nep-pay New Economics Papers
on Payment Systems and Financial Technology
Issue of 2023‒08‒28
25 papers chosen by

  1. Behavioral drivers of cashless payments in Africa By Batiz-Lazo, Bernardo; Maixe-Altes, J Carles; Peon, David
  2. Digital platforms and digital transformation By Schilirò, Daniele
  3. Tokenization: A Potential Pathway for Bitcoin’s Future By Georgii Zvonka
  4. Unmet Payment Needs and a Central Bank Digital Currency By Christopher Henry; Walter Engert; Alexandra Sutton-Lalani; Sebastian Hernandez; Darcey McVanel; Kim Huynh
  5. Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin Blockchain By Rafael Ramos Tubino; Remy Cazabet; Natkamon Tovanich; Celine Robardet
  6. Do You Even Crypto, Bro? Cryptocurrencies in Household Finance By Weber, Michael; Candia, Bernardo; Coibion, Olivier; Gorodnichenko, Yuriy
  7. Digital Tokens: A Legal Perspective By Mr. José M. Garrido
  8. Studying the influence of e-personalisation on the online experience of consumers with disabilities: Ease of use as a source of pleasure By Maud Dampérat; Eline Jongmans; Florence Jeannot; Tanguy Giuffrida
  9. Challenges with Age Verification of Minors in the Digital Economy By Isha Suri
  10. Good vs. Bad Volatility: The Dichotomy and Drivers of Connectedness in Major Cryptocurrencies By Jan Sila; Evzen Kocenda; Ladislav Kristoufek; Jiri Kukacka
  11. Multi-Factor Inception: What to Do with All of These Features? By Tom Liu; Stefan Zohren
  12. From Streets to Screens: Utilizing Social Media to Transform Sales and Reach for Women Shuttle Traders in the "Informal Economy" By Zhansaule Kimel
  13. Raise your voice! Activism and peer effects in online social networks By Alejandra Agustina Martínez
  14. Exploring the Bitcoin Mesoscale By Nicol\`o Vallarano; Tiziano Squartini; Claudio J. Tessone
  15. Digitalization and Gender Equality in Political Leadership in Sub-Saharan Africa By Diego B. P. Gomes; Carine Meyimdjui
  16. Dollar Rivals By Jeffrey A. Frankel
  17. Debunking “Fake News” on Social Media: Short-Term and Longer-Term Effects of Fact Checking and Media Literacy Interventions By Lara Marie Berger; Anna Kerkhof; Felix Mindl; Johannes Münster
  18. Fast but multi-partisan: Bursts of communication increase opinion diversity in the temporal Deffuant model By Fatemeh Zarei; Yerali Gandica; Luis Enrique Correa Rocha
  19. Effects of E-commerce on Local Labor Markets By Bauer, Anahid; Fernández Guerrico, Sofía
  20. Dynamic Large Language Models on Blockchains By Yuanhao Gong
  21. The application of innovation adoption in the Moroccan banking context: literature review and design of a research model By Ghita Hidare
  22. Selection-Neglect in the NFT Bubble By Dong Huang; William N. Goetzmann
  24. Effects of social media addiction on daily work performance of government employees By Sulasula, Josephine
  25. Building an Inclusive Digital Society for Rural India By Mansi Kedia; Rajat Kathuria; Abhishek Raj; Richa Sekhani; Srishti Sinha

  1. By: Batiz-Lazo, Bernardo; Maixe-Altes, J Carles; Peon, David
    Abstract: We explore the potential of different behavioral drivers for people to use cash when presented with digital payment alternatives in retail transactions. Behavioral finance traits in our study include the otherwise neglected emotional drivers. We conducted an online survey targeting university educated adults in sub-Saharan African countries, a continent characterized by lower levels of banking penetration, intensive use of cash, and increased popularity of mobile money accounts to reduce financial exclusion. We obtain robust evidence that the affect heuristic is the only relevant behavioral trait determining the use of cash and of payments with credit cards, while there is no evidence of behavioral drivers influencing the overall decision to use of electronic payments. However, in specific payment contexts cognitive traits, such as mental accounting, fungibility bias, and habit, do mediate in determining the choice of payment method. We found robust evidence that a higher value of our personal income proxy is associated with a reduction in the intention to use electronic payments. All results are robust to alternative econometric specifications: multinomial logistic, ordered logistic, and logit regressions. Our research provides a clear policy message, namely for authorities to promote a variety of payment alternatives, including cash, and ensure they are available in retail transactions.
    Keywords: FinTech, Cash, Digital Payments, Behavioral Finance (Affect Heuristic), Africa (Ghana, Kenya, Nigeria, South Africa).
    JEL: E4 E5 G1 G2 L8 O3
    Date: 2023–07
  2. By: Schilirò, Daniele
    Abstract: The paper focuses on two crucial aspects of the digital economy: digital platforms and digital transformation. These two topics play a significant role in shaping the modern business landscape and have implications across various industries. Digital platforms, along with the related digital platform economy, and digital transformation lead to innovative business models and strategies that capitalize on the vast potential of the digital economy. However, the paper points out that digital transformation is not just about technology; it's also about people, processes, and culture.
    Keywords: digital platforms; digital platform economy; digital transformation; disruptive digital technologies; digital innovation
    JEL: M13 M20 O30 O39
    Date: 2023–07
  3. By: Georgii Zvonka (University of Lausanne; Swiss Finance Institute)
    Abstract: Tokenization is a process that may cause a transition to new monetary standards in a world of decentralized money. The possibility of tokenization explains why Bitcoin may have a high value today under expectations that the gradual decline in the mining reward will reduce security, as explained by Auer (2019). The paper introduces tokenization as a way to upgrade Bitcoin and discusses how the possibility of tokenization can affect the value of the first cryptocurrency. Tokenization may be deferred because of the balance between the network effect and congestion in the usage of Bitcoin’s blockchain against those for the new monetary standard. As security of Bitcoin declines, this balance shifts in favour of the new monetary standard. The new monetarist model predicts zero price of Bitcoin in the view of declining security and absence of the option for tokenization. Enabling agents to use tokenized version of Bitcoin instead of Bitcoin itself allows for an equilibrium in which the price of Bitcoin increases with time as the new monetary standard is adopted more widely.
    Keywords: Bitcoin, tokenization, monetary standards, monetary economics, diffusion processes
    JEL: E42 O33
    Date: 2023–06
  4. By: Christopher Henry; Walter Engert; Alexandra Sutton-Lalani; Sebastian Hernandez; Darcey McVanel; Kim Huynh
    Abstract: We discuss the payment habits of Canadians both in the current payment environment and in a hypothetical cashless environment. We also consider whether a central bank digital currency (CBDC) would address unmet payment needs in a cashless society. Most adult Canadians do not experience gaps in their access to a range of payment methods, and this would probably continue to be the case in a cashless environment. Some people could, however, face difficulties making payments if merchants no longer generally accepted cash as a method of payment. For a payment-oriented CBDC to successfully address unmet payment needs, the main consumer groups—who already have access to a range of payment options—would have to widely adopt the CBDC and use it at scale. This is necessary to encourage widespread merchant acceptance of CBDC, which would, in turn, encourage further consumer adoption and use. However, most consumers face few payment gaps or frictions and therefore might have relatively weak incentives to adopt and—especially—to use CBDC at scale. If that were the case, widespread merchant acceptance also would be unlikely. This suggests that addressing unmet payment needs for a minority of consumers by issuing a CBDC could be challenging under the conditions explored in this paper. The minority of consumers with unmet payment needs will only be able to benefit from a CBDC if the majority of consumers experience material benefits and therefore drive its use.
    Keywords: Bank notes; Central bank research; Digital currencies and fintech; Financial services
    JEL: C C9 E E4 O O54
    Date: 2023–08
  5. By: Rafael Ramos Tubino; Remy Cazabet; Natkamon Tovanich; Celine Robardet
    Abstract: We study the real economic activity in the Bitcoin blockchain that involves transactions from/to retail users rather than between organizations such as marketplaces, exchanges, or other services. We first introduce a heuristic method to classify Bitcoin players into three main categories: Frequent Receivers (FR), Neighbors of FR, and Others. We show that most real transactions involve Frequent Receivers, representing a small fraction of the total value exchanged according to the blockchain, but a significant fraction of all payments, raising concerns about the centralization of the Bitcoin ecosystem. We also conduct a weekly pattern analysis of activity, providing insights into the geographical location of Bitcoin users and allowing us to quantify the bias of a well-known dataset for actor identification.
    Date: 2023–07
  6. By: Weber, Michael (University of Chicago); Candia, Bernardo (University of California, Berkeley); Coibion, Olivier (University of Texas at Austin); Gorodnichenko, Yuriy (University of California, Berkeley)
    Abstract: Using repeated large-scale surveys of U.S. households, we study the cryptocurrency investment decisions and motives of households relative to other financial assets. Cryptocurrency holders tend to be young, white, male and more libertarian relative to non-crypto holders. They expect much higher rates of returns for crypto and perceive it as relatively safer than do other households. They also view it as a better hedge against inflation. For those holding cryptocurrencies, changes in Bitcoin prices translate into their purchases of durable goods. Finally, exogenously-provided information about historical returns of cryptocurrencies leads individuals to increase their desired crypto holdings and makes them more likely to actually purchase cryptocurrency subsequently. We compare these views and behaviors to those of households toward other financial assets and argue that cryptocurrency is unique in many of these respects.
    Keywords: cryptocurrency, household finance, surveys
    JEL: E4 G5 D8
    Date: 2023–07
  7. By: Mr. José M. Garrido
    Abstract: Tokens are units digitally represented in a distributed ledger or blockchain. The various uses of this technology have the potential to transform a wide array of economic activities, from traditional commercial transactions to sophisticated financial undertakings. This paper explores the similarities and differences of tokens with traditional legal instruments in commercial law and how tokens could offer superior solutions, provided that proper legal foundations are established for their operation, including aspects of the law of securities and consumer protection law.
    Keywords: Tokens; Commercial Law; Securities Law; Fintech; Consumer Protection
    Date: 2023–07–28
  8. By: Maud Dampérat (UL2 - Université Lumière - Lyon 2, COACTIS - COnception de l'ACTIon en Situation - UL2 - Université Lumière - Lyon 2 - UJM - Université Jean Monnet - Saint-Étienne); Eline Jongmans (CERAG - Centre d'études et de recherches appliquées à la gestion - UGA - Université Grenoble Alpes, UGA - Université Grenoble Alpes); Florence Jeannot (CERAG - Centre d'études et de recherches appliquées à la gestion - UGA - Université Grenoble Alpes, INSEEC - Institut des hautes études économiques et commerciales | School of Business and Economics); Tanguy Giuffrida (LIG - Laboratoire d'Informatique de Grenoble - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes, IIHM - Ingénierie de l’Interaction Homme-Machine - LIG - Laboratoire d'Informatique de Grenoble - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)
    Abstract: This research studies the online consumer experience and, more specifically, the role of design e-personalisation of e-commerce websites adapted to the needs of consumers with disabilities (perceptual, cognitive or physical). It examines the roles of ease of use and pleasure of use as explanatory mechanisms for the effects of design e-personalisation on e-commerce website reuse and positive word-of-mouth intentions. We propose an online consumer experience model based on perceived design e-personalisation and test it empirically with structural equations on a sample of 117 participants from a panel of French Internet users who are more than 55 years old and have disabilities. The results highlight a serial double mediation of design e-personalisation on reuse and word-of-mouth intentions via ease of use and pleasure of use.
    Keywords: e-personalization, online consumer experience, pleasure of use, ease of use, customers with disabilities
    Date: 2022–09
  9. By: Isha Suri (Indian Council for Research on International Economic Relations (ICRIER))
    Abstract: Undoubtedly, the digital economy provides children with ample opportunities for growth and self-development. However, it also makes them more vulnerable to harm in the online as well as the offline world.12 With younger people going online with minimal adult supervision, children are at a higher risk of falling prey to dangers in the online space and making unfortunate choices without fully comprehending the consequences of their actions. Some of these risks include exposure to inappropriate content such as sexual, pornographic and violent images. Websites containing information related to dangerous behaviours such as self-harm, suicide and anorexia, or suffering reputational damage at the hands of cyber bullies or responding to unsafe contact from an adult such as online solicitation or grooming are other examples of potential risks. Constant digital connectivity has made children more accessible to predators through unprotected social media profiles and online game forums, making children even more vulnerable than before. this paper, an attempt has been made to discuss the legal frameworks and age verification requirements in various jurisdictions protecting minors in the digital economy. Thereafter, the requirements proposed in India's Personal Data Protection Bill 2018 will be discussed. This is followed by a section on various age-verification methods currently in place in various parts of the world and its associated implementation challenges. The paper concludes with a snapshot of sectoral variation and recommendations for further policy thinking on this subject.
    Keywords: data protection bill, verification, minor data access, digital economy, icrier
  10. By: Jan Sila (Charles University, Faculty of Social Sciences, Institute of Economic Studies, Prague, Czechia & Czech Academy of Sciences, Institute of Information Theory and Automation, Prague, Czechia); Evzen Kocenda (Charles University, Faculty of Social Sciences, Institute of Economic Studies, Prague, Czechia & Czech Academy of Sciences, Institute of Information Theory and Automation, Prague, Czechia); Ladislav Kristoufek (Charles University, Faculty of Social Sciences, Institute of Economic Studies, Prague, Czechia & Czech Academy of Sciences, Institute of Information Theory and Automation, Prague, Czechia); Jiri Kukacka (Charles University, Faculty of Social Sciences, Institute of Economic Studies, Prague, Czechia & Czech Academy of Sciences, Institute of Information Theory and Automation, Prague, Czechia)
    Abstract: Cryptocurrencies exhibit unique statistical and dynamic properties compared to those of traditional financial assets, making the study of their volatility crucial for portfolio managers and traders. We investigate the volatility connectedness dynamics of a representative set of eight major crypto assets. Methodologically, we decompose the measured volatility into positive and negative components and employ the time-varying parameters vector autoregression (TVP-VAR) framework to show distinct dynamics associated with market booms and downturns. The results suggest that crypto connectedness reflects important events and exhibits more variable and cyclical dynamics than those of traditional financial markets. Periods of extremely high or low connectedness are clearly linked to specific events in the crypto market and macroeconomic or monetary history. Furthermore, existing asymmetry from good and bad volatility indicates that information about market downturns spills over substantially faster than news about comparable market surges. Overall, the connectedness dynamics are predominantly driven by fundamental crypto factors, while the asymmetry measure also depends on macro factors such as the VIX index and the expected inflation.
    Keywords: Volatility, Dynamic connectedness, Asymmetric effects, Cryptocurrency
    JEL: C58 G10 C36
    Date: 2023–07
  11. By: Tom Liu; Stefan Zohren
    Abstract: Cryptocurrency trading represents a nascent field of research, with growing adoption in industry. Aided by its decentralised nature, many metrics describing cryptocurrencies are accessible with a simple Google search and update frequently, usually at least on a daily basis. This presents a promising opportunity for data-driven systematic trading research, where limited historical data can be augmented with additional features, such as hashrate or Google Trends. However, one question naturally arises: how to effectively select and process these features? In this paper, we introduce Multi-Factor Inception Networks (MFIN), an end-to-end framework for systematic trading with multiple assets and factors. MFINs extend Deep Inception Networks (DIN) to operate in a multi-factor context. Similar to DINs, MFIN models automatically learn features from returns data and output position sizes that optimise portfolio Sharpe ratio. Compared to a range of rule-based momentum and reversion strategies, MFINs learn an uncorrelated, higher-Sharpe strategy that is not captured by traditional, hand-crafted factors. In particular, MFIN models continue to achieve consistent returns over the most recent years (2022-2023), where traditional strategies and the wider cryptocurrency market have underperformed.
    Date: 2023–07
  12. By: Zhansaule Kimel
    Date: 2023
  13. By: Alejandra Agustina Martínez
    Abstract: Do peers influence individuals’ involvement in political activism? To provide a quantitative answer, I study Argentina’s abortion rights debate through Twitter - the social media platform. Pro-choice and pro-life activists coexisted online, and the evidence suggests peer groups were not too polarized. I develop a model of strategic interactions in a network - allowing for heterogeneous peer effects. Next, I estimate peer effects and test whether online activism exhibits strategic substitutability or complementarity. I create a novel panel dataset - where links and actions are observable - by combining tweets’ and users’ information. I provide a reduced-form analysis by proposing a network-based instrumental variable. The results indicate strategic complementarity in online activism, both from aligned and opposing peers. Notably, the evidence suggests homophily in the formation of Twitter’s network, but it does not support the hypothesis of an echo-chamber effect.
    Keywords: political activism; Peer effects; Social networks; Social media
    Date: 2023
  14. By: Nicol\`o Vallarano; Tiziano Squartini; Claudio J. Tessone
    Abstract: The open availability of the entire history of the Bitcoin transactions opens up the possibility to study this system at an unprecedented level of detail. This contribution is devoted to the analysis of the mesoscale structural properties of the Bitcoin User Network (BUN), across its entire history (i.e. from 2009 to 2017). What emerges from our analysis is that the BUN is characterized by a core-periphery structure a deeper analysis of which reveals a certain degree of bow-tieness (i.e. the presence of a Strongly-Connected Component, an IN- and an OUT-component together with some tendrils attached to the IN-component). Interestingly, the evolution of the BUN structural organization experiences fluctuations that seem to be correlated with the presence of bubbles, i.e. periods of price surge and decline observed throughout the entire Bitcoin history: our results, thus, further confirm the interplay between structural quantities and price movements observed in previous analyses.
    Date: 2023–07
  15. By: Diego B. P. Gomes; Carine Meyimdjui
    Abstract: We examine the impact of digitalization on people’s perceptions of women as political leaders in 34 Sub-Saharan African countries. We find that being a social media or internet user is linked to a higher likelihood of people supporting gender equality in political leadership. However, the intensive margin of usage does not appear to be significant. Furthermore, women’s perceptions of gender equality in political leadership are more sensitive to internet and social media use than men’s. The paper recommends policies for improving ICT infrastructure and investing in technological education.
    Keywords: gender; political leadership; digitalization; internet; social media; internet user; data detail; social media usage; IMF working paper 23/122; usage indicator; Social networks; Women; Gender inequality; Gender diversity; Sub-Saharan Africa; Africa
    Date: 2023–06–09
  16. By: Jeffrey A. Frankel
    Abstract: Written on the 50th anniversary of floating exchange rates, this paper deals with possible alternatives to a unipolar dollar-based system. It considers (1) measures of international currency use; (2) potential challengers to the dollar; (3) network externalities; and (4) the plausibility of gold and digital currencies, as alternatives to regular currencies. On the one hand, network externalities operate in favor of the status quo: the dollar as the single leading international currency. On the other hand, the danger of abuse of exorbitant privilege – for example, by debasing the currency or repeated use of sanctions – operates in favor of challengers. A good guess is that the dollar will continue to lose market share slowly to others, but will remain in the lead.
    JEL: F33
    Date: 2023–07
  17. By: Lara Marie Berger; Anna Kerkhof; Felix Mindl; Johannes Münster
    Abstract: We conduct a randomized survey experiment to compare the short- and longer-term effects of fact checking to a brief media literacy intervention. We show that the impact of fact checking is limited to the corrected fake news, whereas media literacy helps to distinguish between false and correct information more generally, both immediately and two weeks after the intervention. A plausible mechanism is that media literacy enables participants to critically evaluate social media postings, while fact checking fails to enhance their skills. Our results promote media literacy as an effective tool to fight fake news, that is cheap, scalable, and easy-to-implement.
    Keywords: Covid, Facebook, fact checking, fake news, media literacy, misinformation, nutrition, social media, supplements, survey experiment, vaccine
    JEL: L51 L82 Z18
    Date: 2023
  18. By: Fatemeh Zarei; Yerali Gandica; Luis Enrique Correa Rocha
    Abstract: Human interactions create social networks forming the backbone of societies. Individuals adjust their opinions by exchanging information through social interactions. Two recurrent questions are whether social structures promote opinion polarisation or consensus in societies and whether polarisation can be avoided, particularly on social media. In this paper, we hypothesise that not only network structure but also the timings of social interactions regulate the emergence of opinion clusters. We devise a temporal version of the Deffuant opinion model where pairwise interactions follow temporal patterns and show that burstiness alone is sufficient to refrain from consensus and polarisation by promoting the reinforcement of local opinions. Individuals self-organise into a multi-partisan society due to network clustering, but the diversity of opinion clusters further increases with burstiness, particularly when individuals have low tolerance and prefer to adjust to similar peers. The emergent opinion landscape is well-balanced regarding clusters' size, with a small fraction of individuals converging to extreme opinions. We thus argue that polarisation is more likely to emerge in social media than offline social networks because of the relatively low social clustering observed online. Counter-intuitively, strengthening online social networks by increasing social redundancy may be a venue to reduce polarisation and promote opinion diversity.
    Date: 2023–07
  19. By: Bauer, Anahid (MINES ParisTech); Fernández Guerrico, Sofía (Université Libre de Bruxelles)
    Abstract: This paper studies the effect of e-commerce on local labor markets. We exploit cross-market variation in e-commerce price advantage stemming from the enactment of the Amazon Tax-state-level legislation that mandates state sales taxes collection to out-of-state online retailers. Introducing out-of-state sales taxes lowered employment and reduced wages in transportation and warehousing, industries complementary to e-commerce. Within the in-state retail sector, the decline in brick-and-mortar employment is somewhat offset by an increase in employment in warehouse clubs and supercenters. Our results are consistent with a general equilibrium model in which consumers substitute e-commerce for big-box purchases, crowding out brick-and-mortar retail.
    Keywords: e-commerce, retail, employment, Amazon Tax
    JEL: H71 J2 L81 O33
    Date: 2023–07
  20. By: Yuanhao Gong
    Abstract: Training and deploying the large language models requires a large mount of computational resource because the language models contain billions of parameters and the text has thousands of tokens. Another problem is that the large language models are static. They are fixed after the training process. To tackle these issues, in this paper, we propose to train and deploy the dynamic large language model on blockchains, which have high computation performance and are distributed across a network of computers. A blockchain is a secure, decentralized, and transparent system that allows for the creation of a tamper-proof ledger for transactions without the need for intermediaries. The dynamic large language models can continuously learn from the user input after the training process. Our method provides a new way to develop the large language models and also sheds a light on the next generation artificial intelligence systems.
    Date: 2023–07
  21. By: Ghita Hidare (Université Mohammed 5 RABAT)
    Abstract: Technological change had a major impact on all sectors of activity, including banking, which is considered a pioneer in the adoption of new technologies. Over the past decade, the banking sector has always been at the forefront of technological development.Today, the digitalization of banking services is booming. Moroccan banks are increasingly focusing on technological solutions to deliver a better customer experience to banking customers. Mobile payment, being one of the most recent tools, remains, if not unrecognizable, rarely used, despite the many advantages it offers in terms of convenience, speed and security. The aim of our paper is to determine the factors that can influence this fact, through a presentation of the state of the art, in particular the concept of innovation, being a continuous process that aims to introduce new ideas, technologies, products or services, by relating the different theories and models of its adoption. Our main motivation lies in understanding the banking consumer's behavior towards mobile payment, as much as the modern solution proposed by Moroccan banks. Through this article, and by going through a set of theoretical models of innovation adoption, mobile payment in our case, we will deduce a conceptual model including factors that may possibly influence the use or intention to use the mobile payment tool by banking consumers and thus determine their implications. In future work, the hypotheses deduced will be tested using the structural equation method.
    Abstract: L'évolution technologique a eu un impact majeur sur les différents secteurs d'activité, notamment le secteur bancaire considéré comme pionnier en matière d'adoption des nouvelles technologies. Depuis une décennie, le domaine bancaire a toujours été en avance en matière de développement technologique. De nos jours, la digitalisation des services bancaires est en plein essor. Les banques marocaines se focalisent de plus en plus sur les solutions technologiques pour offrir une meilleure expérience client aux consommateurs bancaires. Le paiement mobile, étant un des outils les plus récents, demeure si ce n'est méconnaissable, peu utilisé, malgré les nombreux avantages qu'il propose en termes de praticité, rapidité et sécurité. L'objectif de notre papier est de déterminer les facteurs pouvant influencer ce fait, à travers une présentation d'un état de l'art, notamment du concept de l'innovation, étant un processus continu qui vise à introduire de nouvelles idées, technologies, produits ou services, en relatant les différentes théories et les différents modèles de son adoption. Notre motivation principale réside dans la compréhension du comportement du consommateur bancaire face au paiement mobile, autant que solution moderne proposée par les banques marocaines. À travers ce présent article, et en passant par un ensemble de modèles théoriques de l'adoption de l'innovation, dans notre cas, le paiement mobile, nous déduirons un modèle conceptuel comportant les facteurs pouvant éventuellement influencer l'utilisation ou l'intention d'utiliser l'outil du paiement mobile par les consommateurs bancaires et ainsi de déterminer leurs implications. Dans un futur travail, les hypothèses déduites seront testées à travers l'utilisation de la méthode des équations structurelles.
    Keywords: Innovation, theories, adoption, bank, innovation, théories, banque
    Date: 2023–06–23
  22. By: Dong Huang; William N. Goetzmann
    Abstract: Using transaction data from a large non-fungible token (NFT) trading platform, this paper examines how the behavioral bias of selection-neglect interacts with extrapolative beliefs, accelerating the boom and delaying the crash in the recent NFT bubble. We show that the price-volume relationship is consistent with extrapolative beliefs about increasing prices which were plausibly triggered by a macroeconomic shock. We test the hypothesis that agents prone to selection-neglect formed even more optimistic beliefs and traded more aggressively than their counterparts during the boom. When liquidity for NFTs declined, observed NFT prices were subject to severe selection bias due in part to seller loss aversion delaying the onset of the crash. Finally, we show that market participants with sophisticated bidding behavior were less subject to selection bias and performed better.
    JEL: G1 G12 G14 G4 G40 G41
    Date: 2023–07
  23. By: Al Said Ahmat (REGARDS - Recherches en Économie Gestion AgroRessources Durabilité Santé- EA 6292 - URCA - Université de Reims Champagne-Ardenne - MSH-URCA - Maison des Sciences Humaines de Champagne-Ardenne - URCA - Université de Reims Champagne-Ardenne)
    Abstract: L'article traite la manière dont les plateformes mobiles banking participent à la transformation de l'économie informelle dans les pays pauvres. L'objectif est de comprendre comment ces plateformes incitent les entrepreneurs informels à s'affilier aux dispositifs transactionnels afin de devenir des entreprises réelles et ainsi créer de la valeur pour leurs entreprises et pour l'économie du pays en général. A partir du cas de l'économie informelle au Tchad, nous montrons comment les petites entreprises se transforment via l'utilisation du mobile banking.
    Keywords: Économie informelle, plateforme mobile banking, entreprise locale., Économie informelle plateforme mobile banking entreprise locale, entreprise locale
    Date: 2023–06–28
  24. By: Sulasula, Josephine
    Abstract: This research study examines the effects of social media addiction on the daily work performance of government employees in the Zamboanga Peninsula Region of the Philippines. Drawing upon the sampled government employees, data were collected through surveys and analyzed using statistical techniques. The study investigates the relationship between social media addiction and work performance. Results indicate a significant negative correlation between social media addiction and work performance among government employees in the region (r = -0.45, p
    Keywords: social media addiction, work performance, government employees, Zamboanga Peninsula Region
    JEL: I0 I1 I10 I18 I19 I2 I23 I3 I30 I31 M0 M00 M1 M10 M12 M54
    Date: 2023–07–17
  25. By: Mansi Kedia (Indian Council for Research on International Economic Relations (ICRIER)); Rajat Kathuria (Indian Council for Research on International Economic Relations (ICRIER)); Abhishek Raj; Richa Sekhani; Srishti Sinha
    Abstract: Digital inclusion implies that individuals and communities can access and adopt technology to improve their socio-economic status. India, like most emerging markets, has benefitted immensely from the diffusion of Information and Communication Technology (ICT) diffusion. In rural areas, communication services can often compensate for other infrastructural deficits, catalysing growth. However, market failures in rural areas, magnified by poor connectivity and lack of digitalization, demand policy intervention. Following customary global practice, the Indian government, has made universal broadband a priority objective.
    Keywords: Digital Inclusion, Rural ICT Skills, Digital Literacy, Case Studues, icrier, BIF
    Date: 2021–11

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