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Dissertations / Theses on the topic 'Economia data-driven'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Ciandrini, Giovanni. "Elaborazione del linguaggio naturale nell'IA e tecnologie moderne: Sentiment Analysis come caso di studio." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8966/.

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L'informatica e le sue tecnologie nella società moderna si riassumono spesso in un assioma fuorviante: essa, infatti, è comunemente legata al concetto che ciò che le tecnologie ci offrono può essere accessibile da tutti e sfruttato, all'interno della propria quotidianità, in modi più o meno semplici. Anche se quello appena descritto è un obiettivo fondamentale del mondo high-tech, occorre chiarire subito una questione: l'informatica non è semplicemente tutto ciò che le tecnologie ci offrono, perchè questo pensiero sommario fa presagire ad un'informatica "generalizzante"; l'informatica invece

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On, Robert. "Data-driven Development| Essays on the Use of Mobile Phone Data and Information to Measure and Reduce Poverty." Thesis, University of California, Berkeley, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13421115.

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<p>Mobile phone ubiquity in much of the developing world has turned from a question of when rather than if. Some of the poorest and most remote parts of the world are being connected to the global telecommunications network to enable an unprecedented ability to both observe and interact with previously hard-to-reach populations at scale. While many mobile phone owners adopt this technology for basic phone use, the connectedness this expansive ownership enables presents an opportunity to the study and practice of economic development that extend beyond simple peer-to-peer communication. The mo

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Broms, Arvid, and Olsson Simon Liljenberg. "Data-driven Decision-making for Efficient & Sustainable Production." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297504.

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As a result of digitalization, previously analog systems in the manufacturing industry have become digitalized, including the decision-making processes. Companies are, therefore,becoming more dependent on data for strategic decisions. However, because of the rapid development of digitalization, companies are left blindfolded in the path towards smarter manufacturing which often leads to unsuccessful technological implementations. Therefore, the thesis will explore this problem by asking: What are the required initiatives for successfully implementing digital data-driven decision-making to impr

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Leo, Yannick. "Deep dive into social network and economic data : a data driven approach for uncovering temporal ties, human mobility, and socioeconomic correlations." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEN066/document.

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Dans cette thèse, j'étudie des jeux de données concernant des liens sociaux entre personnes (appels et SMS), leur mobilité ainsi que des informations économiques sur ces personnes, comme leur revenu et leurs dépenses. Les sept travaux couvrent un spectre assez large et apportent des contributions en informatique des réseaux mais aussi en sociologie, économie et géographie. Les questions posées sont très diverses. Comment quantifier la perte d'information causée par une agrégation de flot de liens en série de graphe ? Comment inférer les mouvements des utilisateurs quand on ne connaît que les l

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5

O'Malley, John Richard Jr. "Electronic Data Interchange: An Inventory Perspective of Its Economic Viability and Recommendations for Information Technology Driven Implementation." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/37365.

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Electronic commerce (EC) in its various forms is perceived by many organizations as the way that business will be conducted in the future. Much of the current wave of interest in EC is driven by new, readily available technologies like the Internet and the World Wide Web. The excitement regarding Web Commerce has lead many to believe that EC is relatively new. In reality, EC in the form of Electronic Data Interchange (EDI) has existed for 30 years and accounts for far more business than WC. It is the preferred, and often required, way of doing business with many large organizations such as t

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Andersson, Johan, and Amirhossein Gharaie. "It is Time to Become Data-driven, but How : Depicting a Development Process Model." Thesis, Högskolan i Halmstad, Akademin för företagande, innovation och hållbarhet, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-45353.

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Background: The business model (BM) is an essential part of firms and it needs to be innovated continuously to allow firms to stay or become competitive. The process of business model innovation (BMI) unfolds incrementally by re-designing or developing new activities in order to provide value propositions (VP). With increasing availability of data, pressure on BMI to orchestrate their activities towards putting data as a key resource and develop data-driven business models (DDBM) is growing. Problematization: The DDBM provides valuable possibilities by utilizing data to optimize current busine

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Galozy, Alexander. "Data-driven personalized healthcare : Towards personalized interventions via reinforcement learning for Mobile Health." Licentiate thesis, Högskolan i Halmstad, CAISR Centrum för tillämpade intelligenta system (IS-lab), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44091.

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Medical and technological advancement in the last century has led to the unprecedented increase of the populace's quality of life and lifespan. As a result, an ever-increasing number of people live with chronic health conditions that require long-term treatment, resulting in increased healthcare costs and managerial burden to the healthcare provider. This increase in complexity can lead to ineffective decision-making and reduce care quality for the individual while increasing costs. One promising direction to tackle these issues is the active involvement of the patient in managing their care.

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Marby, Josephine, and Ying Chen. "Ranking risks and opportunities of African cities : - A data-driven model to support MNE’s FDI strategies." Thesis, KTH, Industriell Management, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210315.

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The purpose of this paper is to build a model that incorporates current data of Africa, both regarding risks and opportunities into a strategic framework that should enable a more informed foreign direct investment decision for multinational enterprises (MNEs). The parameters used in the model were carefully chosen as determinants to foreign direct investment (FDI) based on extensive literature reviews. The model currently covers 101 major cities in 40 African countries. The model calculates and ranks indexes of African cities in terms of prospective investment opportunities. It is a general m

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9

Morselli, Luca. "Analisi e implementazione di un sistema di Data Visualization in relazione al modello organizzativo aziendale." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Le aziende oggi sono sopraffatte dall'enorme quantitativo di dati con cui hanno a che fare: una corretta archiviazione di questi è presupposto fondamentale per consentire un'accurata rappresentazione dei dati per poter poi essere analizzati da parte dei diversi attori aziendali. Per fare ciò si ricorre all'utilizzo di sistemi di Business Intelligence in grado di fornire un supporto fondamentale lungo tutto il processo decisionale a diversi livelli. L'elaborato ha dunque come scopo principale la presentazione delle tecniche di Data Visualization a supporto di tale processo in funzione del ruol

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Krumpe, Kati Petersen. "Linking Resource Allocation to Student Achievement: A Study of Title 1 and Title 1 Stimulus Utilization." Digital Commons at Loyola Marymount University and Loyola Law School, 2012. https://digitalcommons.lmu.edu/etd/244.

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With the emphasis on high standards and fiscal accountability, there is a heightened need to inform the research linking student achievement to the allocation of resources. This mixed methods inquiry sought to study how schools utilized Title 1 and Title 1 stimulus funding from 2009-2011 to determine if correlations existed between areas of resource utilization and student achievement by studying both the use of funding and the processes that fifteen elementary and middle Title 1 schools in southern California utilized. The focus was to document resource use of Title 1 and Title 1 stimulus all

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Nilsson, Viktor, and Arvid Westbroek. "Data-Driven Decision-Making for Sustainable Manufacturing Operations : An empirical study of supply chain operations within the Swedish manufacturing industry." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300389.

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A paradigm shift is taking place in the manufacturing industry, where companies strive for adopting digital tools to be able to compete against their competitors. The endeavor of becoming digitized is taking place simultaneously as the global awareness of sustainability increases. For the reasons that current literature is experiencing a knowledge gap that links data-driven processes, sustainability, and supply chain operations, there is a need for further exploration within this area. Therefore, the aim of this report is to investigate the business opportunities and challenges of data-driven

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Leijon, Anna Mikaelsdotter. "The Right Price - At What Cost? : A Multi-industry Approach in the Context of Technological Advancement." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217898.

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The business climate is undergoing a transformation and managers are faced with several challenges, not the least of which is related to pricing strategy. With an increased transparency in the market as well as anincreased competitive pressure, and with more sophisticated and well-informed consumers, retail businesses find it hard to navigate the pricing jungle. At the same time, the conventional wisdom in the field of pricing and the theoretical models on the topic, originate from a time long before the digitalization. Old models are not a problem in itself, but when there are new forces in t

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Vieira, Catarina João Moreira. "How is Artificial Intelligence impacting the beauty industry on making data-driven decisions?" Dissertação, 2020. https://hdl.handle.net/10216/129490.

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Vieira, Catarina João Moreira. "How is Artificial Intelligence impacting the beauty industry on making data-driven decisions?" Master's thesis, 2020. https://hdl.handle.net/10216/129490.

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Kuypers, Julian Lucien Jaak. "Spectandum: data driven product design for online art retail." Master's thesis, 2019. http://hdl.handle.net/10362/69601.

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The art market has seen a surge of online retailers in the past few years. It was one of the slower industries to adapt to the digital space. As of today, the online art market is worth over $3 billion; the digital art space is vaster than ever and has not consolidated into a handful of platforms as previously expected. Spectandum, a new dealer entering the online space, is looking for ways to become an omni-channel platform with a strong following. This report will give an overview of the online art market; how it differs from the physical art market, what customers expect, and what tre

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Lima, Antonio Miguel Furtado Costa Maia de. "Growth hacking, digital marketing and startup metrics - a data driven approach." Master's thesis, 2016. http://hdl.handle.net/10362/18240.

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The main goal of the work project is to discuss the importance of analytics and data driven decisions in startup companies, since they are frequently presented as neglected components within startups. In order to understand their benefits for startups several tools were used: literature review, questionnaires, interviews and a Startup Company as a case study. This Startup allowed this work project to focus on analytics and metrics, more precisely on those related with marketing area. Therefore, this work was conducted to propose several suggestions that will allow startups to grow in terms of

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17

Dias, Tiago Melo. "Can machine learning algorithms predict football players´ market values? A data-driven approach." Master's thesis, 2020. http://hdl.handle.net/10362/104504.

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Football players transfer fees have been increasing in an unprecedented manner in the last decade. As so, it is crucial for football clubs to correctly assess the value of its players. To tackle this problem, this thesis proposes a data-driven solution. After assembling a dataset with data regarding football players’ characteristics, on-field performance indicators and market values, Machine Learning algorithms were used to construct a prediction model. The final proposed modelis a Random Forest regression, whichregistered a coefficient of determination (R2)of 0.88in the test

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Rodrigues, Miguel Nogueira. "Structural health monitoring : a data-driven damage detection approach." Master's thesis, 2020. http://hdl.handle.net/10400.14/32098.

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Despite their importance, many Structural Health Monitoring (SHM) systems still rely on human inspection to verify the condition of the structure under analysis. Thus, the present work focus on creating an intelligent system that is able to detect damage automatically. This system is based on a real-life structure and the data collected in both undamaged and damaged states of the structure. Two SHM approaches are proposed. First, explanatory models supported by machine learning algorithms (linear regression, random forest, support vector machines and neural network) are used to predict the va

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19

Amorim, Inês Oliveira. "Analytical CRM in a management consulting firm : an application of data driven techniques." Master's thesis, 2021. http://hdl.handle.net/10400.14/34745.

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Considering the competitive environment in which companies operate nowadays and the importance of customer relationship management (CRM), it is crucial to analyse customer-related data to gain knowledge and insights about them in order to increase their retention and company’s performance. The presented investigation resulted from a curricular internship carried out at Inova+, a management consulting firm specialised in supporting the growth of organizations. In this sense, the aim of this investigation is to support the CRM system and the customer’s management strategies of Inova+, contribut

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20

Mendes, Rui Alexandrino Calção. "A data-driven approach to predict the success of IT banking projects." Master's thesis, 2018. http://hdl.handle.net/10071/17865.

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Financial institutions have recurrent Information Technology needs. These needs respond, among others, to innovation features, maintenance, customer needs, cost reductions, process simplifications, and operational risk minimizations. To do such implementations, financial institution X, as many others, has project management processes implemented to respond efficiently to internal departments’ requirements and needs, following standard project management practices. Some of these projects are concluded on time and on budget while others, for several reasons, have project changes in their

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21

Daum, Thomas. "Human-machine systems vs. the unemployment spell: how IEFP embraced data-driven decision making with profiling." Master's thesis, 2019. http://hdl.handle.net/10362/69618.

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Data-driven decision making and well-developed analytical capabilities are generally perceived as fundamental for being a competitive organization nowadays. Nevertheless, especially publicly-led organizations show little agility towards technical advancement and face difficulties in developing necessary capabilities. The following case demonstrates how the Portuguese national body for employment and professional training, IEFP, engaged in a data-driven “profiling” model to combat long-term unemployment (LTU). The case walks the reader through the whole project-lifecycle, starting with IEFP´s p

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Piehozki, Matthias. "Analytics as an isolating mechanism for start-ups with data-driven business models in the health care industry." Master's thesis, 2017. http://hdl.handle.net/10362/23466.

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The following work investigates whether the competence of turning data into relevant information can make companies in the health care industry less vulnerable to imitation by other companies. The objective is to present a first overview of this topic and thus close a gap in the respective field of research whilst also providing a practical insight for the affected companies. Within the process of research, the pertinent theory on corporate strategy has been elaborated with the use of secondary sources. For the empirical results, founders and decisionmaking executives of seven relevant c

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23

Hülsmann, Mailin. "Intelligent doctor patient matching: how José Mello saude experiments towards data-driven and patient-centric decision making." Master's thesis, 2018. http://hdl.handle.net/10362/52482.

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While data-driven decision-making is generally accepted as a fundamental capability of a competitive firm, many firms are facing difficulties in developing this capability. This case demonstrates how a private healthcare organization, José de Mello Saúde, engages in collaboration with a global university-led program for such capability building, in a pilot project of intelligent doctor-patient matching. The case walks the reader through the entire data science pipeline, from project scoping to data curation, modelling, prototype testing, until implementation. It enables discussions on ho

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Bandeira, Mariana Marques Gomes Brandão. "Data-driven decision making in social impact sector in Portugal: state of the art, challenges, and opportunities for improvements." Master's thesis, 2020. http://hdl.handle.net/10362/107277.

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Technological development contributed to the increasing availability of data and the capacity to process it. Data-driven decision-making became affordable and a source of competitive advantage for profit-seeking organizations. However, the third sector is falling behind in the adoption of data science. Evidence lacksin the scholarly literature of critical resources affecting social-good-oriented organizations’adoption decisions. This thesis aims to fill this gap throughan empirical investigation of data science usage among Portuguese social economy entities. A mix

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Evensen, Thomas. "Fishy business : closing the gap between data-driven decision-making (DDM) and aquaculture : an analysis of incumbents in the norwegian aquaculture industry (NAI) and the use of big data for competitive advantage." Master's thesis, 2020. http://hdl.handle.net/10400.14/29687.

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Enterprises and industries are becoming heavily reliant upon data-driven decision-making (DDM) to maintain their competitive edge. Artificial Intelligence (AI), Machine Learning (ML) and sensor-technology through the Internet of Things (IoT) are allowing businesses to mitigate uncertainty central to operations and increase overall business agility. As such new and ground-breaking disruptive innovations (DI) make their way into an industry, incumbents tend to fall victim to what Clayton Christensen term The Innovator’s Dilemma (TID). Somewhat naturally, as such technology does not yield a clear

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Cierco, Agliberto Alves. "Uso de sistemas multidimensionais e algoritmos de data mining para implantação do método Time Driven Activity Based Costing (TDABC) em organizações orientadas por projectos." Doctoral thesis, 2015. http://hdl.handle.net/10071/13456.

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JEL: M150 e M410<br>Quando o método ABC (Activity Based Costing) foi apresentado para o rateio de custos de actividades de processos gerenciais, representou uma profunda modificação em relação aos métodos anteriormente utilizados. Logo ficaram patentes as enormes vantagens que trazia assim como os desafios em implementálo. O método TDABC (Time Driven Activity Based Costing) surgiu devido justamente às dificuldades operacionais do uso do ABC. Ao invés do uso de estimativas, normalmente dadas pelo corpo de funcionários da empresa, do percentual de tempo gasto em cada actividade, o TDABC p

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Silva, Stefan Santos Maciel. "Desenvolvimento de um modelo para apoio à tomada de decisão na gestão dos gastos da Marinha do Brasil." Master's thesis, 2020. http://hdl.handle.net/1822/69135.

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Proposta de projeto de mestrado em Estudos de Gestão<br>Em todo o mundo, governos enfrentam um desafio sem fim de promover um número cada vez maior de serviços públicos com o mesmo (ou até menor) volume de gastos a cada ano. Aprimorar a eficiência dos gastos no setor público significa potencializar a capacidade de atuação do estado, bem como garantir que o mesmo responda adequadamente àqueles que o financiam: seus cidadãos. Neste contexto, as tecnologias da informação e comunicação são a base para muitas das ideias inovadoras que permitem reduzir custos e, ao mesmo tempo, promover a quali

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28

Hayashi, Takaki. "Hedging of contingent claims under model uncertainty : a data-driven approach /." 2000. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:9965087.

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Corti, Francesco. "Inboundware Consulting Project : reshaping the business model to internationalize a start-up." Master's thesis, 2020. http://hdl.handle.net/10400.14/31237.

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Inboundware is a Portuguese digital marketing consulting start-up that seeks to expand its business internationally to increase the quality of its services by enhancing the skills it has developed. The start-up is evaluating a potential country to implement an entry strategy to successfully internationalize its digital marketing services for the tourism industry. Focusing and specializing in tourism, Inboundware wants to reshape its business model to be competitive and resilient in the targeted foreign market. This thesis offers a study of the tourism industry and its related marketing activ

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"Underutilized Spaces and Marginal Lands for Sustainable Land Use: A Multi-Scale Analysis." Doctoral diss., 2020. http://hdl.handle.net/2286/R.I.56973.

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abstract: Drawn from a trio of manuscripts, this dissertation evaluates the sustainability contributions and implications of deploying underutilized spaces for alternative uses at multiple scales: urban, regional and continental. The first paper considers the use of underutilized spaces at the urban scale for urban agriculture (UA) to meet local sustainability goals in Phoenix, Arizona. Through a data-driven analysis, it demonstrates UA can meet 90% of annual demand for fresh produce, supply local produce in all food deserts, reduce areas underserved by public parks by 60%, and displace >50,00

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