981 resultados para Organizational Competitive Intelligence (OCI)
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The purpose of this work is to understand the internal and external structure in which the company operates to provide an idea of the strategic actions needed to accomplish their organizational objectives. A strategic software was employed to build up phase one and phase two, phase one involved analysing internal and external factors that influence the company, comprehending their core competences, factors that influence the market and identification of strengths and weaknesses. Phase two consisted on providing an idea of their real competitive position and the suggestion of a development strategy, given the possible limitations in the external factors, the company should carefully analyse some of the opportunities present in the industry overseas to continue to develop their business and increase its profitability. Furthermore, a source of competitive advantage was found in their outbound logistics which could serve a differentiator between their competitors.
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This Work Project presents human resources as one of the major challenges that Portuguese leaders meet in Angola and Mozambique. The main goal is to understand the role of leaders in translating this challenge into benefits for their own business and the African society. To conduct this study 13 leaders who work in Portugal and Africa were interviewed. Then, a framework was constructed based on the two ways these leaders recognize the importance of their employees for sustainable growth – financial incentives or/and personal development. The main conclusion here is that individually, incentives and personal development are not effective methods. Because of this, an employee empowerment process is proposed that encloses both, along with the leaders’ personal qualities needed to implement that “ideal” process.
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Evaluation of Cyclosporin A (CyA) blood concentration is imperative in solid organ transplantation in order to achieve maximal immunosuppression with the least side effects. We compared the results of whole blood concentrations of CyA in 50 blood samples simultaneously evaluated by the fluorescent polarization immune assay (TDx) and the enzymatic competitive immune assay (EMIT 2000). There was a strong correlation between both kits for any range of CyA blood concentration (R=0.99, p<0.001). The within-run and between-days coefficient of variation were less than 4% for both assays. The cost for each CyA measurement was 50% lower for the EMIT assay when compared to the TDx assay. We concluded that the EMIT is as accurate as the TDx in measuring CyA blood concentration and has the advantage of a lower cost, as well as the possibility of widespread access to the EMIT methodology in contrast to the TDx equipment, allowing the laboratory to perform several routines within a working day.
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This is a pre-copyedited, author-produced PDF of an article accepted for publication in Journal of Business Ethics following peer review. The version of record Neves, P., & Story, J. (2015). Ethical Leadership and Reputation: Combined Indirect Effects on Organizational Deviance. Journal of Business Ethics, 127(1), 165–176. “The final publication is available at Springer via http://dx.doi.org/10.1007/s10551-013-1997-3”.
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Outrora dominado por ameaças provenientes de Estados-nação, o cenário global actual, dominado por uma rápida mudança de poderes que nos apresenta uma interacção complexa entre múltiplos actores, onde inimigos desconhecidos, anteriormente bem identificados, é actualmente controlado por grupos terroristas bem preparados e bem organizados. Hezbollah é reconhecido como um dos grupos terroristas mais capazes, com uma extensa rede fora do Líbano dedicada a tráfico de droga, armas e seres humanos, tal como o branqueamento de capitais para financiar o terrorismo, representando um grande foco de instabilidade à segurança. Como instrumento de Estado, os serviços de informações detêm a capacidade de estar na linha da frente na prevenção e combate ao terrorismo. Todavia, para compreender este fenómeno é necessário analisar os actores desta ameaça. À luz desta conjuntura, esta dissertação está dividida em três capítulos principais que visam responder às seguintes questões fundamentais: O que é o terrorismo? Como opera um grupo terrorista transnacional? Será que os serviços de informações têm as ferramentas necessárias para prevenir e combater estas ameaças?
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Servant leadership theory has been the subject of great academic discussion, namely in what concerns reaching a consensus for its definition. As many frameworks have been designed in order to define the servant leader’s characteristics, we based ourselves in van Dierendonck’s review and synthesis on servant leadership (2011) to assess how it is perceived in a Portuguese organizational context. After performing several interviews in a private health care organization, we conclude that the perception of servant leadership is generally positive and that its characteristics seem to be in line with academic literature. However, some issues arose such as a seemingly lack of relevance given to authenticity and humility, the latter being a unique attribute of servant leadership. Also, we found a discrepancy between hierarchical levels’ perception of servant leadership characteristics as well as questioning if an over emphasis on service can diminish the servant leader’s impact on organizational performance.
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Forgiveness has been subject of interest, mainly in the psychology fields of study. Relatively to the organizational context, this topic has been somehow put aside and settled as something that is purely an intra-individual phenomenon which organizations cannot force, or even stimulate. As conflicts are common within organizations and being often difficult to overcome, eyes have turned into the role forgiveness might take in this scenario. Despite forgiveness being accepted as an intrapersonal decision and a result of predisposition as it is a result of education and culture. This study, as some already done, refuses to accept forgiveness as an unchangeable behavior that cannot be manipulated or induced by managers or by organizational context. Therefore, offering a set of incidents as well as their classification, that have been identified by individuals performing different types organizational roles in different organization which is believed as being a genuine way of delivering to the reader a set of actions and behaviors that if taken, may incentivize or inhibit forgiveness.
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This thesis explores how multinational corporations of different sizes create barriers to imitation and therefore sustain competitive advantage in rural and informal Base of the Pyramid economies. These markets require close cooperation with local partners in a dynamic environment that lacks imposable property rights and follows a different rationale than developed markets. In order to explore how competitive advantage is sustained by different sized multinational corporations at the Base of the Pyramid, the natural-resource-based view and the dynamic capabilities perspective are integrated. Based on this integration the natural-resource-based view is extended by identifying critical dynamic capabilities that are assumed to be sources of competitive advantage at the Base of the Pyramid. Further, a contrasting case study explores how the identified dynamic capabilities are protected and their competitive advantage is sustained by isolating mechanisms that create barriers to imitation for a small to medium sized and a large multinational corporation. The case study results give grounds to assume that most resource-based isolating mechanisms create barriers to imitation that are fairly high for large and established multinational corporations that operate at the rural Base of the Pyramid and have a high product and business model complexity. On the contrary, barriers to imitation were found to be lower for young and small to medium sized multinational corporations with low product and business model complexity that according to some authors represent the majority of rural Base of the Pyramid companies. Particularly for small to medium sized multinational corporations the case study finds a relationship- and transaction-based unwillingness of local partners to act opportunistically rather than a resource-based inability to imitate. By offering an explanation of sustained competitive advantage for small to medium sized multinational corporations at the rural Base of the Pyramid this thesis closes an important research gap and recommends to include institutional and transaction-based research perspectives.
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This study aimed to understand employees’ reactions to organizational politics in Contact Centers. Drawing from a sample of 187 supervisor-employee dyads, we studied the relationship between employees’ perceptions of organizational politics and supervisor-rated task performance and deviance, and mediation effects by authenticity at work and affective commitment. Results indicate that workers tend to react to workplace politics with deviant behavior and worse task performance. We found that the relationship between perceived politics and task performance was mediated by authenticity. The relationship between perceived politics and supervisor-rated deviance was mediated by affective commitment to the organization. Implications for management are discussed.
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Although, the word “Love” in organizations is seen as a rare concept, but it has gained importance in management theoretical foundation. This study seeks to explore the companionate love in distinct of organizational forms (Private companies; Social organizations; NGO and IPSS) through interviews. The results propose that it is a tensional concept with a complex dynamic: tension of personal behavior, tension of professional behavior; tension of individual impact and tension of community impact. The love dynamic has common points to all organizations, but its expression depends on the specific form of the organization.
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A single supply chain management (SCM) practice will have a certain impact on organizational performance(OP). However, since it is placed in a system that many other practices are conducted simultaneously, the practice itself will interact with other ones and have a greater impact on OP. This mechanism is named the "resonant" influence. The technique of Structural equation modelling (SEM) was used to test the above mechanism with data collected from Vietnamese garment enterprises. The tcst results showed that the model without mutual interaction among SCM practices could explain 42.8%, 26.3% and 34% variance of operational performance, customer satisfaction and financial performance. While the one containing this interaction is capable to explain 69.5%, 33.1% and 57.3%, respectively.
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Earthworks involve the levelling or shaping of a target area through the moving or processing of the ground surface. Most construction projects require earthworks, which are heavily dependent on mechanical equipment (e.g., excavators, trucks and compactors). Often, earthworks are the most costly and time-consuming component of infrastructure constructions (e.g., road, railway and airports) and current pressure for higher productivity and safety highlights the need to optimize earthworks, which is a nontrivial task. Most previous attempts at tackling this problem focus on single-objective optimization of partial processes or aspects of earthworks, overlooking the advantages of a multi-objective and global optimization. This work describes a novel optimization system based on an evolutionary multi-objective approach, capable of globally optimizing several objectives simultaneously and dynamically. The proposed system views an earthwork construction as a production line, where the goal is to optimize resources under two crucial criteria (costs and duration) and focus the evolutionary search (non-dominated sorting genetic algorithm-II) on compaction allocation, using linear programming to distribute the remaining equipment (e.g., excavators). Several experiments were held using real-world data from a Portuguese construction site, showing that the proposed system is quite competitive when compared with current manual earthwork equipment allocation.
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Special issue guest editorial, June, 2015.
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telligence applications for the banking industry. Searches were performed in relevant journals resulting in 219 articles published between 2002 and 2013. To analyze such a large number of manuscripts, text mining techniques were used in pursuit for relevant terms on both business intelligence and banking domains. Moreover, the latent Dirichlet allocation modeling was used in or- der to group articles in several relevant topics. The analysis was conducted using a dictionary of terms belonging to both banking and business intelli- gence domains. Such procedure allowed for the identification of relationships between terms and topics grouping articles, enabling to emerge hypotheses regarding research directions. To confirm such hypotheses, relevant articles were collected and scrutinized, allowing to validate the text mining proce- dure. The results show that credit in banking is clearly the main application trend, particularly predicting risk and thus supporting credit approval or de- nial. There is also a relevant interest in bankruptcy and fraud prediction. Customer retention seems to be associated, although weakly, with targeting, justifying bank offers to reduce churn. In addition, a large number of ar- ticles focused more on business intelligence techniques and its applications, using the banking industry just for evaluation, thus, not clearly acclaiming for benefits in the banking business. By identifying these current research topics, this study also highlights opportunities for future research.
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Earthworks tasks aim at levelling the ground surface at a target construction area and precede any kind of structural construction (e.g., road and railway construction). It is comprised of sequential tasks, such as excavation, transportation, spreading and compaction, and it is strongly based on heavy mechanical equipment and repetitive processes. Under this context, it is essential to optimize the usage of all available resources under two key criteria: the costs and duration of earthwork projects. In this paper, we present an integrated system that uses two artificial intelligence based techniques: data mining and evolutionary multi-objective optimization. The former is used to build data-driven models capable of providing realistic estimates of resource productivity, while the latter is used to optimize resource allocation considering the two main earthwork objectives (duration and cost). Experiments held using real-world data, from a construction site, have shown that the proposed system is competitive when compared with current manual earthwork design.