Evolution of mobile location-based services
Communications of the ACM - Mobile computing opportunities and challenges
Beyond concern: a privacy-trust-behavioral intention model of electronic commerce
Information and Management
Communications of the ACM - Urban sensing: out of the woods
Internet privacy concerns and beliefs about government surveillance - An empirical investigation
The Journal of Strategic Information Systems
Task-technology fit for mobile locatable information systems
Decision Support Systems
In Justice We Trust: Predicting User Acceptance of E-Customer Services
Journal of Management Information Systems
Perceived effectiveness of text vs. multimedia Location-Based Advertising messaging
International Journal of Mobile Communications
The impact of use context on mobile services acceptance: The case of mobile ticketing
Information and Management
Mobile commerce adoption in China and the United States: a cross-cultural study
ACM SIGMIS Database
An empirical investigation of attitude towards location-aware social network service
International Journal of Mobile Communications
Ubiquitous Computing Acceptance Model: end user concern about security, privacy and risk
International Journal of Mobile Communications
The Role of Push-Pull Technology in Privacy Calculus: The Case of Location-Based Services
Journal of Management Information Systems
The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study
Information Systems Research
Trust and TAM in online shopping: an integrated model
MIS Quarterly
International Journal of Information Management: The Journal for Information Professionals
The effects of relationship quality and switching barriers on customer loyalty
International Journal of Information Management: The Journal for Information Professionals
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Due to the privacy risk associated with using location-based services (LBS), users are often reluctant to adopt and use them. Drawing on the justice theory, this research identified the factors affecting continuous usage of LBS. Perceived justice reflects a set of fairness perceptions and involves three dimensions: distributive justice, procedural justice and interactional justice, which reflect outcome fairness, process fairness and treatment fairness, respectively. We conducted data analysis with structural equation modeling (SEM). The results show that procedural justice is the main factor affecting privacy risk, whereas distributive justice is the main factor affecting perceived usefulness. Privacy risk and perceived usefulness influence continuous usage. Thus mobile service providers need to improve users' perceived justice to facilitate their usage of LBS.