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Profiling professional and regular users on popular Internet services based on implementation of large scale Internet measurement tools / Profilage d'usagers professionnels et non-professionnels de services Internet basés sur l'implémentation d'outils de mesure Internet à grande échelleFarahbakhsh, Reza 21 May 2015 (has links)
Les services Internet populaires modèlent et remodèlent fondamentalement les moyens traditionnels de communication des personnes, ayant ainsi un impact majeur sur leur vie sociale. Deux des services Internet très populaires avec cette caractéristique sont les Réseaux sociaux en ligne (OSN) et les systèmes Peer-to-Peer (P2P). Les ONS fournissent un environnement virtuel où les gens peuvent partager leurs informations et leurs intérêts tout en étant en contact avec d'autres personnes. D'autre part, les systèmes P2P, qui sont toujours l'un des services populaires avec une grande proportion de l'ensemble du trafic Internet, offrent une occasion en or pour leurs clients de partager un type de contenu différent, y compris le contenu protégé. En dehors de l'énorme popularité des ONS et des systèmes de P2P parmi les utilisateurs réguliers, ils sont intensivement utilisés par les professionnels (grandes entreprises, politiciens, athlètes, célébrités en cas d'ONS et éditeurs de contenu professionnels en cas de P2P) afin d'interagir avec les gens à des fins différentes (campagnes marketing, les commentaires des clients, amélioration de la réputation publique, etc.) Dans cette thèse, nous caractérisons le comportement des utilisateurs réguliers et professionnels dans les deux services mentionnés populaires (ONS et P2P) en termes de stratégies de publication, de consommation de contenu et d'analyse comportementale. À cette fin, cinq de nos études menées sont présentées dans ce manuscrit comme suit: - "L'évolution des contenus multimédias", qui présente une analyse approfondie sur l'évolution du contenu multimédia disponible en BitTorrent en se concentrant sur quatre mesures pertinentes à travers différentes catégories de contenu : la disponibilité du contenu, la popularité du contenu, la taille de contenu et les commentaires de l'utilisateur - "La réaction des utilisateurs professionnels face aux actions de lutte contre le piratage", en examinant l'impact de deux grandes actions de lutte contre le piratage - la fermeture de Megaupload et la mise en œuvre de la loi anti-piratage française (HADOPI) - sur le comportement des publicateurs professionnels dans le plus grand portail de BitTorrent qui sont les principaux fournisseurs de contenu en ligne protégé. - "La quantité d'informations divulguées sur Facebook", en enquêtant sur l'exposition publique des profils utilisateurs, une grande base de données comprenant un demi-million d'utilisateurs réguliers. - "Les utilisateurs professionnels Cross Posting Activity», en analysant le modèle de publication des utilisateurs professionnels de mêmes informations sur trois grands ONS à savoir Facebook, Google+ et Twitter. - "Les stratégies des utilisateurs professionnels dans les ONS", où nous étudions la stratégie globale d'utilisateurs professionnels par secteur (par exemple, les entreprises de voitures, l'habillement, politiques, etc.) sur Facebook, Google+ et Twitter. Les résultats de cette thèse fournissent une vision d'ensemble pour comprendre certains aspects comportementaux importants de différents types d'utilisateurs des services Internet populaires et ces contributions peuvent être utilisées dans divers domaines (par exemple analyse de campagne marketing et publicité, etc.) et les différentes parties peuvent bénéficier des résultats et des méthodologies mises en œuvre telles que les FAI et les propriétaires des services pour leur planification ou l'expansion des services actuels à venir, ainsi que les professionnels pour accroître leur succès sur les médias sociaux / Popular Internet services are fundamentally shaping and reshaping traditional ways of people communication, thus having a major impact on their social life. Two of the very popular Internet services with this characteristic are Online Social Networks (OSNs) and Peer-to-Peer (P2P) systems. OSNs provide a virtual environment where people can share their information and interests as well as being in contact with other people. On the other hand, P2P systems, which are still one of the popular services with a large proportion of the whole Internet traffic, provide a golden opportunity for their customers to share different type of content including copyrighted content. Apart from the huge popularity of OSNs and P2P systems among regular users, they are being intensively used by professional players (big companies, politician, athletes, celebrities in case of OSNs and professional content publishers in case of P2P) in order to interact with people for different purposes (marketing campaigns, customer feedback, public reputation improvement, etc.). In this thesis, we characterize the behavior of regular and professional users in the two mentioned popular services (OSNs and P2P systems) in terms of publishing strategies, content consumption and behavioral analysis. To this end, five of our conducted studies are presented in this manuscript as follows: - “The evolution of multimedia contents", which presents a thorough analysis on the evolution of multimedia content available in BitTorrent by focusing on four relevant metrics across different content categories: content availability, content popularity, content size and user's feedback. - “The reaction of professional users to antipiracy actions", by examining the impact of two major antipiracy actions, the closure of Megaupload and the implementation of the French antipiracy law (HADOPI), on professional publishers behavior in the largest BitTorrent portal who are major providers of online copyrighted content. - “The amount of disclosed information on Facebook", by investigating the public exposure of Facebook users' profile attributes in a large dataset including half million regular users. - “Professional users Cross Posting Activity", by analyzing the publishing pattern of professional users which includes same information over three major OSNs namely Facebook, Google+ and Twitter. - “Professional Users' Strategies in OSNs", where we investigate the global strategy of professional users by sector (e.g., Cars companies, Clothing companies, Politician, etc.) over Facebook, Google+ and Twitter. The outcomes of this thesis provide an overall vision to understand some important behavioral aspects of different types of users on popular Internet services and these contributions can be used in various domains (e.g. marketing analysis and advertising campaign, etc.) and different parties can benefit from the results and the implemented methodologies such as ISPs and owners of the Services for their future planning or expansion of the current services as well as professional players to increase their success on social media
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Channel Allocation in Mobile Wireless Networks / Allocation de canaux dans les réseaux sans fil mobilesShigueta, Roni 13 July 2018 (has links)
L'utilisation intensive des services de données mobiles a de plus en plus augmenté la consommation de ressources sur les réseaux sans fil. La ressource principale utilisée pour la communication sans fil est le spectre de fréquence. À mesure que le trafic de données augmente brusquement, de nouvelles bandes du spectre de fréquences ne sont pas disponibles dans la même proportion, ce qui rend le spectre de fréquence de plus en plus rare et saturé. Plusieurs propositions ont été présentées pour optimiser l'allocation des canaux de fréquences afin d'atténuer les interférences entre les liaisons proches qui transmettent des données. Beaucoup d'entre eux utilisent un critère unique et ne considèrent pas le comportement de l'utilisateur pour guider le processus d'allocation de canaux. Les utilisateurs ont des cycles de routine et un comportement social. Ils passent au travail, à l'école, utilisent leurs appareils mobiles générant du trafic de données, et rencontrent des amis formant des groupes. Ces caractéristiques peuvent être explorées pour optimiser le processus d'allocation des canaux.Cette thèse présente une stratégie d'allocation de canaux pour les réseaux sans fil basée sur le comportement de l'utilisateur. Notre contribution principale consiste à considérer certaines caractéristiques du comportement de l'utilisateur, telles que la mobilité, le trafic et la popularité dans le processus d'allocation des canaux. De cette façon, nous priorisons l'allocation de canaux pour les nœuds qui resteront dans le réseau dans une fenêtre de temps future, avec un trafic plus élevé dans le réseau, et avec plus de popularité. Nous adoptons une approche distribuée qui permet de limiter le nombre de messages échangés dans le réseau tout en répondant rapidement aux changements de la topologie du réseau. Dans notre évaluation des performances, nous considérons des scénarios dans des réseaux ad hoc et véhiculaires, et nous utilisons des modèles de mobilité synthétique, tels que SLAW et Manhattan grid, et l'ensemble de données de traces de ville de Cologne. Dans les scénarios, nous comparons notre mécanisme avec différents types de techniques : une centralisée (nommée TABU), une autre aléatoire (nommée RANDOM), une avec la plus grande distance spectrale (appelée LD) et une avec un seul canal (appelée SC). Nous évaluons les métriques telles que le débit agrégé, le débit de livraison des paquets et le délai de bout en bout.Les simulations envisageant un scénario ad hoc avec un routage monodiffusion montrent que notre stratégie présente des améliorations en termes de débit de l'ordre de 14,81% par rapport à RANDOM et de 16,28% par rapport à l'allocation de canal LD. Dans le scénario véhiculaire, notre stratégie montre des gains de taux de livraison de paquets de l'ordre de 11,65% et de 17,18% par rapport aux méthodes RANDOM et SC, respectivement. Dans ces deux scénarios, la performance de notre stratégie est proche de la limite supérieure donnée par l'approche centralisée de TABU, mais avec l’envoie de moins des messages. / The intensive use of mobile data services has increasingly increased resource consumption over wireless networks. The main resource used for wireless communication is the frequency spectrum. As data traffic rises sharply, new bands of the frequency spectrum are not available in the same proportion, making the frequency spectrum increasingly scarce and saturated. Several proposals have been presented to optimize frequency channel allocation in order to mitigate interference between nearby links that are transmitting data. Many of them use a single criterion and does not consider the user behavior to guide the channel allocation process. Users have routine cycles and social behavior. They routinary move to work, to school, use their mobile devices generating data traffic, and they meet with friends forming clusters. These characteristics can be explored to optimize the channel allocation process.This thesis presents a channel allocation strategy for wireless networks based on user behavior. Our main contribution is to consider some characteristics of the user behavior, such as mobility, traffic, and popularity in the channel allocation process. In this way, we prioritize the channel allocation for the nodes that will remain in the network in a future time window, with higher traffic in the network, and with more popularity. We adopt a distributed approach that allows limiting the number of messages exchanged in the network while quickly responding to changes in the network topology. In our performance evaluation, we consider scenarios in ad hoc and vehicular networks, and we use some synthetic mobility models, such as SLAW and Manhattan grid, and the traces dataset of Cologne city. In the scenarios, we compare our mechanism with different types of approaches: i.e., a centralized (named TABU), a random (named RANDOM), a with largest spectral distance (named LD), and a with single channel (named SC). We evaluate metrics such as aggregated throughput, packet delivery rate, and end-to-end delay. Simulations considering ad hoc scenario with unicast routing show that our strategy presents improvements in terms of throughput at the order of 14.81% than RANDOM and 16.28% than LD channel allocation. In vehicular scenario, our strategy shows gains of packet delivery rate at the order of 11.65% and 17.18% when compared to RANDOM and SC methods, respectively. In both scenarios, the performance of our strategy is close to the upper bound search of the TABU centralized approach, but with lower overhead.
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Nya betalmedel : Hur accepterat är egentligen Bitcoin?Elsa, Winai, Joar, Lundgren January 2023 (has links)
Bitcoin är en teknologi som har blivit allt mer etablerad i det svenska samhället. Trots att så pass många känner till teknologin är det fortfarande väldigt få som använder den. Denna studie ämnar undersöka vad som påverkar det svenska folkets acceptans av Bitcoin med hjälp av det teoretiska ramverket TAM, samt med tillägg för finansiell risk och med ett fokus på demografiska variablers (externa faktorers) påverkan på acceptansen. En kvantitativ surveyundersökning genomfördes genom en webbenkät, där totalt 204 respondenter deltog. Resultaten från enkäten analyserades med hjälp av dataanalysmetoden PLS-SEM vilket visade att upplevd användarnytta hade en signifikant positiv påverkan på en individs attityd mot Bitcoin. Vidare visade studien en signifikant positiv koppling mellan den upplevda användarvänligheten och den upplevda nyttan av Bitcoin. Dock fann studien att de testade externa faktorerna samt att tillägget av finansiell risk inte hade någon signifikant påverkan på resultatet. / Bitcoin is a technology that has become increasingly established in Swedish society. Despite the fact that so many people know about the technology, very few actually use it. This study aims to investigate what affects the Swedish people's acceptance of Bitcoin using the theoretical framework TAM, as well as with additions for financial risk and with a focus on the influence of demographic variables (external factors) on acceptance. A quantitative survey was conducted using a web survey, in which a total of 204 respondents participated. The results from the survey were analyzed using the data analysis method PLS-SEM, which showed that perceived usefulness had a significant positive impact on an individual's attitude towards Bitcoin. Furthermore, the study showed a significant positive link between an individual's perceived ease of use and their perceived usefulness of Bitcoin. However, the study found that the tested external factors and that the addition of financial risk had no significant impact on the result.
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Spam Analysis and Detection for User Generated Content in Online Social NetworksTan, Enhua 23 July 2013 (has links)
No description available.
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The Role of Social Media in the Activism Measures of Nonprofit Organizations : An Empirical Study of Nonprofit OrganizationsRuzic, Sara January 2022 (has links)
Social media and its underlying technologies have created an advanced and sophisticated platform for digital activism. As a result, companies and organizations are undergoing a pivotal transition in how they reach and engage with users in a fast and efficient manner. Specifically, nonprofit organizations have taken advantage of using social media platforms to not only amplify their brand and image, but also spread awareness of their mission to larger audiences. The aim of this study is to delve into the use of social media in the activism measures of nonprofit organizations and determine its effectiveness across the organizations. First, an in depth literature analysis will explore social media and its impact on digital activism as well as how social media has been utilized by renown nonprofits in the case studies of Greta Thunberg, and the Black Lives Matter movement. Second, the study will depict both qualitative and quantitative data taken from local nonprofit organizations that explore the impact of social media towards their activism measures. The case companies used in this study are Dolgin Digital Media and the Local Initiatives Support Corporation. After a thorough analysis of the qualitative and quantitative data, it was determined that social media is an effective tool for nonprofits to not only communicate their mission efficiently and quickly to a mass audience, but also as a mechanism for brand amplification. / Sociala medier och dess underliggande tekniker har skapat en avancerad och sofistikerad plattform för digital aktivism. Som ett resultat genomgår företag och organisationer en avgörande övergång i hur de når och samarbetar med användare på ett snabbt och effektivt sätt. Specifikt har ideella organisationer utnyttjat att använda sociala medieplattformar för att inte bara förstärka sitt varumärke och sin image, utan också sprida medvetenheten om deras uppdrag till större publik. Syftet med denna studie är att fördjupa användningen av sociala medier i ideella organisationers aktivismåtgärder och bestämmadess effektivitet i organisationerna. Först, en djupgående litteraturanalys kommer att utforska sociala medier och dess inverkan på digital aktivism samt hur sociala medier har använts av kända ideella organisationer i fallstudierna av Greta Thunberg, och Black Lives Matter-rörelsen. För det andra kommer studien att skildra både kvalitativa och kvantitativa data som tas från lokala ideella organisationer som undersöker effekterna av sociala medier på deras aktivismåtgärder. De fallföretag som används i denna studie är Dolgin Digital Media och Local Initiatives Support Corporation. Efter en grundlig analys av kvalitativa och kvantitativa data, det fastställdes att sociala medier är ett effektivt verktyg för ideella organisationer för att inte bara kommunicera sitt uppdrag effektivt och snabbt till en masspublik, utan också som en mekanism för varumärkesförstärkning.
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A Day in the Life of a Sim: Making Meaning of Video Game Avatars and BehaviorsStark, Jessica 10 April 2018 (has links)
No description available.
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Skyddsåtgärder på sociala medier : En kvalitativ studie om hur individer kan skydda sig mot cyberattacker och varför de inte tillämpar skyddsåtgärder på sociala medierShi, Amy, Sellman, Hanna January 2024 (has links)
Digitala plattformars integration i samhället har omformat hur vi människor kommunicerar, arbetar och lever på. Sociala medier har bidragit till en central del i denna omvandling, samtidigt som det även har ökat risken för individers sårbarheter för cyberattacker. Individer lämnar digitala fotavtryck genom aktiviteter online som kan hota deras integritet och säkerhet. Trots detta saknar många medvetenhet om riskerna och kunskap om hur de kan skydda sig. Syftet med studien är att utforska vilka skyddsåtgärder som kan minska individers sårbarheter för cyberattacker på sociala medier. Dessutom syftar studien till att utforska varför de avstår från att använda dessa skyddsåtgärder. Genom att granska tidigare forskning och analysera de mänskliga faktorer som påverkar säkerhetsmedvetenhet, strävar studien efter att undersöka dessa beteenden. En kvalitativ forskningsansats antogs och datainsamlingen gemfördes med hjälp av semistrukturerade intervjuer. Analysen utfördes med en tematisk analysmetod där tre teman identifierades som är: skyddsåtgärder, sociala medier och attityder och användarbeteende. Slutsatsen är att individer kan tillämpa skyddsåtgärder som starka lösenord, undvika delning av lösenord, tvåfaktorsautentisering och att vara misstänksam mot okända meddelanden för att skydda sig mot cyberattacker. Individer använder inte dessa åtgärder på grund av en naiv attityd kring cyberattacker och upplevd omständighet med att implementera skyddsåtgärder. Trots att vissa blivit offer för cyberattacker fortsätter de att inte tillämpa skyddsåtgärder på grund av bristande förståelse för risker och konsekvenser. / The integration of digital platforms into society has transformed how we communicate, work, and live. Social media has played a central role in this transformation, while also increasing individuals' vulnerabilities to cyberattacks. People leave digital footprints through online activities that can threaten their privacy and security. Despite this, many lack awareness of the risks and knowledge of how to protect themselves. The aim of this study is to explore protective measures that can reduce individuals' vulnerabilities to cyberattacks on social media. Additionally, the study seeks to understand why individuals refrain from using these protective measures. By reviewing previous research and analyzing the human factors affecting security awareness, the study aims to investigate these behaviors. A qualitative research approach was adopted, and data was collected through semi-structured interviews. The analysis was conducted using a thematic analysis method, identifying three themes: protective measures, social media, and attitudes and user behavior. The conclusion is that individuals can apply protective measures such as strong passwords, avoiding password sharing, two-factor authentication, and being suspicious of unknown messages to protect themselves against cyberattacks. Individuals do not use these measures due to a naive attitude towards cyberattacks and the perceived inconvenience of implementing protective measures. Despite some having been victims of cyberattacks, they continue not to apply protective measures due to a lack of understanding of risks and consequences.
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Modeling and Simulation of Electricity Consumption Profiles in the Northern European Building StockSandels, Claes January 2016 (has links)
The electric power systems are currently being transformed through the integration of intermittent renewable energy resources and new types of electric loads. These developments run the risk of increasing mismatches between electricity supply and demand, and may cause non-favorable utilization rates of some power system components. Using Demand Response (DR) from flexible loads in the building stock is a promising solution to overcome these challenges for electricity market actors. However, as DR is not used at a large scale today, there are validity concerns regarding its cost-benefit and reliability when compared to traditional investment options in the power sector, e.g. network refurbishment. To analyze the potential in DR solutions, bottom-up simulation models which capture consumption processes in buildings is an alternative. These models must be simple enough to allow aggregations of buildings to be instantiated and at the same time intricate enough to include variations in individual behaviors of end-users. This is done so the electricity market actor can analyze how large volumes of flexibility acts in various market and power system operation contexts, but also can appreciate how individual end-users are affected by DR actions in terms of cost and comfort. The contribution of this thesis is bottom-up simulation models for generating load profiles in detached houses and office buildings. The models connect end-user behavior with the usage of appliances and hot water loads through non-homogenous Markov chains, along with physical modeling of the indoor environment and consumption of heating and cooling loads through lumped capacitance models. The modeling is based on a simplified approach where openly available data and statistics are used, i.e. data that is subject to privacy limitations, such as smart meter measurements are excluded. The models have been validated using real load data from detached houses and office buildings, related models in literature, along with energy-use statistics from national databases. The validation shows that the modeling approach is sound and can provide reasonably accurate load profiles as the error results are in alignment with related models from other research groups. This thesis is a composite thesis of five papers. Paper 1 presents a bottom-up simulation model to generate load profiles from space heating, hot water and appliances in detached houses. Paper 2 presents a data analytic framework for analyzing electricity-use from heating ventilation and air conditioning (HVAC) loads and appliance loads in an office building. Paper 3 presents a non-homogeneous Markov chain model to simulate representative occupancy profiles in single office rooms. Paper 4 utilizes the results in paper 2 and 3 to describe a bottom-up simulation model that generates load profiles in office buildings including HVAC loads and appliances. Paper 5 uses the model in paper 1 to analyze the technical feasibility of using DR to solve congestion problems in a distribution grid. / Integrering av förnybara energikällor och nya typer av laster i de elektriska energisystemen är möjliga svar till klimatförändringar och uttömning av ändliga naturresurser. Denna integration kan dock öka obalanserna mellan utbud och efterfrågan av elektricitet, och orsaka en ogynnsam utnyttjandegrad av vissa kraftsystemkomponenter. Att använda efterfrågeflexibilitet (Demand Response) i byggnadsbeståndet är en möjlig lösning till dessa problem för olika elmarknadsaktörer. Men eftersom efterfrågeflexibilitet inte används i stor skala idag finns det obesvarade frågor gällande lösningens kostnadsnytta och tillförlitlighet jämfört med traditionella investeringsalternativ i kraftsektorn. För att analysera efterfrågeflexibilitetslösningar är botten-upp-simuleringsmodeller som fångar elförbrukningsprocesser i byggnaderna ett alternativ. Dessa modeller måste vara enkla nog för att kunna representera aggregeringar av många byggnader men samtidigt tillräckligt komplicerade för att kunna inkludera unika slutanvändarbeteenden. Detta är nödvändigt när elmarknadsaktören vill analysera hur stora volymer efterfrågeflexibilitet påverkar elmarknaden och kraftsystemen, men samtidigt förstå hur styrningen inverkar på den enskilda slutanvändaren. Bidraget från denna avhandling är botten-upp-simuleringsmodeller för generering av elförbrukningsprofiler i småhus och kontorsbyggnader. Modellerna kopplar slutanvändarbeteende med elförbrukning från apparater och varmvattenanvändning tillsammans med fysikaliska modeller av värmedynamiken i byggnaderna. Modellerna är byggda på en förenklad approach som använder öppen data och statistisk, där data som har integritetsproblem har exkluderats. Simuleringsresultat har validerats mot elförbrukningsdata från småhus och kontorsbyggnader, relaterade modeller från andra forskargrupper samt energistatistik från nationella databaser. Valideringen visar att modellerna kan generera elförbrukningsprofiler med rimlig noggrannhet. Denna avhandling är en sammanläggningsavhandling bestående av fem artiklar. Artikel 1 presenterar botten-upp-simuleringsmodellen för genereringen av elförbrukningsprofiler från uppvärmning, varmvatten och apparater i småhus. Artikel 2 presenterar ett dataanalytiskt ramverk för analys av elanvändningen från uppvärmning, ventilation, och luftkonditioneringslaster (HVAC) och apparatlaster i en kontorsbyggnad. Artikel 3 presenterar en icke-homogen Markovkedjemodell för simulering av representativa närvaroprofiler i enskilda kontorsrum. Artikel 4 använder resultaten i artiklarna 2 och 3 för att beskriva en botten-upp-simuleringsmodell för generering av elförbrukningsprofiler från HVAC-laster och apparater i kontorsbyggnader. Artikel 5 använder modellen i artikel 1 för att analysera den tekniska möjligheten att använda efterfrågeflexibilitet för att lösa överbelastningsproblem i ett eldistributionsnät. / <p>QC 20160329</p>
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全球資訊網中使用者網頁-動作路徑的資料挖掘林青峰, Lin , Qing-Fung Unknown Date (has links)
客戶在從事消費時,往往會有許多不一樣的行為產生。對組織而言,研究客戶的消費行為能夠協助組織更了解客戶的資訊,進而支援其經營活動。以往與客戶行為相關的資料挖掘研究,較著重於客戶的消費資料。而對於客戶在商店中做了那些動作,及其動作會導致發生的事件並沒有較全盤及深入的討論。對實體業者而言,要實際的去記錄使用者在商店內的行為,是不太可行的;但相對的說,隨著網際網路與資料收集技術的發展,網站經營者應用log留存技術,將比傳統業者更容易且完整的收集到消費者行為記錄。本研究試圖在全球資訊網的環境中建立一個能夠同時分析使用者的瀏覽網頁路徑及其動作過程的演算法;並且配合該演算法建置一個雛形系統,以驗証其效能,最後並評估其日後實務操作的可行性。 / Different kind of customer purchases with different behavior. Studying the customer’s purchase behavior can help organizations understand their client intentions to support their business activities. In the past, customer behavior data mining emphasized on their purchase items, i.e., what they buy. There was few studies discussing what path they took and what actions they made in an e-store. It is impossible for a physical store to record its customers’ all actions and passing paths. However, a website store can easily collect such data in an Internet log. This study proposes a data mining algorithm that can analyze both customers’ browsing pages and their actions path. The algorithm’s efficiency and feasibility were examined in our prototype. This study may contribute to help the website mangers to restructure their website layouts or advertisement position to catch the customer’s eyes.
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Une analyse de l’expérience ponctuelle du site web de marque au travers des bénéfices qu’elle procure et de leurs effets sur la satisfaction et l’attitude de l’internaute : une application aux sites web de marques automobiles / An analysis of the visiting experience of a brand website through its benefits and effects on the satisfaction and the attitude of the consumer : an apply to car brands’ web siteBen Nasr, Imed 26 June 2012 (has links)
La présente recherche traite de l’expérience de consultation du site web d’une marque et de son impact sur les réactions post-visite de l’internaute. Dans cette perspective, une revue de la littérature relative à l’expérience de consommation de manière générale et à l’expérience de navigation de manière spécifique est effectuée. Cette démarche conceptuelle, conjuguée à une étude qualitative exploratoire, a abouti à la proposition d’un modèle conceptuel qui met en exergue le processus psychologique – notamment le mode de traitement et l’expérience d’imagerie mentale – de l’internaute lors de la consultation du site web de marque. De même, ce modèle met au jour les contributions des composantes fonctionnelles et expérientielles de ladite consultation sur la satisfaction et l’attitude de l’internaute.En vue de confirmer le modèle conceptuel, une étude quantitative de type expérimentale est effectuée. Le test des liens subséquents au modèle causal – au moyen des analyses multivariées et de la méthode des équations structurelles – ressort les interactions substantielles qui régissent les éléments antécédents et composants de l’expérience de consultation du site web d’une marque ainsi que leurs influences respectives sur la satisfaction de l’internaute relative au site web et sur son attitude envers la marque. / This research discusses the experience of brand website visit and its consequences on consumer post-visit reactions. In this perspective, a review of the literature related to the theme of consumption experience in general and particularly to online browsing experience is performed. This theoretical approach, combined with an exploratory qualitative study, led to the proposal of a framework model that emphasizes the psychological process - including the way of processing and mental imagery experience - during consumer consultation of a brand website. Similarly, this model reveals the contributions of the utilitarian and experiential components of that consultation on consumer's satisfaction and attitude.To confirm the framework model, a quantitative experiment is performed. The results of the causal model testing - this, using multivariate analyzes and structural equation modeling- put forward the substantial interactions that exist between the antecedent elements and the core components of the brand website experience and the specific influences of these ones on consumer's satisfaction related to the website and attitude toward the brand.
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