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Article
Publication date: 14 August 2017

Carolina Lino Martins, Hipólito Marcelo Losada López, Adiel Teixeira de Almeida, Jonatas Araújo Almeida and Mirian Batista de Oliveira Bortoluzzi

The purpose of this paper is to analyze the impacts of Portfolio size effect due to scaling issues in the outcome obtained in a project portfolio selection for an electricity…

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Abstract

Purpose

The purpose of this paper is to analyze the impacts of Portfolio size effect due to scaling issues in the outcome obtained in a project portfolio selection for an electricity company in Brazil, focusing on improving business strategic performance.

Design/methodology/approach

The study uses a web-based decision support system (DSS), in which scaling issues are considered, incorporating results of previous work. The study evaluates 32 projects from the electricity company and compared the possible results when considering different scales. Additionally, a sensitivity analysis was conducted to analyze the robustness of the case, using the web-based DSS.

Findings

The results for an interval scale context showed a portfolio with 21 projects, contrasting with the correct solution of a portfolio containing 23 projects. The latter is related to a ratio scale context, with the proper transformation of weights, which was found to be robust with a sensitivity analysis using Monte Carlo simulation. This demonstrates that only appropriate models for selecting projects can improve the contribution to the company’s permanent strategies of increasing productivity, considering its constraints to achieve optimal results.

Originality/value

Additive value functions approach imposes certain requirements on the measurement scales used for the items in a portfolio that should not be ignored, once they have significant impact on the general portfolio results, which are directly related to the business strategic performance and the facilities of doing that with a web-based DSS.

Details

Industrial Management & Data Systems, vol. 117 no. 7
Type: Research Article
ISSN: 0263-5577

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Book part
Publication date: 7 May 2019

Cleber Pinelli Teixeira, Jônatas Castro dos Santos, Reisla D’Almeida Rodrigues, Sean Wolfgand Matsui Siqueira and Renata Araujo

As the Web 2.0 induces changes in human relationships, several implications across issues and domains of socio-economic life follow; politics is one of them. In the context of Web…

Abstract

As the Web 2.0 induces changes in human relationships, several implications across issues and domains of socio-economic life follow; politics is one of them. In the context of Web 2.0, social media have established themselves as a part of citizen’s daily routine. Hence, social media have a direct impact on politics today. This chapter examines this phenomenon and its implications for politics by tracing and examining the recent initiative launched by Rede Globo aimed at collecting citizens’ views and visions on Brazil’s future. “The Brazil I Want” project sought to encourage citizens to publish videos featuring their visions and views of Brazil’s future. Thousands of citizens used this opportunity to express their concerns and hopes related to the future of their cities and their country. This chapter seeks to make sense of it in two ways. First, it explores to what extent and how social media can serve as source of information. Here the concepts and tools of big data and data mining are employed. Second, it inquiries into what people currently think about their country. By bringing these two research perspectives together, this chapter argues that effective ways of resolving issues and concerns the citizens thus voiced exist to the benefit of the efficiency of the policymaking process and the society’s wellbeing.

Details

Politics and Technology in the Post-Truth Era
Type: Book
ISBN: 978-1-78756-984-3

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Book part
Publication date: 7 May 2019

Abstract

Details

Politics and Technology in the Post-Truth Era
Type: Book
ISBN: 978-1-78756-984-3

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Abstract

Details

Politics and Technology in the Post-Truth Era
Type: Book
ISBN: 978-1-78756-984-3

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