Dynamics of banking technology adoption: an application to internet banking

This paper is concerned with examining behaviour of firms (banks) and consumers (banks’ customers) in the event of a new technology (internet banking) introduction. The determinants of consumer adoption of internet banking are characterised using survey data from Korea in both static and dynamic framework. I find evidence that adoption of internet banking is influenced by sex, age, marital status, degree of exposure to internet banking, and the characteristics of the banks. A duration analysis shows no evidence of first mover advantage (order effects) in internet banking whilst the largest bank (rank effects) in commercial banking remains dominant in internet banking. The results imply that the internet banking adoption is dominated by social norm effects

Dynamics of Banking Technology Adoption: An Application to Internet Banking

This paper is concerned with examining behaviour of firms (banks) and consumers (banks' customers) in the event of a new technology (internet banking) introduction. The determinants of consumer adoption of internet banking are characterised using survey data from Korea in both static and dynamic framework. I find evidence that adoption of internet banking is influenced by sex, age, marital status, degree of exposure to internet banking, and the characteristics of the banks. A duration analysis shows no evidence of first mover advantage (order effects) in internet banking whilst the largest bank (rank effects) in commercial banking remains dominant in internet banking. The results imply that the internet banking adoption is dominated by social norm effects.internet banking, technology adoption, first-mover advantage, pre-emption, social norm

DYNAMICS OF BANKING TECHNOLOGY ADOPTION : AN APPLICATION TO INTERNET BANKING

This paper is concerned with examining behaviour of firms (banks) and consumers (banks’ customers) in the event of a new technology (internet banking) introduction. The determinants of consumer adoption of internet banking are characterised using survey data from Korea in both static and dynamic framework. I find evidence that adoption of internet banking is influenced by sex, age, marital status, degree of exposure to internet banking, and the characteristics of the banks. A duration analysis shows no evidence of first mover advantage (order effects) in internet banking whilst the largest bank (rank effects) in commercial banking remains dominant in internet banking. The results imply that the internet bankin g adoption is dominated by social norm effects.internet banking ; technology adoption ; first-mover advantage ; pre-emption ; social norm

Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications

Wireless sensor networks monitor dynamic environments that change rapidly over time. This dynamic behavior is either caused by external factors or initiated by the system designers themselves. To adapt to such conditions, sensor networks often adopt machine learning techniques to eliminate the need for unnecessary redesign. Machine learning also inspires many practical solutions that maximize resource utilization and prolong the lifespan of the network. In this paper, we present an extensive literature review over the period 2002-2013 of machine learning methods that were used to address common issues in wireless sensor networks (WSNs). The advantages and disadvantages of each proposed algorithm are evaluated against the corresponding problem. We also provide a comparative guide to aid WSN designers in developing suitable machine learning solutions for their specific application challenges.Comment: Accepted for publication in IEEE Communications Surveys and Tutorial

From Social Data Mining to Forecasting Socio-Economic Crisis

Socio-economic data mining has a great potential in terms of gaining a better understanding of problems that our economy and society are facing, such as financial instability, shortages of resources, or conflicts. Without large-scale data mining, progress in these areas seems hard or impossible. Therefore, a suitable, distributed data mining infrastructure and research centers should be built in Europe. It also appears appropriate to build a network of Crisis Observatories. They can be imagined as laboratories devoted to the gathering and processing of enormous volumes of data on both natural systems such as the Earth and its ecosystem, as well as on human techno-socio-economic systems, so as to gain early warnings of impending events. Reality mining provides the chance to adapt more quickly and more accurately to changing situations. Further opportunities arise by individually customized services, which however should be provided in a privacy-respecting way. This requires the development of novel ICT (such as a self- organizing Web), but most likely new legal regulations and suitable institutions as well. As long as such regulations are lacking on a world-wide scale, it is in the public interest that scientists explore what can be done with the huge data available. Big data do have the potential to change or even threaten democratic societies. The same applies to sudden and large-scale failures of ICT systems. Therefore, dealing with data must be done with a large degree of responsibility and care. Self-interests of individuals, companies or institutions have limits, where the public interest is affected, and public interest is not a sufficient justification to violate human rights of individuals. Privacy is a high good, as confidentiality is, and damaging it would have serious side effects for society.Comment: 65 pages, 1 figure, Visioneer White Paper, see http://www.visioneer.ethz.c

The power of creativity and the power of the city - the functioning of labour markets and its role for urban location in the restructuring of German advertising

Urban socio-economic theory today strongly focuses on the role of labour markets in shaping the structure of the urban economy and society. Particularly the strong polarisation of the urban society is often explained through the polarised structure of post-industrial service labour markets. Yet this theoretical focus, visible in a whole flood of literature, tends to disarticulate with the small number of studies which empirically attempt to unravel the structure and functioning of particular labour markets in cities. The present paper aims at filling this gap by providing insights into the predominantly urban and especially post-industrial labour market of advertising. At the same time it attempts to highlight the nexus between its structure and functioning and the spatial structure of the economic activity by examining the role of labour markets for the spatial restructuring of the German advertising industry. After giving a brief critical overview of the role of labour markets in contemporary urban theory, the restructuring of German advertising is portrayed in a more descriptive way, presenting employment data from the last twenty years. In a second empirical step a more profound qualitative approach to the sector is taken focusing on the way how different agency types attempt and succeed to manage the frequently conflicting interests of both their clients and their labour force. The paper concludes by launching two key arguments: first, it will be decisive for understanding future urban economies to get insights in just these labour markets of 'classic' post-industrial activities and, second, to understand them one has to seriously consider the way how they interact with the social relations the labour market actors are embedded in.