Static R&amp;D project portfolio selection in public organizations

Schaeffer, Satu Elisa; Cruz-Reyes, Laura

doi:10.1016/j.dss.2016.01.006

Cited by 64 publications

(32 citation statements)

References 42 publications

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“…Abordou-se, também, como o setor público aplica os modelos de seleção de projetos (Arratia et al, 2016;I. S. Litvinchev et al, 2010;Igor Litvinchev et al, 2014;Reyes et al, 2015).…”

Section: Seleção De Projetos No Setor Públicounclassified

Seleção de Projetos no Setor Público: Uma análise no Poder Judiciário Estadual Brasileiro.

Teixeira¹

2017

Proceedings of the 14th CONTECSI International Conference on Information Systems and Technology Management

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Dedico este trabalho a minha esposa Celina Roberta Gomes dos Santos, que me apoiou durante toda a jornada do mestrado e foi compreensiva nos momentos em que não pude estar presente. Dedico ainda ao meu filho Lucas meu enteado Vinícius e minha pequena Ana Luiza, que, no auge de sua infância, teve que compreender a ausência do pai nas atividades escolares e brincadeiras do dia a dia. Por fim, gostaria de ousar e dedicar esse trabalho ao professor Piscopo (in memoria), que mesmo nos momentos difíceis de sua vida estava presente e impulsionando seus alunos. Muito me orgulho de dizer que fui aluno desse mestre. Palavras chave: seleção de projetos, portfólio de projetos, desempenho em portfólio de projeto e gestão publica ABSTRACT Project selection is a useful activity for companies that need to choose one or more set of projects. Archer and Ghasemzadeh (1999) define project selection as a periodic activity to choose a set of projects. The project selection process is present in both private and public institutions and aims to maximize the results for the organization. In the public sector, implementations of project selection techniques arise with the implementation of the model called New Public Management, which applies techniques of the private sector to raise the results. According to Litvinchev et al. (2010) research in the process of project selection in the public sector still lacks attention on the part of the researchers when compared to research in the private sector. Seeking to fill the gap in project selection studies in the public sector, this research project analyzed how the practice of project selection influences the performance of the project portfolio of the State Judicial Branch. To achieve this objective, a qualitative exploratory research was carried out using a multiple case study strategy. Three cases representing different regions of the country were selected. It was concluded that the project selection activity in the state Judiciary is occurring in a disorganized way, using only some phases of the project selection process presented in the literature. The absence of a standardized model has generated a portfolio with excess of projects, unbalanced and with low alignment. Therefore, the performance of the institution is being affected, with high congestion rates and low rate of attendance to the demands.

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“…Abordou-se, também, como o setor público aplica os modelos de seleção de projetos (Arratia et al, 2016;I. S. Litvinchev et al, 2010;Igor Litvinchev et al, 2014;Reyes et al, 2015).…”

Section: Seleção De Projetos No Setor Públicounclassified

Seleção de Projetos no Setor Público: Uma análise no Poder Judiciário Estadual Brasileiro.

Teixeira¹

2017

Proceedings of the 14th CONTECSI International Conference on Information Systems and Technology Management

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“…Interdependency and the synergy among projects is an important factor in portfolio selection. So, Arratia et al (2016) proposed a multi-objective mathematical model to select R&D projects at a public organization that takes into consideration interdependencies and synergies among projects and activities. In their framework, each project proposal includes tasks with different types of costs.…”

Section: Introductionmentioning

confidence: 99%

A technology portfolio optimization model considering staged financing and moratorium period under uncertainty

Shaverdi

Yaghoubi

2021

RAIRO-Oper. Res.

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Technology commercialization needs a large amount of financial resources and governments in developed and developing countries play a critical role in resource allocation to the technology commercialization, especially through “Technology Development Funds (TDFs)”. But, because of resource limitations, determining high priority technologies with higher impact on the country’s innovative performance and the optimal resource allocation to technology development is very important for science and technology policymakers. “Technology portfolio planning” has been developed and applied in this regard. Accordingly, a two-phase decision-making framework has been proposed. At the first phase, the priorities of technology fields are determined by using the best-worst method (BWM) and at the second phase, a two-stage stochastic technology portfolio planning model is developed by considering technological projects' risks and export market, as one of the important factor in the “Global Innovation Index” (GII) ranking. It also has been considered technology fields’ priorities, staged-financing, moratorium period, reinvestment strategy, and technology readiness levels (TRL) in allocating financial resources to technological projects. The main advantages of our proposed model are considering uncertainty and early signaling about underperforming technological projects. Due to the uncertain nature of the problem, our solution methodology is based on the Sample Average Approximation (SAA). In order to demonstrate the applicability of this model, a real case study and its computational results are presented.

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“…With the rapid development of science and technology, the problem of selecting research and development (R&D) projects is becoming increasingly important (Arratia M et al, 2016;Pinheiro et al, 2016;Santamaría et al, 2010). Many countries have established specific research funding agencies and designed formal procedures to evaluate and select projects.…”

Section: Introductionmentioning

confidence: 99%

Solving multiple-criteria R&D project selection problems with a data-driven evidential reasoning rule

Liu

Chen

Yang

et al. 2019

International Journal of Project Management

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In this paper, a likelihood based evidence acquisition approach is proposed to acquire evidence from experts' assessments as recorded in historical datasets. Then a data-driven evidential reasoning rule based model is introduced to R&D project selection process by combining multiple pieces of evidence with different weights and reliabilities. As a result, the total belief degrees and the overall performance can be generated for ranking and selecting projects. Finally, a case study on the R&D project selection for the National Science Foundation of China is conducted to show the effectiveness of the proposed model.The data-driven evidential reasoning rule based model for project evaluation and selection (1) utilizes experimental data to represent experts' assessments by using belief distributions over the set of final funding outcomes, and through this historic statistics it helps experts and applicants to understand the funding probability to a given assessment grade, (2) implies the mapping relationships between the evaluation grades and the final funding outcomes by using historical data, and (3) provides a way Forthcoming in International Journal of Project Management (2019) to make fair decisions by taking experts' reliabilities into account. In the data-driven evidential reasoning rule based model, experts play different roles in accordance with their reliabilities which are determined by their previous review track records, and the selection process is made interpretable and fairer. The newly proposed model reduces the time-consuming panel review work for both managers and experts, and significantly improves the efficiency and quality of project selection process. Although the model is demonstrated for project selection in the NSFC, it can be generalized to other funding agencies or industries.

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Static R&D project portfolio selection in public organizations

Cited by 64 publications

References 42 publications

Seleção de Projetos no Setor Público: Uma análise no Poder Judiciário Estadual Brasileiro.

Seleção de Projetos no Setor Público: Uma análise no Poder Judiciário Estadual Brasileiro.

A technology portfolio optimization model considering staged financing and moratorium period under uncertainty

Solving multiple-criteria R&D project selection problems with a data-driven evidential reasoning rule

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