Thèses sur le sujet « Intelligence economica »
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1
Ciani, Gabriele <1993>. « Portfolio Selection with Swarm Intelligence ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/12769.
Texte intégralRésumé :
The introduction of budget, cardinality and composition constraints to the portfolio selection problem implies the utilization of modern techniques for the achievement of the solution.
In particular, this thesis will analyse Particle Swarm Optimization, a bio-inspired metaheuristic algorithm that aims to explore the search space in order to find optimal solutions.
The problem considered consists in the minimization of a coherent risk measure, the expected shortfall, subject to risk adjusted performance constraints, budget, cardinality and fractions constraints.
In practice, a chosen number of particles are exploring the set of feasible solutions. To the position of each particle is assigned a value of the objective function which accounts for the risk measure and for penalties associated to the constraints.
Particles move according to signals given by their neighbors, by the particle with the best result and by their own memory.
The implementation of the PSO algorithm is used to find a feasible and well diversified portfolio composed by Exchange Traded Funds sold on the Italian market, Borsa Italiana.
2
Lattanzi, Giovanni <1990>. « La Business Intelligence nell'era dei Big Data ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/14615.
Texte intégralRésumé :
"Nel giro di due giorni produciamo la stessa quantità di dati generati dagli albori della civiltà sino al 2003", sostiene nel 2010 Eric Schmidt. Secondo IBM, entro il 2020 il mondo avrà generato una massa di dati dell'ordine dei 40 zettabyte (1021 Byte). Queste dichiarazioni danno, un’idea sulla mole di dati con cui un’azienda, organizzazione deve fare i conti. Il mondo odierno è sommerso dai Big Data, provenienti dalle più svariate fonti.
A partire da questa constatazione, il seguente lavoro si interroga su come si sia evoluta l’attività di Business Intelligence, e in che modo tale evoluzione possa portare enormi contributi al business. Nella prima parte dell’elaborato verrà proposta una esaustiva descrizione del perché le società necessitano di informazioni e di come il Sistema Informativo (e la Business Intelligence) creano informazioni utili. L’elaborato proseguirà cercando di definire che cosa sono i Big Data, e di arrivare a definire una metodologia che un’azienda deve seguire per implementare un sistema di Business Intelligence. Infine si andranno a descrivere gli strumenti preposti alla gestione e analisi dei Big Data, e alla luce di tali strumenti, verrà effettuata un’analisi sui dati provenienti dal Social Network: Twitter. Evidenziando in che modo i Big Data possono essere un’enorme opportunità per le aziende che decidono di investire su di essi.
3
Dall'Anese, Davide <1994>. « The impact of Artificial Intelligence on unemployment : a systematic literature review ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/17930.
Texte intégralRésumé :
The world is currently witnessing the effects of that period of fast technological advancements which has become known as the “Fourth industrial revolution”. Featuring it, there is the introduction of a broad set of new technologies, like big data and analytics, 3-D printing, the internet of things, and autonomous robots. If, on the one hand, the introduction of Artificial Intelligence allows firms to perform a wide range of tasks more efficiently, on the other hand, there are bad consequences its implementation may lead to. The focus of this thesis is the relationship between employment and Artificial Intelligence. Experts in the AI field and part of the literature warn about the massive technological unemployment that might occur in the near future. The common thinking is that thanks to AI, practically all jobs might be done by machines. In order to find out if the implementation of AI machines leads to unemployment, a systematic literature review is undertaken. The findings show the actual scenario is more complicated, with many factors to be taken into consideration.
4
Scapolo, Marco <1988>. « L'applicazione della Business Intelligence e delle tecniche di CRM nella pianificazione strategica di marketing : il caso CEEI Srl ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2014. http://hdl.handle.net/10579/4855.
Texte intégralRésumé :
Il progetto prevede un'analisi completa dell'azienda padovana CEEI Srl e tramite le informazioni sui clienti ottenuti in azienda, mediante lo studio dei database e dei dati disponibili, procedere ad una profilazione dei clienti mediante tecniche di Business Intelligence e CRM in modo da poter poi sviluppare e proporre un piano di marketing congruente con le informazioni ottenute dalle analisi.
5
STAFFINI, ALESSIO. « ESSAYS ON COMPLEX ECONOMIC SYSTEMS AND ARTIFICIAL INTELLIGENCE ». Doctoral thesis, Università Cattolica del Sacro Cuore, 2022. http://hdl.handle.net/10280/131851.
Texte intégralRésumé :
Questa tesi mira a modellare alcuni aspetti dell'ambiente economico come sistemi complessi e ad analizzare le dipendenze di tali sistemi utilizzando in particolare la Modellazione ad Agenti (ABM) e l'Intelligenza Artificiale.
Nel primo capitolo ci proponiamo di modellare le dinamiche del mercato del lavoro con un ABM, prestando particolare attenzione agli effetti che l'istruzione produce nella competizione tra individui in cerca di lavoro e sulla formazione del loro salario. Creiamo due tipi di agenti che interagiscono tra loro e con l'ambiente circostante: i lavoratori e le imprese. La caratteristica principale del modello è che le competenze dei lavoratori sono assegnate casualmente e l'ottenimento di un titolo di studio avviene all'interno del modello in modo endogeno. Anche il livello tecnologico delle imprese è assegnato casualmente, e queste condizioni portano ad ottenere risultati molto simili ad ogni run. Mostriamo che, modificando le condizioni di partenza, in qualsiasi scenario analizzato i lavoratori poco qualificati sono quelli maggiormente penalizzati sia nel tasso di occupazione che nel livello salariale, e sottolineiamo quanto sia importante l'investimento in capitale umano. Controlli di robustezza hanno confermato l'affidabilità dei risultati ottenuti.
Nel secondo capitolo presentiamo una Convolutional Neural Network combinata con una Bidirectional Long Short-Term Memory Network (CNN-BiLSTM) per la previsione di variabili macroeconomiche, analizzando 18 serie storiche dell'economia degli Stati Uniti d'America. Nel terzo capitolo, sviluppiamo una Deep Convolutional Generative Adversarial Network (DCGAN) per la previsione del prezzo delle azioni. Considerando sia le previsioni single-step che multi-step, i risultati ottenuti dalle nostre architetture proposte sono promettenti e forniscono risultati migliori rispetto ai modelli econometrici di base considerati, sia nel contesto economico che finanziario. Suggeriamo che l'Intelligenza Artificiale (ed in particolare, il Deep Learning) dovrebbe essere studiata e incorporata maggiormente dagli economisti, poiché riteniamo che possa fornire risultati eccellenti, soprattutto in un'era in cui la disponibilità di dati sta crescendo sempre di più.This thesis aims to model some aspects of the economic environment as complex systems, and to analyze the dependencies of such systems using in particular Agent-Based Modeling (ABM) and Artificial Intelligence. In the first chapter, we aim to model the dynamics of the labor market with an ABM, paying particular attention to the effects that education produces in the competition between individuals looking for a job and on wage’s formation. We create two types of agents that interact with each other and with the surrounding environment: workers and firms. The main feature of the model is that the workers' skills are randomly assigned and obtaining an educational qualification takes place within the model endogenously. Even the technological level of the firms is randomly assigned, and these conditions lead to obtain very similar results at each run. We show that, by modifying the starting conditions, in any analyzed scenario the low-skilled workers are the ones penalized the most both in the employment rate and in the wage amount, and we stress how important the investment in human capital is. Robustness checks confirmed the reliability of the obtained results. In the second chapter, we propose a Convolutional Neural Network combined with a Bidirectional Long Short-Term Memory Network (CNN-BiLSTM) for the forecasting of macroeconomic variables, analyzing 18 time series about the economy of the United States of America. In the third chapter, we develop a Deep Convolutional Generative Adversarial Network (DCGAN) for stock price forecasting. Considering both single-step and multi-step forecasts, the results obtained by our proposed architectures are promising and improve upon the considered baseline econometric models, both in the economic and financial context. We suggest that Artificial Intelligence (and in particular, Deep Learning) should be investigated and incorporated more by the economists, as we believe it can deliver excellent results, especially in an era where big data availability is growing more and more.
6
Andreoli, Silvia <1990>. « Città intelligenti per un turismo intelligente ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2014. http://hdl.handle.net/10579/5181.
Texte intégralRésumé :
In un periodo come questo di crisi economica, di crisi ambientale e di crisi delle risorse, le soluzioni “smart” possono consentire il passaggio da una crescita lineare, la quale implica il continuo consumo di risorse sempre meno disponibili, a uno sviluppo circolare che, al contrario, minimizzi il consumo di energia, acqua e minerali. Perché questo sia possibile, è necessario trasformare il sistema primitivo delle nostre tecnostrutture in una rete maggiormente sofisticata in grado di gestire segnali multidirezionali. Questa trasformazione è iniziata con la trasformazione delle reti elettriche, ma coinvolge anche i sistemi di trasporto, le abitazioni e le stesse attività produttive. La domanda che ci si pone attualmente riguarda il salto di qualità che verrà consentito in un prossimo futuro grazie all’impiego di soluzioni informatiche: possiamo infatti immaginare una “smart city cloud” che darà l’avvio a quel salto gestionale necessario per contenere l’utilizzo delle materie prime e di ridurre l’impatto ambientale. “Fare meglio con meno” grazie all’ausilio delle tecnologie informatiche e all’attivazione di processi partecipativi permette lo sviluppo di città sempre più intelligenti: stiamo, infatti, vivendo una fase di transizione che durerà un paio di decenni, trascorsi i quali non si parlerà più di smart cities, perché questa sarà la connotazione usuale degli agglomerati urbani.
Tuttavia, la riprogettazione di una città richiede di sincronizzarsi sui tempi lunghi dell’urbanistica e dell’architettura, delle infrastrutture e del’economia reale e implica il ridisegno delle condizioni nelle quali evolvono la cultura, la società e l’ambiente. In sintesi, la rimodulazione della città é un’occasione per ripensare in profondità le dinamiche della convivenza civile. In particolar modo, i campi che potrebbero essere investiti attraverso l’applicazione delle tecnologie digitali riguardano la sanità, l’istruzione, i trasporti, la gestione dell’energia, la pubblica amministrazione, i mercati internazionali e anche il turismo.
Ciononostante, la città intelligente non é un obiettivo da raggiungere, ma un processo costante di cambiamento; la smart city non viene definita dalla quantità di tecnologia da introdurre, ma al contrario, essa deve mettere al proprio centro le persone che consapevolmente fanno uso delle tecnologie. L’interrelazione tra lo sviluppo di Internet of Things, la diffusione del social networking come strumento di comunicazione tra le persone, l’uso delle piattaforme di cloud computing per assemblare dati provenienti da fonti diverse, la pervasività dei device mobili che ci consentono di essere sempre connessi al web, l’insieme di questi fattori é davvero in grado di cambiare lo scenario della città. La città intelligente é dunque un programma di governo perché si pone come obiettivo quello della gestione consapevole dei processi di innovazione e perché obbliga le amministrazioni, gli stakeholders e i cittadini a compiere un salto culturale epocale.
Nella prima parte di questo elaborato ho dunque illustrato le politiche che hanno portato allo sviluppo di una sensibilità ambientale, la caratteristiche di una città intelligente e alcuni esempi di best practice. Nella seconda parte dell’elaborato ho scelto di approfondire la tematica del turismo urbano in rapporto alle città intelligenti, e ho indagato sulla connessione tra città intelligenti e turismo intelligente, ovvero sull’importanza che l’approccio smart riveste nelle politiche turistiche di una città.
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Levytskyi, Valentyn. « Economic intelligence of the modern state ». Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA389697.
Texte intégralRésumé :
Thesis (M.A. in International Security and Civil-Military Relations) Naval Postgraduate School, March 2001.Thesis advisors, Robert Looney, Thomas Bruneau. Includes bibliographical references. Also available online.
8
Falconer, Nick. « An Examination of the Accuracy of Economic Country Forecasts produced by the Economist Intelligence Unit (EIU) ». Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29631.
Texte intégralRésumé :
This paper investigates the accuracy of Country-Level Forecasts for six variables: Real GDP Growth, Inflation (Consumer Price Index), Short-Term Interbank Rate, Budget Deficit (as % of GDP), Current Account Balance (as % of GDP) and the Unemployment rate. The data used in this analysis is produced by the Economist Intelligence Unit (EIU) and covers the period 1996-2013. The two forecast horizons of primary interest are Current-Year (t) and One-Year-Ahead (t+1) forecasts. A range of statistical methods are used to ascertain the accuracy of the EIU forecasts in 103 countries for most of the variables, while the accuracy of the Unemployment rate forecasts used data for 68 countries. Generally, the results confirm this paper’s four primary hypotheses: (1) EIU forecasts are more accurate than No-Change-Forecasts; (2) EIU forecasts for higher income countries have smaller errors than forecasts for lower income countries; (3) The accuracy of EIU forecasts decreases as forecast horizon increases; and (4) The accuracy of EIU forecasts was relatively weaker during the period of the Global Financial Crisis (2008-2009) than in other periods.
9
Davies, Peter. « Dark matter : economic intelligence in Whitehall, 1928-1980 ». Thesis, Queen Mary, University of London, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.552732.
Texte intégralRésumé :
British economic intelligence has a longer pedigree than the Joint Intelligence Committee (JIC) and is the precursor of inter-departmental intelligence coordination in Whitehall. Notwithstanding its ancestry, importance and the extensive resources committed to it, economic intelligence remains a missing field of intelligence history. This thesis is a history of a core intelligence capability from its emergence as a discrete field in the 1930s to the end of detente. For the postwar period Britain's economic intelligence expertise was located in the Ministry of Defence (MoD). The thesis explains how this anomalous situation arose, flourished and was eventually overthrown. It examines the organisations collating, analysing and assessing economic intelligence, placing special emphasis on the roles of the MoD's Joint Intelligence Bureau and Defence Intelligence Staff - two vital organisations almost entirely missing from intelligence historiography - and which together with economic intelligence constitute the 'Dark Matter' of Whitehall's intelligence machine. While most intelligence histories acknowledge the uniqueness of the intelligence process this study questions the reality of an intelligence 'community', proposing that the identification of intelligence assessment with the JIC has been at the expense of deeper knowledge of how the intelligence machine functions. Instead it emphasises the compartmentalisation and rivalries within and between departments, and their determination to resist central encroachment on their authority. Treating economic intelligence holistically presented special difficulties for Whitehall. The economic Departments resented the MoD as the locus of economic intelligence but were not prepared to undertake the work themselves or accept a central Cabinet Office capability. The result was a net loss of economic intelligence capability in Whitehall at the very moment when it was required to assess emerging global economic issues.
10
Dylan, Huw. « The Joint Intelligence Bureau : economic, topographic, and scientific intelligence for Britain's Cold War, 1946-1964 ». Thesis, Aberystwyth University, 2010. http://hdl.handle.net/2160/6338ec52-6154-47ca-ba92-c6bf092281bf.
Texte intégralRésumé :
This thesis examines the British Joint Intelligence Bureau (JIB), which, between its creation in 1946 and its end in 1964, gathered, collated and processed topographic, economic, scientific, and atomic intelligence. It did so on an inter-service, national level. The thesis examines the creation of the organisation, in the aftermath of the Second World War, exploring what factors and which people supported the creation of the new agency. It then moves on to examine the work of the JIB in several of its key fields of work, namely topography, economics and monitoring the threat from Soviet nuclear forces, before examining some of the JIB’s international connections and how these contributed to its work. It concludes with an examination of how the JIB begat the Defence Intelligence Staff (DIS). It argues that the creation of the JIB was an appropriate response to the need to centralise and retrench in the intelligence machinery after the War, but that the organisation, in essence, represented a compromise between those who wanted to fully centralise military (and military-relevant) intelligence and those who wished to preserve service independence. Over the course of its existence it made important contributions to several key areas of policy – including mapping the Soviet Union for nuclear strike planning, the economic containment of the USSR, as well as China and North Korea during the Korean War, and in monitoring the production of Soviet bombers and missiles – before becoming a central component of the new DIS.
11
Lila, Serxho <1995>. « Applications of Artificial Intelligence ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2021. http://hdl.handle.net/10579/18837.
Texte intégralRésumé :
The world is changing rapidly. Developments in information technology are affecting every aspect of people’s lives, but also economies or politics all over the world.
The fourth industrial revolution started at the beginning of the twenty-first century, it is manifested by emerging technology breakthroughs in many fields, which include artificial intelligence (AI), biotechnology, 3D printing, the Internet of Things, and blockchain. In the last decade, the technology sector has driven the worldwide economy, and big tech companies such as Amazon, Apple, Microsoft, Tencent, Baidu, and Alibaba are dominating the market. Many other companies are riding the wave, while others are staying behind.
AI is impacting many industries, from transportation to agriculture, passing through healthcare, communication, media, retail, entertainment, and others. But one of the major sector involved is finance.
This qualitative research focuses on applications of AI, especially in the financial field. The theoretical part aims to introduce the concept of AI, the different types of AI, examples of AI technologies, and countries and companies that are leading the AI race. The second part of the research focuses on AI applications in different sectors, examining the influence, benefits, and challenges of this breakthrough innovation.
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Nguyen, Lan Chi <1994>. « Emotional Intelligence and Youth Leadership ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/17065.
Texte intégralRésumé :
The objective of this thesis is to research the relationship between emotional intelligence and youth leadership using the international student organisation AIESEC as an example. The construct of emotional intelligence and behavioural competencies have gained increased attention beyond cognitive ability over the last three decades. Such competencies might bear great potential as important driver on the job market. The study at hand hypothesises that engaging in extracurricular activities and gaining leadership experience at young age positively affect students’ perceived level of emotional intelligence. Such an experience may enhance the acquisition and development of essential emotional and social competencies. These, in turn, may give the students a competitive edge on their prospective career paths. In a sample of undergraduate as well as graduate students of AIESEC in Germany behavioural competencies are examined in comparison to a control group using a 360-degree questionnaire. Practical implications as well as limitations are discussed. Moreover, suggestions for future research directions are given in the end.
13
Makriyannis, Elpida. « Intelligent systems for modelling economic policies ». Thesis, University College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.407455.
Texte intégral
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Eggert, Sandy, et Juliane Meier. « Business Intelligence : Lösungen im Überblick ». Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4449/.
Texte intégral
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Ul-Ain, Noor <1990>. « Three essays on business intelligence system success ». Doctoral thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/17805.
Texte intégralRésumé :
Today, business intelligence (BI) systems have become a critical foundation for several organizations. BI systems have consistently been ranked among the top most priority of CIOs due to their ability to transform huge amount of data into organizationally-valued information to fulfill current business needs and faster decision making. However, the success of these systems is still questionable, as in many cases, BI systems have failed to yield the expected value for organizations. Literature shows that majority of prior research either discussed the benefits of BI systems or identified the factors that could improve organizational performance. None of the studies focussed to comprehensively count on adoption, utilization, and success (AUS) of BI systems, providing an appropriate success metrics, and proposing factors that can improve the success of BI systems. Therefore, the overarching aim of the thesis is to; i) present comprehensive knowledge about the current state of BI system AUS, ii) provide a success metrics to measure the success of BI system, iii) identify the factors to assess BI system use and decision-making performance at the individual level. The findings revealed a detailed and comprehensive knowledge of the current state of BI system AUS. In addition, the results revealed a success metrics for measuring the success of the BI system. The empirical analysis demonstrated the significance of system factors i.e. system quality and information quality, and human factors i.e. user competence for improved decision-making performance, which in turns, increase the potential of success. The research will provide direction for researchers and practitioners to understand the ways to obtain the maximum value from implemented BI systems.
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Hellsten, Mark. « Artificial intelligence and knowledge intensive labour : Evidence from job postings ». Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-92279.
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Vitale, Stefano <1994>. « CROSS-CULTURAL LEADERSHIP : LA CULTURAL INTELLIGENCE ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/18085.
Texte intégralRésumé :
L'obiettivo della ricerca è quello di individuare il ruolo della Cultural Intelligence dal punto di vista di un leader e di esaminare l'impatto della cultura sulla leadership. Lo scopo della ricerca è quello di confrontare i risultati ottenuti da una ricerca qualitativa condotta tramite delle interviste a leader che lavorano in contesti cross-cultural, tenendo conto delle osservazioni teoriche riguardanti la leadership.
I risultati esplorano e provano l'ipotesi che l'intelligenza culturale è un'abilità fondamentale per una leadership di successo in un ambiente interculturale.
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Wong, Yiu Kwong. « Application of computational models and qualitative reasoning to economics ». Thesis, Heriot-Watt University, 1996. http://hdl.handle.net/10399/688.
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Pittaro, Giulio <1996>. « Artificial Intelligence Marketing : il caso dei Chatbots ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2021. http://hdl.handle.net/10579/20340.
Texte intégralRésumé :
L’oggetto della mia tesi scaturisce da un forte interesse riguardo l’AI (Artificial intelligence) implementata nell’ambito del Marketing. Ciò che mi ha spinto a voler approfondire questo tema parte dal libro di Alessio Semoli “AI Marketing, Capire l’intelligenza artificiale per coglierne le opportunità” attraverso il quale ho potuto comprendere quanto il modo di fare business non sia più lo stesso a cause delle innovative tecnologie che rinnovano gli ambienti e la mentalità.
Le nuove dinamiche economiche e sociali stanno rivoluzionando gli stili di vita e i comportamenti di acquisto, per questo motivo è di vitale importanza che le aziende monitorino costantemente le nuove tendenze di consumo e adattino la propria offerta ad una domanda sempre più variabile.
Ed è proprio nella fase di “ascolto del mercato” che si inserisce l’Artificial Intelligence diventando per i marketer un elemento determinante per analizzare gli insights di domanda.
In modo particolare la mia analisi prevede di approfondire l’implementazione di tale tecnologia nel marketing, analizzando come l’intelligenza Artificiale ha trasformato il lavoro dei marketer nonché comprendere quali sono le principali sfide e criticità.
Dopo aver discusso, nel primo capitolo, il ruolo dei Big Data nel plasmare il modo di fare business, e della loro importanza nel guidare l’impresa verso una cultura “data-driven”, nel secondo capitolo si entra nello specifico, approfondendo l’intelligenza Artificiale in tutte le sue sfaccettature descrivendone vantaggi e zone d’ombra.
Nel terzo capitolo si esamina l’avvento del Marketing Tecnologizzato che in larga misura risulta essere terreno fertile per l’implementazione dell’AI e della Marketing Automation, con una crescente necessita da parte delle imprese di congiungere queste due tecnologie per far fronte ad un ambiente sempre più dinamico e competitivo.
Viene successivamente analizzato il tema dei chatbots o assistenti virtuali, la tecnologia più avanzata dell’Intelligenza Artificiale, che negli ultimi anni, ha fatto riscontrare un tasso di adozione elevato da parte delle imprese, divenendo parte fondamentale delle strategie di marketing digitale. Anche a causa della pandemia l’implementazione degli assistenti virtuali si è fatta più robusta, favorendo la necessità di comprendere la percezione dei consumatori di fronte gli assistenti virtuali che di fatto irrompono sempre più nella comunicazione brand-cliente. Pertanto, l’elaborato si conclude con una ricerca qualitativa volta a esaminare il comportamento degli utenti quando si trovano a comunicare con tali sistemi, analizzando le problematiche e/o gli stimoli nell' interagire con i chatbots.
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Rock, Daniel Ian. « Essays on information technology, intangible capital, and the economics of artificial intelligence ». Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123582.
Texte intégralRésumé :
Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, 2019Cataloged from PDF version of thesis.
Includes bibliographical references.
This dissertation contains four essays concerning the economics of information technology, intangible capital, and artificial intelligence. In the first essay, "Engineering Value: The Returns to Technological Talent and Investments in Artificial Intelligence" I describe how firms can appropriate some of the value of their employees' human capital by assigning firm-specific tasks. I then use a database of employment records to document dynamics in the valuation of publicly traded firms as they relate to different types of employment, focusing especially on AI skills. The second essay, "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies" (coauthored with Erik Brynjolfsson and Chad Syverson) addresses the concern that new technologies with wide applicability throughout the economy can cause both underestimation and overestimation of total factor productivity.
As capital is accumulated, intangible investment output, and therefore productivity growth, will be underestimated only to later generate a yield (at which point productivity growth will be overestimated). Presenting a theoretical description of how to use corporate valuations to recover hidden investment value, we discuss how productivity growth and levels can be adjusted to accommodate these changes. Implications for research and development, computer hardware, and computer software investments are considered. The third essay, "Machine Learning and Occupational Change" (coauthored with Erik Brynjolfsson and Tom Mitchell), develops and implements a method to measure the labor market impact potential of machine learning technologies. Tasks are evaluated for their Suitability for Machine Learning (SML). We find that few occupations can be fully automated with machine learning, but many occupations will potentially be redesigned.
The final essay, "Do Labor Demand Shifts Occur Within Firms or Across Them? Non-Routine-Biased Technological Change 2000-2016" (coauthored with Seth Benzell and Guillermo Lagarda) decomposes labor share shifts of occupational groups into changes between firms, within firms, and due to entry and exit. We find that within-firm compositional shifts are an important component of changes in the overall labor market. We also find that the rate of within-firm shifts has declined in the period from 2000 to 2016. Together, these essays offer insights into how artificial intelligence technologies, particularly machine learning, will impact the U.S. economy.
by Daniel Rock.
Chapter 1. Engineering Value: The Returns to Technological Talent and Investments in Artificial Intelligence -- Chapter 2. The Productivity J-Curve: How Intangibles Complement General Purpose Technologies -- Chapter 3. Machine Learning and Occupational Change -- Chapter 4. Do Labor Demand Shifts Occur Within Firms or Across Them? Non-Routine Biased Technological Change, 2000-2016.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Sloan School of Management
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Lee, Sai-man Eric, et 李世文. « The economics of intelligent residential buildings in Hong Kong ». Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31251699.
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Lee, Sai-man Eric. « The economics of intelligent residential buildings in Hong Kong / ». Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25949974.
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Stocco, Michela <1994>. « The impact of Cultural Intelligence on Marketing Strategies ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/13748.
Texte intégralRésumé :
Review of the academic literature regarding cultural intelligence and its implications on organizations with particular focus on marketing strategies. Specifically, analysis of the four dimensions of CQ and marketing managers' soft skills and their effects of export performance. Presentation of RedHead Communications, Australian boutique management consulting firm specialising in cross cultural communications, conflict management, and the advancement of leadership skills.
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Ardizzon, Lorenza <1996>. « TALENT ACQUISITION : IMPATTO DELL’ARTIFICIAL INTELLIGENCE SULLE PRATICHE HR ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/17520.
Texte intégralRésumé :
Con il seguente elaborato si andrà a discutere il tema della gestione dei talenti all’interno dell’impresa e, in particolare, del valore aggiunto che le risorse umane attribuiscono all’organizzazione stessa. Le persone quali clienti, fornitori e soprattutto dipendenti sono una vera risorsa per l’impresa e per il suo successo all’interno del settore, poiché con esse si costruiscono e s’implementano le dinamiche aziendali che consentono all’organizzazione di ottenere una posizione di rilievo e di prestigio rispetto ai concorrenti.
Tutte le organizzazioni d’altronde, con l’avvento delle nuove tecnologie, hanno dapprima sviluppato e ottimizzato i settori prettamente economici come il marketing, le vendite o gli acquisti, mentre le funzioni umane (HR) dell’impresa sono state sempre più arretrate poiché dipendono dalle abilità del singolo e non da fattori oggettivi e facilmente misurabili.
Tuttavia, con l’avvento dell’intelligenza artificiale queste pratiche, dapprima implementate dal responsabile risorse umane e dal proprio team, ora sono affidate alla tecnologia che, tramite l’utilizzo di particolari dati, piattaforme informatiche o enti preposti, è in grado di selezione il candidato migliore per l’azienda, facendo sì che le attenzioni del manager si concentrino maggiormente su altri obiettivi aziendali che richiedono maggiore comprensione e studio, tralasciando momentaneamente le pratiche amministrative e burocratiche.
In merito a ciò, il lavoro proposto sarà suddiviso in due parti principali: la prima parte verterà su una analisi teorica circa la ricerca dei talenti e la loro selezione; in particolare si analizzerà il fenomeno sia dal punto di vista dell’impresa, che del singolo, ripercorrendo le tappe che hanno portato la ricerca del personale alla posizione odierna. Successivamente si analizzerà la relazione che sussiste tra human resources e artificial intelligence, considerando l’impatto del digitale sulle risorse umane e l’evoluzione delle stesse grazie alle nuove tecnologie disponibili sempre in evoluzione, tenendo conto dei principali motori di ricerca utilizzati dalle imprese e per la ricerca di personale.
La seconda parte dell’elaborato verterà su un’analisi empirica in cui si analizzerà l’impatto dell'intelligenza artificiale su diverse realtà aziendali.
Si tratterà prima della metodologia utilizzata per le interviste e per l’analisi per poi esporre analogie e differenze tra le imprese considerate.
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Samore', Erika <1997>. « Ethical implications of Artificial intelligence : cases from Italy ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2021. http://hdl.handle.net/10579/19784.
Texte intégralRésumé :
Despite public belief, Artificial intelligence technologies are frequently embedded in software and applications. On one hand, they facilitate aspects of the daily life, for example, by using instant translation tools it is possible to communicate with everyone regardless of language barriers, or it is easier to search for a movie on Netflix because they are rearranged based on individual taste through a recommender system. On the other hand, the rise of AI tools is increasing discrimination and hence inequality and people are not even aware of such problems. For instance, fitting candidates for a job position are not called for an interview, because their resume has not been selected by a biased software that is favouring a specific race or gender.
After discussing the main findings and ethical implications on the usage of AI presented by the today literature, the aim of the paper is to analyse whether Italian companies developing such technologies are aware of the negative impacts that these technologies have on the final users and what are the steps they take to prevent them.
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Latham, Oliver Martin. « The political economy of mass media and intelligence ». Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648202.
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Omerovic, Mirheta <1994>. « THE JANUS-FACED CHARACTER OF ROBOTICS AND ARTIFICIAL INTELLIGENCE ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2017. http://hdl.handle.net/10579/11572.
Texte intégralRésumé :
This survey outlines the discussion on the controversial effects of robots and artificial intelligence as the core drivers responsible for major future disruptions in economies, which is particularly relevant to the future of employment. We essentially focus on labour markets and income generation. We consider the multifaceted implications of these emerging technologies, classifying the negative outcomes under the framework of classical innovation, while enhancing the positive results through the lens of a Neo-Schumpeterian approach. Concerning the influence of robotics on education and society, we analyse the education system and social issues and propose possible policies. This survey provides an overview concerning the current debate, highlighting the arguments of replacement vs. compensation, which we label as the Janus face of robotics and artificial intelligence.
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Albursan, Ahmed Salim. « The superpowers and the Maghreb : political, economic and strategic relations ». Thesis, Durham University, 1992. http://etheses.dur.ac.uk/6121/.
Texte intégralRésumé :
The study focuses on superpower relations with the Maghreb from independence until 1985. It contains eight chapters and conclusion together with a bibliography. The introduction defines the scope and objectives of the study, as well as discussing the methodology and techniques employed in the research. Chapter two gives a historical background to European relations with the Maghreb states and explains how the Maghreb became part of European political, economic and strategic objectives in the European multipolar system. Chapter three presents a theoretical basis for superpower relations with the Third World. Chapter four examines the historical relations between the Maghreb and the superpowers until the independence, and the role of the superpowers in Maghreb independence. Chapter five deals with political relations between the Maghreb and the superpowers and chapter six examines the economic relations between the superpowers and the Maghreb states. Chapter seven deals with superpower strategic relations with the Maghreb focusing on Mediterranean security, arms transfers, military bases and intelligence cooperation. Chapter eight examines superpower behaviour toward regional conflict and stability in the Maghreb. The final chapter contains a summary and conclusion and future prospects for superpowers relations with the Maghreb and the role of the EC in future relations.
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Konka, Jakub W. « Economic aspects of intelligent network selection : a game-theoretic approach ». Thesis, University of Strathclyde, 2015. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=24891.
Texte intégralRésumé :
Mobile communications has become an indispensable part of our everyday lives, with increasingly more people owning a smartphone, and being given access to a plethora of wireless access technologies: WiFi, 3G, and 4G. In an environment of such diversity, where each wireless access technology has its own distinct characteristics, network selection mechanisms provide an efficient way of handling communications services by matching the services' required quality with the characteristics of a particular access technology. This thesis explores the economic aspects of intelligent network selection in the context of Digital Marketplace - a theoretical market-based framework where network operators compete in a procurement auction-based setting for the right to transport the user's requested service over their infrastructure. It investigates the suitability of a firstprice sealed-bid auction as a network selection mechanism. Since this auction-based mechanism constitutes the main trading m echanism of the Digital Marketplace, the results reported herein affect its feasibility as a market for trading wireless communications services of the future. Since it lacks extensive and rigorous economic analysis, this thesis addresses this deficiency by providing an extensive game theoretic analysis of the network selection mechanism. This thesis creates an economic model of the network selection mechanism, and is the first to characterise the equilibrium bidding behaviour for an arbitrary number of network operators participating in the Digital Marketplace. It proposes three novel numerical methods that allow for numerical derivation of the equilibrium bidding behaviour: forward shooting method (FSM), polynomial projection method (PPM), and extended FSM (EFSM). The FSM and PPM methods allow for numerically approximating equilibrium bidding behaviour for a subset of all possible bidding scenarios, while the EFSM method enables computation of the numerical solution to all bidding scenarios. Finally, since the EFSM method becomes numerically unstable for large number of network operators, a novel methodology for approximating the network selection mechanism with an auction format for which there exist many well-defined and extensively studied numerical solutions is discussed.
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Onifade, Olufade Falade Williams. « A model for information risks management in economic intelligent systems ». Thesis, Nancy 2, 2010. http://www.theses.fr/2010NAN21007/document.
Texte intégralRésumé :
La subjectivité des estimations et des perceptions, la complexité de l’environnement, l’interaction entre sous-systèmes, le manque de données précises, les données manquantes, une faible capacité de traitement de l’information, et l’ambiguïté du langage naturel représentent les principales formes d’incertitude auxquelles les décideurs doivent faire face lorsqu’ils prennent des décisions stratégiques à l’aide de systèmes d’intelligence économique. Cette étude utilise un paradigme de « soft computing » pour identifier et analyser l’incertitude, que nous associons à la notion de facteurs de risque d’information. Pour cela, nous proposons un modèle de rapprochement exploitant des ontologies, ainsi qu’un modèle baptisé « FuzzyWatch » fondé sur la logique floue. Nous avons modélisé le processus de prise de décision depuis la définition du problème jusqu’à la réponse à la question : « est-il raisonnable de décider ? ». Un diagramme causal d’Ishikawa permet de prendre en compte les facteurs intangibles dans cette approche. Le cadre de référence du rapprochement de connaissances a été prévu pour faciliter le partage et la réutilisation de connaissances entre les utilisateurs et la machine. En complément, les facteurs intangibles, les émotions, les ambiguïtés du langage naturel sont pris en compte à l’aide de fonctions d’appartenance floues. Les outils de la logique floue ont été également utilisés au niveau des ontologies (« FuzzOntology »). Au niveau du processus de recherche d’information, l’introduction d’une fonction de mise en correspondance floue, appelée « FuzzyMatch », améliore le taux de rappel et subséquemment le processus d’intelligence économique. Le modèle « Fuzzontologique » autorise une prise en compte flexible de facteurs intangibles et incertains, offrant ainsi un moyen de traiter l’ambiguïté du langage naturel. FuzzyMatch permet de réduire les problèmes de données manquantes. A l’aide de ces modèles, le processus de décision en intelligence économique bénéficie d’une réduction des risques liés à l’information lors du processus de rechercheSubjective estimation and perception, complexity of the environment under study, interaction amongst subsystems, lack of precise data, missing data, limited information processing capacity and ambiguity in natural languages are major forms of uncertainty facing Decision Makers in the process of delivering strategic decisions in economic intelligent systems. This study employs soft computing paradigm to capture and analyze uncertainty based on information risk factors via our proposed knowledge reconciliation model based on ontology and the FuzzyWatch model. We modeled the process of decision making from the point of problem definition to decision delivery (translation credibility) and include intangible factors with the fish-bone architecture. Ontological framework for Knowledge Reconciliation was developed to facilitate knowledge sharing and reuse among both human and computer agents while intangible factors, emotions and ambiguities in natural languages were captured with fuzzy membership function. We extended this operation with fuzzy that is – what ontology captures is interpreted by fuzzy techniques (FuzzOntology). The fuzzy match relation for information retrieval tagged “FuzzyWatch” improves the information search result thus reducing the risk of missing data which is of grave consequence in Economic Intelligence process. FuzzOntological model facilitates a flexible means of capturing intangible and uncertain factors as a means of resolving the ambiguity in natural languages. FuzzyWatch assists in reducing missing data problems. Future decisional process will contend with lesser information retrieval risks in Economic Intelligence process using this model
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Vettor, Francesca <1994>. « Economia Circolare per ripensare il turismo in chiave contemporanea, intelligente e sostenibile ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/16055.
Texte intégralRésumé :
L’elaborato in questione cerca di approfondire il tema dell’economia circolare, applicando quest’ultimo al turismo.
Dopo un’iniziale analisi sull’avvio del turismo e sulla sua evoluzione storica si prenderanno in esame i cambiamenti che il turismo ha subito nel corso del tempo, soprattutto dovuti al sempre più crescente e consapevole sviluppo della tecnologia. Per troppi anni, infatti, a fronte di studi e dati di settore che rimarcavano chiaramente la crescita esponenziale di persone che si sarebbero messe in viaggio per visitare destinazioni più o meno conosciute, gli attori pubblici e privati hanno pensato non fosse necessario prevedere per tempo efficaci strategie di cooperazione, accoglienza e offerta turistica.
A questo proposito, bisogna iniziare a distaccarsi da quello che fino ad oggi è stato il sistema economico largamente utilizzato. È proprio per queste ragioni che la seconda parte dell’elaborato approfondisce il concetto di una nuova economia, l’economia circolare. Quest’ultima si rivela di fondamentale importanza per comprendere che una transazione e una dissociazione da un’economia lineare fin qui utilizzata è necessaria, al fine di ottenere nel medesimo istante vantaggi sia dal punto di vista economico, sia ambientale che sociale. L’economia circolare si dimostra imprescindibile in una nuova concezione del territorio, delle città ma anche del turismo. Essa offre, infatti, un modello differente atto a ridurre il dispendio di sprechi nel ciclo di vita di un prodotto, materiale o immateriale che sia.
Si andrà quindi a porre l’attenzione sul turismo come sistema economico, il quale, ad oggi, si struttura ancora come un’impresa estrattiva, da cui bisogna per lo più ricavare ingenti profitti. È proprio per questa ragione un necessario intervento da parte dell’economia circolare in campo turistico. L’applicazione dei principi del nuovo sistema economico risulta difficile e complessa, ma non sono da sottovalutare le sue implicazioni. L’indagine tenterà di dare risalto alle strategie che possono essere messe in luce in ambito turistico, valorizzando i settori in cui i principi dell’economia circolare trovano realizzazione, grazie anche al modello della città di Amsterdam e ad alcune imprese che già occupano questo settore.
Concludendo, si cercherà di concretizzare quanto analizzato nelle fasi precedenti attraverso il caso studio dell’azienda Plastic Whale. La “Circular Economy” è un principio complesso, che parla sì di riciclo, ma specialmente di riuso, di trasformazione di prodotti in servizi, di rigenerazione, di tutela di alcuni beni comuni, di condivisione, di equità. Per questo l’Economia Circolare è soprattutto umana, e parte da ciascuno di noi.
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Vaseigaran, Ajanth, et Gobi Sripathy. « Artificial Intelligence in Healthcare ». Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296643.
Texte intégralRésumé :
Healthcare systems play a critical role in ensuring people's health. Establishing accurate diagnoses is a vital element of this process. As sources highlight misdiagnoses and missed diagnoses as a common issue, a solution must be sought. Diagnostic errors are common in the emergency departments, which has been recognized as a stressful work environment. Today's industries are forced to deal with rapidly changing technological advances that result in reshaped systems, products, and services. Artificial Intelligence (AI) is one of such technologies that can work as a solution to diagnosis issues but comes with technical, ethical and legal challenges. Hence, the thesis intends to investigate how AI can affect the accuracy of diagnosis as well as how its integration in healthcare relates to the technical, ethical and legal aspects. The thesis begins with a literature review, which serves as a theoretical foundation and allows for a conceptual framework to be formed. The conceptual framework is used to select interviewees, which results in 12 interviews with professors, researchers, doctors and politicians. In addition, a survey is conducted to obtain the general public’s opinion on the matter. The findings present that AI is already mature enough to make more accurate diagnoses than doctors as well as release burden from medical practitioners in the form of administrative tasks. One obstacle is the incomplete data available since laws hinder sharing of patient data. Furthermore, the AI algorithms must be fit for all social minorities and not demonstrate racial discrimination. The European AI Alliance was established in 2018 with the aim to keep the technology in check. Similar initiatives can be created on a national- and regional level to maintain some form of control over its proper use.Sjukvårdssystem utgör en avgörande roll för att säkerställa människors välmående och hälsa. Att fastställa korrekta diagnoser är en viktig del av denna process. Enligt källor är feldiagnoser och uteblivna diagnoser ett vanligt problem och bör därför lösas. Diagnostiska fel är vanligt förekommande på akutmottagningar, vilka karaktäriseras som en stressig arbetsmiljö. Dagens industrier tvingas hantera snabbt föränderliga tekniska framsteg som resulterar i omformade system, produkter och tjänster. Artificiell Intelligens (AI) är en av sådana tekniker som kan fungera som en lösning på diagnosfrågor. Dock kommer den med tekniska, etiska och legala utmaningar. Examensarbetet avser därför att undersöka hur AI kan påverka diagnosens precision samt hur integrationen i vården relaterar till de tekniska, etiska och legala aspekterna. Rapporten inleds med en litteraturstudie, vilket fungerar som en teoretisk grund och bidrar till att skapa ett konceptuellt ramverk. Det konceptuella ramverket används för att välja intervjupersoner, vilket resulterar i 12 intervjuer med professorer, forskare, läkare och politiker. Dessutom genomförs en enkätundersökning för att få allmänhetens åsikt i frågan. Rapportens resultat visar att AI redan är tillräckligt utvecklad för att göra en mer precisionssäker diagnos än en läkare samt kan avlasta läkare i form av administrativa uppgifter. Ett hinder är att den data som finns tillgänglig är ofullständig på grund av lagar som hindrar delning av patientdata. AI-algoritmerna måste dessutom vara lämpliga för alla sociala minoriteter och inte leda till rasdiskriminering. European AI Alliance grundades 2018 med målet att hålla tekniken i schack i förhållande till de etiska och legala aspekterna. Liknande initiativ kan skapas på nationell och regional nivå för att bibehålla någon form av kontroll över dess korrekta användning.
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Dallolio, Valentina. « Studio e implementazione di una soluzione di business intelligence a supporto dell'analisi economico finanziaria ». Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7426/.
Texte intégralRésumé :
Progetto di tesi svolto in azienda. Studio dei principali concetti di Business Intelligence (BI) e degli strumenti per la BI. Confronto tra i principali vendor nel mercato dell'analisi dei dati e della Business Intelligence.
Studio e reigegnerizzazione di un modello per l'analisi economico finanziaria dei fornitori/clienti di un'azienda. Realizzazione di un prototipo del modello utilizzando un nuovo strumento per la reportistica: Tableau. Il prototipo si basa su dati economici finanziari estratti da banche dati online e forniti dall'azienda cliente.
Implementazione finale del database e di un flusso automatico per la riclassificazione dei dati di bilancio.
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Pamukcu, Muge <1994>. « How Supply Chain is Digitalizing and Integration of Artificial Intelligence ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/15492.
Texte intégralRésumé :
At the present time, a fast and intense digitalization process in supply chain has begun. Thanks to the digitalizing and smart supply chain, it is easy to control the rapidly increasing data and complex variables on the global scale. With the contributions of Artificial Intelligence, it is possible to make more effective decisions in the process and to apply quickly. Artificial Intelligence is one of the most frequently used elements to make the complex structure of supply chain planning more predictable. The artificial Intelligence foresee what customers can order according to their past purchasing behavior with predictive analyzes. The algorithms which can make various estimations have the potential to prepare the products earlier and decrease the delivery time. Also, the Artificial Intelligence systems used in supply chain, especially for warehouse automation, reduce the problem of sending wrong products and considerably shorten the time of product release from warehouse. The purpose of this study is to understand the increasing necessity of integrating artificial intelligence techniques and supply chain in the globalizing and digitalizing world in order to maximize the benefits of using artificial intelligence in the supply chain with examining how Artificial Intelligence could be practiced. In order to provide this understanding, thesis organized with detailed information about digitalization and digital transformation as well as digital technologies, supply chain and value-adds of digitalization to supply chain. Also study contains, detailed information on artificial intelligence and its approaches as well as some combinations of artificial intelligence on supply chain.
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Popa, Olga <1996>. « L'impatto dell'Artificial Intelligence sulla formazione e lo sviluppo dei dipendenti ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2022. http://hdl.handle.net/10579/20836.
Texte intégralRésumé :
La Direzione delle Risorse Umane si articola in molteplici aeree, queste possono essere implementate e migliorate attraverso l’uso di Artificial Intelligence (AI). Questo elaborato studia l’applicazione dell’AI nel processo di formazione, ovvero la trasformazione del capitale umano al fine di ottenere una performance in linea con gli obiettivi dell’organizzazione. Le aziende stanno attraversando una crisi delle competenze a causa della pandemia globale da Coronavirus e in seguito all’evoluzione continua della digitalizzazione e l’automazione dei processi. Per rispondere a questa crisi è necessario intervenire sulle skills dei dipendenti, in modo da avere personale sempre pronto ad adattarsi a cambiamenti improvvisi e in grado di ricoprire nuovi ruoli. Dopo aver individuato i vincoli della formazione tradizionale si mette in luce un nuovo modo di formare. L’apprendimento diventa sempre più digitale: si introducono i concetti di formazione a distanza, digital learning, e-learning e formazione tramite Artificial Intelligence. L’elaborato spiega il concetto di Intelligenza Artificiale e come questo approccio permette di costruire programmi di apprendimento personalizzati e consente ai singoli soggetti di fruire di una formazione mirata e continua. Si individuano i vantaggi, le criticità e le opportunità future di questo nuovo modo di formare le risorse umane. Inoltre, si affronta il tema dell’intelligenze artificiale dal punto di vista etico. Dopo un’analisi teorica del fenomeno l’elaborato prosegue con un’analisi empirica. Si valuta il fenomeno sia dal punto di vista di chi eroga e offre servizi di formazione tramite AI e anche dal punto di vista di chi utilizza questo metodo innovativo.
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Søilen, Klaus Solberg. « Wirtschaftsspionage in Verhandlungen aus Informationsökonomischer und Wirtschaftsetischer Perspektive : eine Interdisziplinäre Analyse ». Doctoral thesis, Karlskrona : Blekinge Institute of Technology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00295.
Texte intégralRésumé :
The dissertation examines a case of industrial espionage by one of the parties involved in a forthcoming international negotiation. We want to know what consequences a burglary has for the actual negotiation. The dissertation consist of five hypothesis, of which the three first were empirically tested. The discussion of thesis four and five is supported basically by research literature, but have also found indirect support in the empirical study. A game theoretical model of four information sets is used. Thesis 1: Pay-offs do not change significantly from one information set to the other. confirmed Thesis 2: Behavior do not change significantly from one information set to the other. confirmed Thesis 3: The perception of fairness do not change significantly from one information set to the other. confirmed Thesis 4: International negotiations is socially so complex that it only makes sense to study the phenomena from an interdisciplinary angle. confirmed Thesis 5: A descriptive evolutionary approach can be an alternative to neoclassical economic theory in understanding the study of international negotiations. confirmed The study also confirms that economic theory is correct in excluding the ethical dimension from their models, as these factors have little influence on the end price. Fairness plays only a minor role in international negotiations. **Forskarens hemsida: http://www.bth.se/iem/kss.nsf Disputerat vid Universität Leipzig, Wirtschaftswissenschaftliche Fakultät, http://www.uni-leipzig.de/ Avhandlingen utgiven av BTH.
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Giannini, Sofia <1997>. « Challenges in the Introduction of Artificial Intelligence in Companies from a Moral-Economic Perspective ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2022. http://hdl.handle.net/10579/20816.
Texte intégralRésumé :
Global companies manifest a growing trend in the adoption of Artificial Intelligence,
mainly due to the economic benefits it brings to the organizations, such as the increase of efficiency and productivity, by resulting in an overall rise in profits. However, companies must also be aware of some ethical issues that the adoption of AI
requires. Unemployment, inequality, security, and transparency are only some of the
ethical risks with which companies have to deal with. It turns out that managers are
required to making decisions in the so-called “ethical dilemma” situations, in which
his/her actions have different consequences towards different segments of the society. An apparent right action for a group of people, could be regarded as unethical
practices for others, and therefore, it is not easy for manager takes a position. For
this reason, three normative ethical theories are applied in the context of AI use
within companies, as they provide some ethical guidelines. The three ethical theories taken into consideration are: the theory of responsibility by Hans Jonas, Kant’s
categorical imperative, and the capability approach from Sen / Nussbaum. In order
to operationalize and interconnect these three ethical theories, a business ethics
Canvas is developed. Finally, this model is applied to a real corporate case: the introduction of the AI software, called SO99+, in Fischer Italia.
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Baesso, Elisa <1983>. « INTELLIGENZA EMOTIVA E LA CONSULENZA FINANZIARIA ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2013. http://hdl.handle.net/10579/3305.
Texte intégralRésumé :
IL LAVORO SVOLTO HA ANALIZZATO IL CONCETTO DI INTELLIGENZA EMOTIVA E LE SUE IMPLICAZIONI NELLA VITA DELL'INDIVIDUO, IN OGNI SFERA DELLA VITA. IN PARTICOLAR MODO L'INTELLIGENZA EMOTIVA DOVREBBE ESSERE CONOSCIUTA,STUDIATA ED APPLICATA DAL CONSULENTE FINANZIARIO, PERCHE' PUO' DIVENTARE UN VALIDO SUPPORTO LAVORATIVO, PER GARANTIRE RAPPORTI STABILI E DI FIDELIZZAZIONE CON I CLIENTI.
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Bahouka-Debat, Armand. « Appropriation et mise en oeuvre de l'intelligence et de la sécurité économique dans le contexte de l'économie congolaise : une plateforme expérientielle : la direction générale de l'économie ». Phd thesis, Conservatoire national des arts et metiers - CNAM, 2011. http://tel.archives-ouvertes.fr/tel-00629875.
Texte intégralRésumé :
Dans cette thèse, nous démontrons la nécessité de l'appropriation de l'Intelligence Economique (IE) en tant que culture et mode de gouvernance alternatif capable d'aider un pays en développement à affronter les défis et enjeux triple. Ceux relatifs au sous-développement, au développement alternatif et à la mondialisation. S'approprier l'IE dans le contexte particulier de l'économie Congolaise pour en faire un mode de gouvernance au service du développement et de la coopétitivité renvoie ainsi à deux exigences. La première, consiste à revisiter l'IE afin de mettre en valeur ses avancées, révéler ses limites et l'enrichir d'une capacité de réponse adaptée aux besoins d'un pays en développement. La deuxième exigence consiste à analyser le champ d'appropriation de l'IE afin d'en identifier la nature, d'en dresser le profil et d'articuler ces éléments à ceux des moyens de l'IE dont la plasticité acquise permet désormais d'être adaptés à la contingence en examen. L'objectif est de proposer des moyens pertinents à la mise en œuvre efficiente de l'IE. La conceptualisation des modes opératoires d'intelligence et de sécurité économique (2S-MOISE) chevillé au dispositif stratégique et opératoire du développement (DS-OD), au " M'BONGUI " ainsi qu'au schéma d'analyse de dominance systémique nous permet de répondre à cette double exigence. L'usage de la démarche incrémentale via la transculturation nous permet par ailleurs de présenter les modalités concrètes du processus d'appropriation de l'IE grâce à l'action de la direction générale de l'économie (DGE), vectrice dudit processus tant au sein des instances nationales, qu'au niveau du système éducatif et dans la sphère entrepreneuriale. Une série de préconisations dont la définition d'éléments d'une politique publique d'IE, la mise en place d'un dispositif d'IE et d'un système d'information qui réponde aux besoins de gouvernance fonctionnelle, opérationnelle et stratégique ont été proposés.
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Konate, Mathy. « La mise en place d'une cellule d'Intelligence Économique en Côte d'Ivoire : cas du secteur touristique ». Thesis, Brest, 2015. http://www.theses.fr/2015BRES0041.
Texte intégralRésumé :
La mise en place d’une cellule d’Intelligence économique en Côte d’Ivoire, Cas du secteur touristique. Cette thèse porte sur la mise en place d’une cellule d’Intelligence économique en Côte d’Ivoire compte tenu des spécificités culturelles et organisationnelles de ce pays, notamment en matière d’informations. Elle s’intéresse particulièrement au secteur de l’industrie touristique de la Côte d’Ivoire. L'IE fait aujourd'hui partie intégrante de l'économie mondiale fondée sur l'économie du savoir, elle fait de l'information le maillon central de la chaine et permet aux organisations de déceler les opportunités de croissance tout en se protégeant d'éventuelles menaces. Le concept, né au sein de grands groupes issus des pays développés, ne peut souvent pas être appliqué tel quel aux petites et moyennes organisations et encore moins à celles des pays du tiers monde. La Côte d'ivoire peinant à sortir de la crise ainsi que des importants désordres structurels et organisationnels qui minent son économie, a du mal à trouver sa place au sein de cette « nouvelle » culture collective de l'information. Notre démarche consistera, sur la base d'entretiens préalables à toute analyse, à établir un modèle méso économique de cellule d'IE viable en Côte d'ivoire. Sur un plan méthodologique, cette thèse s’articule après une revue de la littérature, à la sélection d’un échantillon de 10 entreprises de l’industrie touristique ivoirienne dans une démarche qualitative reposant sur des entretiens semi-directifs. Elle se décompose en six chapitres, proposant l’aller du général au particulier. Ainsi, le chapitre premier de cette étude propose de comprendre les fondements de l’intelligence. Tandis que le chapitre II s’intéresse à l’IE dans son approche fonctionnelle et que le chapitre III s’intéresse aux PME ainsi qu’à leur pratique de l’IE notamment dans le contexte du sous développement. Dans un second temps, les chapitre 4, 5 et 6 proposent d’approfondir notre étude en effectuant l’état des lieux de l’économie de la connaissance au sein du contexte particulier d’un pays tel que la Côte d’Ivoire mais également du secteur particulier de notre étude, à savoir, l’industrie touristique ivoirienne. S’ensuit la mise en exergue de facteurs clés de succès de l’IE au sein de l’entreprise ivoirienne appuyée par le cas pratique portant sur l’échantillon sélectionné. Ces travaux permettent la mise en relief les attentes et les besoins des acteurs d’un secteur donné en matière d’IE et d’aboutir à une série d’actions à réaliser pour la pratique de l’IE dans le contexte ivoirien, au sein de l’activité choisie. Dans une logique réplicative, ce plan de mise en œuvre pourra être appliqué à l’ensemble des secteurs sur la base des attentes des acteurs de ceux-ciThis thesis focuses on the establishment of an economic Intelligence in Côte d'Ivoire given cell specificities cultural and organizational of this country, particularly with regard to information. It is particularly interested in the sector of the tourism industry in Côte d'Ivoire. Business Intelligence is today part integral of the world economy based on the knowledge economy, it is the central link in the chain information and enables organizations to identify growth opportunities while protecting any threats. The concept, born within large groups of developed countries, often cannot be applied as to small and medium-sized organizations and even less to those of the countries of the third world. Côte d'Ivoire struggling to get out of the crisis and important organizational and structural disorders that undermine its economy, has difficulties to find its place in this 'new' collective culture of the information era. Our approach will be based on prior interviews to any analysis, to establish a model meso economic IE cell viable in Côte d'Ivoire. On a methodological level, this thesis is structured after a review of the literature, to the selection of a sample of 10 companies of the Ivorian tourism industry in a qualitative approach based on semi-structured interviews. It breaks down into six chapters, offering the go from the general to the particular. These work highlighted the expectations and needs of the actors in a given area in Business Intelligence and lead to a series of actions to achieve for the practice of Business Intelligence in the Ivorian context, within the chosen activity. In replicative logic, this implementation plan can be applied to all the sectors on the basis of the expectations of the actors
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Nardin, Alessio <1996>. « Artificial Intelligence as a General Purpose Technology : an exploratory analysis of PCT patents ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2021. http://hdl.handle.net/10579/19003.
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La presente tesi si propone di esplorare alcune delle questioni riguardanti l'impatto dell'Intelligenza Artificiale sull'innovazione. In particolare, indaga se l'IA possa essere considerata sia come una General Purpose Technology che come un innovativo strumento di ricerca, una categoria tecnologica definita nella letteratura come "General Method of Inventing" . L'IA causerà perturbazioni economiche e sociali, mentre favorirà la crescita economica e lo sviluppo tecnologico. Dopo un'introduzione storica e concettuale sulle meccaniche dell'IA e una presentazione delle istituzioni che regolano l'innovazione (come i diritti di proprietà intellettuale), la tesi si concentra sull'impatto dell'IA sull'innovazione, sia attraverso un'analisi qualitativa delle diverse modalità in cui l'IA può essere impiegata che attraverso l'impiego di nuovi e tradizionali indicatori utilizzati per individuare le GPT nei brevetti.
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Fang, Hsiao-jung Belinda. « The environmental economic & ; social implications of the intelligent transport system in Hong Kong ». Click to view the E-thesis via HKUTO, 2002. http://sunzi.lib.hku.hk/hkuto/record/B42576593.
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Iqbal, Tahir, et Md Nazmul Khan. « The Impact of Artificial Intelligence (AI) on CRM and Role of Marketing Managers ». Thesis, Högskolan i Gävle, Avdelningen för ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-35225.
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Background- Emergence of artificial intelligence (AI) has transformed the dynamics of the business world. AI tools are changing the way marketers used to do business and these changes are so profound that it has become difficult for marketing managers to overlook the importance of investing in and adopting AI as an integral part of the marketing function. Companies which have implemented AI in their Customer Relationship Management (CRM) and marketing as a whole,have reported significant impacts on company’s growth in terms of customer loyalty and profitability. In recent years, we also witness emergence of specialized software and IT companies which are dedicated to produce customized marketing solutions and programs targeted at customer relationship management and marketing. They produce enterprise applications for marketing automation, analytics, and application development. Consequently, the role of marketing managers has also transformed and is expected to change even more in the future. This calls for further research, as the area appears to have received little attention in relation to its weight of importance. Aim- The main purpose of our thesis is to contribute to the literature of what changes have been introduced in the function of CRM as a result of AI integration and how these ongoing changes have affected the role of marketing managers. Results- The findings of the research show a connection that exists between the 3 factors, Artificial intelligence, CRM and role of marketing managers/decision makers. The ongoing changes that are occurring in marketing as a result of AI are not only limited to transforming the marketing function of business, it is rather consequently changing the way marketing manager make decisions and the way they interpret data. It is becoming increasingly essential for marketing managers to upgrade their skillsets and acquire sound technical knowledge in addition to deep understanding of marketing concepts. Contribution- The evolution of AI is impacting all areas of business and to harvest maximum benefits, adoption and change in all aspects is equally important. This study offers guideline to marketing managers for successful application of AI and its impact on the overall performance.
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Riski, V. (Ville). « Authoritarian management versus emotionally intelligen leadership ». Bachelor's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201705252107.
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CURRELI, MARCO. « Integrazione tra digital intelligence e business intelligence : quali opportunità per le imprese della GDO. Il caso della Magazzini Gabrielli S.p.A ». Doctoral thesis, Università Politecnica delle Marche, 2016. http://hdl.handle.net/11566/243092.
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Il mondo del retail ha subito dei cambiamenti radicali, con l’avvento dei primi canali di vendita online e con il costante ricorso a processi di digitalizzazione. Per fare fronte a tali cambiamenti, molte aziende del settore retail hanno iniziato a sviluppare strategie e modelli di business in grado di sfruttare al meglio le opportunità del “mondo digitale”, iniziando a ripensare le proprie strategie in un’ottica multicanale.
Il lavoro di ricerca si focalizza sulla valutazione del livello di integrazione multi canale raggiunto da un retailer di piccole – medie dimensioni, cercando inoltre di fornire un prima analisi degli impatti sulle performance complessive dell’organizzazione considerata. In particolare si riscontra che l’efficacia di una strategia multicanale, si massimizza principalmente grazie all’incremento delle competenze in termini di information technology all’interno dell’azienda (Lih-Bin, Hock-Hai, & Vallabh, 2012). L’analisi empirica rileva, altresì, che l’IT risulta un attivatore fondamentale per avviare un processo di integrazione dei flussi informativi trasversalmente a diversi canali (o touchpoint) (Neslin et al. 2006), fornendo quindi una esperienza multicanale integrata.
Si prospetta pertanto, una importante sfida competitiva che i retailer dovranno affrontare, e che richiede delle specifiche competenze in termini di innovazione e di management.Retailing has undergone radical changes with the advent of online sales channels and the constant use of the digital technology. To face these changes, many retail companies have begun to develop new strategies and adapt their business models, in order to exploit opportunities of the new "digital world". They start to rethink their strategies in a multichannel view. The research focuses on the multichannel integration reached by a small and medium retailer; it also tries to understand which are the preliminary impacts on the overall performance. Particularly the effectiveness of a multi-channel strategy, has mainly maximized thanks to the IT competencies of the retailer (Lih-Bin, Hock-Hai, & Vallabh, 2012). The empirical analysis also highlights that IT competence is an important activator to start the information integration process, in order to share the same information through different channels (touchpoint) (Neslin et al. 2006), and to provide an integrated multichannel customer experience. So the small and medium retailers face a major competitive challenge, which requires specific skills in terms of innovation and management.
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Bäckström, Amanda, et Hannah Larsson. « Is There Such A Thing As Too Much Intelligence ? : A qualitative study exploring how Born Global e-commerce companies are working towards adopting Artificial Intelligence into their Customer Relationship Management Systems ». Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-74865.
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The purpose of this thesis is to explore the drivers and barriers of adoption of technology such as AI and how it could facilitate an internationalization. The thesis also hopes to explore how Born Global e-commerce companies are working towards an adoption of AI into the companies CRM-system. The model of multiple case study was chosen together with a qualitative method and an abductive approach. This was done by collecting primary data from three different Born Global firms within the e-commerce sector, as well as one CRM expert company, all located in Sweden and active on the international market. Furthermore, the theoretical framework presented Born Global, Technology Adoption, Customer Relationship Management and Artificial Intelligence. With the theoretical framework in mind, the conceptual framework was developed to show how the theories are connected to each other. Thereafter, the empirical findings were first presented and analysed together with theory and the voice of the authors of the thesis. The analysis visualize both similarities and dissimilarities between the empirical findings and the theory presented in the thesis. The final chapter concludes the barriers and drivers that Born Global e-commerce companies faces when adopting AI into their CRM-system. It also explains how AI within CRM could be beneficial as a tool on the Global market, rather than in the actual process of internationalization. To conclude the authors present the fact that companies are not working towards an adoption of AI into their CRM-systems. However, further development within the field is presented as well as theoretical and practical implications.
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Mastrapasqua, Pietro <1992>. « D|air Ski by Dainese L'innovazione dell'airbag intelligente per gli sciatori ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/17896.
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Scopo della tesi è indiagare il processo di sviluppo prodotto adottato dall'azienda Dainese per creare il primo airbag con tecnologia stand-alone rivolto agli sciatori professionisti.
Successivamente ad un inquadramento della storia aziendale e delle milestones raggiunte dal 1972 ad oggi, ci soffermeremo sulla tecnologia airbag il cui concetto è stato rivoluzionato dall'azienda stessa. Inqudrato l'inizio nel mondo moto, il focus verterà sullo sviluppo del prodotto finalizzato al mondo sci.
Analizzeremo il processo, le tecniche e gli step che hanno portato a definire un prodotto tanto robusto quanto innovativo per il mercato. Non mancherà un dettaglio di quelli che sono gli enti che hanno collaborato alla buona riuscita del progetto oltre che dei principali competitors del settore.
Al termine della tesi verranno indicati i risultati, sia economici che marketing, derivanti da tale innovazione oltre che i possibili sviluppi futuri concatenati al progetto iniziale.
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Möller, Gustavo. « National Intelligence Systems as networks : Brazil, Russia, India, China, and South Africa ». reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/132988.
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Nesse artigo, comparamos, por meio da Análise de Redes, a dimensão institucional dos Sistemas Nacionais de Inteligência. Com base em fontes ostensivas sobre as agências de inteligência, entrevistas com especialistas de cada país e revisão bibliográfica, foi possíel compilar uma base de dados capaz de mapear as relações (arestas) de comunicação e autoridade entre os três tipos de atores coletivos (vértices): organizações governamentais de supervisão e direção, organizações colegiadas de coordenação e agências de inteligência. Por enquanto, a base de dados é composta de informações no formato de matrizes e grafos de 34 países com centenas de dados. Como resultado, estão sendo consuzidos estudos de casos sobre os países, assim como análises comparativas com amostras pequenas. Os estudos comparados estão sendo orientados de acordo com um determiando conjunto de paises ou de variáveis de interesse (centralidade de grau, centralidade de intermediação, centralização de grau e centralização de intermediação). Neste exercício em particular, os resultados obtidos indicam a distribuição de poder e as vulnerabilidades organizacionais no nível de países, permitindo comparações dentro e entre os Sistemas Nacionai de Inteligências do Brasil, Rússia, India, China e África do Sul (BRICS).In this article we compare institutional dimensions of National Intelligence Systems using Network Analysis. Based upon open data on intelligence agencies, interviews with country expert scholars, and bibliographical review, we were able to compile a database allowing the mapping of authority and communication links (edges) between three types of collective actors (nodes), namely intelligence agencies, coordinating bodies, and central government. So far, the database comprises matrix and graph information for thirty-four countries each with hundreds of data points. As a result, case studies on specific countries, as well as small n comparative analyses are being conducted. Comparative studies are driven either by interest in clusters of countries or in variables of interest (degree centrality, betweenness centrality, degree centralization, and betweenness centralization). In this particular exercise, results obtained indicate power distributions and organizational vulnerabilities at country level, allowing for comparisons between and among the national intelligence systems of Brazil, Russia, India, China, and South Africa (BRICS).
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Gashi, Endrit <1992>. « Business Intelligence as a Mangement Tool ; Case study in Performance Dashboard Implementation ». Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/12507.
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Analysis and implementation of BI tools in the management of a company. Creation of a platform called Performance Dashboard or directional dashboard, with a software, in order to evaluate the performance of a company operating in the metal sector. The dashboard will contain some Gauges connected to the database, which will represent the KPIs. Information and data concerning the literature will be consulted on the university databases and on the main economic journals. While the data related to the dashboard, or the Perfromance Dashboard, derive from personal experience at a company operating in the metal industry. The software called Pentaho, instead, will be downloaded (free version) from the internet.
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Campos, Catarina Sofia Pereira. « Is Cultural Intelligence also Important in Repatriation ? » Master's thesis, 2021. https://hdl.handle.net/10216/139098.
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