Model Kepercayaan Konsumen Pada Situs e-Commerce

  • Wika Purbasari STMIK Widya Utama


The world trading system has now grown to online commerce (electronic commerce) because a lot of people who buy goods through e-commerce. This can be evidenced by a study Consumer Web Watch reported that 86% of Internet users have switched make purchases traditional to online purchases, because that's important to know what factors are forming a model of consumer confidence in e-commerce, then it is necessary a prediction to determine any factors that shape consumer confidence in e-commerce. Methods in meta analysis of studies in the form of meta data with the Systematic Literature Review (SLR) used for identifying, assessing and analyzing primary research to investigate research questions in the search for variables that influence consumer confidence in e-commerce.


[1] Beatty, P., Reay, I. A. N., Dick, S., and Miller J. 2011.Consumer Trust in E-Commerce Web Sites : A Meta-Study. 43(3).
[2] Delafrooz, N., Paim, L. H. J., and Khatibi A. 2011. A Research Modeling to Understand Online Shopping Intention. 5(5): 70–77.
[3] Travis, D. 2004. E-commerce Usability, Tools and Techniques to Perfect the On-line Experience. London and New York.
[4] Liu, C., Marchewka, J. T., Lu, J., and Yu, C.S. 2005. Beyond concern—a privacy-trust-behavioral intention model of electronic commerce. Inf. Manag., (42)2: 289–304.
[5] Corritore, C. L., Kracher B., and Wiedenbeck S. 2003. On-line trust: concepts, evolving themes, a model. Int. J. Hum. Comput. Stud., 58(6): 737–758.
[6] Suliyanto. 2005. Analisis Data Dalam Aplikasi Pemasaran.pdf. Ghalia Indonesia, Bogor. p. 245.
[7] He, M. andShi, L. 2009. A Study of Influential Factors on Consumer Initial Trust Building in China’s e-Marketing Context. Int. Symp. Inf. Eng. Electron. Commer., 701–706.
[8] Wang, T. 2011. A Study of the Effect on Trust and Attitude with Online Shopping. 2(2): 433–440.
[9] Henry Chan, E. C., Lee, Raymond., Dillon, Tharam. 2001. E-Commerce Fundamental And Applications. John Wiley & Sons Ltd, England.
[10] Madcoms. 2011. Sukses Membangun Toko Online dengan e-Commerce. Andi Yogyakarta dan Madcoms, Madiun. p. 322.
[11] Barbara, C. J., Paterson, L., Thorne, Sally, E., Canam, Connie. 2001. Meta-study of Qualitative Health Research a Pratical Guide to Meta- Analysis and Meta-Synthesis. Sage Publications, United Status Of America.
[12] Burnett, M. S. 2013. Content-Analysis of An for Examination Improving Applications with Directives and Reliability Objectivity. 18(2): 243–250.
[13] Breivold, H. P., Crnkovic, I., and Larsson, M. 2012. A Systematic Review of Software Architecture Evolution Research. Inf. Softw. Technol., (54)1: 16–40.
[14] Ullah, S., Niazi, M., and Ahmad, R. 2011.The Journal of Systems and Software Factors influencing clients in the selection of offshore software outsourcing vendors : An exploratory study using a systematic literature review. J. Syst. Softw., 84(4): 686–699.
[15] Wen, J., Li, S., Lin, Z., Hu, Y., and Huang, C. 2012. Systematic literature review of machine learning based software development effort estimation models. Inf. Softw. Technol., 54(1): 41–59.
[16] Jones, K. and Leonard, L. N. K. 2008. Trust in Consumer-to-Consumer Electronic Commerce. 45: 88–95.
[17] Kim, D. J., Ferrin, D. L., and Rao, H. R. 2008. A trust-based consumer decision-making model in electronic commerce : The role of trust , perceived risk , and their antecedents. 44:544–564.
[18] Kim, H. and Gupta, S. 2009. A Comparison of Purchase Decision Calculus Between Potential and Repeat Customers of an Online Store. Decis. Support Syst., 47(4): 477–487.
[19] Schmidt, S., Steele, R., Dillon, T. S., and Chang, E. 2007. Fuzzy Trust Evaluation and Credibility Development in Multi-Agent Systems. 7: 492–505.
[20] Lee, M. K. O., Shi, N., Cheung, C. M. K., Lim, K. H., and Ling, C. 2011. Information & Management Consumer ’ s decision to shop online : The moderating role of positive informational social influence. Inf. Manag., 48(6): 185–191.
[21] Wu , J. and Wang, Y. 2006. Development of a Tool for Selecting Mobile Shopping Site : A Customer Perspective. 5: 192–200.
[22] Yen, B., Hu, P. J., and Wang, M. 2007. Toward an Analytical Approach for Effective Web Site Design : A Framework for Modeling, Evaluation and Enhancement. 6: 159–170.
[23] Hassanein, K. and M. H. Ã. 2007. Manipulating Perceived Social Presence through the Web Interface and its Impact on Attitude Towards Online Shopping. 65: 689–708.
[24] Chang, K. and Lee, S. 2011. Interpreting the Web-Mining Results by Cognitive Map and Association Rule Approach. Inf. Process. Manag., 47(4): 482–490.
[25] Kumar, N.,Mohan, K., and Holowczak, R. 2008. Locking the Door but Leaving the Computer Vulnerable : Factors Inhibiting Home Users ’ Adoption of Software Firewall. Decis. Support Syst., 46(1): 254–264.
[26] Chang, K., Kang, I., and Kim, J. S. 2007. Exploring the User Interface of Negotiation Support Systems from the User Acceptance Perspective. 23: 220–239.
[27] Abbasi, P., Bigham, B. S., and Sarencheh, S. 2011. Procedia Computer Good ’ s History and Trust in Electronic Commerce. Procedia Comput. Sci., 3: 827–832.
[28] Midha, V. 2012. Impact of consumer empowerment on online trust : An examination across genders. Decis. Support Syst., 54(1): 198–205.
[29] Lacohee, H., Phippen, A. D., and Furnell, S. M. 2006. Risk and restitution : Assessing how users establish online trust, 25:486–493.
[30] Hwang, Y. and Chang, K. 2012. Information & Management Investigating the Moderating Role of Uncertainty Avoidance Cultural Values on Multidimensional Online Trust. Inf. Manag., 49(3–4):171–176.
[31] Bock, G., Lee, J., Kuan, H., and Kim, J.2012. The Progression of Online Trust in the Multi-Channel Retailer Context and the Role of Product Uncertainty. Decis. Support Syst., 53(1):97–107.
[32] Zhang, Y., Bian, J., and Zhu, W. 2013. Electronic Commerce Research and Applications Trust fraud : A crucial challenge for China ’ s e-commerce market. Electron. Commer. Res. Appl., 2009.
[33] Chau, P. Y. K., Hu, P. J., Lee, B. L. P., and Au, A. K. K. 2007. Examining customers ’ trust in online vendors and their dropout decisions : An empirical study. 6:171–182.
[34] Edelman B. 2011. Electronic Commerce Research and Applications Adverse selection in online ‘trust’ certifications and search results. Electron. Commer. Res. Appl., 10(1):17–25.
[35] Antony, S., Lin, Z., and Xu, B. 2006. Determinants of escrow service adoption in consumer-to-consumer online auction market : An experimental study. 42:1889–1900, 2006.
[36] Hu, X., Wu, G., Wu, Y., and Zhang, H. 2010. The effects of Web assurance seals on consumers’ initial trust in an online vendor: A functional perspective. Decis. Support Syst., 48(2):407–418, Jan.
[37] Chattaraman, V., Kwon, W., and Gilbert, J. E. 2012“Computers in Human Behavior Virtual agents in retail web sites : Benefits of simulated social interaction for older users,” Comput. Human Behav., 28(6):2055–2066.
[38] Kim, J. U., Kim, W. J., and Park, S. C. 2010. Consumer perceptions on web advertisements and motivation factors to purchase in the online shopping. Comput. Human Behav., 26(5):1208–1222, Sep.
[39] Hsu, M.-H., Yen, C.-H., Chiu, C.-M., and Chang, C.-M. 2006. A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior. Int. J. Hum. Comput. Stud., 64(9):889–904, Sep.
[40] Lian, J.-W. and Lin, T.-M. 2008. Effects of consumer characteristics on their acceptance of online shopping: Comparisons among different product types. Comput. Human Behav., 24(1):48–65, Jan.
[41] Cho, S.-E. 2010. Perceived risks and customer needs of geographical accessibility in electronic commerce. Electron. Commer. Res. Appl., 9(6):495–506, Nov.
[42] Utz, S., Kerkhof, P., and van den Bos, J. 2012. Consumers rule: How consumer reviews influence perceived trustworthiness of online stores. Electron. Commer. Res. Appl., 11(1):49–58, Jan.
[43] Lin, H.-F. 2007. Predicting consumer intentions to shop online: An empirical test of competing theories. Electron. Commer. Res. Appl., 6(4):433–442, Dec.
[44] Hasan, B. 2010. Exploring gender differences in online shopping attitude. Comput. Human Behav., 26(4):597–601, Jul.
[45] Chiu, C.-M., Hsu, M.-H., Lai, H., and Chang, C.-M. 2012. Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents. Decis. Support Syst., 53(4):835–845, Nov.
[46] Kamis, A. a. and Stohr, E. a. 2006. Parametric search engines: What makes them effective when shopping online for differentiated products?. Inf. Manag., 43(7):904–918, Oct.
[47] Lee, J.-E. R., Rao, S., Nass, C., Forssell, K., and John, J. M. 2012. When do online shoppers appreciate security enhancement efforts? Effects of financial risk and security level on evaluations of customer authentication. Int. J. Hum. Comput. Stud., 70(5):364–376, May.
[48] Lee, G. and Lee, W. J. 2009. Psychological reactance to online recommendation services. Inf. Manag., 46(8):448–452, Dec.

[49] Cyr, D., Hassanein, K., Head, M., and Ivanov, A. 2007. The role of social presence in establishing loyalty in e-Service environments. Interact. Comput., 19(1):43–56, Jan.
[50] Ou, C. X. and Sia, C. L. 2010. Consumer trust and distrust: An issue of website design. Int. J. Hum. Comput. Stud., 68(12):913–934, Dec.
[51] Kim, D. and Chang, H. 2006. Key functional characteristics in designing and operating health information websites for user satisfaction: an application of the extended technologyacceptance model. Int. J. Med. Inform., 76(11–12):790–800.
[52] Jutla, D. N., Bodorik, P., and Zhang, Y. 2006. PeCAN: An architecture for users’ privacy-aware electronic commerce contexts on the semantic web. Inf. Syst., 31(4–5):295–320, Jun.
How to Cite
PURBASARI, Wika. Model Kepercayaan Konsumen Pada Situs e-Commerce. Teknikom: Teknologi Informasi, Ilmu Komputer dan Manajemen, [S.l.], v. 1, n. 1, p. 39-43, oct. 2017. ISSN 2598-2958. Available at: <>. Date accessed: 25 aug. 2019.