Bring your own applications (BYOA) in organizational networks introduces security risks. We examine whether individuals who BYOA at work are motivated to use multi-factor authentication (MFA) to protect the organization’s security, a practice we describe as bring your own security (BYOS). The behaviors are examined through dual theoretical lenses (a) intrinsic motivation, capturing the personal satisfaction related to the use, and (b) perspective-taking, capturing the user’s ability to consider information security from the organization’s perspective. We analyzed survey data of 154 samples using partial least squares structural equation modeling (PLS-SEM). Our results demonstrate that while the intrinsic motivation path is instrumental in influencing MFA use, perspective-taking offers significant explanatory power to information security behaviors. This article extends the current knowledge of the impact of perspective-taking on voluntary security behavior, which makes a novel and significant contribution to cybersecurity research and practice.

While there is an explosion in data analytic activity, certain behavioral aspects of a data analyst’s modeling efforts are not well understood. Through the lens of effort minimization theory, this research considers how data analysts make decisions to engage with more data as a part of their modeling process, and the effects that modeling tools have on these decisions. Previous research found that decision aids have no effect on reducing effort in terms of the amount of information referenced and processed. However, our results indicate that there are indeed significant differences in the amount of data analyzed with less effort-intensive modeling methods, and increasing amounts of available data. These results offer new implications for effort minimization research and organizations engaged in data analytics.

In the summer of 2017, an online survey was administered to European IT executives, asking them about their concerns, spending, investments, cloud usage, security, workforce, reporting relationships, and other issues of importance. A total of 276 organisations responded. Their top-five most important IT management concerns were: Alignment, Digital Transformation, Cybersecurity, Cost, and Business Agility. Similarly, their top-five largest IT investments were: Analytics, Software Development, Cloud, Cybersecurity, and ERP.The average age of the CIOs was 49, 41% reported to their CEO, and nearly two-thirds interacted with their CEO at least weekly. Almost three-quarters came from previous IT positions, but only a 16% from IT within their current organisations. On average, CIOs spend about 20% of their time interacting with members of the C-suite, about 26% with their IT employees, and about 16% with other corporate employees. IT spending was up nearly 5% over the previous year and averaged almost 7% of corporate revenues. Over two-thirds of companies reported the number of IT employees and salaries were both up and spending on Cloud also increased.This paper explores these and other findings and their implications for IT management practice. Comparisons with US -based organisations are also included.

Mobile adoption and use research are a relatively mature Information Systems (IS) research area; however, few studies have taken a user-centered approach to examining this phenomenon. This research focuses on the user characteristics of self-efficacy and time urgency, a construct adopted from psychology, and relates them to traditional adoption and use theories. Further, this research substitutes mobile proximity as a usage construct to explicitly recognize the features of the mobile device that make it unique, thereby enriching the use literature. The proposed model explains 24% of the variance in mobile proximity and highlights four significant hypotheses. Our findings indicate that the newly applied time urgency and mobile proximity constructs are applicable in adoption and use studies and should be further explored in IS literature. Implications for research and practice are outlined, including the relative ease of access to mobile devices and the importance of personality traits as related to adoption.

eBooks and eBook readers represent a major technology discontinuity for those involved in the creation, publication, distribution, and consumption of written material ranging from books to magazines. Emerging from this disruption is an important new market, ultimately driven by the individual adoption of mobile eBook readers. This paper views mobile eBook readers as content delivery platforms and argues that both content type and availability, concepts underrepresented in the adoption literature, are important in the cognitive processes that regulate adoption behavior. To that end, a conceptual model based on the technology acceptance model (TAM), motivation theory, and constructs representing utilitarian and hedonic content availability is developed. The model is empirically tested using a survey of university students and analyzed using Partial Least Squares. The study finds that content is an important factor in eBook reader adoption and that traditional books are still preferred over eBooks by a three to one margin.