as important by the Slovak companies.

Year

Volume

10

Issue

4

Pages

797-814

Physical description

Dates

published
2019

Contributors

References

  • Abdelaziz, F. B., Aouni, B., & El Fayedh, R. E. (2007). Multi-objective stochastic programming for portfolio selection. European Journal of Operational Research, 177(3). doi: 10.1016/j.ejor.2005.10.021.
  • Alexandrova, M. (2018). A principal component analysis of project portfolio management practices. Ekonomicko-manazerske spektrum, 12(2). doi: 10.26552/ ems.2018.2.96-105.
  • Ballestero, E., Günther, M., Pla-Santamariaa, D., & Stummer, C. (2007). Portfolio selection under strict uncertainty: a multi-criteria methodology and its application to the Frankfurt and Vienna Stock Exchanges. European Journal of Operational Research, 181(3). doi: 10.1016/j.ejor.2005.11.050.
  • Ciszewski, T., & Nowakowski, W. (2018). Economic analysis of the life-cycle cost structure for railway traffic control systems. Ekonomic and Managerial Spectrum, 12(1). doi: 10.26552/ems.2018.1.30-43.
  • Cooper, R., Edgett, S. & Kleinschmidt, E. (2000). New problems, new solutions: making portfolio management more effective. Research Technology Management, 43(2). doi: 10.1080/08956308.2000.11671338.
  • Cyrus, N., & Vogel, D. (2018). Evaluation as knowledge generator and project improver. Learning from demand-side campaigns against trafficking in human beings. Contemporary Readings in Law and Social Justice, 10(1).
  • Doerner, K. F., Gutjahr, W. J., Hartl, R. F., Strauss, C., & Stummer, C. (2006). Pareto ant colony optimization with ILP preprocessing in multiobjective project portfolio selection. European Journal of Operational Research, 171(3). doi: 10.1016/j.ejor.2004.09.009.
  • Fotr, J., & Soucek, I. (2011). Investicni rozhodovani a rízeni projektu. Praha: Grada Publishing.
  • Fotr, J., Plevny, M., Svecova, L., & Vacik, E. (2013). Multi-criteria project portfolio optimization under risk and specific limitations. Business Administration and Management, 4.
  • Ghasemzadeh, F., Archer, N. P., & Iyogun, P. (1999). A zero-one model for project portfolio selection and scheduling. Journal of Operational Research Society, 50(7). doi: 10.1057/palgrave.jors.2600767.
  • Golosnoy, V., & Okhrin, Y. (2008). General uncertainty in portfolio selection: a case-based decision approach. Journal of Economic Behavior & Organization, 67(3-4). doi: 10.1016/j.jebo.2007.08.004.
  • Gupta, P., Mehlawat, M. K., & Saxena, A. (2008). Asset portfolio optimization using fuzzy mathematical programming. Information Sciences, 178(6). doi: 10.1016/j.ins.2007.10.025.
  • Hanafizadeh, P., Kazazi, A. & Bolhasani, A. J. (2011). Portfolio design for investment companies through scenario planning. Management Decision, 49(4). doi: 10.1108/00251741111126468.
  • Hiller, M. (2002). Multiprojektmanagement – Konzept zur Gestaltung, Regelung und Visualisierung einer Projektlandschaft. Kaiserslautern.
  • Hraskova, D., & Bartosova, V. (2014). Emergent approach to management of the transport company. Advances in Social and Behavioral Sciences, 5.
  • Huang, X. (2007). Two new models for portfolio selection with stochastic returns taking fuzzy information. European Journal of Operational Research, 180(1). doi: 10.1016/j.ejor.2006.04.010.
  • Kliestik, T., Misankova, M., & Bartosova, V. (2015). Application of multi criteria goal programming approach for management of the company. Applied Mathematical Sciences, 9(115). doi: 10.12988/ams.2015.57488.
  • Liu, Y. J., & Zhang, W. G. (2019). Flexible time horizon project portfolio optimization with consumption and risk control. Applied Soft Computing, 76. doi: 10.1016/j.asoc.2018.12.017.
  • Mirică (Dumitrescu), C. P. (2018). Online contingent labor in a precarious capitalism: platform business models, nonstandard forms of employment, and digitally driven sharing-economy services. Journal of Self-Governance and Management Economics, 6(3).
  • Sakal, P., & Jerz, V. (2003). Operacna analyza v praxi manazera. Trnava: SP Synergia.
  • Salaga, J., Bartosova, V., & Kicova, E. (2015). Economic value added as a measurement tool of financial performance. Procedia Economics and Finance, 26.
  • Tahri, H. (2015). Mathematical optimization methods: application in project portfolio management. Procedia - Social and Behavioral Sciences, 210. doi: 10.1016/j.sbspro.2015.11.374.
  • Vacik, E., Spacek, M., Fotr, J., & Kracik, L. (2018). Project portfolio optimization as a part of strategy implementation process in small and medium-sized enterprises: a methodology of the selection of projects with the aim to balance strategy, risk and performance. Economic and Management, 21(3).
  • Valjaskova, V. (2019). Effective management and optimization of project portfolio of the company. (Doctoral dissertation, University of Zilina).
  • Xiao, J., Li, J. J., Hong, X. X., Huang, M. M., Hu, X. M., Tang, Y., & Huang, CH. Q. (2018). An improved MOEA/D based on reference distance for software project portfolio optimization. Complexity, 2018. doi: 10.1155/2018/3051854.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
19107981

YADDA identifier

bwmeta1.element.ojs-doi-10_24136_oc_2019_036
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.