Mobile nudging: Youth engagement with banking apps

Mobile-banking (m-banking) is of particular interest to banks seeking to sustain their market share because of m-banking’s role attracting and retaining customers, especially young ones. This article reports on a study that applies concepts from behavioural economics (BE) and ‘nudging’ with the objective of promoting young people’s ongoing engagement with m-banking applications (that is, software designed to run on mobile devices, or m-banking ‘apps’ in common parlance). Insights and ideas for new features or refinements for m-banking apps were generated from discussions with a large class of senior marketing students, and then presented to m-banking managers and app designers to refine and to select two features for each of five constructs from BE: loss aversion, power of now, scarcity value, chunking and choice architecture. The relative desirability of these 10 m-banking features was investigated via a survey involving a pairwise-ranking exercise that was completed by 257 young m-banking consumers. Overall, the research reveals that m-banking app design can benefit from fundamentally different approaches (relative to traditional methodologies) that prioritise intuitive interfaces over non-intuitive-based designs, and, in particular, that BE and nudging can supply valuable insights and ideas for new features or refinements.     

Exploring usage of mobile banking apps in the UAE: a categorical regression analysis

The banking sector has seen major changes with advances in technology. Electronic financial transactions are gradually taking over traditional banking services in terms of transferring funds, utility payments, insurance premium, mortgages and even stock trading. Despite the widespread popularity of smartphones and the advantages of mobile banking, the adoption rates of the mobile apps have been very low all over the world. Our study explored the consumer acceptance of mobile apps in the United Arab Emirates (UAE) by using a structured online questionnaire that was designed using standard variables from the Technology Acceptance Model. Principal component analysis was used to identify and score these factors for the subsequent categorical regression analysis. Consumers were assigned numerical categories depending on their level of usage of the app, and the CATREG nonlinear technique was used to determine the significance of technology acceptance factors. The results show that almost two-thirds of the sample were currently using Mobile Banking apps, and they predominantly belonged to the 30–40 age-group. Perceived usefulness and available information were identified as the main factors influencing acceptance and level of usage of mobile banking apps. This study makes a significant contribution to the existing literature by identifying consumers according to their level of usage and adopting the categorical regression model, which has not been attempted earlier. The results provide important insights for banking professionals in the UAE, in terms of marketing initiatives, information technology and customer service.

     

Mobile banking: A powerful new marketing and CRM tool for financial services companies all over Europe

In the last decade mobile handsets have become ubiquitous. There are three times as many mobile phone users as online PCs and they are becoming very sophisticated and demanding users. Increasingly they will expect real-time information and access 24 hours a day, seven days a week, wherever they are in the world — and they want very high levels of service. This paper looks at how and why financial organisations across Europe are beginning to take advantage of mobile services and in particular mobile banking as a powerful new marketing tool to build long-lasting and mutually rewarding relationships with new and existing customers. Examples show how European financial organisations are using mobile banking to improve their customer service and relationships, to reinforce their brand by literally placing it in their customer's pocket and to reduce their costs.     

How the Citi Olympic sponsorship strategy uses the knowledge of the elaboration likelihood model

The Elaboration Likelihood Model (ELM) explains that the individual involvement in a product category will motivate a person to evaluate brand messages in that product category more critically. This article claims that sponsorship is the ideal promotional communication method to apply the ELM principles. Sponsors should be using the knowledge of the ELM that explains how consumers evaluate messages when developing their activation programs and television commercials. The article provides an example how Citi has developed its Olympic activation program and television commercials to appeal to both high and low involvement product category customers. Citi promoted its mobile app and the Citi Thank You Visa card brand features to try to appeal to high involvement product category consumers, while promoting its Olympic brand association and its corporate social responsibility ‘Every Step of the Way’ initiative to try to appeal to low involvement product category consumers.     

Fintech in the time of COVID−19: Technological adoption during crises

We document the effects of the COVID−19 pandemic on digital finance and fintech adoption. Drawing on mobile application data from a globally representative sample, we find that the spread of COVID− 19 and related government lockdowns led to a sizeable increase in the rate of finance app downloads. We then analyze factors that may have driven this effect on the demand−side and better understand the “winners” from this digital acceleration on the supply−side. Our overall results suggest that traditional incumbents saw the largest growth in their digital offerings during the initial period, but that “BigTech” companies and newer fintech providers ultimately outperformed them over time. Finally, we drill−down further on the adoption of fintech apps pertaining to both the asset and liability side of the traditional bank balance sheet, to explore the implications that the accelerated trends in digitization may have for the future landscape of financial intermediation.     

A Housing Price Model with Endogenous Externality Location: A Study of Mobile Home Parks

This research explores the impact of mobile home parks on the value of single-family homes. This is the first study that empirically analyzes the effect of mobile home parks on property values. The empirical methodology used attempts to address the potential identification problem that exists within this study; it is possible that mobile home parks are located in areas of relatively lower land values or next to other land uses that impact property values. To address this identification problem, mobile home park locations are treated as endogenous within the model and the mobile home parks are identified as being located in residential or non-residential areas. The results suggest a negative effect on the selling price of single-family dwellings in close proximity to mobile home parks located in residential areas.     

Improving performance of corporate rating prediction models by reducing financial ratio heterogeneity

We introduce a new approach to improve the performance of rating prediction models for multinational corporations. In this segment, the low number of defaults poses a challenge, as it prevents rating models to be constructed for individual industry sectors or regions. We show that reducing group-level heterogeneity in financial ratios results in a rating prediction model with better performance than both unadjusted models and models adjusted by including industry dummies or other simpler procedures. Our approach fills a gap in cases where a limited dataset does not permit the construction of separate models for individual industries or regions.     

地理位置服务山寨还是创新

2009年3月Foursquare在美国上线,用了不到半年的时间就吸引了百万级用户,并且以每天上万用户递增。不久,众多COPY者便追随而至。不过,对于地理位置服务的鼻祖Foursquare及其众多追随者来说,这场竞争究竟是一场COPY秀还是创新秀,还不得而知。     

美国房地产周期与经济衰退的可预测性研究

本文对房地产周期与收益率曲线反转对经济衰退的预测两个变量的联合预测进行了理论探讨和实证检验。实证结果表明,房地产周期和收益率曲线反转的联合预测力远大于单变量预测力。将本文实证结果应用于2006年以来经济数据的分析表明,从预测角度看美国经济将在2007-2008年间进入衰退。     

Competing on analytics

We all know the power of the killer app. It's not just a support tool; it's a strategic weapon. Companies questing for killer apps generally focus all their firepower on the one area that promises to create the greatest competitive advantage. But a new breed of organization has upped the stakes: Amazon, Harrah's, Capital One, and the Boston Red Sox have all dominated their fields by deploying industrial-strength analytics across a wide variety of activities. At a time when firms in many industries offer similar products and use comparable technologies, business processes are among the few remaining points of differentiation--and analytics competitors wring every last drop of value from those processes. Employees hired for their expertise with numbers or trained to recognize their importance are armed with the best evidence and the best quantitative tools. As a result, they make the best decisions. In companies that compete on analytics, senior executives make it clear--from the top down--that analytics is central to strategy. Such organizations launch multiple initiatives involving complex data and statistical analysis, and quantitative activity is managed atthe enterprise (not departmental) level. In this article, professor Thomas H. Davenport lays out the characteristics and practices of these statistical masters and describes some of the very substantial changes other companies must undergo in order to compete on quantitative turf. As one would expect, the transformation requires a significant investment in technology, the accumulation of massive stores of data, and the formulation of company-wide strategies for managing the data. But, at least as important, it also requires executives' vocal, unswerving commitment and willingness to change the way employees think, work, and are treated.     

Heterogeneous expectations and the demand for money and financial assets in an exchange economy

An unresolved problem is to explain adequately the role of money as an alternative to barter in a dynamic exchange economy. In particular, liquidity preference explanations fail to motivate, or to identify explicitly the productive ‘services’ of money. In this paper, information about exchange opportunities is assumed to be imperfect and unevenly distributed. Money is shown to have ‘peculiar’ properties which make it an asset of wide-spread social value. Thus, this paper blends the imperfect information approach of Brunner and Meltzer (1972) with the explicit analysis of liquidity preference of Tobin (1958).     

Fear and anger: antecedents and consequences of emotional responses to mobile communication

Many people fear that exposure to mobile phone base stations leads to severe health effects. In addition to those fears, many citizens are unsatisfied or even angry about prevailing base station site-selection procedures. In the present study, it was investigated how these emotions, i.e. fear and anger, determine risk and benefit perceptions and the acceptance of mobile communication. Using structural equation modeling, we found that benefit perception and the acceptance of mobile phone base stations were primarily determined by anger. Risk perception, in contrast was influenced by both emotions. In addition, controllability and fairness emerged as important cognitive appraisals, or antecedents, of fear and anger, while certainty was not related to these emotions. In sum, our findings highlight that fear and anger have specific influences on risk, benefit, and acceptance of mobile communication. Furthermore, the study provides an in-depth understanding of the antecedents that lead to emotional responses within the context of mobile communication. Implications for risk communication will be derived.     

The Slow Adjustment of Aggregate Consumption to Permanent Income

This paper investigates the relationship between aggregate consumption and permanent income using a new approach to the estimation of cointegrated systems that builds on Stock and Watson's common stochastic trends representation. The permanent and transitory movements in aggregate income and consumption are estimated directly using the Kalman filter and are allowed to be correlated. This approach avoids any implicit restriction that permanent income be as smooth as consumption. Instead, permanent income appears to be relatively volatile, with consumption adjusting toward it only slowly over time. These results provide a clear rejection of the standard version of the permanent income hypothesis and are suggestive of alternative theories of consumption behavior such as habit formation or precautionary savings.     

Customer readiness to co-production of mobile banking services: a customer-only co-production perspective

This paper aimed to identify the antecedents and corollary of customer readiness for co-production in customer-only co-production services using mobile banking services as a context. Using a structured questionnaire, data were gathered from a sample of mobile banking customers in Ghana and the UK and the data analysis was facilitated by structural equation modelling. From the findings, the antecedents were customer socialisation, customer self-efficacy and customer motivation and the corollary was service productivity. The findings provide managers of customer-only co-production or technology-based services particularly mobile banking services with the specific factors that can be managed strategically and tactically to enhance customer readiness for co-production and service productivity. This study is one of a kind to conceptualise and empirically identify the antecedents and corollary of customer readiness for co-production within the customer-only co-production context. However, as the study was limited to mobile banking services, future studies might test the research model in other customer-only technology-based services.

     

Citizens’ adaptive or avoiding behavioral response to an emergency message on their mobile phone

Abstract

Since November 2012, Dutch civil defense organizations employ NL-Alert, a cellular broadcast-based warning system to inform the public. Individuals receive a message on their mobile phone about the actual threat, as well as some advice how to deal with the situation at hand. This study reports on the behavioral effects of NL-Alert (n = 643). The current risk communication literature suggested underlying mechanisms as perceived threat, efficacy beliefs, social norms, information sufficiency, and perceived message quality. Results indicate that adaptive behavior and behavioral avoidance can be predicted by subsets of these determinants. Affective and social predictors appear to be more important in this context that socio-cognitive predictors. Implications for the use of cellular broadcast systems like NL-Alert as a warning tool in emergency situations are discussed.     

Optimal tax policy when firms are internationally mobile

The standard tax theory result that investment should not be distorted is based on the assumption that profits are locally bound. In this paper, we analyze the optimal tax policy in a model where firms are internationally mobile. We show that the optimal policy response to increasing firm mobility may be taxation, subsidization, or non-distortion of the marginal investment, depending on whether the mobile firms are more or less profitable than the average firm in the economy. Our findings may contribute to understanding recent tax policy developments in many OECD countries.     

Governance of flexible mobile service platforms

Development of advanced mobile Internet services requires flexible service platforms. Every service offering needs generic functionalities like security, billing and customer data management. Such functionalities used to be integrated in the mobile network infrastructure but are now offered by competing service platforms. Future service platforms might be offered by operators but can also be embedded in the mobile phone or at the systems of the service providers. Studying flexibility of service platforms requires technological as well as strategic analysis, and should take into account the perspective of multiple stakeholders. Where to locate service platforms is not just a technological matter as it greatly influences flexibility of both service providers and end-users. This paper analyzes how various service platform technologies that are located at operators, mobile phone and service providers influence flexibility. We find that no single service platform offers superior flexibility to both service providers and end-users.     

Is Targeted Tax Competition Less Harmful than its Remedies?

Some governments have recently called for international accords restricting the use of preferential taxes targeted to attract mobile tax bases from abroad. Are such agreements likely to discourage tax competition or conversely cause it to spread? We study a general model of competition for multiple tax bases and establish conditions for a restriction on preferential regimes to increase or decrease tax revenues. Our results show that restrictions are most likely to be desirable when tax bases are on average highly responsive to a coordinated increase in tax rates by all governments, and when tax bases with large domestic elasticities are also more mobile internationally. Our analysis allows us to reconcile the apparently contradictory results of the previous literature.     

Tax Competition, Income Differentials and Local Public Services

This paper examines strategic tax setting between fiscal authorities in the presence of mobile workers who locate across these jurisdictions in response to differing tax structures and congestable local public amenities. We find that the nature of the tax setting outcomes depend crucially on the proximity between cities. For distant cities with the same size populations, the pressure on tax rates of a more mobile workforce depends on the whether mobile workers are net beneficiaries or net contributors. If mobile workers are either high or low income earners, cities lower tax rates. If mobile workers are middle income earners, cities raise tax rates. For close or neighbouring cities, workers locate in one of the cities and tax rates and local public amenities are dispersed.