Effect of Product Type and Recommendation Approach on Consumers’ Intention to Purchase Recommended Products

Yi-Cheng Ku, Chih-Hung Chan, Chin-Sheng Yang

2013

Abstract

Many e-stores offer product recommendation service to increase sales and customers’ satisfaction. However, the performance of recommendation system will be influenced by the consumers’ judgments on recommended products. The purpose of this study is to investigate the effect of product type and recommendation approach on consumers’ intention to purchase recommended products. A laboratory experiment was conducted to collect empirical data and ANCOVA was adopted to test the research hypotheses. We found that there are significant interaction effects between recommendation approach and recommended product type on consumers’ willingness to buy the recommended products and their disconfirmation of the recommended products, while the consumers’ self-monitoring degree was a covariate variable. Before experiencing the products, consumers’ willingness to buy search goods recommended by the top-N approach is significantly higher than those recommended by the collaborative-filtering recommendation approach. On the other hand, after experiencing the products, consumers’ disconfirmation of the experience goods recommended by the top-N approach is also significantly higher than those recommended by the collaborative-filtering recommendation approach. Besides, among the products recommended by the top-N approach, the disconfirmation of experience goods is significantly higher than that of search goods. The results of this study provide valuable implications for researchers and practitioners.

References

  1. Aggarwal, P., Vaidyanathan, R., 2005. Perceived effectiveness of recommendation agent routines: search vs. experience goods. International Journal of Internet Marketing and Advertising, 2(1-2), pp.38-55.
  2. Anderson, R. E., 1973. Consumer dissatisfaction: The effect of disconfirmed expectancy on perceived product performance. Journal of Marketing Research, 10 (1), pp.38-44.
  3. Cadotte, E. R., Woodruff, R. B., Jenkins, R. L., 1987. Expectations and norms in models of consumer satisfaction. Journal of Marketing Research, 24(3), pp.305-314.
  4. Chiang, K. P., Dholakia, R. R., 2003. Factors driving consumer intention to shop online: an empirical investigation. Journal of Consumer Psychology, 13(1-2), pp.177-183.
  5. Dodds, W. B., Monroe, K. B., and Grewal, D. 1991. Effects of price, brand, and store information on buyers' product evaluations. Journal of Marketing Research, 28(3), pp.307-319.
  6. Fishbein, M., Ajzen, I., 1975. Belief, attitude, intention and behavior: an introduction to theory and research. MA: Addison-Wesley.
  7. Grewal, D., Krishnan, R., Baker, J., and Borin, N. 1998. The effect of store name, brand name and price discounts on consumers' evaluations and purchase intentions. Journal of Retailing, 74(3), pp. 331-352.
  8. Gupta, B., Lai, F. C., Pal, D., Sarkar, J., and Yu, C. M., 2004. Where to locate in a circular city? International Journal of Industry Organization, 22(6), pp.759-782.
  9. Im, I., Hars, A., 2001. Finding information just for you: knowledge reuse using collaborative filtering systems. In Proceedings of the Twenty-Second International Conference on Information Systems, pp.349-360.
  10. Mudambi, S. M., Schuff, D., 2010. What makes a helpful online review? A study of customer reviews on amazon.com. MIS Quarterly, 34(1), pp.185-200.
  11. Nelson, P., 1970. Information and consumer behaviour. Journal of Political Economy. 78(2), pp.311-329.
  12. Schafer, J.B., Konstan, J., and Riedl, J., 1999. Recommender systems in e-commerce. In Proceedings of the first ACM conference on Electronic Commerce, pp.158-166.
  13. Schiffman, L. G., Kanuk, L. L., 1999. Consumer behavior, 7th Edition, Pearson Education.
  14. Senecal, S., Nantel, J., 2004. The influence of online product recommendations on consumers' online choices. Journal of Retailing, 80(2), pp.159-169.
  15. Snyder M., 1974. Self-monitoring of expressive behavior. Journal of Personality and Social Psychology, 30(4), pp.526 - 537.
  16. Snyder, R. A. and Williams, R. R., 1982. Self theory: an integrative theory of work motivation. Journal of Occupational Psychology, 55(4), pp.257-267.
  17. Snyder, M., Gangestad, S., 1986. On the nature of selfmonitoring: matters of assessment, matters of validity. Journal of Personality & Social Psychology 51(1), pp. 125-139.
  18. Venkatesh, V., Goyal, S., 2010. Expectation disconfirmation and technology adoption: polynomial modeling and response surface analysis. MIS Quarterly, 34(2), pp.281-303.
  19. Wang J. C., Lin, J. P., 2003. Are personalization systems really personal? - Effects of conformity in reducing information overload, In Proceedings of the 36th Hawaii International Conference on System Sciences.
  20. Wang, W., Benbasat, I., 2007. Recommendation agents for electronic commerce: effects of explanation facilities on trusting beliefs. Journal of Management Information Systems, 23(4), pp.217-246.
  21. Zhang, T., Agarwal, R., and Lucas, H. C. Jr., 2011. The value of IT-enabled retailer learning: personalized product recommendations and customer store loyalty in electronic markets. MIS Quarterly, 35(4), pp.859- 881.
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Paper Citation


in Harvard Style

Ku Y., Chan C. and Yang C. (2013). Effect of Product Type and Recommendation Approach on Consumers’ Intention to Purchase Recommended Products . In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8565-60-0, pages 475-480. DOI: 10.5220/0004442804750480


in Bibtex Style

@conference{iceis13,
author={Yi-Cheng Ku and Chih-Hung Chan and Chin-Sheng Yang},
title={Effect of Product Type and Recommendation Approach on Consumers’ Intention to Purchase Recommended Products},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2013},
pages={475-480},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004442804750480},
isbn={978-989-8565-60-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Effect of Product Type and Recommendation Approach on Consumers’ Intention to Purchase Recommended Products
SN - 978-989-8565-60-0
AU - Ku Y.
AU - Chan C.
AU - Yang C.
PY - 2013
SP - 475
EP - 480
DO - 10.5220/0004442804750480