Determinants and Outcomes of Internet Banking Adoption

This paper examines the drivers of adoption of Internet banking and the linkages among adoption drivers and outcomes (product acquisition, service activity, profitability, loyalty). We relate Internet banking adoption to customer demand for banking services, the availability of alternative channels, customers\u27 efficiency in service coproduction (“customer efficiency”), and local Internet banking penetration. We find that customers who have greater transaction demand and higher efficiency, and reside in areas with a greater density of online banking adopters, are faster to adopt online banking after controlling for time, regional, and individual characteristics. Consistent with prior work, we find that customers significantly increase their banking activity, acquire more products, and perform more transactions. These changes in behavior are not associated with short-run increases in customer profitability, but customers who adopt online banking have a lower propensity to leave the bank. Building on these observations we also find that the adoption drivers are linked to the postadoption changes in behavior or profitability. Customers who live in areas with a high branch density or high Internet banking penetration increase their product acquisition and transaction activity more than Internet banking adopters in other regions. Efficient customers and those with high service demand show greater postadoption profitability

The Impact of Cognitive versus Affective Aspects on Consumer Usage of Financial Service Delivery Channels

This paper explores the consumer decision-making process when using service delivery channels. Among service delivery channels, the main focus of the research concerns technology-based delivery channels. Technology continues to change the delivery function of companies and to affect customers’ usage decisions regarding the delivery channels available. Understanding how customers react to the technology-content of channels and decide how to use the delivery channels of the firm is a key asset for achieving profitability and differentiation. This conclusion is particularly valuable as firms address the financial impact of new technology-based channels and their success in transferring low value-added transactions to electronic channels. Despite the development of new technology-based delivery channels, there is limited knowledge about how customers react to, choose and use these channels. The paper addresses this research void by developing a model that describes customers’ attitudes and usage frequency behavior in the context of banking delivery channels. A set of hypotheses concerning affective and cognitive determinants of consumers’ behavior is derived from the model. These hypotheses were generated after extensive research into the fields of services marketing, psychology and innovation theories, together with insights provided by a series of in-depth interviews conducted with bank managers and customers. A questionnaire was mailed to users of the four main bank delivery channels. The findings demonstrate that consumer decision concerning usage frequency differs between delivery channels, and illustrate which factors should be stressed in order to affect this decision.

Factors Influencing People’s Intention to Adopt E-Banking: An Empirical Study of Consumers in Shandong Province, China

E-Banking is growing at an unprecedented rate and has become a truly worldwide phenomenon, offering convenience, flexibility and interactivity for those that can, and know how to access it. This is clearly evidence in China. However, despite such growth and popularity, some users still have reservations about using Information and communication technology (ICT) in their daily banking activities, perhaps due to deep routed cultural factors that cause consumers to question the efficacy of such changes. Through the application of a technology acceptance framework, and empirical evidence from 52 E-Banking user questionnaires and four key market segment interviews, the research explores the factors that influence consumers’ intention to adopt E-Banking in Shandong Province of China. The findings highlight that perceived usefulness and perceived credibility are significant factors which have a positive influence on consumers’ intention to utilise E-Banking, while perceived ease of use and perceived cost are less significant. Unpacking the reasons for resistance to the use of E-Banking highlighted that “difficult to operate”, “unnecessary to use it” and “worry about the security” are key drivers and therefore challenges for the service providers. Based on the results, recommendations are drawn for banks, involving focusing on the significant factors, avoiding weaknesses and optimising strengths of E-Banking and ultimately developing more accurate market positioning strategies to align and manage consumer expectations and maximise potential acceptance

Knowledge-based banking: The bankers’ experience on OKS (Online Knowledge Sharing)

This paper outlines the results from a web-based survey of first time users of a bankers online knowledge sharing. Palmer´s web metrics were used to investigate the effects of key website characteristics on intention to return, satisfaction and self-efficacy. Partial least squares estimation was used to estimate both the measurement and structural parameters in our structural equation model. Statistical significance of the main relationships provided strong empirical support for author conceptual framework

Interaction effects on prediction of children weight at school entry using model averaging

Model selection introduce uncertainty to the model building process, therefore model averaging was introduced as an alternative to overcome the problem of underestimate of standards error in model selection. This research also focused on using selection criteria between Corrected Akaike's Information Criteria (AICC) and Bayesian Information Criteria (BIC) as weight for model averaging when involving interaction effects. Mean squared error of prediction (MSE(P)) was used in order to determine the best model for model averaging. Gateshead Millennium Study (GMS) data on children weight used to illustrate the comparison between AICC and BIC. The results showed that model selection criterion AICC performs better than BIC when there are small sample and large number of parameters included in the model. The presence of interaction variable in the model is not significant compared to the main factor variables due to the lower coefficient value of interaction variables. In conclusion, interaction variables give less information to the model as it coefficient value is lower than main factor

Crime and Social media

Purpose-The study complements the scant macroeconomic literature on the development outcomes of social media by examining the relationship between Facebook penetration and violent crime levels in a cross-section of 148 countries for the year 2012. Design/methodology/approach-The empirical evidence is based on Ordinary Least Squares (OLS), Tobit and Quantile regressions. In order to respond to policy concerns on the limited evidence on the consequences of social media in developing countries, the dataset is disaggregated into regions and income levels. The decomposition by income levels included: low income, lower middle income, upper middle income and high income. The corresponding regions include: Europe and Central Asia, East Asia and the Pacific, Middle East and North Africa, Sub-Saharan Africa and Latin America. Findings-From OLS and Tobit regressions, there is a negative relationship between Facebook penetration and crime. However, Quantile regressions reveal that the established negative relationship is noticeable exclusively in the 90th crime decile. Further, when the dataset is decomposed into regions and income levels, the negative relationship is evident in the Middle East and North Africa (MENA) while a positive relationship is confirmed for sub-Saharan Africa. Policy implications are discussed. Originality/value- Studies on the development outcomes of social media are sparse because of a lack of reliable macroeconomic data on social media. This study primarily complemented three existing studies that have leveraged on a newly available dataset on Facebook

Critical review of the e-loyalty literature: a purchase-centred framework

Over the last few years, the concept of online loyalty has been examined extensively in the literature, and it remains a topic of constant inquiry for both academics and marketing managers. The tremendous development of the Internet for both marketing and e-commerce settings, in conjunction with the growing desire of consumers to purchase online, has promoted two main outcomes: (a) increasing numbers of Business-to-Customer companies running businesses online and (b) the development of a variety of different e-loyalty research models. However, current research lacks a systematic review of the literature that provides a general conceptual framework on e-loyalty, which would help managers to understand their customers better, to take advantage of industry-related factors, and to improve their service quality. The present study is an attempt to critically synthesize results from multiple empirical studies on e-loyalty. Our findings illustrate that 62 instruments for measuring e-loyalty are currently in use, influenced predominantly by Zeithaml et al. (J Marketing. 1996;60(2):31-46) and Oliver (1997; Satisfaction: a behavioral perspective on the consumer. New York: McGraw Hill). Additionally, we propose a new general conceptual framework, which leads to antecedents dividing e-loyalty on the basis of the action of purchase into pre-purchase, during-purchase and after-purchase factors. To conclude, a number of managerial implementations are suggested in order to help marketing managers increase their customers’ e-loyalty by making crucial changes in each purchase stage

Explaining intention to use the Islamic credit card: an extension of the TRA model

Abstract Purpose – The Islamic credit card is a type of banking product offered by Islamic banks. Given the importance to the Islamic credit card to Islamic banks, the study is aimed at identifying the factors determining the Malaysian bank customers’ behavioral intention to use the Islamic credit card. Design/methodology/approach – Drawing upon the Theory of Reasoned Action (the TRA model), this study proposes a modified model to examine the acceptance factors of attitude, subjective norm and perceived financial cost within the Islamic credit card context. The study used multiple regression model in order to examine the impacts of these explanatory variables on the intention to use the Islamic credit card. The model is tested using survey data from 257 respondents. Findings – The results reveal that attitude, subjective norm and perceived financial cost significantly influence the Islamic credit card intention to use. Of these, attitude was first ranked factor explaining intention to use the Islamic credit card. Research limitations/implications – The research suffers from two limitations. The first limitation is related to the generalization of finding whilst the second limitation is related to the limited measures employed in the current work. Despite these limitations, this research is significantly contributed to the body of knowledge in the area of Islamic credit card, at least at exploratory level. Practical implications – Information gathered from the study will serve as a basis for more future works in the area of Islamic credit card. The theory developed in the current study’s model could also be generalized into other contexts of Islamic banking products and services. Practically, branch managers of Islamic banking institutions could of prime importance to extend the findings of the study for the better future planning of their Islamic credit card offerings. Originality/value – Importantly, the study extends the applicability of the TRA model into Islamic credit card context. Few studies have conducted over the years under this context in Malaysia.Islamic credit card, personal finance, Islamic bank, Malaysia

ICT in Latin America: A Microdata Analysis

This book is the final report of the ECLAC-IDRC project Observatory for the Information Society in Latin American and the Caribbean (OSILAC), Third Phase”. OSILAC III is a cooperating project between the International Development Research Centre (IDRC) and the Division of Production, Productivity and Management, ECLAC-UN, which aims at understanding the dynamics of the ICT evolution and revolution and producing evidence on its potential to support socio-economic development, particularly in developing countries. As such, microdata analysis drawn from National Household Surveys and National Innovation Surveys in Latin America were used in the framework of the project in the attempt to reach those objectives Both statistical information sources provide attractive potentialities in order to investigate not only determinants of innovation activities and technology diffusion, but also its economic impacts.ICT, Innovation, Productivity

The determinants of web-based investor relations activities by companies operating in emerging economies : the case of Jordan

Peer reviewedPublisher PD