Social Preferences in Decision Making Under Cybersecurity Risks and Uncertainties

The most costly cybersecurity incidents for organizations result from the failures of their third parties. This means that organizations should not only invest in their own protection and cybersecurity measures, but also pay attention to that of their business and operational partners. While economic impact and real extent of third parties cybersecurity risks is hard to quantify, decision makers inevitably compare their decisions with other entities in their network. This paper presents a theoretically derived model to analyze the impact of social preferences and other factors on the willingness to cooperate in third party ecosystems. We hypothesize that willingness to cooperate among the organizations in the context of cybersecurity increases following the experience of cybersecurity attacks and increased perceived cybersecurity risks. The effects are mediated by perceived cybersecurity value and moderated by social preferences. These hypotheses are tested using a variance-based structural equation modeling analysis based on feedback from a sample of Norwegian organizations. Our empirical results confirm the strong positive impact of social preferences and cybersecurity attack experience on the willingness to cooperate, and support the reciprocal behavior of cybersecurity decision makers. We further show that more perception of cybersecurity risk and value deter the decision makers to cooperate with other organizations

Internet shopping and internet banking in sequence: An explanatory case study

Adoption of Internet banking often follows on from usage of Internet shopping, but policies to increase Internet banking use typically ignore this ordering. This article presents a case study that underscores this sequence of Internet service adoption and identifies factors that shape the propensity to use the Internet for shopping and banking. Application of bivariate probit regression techniques to data sourced from a survey of 259 respondents in Athens, Greece, and estimation of marginal effects of the determinants of Internet banking use conditioned on the determinants of Internet shopping use illustrate that ignoring the sequence of Internet service use can lead to incorrect policy recommendations. This article contributes to the literature by theorising the underlying causal mechanisms of Internet banking adoption and presenting supporting evidence via a sequential modelling approach. We find that personal capacity is an important determinant of Internet banking use in a standard, non-sequential approach but it has no significant effect when the model is sequential. Our results suggest that policymakers should emphasise usefulness attributes of Internet banking when attempting to increase Internet banking usage by people who already use the Internet for shopping. © 2013 Macmillan Publishers Ltd

Maximizing the Efficiency of Greenhouse Gas Related Consumer Policy

Green positioning, GHG emission, Marginal abatement costs, Marginal social costs, Consumer policy profile,