Project portfolio selection based on synergy degree of composite system

Project portfolio selection based on synergy degree of composite system A synergistic perspective to selecting the right project portfolio is the key to realizing strategic organizational objectives. Based on the theory of the composite system, this paper identifies the factors that affect the science of project portfolio selection (PPS) and investigates the synergistic relationship among the organizational strategic objective subsystem, the project portfolio subsystem and the environment subsystem, which collectively constitute the composite system of project portfolio selection. Utilizing the concept of order parameters, an order parameter system is built for each subsystem to reflect the synergistic relationships in the composite system of PPS. The PPS model is constructed based on the degree of synergy in the composite system by describing the order degree of the subsystem and the synergy degree of the composite system, which helps to quantify the synergistic relationships among these subsystems. The effectiveness and feasibility of the proposed model are demonstrated and validated by a case study. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Soft Computing Springer Journals

Project portfolio selection based on synergy degree of composite system

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Mathematical Logic and Foundations; Control, Robotics, Mechatronics
ISSN
1432-7643
eISSN
1433-7479
D.O.I.
10.1007/s00500-018-3277-8
Publisher site
See Article on Publisher Site

Abstract

A synergistic perspective to selecting the right project portfolio is the key to realizing strategic organizational objectives. Based on the theory of the composite system, this paper identifies the factors that affect the science of project portfolio selection (PPS) and investigates the synergistic relationship among the organizational strategic objective subsystem, the project portfolio subsystem and the environment subsystem, which collectively constitute the composite system of project portfolio selection. Utilizing the concept of order parameters, an order parameter system is built for each subsystem to reflect the synergistic relationships in the composite system of PPS. The PPS model is constructed based on the degree of synergy in the composite system by describing the order degree of the subsystem and the synergy degree of the composite system, which helps to quantify the synergistic relationships among these subsystems. The effectiveness and feasibility of the proposed model are demonstrated and validated by a case study.

Journal

Soft Computing – Springer Journals

Published: Jun 4, 2018

References

  • Research on the theory frame and method of project portfolio selection
    An, HG
  • Synergetic degree of project portfolio configuration based on the theory of entropy
    Bai, LB; Bai, SJ; Shi, Victor
  • Linking projects to business strategy through project portfolio management
    Buys, AJ; Stander, MJ
  • Fuzzy portfolio selection with non-financial goals: exploring the efficient frontier
    Calvo, C; Ivorra, C; Liern, V
  • Research on the coupling synergy between urbanization and the development of construction industry in Tianjin
    Cao, L; Zijun, QI; Wang, L
  • Construction of the evaluation index system of human comprehensive development based on correlation-principal component analysis
    Chi, GT; Cao, TT; Zhang, K
  • Drugs against leishmaniasis: a synergy of technology and partnerships
    Davis, AJ; Murray, HW; Handman, E
  • Chief executive scanning, environmental characteristics, and company performance: an empirical study
    Draft, RL; Sormunen, J; Parks, D
  • Construction and function of evaluation system of real estate investment environment
    Fang, WW
  • Research on multi-projects synergistic management
    Feng, JQ; Zhang, Z
  • Complex systems theory: implications and promises for manufacturing organisations
    Frizelle, Mccarthy IP; Rakotobejoel, T; Frizelle, G
  • Unraveling the technological innovation pattern of China’s aerospace: synergy innovation
    Gao, P; Liu, Y; Li, X; Wang, Y
  • Application of principal component analysis in water quality evaluation by SPSS software
    Gu, JF; Zhu, CJ; Hao, ZC
  • Synergetics an introduction
    Haken, H
  • Portfolio selection
    Harry, M
  • Empirical study on synergy development between product innovation and process innovation in manufacturing enterprises based on coordination measurement model with respect to composite system
    Ke-Xin, BI; Sun, DH
  • The classification study on analysis models and approaches of synergy development between product innovation and process innovation
    Ke-Xin, BI; Ming-Ye, AI; Bai-Zhou, LI
  • Innovation research on collaborative management mode of large scale cluster project
    Le, XJ; She, LZ
  • A comparison of psychometric properties and normality in 4-, 5-, 6-, and 11-point Likert scales
    Leung, SO
  • Research on the adaptability to internal and external environment of enterprise based on AHP
    Li, XB; Ge, HY
  • Study of bi-objective project portfolio selection model based on the divisibility
    Li, XM; Wei, HJ; Guo, XL
  • Distributionally robust fuzzy project portfolio optimization problem with interactive returns
    Liu, Y; Liu, YK
  • An attempt on science and technology synergy innovation mechanism in universities—a case study of Hubei universities
    Nie, JK; Wei, HA
  • Exploring the link between PPM implementation and company success in achieving strategic goals: an empirical framework
    Oosthuizen, C; Grobbelaar, SS; Bam, W
  • Multiobjective project portfolio selection with Fuzzy constraints
    Perez, F; Gomez, T
  • New method for evaluating venture capital portfolio
    Qiu, YR; Yuan, L
  • A comprehensive model for R and D project portfolio selection with zero-one linear goal-programming
    Rabbani, M; Moghaddam, RT; Jolai, F; Ghorbani, HR
  • A hybrid grey based artificial neural network and C&R tree for project portfolio selection
    Razi, FF; Shariat, SH
  • A hybrid genetic algorithm for scheduling and selecting a project portfolio. Foundations of intelligent systems
    Shi, B; Wang, H; Qi, L
  • Research on project portfolio allocation based on strategic orientation
    Song, HY; Guo, YT; Bai, SJ
  • Research on enterprise project portfolio management and portfolio evaluation
    Sun, ZH
  • A measure model for synergy degree between Sci-tech innovation and Sci-tech finance and its application
    Wang, HQ; Yu-Lian, XU
  • Energy degree of China’s High-tech industrial innovation system
    Wang, LB; Hong, J; Zhao, DT
  • Strategic closeness for aerospace project portfolio allocation based on synergetic theory
    Wang, XB; Bai, SJ; Bai, LB
  • Strategic closeness for aerospace project portfolio allocation based on synergistic theory
    Wang, XB; Bai, SJ; Bai, LB
  • Study on synergy mechanism of regional archival information resources co-construction and sharing
    Wu, J
  • An intuitionistic fuzzy multi-criteria framework for large-scale rooftop PV project portfolio selection: case study in Zhejiang, China
    Wu, Y; Xu, C; Ke, Y
  • The Standard for portfolio management
    Yang, Q; Shi, Q
  • Synergy between scientific advancement and technological innovation illustrated by a mechanism-based model characterizing sodium-glucose cotransporter-2 inhibition
    Zhang, L; Ng, CM; Li, JF; Pfister, DM
  • Research on multi-projects synergistic mechanism exploration and application
    Zhang, ZH; Wang, Y; Wang, HL
  • Analysis of interaction between enterprise and enterprise environment
    Zhu, H

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