1,720,956 research outputs found
Artificial Intelligence in Digital Marketing for Financial Inclusion in Developing Countries: A Systematic Review Protocol
No full textFinancial inclusion has become a strategic priority for international institutions such as the World Bank and the United Nations, as equitable access to financial services is a key driver of sustainable development, especially for vulnerable populations in developing countries. The rapid growth of digital technologies, and particularly artificial intelligence (AI), offers new opportunities to enhance digital marketing practices in financial services. However, it remains unclear whether AI-powered marketing truly contributes to financial inclusion and trust among underbanked populations.
This systematic review aims to identify the main applications of AI in digital marketing within the financial sector, assess their outcomes and limitations, and map existing knowledge regarding their contribution to financial inclusion in developing contexts. The review will follow the PRISMA 2020 guidelines to ensure transparent and rigorous study selection and synthesis. Findings will provide a comprehensive evidence base, highlight research gaps, and inform both academic debates and policymaking on ethical, inclusive, and context-sensitive AI in digital marketing for financial services
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Ethique de l’intelligence artificielle en marketing digital : vers un modèle conceptuel de la confiance des consommateurs au Maroc
No full textThis study aims to examine, through a narrative literature review, how current research addresses the impact of ethical practices on consumer trust and loyalty, with a specific focus on the Moroccan context. The objective is to identify the various dimensions involved in building a trust-based relationship between businesses and their consumers.Findings show that these dimensions influence trust and, consequently, the acceptance of AI technologies in marketing practices. Based on these insights, the article proposes a conceptual model and highlights the importance of adopting a theoretical framework adapted to the realities of emerging markets. It concludes by emphasizing the need to implement ethical practices to build trust and foster the sustainable adoption of artificial intelligence.
JEL Classification : M31, M14, O33, D83
Paper Type : Theoretical ResearchNotre étude vise à examiner, à travers une revue narrative, la manière dont la littérature actuelle aborde l’impact des pratiques éthiques sur la confiance et la fidélité des consommateurs en mettant l’accent sur le contexte marocain. L’objectif est d’identifier les différentes dimensions d’adoption d’une relation de confiance entre les entreprises et leurs consommateurs.
Les résultats montrent que ces dimensions influencent la confiance et donc l’acceptation des technologies IA dans les pratiques marketing. Sur la base de ce constat l’article propose un modèle conceptuel et met en lumière l’importance d’adopter un cadre théorique aux réalités des marchés émergents. Il conclut en soulignant la nécessité de mettre en œuvre des pratiques éthiques afin de bâtir une relation de confiance et favoriser une adoption durable de l’intelligence artificielle.
JEL Classification : M31, M14, O33, D83
Type du papier : Recherche Théoriqu
Ethique de l’intelligence artificielle en marketing digital : vers un modèle conceptuel de la confiance des consommateurs au Maroc
No full textThis study aims to examine, through a narrative literature review, how current research addresses the impact of ethical practices on consumer trust and loyalty, with a specific focus on the Moroccan context. The objective is to identify the various dimensions involved in building a trust-based relationship between businesses and their consumers.Findings show that these dimensions influence trust and, consequently, the acceptance of AI technologies in marketing practices. Based on these insights, the article proposes a conceptual model and highlights the importance of adopting a theoretical framework adapted to the realities of emerging markets. It concludes by emphasizing the need to implement ethical practices to build trust and foster the sustainable adoption of artificial intelligence.
JEL Classification : M31, M14, O33, D83
Paper Type : Theoretical ResearchNotre étude vise à examiner, à travers une revue narrative, la manière dont la littérature actuelle aborde l’impact des pratiques éthiques sur la confiance et la fidélité des consommateurs en mettant l’accent sur le contexte marocain. L’objectif est d’identifier les différentes dimensions d’adoption d’une relation de confiance entre les entreprises et leurs consommateurs.
Les résultats montrent que ces dimensions influencent la confiance et donc l’acceptation des technologies IA dans les pratiques marketing. Sur la base de ce constat l’article propose un modèle conceptuel et met en lumière l’importance d’adopter un cadre théorique aux réalités des marchés émergents. Il conclut en soulignant la nécessité de mettre en œuvre des pratiques éthiques afin de bâtir une relation de confiance et favoriser une adoption durable de l’intelligence artificielle.
JEL Classification : M31, M14, O33, D83
Type du papier : Recherche Théoriqu
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