Libiao Bai
A New Project Portfolio Strategic Objective Promoting Model Considering Existing Resource Synergies in the Enterprises
Bai, Libiao; Liu, Ximei; An, Min
Abstract
Monitoring and optimizing the objectives of the Project Portfolio (PP) in an enterprise is a critical step toward to achieve the strategic goals. The implementation of PP objectives heavily relies on resources available in the enterprise and the synergies among resources that will further affect the realization of the strategic goals. However, the existing studies neglect the impact of resources on the achievement of strategic goals and the effects of synergies among resources are not considered effectively when implementing PP in the enterprise. This paper presents a new model to quantify and optimize the implementation of PP objectives by taking effects of the synergies among resources into account to promote the realization of the strategic goals. In this method, a goal-resource network is first developed to take strategic goals and resources into consideration. Then, PP objective achievement values are quantified by considering the synergies among resources through the analysis of such a goal-resource network. If the PP objective achievement values fail to meet the enterprise’s requirements, the realization of PP objectives will be promoted by optimizing the identified key resources. A case study is presented to demonstrate the application of the proposed methodology. The results show that the proposed model can quantify the achievement value of strategic goals and identify key resources by clarifying the influence of resources on strategic goals, which provides a useful method and tool to analyze the synergies among resources and to promote strategic goals effectively and efficiently in the enterprise.
| Journal Article Type | Article |
|---|---|
| Acceptance Date | Feb 17, 2025 |
| Online Publication Date | Mar 27, 2025 |
| Deposit Date | Apr 16, 2025 |
| Publicly Available Date | Mar 28, 2026 |
| Journal | International Journal of Information Technology & Decision Making |
| Print ISSN | 0219-6220 |
| Electronic ISSN | 1793-6845 |
| Publisher | World Scientific Publishing |
| Peer Reviewed | Peer Reviewed |
| DOI | https://doi.org/10.1142/s021962202550035x |
Files
This file is under embargo until Mar 28, 2026 due to copyright reasons.
Contact M.An@salford.ac.uk to request a copy for personal use.
You might also like
Guest editors’ introduction (Vol. 30, No. 7)
(2020)
Journal Article