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

Understanding Perceived Privacy: A Privacy Boundary Management Model

Consumer data is asset to organizations. Analysis of consumers’ transactional data helps organizations to understand customer behaviors and preferences. Before organizations could capitalize on these data, they ought to have effective plans to address consumers’ privacy concerns because violation of consumer privacy brings long-term reputational damage to organizations. This paper proposes and tests a Privacy Boundary Management Model that explains how consumers formulate and manage their privacy boundary. Survey data was collected from 98 users of online banking websites who have used the system for a minimum of six months. The PLS results showed that the model accounts for high variance in perceived privacy. Three elements of the FIPs (notice, access, and enforcement) have significant impact on perceived effectiveness of privacy policy. Perceived effectiveness in turns significantly influences privacy control and privacy risks. Privacy control affects perceived privacy and trust while privacy risk influences privacy concern and perceived privacy. Privacy concern has a negative relationship with perceived privacy and trust has a positive relationship with perceived privacy. The findings have novel implications for organizations and policy makers

Reconciling the Personalization-Privacy Paradox: Exploring Privacy Boundaries in Online Personalized Advertising

To reconcile the personalization-privacy paradox, we adopt the privacy as a state view and define privacy as a state of information boundary rule-following. We further identify five types of boundaries underlying some of the important implicit rules of maintaining privacy: communication channel, platform, device, temporal, and purpose boundaries. Using an online vignette survey, we investigated how each of these boundary types affected users’ privacy perceptions when they were subjected to personalized advertisements. Using fixed- and random-effects models, we investigated how violating different boundary rules leads to changes in perceived privacy. Our results show that all five boundary types are significant predictors of perceived privacy within individuals. The communication channel, device, and business versus private purpose are significant predictors of perceived privacy across the whole sample. Temporal boundaries and platform boundaries failed to achieve statistical significance when evaluated simultaneously with the other factors across the whole sample. This means that for each individual, observing the rules of these five boundary types leads to higher perceived privacy than not observing these conditions. Taken as a whole, observing communication channel, device, and business versus private purpose boundaries also leads to higher averages of perceived privacy across the whole sample. Theoretical and practical implications are discussed based on the result

Does Your Boss Know Where You Are? Predicting Adoption of LBS in the Workplace

To date there has been no tested model to predict uptake of LBS services in a real world setting. The leading theoretical contribution to our understanding of attitudes and behaviour towards LBS comes from Junglas & Spitzmüller (2005). They hypothesised that intentions to use LBS would be influenced by technology characteristics, task characteristics, personality type, perceived privacy, perceived usefulness, trust and perceived risk. We developed a questionnaire to test and refine their model with a UK employed population

Mobile Game Players’ Behavioral Intention to Use Facial Recognition Login System in Shanghai, China

Purpose: This research was designed to study the influences of perceived effectiveness of privacy policy, perceived privacy risk, perceived privacy self-efficacy, privacy concern, perceived usefulness, perceived ease of use, and the behavioral intention of mobile game players toward facial recognition login systems. Research design, data, and methodology: This research has applied a quantitative method to distribute questionnaires to mobile game players (n=701) in Shanghai, China. The sample techniques involve judgmental and convenience sampling. The index of item-objective congruence (IOC) and pilot test were employed before the data collection. Confirmatory factor analysis (CFA), and structural equation model (SEM) were implemented to analyze the data and test the overall model along with the proposed research hypotheses. Result: The analysis showed that perceived effectiveness of privacy policy, perceived privacy risk, perceived privacy self-efficacy, privacy concern, perceived usefulness, and perceived ease of use significantly impact behavioral intention. Privacy concern has the strongest impact on behavioral intention. Conclusion: Mobile game services need to provide a comprehensive and reliable privacy policy statement to reduce users’ privacy concerns. For the system, promoters need to emphasize how facial recognition login systems is safer and more convenient than the other sign-in system

THE INVESTIGATION OF THE FACTORS ASSOCIATING CONSUMERS’ TRUST IN E-COMMERCE ADOPTION

The success of electronic commerce significantly depends on providing security and privacy for its consumers’ sensitive personal information. Consumers’ lack of acceptance in electronic commerce adoption today is not merely due to the concerns on security and privacy of their personal information, but also lack of trust and reliability of web vendors. Consumers’ trust in online transactions is crucial for the continuous growth and development of electronic commerce. Since Business to Consumer (B2C) e-commerce requires the consumers to engage the technologies, the consumers face a variety of security risks. This study addressed the role of security, privacy and risk perceptions of consumers to shop online in order to establish a consensus among them. The findings provided reliability, factors analysis for the research variables and for each of the study’s research constructs, correlations as well as regression analyses for both non-online purchasers’ and online purchasers’ perspectives, and structural equation modeling (SEM) for overall model fit. The overall model was tested by AMOS 18.0 and the hypothesis, assumptions for SEM and descriptive statistics were analyzed by SPSS 12.0. The empirical results of the first study indicated that there were poor correlations existed between consumers’ perceived security and consumers’ trust as well as between consumers’ perceived privacy and consumers’ trust regarding e-commerce transactions. However, the construct of perceived privacy manifested itself primarily through perceived security and trustworthiness of web vendors. While trustworthiness of web vendors was a critical factor in explaining consumers’ trust to adopt ecommerce, it was important to pay attention to the consumers’ risk concerns on ecommerce transactions. It was found that economic incentives and institutional trust had no impact on consumers’ perceived risk. Findings from the second study indicated that perceived privacy was still to be the slight concern for consumers’ trust in e-commerce transactions, though poor vi i relationships or associations existed between perceived security and consumers’ trust, between trustworthiness of web vendors and consumers’ trust, and between perceived risk and consumers’ trust. The findings also showed that the construct of perceived privacy manifested itself primarily through perceived security and trustworthiness of web vendors. It was found that though economic incentives influenced a consumers’ perceived risk in online transactions, institutional trust had no impact on consumers’ perceived risk. Overall findings suggested that consumers’ perceived risk influenced their trust in e-commerce transactions, while the construct of perceived privacy manifested itself primarily through perceived security as well as trustworthiness of web vendors. In addition, though economic incentives had no impact on consumers’ perceived risk, institutional trust influenced a consumers’ perceived risk in online transactions. The findings also suggested that economic incentives and institutional trust had relationships or associations with consumers’ perceived privacy. The findings from this research showed that consumers’ perceived security and perceived privacy were not mainly concerned to their trust in e-commerce transactions though consumers’ perceived security and perceived privacy might slightly influence on the trustworthiness of web vendors in dealing with online store sites abroad. Furthermore, consumers’ perceptions on the trustworthiness of web vendors were also related to their perceived risks and the concern about privacy was also addressed to perceived risks. Index terms: Perceived security; perceived privacy; perceived risk; trust; consumers’ behaviour; SE

Working from home: Cognitive irritation as mediator of the link between perceived privacy and sleep problems

Since the COVID-19 pandemic began, many employees have been required to work full or part-time at home. This paper investigates the impact of perceived privacy on cognitive irritation and sleep problems among employees who worked from home during the pandemic. Additionally, we analyzed the role of cognitive irritation as a mediator between privacy and sleep problems. We created a cross-sectional questionnaire, which was completed by 293 employees who performed home-based telework in German-speaking Switzerland. A mediation analysis was then conducted using a multiple regression analysis. A test of the indirect effect showed a significant mediation path from perceived privacy via cognitive irritation to sleep problems. Hence, the negative indirect effect indicates that perceived privacy is an important job resource that may prevent sleep problems. Further research is needed regarding home-based telework and recovery strategies to prevent sleep problems

Perceived privacy in home office and musculoskeletal complaints: a test of family-work conflict, work-family conflict, and relaxation as mediators.

Many employees have had to telework all year during the COVID-19 pandemic. Even though working from home has many advantages, there are also some disadvantages worth to consider. Lack of privacy is a relevant factor when it comes to the development of severe musculoskelatal issues. This study investigated the link between perceived privacy in home office and musculoskeletal complaints (MSCs). Family-work conflict (FWC), work-family conflict (WFC), and relaxation were tested as potential mediators for the relationship between perceived privacy and MSCs. The present study's questionnaire was filled out by 287 teleworking employees. Hypotheses were tested via multiple mediation analyses examining levels of perceived privacy in home office, and its relationship on MSCs. Furthermore, the underlying effect of FWC, WFC, and MSCs were tested with a structural equation model. As assumed, lack of privacy while working at home was linked to individuals more frequently experiencing MSCs. However, the structural equation model showed no significant mediation effect. Work design efforts must address privacy while employees perform telework at home to prevent MSCs

How Perceived Privacy Risk Determines People’s Willingness to Use Online Fashion Technologies

The subjective perception of Risk, Security, and Privacy in using online platforms and technologies determines to a large extent customers’ behaviours on these platforms. Accordingly, in this applied research project we have empirically explored how procedural anonymity and privacy influence customers’ willingness to use an online fitting application for fashion. Moreover, we have developed a psychometric tool that captures the psycholog ical variables (e.g., trust, perceived privacy risk, perceived privacy control, and online self-disclosure behaviour) of using online fashion technology. Furthermore, we will report the psychological factors that predict customers’ willingness to use online technology for fashion (e.g., online fitting application)