Perceived Trust and Payment Methods: An Empirical Study of MarkaVIP Company

Abstract

This empirical study focused on investigating the perceived trust surrogated by a number of hy-pothesized factors and its effect on the choice of method of payment. The data were collected using a questionnaire, as the instrument for the primary data collection, with total collected back responses of 214 from customers of MarkaVIP. Structural equation modeling technique was used to fully analyze the data in order to determine what level of the relationship between the constituting factors of the perceived trust and the method of payment. The main findings were related to confirming the seven main hypotheses of the research that were related to testing if some factors were important to forming perceived trust by customers. Four factors (reputation, security, familiarity, and ease of use) were found to have a positive effect and the remaining three were not (privacy, size and usefulness). In addition, having perceived trust meant no preference to any method of payment by the customers.

Share and Cite:

Maqableh, M. , Masa’deh, R. , Shannak, R. and Nahar, K. (2015) Perceived Trust and Payment Methods: An Empirical Study of MarkaVIP Company. International Journal of Communications, Network and System Sciences, 8, 409-427. doi: 10.4236/ijcns.2015.811038.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Yu, H.-C., Hsi, K.-H. and Kuo, P.-J. (2002) Electronic Payment Systems: An Analysis and Comparison of Types. Technology in Society, 24, 331-347.
[2] Peha, J.M. and Khamitov, I.M. (2004) PayCash: A Secure Efficient Internet Payment System. Electronic Commerce Research and Applications, 3, 381-388.
[3] Tsiakis, T. and Sthephanides, G. (2005) The Concept of Security and Trust in Electronic Payments. Computers and Security, 24, 10-15.
[4] Maqableh, M. (2012) Analysis and Design Security Primitives Based on Chaotic Systems for eCommerce. Durham University.
[5] Mallat, N. (2007) Exploring Consumer Adoption of Mobile Payments—A Qualitative Study. Journal of Strategic Information Systems, 16, 413-432.
http://dx.doi.org/10.1016/j.jsis.2007.08.001
[6] Masa’deh, R., Gharaibeh, A., Maqableh, M. and Karajeh, H. (2013) An Empirical Study of Antecedents and Outcomes of Knowledge Sharing Capability in Jordanian Telecommunication Firms: A Structural Equation Modeling Approach. Life Science Journal, 10, 2284-2296.
[7] Sumanjeet, S. (2009) Emergence of Payment Systems in the Age of Electronic Commerce: The State of Art. Global Journal of International Business Research, 17-36.
[8] Maqableh, M.M. (2010) Secure Hash Functions Based on Chaotic Maps for E-Commerce Applications. International Journal of Information Technology and Management Information System (IJITMIS), 1, 12-22.
[9] Nor, K.M. and Pearson, J.M. (2010) The Influence of Trust on Internet Banking Acceptance. Journal of Internet Banking and Commerce, 12.
[10] Tsai, W.H., Huang, B.Y., Liu, J.Y., Tsaur, T.S. and Lin, S.J. (2010) The Application of Web ATMs in e-Payment Industry: A Case Study. Expert Systems with Applications, 37, 587-597.
http://dx.doi.org/10.1016/j.eswa.2009.05.058
[11] Al-ma’aitah, M. and Shatat, A. (2011) Empirical Study in the Security of Electronic Payment Systems. Journal of Computer Science, 8, 393-401.
[12] Harris, H. (2011) Evidence of Firms’ Perceptions toward Electronic Payment Systems (EPS) in Malaysia. International Journal of Business and Information, 6, 226-245.
[13] Maqableh, M., Samsudin, A. and Alia, M. (2008) New Hash Function Based on Chaos Theory (CHA-1). International Journal of Computer Science and Network Security, 8, 20-27.
[14] Lu, Y., Yang, S., Chau, P.Y.K. and Cao, Y. (2011) Dynamics between the Trust Transfer Process and Intention to Use Mobile Payment Services: A Cross-Environment Perspective. Information and Management, 48, 393-403.
http://dx.doi.org/10.1016/j.im.2011.09.006
[15] Gogoski, R. (2012) Payment Systems in Economy—Present End Future Tendencies. Procedia-Social and Behavioral Sciences, 44, 436-445.
http://dx.doi.org/10.1016/j.sbspro.2012.05.048
[16] Geva, B. (2013) Global Payment and Settlement Systems. In: Caprio, G., Ed., Handbook of Key Global Financial Markets, Institutions and Infrastructure, Academic Press, Waltham, 513-522.
http://dx.doi.org/10.1016/B978-0-12-397873-8.00034-7
[17] Liébana-Cabanillas, F., Sánchez-Fernández, J. and Munoz-Leiva, F. (2014) The Moderating Effect of Experience in the Adoption of Mobile Payment Tools in Virtual Social Networks: The m-Payment Acceptance Model in Virtual Social Networks (MPAM-VSN). International Journal of Information Management, 34, 151-166.
http://dx.doi.org/10.1016/j.ijinfomgt.2013.12.006
[18] Gefen, D. (2000) E-commerce: The Role of Familiarity and Trust. The International Journal of Management Science, 28, 725-737.
http://dx.doi.org/10.1016/s0305-0483(00)00021-9
[19] Tan, Y. and Thoen, W. (2001) Toward a Generic Model of Trust for Electronic Commerce. International Journal of Electronic Commerce, 5, 61-74.
[20] Chellappa, R.K. and Pavlou, P.A. (2002) Perceived Information Security, Financial Liability and Consumer Trust in Electronic Commerce Transactions. Logistics Information Management, 15, 358-368.
http://dx.doi.org/10.1108/09576050210447046
[21] Koufaris, M. and Hampton-Sosa, W. (2004) The Development of Initial Trust in an Online Company by New Customers. Information and Management, 41, 377-397.
http://dx.doi.org/10.1016/j.im.2003.08.004
[22] Liu, C., Marchewka, J.T., Lu, J. and Yu, C.S. (2005) Beyond Concern—A Privacy-Trust-Behavioral Intention Model of Electronic Commerce. Information and Management, 42, 289-304.
http://dx.doi.org/10.1016/j.im.2004.01.003
[23] Teo, T.S.H. and Liu, J. (2007) Consumer Trust in E-Commerce in the United States, Singapore and China. Omega, 35, 22-38.
http://dx.doi.org/10.1016/j.omega.2005.02.001
[24] 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. Decision Support Systems, 44, 544-564.
http://dx.doi.org/10.1016/j.dss.2007.07.001
[25] Zhang, H.M. (2009) The Study on the Influential Factors of Electronic Payment System Adoption. 2009 International Conference on Management Science and Engineering, ICMSE 2009, Moscow, 14-16 September 2009, 106-111.
http://dx.doi.org/10.1109/ICMSE.2009.5317578
[26] Lu, Y., Zhao, L. and Wang, B. (2010) From Virtual Community Members to C2C E-Commerce Buyers: Trust in Virtual Communities and Its Effect on Consumers’ Purchase Intention. Electronic Commerce Research and Applications, 9, 346-360.
http://dx.doi.org/10.1016/j.elerap.2009.07.003
[27] Kim, C., Mirusmonov, M. and Lee, I. (2010) An Empirical Examination of Factors Influencing the Intention to Use Mobile Payment. Computers in Human Behavior, 26, 310-322.
http://dx.doi.org/10.1016/j.chb.2009.10.013
[28] Kim, M.J., Chung, N. and Lee, C.K. (2011) The Effect of Perceived Trust on Electronic Commerce: Shopping Online for Tourism Products and Services in South Korea. Tourism Management, 32, 256-265.
http://dx.doi.org/10.1016/j.tourman.2010.01.011
[29] Kim, S. and Park, H. (2012) Effects of Various Characteristics of Social Commerce (S-Commerce) on Consumers’ Trust and Trust Performance. International Journal of Information Management, 33, 318-332.
http://dx.doi.org/10.1016/j.ijinfomgt.2012.11.006
[30] Maroofi, F., Hashemi, R., Nargesi, Z. and Branch, K. (2012) Survey of Customers’ Conceptions of Security and Trust in E-Payment System. Asian Journal of Business Management, 4, 275-285.
[31] Rouibah, K. (2012) Trust Factors Influencing Intention to Adopt Online Payment in Kuwait. Proceedings of the Southern Association for Information Systems Conference, Atlanta, 23-24 March 2012, 195-202.
[32] Lim, W.M. (2013) Toward a Theory of Online Buyer Behavior Using Structural Equation Modeling. Modern Applied Science, 7, 34-41.
http://dx.doi.org/10.5539/mas.v7n10p34
[33] Jarollahi, A.A. (2013) Customers’ Trust of Electronic Payment System Use in Northern Cyprus.
[34] Aigbe, P. and Akpojaro, J. (2014) Analysis of Security Issues in Electronic Payment Systems. International Journal of Computer Applications, 108, 10-14.
http://dx.doi.org/10.5120/18946-9993
[35] Nuri, H. (2014) A Study of Role of the Factors Influencing the Acceptance of E-Banking. No. 3, 521-525.
[36] Doney, M. and Cannon, J.P. (1997) An Examination of the Nature of Trust in Buyer-Seller Relationships. Journal of Marketing, 61, 35-51.
http://dx.doi.org/10.2307/1251829
[37] Jarvenpaa, S.L., Tractinsky, N. and Vitale, M. (2000) Consumer Trust in an Internet Store. Information Technology and Management, 1, 45-71.
http://dx.doi.org/10.1023/A:1019104520776
[38] Kim, C., Tao, W., Shin, N. and Kim, K.S. (2010) An Empirical Study of Customers’ Perceptions of Security and Trust in E-Payment Systems. Electronic Commerce Research and Applications, 9, 84-95.
http://dx.doi.org/10.1016/j.elerap.2009.04.014
[39] Koufaris, M. (2002) Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems Research, 13, 205-223.
http://dx.doi.org/10.1287/isre.13.2.205.83
[40] Hoffman, D.L., Novak, T.P. and Peralta, M. (1999) Building Consumer Trust Online. Communications of the ACM, 42, 80-85.
http://dx.doi.org/10.1145/299157.299175
[41] Byrne, B.M. (2001) Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming. Lawrence Erlbaum Associates, Mahwah.
[42] Kline, R.B. (2005) Principles and Practice of Structural Equation Modeling. 2nd Edition, The Guilford Press, New York.
[43] Newkirk, H.E., Newkirk, H.E., Lederer, A.L. and Lederer, A.L. (2006) The Effectiveness of Strategic Information Systems Planning under Environmental Uncertainty. Information and Management, 43, 481-501.
http://dx.doi.org/10.1016/j.im.2005.12.001
[44] Chou, T.C., Chang, P.L., Cheng, Y.P. and Tsai, C.T. (2007) A Path Model Linking Organizational Knowledge Attributes, Information Processing Capabilities, and Perceived Usability. Information and Management, 44, 408-417.
http://dx.doi.org/10.1016/j.im.2007.03.003
[45] Hair, J., Black, W., Babin, B., Anderson, R., Tatham, R. and Black, W. (2010) Multivariate Data Analysis. 5th Edition, Vol. 259, Prentice-Hall International Inc., Upper Saddle River.
[46] Bagozzi, R. and Yi, Y. (1988) On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16, 74-94.
http://dx.doi.org/10.1007/BF02723327
[47] Holmes-Smith, P. (2001) Introduction to Structural Equation Modeling Using LISREL. ACSPRI Winter Training Program, Perth.
[48] Creswell, J.W. (2014) Research Design: Qualitative, Quantitative and Mixed Methods Approaches.
[49] Sekaran, U. (2003) Research Methods for Business: A Skill-Building Approach. 4th Edition, John Wiley and Sons, Hoboken.
[50] Blumberg, B., Cooper, D.R. and Schindler, P.S. (2005) Business Research Methods, 770.
[51] Masa’deh, R., Shannak, R. and Maqableh, M. (2013) A Structural Equation Modeling Approach for Determining Antecedents and Outcomes of Students’ Attitude toward Mobile Commerce Adoption. Life Science Journal, 10, 2321-2333.
[52] Fornell, C. and Larcker, D.F. (1981) Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18, 39-50.
http://dx.doi.org/10.2307/3151312

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.