Trade off Cybersecurity Concerns for Co-Created Value

References

• Hu T, Wang H. Social media usage as a service: a service-dominant logic perspective. Lecture Notes Comput Sci. 2015;9391:88–99.
   Google Scholar
• Sundararajan A, Provost F, Oestreicher-Singer G, Aral S. Information in digital, economic, and social media. Inf Syst Res. 2013;24(4):883–905. doi:10.1287/isre.1120.0472.
   Web of Science ®Google Scholar
• Bessette C. Fortune 500: The top companies using social media. June 2, 2014. http://fortune.com/2014/06/02/500-social-media/
   Google Scholar
• Baethge C, Klier J, Klier M. Social commerce: state-of-the-art and future research directions. Electron Markets. 2016;26(3):269–90. doi:10.1007/s12525-016-0225-2.
   Web of Science ®Google Scholar
• Stieger S, Burger C, Bohn M, Voracek M. Who commits virtual identity suicide? Differences in privacy concerns, internet addiction, and personality between Facebook users and quitters. Cyberpsychology, Behavior, Social Networking. 2013;16(9):629–34. doi:10.1089/cyber.2012.0323.
   PubMed Web of Science ®Google Scholar
• Belanger F, Corssler R. Privacy in the digital age: A review of information privacy research in information systems. MIS Q. 2011;35(4):1017–41. doi:10.2307/41409971.
   Web of Science ®Google Scholar
• Dinev T, Hart P. An extended privacy calculus model for e-commerce transactions. Inf Syst Res. 2006;17(1):61–80. doi:10.1287/isre.1060.0080.
   Web of Science ®Google Scholar
• Smith HJ, Dinev T, Xum H. Information privacy research: an interdisciplinary review. MIS Q. 2011;35(4):989–1015. doi:10.2307/41409970.
   Web of Science ®Google Scholar
• Cao J, Basoglu KA, Sheng H, Lowry PB. A systematic review of social networks research in information systems: building a foundation for exciting future research. Communications of the AIS. 2015;36:727–58.
   Web of Science ®Google Scholar
• Ngai EWT, Tao SSC, Moon KKL. Social media research: theories, constructs, and conceptual framework. Int J Inf Manage. 2015;35(1):33–44. doi:10.1016/j.ijinfomgt.2014.09.004.
   Web of Science ®Google Scholar
• Gefen D, Pavlou PA. The boundaries of trust and risk: the quadratic moderating role of institutional structures. Inf Syst Res. 2012;23(3):940–59. doi:10.1287/isre.1110.0395.
   Web of Science ®Google Scholar
• Pavlou PA, Liang H, Xue Y. Understanding and mitigating uncertainty in online exchange relationships: A principal–agent perspective. MIS Q. 2007;31(1):105–36. doi:10.2307/25148783.
   Web of Science ®Google Scholar
• Bansal G. Distinguishing between privacy and security concerns: an empirical examination and scale validation. J Comput Inf Syst. 2017;57(4):330–43. doi:10.1080/08874417.2016.1232981.
   Web of Science ®Google Scholar
• Michel S, Brown SW, Gallan AS. An expanded and strategic view of discontinuous innovations: developing a service-dominant logic. J Acad Marketing Sci. 2008;36(1):54–66. doi:10.1007/s11747-007-0066-9.
   Web of Science ®Google Scholar
• Mousavizadeh M, Kim DJ, Chen R. Effects of assurance mechanisms and consumer concerns on online purchase decisions: an empirical study. Decis Support Syst. 2016;92:79–90. doi:10.1016/j.dss.2016.09.011.
   Web of Science ®Google Scholar
• Lusch RF, Nambisan S. Service innovation: a service-dominant logic perspective. MIS Q. 2015;39(1):155–75. doi:10.25300/MISQ.
   Web of Science ®Google Scholar
• Cases AS, Fournier C, Dubois PL, Tanner JF. Web site spill over to email campaigns: the role of privacy, trust and shoppers’ attitudes. J Bus Res. 2010;63(9–10):993–99. doi:10.1016/j.jbusres.2009.02.028.
   Web of Science ®Google Scholar
• Eastlick MA, Lotz SL, Warrington P. Understanding online B-to-C relationships: an integrated model of privacy concerns, trust, and commitment. J Bus Res. 2006;59(8):877–86. doi:10.1016/j.jbusres.2006.02.006.
   Web of Science ®Google Scholar
• Joinson AN, Reips UD, Buchanan T, Schofield CBP. Privacy, trust, and self-disclosure online. Human–Computer Interaction. 2010;25(1):1–24. doi:10.1080/07370020903586662.
   Web of Science ®Google Scholar
• Vargo SL, Lusch RF. Evolving to a new dominant logic for marketing. J Mark. 2004;68(1):1–17. doi:10.1509/jmkg.68.1.1.24036.
   Web of Science ®Google Scholar
• Vargo SL, Lusch RF. Why service?. J Acad Marketing Sci. 2008;36(1):25–38. doi:10.1007/s11747-007-0068-7.
   Web of Science ®Google Scholar
• Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211. doi:10.1016/0749-5978(91)90020-T.
   Web of Science ®Google Scholar
• Ajzen I, Fishbein M. Understanding attitudes and predicting social behavior. Englewood Cliffs (NJ): Prentice-Hall; 1980.
   Google Scholar
• Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989;13(3):319–39. doi:10.2307/249008.
   Web of Science ®Google Scholar
• Davis FD, Bagozzi RP, Warshaw PR. User acceptance of computer technology: a comparison of two theoretical models. Manage Sci. 1989;35(8):982–1003. doi:10.1287/mnsc.35.8.982.
   Web of Science ®Google Scholar
• Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Q. 2003;27(3):425–78. doi:10.2307/30036540.
   Web of Science ®Google Scholar
• Co-Creation: ZV. Toward a taxonomy and an integrated research perspective. Int J Electron Commerce. 2010;15(1):11–48. doi:10.2753/JEC1086-4415150101.
   Web of Science ®Google Scholar
• Hu T, Kettinger W, Poston R. The effect of online social value on satisfaction and continued use of social media. Eur J Inf Syst. 2015;24(4):391–410. doi:10.1057/ejis.2014.22.
   Web of Science ®Google Scholar
• Hu T, Poston RS, Kettinger WJ. Nonadopters of online social network services: is it easy to have fun yet?. Communications Assoc Inf Syst. 2011;29:441–58.
   Google Scholar
• Hu T, Stafford TF, Kettinger W, Zhang X, Dai H. Formation and effects of social media usage habit. J Comput Inf Syst. 2018;58(4):334–43. doi:10.1080/08874417.2016.1261378.
   Web of Science ®Google Scholar
• Limayem M, Hirt SG, Cheung CMK. How habit limits the predictive power of intention: the case of information systems continuance. MIS Q. 2007;31(4):705–37. doi:10.2307/25148817.
   Web of Science ®Google Scholar
• Diamantopoulos A, Winklhofer HM. Index construction with formative indicators: an alternative to scale development. J Marketing Res. 2001;38(2):269–77. doi:10.1509/jmkr.38.2.269.18845.
   Web of Science ®Google Scholar
• Turel O, Serenko A, Giles P. Integrating technology addiction and use: an empirical investigation of online auction users. MIS Q. 2011;35(4):1043–61. doi:10.2307/41409972.
   Web of Science ®Google Scholar
• Rainie L Americans’ complicated feelings about social media in an era of privacy concerns. March 27, 2018. http://www.pewresearch.org/fact-tank/2018/03/27/americans-complicated-feelings-about-social-media-in-an-era-of-privacy-concerns/
   Google Scholar
• Wang X, Li Y. How trust and need satisfaction motivate producing user-generated content. J Comput Inf Syst. 2016;57(1):49–57. doi:10.1080/08874417.2016.1181493.
   Web of Science ®Google Scholar
• Kalakota R, Whinston AB. Frontiers of electronic commerce. Reading (MA): Addison-Wesley; 1996.
   Google Scholar
• Li Y. Empirical studies on online information privacy concerns: literature review and an integrative framework. Communications of AIS. 2011;28:453–96.
   Google Scholar
• Ranjan KR, Read S. Value co-creation: concept and measurement. J Acad Marketing Sci. 2016;44(3):290–315. doi:10.1007/s11747-014-0397-2.
   Web of Science ®Google Scholar
• Nambisan S, Nambisan P. How to profit from a better virtual customer environment. MIT Sloan Manag Rev. 2008;49:53–61.
   Web of Science ®Google Scholar
• Kohler T, Fueller J, Matzler K, Stieger D. Co-creation in virtual worlds: the design of the user experience. MIS Q. 2011;35(3):773–88. doi:10.2307/23042808.
   Web of Science ®Google Scholar
• Zhang H, Lu Y, Wang B, Wu S. The impacts of technological environments and co-creation experiences on customer participation. Inf Manag. 2015;52(4):468–82. doi:10.1016/j.im.2015.01.008.
   Web of Science ®Google Scholar
• Turel O, Serenko A. The benefits and dangers of enjoyment with social networking websites. Eur J Inf Syst. 2012;21(5):512–28. doi:10.1057/ejis.2012.1.
   Web of Science ®Google Scholar
• Fang Y, Qureshi I, Sun H, McCole P, Ramsey E, Lim KH. Trust, satisfaction, and online repurchase intention: the moderating role of perceived effectiveness of e-commerce institutional mechanisms. MIS Q. 2014;38(2):407–27. doi:10.25300/MISQ.
   Web of Science ®Google Scholar
• Burton-Jones A, Gallivan MJ. Toward a deep understanding of system usage in organizations: A multilevel perspective. MIS Q. 2007;31(4):657–79. doi:10.2307/25148815.
   Web of Science ®Google Scholar
• Barki H, Titah R, Boffo C. Information system use-related activity: an expanded behavioral conceptualization of individual-level information system use. Inf Syst Res. 2007;18(2):173–92. doi:10.1287/isre.1070.0122.
   Web of Science ®Google Scholar
• Burton-Jones A, Straub D. Reconceptualizing system usage: an approach and empirical test. Inf Syst Res. 2006;17(3):228–46. doi:10.1287/isre.1060.0096.
   Web of Science ®Google Scholar
• Hu T, Zhang P. Social media usage as a formative construct: conceptualization, validation and implications. J Inf Technol Manag. 2016;27:151–68.
   Google Scholar
• Keh HT, Teo CW. Retail customers as partial employees in service provision: a conceptual framework. Int J Retail Distribution Manag. 2001;29(8):370–78. doi:10.1108/09590550110396944.
   Google Scholar
• Revilla-Camacho MA, Vega-Vázquez M, Cossío-Silva FJ. Customer participation and citizenship behavior effects on turnover intention. J Bus Res. 2015;68(7):1607–11. doi:10.1016/j.jbusres.2015.02.004.
   Web of Science ®Google Scholar
• Bove L, Pervan SJ, Beatty SE, Shiu E. Service worker role in encouraging customer organizational citizenship behaviors. J Bus Res. 2009;62(7):698–705. doi:10.1016/j.jbusres.2008.07.003.
   Web of Science ®Google Scholar
• Chiu C, Fang Y, Wang E. Building community citizenship behaviors: the relative role of attachment and satisfaction. J AIS. 2015;16:947–79.
   Google Scholar
• Jarvis CB, MacKenzie SB, Podsakoff PM. A critical review of construct indicators and measurement model misspecification in marketing and consumer research. J Consumer Res. 2003;30(2):199–218. doi:10.1086/jcr.2003.30.issue-2.
   Web of Science ®Google Scholar
• Petter S, Straub D, Rai A. Specifying formative constructs in information systems research. MIS Q. 2007;31(4):623–56. doi:10.2307/25148814.
   Web of Science ®Google Scholar
• Blank G, Bolsover G, Dubois E. A new privacy paradox: young people and privacy on social network sites. In: Proceeding of the Annual Meeting of the American Sociological Association. San Francisco (CA); 2014;1–33, Oxford Internet Institute, University of Oxford.
   Google Scholar
• Chang HH, Chen SW. Consumer perception of interface quality, security, and loyalty in electronic commerce. Inf Manag. 2009;46(7):411–17. doi:10.1016/j.im.2009.08.002.
   Web of Science ®Google Scholar
• Martin K. The penalty for privacy violations: how privacy violations impact trust online. J Bus Res. 2018;82:103–16. doi:10.1016/j.jbusres.2017.08.034.
   Web of Science ®Google Scholar
• Belanger F, Hiller JS, Smith WJ. Trustworthiness in electronic commerce: the role of privacy, security, and site attributes. J Strategic Inf Syst. 2002;11(3):245–70. doi:10.1016/S0963-8687(02)00018-5.
   Web of Science ®Google Scholar
• Merz MA, Zarantonello L, Grappi S. How valuable are your customers I the brand value-co-creation process? the development of a customer co-creation value (CCCV) scale. J Bus Res. 2018;82:79–89. doi:10.1016/j.jbusres.2017.08.018.
   Web of Science ®Google Scholar
• Schoenbachler DD, Gordon GL. Trust and customer willingness to provide information in database-driven relationship marketing. J Interactive Marketing. 2002;16(3):2–16. doi:10.1002/dir.10033.
   Google Scholar
• Mayer RC, Davis JH, Schoorman FD. An integrative model of organizational trust. Acad Manag Rev. 1995;20(3):709–34. doi:10.5465/amr.1995.9508080335.
   Web of Science ®Google Scholar
• SimilarWeb. Facebook.com analytics. May 21, 2017. https://www.similarweb.com/website/facebook.com.
   Google Scholar
• Rai A, Patnayakuni R, Seth N. Firm performance impacts of digitally enabled supply chain integration capabilities. MIS Q. 2006;30(2):225–46. doi:10.2307/25148729.
   Web of Science ®Google Scholar
• Tourangeau R, Rips LJ, Rasinski K. Psychology of survey response. Cambridge (MA): Cambridge University Press; 2000.
   Google Scholar
• Lindell MK, Whitney DJ. Accounting for common method variance in cross sectional research designs. J Appl Psychol. 2001;86:114–21.
   PubMed Web of Science ®Google Scholar
• Malhotra NK, Kim SS, Patil A. Common method variance in IS research: a comparison of alternative approaches and a reanalysis of past research. Manage Sci. 2006;52(12):1865–83. doi:10.1287/mnsc.1060.0597.
   Web of Science ®Google Scholar
• Chin WW. The partial least squares approach to structural equation modeling. In: Marcoulides GA, editor. Modern Business Research Methods. Mahwah (NJ): Lawrence Erlbaum Associates. 1998;295–336.
   Google Scholar
• Nunnally J, Bernstein I. Psychometric Theory. New York (NY): McGraw Hill; 1994.
   Google Scholar
• Fornell C, Larcker VF. Evaluating structural equation models with unobservable variables and measurement error. J Marketing Res. 1981;18(1):39–50. doi:10.2307/3151312.
   Web of Science ®Google Scholar
• Cenfetelli RT, Bassellier G. Interpretation of formative measurement in information systems research. MIS Q. 2009;33(4):689–707. doi:10.2307/20650323.
   Web of Science ®Google Scholar
• Diamantopoulos A, Siguaw JA. Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. Br J Manag. 2006;17(4):263–82. doi:10.1111/bjom.2006.17.issue-4.
   Web of Science ®Google Scholar
• Chin WW, Marcolin BL, Newsted PR. A partial least square latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Inf Syst Res. 2003;14(2):189–217. doi:10.1287/isre.14.2.189.16018.
   Web of Science ®Google Scholar
• Cohen J. Statistical power analysis for the behavioral sciences. Hillsdale (NJ): Lawrence Erbaum Associates; 1988.
   Google Scholar