Understanding the impact of group characteristics on individual’s privacy behavior–a systematic literature review

As a result of on-going digital transformation, privacy concerns and resulting privacy behavior play an important role in everyone’s life and affect both individuals as well as groups of individuals. However, there is a lack of literature on the impact of group characteristics on individual privacy behavior. Thus, the goal of this work is to provide an overview of the group-level factors that influence an individuals’ privacy behavior. By conducting a systematic literature review, we identified a total of 14 articles which investigate several factors influencing privacy behavior on the group-level. We find the theory of multilevel information privacy (TMIP) as most promising avenue to understand the role of group factors for individual privacy behavior and extend TMIP by group characteristics, group behaviors, as well as privacy concerns. Finally, even though several papers investigated the impact of group factors, there is still a big need for more research in this area

Digitalisation of the Individual: A Systematic Review from an Affordances-Use-Outcomes Perspective

Digital technology affords individuals to transform several aspects of their everyday lives, leading to different usage patterns with positive and negative outcomes for individuals. While digitalisation is discussed in detail from an organizational perspective, a comprehensive review on outcomes of digitalisation from an individual perspective is currently missing. Therefore, this paper aims to summarize and classify outcomes in lives of individuals that are caused by digitalisation. A structured literature review is conducted. The search string includes the digital individual itself and the digital individual as social being. We discuss the findings of 23 papers on the digitalisation of the individual and present the results in a concept matrix. We identify five types of affordances and differentiate four types of technology use. 25 positive and 31 negative outcomes were reported by existing literature. We contribute a more nuanced understanding of affordances, usage patterns and their outcomes which hold valuable insights for both research and practice

A flow-oriented process model of social media services use

While social media has been a popular subject to extant research, we know little about the conditions and the flows of action of social media use, including staying, discontinuance, and switching behavior. This makes it difficult to understand platform choices and usage patterns of social media services. Based on a flow-oriented theoretical approach, we conduct an exploratory multiple case study of five popular social media services. We conceptualize a multidimensional perspective of social media use behavior. We identify four flows of action – “adjusting”, “coextending”, “fading out”, and “intensifying” – and develop a flow-oriented process model of social media service use. Our results help to understand the wide spectrum of use behavior and motives in social media services and provide new avenues to future research. Furthermore, we provide platform providers with insights to better understand the dynamics of social media services

A Discrepancy between Objective and Perceived Privacy Risks? Understanding Messaging Service’s Discontinuance Usage

The number of users discontinuing messaging services due to perceived privacy risks has grown rapidly in recent months. Still, research on privacy risks in this context has not received much attention. We aim to examine the impact of objective and perceived privacy risks on discontinuance usage. To determine the level of objective privacy risks, we analyze the privacy policy of the messaging service WhatsApp. So far, we identify aggregation, secondary use, identification, and increased accessibility to be the most prevalent objective risks. We propose a longitudinal design to capture individuals’ perceived privacy risks and test the influence of both risk dimensions on the discontinued use of messaging services. We contribute to literature by disentangling the interplay of objective and perceived privacy risks on discontinuance

A Flow-Oriented Process Model of Social Media Services Use

While social media has been a popular subject to extant research, we know little about the conditions and the flows of action of social media use, including staying, discontinuance, and switching behavior. This makes it difficult to understand platform choices and usage patterns of social media services. Based on a flow-oriented theoretical approach, we conduct an exploratory multiple case study of five popular social media services. We conceptualize a multidimensional perspective of social media use behavior. We identify four flows of action – “adjusting”, “coextending”, “fading out”, and “intensifying” – and develop a flow-oriented process model of social media service use. Our results help to understand the wide spectrum of use behavior and motives in social media services and provide new avenues to future research. Furthermore, we provide platform providers with insights to better understand the dynamics of social media services

“No Matter I’ll Be Selected; in the Next Challenge I Will Be Better!” – Understanding Non-Technical Skill Development in the Gig Economy

While prior research on gig work environments studied necessary technical skills for information systems development (ISD) professionals and how they can be developed, the improvement of non-technical skills (NTS) has been rarely explored. However, to successfully engage in the gig work economy, the need for strong NTS is increasing. Based on an experiential learning theory (ELT) perspective, we explore how ISD professionals engaging in the gig economy develop NTS by following grounded theory methodology. Our results are threefold: first, we identify crucial NTS for gig workers. Second, we uncover how these NTS are developed in different phases of adapting to working on gig economy platforms. Third, we reveal several strategies for thriving in the gig economy. Based on our findings we develop a process model of non-technical skill development and discuss this model in relation to implications for gig economy literature and practice