How do older adults communicate with the UK public sector? : Comparing online communication channels

Copyright and all rights therein are retained by the authors. All persons copying this information are expected to adhere to the terms and conditions invoked by each author's copyright. These works may not be re-posted without the explicit permission of the copyright holdersGovernments around the world are moving away from conventional ways of face to face communication to a more digital approach when delivering services to their citizens. This includes using the internet as both a communication tool and an information source to improve efficiency in their services. However, not all the citizens are making use of these changes, especially the older adults. Therefore, this research-in-progress paper aims to investigate and identify the factors that encourage older adults to continue using a particular communication channel when interacting with the government. In addition, future directions, limitations and conclusions are also provided within this paper. The implication of this study to academia is viewed to be the development of an extended framework that allows an understanding of continuance intention of online communication tools usage. Equally, this framework will benefit industry by informing providers of communication channels to the government to be aware of the factors that influence older adults’ choices when interacting with the government. For policymakers this research will identify the communication channels that promote interaction with citizensFinal Published versio

Alter ego, state of the art on user profiling: an overview of the most relevant organisational and behavioural aspects regarding User Profiling.

This report gives an overview of the most relevant organisational and\ud behavioural aspects regarding user profiling. It discusses not only the\ud most important aims of user profiling from both an organisation’s as\ud well as a user’s perspective, it will also discuss organisational motives\ud and barriers for user profiling and the most important conditions for\ud the success of user profiling. Finally recommendations are made and\ud suggestions for further research are given

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

Consumer decision making in mobile-banking service selection

This paper reports on the findings of a study of 267 consumers on the first order selection criteria within a decision making model that utilizes the Analytic Hierarchy Process (AHP) to evaluate mobile banking service selection. The AHP analysis of the first order selection criteria for the full data sample identified ‘Time Saving’ as the highest ranked factor followed by ‘Control’ then ‘Any Place’ and lastly ‘Cost’. The survey also reports on consumer usage patterns for internet and mobile services as well as exploring their experiences with mobile banking services