Determinants of Consumers' Perceived Risk in Online Shopping : A Study
DOI:
https://doi.org/10.17010/ijom/2014/v44/i1/80468Keywords:
Perceived Risk
, Online Shopping, Demographic Factors, Age, IncomePaper Submission Date
, September 1, 2013, Paper sent back for Revision, October 9, Paper Acceptance Date, November 6, 2013.Abstract
India has nearly 74 million Internet users and with this, India has bypassed Japan to become the third largest Internet user in the world. However, only 8-10 million of the Internet users shop online. One of the reasons behind this is the virtual nature of online shops that foster various apprehensions in the minds of the consumers. The risk that consumers perceive in shopping online is multidimensional. Perception of risk by consumers depends upon various factors like their demographics, personality, shopping motivation, and so forth. It is ,therefore, important for the online marketers to not only understand the sub dimension of risks that customers perceive in online shopping, but also the variation in the risk among individuals, so as to design proper risk mitigating strategies. In the present paper, an attempt has been made to understand the impact of various sub dimensions of risk (particularly financial risk, product performance risk, time risk, and delivery risk) on attitude towards online shopping and the variation in the perception of these two sub - dimensions along the two demographic factors, that is, age and income. The research findings revealed that product performance risk, delivery risk, and financial risk negatively impact attitude towards online shopping, while time/convenience risk has no impact on attitude towards online shopping. It was also observed that consumers' perception of all the mentioned sub - dimensions of risk varies with age. However, it was found that income impacts only the perception of a product and financial risk.Downloads
Downloads
Published
How to Cite
Issue
Section
References
Banerjee, N., Dutta, A., & Dasgupta T. (2010). A study on customers' attitude towards online shopping - An Indian perspective. Indian Journal of Marketing, 40 (11), 36-42.
Bauer, R. A. (1960). Consumer behavior and risk taking in dynamic marketing for a changing world. Chicago: American Marketing Association.
Bhatnagar, A., & Ghose, S. (2004). Segmenting consumers based on the benefits and risks of Internet shopping. Journal of Business Research, 57 (12), 1352-1360. DOI: http://dx.doi.org/10.1016/S0148-2963(03)00067-5.
Bhatnagar, A., Misra, S., & Rao, H. R. (2000). On risk, convenience, and Internet shopping behavior. Communications of the ACM (Association for Computing Machinery), 43 (11), 98-105. DOI>10.1145/353360.353371
Biswas, D., & Biswas, A. (2004). The diagnostic role of signals in the context of perceived risks in online shopping: Do signals matter more on the Web? Journal of Interactive Marketing, 18 (3), 30-45. DOI: 10.1002/dir.20010
Brooker, G. (1984). An assessment of an expanded measure of perceived risk. In T. C. Kinnear (Ed.) NA - Advances in consumer research (Volume 11, pp. 439- 441). Provo, UT: Association for Consumer Research.
Cases, A. - S., (2001). Perceived risk and risk-reduction strategies in Internet shopping. The International Review of Retail, Distribution and Consumer Research, 12 (4), 375-394. DOI:10.1080/09593960210151162
Caswell, S. (2000, January 1). Women enjoy e-shopping less than men. Retrieved from http://www.ecommercetimes.com/story/2179.html
Cox D.F., & Rich S.U. (1964). Perceived risk and consumer decision-making: The case of telephone shopping. Journal of Marketing Research, 1 (4), 32-39.
Cunningham, I., & Cunningham, W. (1973). The urban in-home shopper: Socio-economic and attitudinal characteristics. Journal of Retailing, 49 (3), 42-57.
Cunningham, S. M. (1967). The major dimensions of perceived risk. In Cox D. (Ed.). Risk taking and information handling in consumer behavior (pp. 82 - 111). Cambridge: Harvard University Press.
Dollin, B., Dillon, S., Thompson, F., & Corner, J.L. (2005). Perceived risk, the Internet shopping experience and online purchasing behavior: A New Zealand perspective. Journal of Global Information Management, 13 (2), 66-88. DOI: 10.4018/jgim.2005040104
Donthu N., & Garcia, A. (1999). The Internet shopper. Journal of Advertising Research, 39 (3), 52-58.
Dowling, G. R. (1986). Perceived risk: The concept and its measurement. Psychology & Marketing, 3 (3), 193-210. DOI: 10.1002/mar.4220030307
Fogg, B., Marshall, J., Laraki, O., Osipovich, A., Varma, C., Fang, N., …. & Treinen, M., (2001). What makes website credible? A report on a large quantitative study. Stanford University. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, March 31-April-5, 2001, 61-68. DOI>10.1145/365024.365037
Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business Research, 56 (11), 867-875. DOI: http://dx.doi.org/10.1016/S0148-2963(01)00273-9
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. DOI: http://dx.doi.org/10.1002/dir.20061
Furr, H. L., & Bonn, M .A. (1998). The Internet and the hospitality marketing professional. Praxis: Journal of Applied Hospitality Management, 1(1), 60-69.
George, J. F. (2004). The theory of planned behavior and Internet purchasing. Internet Research, 14 (3), 198 - 212. DOI: 10.1108/10662240410542634
Horton, R.L. (1976). The structure of perceived risk: Some further progress. Journal of Academy of Marketing Science, 4 (4), 694 - 706. DOI: 10.1007/BF02729830
IAMAI Report (September, 2013). Inventory based e-commerce needs FDI for growth. IAMAI-KPMG Report. Retrieved from http://www.iamai.in/PRelease_detail.aspx?nid=3161&NMonth=9&NYear=2013
Im, L., Kim, Y., & Han, H.J. (2008). The effects of perceived risk and technology type on users' acceptance of technologies. Information & Management, 45 (1), 1-9. DOI: http://dx.doi.org/10.1016/j.im.2007.03.005
Jacoby, J., & Kaplan, L.B. (1972). The components of perceived risk. In M. Venkatesan (Eds.). SV - Proceedings of the Third Annual Conference of the Association for Consumer Research (pp. 382-393). Chicago, IL: Association for Consumer Research.
Jarvenpaa, S. L., & Todd, P. A. (1996). Consumer reactions to electronic shopping on the World Wide Web. International Journal of Electronic Commerce, 1 (2), 59-88.
Korgaonkar, P.K., & Wolin, L.D. (1999). A multivariate analysis of Web usage. Journal of Advertising Research, 39 (2), 53-68.
Li, H., Kuo, C., & Rusell, M. G. (1999). The impact of perceived channel utilities, shopping orientations, and demographics on the consumer's online buying behavior. Journal of Computer-Mediated Communication, 5 (2), DOI: 10.1111/j.1083-6101.1999.tb00336.x
Maignan, I., & Lukas, B. A. (1997). The nature and social uses of the Internet: A qualitative investigation. The Journal of Consumer Affairs, 31 (2), 346-371. DOI: 10.1111/j.1745-6606.1997.tb00395.x
Mitchell V. -W. (1992). Understanding consumers' behavior: Can perceived risk theory help? Manage Decision, 30 (3), 26 - 31. DOI: 10.1108/00251749210013050
Mitchell, V. - W. (1999). Consumer perceived risk: Conceptualizations and models. European Journal of Marketing, 33(1/2), 163-195. DOI: 10.1108/03090569910249229
Naiyi, Y.E. (2004). Dimensions of consumer's perceived risk in online shopping. Journal of Electronic Science and Technology of China, 2 (3), 177-182.
Nayyar, R., & Gupta S. L. (2010). Impact of changing demographic profile of Indian consumers on their internet shopping behavior. Viewpoint, July - December, 2010. Retrieved from www.tmu.ac.in/gallery/managementjournal/final_inner_07.pdf
Oberndorf, S. (1996). A new breed of catalogers. Catalog Age, 13 (12), 560.
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.
Phillips, L. W., & Sternthal, B. (1977). Age difference in information processing: A perspective on the aged consumers. Journal of Marketing Research, 14 (4), 444-457.
Reinecke, L. F., & Ronald. E. G. (1993). Identifying innovations in consumer service market. Journal of Service Industries, 13 (3), 97-109.
Roselius, T. (1971). Consumer ranking of risk reduction methods. Journal of Marketing, 35 (1), 56-61.
Saroja, S. (2010, February 21). The risks in online shopping. The Hindu. Retrieved from http://www.thehindu.com/features/metroplus/the-risks-in-online-shopping/article110192.ece
Schiffiman L., & Kanuk L., (2003). Consumer behaviour (pp. 44-69, 8th Ed.). Prentice Hall: New Jersey.
Sharma, S., & Sitlani, M. (2013). Online shopping among higher educated students in Indore: A factor analysis approach. Indian Journal of Marketing, 43(1), 44-53.
Shimp T.A., & Bearden, W.O. (1982). Warranty and other extrinsic cue effects on consumers' risk perceptions. Journal of Consumer Research, 9 (1), 38- 46.
Slyke, C. V., Comunale, C. L., & Belanger, F. (2002). Gender differences in perceptions of web-based shopping. Communications of the ACM, 45 (8), 82-86. DOI>10.1145/545151.545155
Spence, H. E., Engel, J.F., & Blackwell, R.D. (1970). Perceived risk in mail - order and retail store buying. Journal of Marketing Research, 7 (3), 364-369.
Stafford, T. F., Turan, A., & Raisinghani, M. S. (2004). International and cross-cultural influences on online shopping behavior. Journal of Global Information Management, 7 (2), 70-87.
Suresh, A.M., & Shashikala, R. (2011). Identifying factors of consumer perceived risk towards online shopping in India. 3rd International Conference on Information and Financial Engineering (IPEDR, Vol. 12, pp. 336 - 341). Singapore: IACSIT Press.
Sweeney, J. C., Soutar, G. N., & Johnson, L. W. (1999). The role of perceived risk in the quality-value relationship: A study in a retail environment. Journal of Retailing, 75 (1), 77 - 105. DOI : http://dx.doi.org/10.1016/S0022-4359(99)80005-0
Swinyard, W. R., & Smith, S. M, (2003). Why people (don't) shop online: A lifestyle study of the internet journal of consumer. Psychology and Marketing, 20 (7), 567-597. DOI: 10.1002/mar.10087
Torkzadeh, G., & Dillion, G. (2002). Measuring factors that influence the success of Internet commerce. Information Systems Research, 13 (2), 187-204.
Zhang L., Tan, W., Xu, Y., & Tan, G. (2012). Dimensions of consumers' perceived risk and their influences on online consumers' purchasing behavior. Communications in Information Science and Management Engineering, 2 (7), 8-14.
Zhao, Y., Pugh, K., Sheldon, S., & Byers, J. L. (2002). Conditions for classroom technology innovations. Teachers College Record, 104 (3), 482-515.