2023
Authors
Moreira, A; Nishimura, A; Sousa, MJ; Au Yong Oliveira, M;
Publication
INDUSTRIAL AND COMMERCIAL TRAINING
Abstract
PurposeThis study aims at validating a scale for the perception of competences and attitudes of the Portuguese public administration employees. The sample of this study consists of 1,119 participants working in public administration and other labour sectors in Portugal. The psychometric qualities of this instrument were studied to assess its use in future studies. Design/methodology/approachAn initial exploratory factor analysis showed that the scale is composed of one factor, with a Kaiser-Meyer-Oklin value of 0.83. The subsequent confirmatory factor analysis performed in AMOS 27 confirmed the existence of a single factor. FindingsThe analysis of the psychometric qualities of the scale allows concluding that it can be applied in the context of the Portuguese public administration. Originality/valueGiven the universality of the competences and attitudes adopted, it can be extended to other work and cultural contexts.
2023
Authors
Rodrigues, J; Caiado, F; Fonseca, J; Silva, J; Neves, S; Moreira, A; Au-Yong-Oliveira, M; Gonçalves, R; Branco, F;
Publication
Abstract
2023
Authors
Branco, F; Gonçalves, C; Gonçalves, R; Moreira, F; Au Yong Oliveira, M; Martins, J;
Publication
Lecture Notes in Networks and Systems
Abstract
The thermal SPA sector is currently experiencing a stable growth trend, which according to the World Tourism Organization (WTO) is expected to continue over the upcoming years. In Portugal, the sector has a very significant profile, with the existence of almost a hundred SPAs and thermal SPAs that generate a business volume (direct and indirect) of over 30 M€ per year. Although the beginning of the process of digital transformation of the sector is already visible, there is no holistic view of the sector which means that the currently existing information systems (IS) do not present a useful response to the needs faced by the sector. Therefore, an architecture proposal was conceived and described for an IS that provides a useful, efficient, and agile response to the needs of the entire thermalism sector and its stakeholders. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
2023
Authors
Andrez, B; van Zeller, M; Coelho, A; Homem, PM; Pinto, MM;
Publication
ICERI2023 Proceedings - ICERI Proceedings
Abstract
2023
Authors
Laussel, D; Long, NV; Resende, J;
Publication
MANAGEMENT SCIENCE
Abstract
We consider a nondurable good monopolist that collects data on its customers in order to profile them and subsequently practice price discrimination on returning cus-tomers. The monopolist's price discrimination scheme is leaky in the sense that an endogenous fraction of consumers choose to incur a privacy cost to conceal their identity when they return in the following periods. We characterize the Markov perfect equili-brium of the game under two alternative customer profiling regimes: full information acquisition (FIA) and purchase history information (PHI). In both cases, we find that, contrary to what could be expected, the monopolist's aggregate profit is not monotoni-cally increasing in the level of the privacy cost, but a U-shaped function of it, leading to ambiguous profit effects: a reduction in privacy costs increases the fraction of customers who choose to be anonymous (detrimental profit effect), but it also softens the firm's introductory price, reducing the pace at which prices targeted to new customers fall over time (positive profit effect). When comparing results under FIA and PHI, we find that market expansion is faster, and more customers conceal their identity under FIA than under PHI. Equilibrium profits are also higher in the FIA case. Although equili-brium profits are U-shaped functions of the privacy cost in both profiling regimes, they tend to be globally decreasing with the privacy cost under PHI and globally increasing under FIA.
2023
Authors
Costa, J; Tashakori, N;
Publication
QUALITY INNOVATION AND SUSTAINABILITY, ICQIS 2022
Abstract
Disentangling innovation from growth is unrealistic in the present times. Also, anticipating the future behavior of innovative firms is relevant to the entire innovation ecosystem; and assessing the persistence of innovation and appraising the role of factors affecting ongoing innovation activities in firms is essential. This chapter discusses a very important subject related to the concept of innovation persistence in relation to structural innovation characteristics of firms, with a focus on technological regimes, to better understand if there is change in innivation continuity accordingly to the technological intensity embedded in the sector. The empirical research is based on data from CIS database, comprising 3237 firms which present in the 2014 and 2018 waves. We analyze the innovative persistence behavior of these firms regarding proxies like firm dimension, innovation activities, types of innovation, government funding, and more importantly, technological regimes. To do this, we applied binary logistic regression for developing a model which can forecast the drivers of innovation persistency propensity. The presented study shows that some very important results are achieved. Besides demonstrating innovative persistency in 75% of science-based firms, the findings confirm that firms in high-tech and science-based industries are more prone to continue innovating and, as a result, this consistency in innovation will generate virtuous cycles of innovation. Furthermore, our data shows that complex innovators are more likely to persist than single innovators, proving the existence of complementarities among the innovation types.
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