A novel project portfolio selection framework towards organizational resilience: Robust Ordinal Priority Approach. (February 2022)
- Record Type:
- Journal Article
- Title:
- A novel project portfolio selection framework towards organizational resilience: Robust Ordinal Priority Approach. (February 2022)
- Main Title:
- A novel project portfolio selection framework towards organizational resilience: Robust Ordinal Priority Approach
- Authors:
- Mahmoudi, Amin
Abbasi, Mehdi
Deng, Xiaopeng - Abstract:
- Highlights: The study proposes a novel framework for project portfolio selection problem. The study proposes Robust Ordinal Priority Approach in MCDM. The study considers organizational resilience for portfolio selection problem. Abstract: The COVID-19 pandemic has affected the world's economic condition significantly, and construction projects have faced many challenges and disruptions as well. This should be an alarm bell for project-oriented organizations to be prepared for such events and take necessary actions at the earliest time. In this regard, project-oriented organizations should establish their business based on the resilience concept, making them flexible in dealing with risks and decreasing the recovery time after disruptions. The current study proposes a practical conceptual framework for project-oriented organizations to select the most appropriate portfolio based on organizational resilience strategy. First, portfolios are identified, and the projects are clustered based on organizational resilience strategy using the Elbow and Fuzzy C-Means methods. The projects' scores are then determined employing the stakeholders' opinions and Robust Ordinal Priority Approach (OPA-R), which can handle the uncertainty of the input data. After that, each portfolio's score is determined using the obtained scores of the projects, and the best portfolio linked to the organizational resilience strategy is selected. The application of the proposed method to a project-orientedHighlights: The study proposes a novel framework for project portfolio selection problem. The study proposes Robust Ordinal Priority Approach in MCDM. The study considers organizational resilience for portfolio selection problem. Abstract: The COVID-19 pandemic has affected the world's economic condition significantly, and construction projects have faced many challenges and disruptions as well. This should be an alarm bell for project-oriented organizations to be prepared for such events and take necessary actions at the earliest time. In this regard, project-oriented organizations should establish their business based on the resilience concept, making them flexible in dealing with risks and decreasing the recovery time after disruptions. The current study proposes a practical conceptual framework for project-oriented organizations to select the most appropriate portfolio based on organizational resilience strategy. First, portfolios are identified, and the projects are clustered based on organizational resilience strategy using the Elbow and Fuzzy C-Means methods. The projects' scores are then determined employing the stakeholders' opinions and Robust Ordinal Priority Approach (OPA-R), which can handle the uncertainty of the input data. After that, each portfolio's score is determined using the obtained scores of the projects, and the best portfolio linked to the organizational resilience strategy is selected. The application of the proposed method to a project-oriented organization is examined, and its usage for the managers of project-oriented organizations is discussed in detail. … (more)
- Is Part Of:
- Expert systems with applications. Volume 188(2022)
- Journal:
- Expert systems with applications
- Issue:
- Volume 188(2022)
- Issue Display:
- Volume 188, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 188
- Issue:
- 2022
- Issue Sort Value:
- 2022-0188-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-02
- Subjects:
- Multiple criteria decision-making -- Organizational resilience -- Project portfolio selection -- Robust ordinal priority approach -- Fuzzy C-means
Expert systems (Computer science) -- Periodicals
Systèmes experts (Informatique) -- Périodiques
Electronic journals
006.33 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09574174 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.eswa.2021.116067 ↗
- Languages:
- English
- ISSNs:
- 0957-4174
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3842.004220
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22666.xml