[
Aguirr, L. E., Mahr, F. D., Grewal, D., de Ruyter, J. C., and Wetzels, M. G. M. 2015. Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness. Journal of Retailing 91 (1): 34-49.
]Search in Google Scholar
[
Ajzen, I., and Fishbein, M. 1980. Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall.
]Search in Google Scholar
[
Awang, Z. 2014. A Handbook of SEM for Academicians and Practitioners. The Step by Step Practical Guides for the Beginners, MPWS Rich Publication, Bangi
]Search in Google Scholar
[
Baek, T. H., and Morimoto, M. 2012. Stay away from me. Journal of advertising 41 (1): 59-76.
]Search in Google Scholar
[
Baek, T.H., and Morimoto, M. 2012. Stay away from Me: Examining the Determinants of Consumer Avoidance of Personalized Advertising. Journal of Advertising 41: 59-76.
]Search in Google Scholar
[
Bentler, P.M. and Bonett, D.G. 1980. Significance tests and goodness of fit in the analysis of covariance structures. Psychological bulletin 88 (3): 588.
]Search in Google Scholar
[
Boerman, S. C., and Smit, E. G. 2023. Advertising and privacy: an overview of past research and a research agenda. International Journal of Advertising 42 (1): 60-68.
]Search in Google Scholar
[
Boerman, S., Kruikemeier, S., and Bol, N. 2021. When is personalized advertising crossing personal boundaries? How type of information, data sharing, and personalized pricing influence consumer perceptions of personalized advertising. Computers in Human Behavior Reports, 4.
]Search in Google Scholar
[
Bol, N., Kruikemeier, S., Boerman, S., Strycharz, J., de Vreese, C, Dienlin, T., Sax, M., and Helberger, N. 2018. Understanding the Effects of Personalization as a Privacy Calculus: Analyzing Self-Disclosure Across Health, News, and Commerce Contexts. Journal of Computer-Mediated Communication 23 (6): 370-388.
]Search in Google Scholar
[
Brinson, N. H., and Eastin, M. S. 2016. Juxtaposing the persuasion knowledge model and privacy paradox: An experimental look at advertising personalization, public policy and public understanding. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 10 (1).
]Search in Google Scholar
[
Burgoon, J. K. 1982. Privacy and Communication. Annals of the International Communication Association 6: 206-249.
]Search in Google Scholar
[
Culnan, M.J. and Armstrong, P.K. 1999. Information privacy concerns procedural fairness and impersonal trust: an empirical investigation. Organization Science 10 (1): 104–115.
]Search in Google Scholar
[
De Keyzer, F., van Noort, G., and Kruikemeier, S. 2022. Going too far? How consumers respond to personalized advertising from different sources. Journal of Electronic Commerce Research 23 (3): 138-159.
]Search in Google Scholar
[
Desimpelaere, L., Hudders, L., and Van de Sompel, D. 2021. Children’s perceptions of fairness in a data disclosure context: The effect of a reward on the relationship between privacy literacy and disclosure behavior. Telematics and Informatics 61: 101602.
]Search in Google Scholar
[
Dietrich, C. 2010. Decision Making: Factors that Influence Decision Making, Heuristics Used, and Decision Outcomes. Inquiries Journal 2: 3.
]Search in Google Scholar
[
Dijkstra, A. 2008. The Psychology of Tailoring-Ingredients in Computer-Tailored Persuasion. Social and Personality Psychology Compass 2: 765-784.
]Search in Google Scholar
[
Dijkstra, A. and Ballast, K. 2012. Personalization and perceived personal relevance in computer-tailored persuasion in smoking cessation. British Journal of Health Psychology 17 (1): 60-73.
]Search in Google Scholar
[
Dinev, T. and Hart, P. 2006. Privacy concerns and levels of information exchange: An empirical investigation of intended e-services use. E-Service 4 (3): 25-60.
]Search in Google Scholar
[
Dinev, T., Xu, H., Smith, J., and Hart, P. 2013. Information Privacy and Correlates: An Empirical Attempt to Bridge and Distinguish Privacy-Related Concepts. European Journal of Information Systems 22: 295-316.
]Search in Google Scholar
[
Ducoffe, R.H. 1995. How Consumers Assess the Value of Advertising. Journal of Current Issues & Research in Advertising 17 (1): 1-18.
]Search in Google Scholar
[
Eisend, M., and Tarrahi, F. 2022. Persuasion knowledge in the marketplace: A meta-analysis. Journal of Consumer Psychology 32 (1): 3-22.
]Search in Google Scholar
[
Fabrigar, L.R., Wegener, D.T., MacCallum, R.C. and Strahan, E.J. 1999. Evaluating the use of exploratory factor analysis in psychological research. Psychological methods 4 (3): 272.
]Search in Google Scholar
[
Fornell, C., and Larcker, D.F. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18 (1): 39-50.
]Search in Google Scholar
[
Frick, T. W., and Li, T. 2016. Personalization in social retargeting - A field experiment. 2016 International Conference on Information Systems, ICIS 2016.
]Search in Google Scholar
[
Gironda, J.T., and Korgaonkar, P.K. 2018. iSpy? Tailored versus invasive ads and consumers’ perceptions of personalized advertising. Electronic Commerce Research and Applications 29: 64-77.
]Search in Google Scholar
[
Hair, J.F. Jr., Anderson, R.E., Tatham, R.L., and Black, W.C. 2006. Multivariate Data Analysis (6th ed.). New Jersey. Prentice-Hall.
]Search in Google Scholar
[
Ham, C.D. 2017. Exploring how consumers cope with online behavioral advertising. International Journal of Advertising 36 (4): 632-658.
]Search in Google Scholar
[
Hayes, A.F. 2017. Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Publications.
]Search in Google Scholar
[
Hoffman, D., Novak, T., and Peralta, M. 1998. Information Privacy in the Marketspace: Implications for the Commercial Uses of Anonymity on the Web. The Information Society 15.
]Search in Google Scholar
[
Hu, L.T., and Bentler, P.M. 1999. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal 6 (1): 1-55.
]Search in Google Scholar
[
Karwatzki, S., Dytynko, O., and Veit, D. 2017. The Influence of Privacy Dispositions on Perceptions of Information Transparency and Personalization Preferences. Hawaii International Conference on System Sciences.
]Search in Google Scholar
[
Kehr, F., Kowatsch, T., Wentzel, D., and Fleisch, E. 2015. Blissfully ignorant: the effects of general privacy concerns, general institutional trust, and affect in the privacy calculus. Information Systems Journal 25 (6): 607-635.
]Search in Google Scholar
[
Kehr, F., Wentzel, D., and Mayer, P. 2013. Rethinking the privacy calculus: on the role of dispositional factors and affect.
]Search in Google Scholar
[
Kline, P. 2015. A handbook of test construction (psychology revivals): introduction to psychometric design. Routledge.
]Search in Google Scholar
[
Knijnenburg, B., Raybourn, E., Cherry, D., Wilkinson, D., Sivakumar, S., and Sloan, H. 2017. Death to the Privacy Calculus?
]Search in Google Scholar
[
Kronemann, B., Kizgin, H., Rana, N., and K. Dwivedi, Y. 2023. How AI encourages consumers to share their secrets? The role of anthropomorphism, personalisation, and privacy concerns and avenues for future research. Spanish Journal of Marketing 27 (1): 3-19.
]Search in Google Scholar
[
Kurtz, O.T., Wirtz, B.W., and Langer, P.F. 2021. An empirical analysis of location-based mobile advertising— Determinants, success factors, and moderating effects. Journal of Interactive Marketing 54 (1): 69-85
]Search in Google Scholar
[
Lee, C.H., and Cranage, D.A. 2011. Personalisation-privacy paradox: the effects of personalisation and privacy assurance on customer responses to travel web sites. Tourism Management 32: 987-994.
]Search in Google Scholar
[
Lee, D.H., Im, S. and Taylor, C.R. 2008. Voluntary self-disclosure of information on the Internet: A multimethod study of the motivations and consequences of disclosing information on blogs. Psychology & Marketing 25 (7): 692-710.
]Search in Google Scholar
[
Lee, D.J., Ahn, J.H. and Bang, Y. 2011. Managing consumer privacy concerns in personalization: a strategic analysis of privacy protection. Mis Quarterly 423-444.
]Search in Google Scholar
[
Lee, J., Kim, S., and Ham, C.D. 2016. A double-edged sword? Predicting consumers’ attitudes toward and sharing intention of native advertising on social media. American Behavioral Scientist 60 (12): 1425-1441.
]Search in Google Scholar
[
Li, H., and Nill, A. 2020. Online Behavioral Targeting: Are Knowledgeable Consumers Willing to Sell Their Privacy? Journal of Consumer Policy 43: 723-745.
]Search in Google Scholar
[
Li, P., Cho, H. and Goh, Z.H. 2019. Unpacking the process of privacy management and self-disclosure from the perspectives of regulatory focus and privacy calculus. Telematics and Informatics 41: 114-125.
]Search in Google Scholar
[
Lin, C.A., and Kim, T. 2016. Predicting user response to sponsored advertising on social media via the technology acceptance model. Computers in Human Behavior 64: 710-718.
]Search in Google Scholar
[
Lwin, M., and Williams, J. 2003. A Model Integrating the Multidimensional Developmental Theory of Privacy and Theory of Planned Behavior to Examine Fabrication of Information Online. Marketing Letters 14: 257-272.
]Search in Google Scholar
[
Matic, A., Pielot, M., and Oliver, N. 2017. “OMG! How did it know that?”: Reactions to Highly-Personalized Ads. Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization 41-46.
]Search in Google Scholar
[
McKnight, D. H., and Chervany, N. L. 2002. What trust means in E-commerce customer relationships: An interdisciplinary conceptual typology. International Journal of Electronic Commerce 6 (2): 35–59.
]Search in Google Scholar
[
Meyer, C., and Schwager, A. 2007. Understanding customer experience. Harvard Business Review 85 (2): 116.
]Search in Google Scholar
[
Miltgen, C. L., Cases, A. S., and Russell, C. A. 2019. Consumers’ responses to facebook advertising across PCs and mobile phones: A model for assessing the drivers of approach and avoidance of facebook ads. Journal of Advertising Research 59 (4): 414-432.
]Search in Google Scholar
[
Miltgen, C.L., Cases, A.S., and Russell, C.A. 2019. Consumers’ responses to facebook advertising across PCs and mobile phones: A model for assessing the drivers of approach and avoidance of facebook ads. Journal of Advertising Research 59 (4): 414-432.
]Search in Google Scholar
[
Montgomery, K., Chester, J., Nixon, L., Levy, L. and Dorfman, L. 2019. Big Data and the transformation of food and beverage marketing: undermining efforts to reduce obesity?. Critical Public Health 29 (1): 110-117.
]Search in Google Scholar
[
Morimoto, M. 2017. Information contents in Japanese OTC drug advertising from elaboration likelihood model perspective: content analysis of TV commercials and OTC drug websites. Journal of Promotion Management 23 (4): 575-591.
]Search in Google Scholar
[
Morimoto, M. 2021. Privacy concerns about personalized advertising across multiple social media platforms in Japan: The relationship with information control and persuasion knowledge. International Journal of Advertising 40 (3): 431-451.
]Search in Google Scholar
[
Mpinganjira, M., and Maduku, D.K. 2019. Ethics of mobile behavioral advertising: Antecedents and outcomes of perceived ethical value of advertised brands. Journal of Business Research 95: 464-478.
]Search in Google Scholar
[
Okazaki, S., Li, H., and Hirose, M. 2009. Consumer privacy concerns and preference for degree of regulatory control. Journal of Advertising 38 (4): 63-77.
]Search in Google Scholar
[
Paschal, J.L., Stone, D.L., and Stone-Romero, E.F. 2009. Effects of electronic mail policies on invasiveness and fairness. Journal of Managerial Psychology 24 (6): 502-525.
]Search in Google Scholar
[
Phelps, J., D’Souza, G., and Nowak, G. 2001. Antecedents and consequences of consumer privacy concerns: An empirical investigation. Journal of Interactive Marketing 15 (4): 2-17.
]Search in Google Scholar
[
Piao, C., Li, X., Pan, X., and Zhang, C. 2016. User privacy protection for a mobile commerce alliance. Electron. Commer. Res. Appl. 18: 58-70.
]Search in Google Scholar
[
Sheehan, K.B. and Hoy, M.G. 1999. Flaming, complaining, abstaining: How online users respond to privacy concerns. Journal of Advertising 28 (3): 37-51.
]Search in Google Scholar
[
Shevlin, M. and Miles, J.N. 1998. Effects of sample size, model specification and factor loadings on the GFI in confirmatory factor analysis. Personality and Individual Differences 25 (1): 85-90.
]Search in Google Scholar
[
Srinivasan, S.S., Anderson, R., and Ponnavolu, K. 2002. Customer loyalty in e-commerce: an exploration of its antecedents and consequences. Journal of Retailing 78 (1): 41-50.
]Search in Google Scholar
[
Steenkamp, J.B.E., and Baumgartner, H. 1998. Assessing measurement invariance in cross-national consumer research. Journal of Consumer Research 25 (1): 78-90.
]Search in Google Scholar
[
Steiger, J.H. 2007. Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences 42 (5): 893-898.
]Search in Google Scholar
[
Sun, Y., Wang, N., and Shen, X.L. 2021. Calculus interdependency, personality contingency, and causal asymmetry: Toward a configurational privacy calculus model of information disclosure. Information & Management 58 (8): 103556.
]Search in Google Scholar
[
Tabachnick, B.G., and Fidell, L.S. 2007. Experimental designs using ANOVA. Belmont, CA: Thomson/Brooks/Cole 74
]Search in Google Scholar
[
Taddicken, M. 2014. The ‘privacy paradox’in the social web: The impact of privacy concerns, individual characteristics, and the perceived social relevance on different forms of self-disclosure. Journal of Computer-Mediated Communication 19 (2): 248-273.
]Search in Google Scholar
[
Taj, S.A. 2016. Application of signaling theory in management research: Addressing major gaps in theory. European Management Journal 34 (4): 338-348.
]Search in Google Scholar
[
Taylor, D.G., Lewin, J.E. and Strutton, D. 2011. Friends, fans, and followers: do ads work on social networks? how gender and age shape receptivity. Journal of Advertising Research 51(1): 258-275.
]Search in Google Scholar
[
Tepper, B.J., and Braun, C.K. 1995. Does the experience of organizational justice mitigate the invasion of privacy engendered by random drug testing? An empirical investigation. Basic and Applied Social Psychology 16 (1-2): 211-225.
]Search in Google Scholar
[
Thibodeaux, H.F., and Kudisch, J.D. 2003. The relationship between applicant reactions, the likelihood of complaints, and organization attractiveness. Journal of Business and Psychology 18: 247-257.
]Search in Google Scholar
[
Tucker, C.E. 2014. Social networks, personalized advertising, and privacy controls. Journal of Marketing Research 51 (5): 546–56.
]Search in Google Scholar
[
Urban, G., Amyx, C., and Lorenzon, A. 2009. Online Trust: State of the Art, New Frontiers, and Research Potential. Journal of Interactive Marketing 23: 179-190.
]Search in Google Scholar
[
Van Doorn, J., and Hoekstra, J. C. 2013. Customization of online advertising: The role of intrusiveness. Marketing Letters 24: 339-351.
]Search in Google Scholar
[
Venkatesh, V., Morris, M.G., Davis, G.B., and Davis, F.D. 2003. User acceptance of information technology: Toward a unified view MIS quarterly: 425-478.
]Search in Google Scholar
[
Wang, L., Hu, H.H., Yan, J., and Mei, M.Q. 2020. Privacy calculus or heuristic cues? The dual process of privacy decision making on Chinese social media. Journal of Enterprise Information Management 33 (2): 353-380.
]Search in Google Scholar
[
White, T. B., Zahay, D. L., Thorbjørnsen, H., and Shavitt, S. 2008. Getting too personal: Reactance to highly personalized email solicitations. Marketing Letters 19: 39-50.
]Search in Google Scholar
[
Wieczorkowski, J., and Polak, P. 2017. Big data and privacy: The study of privacy invasion acceptance in the world of big data. Online Journal of Applied Knowledge Management 5: 57-71.
]Search in Google Scholar
[
Wilson, D.W. and Valacich, J. 2012. Unpacking the Privacy Paradox: Irrational Decision-Making within the Privacy Calculus. International Conference on Information Systems, ICIS 2012 5: 4152-4162.
]Search in Google Scholar
[
Xu, D.J. 2006. The influence of personalization in affecting consumer attitudes toward mobile advertising in China. Journal of Computer Information System 47(2): 9-19.
]Search in Google Scholar
[
Xu, H., Dinev, T., Smith, H.J., and Hart, P. 2011. Information privacy concerns: linking individual perceptions with institutional privacy assurances. Journal of the Association for Information Systems 12 (12): 798–824.
]Search in Google Scholar
[
Xu, Z., and Zhou, Y. 2013. Relevance Theory and Its Application to Advertising Interpretation. Theory and Practice in Language Studies 3 (3): 492-496.
]Search in Google Scholar
[
Zhao, W., and Othman, M.N. 2011. Predicting and explaining complaint intention and behaviour of Malaysian consumers: an application of the planned behaviour theory. International Marketing 21: 229-252
]Search in Google Scholar
[
Zhu, Y.Q., and Chang, J.H. 2016. The key role of relevance in personalized advertisement: Examining its impact on perceptions of privacy invasion, self-awareness, and continuous use intentions. Computers in Human Behavior 65: 442-447.
]Search in Google Scholar
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