By means of a series of empirical studies within the context of privacy decision making, this dissertation examines emerging aspects of digital nudging to improve users’ online privacy choices.
As consumers and users of digital products and services, we are constantly faced with making decisions in an online environment, with a tendency to rise. Yet, due to natural cognitive limitations of the human brain, individual decision making is often imperfect. To assist people in their online decision making, information system scholars have examined the concept of digital nudging, exploring the importance of distinct interface design elements for guiding people’s online choices. The majority of online choice situations also entail privacy decisions about how much of our personal information we disclose to online providers, which has led to studying digital nudging in a privacy context to assist users in their online privacy decision making.
However, while having been proven to be effective, the behavioural intervention of digital nudging has two main drawbacks, namely a one-size-fits-all approach and an inherent lack of self-determination. Yet, being able to make appropriate online privacy decisions is crucial for navigating the digital world in a self-determined fashion. Therefore, to be of suitable assistance for online privacy decisions, the digital nudging approach should be improved to benefit users and online providers alike. By means of a series of empirical research projects within the context of privacy decision making, this dissertation examines aspects of personalised digital nudging as a refined and more effective version of digital nudging, and digital boosting as a new additional behavioural intervention to improve users’ online privacy choices. Accordingly, this dissertation adds to information systems, digital nudging, and privacy literature, and provides insights for practitioners into how the interests of users and providers do not have to be mutually exclusive when it comes to online privacy.
Charlotte Schöning
Charlotte Schöning promovierte an der Ludwig-Maximilians-Universität München (LMU), wo sie als wissenschaftliche Mitarbeiterin am Institut für Digitales Management und Neue Medien (DMM) tätig war. An der LMU absolvierte Charlotte Schöning ferner ein postgraduales Studium zum Master of Business Research (MBR). Sie hält zudem einen Bachelor in BWL von der Universität Mannheim sowie einen Master in European Studies von der London School of Economics and Political Science.
Digital Nudging Online Privacy Decision Making Behavioural Interventions Privatheitsentscheidungen