International Journal on Customer Relations

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Impact of Demographics of Consumers Towards Online Shopping: A Comparative Study of Online Consumers in India and Us


Affiliations
1 Prestige Institute of Management and Research, Indore, Madhya Pradesh, India
     

   Subscribe/Renew Journal


In spite of having a considerable number of Internet users and growing organised retail market; the online retailing in India is less than that in USA. It has been speculated that non-availability of proper technology and demographic variables might be the reason for lesser online shopping. Thus, it is important to understand the difference between the perception of USA and Indian online consumers. This study mainly focuses on age, gender, and income group parameters to study the difference between USA and Indian online consumers. Online survey was done to collect the data from the two countries.

Keywords

Shopping, Age, Income, Gender.
Subscription Login to verify subscription
User
Notifications
Font Size


  • AcNielsen (2009). Indians beat world in cyber . [online document].

  • Allen, C. (2000). Effective online merchandising techniques. Retrieved from http://www.clickz.com/cgi-bin/gt/print.html?article=2892

  • Alreck, P., & Settle, R. B. (2002). Gender effects on internet, catalogue and store shopping. Journal of Database Marketing, 9, 150-162.

  • Awad, N. F., & Rogowsky, A. (2008). Establishing trust in electronic commerce through online word of mouth: An examination across genders. Journal of Management Information Systems, 24(4), 101-121.

  • Bailay, R. (2003). In India, shopping takes on a whole new meaning. Wall Street Journal (Eastern edition).

  • Cao, X., & Mokhtarian, P. L. (2005). The Intended and Actual Adoption of Online Purchasing: A Brief Review of Recent Literature. Research Report UCD-ITSRR05-07, Institute of Transportation Studies, University of California, D. Retrieved from http://www.its.ucdavis. edu/publications/2005/UCD-ITS-RR-05-07.pdf.

  • Chang, M., Cheung, W., & Lai, V. S. (2005). Literature derived reference models for the adoption of online shopping. Information & Management, 42, 543-559.

  • Chiang, K. P., & Dholakia, R. R. (2003). Factors driving consumer intention to shop online: An empirical investigation. Journal of Consumer Psychology, 13(1&2), 177-183.

  • Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motives for online retail shopping behavior. Journal of Retailing, 77, 511-535.

  • Cyr, D., & Bonanni, C. (2005). Gender and website design in e-business. International Journal of Electronic Business, 3(6), 565-582.

  • Cyr, D., Hassanein, K., Head, M., & Ivanov, A. (2007). The role of social presence in establishing loyalty in e-service environments. Interacting with Computers,, 19(1), 43-56.

  • Desai, A. (2006). Adaptive India-Changing Market scenario. European Association for Comparative Economics Studies EACES 9th Bi-Annual Conference: Development Strategies-A Comparative View.

  • E-marketer (2002). Estate. Retrieved from http://www.emarketer.com/eStats.

  • Farag, S., Weltevreden, J., van Rietbergen, T., Dijst, M., & van Oort, F. (2006a). E-shopping in the Netherlands: Does geography matter? Environment and Planning B, 33, 59-74.

  • Farag, S., Krizek, K. J., & Dijst, M. (2006b). E-shopping and its relationship with in-store shopping: Empirical evidence from the Netherlands and the U.S. Transport Reviews, 26, 43-61.

  • Fram, E. H., & Grandy, D. B. (1997). Internet shoppers: Is there a surfer gender gap?. Direct Marketing, 59(1), 46-50.

  • Forrester Research Inc. (2002). "NRF/Forrester online research index." Cambridge, MA: Forrester Research, Inc. [Online]. Retrieved from http://www.forrester.com.

  • InternetRetailer.com (2008). E-commerce sales rise 19% last year in U.S. Retrieved from http://www.Internetretailer.com/article.asp?id=25549.

  • Garbarino, E., & Johnson, M. S. (1999). The different roles of satisfaction, trust, and commitment in customer relationships. Journal of Marketing, 63(2), 70-88.

  • Gefen, D., & Straub, D. (2003). Managing user trust in B2C e-services. E-Service Journal, 2(2), 7-24.

  • Hoffman, D. L., Novak, T. P., & Peralta, M. (1999). Building consumer trust online. Communications of the ACM, 42(4), 80-85.

  • Hernández, B., Jiménez, J. M., & Martín, J. (2011). Age, gender and income: Do they really moderate online shopping behaviour? Follow Online Information Review, 35(1), 21. Emerald Publishing.

  • IAMAI, (2006). Online shopping becomes latest fad in India. E-commerce Report 2006, [Online document]. Retrieved from http://www.i4donline.net/news/newsdetails.asp?catid=5&newsid=5207

  • Jarvenpaa, S. L., & Todd, P. A. (1997). Consumer reactions to electronic shopping on the World Wide Web', International Journal of Electronic Commerce, 1(2), 59-88.

  • Joines, J. L., Scherer, C. W., & Scheufele, D. A. (2003). Exploring motivations for consumer Web use and their implications for e-commerce. Journal of Consumer Marketing, 20(2/3), 90-108.

  • Juxtconsult (2008). Understanding on-line Indians and their net usage behaviours and preferences. India online 2009, [online document]. Retrieved from www.juxtconsult.com.

  • Kim, J., & Lee, J. (2002). Critical design factors for successful e-commerce systems. Behaviour and Information Technology, 21(3), 185-189.

  • Kim Y. M., & Shim K. Y. (2002). The influence of intent shopping mall characteristics and user traits on purchase intent. Iris Mark. Rev., 15, 25-34.

  • Kunz, M.B. (1997). On-line customers: identifying store, product and consumer attributes which influences shopping on the Internet. Published doctoral dissertation. The University of Tennessee, Knoxville.

  • MasterCard worldwide (2008). Economic Crisis and Preference for Online Shopping in Asia/Pacific, Middle East and Africa. [online document]. Retrieved from http://www.zdnetasia.com/news/internet/0,39044908,62 043095,00.html.

  • Mathwick, C., Malhotra N., & Rigdon, E. (2001). Experiential value: Conceptualization, measurement and application in the catalog and internet shopping environment. Journal of Retailing, 77, 39-56.

  • Mehta, R., & Sivadas, E. (1995). Direct marketing on the Internet: An empirical assessment of consumer attitudes. Journal of Direct Marketing, 9(3), 21-32.

  • Nucifora, A. (1997). Despite the hype, Internet numbers add up. Business News, 46(19).

  • Ostrowski, P. J. (2009). A Determination of Non-Functional Shopping Motivations of Y-Generation Online Shoppers, 127.

  • Peterson, R. A., Balasubramanian, S., & Bronnenberg, B. J. (1997). Exploring the implications of the Internet for consumer marketing. Journal of the Academy of Marketing Science, 25, 329-346.

  • Pew Research Center (2001). More online, doing more: 16 million newcomers gain Internet access in the last half of 2000 as women, minorities, and families with modest incomes continue to surge online. Retrieved July 24, 2001. [Online]. Available: http://www.pewinternet.org/reports/ toc.asp?Report=30.

  • Ranganathan, C., and Ganapathy, S. (2002). Key dimensions of business-to-customer web sites. Information & Management, 39, 457-465.

  • Rodgers, S. & Harris, M. A. (2003). Gender and e-commerce: An exploratory study. Journal of Advertising Research, 43(3), 322-329.

  • Roha, R. R., & Henry, E. (1998). These home business are smokin'. Kiplinger's Personal Finance Magazine, 52(3), 142-149.

  • Shergil, G. S., & Chen, Z. (2005). Web-based shopping: consumers' attitudes towards online shopping in New Zealand. Journal of Electronic Commerce Research, 6(2), 79-94.

  • Srivastava, R. K. (2008). Changing retail scene in India. International Journal of Retail and Distribution Management, 36(9), 714-721.

  • Sultan, F., & Henrichs, R. B. (2000). Consumer preferences for Internet services over time: Initial explorations. The Journal of Consumer Marketing.

  • Swaminathan, V., Lepowska W. E., & Rao, B. P. (1999). Browsers or buyers in cyberspace? An investigation of factors influencing electronic exchange. Journal of Computer Mediated Communication, 5, 208-221.

  • Than, C. R., & Grandon, E. (2002). An exploratory examination of factors affecting online sales. Journal of Computer Information Systems, 42(3), 87-93.

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

  • Xia, L., & Kent B. Monroe (2004). Price Partitioning on the Internet. Journal of Interactive Marketing, 18(4), 63-73.

  • Cao, X. J., Douma, F., Cleavel, F., & Xu, Z. (2012). The Interactions between E-Shopping and Store Shopping: A Case Study of the Twin Cities Final Report

  • Venkatesh, V., & Morris, M. G. (2000). Why don't men ever stop to ask for directions? Gender, social influence and their role in technology acceptance and usage behaviour. MIS Quarterly, 24(1), 115-139.

  • www.emeraldinsight.com

  • www.dur.ac.uk

  • www.oft.gov.uk

  • www.Xianfengmousrainbow.wordpress.com

  • www.ukessays.co.uk

  • http://www.amsreview.org/articles/putrevu10-2001.pdf

  • http://www.emarketer.com/analysis/ecommerce_b2c/20010228_b2c.html

  • http://www.pewInternet.org/reports/toc.asp

  • http://www.twnic.net.tw/download/200307/0801.pdf.


Abstract Views: 816

PDF Views: 2




  • Impact of Demographics of Consumers Towards Online Shopping: A Comparative Study of Online Consumers in India and Us

Abstract Views: 816  |  PDF Views: 2

Authors

Bharti Motwani
Prestige Institute of Management and Research, Indore, Madhya Pradesh, India
Sharda Haryani
Prestige Institute of Management and Research, Indore, Madhya Pradesh, India
Sukhjeet Matharu
Prestige Institute of Management and Research, Indore, Madhya Pradesh, India

Abstract


In spite of having a considerable number of Internet users and growing organised retail market; the online retailing in India is less than that in USA. It has been speculated that non-availability of proper technology and demographic variables might be the reason for lesser online shopping. Thus, it is important to understand the difference between the perception of USA and Indian online consumers. This study mainly focuses on age, gender, and income group parameters to study the difference between USA and Indian online consumers. Online survey was done to collect the data from the two countries.

Keywords


Shopping, Age, Income, Gender.

References