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Predictors of Online Consumer Behavior


Affiliations
1 Department of Management, AITS, Rajkot, Gujarat., India
2 Department of Business Management, Saurashtra University, Rajkot, Gujarat., India
     

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Customers are no more common for industries. They are available online as well as offline. Almost a decade back, customers used to purchase physically. Now-a-days, their level of awareness regarding the applicability of internet is enhanced. Now, they are habituated to surf an internet to satisfy their categorical needs. Customers are purposive and know the benefits of an internet. But question is, would they like to have the adequate trust on the various applications of an internet. Are they satisfied? Are they aware? Are they safe? There are so many questions arising in our mindset. Main motto is to know whether the various predictors like gender, age, income, qualification, work experience, residence, price, quality, time affect to the online customer purchasing. All customers have the differences in availing services of an internet. There are many ISP (Internet Service Providers) which offers wired as well as wireless internet connections to the customers. All customers have different views regarding the selection of a specific ISP. Online customer accesses internet for the services like email, news, stock market, games, songs, videos, movies etc. Based on their varied interests, they define their goal of purchasing. Sometimes, accessibility on an internet depends over the most likely-able internet facilitators like web browser, internet speed, Wi-Fi etc. Ultimately, B2C Model - businesses need to understand all these points to justify the desires of colorful customers.

Keywords

ISP (internet Service Provider), Wireless, Web Browser, WI-FI (wider Fidebility), B2C (business-to-customer)
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  • AT & T Labs-Research Technical Report TR 99.4.3. Retrieved from http://www.research.att.com/project/privacystudy.
  • Balfour, A., Farquhar, B. & Langmann, G. (1998). The Consumer Needs in Global Electronic Commerce. Electronic Markets, 8(2), pp. 9-12.
  • Corbitt, B. J., Thanasankit, T., & Yi, H. (2003). Trust and E-Commerce: A Study of Consumer Perceptions. Selected Papers from the Pacific Asia Conference on Information Systems, 2(3), pp. 203-215.
  • Cranor, L. F., Reagle, J. & Ackerman. M. S. (1999). Beyound Concern: Understanding Net Users’ Attitude about Online Privacy.
  • Chaffey, D., Ellis, C. F., Johnston, K., & Mayer, R. (2009). Internet Marketing, New Delhi: Pearson. CPA Web Trust Assurance. Journal of Information Systems, 14(1), pp. 17-35.
  • Davis, F. D. (1989). Perceived Usefulness, Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), pp. 319-340.
  • Goldman, S. (2000). B2B & Internet Infrastructure Software: United States: The New York Public Library.
  • Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in Online Shopping: An Integrated Model.
  • MIS Quarterly, 27(1), pp. 51-90.
  • Hanson, W., & Kalyanam, K. (2009). E-Commerce and Web Marketing. New Delhi: Cengate Learning.
  • Hoffman, D. L. & Novak, T. P. (2009). Flow Online: Lessons Learned and Future Prospects. Journal of Interactive Marketing, 23(1), pp. 23-34.
  • Hoffman, D. L. & Novak, T. P. (1996). Perspectives: The Future of Interactive Marketing. Harvard Business Review, November-December, 74, pp. 161.
  • Jarvenpaa, S. L. & Todd, P. A. (1997).
  • Consumer Reactions To Electronic Shopping on the World Wide Web. International Journal of Electronic Commerce, 2, pp. 59-88.
  • Jedd, M. (2000). Sizing Up Home Delivery. Logistics Management & Distribution Report, pp. 51.
  • Kalakota, Dr. R., and Robinson, M. (2009). E-Business 2.0. New Delhi: Pearson Education , Inc.
  • Kovar, S. E., Burke, K. G. & Kovar, B. R. (2000). Consumer Responses to the
  • Kim, D. J., Song, Y. I., Braynov, S.B. & Rao, H. R. (2005). A Multidimensional Trust Formation Model in B-to CE-Commerce: A Conceptual Framework and Content Analyses of Academia/Practitioner Perspectives. Decision Support Systems, 40, pp. 143-165.
  • Liu, C. & Arnett, K. P. (2000). Exploring the Factors Associated with Web Site Success in the Context of Electronic Commerce. Info & Mng., 38(1), pp. 23-33.
  • Rao. D.Venkoba (2006), Determinants of Purchase Behaviour of Online Consumers. Osmania Journal of Management Saunders, L., Kumar, A. & Odom, M. D. (2002). Journal of Information Systems, ISSN 0888-7985, 16(2), pp. 255-257

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  • Predictors of Online Consumer Behavior

Abstract Views: 198  |  PDF Views: 3

Authors

Nishant V. Vachhani
Department of Management, AITS, Rajkot, Gujarat., India
Sanjay Bhayani
Department of Business Management, Saurashtra University, Rajkot, Gujarat., India

Abstract


Customers are no more common for industries. They are available online as well as offline. Almost a decade back, customers used to purchase physically. Now-a-days, their level of awareness regarding the applicability of internet is enhanced. Now, they are habituated to surf an internet to satisfy their categorical needs. Customers are purposive and know the benefits of an internet. But question is, would they like to have the adequate trust on the various applications of an internet. Are they satisfied? Are they aware? Are they safe? There are so many questions arising in our mindset. Main motto is to know whether the various predictors like gender, age, income, qualification, work experience, residence, price, quality, time affect to the online customer purchasing. All customers have the differences in availing services of an internet. There are many ISP (Internet Service Providers) which offers wired as well as wireless internet connections to the customers. All customers have different views regarding the selection of a specific ISP. Online customer accesses internet for the services like email, news, stock market, games, songs, videos, movies etc. Based on their varied interests, they define their goal of purchasing. Sometimes, accessibility on an internet depends over the most likely-able internet facilitators like web browser, internet speed, Wi-Fi etc. Ultimately, B2C Model - businesses need to understand all these points to justify the desires of colorful customers.

Keywords


ISP (internet Service Provider), Wireless, Web Browser, WI-FI (wider Fidebility), B2C (business-to-customer)

References