International Journal of Marketing and Business Communication

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A Comparative Study of Online Shopping Behaviour: Effects of Perceived Risks and Benefits


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1 Student, School of Business Management and Economics, University of Sussex, United Kingdom
2 Research Scholar, Business School, University of Kashmir, Jammu & Kashmir
     

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This study investigates the role of perceived risks and benefits in influencing the consumer's purchase decision process during online shopping in UK and India. The purpose of this research is 1) to examine the relationship between consumer's beliefs (British and Indian) regarding online shopping risks and benefits and their attitude towards online purchase of products, 2) to study the relationship between consumer's attitude and intention of online purchase of products, and 3) to explore differences between British and Indian consumers in terms of the perceived benefits and risks towards online shopping. The study revealed support for the significant relationships for both Indian and British consumers between perceived risks and benefits and attitude towards online shopping. Significant differences in perceived risks and benefits associated with Internet shopping between Indian and British consumers were also observed. While Indian consumers perceived more risks than British consumers the benefits of Internet shopping perceived by Indians were found to be significantly less.

Keywords

Risks, Benefits, British, Indian, Online Shopping, Attitude
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  • Ajzen, I. & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. New Jersey: Prentice-Hall.

  • Alba, J., Lynch, J., Weitz, B., Janiszewski, C., Lutz, R. & Wood, S. (1997). Interactive home shopping: Consumer, retailer, and manufacturer incentives to participate in electronic marketplaces. Journal of Marketing, 61(3), 38-53.

  • Amstrong, A. & Hagel, J. III (1996).The real value of online communities. Harvard Business Review, May/ June, 74(3), 134-141.

  • Anand, P. & Sternthal, B. (1990). Ease of message processing as a moderator of repetition. Journal of Marketing Research, 27(3), 345-353.

  • Benassi, P. (1999). Truste: An online privacy seal program. Communication ACM, 42(2), 56-59.

  • Bhatnagar, A. & Ghose, S. (2004). Segmenting consumers based on the benefi ts and risks of Internet shopping. Journal of Business Research, 57(12), 1352-1360.

  • Bhatnagar, A., Misra, S. & Rao, H. R. (2000). On risk, convenience and Internet shopping behavior. Communication of the ACM, 43(11), 98-105.

  • Burke, R. R. (1997). Do you see what I see? The future of virtual shopping. Journal of the Academy of Marketing Science, 25(4), 352-361.

  • Chattopadhyay, A. & Basu, K. (1990). Humor in advertising: The modelling role of prior brand evaluation. Journal of Marketing Research, 27(4), 466-476.

  • Derbaix, C. (1983). Perceived risk and risk relievers: An empirical investigation. Journal of Economic Psychology, 3(1), 19-38.

  • Dillman, D. A. (2000). Mail and Internet Surveys. New York: Wiley.

  • Eastlick, M. A. & Feinberg, R. A. (1999). Shopping motives for mail catalogue shopping of competing theories. Electronic Commerce Research and Applications, 6(4), 433-442.

  • Eastlick, M. & Feinberg, R. (1999). Shopping motives for mail catalog shopping. Journal of Business Research, 45(3), 281-290.

  • Festervand, T. Y., Snyder, D. N. & Tsalikis, J. D. (1986). Infl uence of catalogue vs store shopping and prior satisfaction on perceived risk. Journal of Academy of Marketing Science, 14(4), 28-37.

  • Forsythe, S., Liu, C., Shannon, D. & Gardner, L. C. (2006). Development of a scale to measure the perceived benefi ts and risks of online shopping. Journal of Interactive Marketing, 20(2), 55-75.

  • Forsythe, S. M. & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business Research, 56(11), 867-875.

  • Fram, E. H. & Grady, D. B. (1997). Internet shoppers: Is there a surfer gender gap? Direct Marketing, 59(9), 46-50.

  • Girard, T., Korgaonkar, P., and Silverblatt, R. (2003), Relationship of type of product, shopping orientations, and demographics with preference for shopping on the Internet, Journal of Business and Psychology, Vol. 18 No. 1, pp. 101-120.

  • Ghosh, S. (1998). Marketing business sense of the internet. Harvard Business Review, March-April, 26(2), 127-135.

  • Gill, J. D., Grossbart, S. & Laczniak, R. N. (198). Infl uence of involvement, commitment and familiarity on beliefs and attitudes of viewers exposed to alternative Ad claim strategies. Journal of Advertising, 17(2), 33-43.

  • Hassan, A. M., Kunz, M. B., Pearson, A. W. & Mohamed, F. A. (2006). Conceptualization and measurement of perceived risk in online shopping. The Marketing Management Journal, 16(1), 138-147.

  • Hoffman, D. L. & Novak, T. P. (1996). Marketing in hyper- mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50-68.

  • Hofstede, G. H. (1984). Culture’s Consequences: International Differences in Work-Related Values, Newbury Park, CA: Sage Publications.

  • Horton, R. L. (1976). The structure of decision risk: Some further progress. Journal of Academic Marketing Science, 4(4), 94-706.

  • Holbrook, M. B. & Batra, R. (1987). Assessing the role of emotions as mediators of consumers responses to advertising. Journal of Consumer Research, 14(3), 404-420.

  • India to have 3rd largest number of Internet users by 2013. (2009). Retrieved from http://articles.timesofi ndia.indiatimes. com/2009-07-26/india-business/28171189_1_ internet-users-online-population-asian-markets (accessed on June 7, 2011).

  • Jacoby, P. & Kaplan, L. B. (1972). The components of perceived risk. In M. Venkatesan, (ed.), Third Conference of Association for Consumer Research (pp. 382-393). College Park, MD: Association for Consumer Research

  • Jarvenpaa, S. L. & Todd, P. A. (1996). Consumer reaction to electronic shopping on the world wide web. International Journal of Electronic Commerce, 1(2), 59-88.

  • Korgaonkar, P., Silverblatt, R. & Becerra, E. (2004). Hispanics and patronage preferences for shopping from the internet. Journal of Computer-Mediated Communication, 9(3).

  • Keeney, R. L. (1999). The value of internet commerce to the Customer. Managment Science, 45(4), 533-545.

  • Lee, D., Park J. & Ahn, J. (2001). On the Explanation of Factors Affecting E-Commerce Adoption. Proceedings of the 22nd Information Conference on Information Systems (pp. 109-120). New Orleans, LA.

  • Lim, J. S., Darley, W. & Summers, J. O. (1994). An assessment of country of origin effects under alternative presentation format. Journal of the Academy of Marketing Science, 22(3), 274-182.

  • Lim, N. (2003). Consumers’ perceived risk: Sources versus consequences. Electronic Commerce Research and Applications, 2(3), 216-228.

  • Lynch, J. G. & Ariely, D. (2000). Wine online: Search costs affect competition on price, quality and distribution. Journal of MarketingScience,19(1), 83-103.

  • MacKenzie, S. B. & Lutz, R. J. (1989). An empirical examination of the structural antecedents of attitude toward the ad in an advertising pretesting context. Journal of Marketing,53(2), 48-65.

  • Malls Going to the Wall as Internet Shopping becomes More Popular. (2011). Retrieved from http://www. news.com.au/business/malls-going-to-the-wall-asinternet- shopping-becomes-more-popular/story-e6frfm1i- 1226075407253 (accessed on June 7, 2011).

  • Marganosky, M. A. & Cude, B. J. (2000). Consumer response to online grocery shopping. International Journal of Retail and Distribution Management, 28(1), 17-26.

  • McCorkle, D. E. (1990). The role of perceived risk in mail order catalogue shopping. Journal of Direct Marketing, 4(4), 26-35.

  • Menon, S. & Kahn, B. E. (1995). The impact of context on variety seeking in product choices. Journal of Consumer Research, 22(3), 285-295.

  • Miller, N. G. (2000). Retail leasing in a web enabled world. Journal of Real Estate Portfolio Management, 6(2), 167-184.

  • Mulpuru, S. (2011). US Online Retail Forecast, 2010 To 2015. Retrieved from http://www.forrester.com/rb/ Research/us_online_retail_forecast,_2010_to_2015/q/ id/58596/t/2 (accessed on June 7, 2011).

  • Online Retailing Gathers Steam in India. Retrieved from http://www.businessstandard.com/india/news/onlineretailing- gathers-steam-inindia/359627/ (accessed on April 20, 2011).

  • Park, C. & Jun, J. K. (2003). Effects of internet usage, perceived risks, and innovativeness. International Marketing Review, 20(5), 534-553.

  • Quelch, J. A. & Klein, L. R. (1996). The internet and international marketing. Sloan Management Review, Spring, 37(3), 60-75.

  • Ramus, K. & Nielsen, N. A. (2005). Online grocery retailing: What do consumers think? Internet Research, 15(3), 335-352.

  • Resnick, P., Zeckhauser, R., Friedman, E. & Kuwabara, K. (2000). Reputation Systems. Communications of the ACM, 43(12), 45-48.

  • Simpson, L. & Lakner, H. B. (1993). Perceived risk and mail order shopping for apparel. Journal of Consumer Studies and Home Economics, 17(4), 377-389.

  • 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.

  • 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.

  • Tan, S. J. (1999). Strategies for reducing consumers’ risk aversion in internet shopping. Journal of Consumer Marketing, 16(2), 163-180.

  • Taylor, C. R., Gordon, E. M. & Wilson, R. D. (1997). The impact of information level on the effectiveness of U.S. & Korean television commercials. Journal of Advertising, 26(1), 1-18.

  • Thomson, R. (2009). E-Commerce Worth £56bn by 2014, Says Forrester. Retrieved from http://www. computerweekly.com/Articles/2009/03/03/235107/Ecommerce- worth-16356bn-by-2014-says-Forrester. htm (accessed on June 7, 2011).

  • Torkzadeh, G. & Dillion, G. (2002). Measuring factors that infl uence the success of internet commerce. Information Systems Research, 13(2), 187-204.

  • Van den Poel, D. & Leunis, J. (1999). Consumer acceptance of the Internet as a channel of distribution. Journal of Business Research, 45(3), 249-256.

  • Verhoef, P.C. & Langerak, F. (2001) Possible determinants of consumers’ adoption of electronic grocery shopping in The Netherlands, Journal of Retailing and Consumer Services, 8, 275-85.

  • Vijayasarathy, L. R. & Jones, J. M. (2000). Print and internet catalog shopping: Assessing attitudes and intentions. Internet Research, 10(3), 191-202.

  • Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Information Management, 41(6), 747-762.

  • Wigder, Z. D. (2010). Forrester’s First-Ever Online Retail Forecast for Asia Pacifi c Now Live. Retrieved from http://blogs.forrester.com/zia_daniell_wigder/10- 10-27-forresters_first_ever_online_retail_forecast_ for_asia_pacifi c_now_live. (accessed on June 7, 2011).

  • Wolfi nbarger, M. F. & Gilly, M. C. (2001).Shopping online for freedom, control and fun. California Management Review, 43(2), 34-55.


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  • A Comparative Study of Online Shopping Behaviour: Effects of Perceived Risks and Benefits

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Authors

Sajid Nazir Wani
Student, School of Business Management and Economics, University of Sussex, United Kingdom
Sheeba Malik
Research Scholar, Business School, University of Kashmir, Jammu & Kashmir

Abstract


This study investigates the role of perceived risks and benefits in influencing the consumer's purchase decision process during online shopping in UK and India. The purpose of this research is 1) to examine the relationship between consumer's beliefs (British and Indian) regarding online shopping risks and benefits and their attitude towards online purchase of products, 2) to study the relationship between consumer's attitude and intention of online purchase of products, and 3) to explore differences between British and Indian consumers in terms of the perceived benefits and risks towards online shopping. The study revealed support for the significant relationships for both Indian and British consumers between perceived risks and benefits and attitude towards online shopping. Significant differences in perceived risks and benefits associated with Internet shopping between Indian and British consumers were also observed. While Indian consumers perceived more risks than British consumers the benefits of Internet shopping perceived by Indians were found to be significantly less.

Keywords


Risks, Benefits, British, Indian, Online Shopping, Attitude

References