Business Research Unit Bru IUL

Lisbon, Portugal

Business Research Unit Bru IUL

Lisbon, Portugal
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Bentes S.R.,Business Research Unit BRU IUL | Bentes S.R.,Polytechnic Institute of Lisbon
Physica A: Statistical Mechanics and its Applications | Year: 2017

This paper investigates the relation between implied (IV) and realized volatility (RV). Using monthly data from the BRIC countries, we assess the informational content of IV in explaining future RV as well as its unbiasedness and efficiency. We employ an ADL (Autoregressive Distributed Lag) and the corresponding EC (Error Correction) model and compare the results with the ones obtained from the OLS regression. Our goal is to assess the fully dynamical relations between these variables and to separate the short from the long-run effects. We found different results for the informational content of IV according to the methodologies used. However, both methods show that IV is an unbiased estimate of RV for India and that IV was not found to be efficient in any of the BRIC countries. Further, EC results reveal the presence of short and long-run effects for India, whereas Russia exhibits only short-run adjustments. © 2017 Elsevier B.V.

Bernardes S.F.,Instituto Universitario Of Lisbon | Silva S.A.,Instituto Universitario Of Lisbon | Silva S.A.,Business Research Unit Bru IUL | Carvalho H.,Instituto Universitario Of Lisbon | And 2 more authors.
European Journal of Pain (United Kingdom) | Year: 2014

Background Although many studies have explored gender role expectations of pain behaviours in different cultures, only a few authors have tried to explore whether certain pains are more associated with the typical man or woman. Hence, this study aimed at exploring, among Portuguese laypeople and nurses, patterns of common pains more strongly associated with the typical man or woman, and their relationship with health-care training and personal pain experiences. Methods A total of 68 nurses (76% women) and 55 laypeople (62% women) were asked to identify, through free association, the most frequent common pains that people in general associate with the typical man and woman, respectively, and also to report their personal past pain experiences. A content analysis was used to categorize and quantify participants' responses. A multiple correspondence analysis was performed to identify gendered patterns of common pains, followed by a cluster analysis to classify participants according to their endorsed patterns. Results Findings showed that while 'back and musculoskeletal pains' was the only pattern associated with the typical man, more differentiated patterns of pains were associated with the typical woman, namely (1) headaches; (2) abdominal, back and musculoskeletal pains; and (3) pains due to hormonal cycles, labour/puerperium and from the urinary/reproductive system. These representations were shared by laypeople and nurses and were only significantly associated with personal experiences of pains from the urinary/reproductive system. Conclusions This study identified different gendered patterns of common pains, which may have important implications for (wo)men's pain experiences and how these are interpreted by others. © 2013 European Pain Federation - EFIC®.

Moro S.,Business Research Unit BRU IUL | Cortez P.,University of Minho | Rita P.,Business Research Unit BRU IUL
Decision Support Systems | Year: 2014

We propose a data mining (DM) approach to predict the success of telemarketing calls for selling bank long-term deposits. A Portuguese retail bank was addressed, with data collected from 2008 to 2013, thus including the effects of the recent financial crisis. We analyzed a large set of 150 features related with bank client, product and social-economic attributes. A semi-automatic feature selection was explored in the modeling phase, performed with the data prior to July 2012 and that allowed to select a reduced set of 22 features. We also compared four DM models: logistic regression, decision trees (DTs), neural network (NN) and support vector machine. Using two metrics, area of the receiver operating characteristic curve (AUC) and area of the LIFT cumulative curve (ALIFT), the four models were tested on an evaluation set, using the most recent data (after July 2012) and a rolling window scheme. The NN presented the best results (AUC = 0.8 and ALIFT = 0.7), allowing to reach 79% of the subscribers by selecting the half better classified clients. Also, two knowledge extraction methods, a sensitivity analysis and a DT, were applied to the NN model and revealed several key attributes (e.g.; Euribor rate, direction of the call and bank agent experience). Such knowledge extraction confirmed the obtained model as credible and valuable for telemarketing campaign managers. © 2014 Elsevier B.V.

Laureano R.M.S.,Instituto Universitario Of Lisbon | Miguel Da Silva Laureano L.,Instituto Universitario Of Lisbon | Miguel Da Silva Laureano L.,Business Research Unit BRU IUL | Grencho A.R.R.R.,Instituto Universitario Of Lisbon
Iberian Conference on Information Systems and Technologies, CISTI | Year: 2016

Business analytics is an information system that combines different data from internal and external sources from organizations in order to help to improve the knowledge of the managers, as well as the decision making process. The competitive advantage is created by better and greater understanding of the data. It focuses on business and gathers three types of analysis: descriptive, predictive and prescriptive. This study aims to propose a framework that can guide companies in the implementation of business analytics solutions. Moreover, it aims to identify a set of critical success factors that can increase the probability of a successful implementation of the system. The framework and the critical success factors are validated through semi-structured interviews with experts in business analytics, working in the information technology industry. The results let us propose a framework with five stages and the identification of 18 critical success factors. This study allows to expand the knowledge that managers have of business analytics and its implementation, allowing the organization to create value and therefore a competitive advantage. © 2016 AISTI.

De Carvalho B.L.,Business Research Unit BRU IUL | Salgueiro M.D.F.,Business Research Unit BRU IUL | Rita P.,Business Research Unit BRU IUL
Ecological Indicators | Year: 2015

This paper examines consumer triggers towards sustainable consumption behaviours, proposing Consumer Sustainability Consciousness as a new construct that allows us to understand what drives the conscious consumption of sustainable products and services, in an integrated "Triple Bottom Line" perspective. Consumer Sustainability Consciousness is proposed as a five-dimensional construct involving: Sense of Retribution; Access to Information; Labelling and Peer Pressure; Health Issues; and Crisis Scenario. The proposed construct was defined using the C-OAR-SE procedure and measured and validated using both Exploratory and Confirmatory Factor Analysis. As a result, a 19-item scale is proposed to measure Consumer Sustainability Consciousness; theoretical and practical implications of the study are also discussed. ©2015 Published by Elsevier Ltd.

De Carvalho B.L.,Business Research Unit BRU IUL | De Fatima Salgueiro M.,Business Research Unit BRU IUL | Rita P.,Business Research Unit BRU IUL
International Journal of Sustainable Development and World Ecology | Year: 2016

The aim of this article is to shed new light on which dimensions compose sustainable purchase intention (SPI) with the purpose of understanding what moves consumer's to a potentially more sustainable behaviour. Even though several studies have researched which factors influence consumers intention to buy in a more sustainable way, no comparable research in consumer behaviour was found studying these dimensions in a triple bottom line perspective (profit, people, and planet) that could also provide future corporate and academic applications. Therefore, this article proposes a new construct - Consumer's Perception on SPI, defined using the C-OAR-SE procedure and measured using exploratory and confirmatory factor analysis using two different samples. In-depth interviews and online survey to actual consumers of sustainable products were undertaken in partnership with a sustainable project using its database, guaranteeing that real consumers' perceptions were gathered for this study. The construct is proposed with two dimensions (measured by nine items): Accessibility (including facets such as product lower pricing, availability in stores, and being sold within a convenient proximity to home) and Trust (including consumers needs such as: to get to know and trust products through understanding the labels; to have had good experiences in the past or simply to have new trial opportunities). Theoretical and practical implications of the findings are also discussed. © 2015 Taylor & Francis.

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