News

30.10.2017 12:07

Two papers accepted at the 2017 Pre-ICIS Workshop on Information Security and Privacy (WISP’17)

Great success for Prof. Sunyaev’s group. Two papers were accepted for presentation at the 2017 Pre-ICIS Workshop Information Security and Privacy on December 9 in Seoul, South Korea.

Heiner Teigeler, Sebastian Lins and Ali Sunyaev: Chicken and Egg Problem: What Drives Cloud Service Providers and Certification Authorities to Adopt Continuous Service Certification?

Abstract: Recent information systems research efforts resulted in innovative prototypes that enable certification authorities (CA) to continuously certify cloud service providers (CSP). Performing continuous service certification (CSC) is beneficial for CSP and CA, and has the potential to reduce security and privacy concerns of customers that hamper the adoption of cloud services. Yet, CSC is currently lacking wide-scale diffusion due to the ‘chicken and egg problem’: CA demand a critical mass of consumers before they consider entering the market. Yet, CSC services are desperately needed to establish this critical mass of consumers in the first place. Hence, to enable diffusion of CSC, CA (as CSC provider) and CSP (as CSC consumer) have to be motivated both to adopt the CSC innovation. We build on the technology-push and market-pull theories to identify factors that drive CSC diffusion. Findings reveal that technology-push factors (including innovations’ complexity, and organizations’ capabilities for innovation testing) on the one hand, and market-pull factors (including market forces and performance gaps) on the other hand will drive CA and CSP to adopt CSC. We take a holistic perspective as we analyze the adoption intention of CSP and CA simultaneously from a technology-push and market-pull perspective to resolve the ‘chicken and egg problem’.

Scott Thiebes, Kalle Lyytinen and Ali Sunyaev: Individuals’ Willingness to Share Private Genome Data: Towards a Non-Personal Privacy Calculus

Abstract: Notwithstanding the potential personal and societal benefits of genomics, large scale genome data analyses bear novel information privacy risks for individual genome data donors and their relatives. Extant research on individuals’ willingness to share their private genome data has largely focused on eliciting individual motivating and discouraging factors. Little is known about the casual relationships between such factors and what drives individuals’ willingness to share their genome data. Drawing on the privacy calculus, we develop a model of individuals’ willingness to share their genome data. Specifically, we introduce a notion of social distance into the privacy calculus and conceptualize benefits and information privacy risks as a second-order construct consisting of benefits and respectively risks for oneself, close others, and distant others.