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Details

  • Name

    Catarina Delgado
  • Cluster

    Computer Science
  • Role

    External Research Collaborator
  • Since

    01st August 2013
001
Publications

2020

Percentile and stochastic-based approach to the comparison of the number of citations of articles indexed in different bibliographic databases

Authors
Pech, G; Delgado, C;

Publication
Scientometrics

Abstract

2019

Supply Chain Social Sustainability for Manufacturing

Authors
Mani, V; Delgado, C;

Publication
India Studies in Business and Economics

Abstract

2019

Liability of foreignness and anti-corruption reporting in an emerging market: The case of Turkish listed companies

Authors
Branco, MC; Delgado, C; Turker, D;

Publication
Journal of Cleaner Production

Abstract
This study examines the association between different types of dependency on resources and/or pressures from the international community and the reporting practices on the fight against corruption of companies in an emerging country setting, that of Turkey. More specifically, we focus on the influence of multinationality, cross-listing, and membership of the United Nations Global Compact on this type of reporting. We use ordinal regression analysis to explore the association between the three factors mentioned above and anti-corruption reporting for a sample of Turkish firms on the Borsa Istanbul 100 index, while controlling for some other factors likely to influence anti-corruption reporting. Findings show a low level of reporting. They also suggest that companies with their shares cross-listed and companies which are members of the Uited Nations Global Compact do present higher levels of anti-corruption reporting than their counterparts. © 2019 Elsevier Ltd

2019

Centrality and community detection: a co-marketing multilayer network

Authors
Fernandes, A; Goncalves, PCT; Campos, P; Delgado, C;

Publication
Journal of Business and Industrial Marketing

Abstract
Purpose: Based on the data obtained from a questionnaire of 595 people, the authors explore the relative importance of consumers, checking whether socioeconomic variables influence their centrality, detecting the communities within the network to which they belong, identifying consumption patterns and checking whether there is any relationship between co-marketing and consumer choices. Design/methodology/approach: A multilayer network is created from data collected through a consumer survey to identify customers’ choices in seven different markets. The authors focus the analysis on a smaller kinship and cohabitation network and apply the LART network community detection algorithm. To verify the association between consumers’ centrality and variables related to their respective socioeconomic profile, the authors develop an econometric model to measure their impact on consumer’s degree centrality. Findings: Based on 595 responses analysing individual consumers, the authors find out which consumers invest and which variables influence consumers’ centrality. Using a smaller sample of 70 consumers for whom they know kinship and cohabitation relationships, the authors detect communities with the same consumption patterns and verify that this may be an adequate way to establish co-marketing strategies. Originality/value: Network analysis has become a widely used technique in the extraction of knowledge on consumers. This paper’s main (and novel) contribution lies in providing a greater understanding on how multilayer networks represent hidden databases with potential knowledge to be considered in business decisions. Centrality and community detection are crucial measures in network science which enable customers with the highest potential value to be identified in a network. Customers are increasingly seen as multidimensional, considering their preferences in various markets. © 2019, Emerald Publishing Limited.

2019

Method for comparison of the number of citations from papers in different databases

Authors
Pech, G; Delgado, C;

Publication
17TH INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS (ISSI2019), VOL II

Abstract
Citation analysis has been used to compare researchers, fields, institutions and countries. However, not much has been done to compare citations of papers belonging to different databases and published in different years. This comparison could play a relevant role in many systematic literature reviews concerned with the growth, development, and changes of a particular scientific subject. This study aims to examine whether we can use the percentile approach to compare the number of citations from papers in different databases. We argue that this method can convert citations from different databases when there are same articles belonging to more than one database. We apply the method on Thomson Reuters' Web of Science and Elsevier's Scopus databases because they are the leading databases of scholarly impact. In this study we use two different Scopus subject area: Engineering - Industrial and Manufacturing Engineering; and Arts and Humanities -Archaeology. The analysis comprises articles published for the time period 1987-2017, of journals in the Scopus top 10%, corresponding to approximately 152,000 papers.

Supervised
thesis

2019

Corporate Social Responsibility Communication in The Logistics Industry: The Home Country Role

Author
Ester Santos da Costa

Institution
UP-FEP

2019

Análise do Efeito ‘Inverted Hockey Stick’ na Indústria Europeia e da sua Relação com as Políticas de Incentivos e Abordagem Lean.

Author
Nuno Filipe Teixeira Guedes Vieira

Institution
UP-FEP

2019

TRANSIÇÃO PARA A ECONOMIA CIRCULAR NO SETOR DA ÁGUA: ESTUDO DO COMPORTAMENTO DO ECO-CONSUMIDOR

Author
Nelson Manuel Marinho da Rocha

Institution
UP-FEP

2019

Melhoria Contínua e Responsabilidade Social nas organizações - Uma análise exploratória da divulgação voluntária de informação

Author
Diogo Augusto Rebelo Pereira Marquez

Institution
UP-FEP

2019

Reverse Logistics – Current Chain and Analysis

Author
Carla Sofia Bessa de Sousa

Institution
UP-FEP