957 resultados para Venture Creation Process
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In the last few years, we have observed an exponential increasing of the information systems, and parking information is one more example of them. The needs of obtaining reliable and updated information of parking slots availability are very important in the goal of traffic reduction. Also parking slot prediction is a new topic that has already started to be applied. San Francisco in America and Santander in Spain are examples of such projects carried out to obtain this kind of information. The aim of this thesis is the study and evaluation of methodologies for parking slot prediction and the integration in a web application, where all kind of users will be able to know the current parking status and also future status according to parking model predictions. The source of the data is ancillary in this work but it needs to be understood anyway to understand the parking behaviour. Actually, there are many modelling techniques used for this purpose such as time series analysis, decision trees, neural networks and clustering. In this work, the author explains the best techniques at this work, analyzes the result and points out the advantages and disadvantages of each one. The model will learn the periodic and seasonal patterns of the parking status behaviour, and with this knowledge it can predict future status values given a date. The data used comes from the Smart Park Ontinyent and it is about parking occupancy status together with timestamps and it is stored in a database. After data acquisition, data analysis and pre-processing was needed for model implementations. The first test done was with the boosting ensemble classifier, employed over a set of decision trees, created with C5.0 algorithm from a set of training samples, to assign a prediction value to each object. In addition to the predictions, this work has got measurements error that indicates the reliability of the outcome predictions being correct. The second test was done using the function fitting seasonal exponential smoothing tbats model. Finally as the last test, it has been tried a model that is actually a combination of the previous two models, just to see the result of this combination. The results were quite good for all of them, having error averages of 6.2, 6.6 and 5.4 in vacancies predictions for the three models respectively. This means from a parking of 47 places a 10% average error in parking slot predictions. This result could be even better with longer data available. In order to make this kind of information visible and reachable from everyone having a device with internet connection, a web application was made for this purpose. Beside the data displaying, this application also offers different functions to improve the task of searching for parking. The new functions, apart from parking prediction, were: - Park distances from user location. It provides all the distances to user current location to the different parks in the city. - Geocoding. The service for matching a literal description or an address to a concrete location. - Geolocation. The service for positioning the user. - Parking list panel. This is not a service neither a function, is just a better visualization and better handling of the information.
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Nowadays, the consumption of goods and services on the Internet are increasing in a constant motion. Small and Medium Enterprises (SMEs) mostly from the traditional industry sectors are usually make business in weak and fragile market sectors, where customized products and services prevail. To survive and compete in the actual markets they have to readjust their business strategies by creating new manufacturing processes and establishing new business networks through new technological approaches. In order to compete with big enterprises, these partnerships aim the sharing of resources, knowledge and strategies to boost the sector’s business consolidation through the creation of dynamic manufacturing networks. To facilitate such demand, it is proposed the development of a centralized information system, which allows enterprises to select and create dynamic manufacturing networks that would have the capability to monitor all the manufacturing process, including the assembly, packaging and distribution phases. Even the networking partners that come from the same area have multi and heterogeneous representations of the same knowledge, denoting their own view of the domain. Thus, different conceptual, semantic, and consequently, diverse lexically knowledge representations may occur in the network, causing non-transparent sharing of information and interoperability inconsistencies. The creation of a framework supported by a tool that in a flexible way would enable the identification, classification and resolution of such semantic heterogeneities is required. This tool will support the network in the semantic mapping establishments, to facilitate the various enterprises information systems integration.
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Field Lab in Entrepreneurial Innovative Ventures
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This work project (WP) is a study about a clustering strategy for Sport Zone. The general cluster study’s objective is to create groups such that within each group the individuals are similar to each other, but should be different among groups. The clusters creation is a mix of common sense, trial and error and some statistical supporting techniques. Our particular objective is to support category managers to better define the product type to be displayed in the stores’ shelves by doing store clusters. This research was carried out for Sport Zone, and comprises an objective definition, a literature review, the clustering activity itself, some factor analysis and a discriminant analysis to better frame our work. Together with this quantitative part, a survey addressed to category managers to better understand their key drivers, for choosing the type of product of each store, was carried out. Based in a non-random sample of 65 stores with data referring to 2013, the final result was the choice of 6 store clusters (Figure 1) which were individually characterized as the main outcome of this work. In what relates to our selected variables, all were important for the distinction between clusters, which proves the adequacy of their choice. The interpretation of the results gives category managers a tool to understand which products best fit the clustered stores. Furthermore, as a side finding thanks to the clusterization, a STP (Segmentation, Targeting and Positioning) was initiated, being this WP the first steps of a continuous process.
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Software as a service (SaaS) is a service model in which the applications are accessible from various client devices through internet. Several studies report possible factors driving the adoption of SaaS but none have considered the perception of the SaaS features and the pressures existing in the organization’s environment. We propose an integrated research model that combines the process virtualization theory (PVT) and the institutional theory (INT). PVT seeks to explain whether SaaS processes are suitable for migration into virtual environments via an information technology-based mechanism. INT seeks to explain the effects of the institutionalized environment on the structure and actions of the organization. The research makes three contributions. First, it addresses a gap in the SaaS adoption literature by studying the internal perception of the technical features of SaaS and external coercive, normative, and mimetic pressures faced by an organization. Second, it empirically tests many of the propositions of PVT and INT in the SaaS context, thereby helping to determine how the theory operates in practice. Third, the integration of PVT and INT contributes to the information system (IS) discipline, deepening the applicability and strengths of these theories.
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This report will describe the activities undertaken during my internship at the Personnel Department (DPE-UPE4.1) in Caixa Geral de Depósitos (CGD), Lisbon, between September 22, 2014, and February 28, 2015. I consider that it is important to note from the outset i) that the subject of my training was suggested by my supervisor in the DPE and accepted by me; and ii) that the internship consisted essentially of carrying out research and information gathering into the different social systems that coexist within the bank and the application of each legal system in solving concrete situations of the CGD employees. The research and analysis of information was important not only for my study but for the CGD itself, as it enables the department to have such an important matter, full of specific characteristics, condensed into a single document, i.e. this report. This is a complex reality. The various welfare systems differ according to the contractual agreement linking the employee to the employer at the date when the labour contract is signed, and also the unique/singular characteristics of the CGD. In the early stage I started by trying to understand the financial institution and its organization and role and the department where I worked. So I analyzed the CGD Statutes and the legal measures that crystallized the scheme for its employees and I also researched its domestic and international operations. The first month was devoted to the research and analysis of such legislation to understand the creation of the CGD and its path to date. In the second and third months I studied the legal social systems that are applied to different groups of CGD workers. This period was quite important to identify and understand the differences between those regimes of CGD employees as well as the procedure inherent in each case. I highlighted the non-implementation of “the social protection regime of convergence” to the workers of this institution; the differences regarding the allocation of sickness subsidies paid to workers who belong to Social Security and CGA contributors, as well as the enforcement of internal rules to all the workers when a work-related accident happens. Then I focused on to assessing and examining external legislation and several internal regulations in order to obtain solutions to questions raised and situations involving by the workers, in order to understand how the DPE solves these situations. Over the last three months of internship, after this more theoretical work, I began the analysis of concrete situations involving employees carrying out their duties in Portugal and abroad. Some of these situations had been received by the department before the beginning of my internship and others over this period. When I was “working” in the DPE I analyzed “cases” that had been solved and some others without a final solution because they were still in courts. As for the last ones (new cases) I was able to follow their assessment and sometimes their outcome. Some of them became study cases for me. Over these five months of my internship, several cases were analyzed and discussed by legal experts of DPE in which I could participate. I always worked hard. I know that this action contributed to elucidate me about the treatment of the issues, and allowed me to have a direct contact with some workers and be part of a dynamic work team. For these reasons, my internship report is not merely descriptive of activities. It consists of an analysis of rules (legislation) and a regulatory framework of activities and it is also a description of several specific situations solved or in a solution process. Through this work I intend to make known the particular reality of a modern Portuguese financial institution not only because of its importance in our country but also such a large number of employees work here (in Portugal and abroad). I should add that throughout my internship I was allowed to attend conferences, within the scope of the bank in order to get a broader view of some issues related to the daily life of the DPE and the CGD. So, I participated in I Jornadas Bancárias and the Conferência Internacional do Contrato a Termo, given that the CGD is a bank and the DPE deals with legal and labour relations.
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This thesis evaluates a start-up company (Jogos Almirante Lda) whose single asset is a board game named Almirante. It aims to conclude whether it makes sense to create a company or just earn copyrights. The thesis analyzes the board game’s market, as part of the general toy’s market, from which some data exists: European countries as well as the USA. In this work it is analyzed the several ways to finance a start-up company and then present an overview of the valuation of the Jogos Almirante based on three different methods: Discounted Cash Flow, Venture Capital Method and Real Options.
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This paper is mainly concerned with the tracking accuracy of Exchange Traded Funds (ETFs) listed on the London Stock Exchange (LSE) but also evaluates their performance and pricing efficiency. The findings show that ETFs offer virtually the same return but exhibit higher volatility than their benchmark. It seems that the pricing efficiency, which should come from the creation and redemption process, does not fully hold as equity ETFs show consistent price premiums. The tracking error of the funds is generally small and is decreasing over time. The risk of the ETF, daily price volatility and the total expense ratio explain a large part of the tracking error. Trading volume, fund size, bid-ask spread and average price premium or discount did not have an impact on the tracking error. Finally, it is concluded that market volatility and the tracking error are positively correlated.
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Wine Tourism is gaining importance in today’s world and more destinations and establishments have been arising. After understanding the importance of this economic activity and the factors it must have to succeed, a new project was conceived for Central Alentejo taking into account its potential. This project is an example of how to take advantage of Wine Tourism in wine regions that are underexplored, such as Aldeias de Montoito, the village near Redondo to which a Business Plan will be created, explaining the strategies to pursue in order to have a successful Wine Tourism destination.
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Field lab: Consumer insights
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This dissertation analyzes the possibilities of utilizing speech-processing technologies to transform the user experience of ActivoBank’s customers while using remote banking solutions. The technologies are examined through different criteria to determine if they support the bank’s goals and strategy and whether they should be incorporated in the bank’s offering. These criteria include the alignment with ActivoBank’s values, the suitability of the technology providers, the benefits these technologies entail, potential risks, appeal to the customers and impact on customer satisfaction. The analysis suggests that ActivoBank might not be in a position to adopt these technologies at this point in time.
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This paper reveals how Grameen has been following a Glocal vision in microfinance and defends that following such will ultimately benefit the social and financial objectives of microfinance institutions. Furthermore, this study identified that microfinance institutions are facing various environmental and organizational constraints in the implementation of a Glocal approach. The research follows a case-study methodology and makes a comparison between Grameen Bank, two of its replicator programs in Pakistan and India and two microfinance organizations in Portugal and France.
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This paper purposes a method for marketing segmentation based on customers‟ lifestyle. A quantitative and qualitative segmentation established by the Whitaker Lifestyle™ Method was created in order to define a concrete and clear identification of the customer, by understanding the behavior, style and preferences of each segment. After conducting 18 in-depth interviews, it was concluded that four main personas characterize the customer base of the company. These four personas will be the support for the creation of „quick-wins‟ that address to the expectations of each lifestyle, projecting a significant impact on the lifetime-value of the company‟s customer base
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Due to external constraints (opposed by the market and legal system) and internal changes nonprofit organizations have been converting to for-profit entities combining commercial revenue and social value creation. To create an understanding of the conversion process considering its challenges, the reasons, the decision-making process and key success factors of a conversion are examined. Therefore, a two-step research procedure is used combining literature research and a multiple case study approach based on expert interviews with known companies. The outcome is a helpful guideline (including a decision matrix) for social entrepreneurs that might face a conversion.
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Currently the world swiftly adapts to visual communication. Online services like YouTube and Vine show that video is no longer the domain of broadcast television only. Video is used for different purposes like entertainment, information, education or communication. The rapid growth of today’s video archives with sparsely available editorial data creates a big problem of its retrieval. The humans see a video like a complex interplay of cognitive concepts. As a result there is a need to build a bridge between numeric values and semantic concepts. This establishes a connection that will facilitate videos’ retrieval by humans. The critical aspect of this bridge is video annotation. The process could be done manually or automatically. Manual annotation is very tedious, subjective and expensive. Therefore automatic annotation is being actively studied. In this thesis we focus on the multimedia content automatic annotation. Namely the use of analysis techniques for information retrieval allowing to automatically extract metadata from video in a videomail system. Furthermore the identification of text, people, actions, spaces, objects, including animals and plants. Hence it will be possible to align multimedia content with the text presented in the email message and the creation of applications for semantic video database indexing and retrieving.