Perceived Site Security as a Second Order Construct and Its Relationship to e-Commerce Site Usage

  • Edward Hartono
  • Ki-Yoon Kim
  • Kwan-Sik Na
  • James T. Simpson
  • David Berkowitz
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 206)

Abstract

Understanding perceived site security has been identified as a critical issue in current B2C e-commerce practices and research. A literature review reveals that the perceived site security construct has been conceptualized as a multi-dimensional construct; yet, all empirical studies have used uni-dimensional measures. Based on the CIA triad framework, we posit that perceived site security is a second order construct consisting of three distinct aspects of perceived site security: (1) perceived site confidentiality, (2) perceived site integrity, and (3) perceived site availability. The results from this study reveal that the new second order structure of perceived site security measure is superior to both the group factor structure and one factor structure. The results of the structural model also support the nomological validity of the newly conceptualized perceived site security measure.

Keywords

Security e-commerce technology acceptance model (TAM) second order factor CIA triad measurement 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Alzola, L.M., Robaina, V.P.: Quality in electronic commerce B2C: Perceptions, expectations and importance. Service Industries Journal 26, 671–687 (2006)CrossRefGoogle Scholar
  2. 2.
    Amoako-Gyampah, K., Meredith, J.R.: Examining cumulative capabilities in a developing economy. International Journal of Operations & Production Management 27, 928–950 (2007)CrossRefGoogle Scholar
  3. 3.
    Anderson, J.C., Gerbing, D.W.: Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin 103, 411–423 (1988)CrossRefGoogle Scholar
  4. 4.
    Bentler, P.M., Bonnet, D.G.: Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin 88, 588–606 (1980)CrossRefGoogle Scholar
  5. 5.
    Cheng, T.C.E., Lam, D.Y.C., Yeung, A.C.L.: Adoption of Internet banking: An empirical study in Hong Kong. Decision Support Systems 42, 1558–1572 (2006)CrossRefGoogle Scholar
  6. 6.
    Cheung, C.M.K., Lee, M.K.O.: Understanding consumer trust in Internet shopping: A multidisciplinary approach. Journal of American Society for Information Science and Technology 57, 479–492 (2006)CrossRefGoogle Scholar
  7. 7.
    Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: A comparison of two theoretical models. Management Science 35, 982–1003 (1989)CrossRefGoogle Scholar
  8. 8.
    Fang, X., Chan, S., Brzezinski, J., Xu, S.: Moderating effects of task type on wireless technology acceptance. Journal of Management Information Systems 22, 123–157 (2005-2006)Google Scholar
  9. 9.
    Fishbein, M., Ajzen, I.: Belief, attitude, intention, and behavior. Addison-Wesley, Reading (1975)Google Scholar
  10. 10.
    Fornell, C., Larcker, D.: Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18, 39–50 (1981)CrossRefGoogle Scholar
  11. 11.
    Gefen, D., Karahanna, E., Straub, D.W.: Trust and TAM in online shopping: An integrated model. MIS Quarterly 27, 51–90 (2003)Google Scholar
  12. 12.
    Hu, L.T., Bentler, P.M.: Fit indices in covariance structure modeling: Sensitivity to underparameterization model misspecification. Psychological Methods 3, 424–453 (1998)CrossRefGoogle Scholar
  13. 13.
    James, L.R., Stanley, A., Mulaik, S.A., Jeanne, J.M.: Causal analysis: Assumptions, models and data. Sage, Beverly Hills (1982)Google Scholar
  14. 14.
    Kim, S., Stoel, L.: Dimensional hierarchy of retail Website quality. Information & Management 41, 619–633 (2004)CrossRefGoogle Scholar
  15. 15.
    Lian, J.W., Lin, T.M.: Effects of consumer characteristics on their acceptance of online shopping: Comparisons among different product types. Computers in Human Behavior 24, 48–65 (2008)CrossRefGoogle Scholar
  16. 16.
    Liao, Z., Cheung, M.T.: Service quality in Internet e-banking: A user-based core framework, e-Technology, e-Commerce and e-Service. In: IEEE International Conference on e-Technology, e-Commerce, and e-Service (EEE 2005), Hong Kong, pp. 628–631 (2005)Google Scholar
  17. 17.
    Liao, Z., Wong, W.K.: The determinants of customer interactions with Internet-enabled e-banking services, working paper no. 0701. Department of Economics, National University of Singapore (2007)Google Scholar
  18. 18.
    Pavlou, P., Liang, H., Xue, Y.: Understanding and mitigating uncertainty in online exchange relationships: A principal-agent perspective. MIS Quarterly 31, 105–136 (2007)Google Scholar
  19. 19.
    Ramani, G., Kumar, V.: Interaction orientation and firm performance. Journal of Marketing 72, 27–45 (2008)CrossRefGoogle Scholar
  20. 20.
    Rindskopf, D., Rose, T.: Some theory and applications of confirmatory second-order factor analysis. Multivariate Behavioral Research 23, 51–67 (1988)CrossRefGoogle Scholar
  21. 21.
    Salisbury, W.D., Pearson, R.A., Pearson, A.W., Miller, D.W.: Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems 101, 165–176 (2001)CrossRefGoogle Scholar
  22. 22.
    Siponen, M.T., Oinas-Kukkonen, H.: A review of information security issues and respective research contributions. The DATABASE for Advances in Information Systems 38, 60–80 (2007)CrossRefGoogle Scholar
  23. 23.
    Tao, W., Kim, C., Kim, K.S., Shin, N.: An empirical study of customers’ perceptions of security and trust in e-payment systems. Electronic Commerce Research and Applications 9, 84–95 (2010)CrossRefGoogle Scholar
  24. 24.
    Tsiakis, T., Sthephanides, G.: The concept of security and trust in electronic payments. Computers & Security 24, 10–15 (2005)CrossRefGoogle Scholar
  25. 25.
    Vatanasombut, B., Igbaria, M., Stylianou, A.C., Rodgers, W.: Information systems continuance intention of web-based applications customers: The case of online banking. Information & Management 45, 419–428 (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Edward Hartono
    • 1
  • Ki-Yoon Kim
    • 2
  • Kwan-Sik Na
    • 3
  • James T. Simpson
    • 4
  • David Berkowitz
    • 4
  1. 1.Department of Accounting & MIS, Alfred Lerner College of Business & EconomicsUniversity of DelawareNewarkUSA
  2. 2.School of BusinessKwangwoon UniversityNowon-guRepublic of Korea
  3. 3.Department of Management Information SystemsSeowon UniversityCheongju-shiRepublic of Korea
  4. 4.Department of Management, Marketing and Information Systems, College of Business AdministrationUniversity of Alabama in HuntsvilleHuntsvilleUSA

Personalised recommendations