Consumer’s Perceived Communicational Risks in Predicting Internet-Based Shopping Intention

Shahid Bashir, Manan Aslam, Faridah Ibrahim, Kamaljeet Kaur


It is widely known in the related literature that consumer’s perceived communicational risks act as a chief barrier to their online purchase decision. Though, in such regards, few of the most recent text focused precisely towards a modified fact that the consumer’s shopping intention may depend on their perceived communicational risks in an online trade. Still, a very little attention has been kept to this precise concept leaving an academic gap. This research aims to contribute towards closing the research issue as such. By gathering data through existing literature, the researchers probe into the total force. The findings uncovered that the global web vendors’ efforts to lessen certain types of communicational risks such as performance, financial, psychological and time will improve consumers’ intentions to purchase online. Consequently, the future researches are recommended to be undertaken in order to explore and refine the measurement scales used to measure perceived communicational risk and online purchase intention. Moreover, a longitudinal study is also recommended to discover how the consumers’ behavioral intention toward Internet changes over time due to the rapid development of this communicational technology.

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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 (1): 325–331.

Akaah, J., & Korgaonkar, P. (1998). A conjoint investigation of the relative importance of risk relievers in direct marketing. Journal of Advertising Research , 28 (4): 38–44.

Akram, M. S. (2008). How perceive risk affects online purchase intention: Consumer's prospective. Aix-en-Provence Cedex 2, France: Institut d’Administration des Entreprises.

Arslan Y., Geçti F. and Zengin H. (2013) Examining Perceived Risk and Its Influence on Attitudes: A Study on Private Label Consumers in Turkey, Asian Social Science, 9(4). Retrieved from

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

Bhatnagar, A., & Ghosh, S. (2004). A latent class segmentation analysis of E-Shoppers. Journal of business research , 57 (7): 758-767.

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

Biswas, A., & Biswas, D. (2004). The diagnostic role of signal in the context of perceived risks in online shopping: Do signals matter more on the web? Journal of Interactive Marketing,18 (3): 30-45.

Brosdahl, D. J., & Almousa, M. (2013). Risk perception and internet shopping: Comparing United States and Saudi Arabian consumers. Journal of Management and Marketing Research, 1(1): 1-17.

Cheng, F.-F., Liu, T.-Y., & Wu, C.-S. (2013). Perceive risk and risk reduction strategies in online group buying. Proceeding of international conference on technology innovation and industrial management (pp. 18-25). Phuket, Thailand: TIIM.

Corbitt, B. J., Thanasankit, T., & Yi, H. (2003). Trust and e-commerce: A study ofconsumer perception. Electron. Commerce Research Application , 2 (1): 203–215.

Cox, D. F. (1967). Risk taking and information handling in consumer behavior. Boston: Graduate School of Business Administration, Harward University.

Cox, D. F., & Rich, S. (1964). Perceived risk and consumer decision making. Journal of MarketingResearch , 1 (1): 32–39.

Dabhade, A. (2008). Antecedents of older consumers' internet shopping for apparel products: perceived risk and benefits and shopping orientation. Auburn, Alabama: Auburn University.

Forsythe, M. S., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business Research , 56 (1): 867– 875.

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

Fram, E. H., & Grady, D. B. (1997). Internet shoppers: Is there a surfer gender gap? Direct Marketing , 59 (9): 6-50.

Hong, B., & Cha, H. S. (2013). The mediating role of consumer trust in an online merchant inpredicting purchase intention. International Journal of Information Management , 3 (2013): 927– 939.

Hong, Z., & Yi, L. (2012). Research on the Influence of Perceived Risk in Consumer Online Purchasing Decision. physics procedia , 24 (1): 1304-1310.

Jacoby, P., & Kaplan, L. B. (1972). JThe components of perceived risk. College Park, MD: Association for Consumer Research.

Janssen, C. (2014). Online Marketing. Retrieved August 19, 2014, from

Jarvenpaa, S. L., & Leidner, D. E. (1999). Communication and trust in global virtual teams. Organised Science , 10 (6): 791–815.

Jarvenpaa, S. L., Tractinsky, J., & Vitale, M. (2000). Consumer trust in and Internetstore. Information Technology. Management, 1 (1): 45–71.

Jasper, C., & Ouellette, S. (1994). Consumer’s perception of risk and the purchase of apparel from catalogs. Journal of Direct Marketing , 8 (2): 23-36.

Lee, D., Park, J., & Ahn, J. (2001). Lee,On the explanation of factors affecting e- commerce adoption . Lee, D., Park J., & Ahn, J. (2001)Proceedings of the 22nd Information Conference on Information Systems , (pp. 109-120). New Orleans, LA.

Lee, M., & Schuele, C. (2010). Demographics. In N. Salkind (Ed.), Encyclopedia of research design. (pp. 347-348). Thousand Oaks, CA: SAGE Publications, Inc. doi:

Liao, Z., & Cheung, M. T. (2001). Internet-basede-shopping and consumer attitudes: an empirical study. Information and Management, 38 (5): 299–306.

Miyazaki, A. D., & Fernandez, A. (2001). Consumer perceptions of privacy and security risks for online shopping. The Journal of Consumer Affairs , 35 (1): 27–44.

Moore, S. S. (2004). Perceived performance risk and its influence on abondoned cart syndrom (ACS)- An exploratory study. Brisbane, Qeensland, Australia: Queensland University of Technology.

Moorman, C., Deshpandé, R., & Zaltman, G. (1993). Factors affecting trust in market research relationships. Journal of Marketing , 57: 81–101.

Murray, K. B. (1991). A test of services marketing theory: consumer information acquisition activities. Journal of Marketing, 55 (1): 10– 25.

Naiyi, Y. (2004). Dimensions of Consumer’s Perceived Risk in Online Shopping. Journal of Electronic Science and Technology of China , 2 (3): 177-182.

Nepomuceno, M. V., Laroche, M., & Richard, M.-O. (2013). 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: 1-11.

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.

Peterson, R. A., Balasubramanian, S., & Bronnenberg, B. J. (1998). Exploring the implications of the Internet to consumer marketing. Journal of Acadamic Marketing Science, 25 (4): 329– 46.

Roselius, T. (1971). Consumer ranking of risk reduction methods. Journal of Marketing , 35 (1):55-61.

Saunders, M., Lewis, P., & Thornhill, A. (2009). Research methods for business students (5th edn). London: Pearson Education.

Spence, H. E., Engel, J. F., & Blackwell, R. D. (1970). Perceived risk in mail-order and retail store buying. Journal of Marketing Research , 7 (1): 364–9.

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. 12 (336-341). Singapore: IACSIT Press.

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

Taylor, J. W. (1974). The role of risk in consumer behavior. Jornal of Marketing , 38 (1): 54–60.

Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(4): 561-570.

Torkzadeh, G., & Dillion, G. (2002). Measuring factors that influence the success of Internet commerce. Information Systems Research , 13 (2): 187-204.

Wolhandler, H. C. (1999, May). Real numbers behind ’Net Profits. Retrieved May 2, 2014, from ActivMedia Res:

Yu, U.-J. (2009). Relationship of body satisfaction to virtual product experience and perceived risk of product performance in online and multi-channel apparel shopping. Ames, Iowa: Iowa State University.


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