Controlling a Multibillion Project Portfolio - Milestones as Key Performance Indicator for Project Portfolio Management

Eik-Andresen, Petter; Johansen, Agnar; Landmark, Andreas D.; Sørensen, Anette Østbø

doi:10.1016/j.sbspro.2016.06.191

Cited by 7 publications

(4 citation statements)

References 19 publications

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“…Prior to risk analysis is risk identification, the first and the most critical activity in risk management [1,9], upon which the integration of sustainability depends [5]. However, gaps in the literature call for the identification of portfolio risks, beyond single project risks [9,10]. Nowadays, understanding interdependencies between projects and their following implications have a considerable effect on making the right decisions [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Project Portfolio Risk Identification and Analysis, Considering Project Risk Interactions and Using Bayesian Networks

et al. 2018

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An organization's strategic objectives are accomplished through portfolios. However, the materialization of portfolio risks may affect a portfolio's sustainable success and the achievement of those objectives. Moreover, project interdependencies and cause-effect relationships between risks create complexity for portfolio risk analysis. This paper presents a model using Bayesian network (BN) methodology for modeling and analyzing portfolio risks. To develop this model, first, portfolio-level risks and risks caused by project interdependencies are identified. Then, based on their cause-effect relationships all portfolio risks are organized in a BN. Conditional probability distributions for this network are specified and the Bayesian networks method is used to estimate the probability of portfolio risk. This model was applied to a portfolio of a construction company located in Iran and proved effective in analyzing portfolio risk probability. Furthermore, the model provided valuable information for selecting a portfolio's projects and making strategic decisions.

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Section: Introductionmentioning

confidence: 99%

Project Portfolio Risk Identification and Analysis, Considering Project Risk Interactions and Using Bayesian Networks

et al. 2018

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“…Data collection must be systematic and comprehensive, starting from the lowest level of project management and aggregated into easily interpretable upperorganizational-level dashboards to provide accurate and meaningful insights into portfolio delivery performance. While the reporting systems are transparent, interpreting, analyzing, and converting this information into actionable insights truly matter [22]. By effectively interpreting, analyzing, and converting this information into actionable insights, function leaders and high-ranking executives can make informed decisions, remove roadblocks, and ultimately contribute to successfully realizing their organization's OKRs.…”

Section: Methodsmentioning

confidence: 99%

Integrating Sustainability Metrics into Project and Portfolio Performance Assessment in Agile Software Development: A Data-Driven Scoring Model

Fagarasan,

Cristea,

Cristea

et al. 2023

Sustainability

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In today’s rapidly evolving information technology sectors, agile methodologies have been employed by software development organizations to facilitate the large-scale, efficient, and swift development of digital products. Notably, it is a widely accepted principle that an increase in project delivery predictability results from more effective portfolio management. Despite the abundant resources within software engineering that address project management and agile development performance, the measurement of portfolio delivery performance integrating sustainability principles is under-researched. This paper aims to underline a solution to bridge this gap by proposing a data-driven scoring model explicitly designed for software firms to integrate sustainability metrics into their project and portfolio performance assessment. The model is primarily aimed at monitoring and enhancing delivery performance while also reinforcing the sustainability of the software development lifecycle. A thorough literature review was conducted to discern gaps in existing practices, followed by development of a scoring model melded with delivery and sustainability metrics seamlessly. Validated through a case study, the findings reveal that the model influences the performance and sustainability dynamics within software development entities. The insights gained from this study underscore the pivotal role of a harmonized delivery and sustainability metrics system in enhancing the sustainability and efficiency of software development undertakings.

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“…Also, practical use of these methods has not been considerable since most of these methods have been difficult and complex for understanding and using and in some cases, they require considerable input data. Hence, to decide properly in regard with projects, it is necessary that a clear definition of the methods be used for supporting the decision-makers and the methods be used for measurement of portfolio that is perceivable for decision-makers (Kerzner, 2006;Liesio et al, 2007;Meredith & mantel, 2008;Eik-Andresen et al, 2016). For example, we can refer to studies by Cooper et al (2001) that have addressed the selection and prioritizing of the projects (Poh et al, 2001;Henriksen & Traynor, 1999;Meade & Presley, 2002;Padovani et al, 2001).…”

Section: Investment Projects In Multiple Portfoliosmentioning

confidence: 99%

A hybrid of Delphi, AHP and TOPSIS Methods for project portfolio management

Borjy¹,

Baradaran²,

Zandi³

et al. 2019

10.5267/j.jpm

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Due to the importance and complexity of the portfolio management issue, over 100 different techniques have already been presented. In general, the final result of these tools is to create a prioritized list of the projects that must be selected for allocating resources. The use of financial strategies may be misleading in some cases, and it is necessary to combine these methods with other methods such as strategic approaches in order to guarantee a balanced portfolio toward the organizational strategies. On the other, categorizing projects into different baskets allows the organizations to select, evaluate and prioritize the projects in a subset using a set of similar criteria and techniques. In this article, by choosing agriculture sector as a case study, an attempt has been made to study the evaluation, ranking and management of projects with investment classifying strategy of the projects using Delphi, TOPSIS and AHP methods. The results reveal that in similar cases we can use the presented model by determining the type of activity and investment and localization of the indexes.

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Controlling a Multibillion Project Portfolio - Milestones as Key Performance Indicator for Project Portfolio Management

Cited by 7 publications

References 19 publications

Project Portfolio Risk Identification and Analysis, Considering Project Risk Interactions and Using Bayesian Networks

Project Portfolio Risk Identification and Analysis, Considering Project Risk Interactions and Using Bayesian Networks

Integrating Sustainability Metrics into Project and Portfolio Performance Assessment in Agile Software Development: A Data-Driven Scoring Model

A hybrid of Delphi, AHP and TOPSIS Methods for project portfolio management

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