Open Access

Impact of Fear of Identity Theft and Perceived Risk on Online Purchase Intention


Cite

Aghekyan-Simonian, M., Forsythe, S., Kwon, W. S., & Chattaraman, V. (2012). The role of product brand image and online store image on perceived risks and online purchase intentions for apparel. Journal of Retailing and Consumer Services, 19(3), 325-331, http://dx.doi.org/10.1016/j.jretconser.2012.03.00610.1016/j.jretconser.2012.03.006Open DOISearch in Google Scholar

Aldás-Manzano, J., Lassala-Navarre, C., Ruiz-Mafe, C., & Sanz-Blas, S. (2009). The role of consumer innovativeness and perceived risk in online banking usage. International Journal of Bank Marketing, 27(1), 53-75, http://dx.doi.org/10.1108/0265232091092824510.1108/02652320910928245Open DOISearch in Google Scholar

Almousa, M. (2011). Perceived Risk in Apparel Online Shopping: A Multi Dimensional Perspective. Canadian Social Science, 7(2), 23-31. Retrieved 18.2.2017 from http://cscanada.net/index.php/css/article/view-File/j.css.1923669720110702.003/1273 Search in Google Scholar

Barnes, S. J., Bauer, H. H., Neumann, M. M., & Huber, F. (2007). Segmenting cyberspace: a customer typology for the internet. European journal of marketing, 41(1/2), 71-93.10.1108/03090560710718120Search in Google Scholar

Bauer, R. A. (1960). Consumer behavior as risk-taking. In Hancock, R. (Ed.), Dynamic marketing for a changing world (Proceedings of the 43rd conference) (389-398). American Marketing Association.Search in Google Scholar

Blažun Vošner, H., Bobek, S., Kokol, P., & Javornik Krečič, M. (2016). Attitudes of active older Internet users towards online social networking. Computers in Human Behavior, 55, 230-241, http://dx.doi.org/10.1016/j.chb.2015.09.01410.1016/j.chb.2015.09.014Open DOISearch in Google Scholar

Cai, Z., Fan, X., & Du, J. (2017). Gender and attitudes toward technology use: A meta-analysis. Computers & Education, 105, 1-13, http://dx.doi.org/10.1016/j.compedu.2016.11.00310.1016/j.compedu.2016.11.003Open DOISearch in Google Scholar

Chen, L. S. L. (2010). The impact of perceived risk, intangibility and consumer characteristics on online game playing. Computers in Human Behavior, 26(6), 1607- 1613, http://dx.doi.org/10.1016/j.chb.2010.06.00810.1016/j.chb.2010.06.008Open DOISearch in Google Scholar

Chen, Y. Y. (2012). Why do consumers go internet shopping again? Understanding the antecedents of repurchase intention. Journal of Organizational Computing and Electronic Commerce, 22(1), 38-63, http://dx.doi.org/10.1080/10919392.2012.64223410.1080/10919392.2012.642234Open DOISearch in Google Scholar

Chen, Y., Yan, X., Fan, W., & Gordon, M. (2015). The joint moderating role of trust propensity and gender on consumers’ online shopping behavior. Computers in Human Behavior, 43, 272-283, http://dx.doi.org/10.1016/j.chb.2014.10.02010.1016/j.chb.2014.10.020Open DOISearch in Google Scholar

Chiu, C. M., Wang, E. T., Fang, Y. H., & Huang, H. Y. (2014). Understanding customers’ repeat purchase intentions in B2C e‐commerce: the roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85-114, doi:10.1111/j.1365-2575.2012.00407.xSearch in Google Scholar

Cho, M., Bonn, M. A., & Kang, S. (2014). Wine attributes, perceived risk and online wine repurchase intention: The cross-level interaction effects of website quality. International Journal of Hospitality Management, 43, 108-120, http://dx.doi.org/10.1016/j.ijhm.2014.09.00210.1016/j.ijhm.2014.09.002Open DOISearch in Google Scholar

Cox, D. F. (1967). Risk handling in consumer behavior: An intensive study of two cases. In Cox, D. F. (Ed.), Risk taking and information handling in consumer behavior. Boston: Harvard University Press.Search in Google Scholar

Diamantopoulos, A., & Siguaw, J. A. (2000). Introducing LISREL. London: SAGE Publications.10.4135/9781849209359Search in Google Scholar

Egeln, L. S., & Joseph, J. A. (2012). Shopping cart abandonment in online shopping. Atlantic Marketing Journal, 1(1), 1-14. Retrieved 3.3.2017 from http://digitalcommons.kennesaw.edu/amj/vol1/iss1/1/?utm_source=digitalcommons.kennesaw.edu%2Famj%2Fvol1%2Fiss1%2F1&utm_medium=PDF&utm_campaign=PDFCoverPagesSearch in Google Scholar

Etikan, I., Abubakar Musa, S., & Sunusi Alkassim, R. (2016). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1-4. doi: 10.11648/j.ajtas.20160501.11Search in Google Scholar

Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business research, 56(11), 867-875, http://dx.doi.org/10.1016/S0148-2963(01)00273-910.1016/S0148-2963(01)00273-9Open DOISearch in Google Scholar

Forsythe, S., Liu, C., Shannon, D., & Gardner, L. C. (2006). Development of a scale to measure the perceived benefits and risks of online shopping. Journal of interactive marketing, 20(2), 55-75, http://dx.doi.org/10.1002/dir.2006110.1002/dir.20061Open DOISearch in Google Scholar

Fortes, N., & Rita, P. (2016). Privacy concerns and online purchasing behaviour: towards an integrated model. European Research on Management and Business Economics, 22(3), 167-176, http://dx.doi.org/10.1016/j.iedeen.2016.04.00210.1016/j.iedeen.2016.04.002Open DOISearch in Google Scholar

Gerrikagoitia, J. K., Castander, I., Rebón, F., & Alzua-Sorzabal, A. (2015). New trends of Intelligent E-Marketing based on Web Mining for e-shops. Procedia-Social and Behavioral Sciences, 175, 75-83, http://dx.doi.org/10.1016/j.sbspro.2015.01.117610.1016/j.sbspro.2015.01.1176Open DOISearch in Google Scholar

Guritno, S., & Siringoringo, H. (2013). Perceived usefulness, ease of use, and attitude towards online shopping usefulness towards online airlines ticket purchase. Procedia- Social and Behavioral Sciences, 81, 212-216, http://dx.doi.org/10.1016/j.sbspro.2013.06.41510.1016/j.sbspro.2013.06.415Open DOISearch in Google Scholar

Ha, Y., & Lennon, S. J. (2010). Effects of site design on consumer emotions: role of product involvement. Journal of Research in Interactive Marketing, 4(2), 80-96, http://dx.doi.org/10.1108/1750593101105164110.1108/17505931011051641Open DOISearch in Google Scholar

Hille, P., Walsh, G., & Cleveland, M. (2015). Consumer fear of online identity theft: Scale development and validation. Journal of Interactive Marketing, 30, 1-19, http://dx.doi.org/10.1016/j.intmar.2014.10.00110.1016/j.intmar.2014.10.001Open DOISearch in Google Scholar

Hong, I. B. (2015). Understanding the consumer’s online merchant selection process: The roles of product involvement, perceived risk, and trust expectation. International Journal of Information Management, 35(3), 322-336, http://dx.doi.org/10.1016/j.ijinfomgt.2015.01.00310.1016/j.ijinfomgt.2015.01.003Open DOISearch in Google Scholar

Hong, I. B., & Cha, H. S. (2013). The mediating role of consumer trust in an online merchant in predicting purchase intention. International Journal of Information Management, 33(6), 927-939, http://dx.doi.org/10.1016/j.ijinfomgt.2013.08.00710.1016/j.ijinfomgt.2013.08.007Open DOISearch in Google Scholar

Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural equation modelling: Guidelines for determining model fit. The electronic Journal of Business Research Methods, 6(1), 53-60.Search in Google Scholar

Hsu, C. L., Chang, K. C., & Chen, M. C. (2012). The impact of website quality on customer satisfaction and purchase intention: perceived playfulness and perceived flow as mediators. Information Systems and e-Business Management, 10(4), 549-570, doi:10.1007/s10257-011-0181-5Search in Google Scholar

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55, http://dx.doi.org/10.1080/1070551990954011810.1080/10705519909540118Open DOISearch in Google Scholar

Kenny, D. A. (2015, 24th November). Measuring Model Fit. Retreived 23.6.2016 from http://davidakenny.net/cm/fit.htmSearch in Google Scholar

Kwek, C. L., Tan, H. P., & Lau, T. C. (2015). Investigating the shopping orientations on online purchase intention in the e-commerce environment: a Malaysian study. The Journal of Internet Banking and Commerce. Retrieved 18.2.2017 from http://www.icommercecentral.com/open-access/investigating-the-shopping-orientations-on-online-purchase-intention-in-the-ecommerce-environment-a-malaysian-study-1-21.php?aid=38386Search in Google Scholar

Lai, J. Y. (2014). E-SERVCON and E-commerce success: Applying the DeLone & McLean model. Journal of Organizational and End User Computing, 26(3), 1-22, doi:10.4018/joeuc.2014070101Search in Google Scholar

Liao, C., Lin, H. N., & Liu, Y. P. (2010). Predicting the use of pirated software: A contingency model integrating perceived risk with the theory of planned behavior. Journal of Business Ethics, 91(2), 237-252, doi:10.1007/s10551-009-0081-5Search in Google Scholar

Liao, C., Lin, H. N., Luo, M. M., & Chea, S. (2016). Factors influencing Online Shoppers’ Repurchase Intentions: The Roles of Satisfaction and Regret. Information & Management, (In Press), http://dx.doi.org/10.1016/j.im.2016.12.00510.1016/j.im.2016.12.005Open DOISearch in Google Scholar

Lim, Y. J., Osman, A., Salahuddin, S. N., Romle, A. R., & Abdullah, S. (2016). Factors influencing online shopping behavior: the mediating role of purchase intention. Procedia Economics and Finance, 35, 401-410, http://dx.doi.org/10.1016/S2212-5671(16)00050-210.1016/S2212-5671(16)00050-2Open DOISearch in Google Scholar

Madahi, A., & Sukati, I. (2012). The effect of external factors on purchase intention amongst young generation in Malaysia. International Business Research, 5(8), 153-159, http://dx.doi.org/10.5539/ibr.v5n8p15310.5539/ibr.v5n8p153Open DOISearch in Google Scholar

Martin, J., Mortimer, G., & Andrews, L. (2015). Re-examining online customer experience to include purchase frequency and perceived risk. Journal of retailing and consumer services, 25, 81-95, http://dx.doi.org/10.1016/j.jretconser.2015.03.00810.1016/j.jretconser.2015.03.008Open DOISearch in Google Scholar

Masoud, E. Y. (2013). The effect of perceived risk on online shopping in Jordan. European Journal of Business and Management, 5(6), 76-87.Search in Google Scholar

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(3), 449-473, doi:10.1111/j.1745-6606.2009.01148.xSearch in Google Scholar

Miri-Lavassani, K., Kumar, V., Movahedi, B., & Kumar, U. (2009). Developing an identity fraud measurement model: a factor analysis approach. Journal of Financial crime, 16(4), 364-386, http://dx.doi.org/10.1108/1359079091099370810.1108/13590790910993708Open DOISearch in Google Scholar

Mitchell, V. W. (1999). Consumer perceived risk: conceptualisations and models. European Journal of marketing, 33(1/2), 163-195, http://dx.doi.org/10.1108/0309056991024922910.1108/03090569910249229Open DOISearch in Google Scholar

Nepomuceno, M. V., Laroche, M., & Richard, M. O. (2014). How to reduce perceived risk when buying online: The interactions between intangibility, product knowledge, brand familiarity, privacy and security concerns. Journal of Retailing and Consumer Services, 21(4), 619-629, http://dx.doi.org/10.1016/j.jretconser.2013.11.00610.1016/j.jretconser.2013.11.006Open DOISearch in Google Scholar

Nicolaou, A. I., & McKnight, D. H. (2006). Perceived information quality in data exchanges: Effects on risk, trust, and intention to use. Information systems research, 17(4), 332-351.10.1287/isre.1060.0103Search in Google Scholar

Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International journal of electronic commerce, 7(3), 101-134.10.1080/10864415.2003.11044275Search in Google Scholar

Pei, Z., Paswan, A., & Yan, R. (2014). E-tailer ׳ s return policy, consumer ׳ s perception of return policy fairness and purchase intention. Journal of Retailing and Consumer Services, 21(3), 249-257, http://dx.doi.org/10.1016/j.jretconser.2014.01.00410.1016/j.jretconser.2014.01.004Open DOISearch in Google Scholar

Plutchik, R. (1980). A General Psychoevolutionary Theory of Emotion. In Plutchik, R. & Kellerman, H. (Eds), Emotion: Theory, Research and Experience, 1 (3-33), New York: Academic Press.10.1016/B978-0-12-558701-3.50007-7Search in Google Scholar

Prajogo, D. I., & McDermott, C. M. (2005). The relationship between total quality management practices and organizational culture. International Journal of Operations and Production Management, 25(11), 1101-1122, http://dx.doi.org/10.1108/0144357051062691610.1108/01443570510626916Open DOISearch in Google Scholar

Reyns, B. W. (2013). Online routines and identity theft victimization: Further expanding routine activity theory beyond direct-contact offenses. Journal of Research in Crime and Delinquency, 50(2), 216-238, https://doi.org/10.1177/002242781142553910.1177/0022427811425539Open DOISearch in Google Scholar

Reyns, B. W., & Henson, B. (2016). The thief with a thousand faces and the victim with none: Identifying determinants for online identity theft victimization with routine activity theory. International journal of offender therapy and comparative criminology, 60(10), 1119-1139, https://doi.org/10.1177/0306624X1557286110.1177/0306624X15572861Search in Google Scholar

Salisbury, W. D., Pearson, R. A., Pearson, A. W., & Miller, D. W. (2001). Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems, 101(4), 165-177, http://dx.doi.org/10.1108/0263557011039007110.1108/02635570110390071Open DOISearch in Google Scholar

Schiffman, L. G., & Kanuk, L. L. (2007). Consumer Behavior (9th ed.). Prentice-Hall Inc: New Jersey. Search in Google Scholar

Shiau, W. L., & Luo, M. M. (2012). Factors affecting online group buying intention and satisfaction: A social exchange theory perspective. Computers in Human Behavior, 28(6), 2431-2444, http://dx.doi.org/10.1016/j.chb.2012.07.03010.1016/j.chb.2012.07.030Open DOISearch in Google Scholar

Sin, S. S., Nor, K. M., & Al-Agaga, A. M. (2012). Factors Affecting Malaysian young consumers’ online purchase intention in social media websites. Procedia-Social and Behavioral Sciences, 40, 326-333, http://dx.doi.org/10.1016/j.sbspro.2012.03.19510.1016/j.sbspro.2012.03.195Open DOISearch in Google Scholar

Wall, D. S. (2013). Policing identity crimes. Policing and Society, 23(4), 437-460, http://dx.doi.org/10.1080/10439463.2013.78022410.1080/10439463.2013.780224Open DOISearch in Google Scholar

Wang, X., & Yang, Z. (2008). Does country-of-origin matter in the relationship between brand personality and purchase intention in emerging economies? Evidence from China’s auto industry. International Marketing Review, 25(4), 458-474, http://dx.doi.org/10.1108/0265133081088749510.1108/02651330810887495Open DOISearch in Google Scholar

Wang, Y. H., & Tsai, C. F. (2014). The relationship between brand image and purchase intention: Evidence from award winning mutual funds. The International Journal of Business and Finance Research 8(2), 27-40.Search in Google Scholar

Wells, J. D., Valacich, J. S., & Hess, T. J. (2011). What signal are you sending? How website quality influences perceptions of product quality and purchase intentions. MIS quarterly, 35(2), 373-396.10.2307/23044048Search in Google Scholar

Wu, P. C., Yeh, G. Y. Y., & Hsiao, C. R. (2011). The effect of store image and service quality on brand image and purchase intention for private label brands. Australa sian Marketing Journal (AMJ), 19(1), 30-39, http://dx.doi.org/10.1016/j.ausmj.2010.11.00110.1016/j.ausmj.2010.11.001Open DOISearch in Google Scholar

Zhu, Z., Wang, J., Wang, X., & Wan, X. (2016). Exploring factors of user’s peer-influence behavior in social media on purchase intention: Evidence from QQ. Computers in Human Behavior, 63, 980-987, http://dx.doi.org/10.1016/j.chb.2016.05.03710.1016/j.chb.2016.05.037Open DOISearch in Google Scholar

eISSN:
1581-1832
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Business and Economics, Business Management, Management, Organization, Corporate Governance