Factors influencing willingness to provide personal information for personalized recommendations

Anand, 2003, Intelligent techniques for web personalization, 1 Bansal, 2010, The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online, Decision Support Systems, 49, 138, 10.1016/j.dss.2010.01.010 Chang, 2014, Visiting theories that predict college students' self-disclosure on Facebook, Computers in Human Behavior, 30, 79, 10.1016/j.chb.2013.07.059 Choi, 2011, The influence of social presence on customer intention to reuse online recommender systems: The roles of personalization and product type, International Journal of Electronic Commerce, 16, 129, 10.2753/JEC1086-4415160105 Cisco, 2016 Dinev, 2006, Privacy calculus model in e-commerce: A study of Italy and the United States, European Journal of Information Systems, 15, 389, 10.1057/palgrave.ejis.3000590 Dinev, 2006, An extended privacy calculus model for E-commerce transactions, Information Systems Research, 17, 61, 10.1287/isre.1060.0080 Gefen, 2003, IT acceptance: Managing user-IT group boundaries, ACM SIGMIS - Data Base, 34, 25, 10.1145/937742.937746 Gefen, 2000, Structural equation modeling and regression: Guidelines for research practice, Communications of the Association for Information Systems, 4, 1 Ifinedo, 2012, Understanding information systems security policy compliance: An integration of the theory of planned behavior and the protection motivation theory, Computers & Security, 31, 83, 10.1016/j.cose.2011.10.007 Jeckmans, 2013, Privacy in recommender systems, 263 Keith, 2013, Information disclosure on mobile devices: Re-examining privacy calculus with actual user behavior, International Journal of Human-computer Studies, 71, 1163, 10.1016/j.ijhcs.2013.08.016 Kim, 2010, Exploring the relationship between the level of news usage on influenza A (H1N1) and media users' behavioral intention toward personal and public health protection: Focusing on protection motivation theory, Korean Journal of Communication & Information, 51, 5 Kim, 2016, A study on factors influencing privacy decision making on the Internet: Focus on dual-calculus model, Journal of Information Systems, 25, 197, 10.5859/KAIS.2016.25.3.197 Knijnenburg, 2013, Making decisions about privacy: Information disclosure in context-aware recommender systems, ACM Transactions on Interactive Intelligent Systems, 3, 20, 10.1145/2499670 Knijnenburg, 2012, Explaining the user experience of recommender systems, User Modeling and User-adapted Interaction, 22, 441, 10.1007/s11257-011-9118-4 Krasnova, 2010, Privacy calculus on social networking sites: Explorative evidence from Germany and USA, 1 Kumar, 2014, A survey on recommender systems (RSS) and its applications, International Journal of Innovative Research in Computer and Communication Engineering., 2, 5254 Li, 2012, Theories in online information privacy research: A critical review and an integrated framework, Decision Support Systems, 54, 471, 10.1016/j.dss.2012.06.010 Li, 2010, Understanding situational online information disclosure as a privacy calculus, Journal of Computer Information Systems, 51, 62 Li, 2012, Willing to pay for quality personalization & quest: Trade-off between quality and privacy, European Journal of Information Systems, 21, 621, 10.1057/ejis.2012.13 Lohr, 2010 Love, 2014, After building a powerful recommendation system for Netflix, this guy wants to help you find your next favorite book, Business Insider Malhotra, 2004, Internet users' information privacy concerns (IUIPC): The construct, the scale, and a causal model, Information Systems Research, 15, 336, 10.1287/isre.1040.0032 Meinert, 2006, Privacy policy statements and consumer willingness to provide personal information, Journal of Electronic Commerce in Organizations, 4, 1, 10.4018/jeco.2006010101 Park, 2013, A study on factors affecting the intention to use personal cloud service: Focused on the convergence model of TAM and PMT, Journal of Cybercommunication Academic Society, 30, 111 Phelps, 2000, Privacy concerns and consumer willingness to provide personal information, Journal of Public Policy and Marketing, 19, 27, 10.1509/jppm.19.1.27.16941 Pu, 2012, Evaluating recommender systems from the user's perspective: Survey of the state of the art, User Modeling and User-adapted Interaction, 22, 317, 10.1007/s11257-011-9115-7 Ricci, 2011, Introduction to recommender systems handbook, 1 Rogers, 1975, A protection motivation theory of fear appeals and attitude change, Journal of Psychology, 91, 93, 10.1080/00223980.1975.9915803 Rogers, 1983, Cognitive and physiological processes in fear appeals and attitude change: A revised theory of protection motivation, 153 Schafer, 2007, Collaborative filtering recommender systems, 291 Shin, 2017, Health experience model of personal informatics: The case of a quantified self, Computers in Human Behavior, 69, 62, 10.1016/j.chb.2016.12.019 Shin, 2014, Ambidextrous information search: Linking personal and impersonal search routines with individual performance, Information Technology and Management, 15, 291, 10.1007/s10799-014-0191-3 Tam, 2005, Web personalization as a persuasion strategy: An elaboration likelihood model perspective, Information Systems Research, 16, 271, 10.1287/isre.1050.0058 Trimble, 2015, Why online video is the future of content marketing, The Guardian Wong, 2013, Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS, Marketing Bulletin, 24, 1 Xie, 2006, Volunteering personal information on the internet: Effects of reputation, privacy notices, and rewards on online consumer behavior, Marketing Letters, 17, 61, 10.1007/s11002-006-4147-1 Xu, 2011, The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing, Decision Support Systems, 51, 42, 10.1016/j.dss.2010.11.017 Xu, 2009, The role of push-pull technology in privacy calculus: The case of location-based services, Journal of Management Information Systems, 26, 135, 10.2753/MIS0742-1222260305 Zhang, 2014, Privacy concerns in online recommender systems: Influences of control and user data input, 159 Zhao, 2012, Disclosure intention of location-related information in location-based social network services, International Journal of Electronic Commerce, 16, 53, 10.2753/JEC1086-4415160403