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Authors: Xingqi Zou 1 ; Qing Yang 1 ; Qian Hu 1 and Tao Yao 2

Affiliations: 1 School of Economics and Management, University of Science and Technology Beijing, 30 Xueyuan Road, Beijing, China ; 2 Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, U.S.A.

ISBN: 978-989-758-352-0

Keyword(s): Project Portfolio Selection, Risk Prediction, Sustainable Development, Random Walk Method, Multidomain Matrix (MDM).

Abstract: Based on the interdependency relationship among projects, the paper analyses risk factors in the project portfolio network via the random walk algorithm. Sustainability is one of the most important challenges of the project and portfolio management. This paper analyses the interdependencies among projects in a portfolio from the perspective of sustainable development and builds models to measure the relationship among risk factors via the Multidomain matrix (MDM) method. Using the interdependency relationship among projects and potential relationship between different risk factors as inputs, the paper builds the model of portfolio risk network to predict the risk in the project portfolio via a random walk algorithm. Because the random walk is a personalized recommendation algorithm, so our proposed method can achieve an accurate prediction of portfolio risk through predicting the risk factors and their probabilities in the portfolio. Our method can also help project managers to rank t hese risk factors in the portfolio through distinguishing the most concerned risks. (More)

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Paper citation in several formats:
Zou, X.; Yang, Q.; Hu, Q. and Yao, T. (2019). Project Portfolio Risk Prediction and Analysis using the Random Walk Method.In Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-352-0, pages 285-291. DOI: 10.5220/0007357202850291

@conference{icores19,
author={Xingqi Zou. and Qing Yang. and Qian Hu. and Tao Yao.},
title={Project Portfolio Risk Prediction and Analysis using the Random Walk Method},
booktitle={Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2019},
pages={285-291},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007357202850291},
isbn={978-989-758-352-0},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Project Portfolio Risk Prediction and Analysis using the Random Walk Method
SN - 978-989-758-352-0
AU - Zou, X.
AU - Yang, Q.
AU - Hu, Q.
AU - Yao, T.
PY - 2019
SP - 285
EP - 291
DO - 10.5220/0007357202850291

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