1,720,960 research outputs found
Artificial Intelligence: A Technological Tool to Manipulate the Psychology and Behavior of Consumers: Theoretical research
No full textInternational audienceIn that emerging digital era, Artificial Intelligence technology headed by machine learning, digital-smart technologies as well as the Big Data that allows predictive analysis has a significant influence over many people precisely those who are not all conscious and aware that the datasets are assembled from their online interactions and activities, consequently it can be used to anticipate and manipulate their purchasing psychology and behavior out of their control. In these terms, this study is going to present the literature that is in relation basically with the approach to the contribution of the artificial intelligence technology in manipulating the purchasing behavior based on the psychological factor. To guide this in deep study we will include multiple sources of the secondary data, going from journal articles, conference papers, internet sources and so on. The main objective is to bridge and eliminate the gap in this somehow empty field of research. The theoretical conclusions will offer an insight about the main importance in terms of implementing the artificial intelligence tools in the field and the department of marketing as a successful way to understand the consumers preferences and their journey in terms of purchasing. The goal is to provide predictive analysis and to know precisely how to manipulate the psychology of consumers in order to influence their behavior. The generation Z are a real opportunity to achieve this aim since they are digitally native and most of their purchasing decisions occurs through the use of their smartphones as they rely on social media for collecting and gathering any kind of informatio
Artificial Intelligence: A Technological Tool to Manipulate the Psychology and Behavior of Consumers: Theoretical research
No full textIn that emerging digital era, Artificial Intelligence technology headed by machine learning, digital-smart technologies as well as the Big Data that allows predictive analysis has a significant influence over many people precisely those who are not all conscious and aware that the datasets are assembled from their online interactions and activities, consequently it can be used to anticipate and manipulate their purchasing psychology and behavior out of their control. In these terms, this study is going to present the literature that is in relation basically with the approach to the contribution of the artificial intelligence technology in manipulating the purchasing behavior based on the psychological factor. To guide this in deep study we will include multiple sources of the secondary data, going from journal articles, conference papers, internet sources and so on. The main objective is to bridge and eliminate the gap in this somehow empty field of research. The theoretical conclusions will offer an insight about the main importance in terms of implementing the artificial intelligence tools in the field and the department of marketing as a successful way to understand the consumers preferences and their journey in terms of purchasing. The goal is to provide predictive analysis and to know precisely how to manipulate the psychology of consumers in order to influence their behavior. The generation Z are a real opportunity to achieve this aim since they are digitally native and most of their purchasing decisions occurs through the use of their smartphones as they rely on social media for collecting and gathering any kind of information
Keywords: Artificial intelligence, Consumer behaviour, Digital Marketing, Manipulation, Psychology.
JEL Classification: M31, M15, D91
Type du papier: Theoretical Research En cette ère digitale émergente, la technologie de l'intelligence artificielle, dirigée par l'apprentissage automatique, les technologies numériques intelligentes ainsi que le Big Data qui permet une analyse prédictive ont une influence significative sur de nombreuses personnes, plus précisément les personnes qui ne sont pas toutes conscientes que les ensembles de données sont assemblés à partir de leurs interactions et activités en ligne, et qu'ils peuvent donc être utilisés pour anticiper et manipuler leur psychologie et leur comportement d'achat sans qu'elles puissent les contrôler. En d'autres termes, cet article va analyser la littérature relative à l'approche de la contribution importante de la technologie manifestée par l'intelligence artificielle dans la manipulation du comportement d'achat sur la base du facteur psychologique. Pour guider cette étude approfondie, nous inclurons de multiples sources de données secondaires, allant d'articles de journaux, de documents de conférence, de sources Internet, etc. L'objectif principal est de combler les lacunes dans ce domaine d'étude. Les conclusions théoriques aideront profondément à présenter un aperçu sur l´utilité non négligeable relative l’usage d'outils d'intelligence artificielle au sein du département marketing comme un moyen efficace pour analyser et comprendre les préférences des consommateurs et leur parcours depuis le début et même avant jusqu’ à la fin du processus d’achat. L'objectif est de présenter une analyse prédictive et de savoir précisément comment peut-on manipuler la psychologie des consommateurs afin d'influencer et diriger leur comportement. La génération Z est une véritable opportunité pour atteindre cet objectif car elle est numériquement native et la plupart de ses décisions d'achat sont prises à l'aide de son smartphone, car elle s'appuie sur les médias sociaux pour collecter et rassembler toutes sortes d'informations.
Mots-clés : Intelligence artificielle, Comportement du consommateur, Marketing numérique, Manipulation, Psychologie.
Classification JEL : M31, M15, D91
Type du papier : Recherche Théorique
 
Artificial Intelligence: A Technological Tool to Manipulate the Psychology and Behavior of Consumers: Theoretical research
No full textIn that emerging digital era, Artificial Intelligence technology headed by machine learning, digital-smart technologies as well as the Big Data that allows predictive analysis has a significant influence over many people precisely those who are not all conscious and aware that the datasets are assembled from their online interactions and activities, consequently it can be used to anticipate and manipulate their purchasing psychology and behavior out of their control. In these terms, this study is going to present the literature that is in relation basically with the approach to the contribution of the artificial intelligence technology in manipulating the purchasing behavior based on the psychological factor. To guide this in deep study we will include multiple sources of the secondary data, going from journal articles, conference papers, internet sources and so on. The main objective is to bridge and eliminate the gap in this somehow empty field of research. The theoretical conclusions will offer an insight about the main importance in terms of implementing the artificial intelligence tools in the field and the department of marketing as a successful way to understand the consumers preferences and their journey in terms of purchasing. The goal is to provide predictive analysis and to know precisely how to manipulate the psychology of consumers in order to influence their behavior. The generation Z are a real opportunity to achieve this aim since they are digitally native and most of their purchasing decisions occurs through the use of their smartphones as they rely on social media for collecting and gathering any kind of information
Keywords: Artificial intelligence, Consumer behaviour, Digital Marketing, Manipulation, Psychology.
JEL Classification: M31, M15, D91
Type du papier: Theoretical Research En cette ère digitale émergente, la technologie de l'intelligence artificielle, dirigée par l'apprentissage automatique, les technologies numériques intelligentes ainsi que le Big Data qui permet une analyse prédictive ont une influence significative sur de nombreuses personnes, plus précisément les personnes qui ne sont pas toutes conscientes que les ensembles de données sont assemblés à partir de leurs interactions et activités en ligne, et qu'ils peuvent donc être utilisés pour anticiper et manipuler leur psychologie et leur comportement d'achat sans qu'elles puissent les contrôler. En d'autres termes, cet article va analyser la littérature relative à l'approche de la contribution importante de la technologie manifestée par l'intelligence artificielle dans la manipulation du comportement d'achat sur la base du facteur psychologique. Pour guider cette étude approfondie, nous inclurons de multiples sources de données secondaires, allant d'articles de journaux, de documents de conférence, de sources Internet, etc. L'objectif principal est de combler les lacunes dans ce domaine d'étude. Les conclusions théoriques aideront profondément à présenter un aperçu sur l´utilité non négligeable relative l’usage d'outils d'intelligence artificielle au sein du département marketing comme un moyen efficace pour analyser et comprendre les préférences des consommateurs et leur parcours depuis le début et même avant jusqu’ à la fin du processus d’achat. L'objectif est de présenter une analyse prédictive et de savoir précisément comment peut-on manipuler la psychologie des consommateurs afin d'influencer et diriger leur comportement. La génération Z est une véritable opportunité pour atteindre cet objectif car elle est numériquement native et la plupart de ses décisions d'achat sont prises à l'aide de son smartphone, car elle s'appuie sur les médias sociaux pour collecter et rassembler toutes sortes d'informations.
Mots-clés : Intelligence artificielle, Comportement du consommateur, Marketing numérique, Manipulation, Psychologie.
Classification JEL : M31, M15, D91
Type du papier : Recherche Théorique
 
Artificial Intelligence: A Technological Tool to Manipulate the Psychology and Behavior of Consumers: Theoretical research
No full textIn that emerging digital era, Artificial Intelligence technology headed by machine learning, digital-smart technologies as well as the Big Data that allows predictive analysis has a significant influence over many people precisely those who are not all conscious and aware that the datasets are assembled from their online interactions and activities, consequently it can be used to anticipate and manipulate their purchasing psychology and behavior out of their control. In these terms, this study is going to present the literature that is in relation basically with the approach to the contribution of the artificial intelligence technology in manipulating the purchasing behavior based on the psychological factor. To guide this in deep study we will include multiple sources of the secondary data, going from journal articles, conference papers, internet sources and so on. The main objective is to bridge and eliminate the gap in this somehow empty field of research. The theoretical conclusions will offer an insight about the main importance in terms of implementing the artificial intelligence tools in the field and the department of marketing as a successful way to understand the consumers preferences and their journey in terms of purchasing. The goal is to provide predictive analysis and to know precisely how to manipulate the psychology of consumers in order to influence their behavior. The generation Z are a real opportunity to achieve this aim since they are digitally native and most of their purchasing decisions occurs through the use of their smartphones as they rely on social media for collecting and gathering any kind of information
Keywords: Artificial intelligence, Consumer behaviour, Digital Marketing, Manipulation, Psychology.
JEL Classification: M31, M15, D91
Type du papier: Theoretical Research En cette ère digitale émergente, la technologie de l'intelligence artificielle, dirigée par l'apprentissage automatique, les technologies numériques intelligentes ainsi que le Big Data qui permet une analyse prédictive ont une influence significative sur de nombreuses personnes, plus précisément les personnes qui ne sont pas toutes conscientes que les ensembles de données sont assemblés à partir de leurs interactions et activités en ligne, et qu'ils peuvent donc être utilisés pour anticiper et manipuler leur psychologie et leur comportement d'achat sans qu'elles puissent les contrôler. En d'autres termes, cet article va analyser la littérature relative à l'approche de la contribution importante de la technologie manifestée par l'intelligence artificielle dans la manipulation du comportement d'achat sur la base du facteur psychologique. Pour guider cette étude approfondie, nous inclurons de multiples sources de données secondaires, allant d'articles de journaux, de documents de conférence, de sources Internet, etc. L'objectif principal est de combler les lacunes dans ce domaine d'étude. Les conclusions théoriques aideront profondément à présenter un aperçu sur l´utilité non négligeable relative l’usage d'outils d'intelligence artificielle au sein du département marketing comme un moyen efficace pour analyser et comprendre les préférences des consommateurs et leur parcours depuis le début et même avant jusqu’ à la fin du processus d’achat. L'objectif est de présenter une analyse prédictive et de savoir précisément comment peut-on manipuler la psychologie des consommateurs afin d'influencer et diriger leur comportement. La génération Z est une véritable opportunité pour atteindre cet objectif car elle est numériquement native et la plupart de ses décisions d'achat sont prises à l'aide de son smartphone, car elle s'appuie sur les médias sociaux pour collecter et rassembler toutes sortes d'informations.
Mots-clés : Intelligence artificielle, Comportement du consommateur, Marketing numérique, Manipulation, Psychologie.
Classification JEL : M31, M15, D91
Type du papier : Recherche Théorique
 
L'intelligence artificielle au service de l'entrepreneuriat digital : aspects clés pour une transformation digitale réussie : Approche théorique
No full textThe digitalization nowadays has become important for most companies to chase the economic gap and resist the crisis, consequently, an emergence of the concept of digital entrepreneurship had taken place. New technologies and tools are used to define opportunities, enable success and deal with struggles and challenges in the market place. Digital entrepreneurship is considered to be a subfield of entrepreneurship that emerged fast and should gain more insights in both research and practice as well. As a form of technology, artificial intelligence continues to emerge and drive the change in different fields included businesses. Most enterprises have adopted the artificial intelligence to reduce tasks, improve the opportunity identification and enhance the performance. Our paper aims to shed light over the emergence of the digital entrepreneurship concept as well as clarifying and explaining the artificial intelligence technology that shows off in multiple forms. Finally, the paper will examine theoretically how the artificial intelligence could help encouraging enterprises success and what keys are important to consider to be successful while guiding digital transformation.
Keywords : Artificial intelligence, digitalization, digital entrepreneurship, digital transformation, technology.
Classification JEL : M41
Paper type: Theoretical ResearchDe nos jours, la digitalisation est devenue importante pour la plupart des entreprises afin de combler le fossé économique et de résister à la crise, ce qui a donné lieu à l'émergence du concept d'entrepreneuriat numérique. Les nouvelles technologies et les nouveaux outils sont utilisés pour identifier les opportunités, favoriser la performance et faire face aux difficultés et aux défis du marché. L'entrepreneuriat digital est considéré comme un sous-domaine de l'entrepreneuriat qui a émergé rapidement et qui devrait être mieux exploré à la fois dans la recherche et dans la pratique. En tant que forme de technologie, l'intelligence artificielle continue d'émerger et d'entraîner des changements dans différents domaines, y compris dans les entreprises. La plupart des entreprises ont adopté l'intelligence artificielle pour réduire les tâches, améliorer l'identification des opportunités et accroître les performances. Notre article vise à apporter un éclairage sur l'émergence du concept d'entrepreneuriat digital ainsi que de clarifier et d'expliquer la technologie de l'intelligence artificielle qui se manifeste sous de multiples formes. Enfin, le document examinera théoriquement comment l'intelligence artificielle pourrait contribuer à stimuler la performance des entreprises et quelles sont les principales clés à prendre en compte pour réussir à piloter la transformation numérique.
Mots clés : L’intelligence artificielle, digitalisation, entrepreneuriat digital, transformation digitale, technologie.
JEL Classification : M41
Type du papier : Recherche théoriqu
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
No full text“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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