Today, mobile app users regularly “pay” for various mobile services, such as social networking or entertainment apps, by accepting app permission requests, thereby sharing personal data with apps. Privacy calculus theory has established that individuals disclose personal information based on a cost-benefit trade-off. In the mobile app context, however, this notion needs more support, because existing studies have only measured costs and benefits or forced a trade-off. Conducting two online experiments among Western European app users (N1 = 183; N2 = 687), this study replicates earlier findings and provides more-profound insights into the boundary conditions of the privacy calculus by showing that app value (i.e., benefits) trumps the costs ...
Evidences collected from smartphones users show a growing desire of personalization offered by servi...
Personal data from mobile apps are increasingly impacting users’ lives and privacy perceptions. Howe...
The research estimates the value of online Smartphone privacy using Statistical regression models. E...
The increasing demand for mobile apps is out the current capability of mobile app developers. In add...
Mobile apps are increasingly jeopardizing consumer privacy by collecting, storing, and sharing perso...
We shed light on a money-for-privacy trade-off in the market for smartphone applications (“apps”). D...
Mobile apps are increasingly jeopardizing app users' online privacy by collecting, storing, and shar...
Mobile applications (also known as “apps”) have rapidly grown into a multibillion-dollar industry. B...
We shed light on a money-for-privacy trade-off in the market for smartphone applications (“apps”). D...
Information privacy and personal data in information systems are referred to as the ‘new oil’ of the...
Information privacy and personal data in information systems are referred to as the ‘new oil’ of the...
Information privacy and personal data in information systems are referred to as the ‘new oil’ of the...
The real value of mobile applications is heavily dependent on consumers' trust in the privacy of the...
Evidences collected from smartphones users show a growing desire of personalization offered by servi...
Mobile apps brought unprecedented convenience to everyday life, and nowadays, hardly any interactive...
Evidences collected from smartphones users show a growing desire of personalization offered by servi...
Personal data from mobile apps are increasingly impacting users’ lives and privacy perceptions. Howe...
The research estimates the value of online Smartphone privacy using Statistical regression models. E...
The increasing demand for mobile apps is out the current capability of mobile app developers. In add...
Mobile apps are increasingly jeopardizing consumer privacy by collecting, storing, and sharing perso...
We shed light on a money-for-privacy trade-off in the market for smartphone applications (“apps”). D...
Mobile apps are increasingly jeopardizing app users' online privacy by collecting, storing, and shar...
Mobile applications (also known as “apps”) have rapidly grown into a multibillion-dollar industry. B...
We shed light on a money-for-privacy trade-off in the market for smartphone applications (“apps”). D...
Information privacy and personal data in information systems are referred to as the ‘new oil’ of the...
Information privacy and personal data in information systems are referred to as the ‘new oil’ of the...
Information privacy and personal data in information systems are referred to as the ‘new oil’ of the...
The real value of mobile applications is heavily dependent on consumers' trust in the privacy of the...
Evidences collected from smartphones users show a growing desire of personalization offered by servi...
Mobile apps brought unprecedented convenience to everyday life, and nowadays, hardly any interactive...
Evidences collected from smartphones users show a growing desire of personalization offered by servi...
Personal data from mobile apps are increasingly impacting users’ lives and privacy perceptions. Howe...
The research estimates the value of online Smartphone privacy using Statistical regression models. E...