The role of mobile-computing self-efficacy in consumer information disclosure

Information Systems Journal

Volumn 25, Issue 6, 2015, Pages 637-667

  Keith, Mark J ^a   Babb, Jeffry S ^b   Lowry, Paul Benjamin ^c   Furner, Christopher P ^d   Abdullat, Amjad ^b  

^a BRIGHAM YOUNG UNIVERSITY   (United States)

^b WEST TEXAS A AND M UNIVERSITY   (United States)

^c CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^d EAST CAROLINA UNIVERSITY   (United States)

Author keywords

Location based services; Mobile apps; Mobile computing self efficacy; Perceived risk; Privacy calculus; Trust

Indexed keywords

CALCULATIONS; COMPUTATION THEORY; ECONOMIC AND SOCIAL EFFECTS; LOCATION; LOCATION BASED SERVICES; MOBILE COMPUTING; SMARTPHONES; TELECOMMUNICATION SERVICES;

CONSUMER INFORMATION; CONTROLLED EXPERIMENT; INFORMATION DISCLOSURE; MOBILE APPS; PERCEIVED RISK; SELF EFFICACY; SOCIAL COGNITIVE THEORY; TRUST;

MOBILE COMMERCE;

EID: 84943580872     PISSN: 13501917     EISSN: 13652575     Source Type: Journal    
DOI: 10.1111/isj.12082     Document Type: Article

References (124)

1. 148apps (2012) App store metrics. Retrieved date: October 4, 2012, URL: http://148apps.biz/app-store-metrics/?mpage=appprice
2. Acquisti, A. & Grossklags, J. (2003) Losses, gains, and hyperbolic discounting: an experimental approach to information security attitudes and behavior. In: UC Berkeley 2nd Annual Workshop on Economics and Information Security, pp. 1-27. Berkeley, CA.
3. Acquisti, A. & Grossklags, J. (2004) Privacy attitudes and privacy behavior. In: Economics of Information Security. Vol. 12, Camp, L. & Lewis, S. (eds.), pp. 165-178. Springer: US.
4. Acquisti, A. & Grossklags, J. (2005) Privacy and rationality in individual decision making. IEEE Security & Privacy, 3, 26-33.
5. Agarwal, R., Sambamurthy, V. & Stair, R.M. (2000) Research report: the evolving relationship between general and specific computer self-efficacy: an empirical assessment. Information Systems Research, 11, 418.
6. Ajzen, I. (1991) The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
7. Angwin, J. & Valentino-Devries, J. (2011) Apple, Google collect user data. Retrieved date: May 31, 2011, url: http://online.wsj.com/article/SB10001424052748703983704576277101723453610.html
8. Aspinwall, L., Sechrist, G. & Jones, P. (2005) Expect the best and prepare for the worst: anticipatory coping and preparations for Y2K. Motivation and Emotion, 29, 353-384.
9. Awad, N. & Ragowsky, A. (2008) Establishing trust in electronic commerce through online word of mouth: an examination across genders. Journal of Management Information Systems, 24, 101-121.
10. Ba, S.L. & Pavlou, P.A. (2002) Evidence of the effect of trust building technology in electronic markets: price premiums and buyer behavior. MIS Quarterly, 26, 243-268.
11. Bandura, A. (1977a) Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84, 191-215.
12. Bandura, A. (1977b) Social Learning Theory. General Learning Press, New York, New York, USA.
13. Bandura, A. (1977c) Toward a unifying theory of behavior change. Psychological Review, 84, 191-215.
14. Bandura, A. (1982) Self-efficacy mechanism in human agency. American Psychologist, 37, 122-147.
15. Bandura, A. (1986) Social Foundations of Thought and Action. Prentice Hall, Englewood Cliffs, NJ.
16. Bandura, A. (1991) Social cognitive theory of self-regulation. Organizational Behavior and Human Decision Processes, 50, 248-287.
17. Bandura, A. (2002) Social cognitive theory in cultural context. Applied Psychology, 51, 269-290.
18. Belanger, F. & Crossler, R.E. (2011) Privacy in the digital age: a review of information privacy research in information systems. MIS Quarterly, 35, 1017-1041.
19. Bélanger, F., Hiller, J.S. & Smith, W.J. (2002) Trustworthiness in electronic commerce: the role of privacy, security, and site attributes. Journal of Strategic Information Systems, 11, 245-270.
20. Bernstein, N.A. (1996) Dexterity and Its Development. Lawrence Erlbaum Associates, Mahwah, NJ.
21. Brandimarte, L., Acquisti, A. & Loewenstein, G. (2013) Misplaced confidences privacy and the control paradox. Social Psychological and Personality Science, 4, 340-347.
22. Brandimarte, L., Acquisti, A., Loewenstein, G. & Babcock, L. (2009) Privacy concerns and information disclosure: an illusion of control hypothesis.
23. Carver, C.S., Scheier, M.F. & Weintraub, J.K. (1989) Assessing coping strategies: a theoretically based approach. Journal of Personality and Social Psychology, 56, 267-283.
24. Chae, M. & Kim, J. (2004) Do size and structure matter to mobile users? An empirical study of the effects of screen size, information structure, and task complexity on user activities with standard web phones. Behaviour and Information Technology, 23, 165-181.
25. Chin, W.W., Marcolin, B.L. & Newsted, P.R. (2003) A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14, 189-217.
26. Compeau, D., Higgins, C.A. & Huff, S. (1999) Social cognitive theory and individual reactions to computing technology: a longitudinal study. MIS Quarterly, 23, 145-158.
27. Compeau, D.R. & Higgins, C.A. (1995a) Application of social cognitive theory to training for computer skills. Information Systems Research, 6, 118-143.
28. Compeau, D.R. & Higgins, C.A. (1995b) Computer self-efficacy: development of a measure and initial test. MIS Quarterly, 19, 189-211.
29. Csikszentmihalyi, M. (1977) Beyond Boredom and Anxiety. Jossey-Bass, San Francisco, CA.
30. Culnan, M.J. (1993) How did they get my name? An exploratory investigation of consumer attitudes toward secondary information use. MIS Quarterly, 17, 341-361.
31. Dediu, H. (2014) Late late majority. Retrieved date: July 8, 2014, URL: http://www.asymco.com/2014/07/08/late-late-majority/
32. Dinev, T., Bellotto, M., Hart, P., Russo, V., Serra, I. & Colautti, C. (2006) Privacy calculus model in e-commerce - a study of Italy and the United States. European Journal of Information Systems, 15, 389-402.
33. Dinev, T. & Hart, P. (2006) An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17, 61-80.
34. Dinev, T., Xu, H., Smith, J.H. & 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.
35. Enck, W., Gilbert, P., Chun, B.-G., Cox, L., Jung, J., McDaniel, P. & Sheth, A. (2010a) TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones. Proceedings of OSDI 2010, pp., Vancouver, BC, Canada.
36. Enck, W., Gilbert, P., Chun, B.-G., Cox, L., Jung, J., McDaniel, P. & Sheth, A. (2010b) TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones. Proceedings of OSDI 2010, pp. 1-15. Vancouver, BC, Canada.
37. Farago, P. (2012) China now leads the world in new iOS and Android device activations. In: China Now Leads the World in New iOS and Android Device Activations, Vol. 2012 (ed. Flurry), pp. Flurry.
38. Fife, E. & Orjuela, J. (2012) The privacy calculus: mobile apps and user perceptions of privacy and security. International Journal of Engineering Business Management, 5, 7.
39. Forman, C., Ghose, A. & Wiesenfeld, B. (2008) Examining the relationship between reviews and sales: the role of reviewer identity disclosure in electronic markets. Information Systems Research, 19, 291-313.
40. Fornell, C. & Bookstein, F.L. (1982) Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19, 440-452.
41. Friedman, B., Peter, H., Khan, J. & Howe, D.C. (2000) Trust online. Communications of the ACM, 43, 34-40.
42. Friedman, M. (1998) Coping with consumer fraud: the need for a paradigm shift. Journal of Consumer Affairs, 32, 1-12.
43. Gefen, D., Karahanna, E. & Straub, D.W. (2003) Trust and TAM in online shopping: an integrated model. MIS Quarterly, 27, 51-90.
44. Gefen, D., Straub, D. & Boudreau, M.-C. (2000) Structural equation modeling and regression: guidelines for research practice. Communications of the AIS, 4, 1-78.
45. Gefen, D. & Straub, D.W. (2005) A practical guide to factorial validity using PLS-graph: tutorial and annotated example. Communications of the AIS, 16, 91-109.
46. Gingrich, A. (2011) The mother of all Android malware has arrived: stolen apps released to the market that root your phone, steal your data, open backdoor. Retrieved date: May 20, 2011, URL: http://www.androidpolice.com/2011/03/01/the-mother-of-all-android-malware-has-arrived-stolen-apps-released-to-the-market-that-root-your-phone-steal-your-data-and-open-backdoor/
47. Goel, S. & Karri, R. (2006) Entrepreneurs, effectual logic, and over-trust. Entrepreneurship: Theory and Practice, 30, 477-493.
48. Grace, G.D. & Schill, T. (1986) Social support and coping style differences in subjects high and low in interpersonal trust. Psychological Reports, 59, 584-586.
49. Grazioli, S. & Jarvenpaa, S.L. (2003) Consumer and business deception on the Internet: content analysis of documentary evidence. International Journal of Electronic Commerce, 7, 93-118.
50. Grillon, C., Baas, J.P., Lissek, S., Smith, K. & Milstein, J. (2004) Anxious responses to predictable and unpredictable aversive events. Behavioral Neuroscience, 118, 916-924.
51. Hardin, A. M., Chang, J. C.-J. & Fuller, M. A. (2008) Formative vs. reflective measurement: comment on Marakas, Johnson, and Clay (2007). Journal of the Association for Information Systems, 9, 519-534.
52. Hauser, R., Paul, R. & Bradley, J. (2012) Computer self-efficacy, anxiety, and learning in online versus face to face medium. Journal of Information Technology Education: Research, 11, 141-154.
53. Heath, C. & Tversky, A. (1991) Preference and belief: ambiguity and competence in choice under uncertainty. Journal of Risk and Uncertainty, 4, 5-28.
54. Herath, T., Chen, R., Wang, J., Banjara, K., Wilbur, J. & Rao, H.R. (2014) Security services as coping mechanisms: an investigation into user intention to adopt an email authentication service. Information Systems Journal, 24, 61-84.
55. Hilary, G. & Menzly, L. (2006) Does past success lead analysts to become overconfident? Management Science, 52, 489-500.
56. Hsu, M.-H. & Chiu, C.-m. (2004) Internet self-efficacy and electronic service acceptance. Decision Support Systems, 38, 369-381.
57. Hsu, M.H., Ju, T.L., Yen, C.H. & Chang, C.M. (2007) Knowledge sharing behavior in virtual communities: the relationship between trust, self-efficacy, and outcome expectations. International Journal of Human-Computer Studies, 65, 153-169.
58. Hui, K.L., Teo, H.H. & Lee, S.Y.T. (2007) The value of privacy assurance: an exploratory field experiment. MIS Quarterly, 31, 19-33.
59. IDG (2010) Worldwide and U.S. mobile applications, storefronts, and developer 2010-2014 forecasts and year-end 2010 vendor market shares: the 'appification' of everything. Retrieved date: URL: http://www.idg.com/www/pr.nsf/0/1280307E4BE966E8852577F8004FA500
60. Junglas, I.A., Johnson, N.A. & Spitzmuller, C. (2008) Personality traits and concern for privacy: an empirical study in the context of location-based services. European Journal of Information Systems, 17, 387-402.
61. Kalichman, S.C. & Nachimson, D. (1999) Self-efficacy and disclosure of HIV-positive serostatus to sex partners. Health Psychology, 18, 281.
62. Keith, M. J., Babb, J. S., Furner, C. P. & Abdullat, A. (2010) Privacy assurance and network effects in the adoption of location-based services: an iPhone experiment. In: Proceedings of the International Conference on Information Systems (ICIS 2010), pp. paper 237. St. Louis, MI.
63. Keith, M.J., Thompson, S.C., Hale, J., Benjamin Lowry, P. & Greer, C. (2013) Information disclosure on mobile devices: re-examining privacy calculus with actual user behavior. International Journal of Human-Computer Studies, 71, 1163-1173.
64. Kim, D. (2008) Self-perception-based versus transference-based trust determinants in computer-mediated transactions: a cross-cultural comparison study. Journal of Management Information Systems, 24, 13-45.
65. Kim, D.J., Ferrin, D.L. & Rao, H.R. (2008) A trust-based consumer decision-making model in electronic commerce: the role of trust, perceived risk, and their antecedents. Decision Support Systems, 44, 544-564.
66. Kim, Y. H. & Kim, D. J. (2005) A study of online transaction self-efficacy, consumer trust, and uncertainty reduction in electronic commerce transaction. System Sciences, 2005. HICSS'05. Proceedings of the 38th Annual Hawaii International Conference on, pp. 170c-170c. IEEE.
67. Komiak, S.Y.X. & Benbasat, I. (2006) The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Quarterly, 30, 941-960.
68. Krasnova, H., Spiekermann, S., Koroleva, K. & Hildebrand, T. (2010) Online social networks: why we disclose. Journal of Information Technology, 25, 109-125.
69. Krohne, H.W. (1989) The concept of coping modes: relating cognitive person variables to actual coping behavior. Advances in Behaviour Research and Therapy, 11, 235-248.
70. Krueger, N. & Dickson, P.R. (1994) How believing in ourselves increases risk taking: perceived self-efficacy and opportunity recognition. Decision Sciences, 25, 385-400.
71. Laufer, R.S. & Wolfe, M. (1977) Privacy as a concept and a social issue: a multidimensional developmental theory. Journal of Social Issues, 33, 22-42.
72. Lending, D. & Dillon, T.W. (2007) The effects of confidentiality on nursing self-efficacy with information systems. International Journal of Healthcare Information Systems and Informatics, 2, 49-64.
73. Li, X., Hess, T.J. & Valacich, J.S. (2008) Why do we trust new technology? A study of initial trust formation with organizational information systems. The Journal of Strategic Information Systems, 17, 39-71.
74. Li, Y. (2012) Theories in online information privacy research: a critical review and an integrated framework. Decision Support Systems, 54, 471-481.
75. Lowry, P.B., Cao, J. & Everard, A. (2011) Privacy concerns versus desire for interpersonal awareness in driving the use of self-disclosure technologies: the case of instant messaging in two cultures. Journal of Management Information Systems, 27, 165-204.
76. Lowry, P.B. & Gaskin, J. (2014) Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: when to choose it and how to use it. IEEE Transactions on Professional Communication, 57, 123-146.
77. Lowry, P.B., Moody, G., Vance, A., Jensen, M., Jenkins, J.L. & Wells, T. (2012) Using an elaboration likelihood approach to better understand the persuasiveness of website privacy assurance cues for online consumers. Journal of the American Society for Information Science and Technology, 63, 755-766.
78. Lowry, P.B., Romano, N.C., Jenkins, J.L. & Guthrie, R.W. (2009) The CMC interactivity model: how interactivity enhances communication quality and process satisfaction in lean-media groups. Journal of Management Information Systems, 26, 159-200.
79. Lowry, P.B., Vance, A., Moody, G., Beckman, B. & Read, A. (2008) Explaining and predicting the impact of branding alliances and web site quality on initial consumer trust of e-commerce web sites. Journal of Management Information Systems, 24, 201-227.
80. Lowry, P.B., Wilson, D.W. & Haig, W.L. (2014) A picture is worth a thousand words: source credibility theory applied to logo and website design for heightened credibility and consumer trust. International Journal of Human-Computer Interaction, 30, 63-93.
81. Luo, X., Li, H., Zhang, J. & Shim, J.P. (2010) Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: an empirical study of mobile banking services. Decision Support Systems, 49, 222-234.
82. Madhavan, P. & Phillips, R.R. (2010) Effects of computer self-efficacy and system reliability on user interaction with decision support systems. Computers in Human Behavior, 26, 199-204.
83. Marakas, G.M., Johnson, R.D. & Clay, P.F. (2007) The evolving nature of the computer self-efficacy construct: an empirical investigation of measurement construction, validity, reliability and stability over time. Journal of the Association for Information Systems, 8, 15-46.
84. Marakas, G.M., Yi, M.Y. & Johnson, R.D. (1998) The multilevel and multifaceted character of computer self-efficacy: toward clarification of the construct and an integrative framework for research. Information Systems Research, 9, 126-163.
85. Mathieson, K. (1991) Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2, 173-191.
86. McKnight, D.H., Choudhury, V. & Kacmar, C. (2002) Developing and validating trust measures for e-commerce: an integrative typology. Information Systems Research, 13, 334-359.
87. Milne, G.R., Labrecque, L.I. & Cromer, C. (2009) Toward an understanding of the online consumer's risky behavior and protection practices. Journal of Consumer Affairs, 43, 449-473.
88. Mogg, K., Holmes, A., Garner, M. & Bradley, B.P. (2008) Effects of threat cues on attentional shifting, disengagement and response slowing in anxious individuals. Behaviour Research and Therapy, 46, 656-667.
89. Moody, G.D., Galletta, D.F. & Lowry, P.B. (2014) When trust and distrust collide: the engendering and role of ambivalence in online consumer behavior. Electronic Commerce Research and Applications, 13, 266-282.
90. Moores, T.T. & Chang, J.C.-J. (2009) Self-efficacy, overconfidence, and the negative effect on subsequent performance: a field study. Information & Management, 46, 69-76.
91. Nisbett, R.E. & Wilson, T.D. (1977) Telling more than we can know: verbal reports on mental processes. Psychological Review, 84, 231-258.
92. Passyn, K. & Sujan, M. (2006) Self-accountability emotions and fear appeals: motivating behavior. Journal of Consumer Research, 32, 583-589.
93. Pavlou, P.A. (2002) Institution-based trust in interorganizational exchange relationships: the role of online B2B marketplaces on trust formation. The Journal of Strategic Information Systems, 11, 215-243.
94. Pavlou, P.A. & Fygenson, M. (2006) Understanding and predicting electronic commerce adoption: an extension of the theory of planned behavior. MIS Quarterly, 30, 115-143.
95. Pavlou, P.A. & Gefen, D. (2004) Building effective online marketplaces with institution-based trust. Information Systems Research, 15, 37-59.
96. Pedersen, E.P. (2005) Adoption of mobile internet services: an exploratory study of mobile commerce early adopters. Journal of Organizational Computing and Electronic Commerce, 15, 203-222.
97. Pitt, L.F., Parent, M., Junglas, I., Chan, A. & Spyropoulou, S. (2011) Integrating the smartphone into a sound environmental information systems strategy: principles, practices and a research agenda. The Journal of Strategic Information Systems, 20, 27-37.
98. Rainie, L. (2010) Internet, Broadband, and Cell Phone Statistics. Pew Research Center, pp. Pew Internet & American Life Project, In.
99. Reed, M. (2011) The surprise behind the mobile app numbers. Huffington Post, Retrieved date: July 15, 2011, URL: http://www.huffingtonpost.com/morgan-reed/the-surprise-behind-the-m_b_895397.html
100. Ringle, C. M., Wende, S. & Will, S. (2005) SmartPLS 2.0 (M3) Beta. Retrieved date: October 30, 2010, url: http://www.smartpls.de.
101. Rogers, E.M. (1962) Diffusion of Innovations. Free Press, Glencoe.
102. Sadka, G. (2006) The economic consequences of accounting fraud in product markets: theory and a case from the U.S. telecommunications industry (WorldCom). American Law and Economics Review, 8, 439-475.
103. Schweitzer, M.E., Hershey, J.C. & Bradlow, E.T. (2006) Promises and lies: restoring violated trust. Organizational Behavior and Human Decision Processes, 101, 1-19.
104. Security, L. M. (2011) App genome report. In: App Genome Report - February 2011, Vol. 2011, pp. Lookout Mobile Security.
105. Serino, C. M., Furner, C. P. & Smatt, C. (2005) Making it personal: how personalization affects trust over time. Hawaiian International Conference on System Sciences, pp. IEEE, Waikaloa, HI.
106. Seriot, N. (2010) iPhone privacy. Black Hat DC 2010, pp. 30. Black Hat, January 3, Arlington, VA, USA.
107. Smith, A. (2012) Nearly half of American adults are smartphone owners. Pew Research, Retrieved date: url:
108. Smith, H.J., Milberg, S.J. & Burke, S.J. (1996) Information privacy: measuring individual's concerns about organizational practices. MIS Quarterly, 20, 167-196.
109. Straub, D.W., Boudreau, M.C. & Gefen, D. (2004) Validation guidelines for IS positivist research. Communications of the AIS, 14, 380-426.
110. Ter Huurne, E. & Gutteling, J. (2008) Information needs and risk perception as predictors of risk information seeking. Journal of Risk Research, 11, 847-862.
111. ter Huurne, E.F.J. & Gutteling, J.M. (2009) How to trust? The importance of self-efficacy and social trust in public responses to industrial risks. Journal of Risk Research, 12, 809-824.
112. Thompson, R., Compeau, D.R. & Higgins, C. (2006) Intentions to use information technologies: an integrative model. Journal of Organizational and End User Computing, 18, 25-46.
113. Vance, A., Elie-Dit-Cosaque, C. & Straub, D.W. (2008) Examining trust in information technology artifacts: the effects of system quality and culture. Journal of Management Information Systems, 24, 73-100.
114. Venkatesh, V. & Bala, H. (2008) Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39, 273-315.
115. Venkatesh, V. & Davis, F.D. (2000) A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46, 186-204.
116. Venkatesh, V., Morris, M.G., Davis, G.B. & Davis, F.D. (2003) User acceptance of information technology: toward a unified view. MIS Quarterly, 27, 425-478.
117. Viosca, R.C. Jr., Bergiel, B.J. & Balsmeier, P. (2004) Effects of the electronic Nigerian money fraud on the brand equity of Nigeria and Africa. Management Research News, 27, 11-20.
118. Wang, E.T.G., Ju, P.-H., Jiang, J.J. & Klein, G. (2008) The effects of change control and management review on software flexibility and project performance. Information & Management, 45, 438-433.
119. Wang, W.Q. & Benbasat, I. (2005) Trust in and adoption of online recommendation agents. Journal of the Association for Information Systems, 6, 72-101.
120. Wang, W.Q. & Benbasat, I. (2007) Recommendation agents for electronic commerce: effects of explanation facilities on trusting beliefs. Journal of Management Information Systems, 23, 217-246.
121. Wang, Y.-S., Lin, H.-H. & Luarn, P. (2006) Predicting consumer intention to use mobile service. Information Systems Journal, 16, 157-179.
122. Wei, M., Russell, D.W. & Zakalik, R.A. (2005) Adult attachment, social self-efficacy, self-disclosure, loneliness, and subsequent depression for freshman college students: a longitudinal study. Journal of Counseling Psychology, 52, 602.
123. Xu, H. (2010) Locus of control and location privacy: an empirical study in Singapore. Journal of Global Information Technology Management, 13, 63-87.
124. Xu, H., Teo, H.H., Tan, B.C.Y. & Agarwal, R. (2010) The role of push-pull technology in privacy calculus: the case of location-based services. Journal of Management Information Systems, 26, 135-173.