European University of Portugal

Quinta do Anjo, Portugal

European University of Portugal

Quinta do Anjo, Portugal

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Lima F.,University of Lisbon | Sousa M.J.,European University of Portugal
Proceedings of the European Conference on IS Management and Evaluation, ECIME | Year: 2016

Olympic Summer Games is a well-known megaproject, which fascinates many people in the world, not only because of the sports, but as well as, for the management practices applied on its organization. Rio2016 is the first edition of The Olympics in South America and based on that the eyes of the world are on the project, especially to understand the readiness status of the city to host this multi-sport mega event and the planning processes and techniques, which have been applied on it. In the Organizing Committee of Olympic Games (OCOG) technology represents one of the most important pieces of this puzzle. Nowadays is almost impossible to have an event of this magnitude without technology support, and for this reason technology area has one of the highest budgets of the OCOG. Technology does not have, in general, a high rate of success in project management, but in this kind of project, there is not a second chance. It is mandatory to have a simple, trustworthy, and transparent project management practice implemented in the entire IT department able to provide quickly the required information to the executives to make decisions. This study intends to address the topic first doing a broad and deep literature review to gather the theory and methodological tools to support the researcher to evaluate the research findings. A case study in Rio2016 project was conducted to understand what kind of project management practices IT department has been applying and what the proportion of knowledge used from previous games is. Researcher could observed that Rio2016 IT department has been applying known project management practices based on PMI standard called PMBOK and in specific Olympics Games products, which means that a mix of project management artefacts have been supporting OCOG needs. Olympics do not have space neither a chance of failure that puts a high pressure on IT teams to manage their projects to achieve the goals agreed with IOC, partners, providers, and clients.


Scholten M.,European University of Portugal | Sanborn A.,University of Warwick
Journal of Experimental Psychology: General | Year: 2016

We examine preferences for sequences of delayed monetary gains. In the experimental literature, two prominent models have been advanced as psychological descriptions of preferences for sequences. In one model, the instantaneous utilities of the outcomes in a sequence are discounted as a function of their delays, and assembled into a discounted utility of the sequence. In the other model, the accumulated utility of the outcomes in a sequence is considered along with utility or disutility from improvement in outcome utilities and utility or disutility from the spreading of outcome utilities. Drawing on three threads of evidence concerning preferences for sequences of monetary gains, we propose that the accumulated utility of the outcomes in a sequence is traded off against the duration of utility accumulation. In our first experiment, aggregate choice behavior provides qualitative support for the tradeoff model. In three subsequent experiments, one of which incentivized, disaggregate choice behavior provides quantitative support for the tradeoff model in Bayesian model contests. One thread of evidence motivating the tradeoff model is that, when, in the choice between two single dated outcomes, it is conveyed that receiving less sooner means receiving nothing later, preference for receiving more later increases, but when it is conveyed that receiving more later means receiving nothing sooner, preference is left unchanged. Our results show that this asymmetric hidden-zero effect is indeed driven by those supporting the tradeoff model. The tradeoff model also accommodates all remaining evidence on preferences for sequences of monetary gains. © 2016 The Author(s).


Scholten M.,European University of Portugal | Read D.,Warwick Business School | Sanborn A.,University of Warwick
Cognitive Science | Year: 2014

Models of intertemporal choice draw on three evaluation rules, which we compare in the restricted domain of choices between smaller sooner and larger later monetary outcomes. The hyperbolic discounting model proposes an alternative-based rule, in which options are evaluated separately. The interval discounting model proposes a hybrid rule, in which the outcomes are evaluated separately, but the delays to those outcomes are evaluated in comparison with one another. The tradeoff model proposes an attribute-based rule, in which both outcomes and delays are evaluated in comparison with one another: People consider both the intervals between the outcomes and the compensations received or paid over those intervals. We compare highly general parametric functional forms of these models by means of a Bayesian analysis, a method of analysis not previously used in intertemporal choice. We find that the hyperbolic discounting model is outperformed by the interval discounting model, which, in turn, is outperformed by the tradeoff model. Our cognitive modeling is among the first to offer quantitative evidence against the conventional view that people make intertemporal choices by discounting the value of future outcomes, and in favor of the view that they directly compare options along the time and outcome attributes. © 2014 Cognitive Science Society, Inc.


Viseu A.,European University of Portugal | Viseu A.,University of Lisbon
Social Studies of Science | Year: 2015

One of the most significant shifts in science policy of the past three decades is a concern with extending scientific practice to include a role for ‘society’. Recently, this has led to legislative calls for the integration of the social sciences and humanities in publicly funded research and development initiatives. In nanotechnology – integration’s primary field site – this policy has institutionalized the practice of hiring social scientists in technical facilities. Increasingly mainstream, the workings and results of this integration mechanism remain understudied. In this article, I build upon my three-year experience as the in-house social scientist at the Cornell NanoScale Facility and the United States’ National Nanotechnology Infrastructure Network to engage empirically and conceptually with this mode of governance in nanotechnology. From the vantage point of the integrated social scientist, I argue that in its current enactment, integration emerges as a particular kind of care work, with social scientists being fashioned as the main caretakers. Examining integration as a type of care practice and as a ‘matter of care’ allows me to highlight the often invisible, existential, epistemic, and affective costs of care as governance. Illuminating a framework where social scientists are called upon to observe but not disturb, to reify boundaries rather than blur them, this article serves as a word of caution against integration as a novel mode of governance that seemingly privileges situatedness, care, and entanglement, moving us toward an analytically skeptical (but not dismissive) perspective on integration. © 2015, © The Author(s) 2015.


Biscaia R.,European University of Portugal | Biscaia R.,University of Lisbon
Open Sports Sciences Journal | Year: 2016

Football is one of the most rooted sports worldwide attracting millions of spectators, but clubs face an increasing competition of other leisure activities. Understanding how to increase spectators' behavioral intentions towards their favorite football teams is paramount for sport managers, given that a behavioral intention represents a measure of how much a person is willing to engage in a specific behavior. Thus, the purposes of this study were (1) to explain the role of spectators' behavioral intentions, and (2) to highlight its antecedents within the football context. In doing so, this study starts by providing a review of consumption-related aspects that have been associated with football spectators' behavioral intentions, such as emotions experienced during the games, service quality, team brand associations and satisfaction. Subsequently, the main findings from previous studies conducted with football spectators are highlighted and managerial implications are suggested in order to aid football clubs at providing good overall consumption experiences to their spectators, and thus contributing to increase attendance levels. Finally, future research avenues are suggested in order to expand our understanding on how to strengthen the link between football spectators and their teams, with subsequent associated benefits. © Rui Biscaia; Licensee Bentham Open.


Da Cunha J.V.,European University of Portugal | Da Cunha J.V.,University of Aarhus
MIS Quarterly: Management Information Systems | Year: 2013

The production of performance data in organizations is often described as a functional process that managers enforce on their employees to provide leaders with accurate information about employees' work and their achievements. This study draws on a 15-month ethnography of a desk sales unit to build a dramaturgical model that explains how managers participate in the production of performance data to impress rather than inform leaders. Research on management information systems is reviewed to outline a protective specification of this model where managers participate in the production of performance data to suppress information that threatens the image they present to leaders. Ethnographic data about the production and use of performance records and performance reports in a desk sales unit is examined to induce an exploitive specification of this dramaturgical model. This specification explains how people can take advantage of the opportunities, rather than just avoid the threats that performance data presents for impression management. It also demonstrates how managers can participate in the production of performance data to create an idealized version of their accomplishments and that leaders reify these data by using them in their own attempts at impressing others. By doing so, leaders and managers turn information systems into store windows to show achievement upward instead of transparent windows to monitor compliance downward.


Martin A.,York University | Myers N.,York University | Viseu A.,European University of Portugal
Social Studies of Science | Year: 2015

Care is a slippery word. Any attempt to define it will be exceeded by its multivocality in everyday and scholarly use. In its enactment, care is both necessary to the fabric of biological and social existence and notorious for the problems that it raises when it is defined, legislated, measured, and evaluated. What care looks and feels like is both context-specific and perspective-dependent. Yet, this elusiveness does not mean that it lacks importance. In our engagements with the worlds that we study, construct, and inhabit, we cannot but care: care is an essential part of being a researcher and a citizen. To properly invite you into this Special Issue, then, we need to say something about what we mean when we write about care. © 2015, © The Author(s) 2015.


Sousa M.J.,European University of Portugal
Advances in Intelligent Systems and Computing | Year: 2016

This research focuses on the role of Information Technologies (IT) as a driver for creating new business. The research question is “What are the key businesses that are emerging due to IT?” The research was supported on a qualitative methodology through documental analysis and semi-structured interviews to IT Managers of organizations which represents the main economic sectors. The technologies under analysis were Internet of Things, Cloud Technology, Big Data, Mobile Technologies, and Artificial Intelligence and Robotics. A main result of this research was the new disruptive business that are emerging from the impact of this technologies on the markets. © Springer International Publishing Switzerland 2016.


Tojal C.,European University of Portugal | Costa R.,European University of Portugal
Psycho-Oncology | Year: 2015

Objective Depression is the most common psychological disorder observed in breast cancer patients. The purposes of this study were: to determine the prevalence of depressive symptoms among women with breast cancer; and examine the association of depressive symptoms and demographic and clinical variables as well as the association between mental adjustment to cancer and level of depressive symptoms. Methods A total of 150 breast-cancer-diagnosed women were recruited in an Oncology Hospital. The Beck Depression Inventory and The Mini Mental Adjustment to Cancer Scale were administered. Results Most of the patients had clinically significant symptoms of depression (56.5%), and there were few women without clinically significant depressive symptoms (18.4%). Both educational level (p < .001) and marital status (p = .041) are associated with depression symptoms. More depression was associated with more helplessness/hopelessness and anxious preoccupation and less fighting spirit and cognitive avoidance. Conclusions Specific interventions for women with breast cancer should be carried out in order to enhance the mental health and resilience behaviors. © 2015 John Wiley & Sons, Ltd.


Paderewski J.,Warsaw University of Life Sciences | Rodrigues P.C.,New University of Lisbon | Rodrigues P.C.,European University of Portugal
Australian Journal of Crop Science | Year: 2014

The study of genotype-by-environment interaction (GEI) is of key importance in plant sciences because an understanding of this allows a great improvement in complex phenotypic traits. Genotypes and environments constitute a two-way factorial design. The phenotypic data for these studies, usually arranged in two-way data tables with genotypes and environments (location-year combinations). In plant breeding programs some genotypes are often discarded and others included from year to year, which results in the presence of missing values in these data sets. Several options are available for dealing with missing values in two-way data tables. One of the most widely used alternatives is the imputation of the missing cells using an expectation-maximization (EM) algorithm together with the additive main effects and multiplicative interaction (AMMI) model. In this paper we present a simulation study to investigate the influence of the pattern of missing values on the efficiency of the expectation-maximization AMMI (EM-AMMI) algorithm. Four scenarios are considered: one with cells missing completely at random; and three patterns with cells not missing at random (block-diagonal pattern, diagonal pattern and block-diagonal pattern with checks). The results are compared in terms of precision to estimate the missing cells and genotype selection.

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