A Privacy Calculus Perspective

Sandhu, R. K., Vasconcelos-Gomes, J., Thomas, M. A., & Oliveira, T. (2023). Unfolding the Popularity of Video Conferencing Apps: A Privacy Calculus Perspective. International Journal Of Information Management, 68(February), 1-17. [102569]. https://doi.org/10.1016/j.ijinfomgt.2022.102569. Funding: This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia) under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC).Videoconferencing (VC) applications (apps) have surged in popularity as an alternative to face-to-face communications especially during the COVID-19 pandemic. Although VC apps offer myriad benefits, it has caught much media attention owing to concerns of privacy infringements. This study examines the key determinants of working professional’s intentions to use VC apps in the backdrop of this conflicting duality. A conceptual research model is proposed that is based on theoretical foundations of privacy calculus and extended with conceptualizations of mobile users’ information privacy concerns (MUIPC), trust, technicality, ubiquity, as well as theoretical underpinnings of social presence theory. Structural equation modelling (SEM) is used to empirically test the model using data collected from 487 working professionals. For researchers, the study offers insights on the extent to which social richness and technological capabilities afforded by the virtual environment serve as predictors of the continuance intentions of using VC apps. Researchers may also find the model applicable to other studies of surveillance-based technologies. For practitioners, key recommendations pivotal to the design and development mobile video-conferencing apps are presented to ensure higher acceptance and continued usage of VC apps in professional settings.preprintauthorsversionepub_ahead_of_prin

Using Privacy Calculus Theory To Assess Users´ Acceptance Of Video Conferencing Apps During The Covid-19 Pandemic

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementVideoconferencing (VC) applications (apps) are getting notable attention worldwide, from common citizens to professionals as an alternative to vis-à-vis communication specifically during COVID-19. The growth of VC apps is expected to rise even more in the future with the prediction that widespread adoption of remote work will continue to hold even after the pandemic. This research investigates the key drivers for individuals’ intentions into continuing to use this technology in professional settings. Considering the importance of professionals’ perceptions of privacy in professionals’ settings, this study proposes a conceptual model rooted in the theoretical foundations of privacy calculus theory, extended with the conceptualization of privacy concerns for mobile users (MUIPC), ubiquity, and theoretical underpinnings from social presence theory. The conceptual research model was empirically tested by using data collected from a survey of 487 actual users of videoconferencing apps across Europe. Structural equation modeling (SEM) is performed to test the model. The study revealed several findings (1) perceived value in using VC apps motivates the professionals to continue using VC apps and shapes their perception as they evaluate the risk-benefit trade-off they are making when using VC apps. (2) professionals’ indeed form and articulate their own assessment of value based on the perceived risks and benefits associated with using VC apps. However, professionals' perceptions of value are strongly influenced by potential benefits received from using VC apps than by potential risks associated with using VC apps. (3) professionals’ perceived risk is determined by MUIPC and trust. (4) professionals’ perceived benefits are shaped by ubiquity and social presence. For researchers, this study highlights the usefulness of integrating privacy calculus theory, social presence theory and trust in studying the individuals’ behavioral intentions towards new technologies. For practitioners, understanding the key determinants is pivotal to design and build mobile video-conferencing apps that achieve higher consumer acceptance and higher rates of continued usage of VC apps in professional settings

Intention To Disclose Personal Information Via Mobile Applications: A Privacy Calculus Perspective

This study aimed to investigate the issue of consumer intention to disclose personal information via mobile applications (apps). Drawing on the literature of privacy calculus theory, this research examined the factors that influence the trade-off decision of receiving perceived benefits and being penalized with perceived risks through the calculus lens. In particular, two paths of the direct effects on perceived benefits and risks that induce the ultimate intention to disclose personal information via mobile apps were proposed and empirically tested. The analysis showed that self-presentation and personalized services positively influence consumers’ perceived benefits, which in turn positively affects the intention to dis- close personal information. Perceived severity and perceived control serve as the direct antecedents of perceived risks that negatively affect the intention of consumers to disclose personal information. Compared with the perceived risks, the perceived benefits more strongly influence the intention to disclose personal information. This study extends the literature on privacy concerns to consumer intention to disclose personal information by theoretically developing and empirically testing four hypotheses in a research model. Results were validated in the mobile context, and implications and discussions were presented

“They’re All the Same!” Stereotypical Thinking and Systematic Errors in Users’ Privacy-Related Judgments About Online Services

Given the ever-increasing volume of online services, it has become impractical for Internet users to study every company’s handling of information privacy separately and in detail. This challenges a central assumption held by most information privacy research to date—that users engage in deliberate information processing when forming their privacy-related beliefs about online services. In this research, we complement previous studies that emphasize the role of mental shortcuts when individuals assess how a service will handle their personal information. We investigate how a particular mental shortcut—users’ stereotypical thinking about providers’ handling of user information—can cause systematic judgment errors when individuals form their beliefs about an online service. In addition, we explore the effectiveness of counter-stereotypic privacy statements in preventing such judgment errors. Drawing on data collected at two points in time from a representative sample of smartphone users, we studied systematic errors caused by stereotypical thinking in the context of a mobile news app. We found evidence for stereotype-induced errors in users’ judgments regarding this provider, despite the presence of counter-stereotypic privacy statements. Our results further suggest that the tone of these statements makes a significant difference in mitigating the judgment errors caused by stereotypical thinking. Our findings contribute to emerging knowledge about the role of cognitive biases and systematic errors in the context of information privacy

EXPLORING THREAT-SPECIFIC PRIVACY ASSURANCES IN THE CONTEXT OF CONNECTED VEHICLE APPLICATIONS

Connected vehicles enable a wide range of use cases, often facilitated by smartphone apps and involving extensive processing of driving-related data. Since information about actual driving behavior or even daily routines can be derived from this data, the question of privacy arises. We explore the impact of privacy assurances on driving data sharing concerns. Specifically, we consider two data-intensive cases: usage-based insurance and traffic hazard warning apps. We conducted two experimental comparisons to investigate whether and how privacy-related perceptions about vehicle data sharing can be altered by different types of text-based privacy assurances on fictional app store pages. Our results are largely inconclusive, and we did not find clear evidence that text-based privacy guarantees can significantly alter privacy concerns and download intentions. Our results suggest that general and threat-specific privacy assurance statements likely yield no or only negligible benefits for providers of connected vehicle apps regarding user perceptions

An Experiment Series on App Information Privacy Concerns

The diffusion of smart mobile devices and therewith apps into everyday life comes along with the permanent disclosure of sensitive and personal data. Despite the concerns individuals have regarding their information privacy, they act oppositional. However, through the permanent disclosure of sensitive and personal information, privacy of individuals is at risk. The risk of privacy is intensified by the classification of the mobile app download and the usage decision processing as low effort processes without much deliberation. Therefore, the article follows the call of Dinev et al. (2015) to consider principles from behavioural economics and social psychology to investigate its influences on privacy decisions. This is operationalised with six independent experiments to examine the influence of cognitive biases on app information privacy concerns. The results support the underlying assumption of app decision-making as a low effort process and confirmed that different stimuli do influence privacy concerns of individuals. This research contributes to the increasing importance of understanding individ-uals’ behaviour in digital ecosystems