An increasing number of people are tracking their fitness activities, work performance and leisure experiences using body sensors (e.g., wrist-bands or smart watches) and mobile applications. This trend, referred to as ...

Based on a qualitative interview-study as well as on a quantitative survey among users of the room sharing platform Airbnb, we show that situational closeness between sharing economy consumers and providers may prompt ...

In this article, we provide an overview of the literature on chilling effects and corporate profiling, while also connecting the two topics. We start by explaining how profiling, in an increasingly data-rich environment, ...

The sharing economy is a global phenomenon with rapid growth potential. While research has begun to explore segmentation between users and non-users, only limited research has looked at consumer segmentation within sharing ...

Ever since empirical studies found only a weak, if any, relationship between privacy concerns and privacy behavior, scholars have struggled to explain the so-called privacy paradox. Today, a number of theoretical arguments ...

In this literature review, I summarize key concepts and findings from the rich academic literature on digital inequalities. I propose that digital inequalities research should look more into labor- and big data-related ...

Purpose – The purpose of this study is to contribute to current hospitality and tourism research on the sharing economy by studying the under-researched aspects of regulatory desirability, moral legitimacy, and fairness ...

The sharing economy is a relevant economic phenomenon of recent times and important for sustainable economic growth. This chapter considers the motivational factors that drive and hinder participation in the sharing economy. ...

Algorithmic profiling has become increasingly prevalent in many social fields and practices, including finance, marketing, law, cultural consumption and production, and social engagement. Although researchers have begun ...

Critics worry that algorithmic filtering could lead to overly polished, homogeneous web experiences. “Serendipity,” in turn, has been touted as an antidote. Yet, the desirability of serendipity could vary by context, as ...