1,470 research outputs found

    Mobile banking adoption: a bibliometric analysis

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    [ES] La reciente explosión del uso de aplicaciones en los negocios ha generado nuevos canales de interacción y comunicación con los clientes que están modificando el comportamiento del consumidor. El sector bancario no podía quedarse atrás, implementando la banca móvil para facilitar la relación con los clientes al proporcionar en tiempo real la información financiera del titular de la cuenta y ampliar la gama de servicios disponibles en las sucursales. Es por este motivo que surge el interés en realizar una análisis bibliométrico sobre los estudios de adopción de banca móvil que se han llevado a cabo y ser capaces de identificar tendencias y futuras líneas de investigación. Los datos para el análisis se obtuvieron de la base de datos Elsevier Scopus. La consulta de búsqueda consistió en todas las publicaciones con la frase "adopción de banca móvil" en su título, resumen o palabras clave. Esta búsqueda se realizó el 6 de marzo de 2018, con 94 documentos, incluidos 58 artículos, 26 documentos de conferencia, 4 revisiones, 3 revisiones de conferencia, 2 capítulos de libro y 1 artículo en prensa, que cubren el período de 2005 a febrero de 2018. Se concluyó que el tema está en tendencia, ya que hay muchas publicaciones conjuntas, las publicaciones de múltiples autores representan aproximadamente las tres cuartas partes de todas las publicaciones, los continentes asiático y europeo lideran el número de publicaciones, siendo India y Finlandia los principales países.[EN] The recent explosion of the use of applications in business has generated new channels of interaction and communication with customers that are modifying consumer behavior. The banking sector could not be left behind, implementing mobile banking to facilitate the relationship with customers by providing in real time the financial information of the account holder and expanding the range of services available in the branches, which is why the interest in carry out a bibliometric analysis on the mobile banking adoption studies that have been carried out and be able to identify trends and future lines of research. The data for the analysis were obtained from the Elsevier Scopus database. The search query consisted of all publications with the phrase "mobile banking adoption" and "m-banking adoption" in its title, summary or keywords. This search was made on March 6, 2018, yielding 94 documents, including 58 articles, 26 conference papers, 4 reviews, 3 conference reviews, 2 book chapters and 1 article in press, covering the period from 2005 to February 2018. It can be concluded that the subject is in tension, there being a lot of joint publication, the publications of multiple authors represent approximately three-quarters of all publications, the Asian and European continents lead the number of publications being India and Finland the main countries

    Mobile banking adoption: a bibliometric analysis

    Get PDF
    [ES] La reciente explosión del uso de aplicaciones en los negocios ha generado nuevos canales de interacción y comunicación con los clientes que están modificando el comportamiento del consumidor. El sector bancario no podía quedarse atrás, implementando la banca móvil para facilitar la relación con los clientes al proporcionar en tiempo real la información financiera del titular de la cuenta y ampliar la gama de servicios disponibles en las sucursales. Es por este motivo que surge el interés en realizar una análisis bibliométrico sobre los estudios de adopción de banca móvil que se han llevado a cabo y ser capaces de identificar tendencias y futuras líneas de investigación. Los datos para el análisis se obtuvieron de la base de datos Elsevier Scopus. La consulta de búsqueda consistió en todas las publicaciones con la frase "adopción de banca móvil" en su título, resumen o palabras clave. Esta búsqueda se realizó el 6 de marzo de 2018, con 94 documentos, incluidos 58 artículos, 26 documentos de conferencia, 4 revisiones, 3 revisiones de conferencia, 2 capítulos de libro y 1 artículo en prensa, que cubren el período de 2005 a febrero de 2018. Se concluyó que el tema está en tendencia, ya que hay muchas publicaciones conjuntas, las publicaciones de múltiples autores representan aproximadamente las tres cuartas partes de todas las publicaciones, los continentes asiático y europeo lideran el número de publicaciones, siendo India y Finlandia los principales países.[EN] The recent explosion of the use of applications in business has generated new channels of interaction and communication with customers that are modifying consumer behavior. The banking sector could not be left behind, implementing mobile banking to facilitate the relationship with customers by providing in real time the financial information of the account holder and expanding the range of services available in the branches, which is why the interest in carry out a bibliometric analysis on the mobile banking adoption studies that have been carried out and be able to identify trends and future lines of research. The data for the analysis were obtained from the Elsevier Scopus database. The search query consisted of all publications with the phrase "mobile banking adoption" and "m-banking adoption" in its title, summary or keywords. This search was made on March 6, 2018, yielding 94 documents, including 58 articles, 26 conference papers, 4 reviews, 3 conference reviews, 2 book chapters and 1 article in press, covering the period from 2005 to February 2018. It can be concluded that the subject is in tension, there being a lot of joint publication, the publications of multiple authors represent approximately three-quarters of all publications, the Asian and European continents lead the number of publications being India and Finland the main countries

    What Influencing Consumers To Resist Using Mobile Banking

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    This study employed the theory of innovation resistance as a research basis to investigate main factors that influence individuals to resist using mobile banking. Compared to that numerous researches used innovation adoption theories to investigate what affects individuals to adopt mobile banking over the past ten years, this empirical study could advance current knowledge on the non-adoption of mobile banking. Besides, from innovation resistance perspectives to explore the mobile banking adoption and non-adoption, this study could provide banks valuable clues to develop elaborate and differentiated service, marketing, and business strategies in the mobile banking context

    Past, Present and Future of M-Banking Research: A Literature Review

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    Frontier Capital: Early Stage Investing for Financial Returns and Social Impact in Emerging Markets

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    This report outlines the importance and promise of serving low- and lower-middle-income (LMI) populations -- essentially, the groups situated between the very bottom of the pyramid and the existing middle class. As we detail herein, LMI populations have huge unmet needs and face quite a bit of instability -- challenges that can be addressed by innovative business models. We believe companies serving this demographic represent an under-tapped opportunity, both for financial returns and for outsized impact. The LMI segment represents a major market opportunity. For example, in Latin America and the Caribbean, the purchasing power of the LMI population is estimated at 405B.InSouthAsia,itisestimatedat405B. In South Asia, it is estimated at 483B

    Identificiranje relevantnih segmenata potencijalnih korisnika chatbota u bankarstvu na temelju ponašanja pri prihvaćanju tehnologije

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    Purpose – Chatbot technology is expected to revolutionize customer service in financial institutions. However, the adoption of customer service chatbots in banking remains low. Therefore, the aim of this paper is to identify relevant segments of potential banking chatbot users based on technology adoption behavior. Design/Methodology/Approach – Data for the research was collected through an online questionnaire in Romania using the non-probability sampling method. The 287 questionnaires were analyzed using hierarchical and k-means cluster analysis. Findings and implications – The analysis revealed three distinct segments: Innovators (26%), consisting of highly educated young women employed in the business sector; the Late Majority (55%), consisting of young women with higher education degrees who work in services-related fields; and Laggards (19%), consisting of educated middle-aged men employed in the business sector. New significant differences among demographic and banking behavior variables were observed across the profiles of potential banking chatbot user segments. Limitations – The study is based on a non-probability sample collected from only one country, with a rather small sample size. Originality – Technology acceptance variables (perceived usefulness, perceived ease of use), expanded to include constructs such as awareness of service, perceived privacy risk, and perceived compatibility, were found to be appropriate for customer segmentation purposes in the context of chatbot applications based on artificial intelligence. The study also revealed a new innovator demographic profile.Svrha – Očekuje se da će chatbot tehnologija revolucionirati usluge korisnicima u financijskim institucijama. Međutim prihvaćenost chatbota među korisnicima usluga banaka još je uvijek niska. Stoga je cilj ovog rada identificirati relevantne segmente potencijalnih korisnika bankovnih chatbotova na temelju ponašanja pri usvajanju tehnologije. Metodološki pristup – Podatci su prikupljeni u Rumunjskoj ne temelju neprobabilističke metode uzorkovanja putem online anketnog upitnika. Analizirano je 287 anketnih upitnika primjenom hijerarhijske i k-mean klasterske analize. Rezultati i implikacije – Analizom su otkrivena tri različita segmenta: Inovatori (26%) koji su visokoobrazovani, mlade žene zaposlene u području poslovne ekonomije; Kasna većina (55%) koju čine mlađe žene s višom stručnom spremom zaposlene u područjima povezanim s uslugama; Kolebljivci (19%) koji su obrazovani, muškarci srednjih godina zaposleni u području poslovne ekonomije. Otkrivene su nove značajne razlike među profilima segmenata potencijalnih korisnika chatbota u bankarstvu vezane uz demografske te varijable ponašanja korisnika usluga u bankarstvu. Ograničenja – Istraživanje se temelji na nepobabilističkom uzorku prikupljenom u samo jednoj zemlji, a veličina uzorka je prilično mala. Doprinos – Utvrđeno je da su varijable prihvaćanja tehnologije (percipirana korisnost, percipirana jednostavnost korištenja) proširene s konstruktima kao što su svjesnost o usluzi, percipirani rizik privatnosti i percipirana kompatibilnost, prikladne za potrebe segmentacije korisnika u kontekstu chatbot aplikacija temeljenih na umjetnoj inteligenciji. Istraživanje je otkrilo novi demografski profil inovatora

    A machine learning approach to the digitalization of bank customers: evidence from random and causal forests

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    Understanding the digital jump of bank customers is key to design strategies to bring on board and keep online users, as well as to explain the increasing competition from new providers of financial services (such as BigTech and FinTech). This paper employs a machine learning approach to examine the digitalization process of bank customers using a comprehensive consumer finance survey. By employing a set of algorithms (random forests, conditional inference trees and causal forests) this paper identities the features predicting bank customers’ digitalization process, illustrates the sequence of consumers’ decision-making actions and explores the existence of causal relationships in the digitalization process. Random forests are found to provide the highest performance–they accurately predict 88.41% of bank customers’ online banking adoption and usage decisions. We find that the adoption of digital banking services begins with information-based services (e.g., checking account balance), conditional on the awareness of the range of online services by customers, and then is followed by transactional services (e.g., online/mobile money transfer). The diversification of the use of online channels is explained by the consciousness about the range of services available and the safety perception. A certain degree of complementarity between bank and non-bank digital channels is also found. The treatment effect estimations of the causal forest algorithms confirm causality of the identified explanatory factors. These results suggest that banks should address the digital transformation of their customers by segmenting them according to their revealed preferences and offering them personalized digital services. Additionally, policymakers should promote financial digitalization, designing policies oriented towards making consumers aware of the range of online services available.FUNCAS Foundation PGC2018 - 099415 - B - 100 MICINN/FEDER/UEJunta de Andalucia P18RT-3571 P12.SEJ.246

    Internet banking: segmenting elderly by latent class cluster

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    The present study aims to explain the Internet banking use in the elderly capturing the heterogeneity according to socio-demographic and psychological variables. A sample of 415 individuals older than 55 years has been analyzed using the latent class cluster model. The results show that there are three clusters with different levels of Internet banking use. Sex, level of education, cognitive age, self-efficacy and anxiety act as significant covariates
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