ON THE HELPFULNESS OF PRODUCT REVIEWS - An Analysis of Customer-to-Customer Trust on eShop-Platforms

Georg Peters, Vasily Andrianov

Abstract

In the last decade the market share of online stores in the retail sector has risen constantly and partly replaced traditional face-to-face shops in cities and shopping malls. One reason is that the cost structure of online shops is lower than of classic shops since the latter have to finance physical stores and sales personnel. On the one hand, this often leads to a strategic cost advantage and results lower selling prices. On the other hand, online stores normally do not provide personal consulting services as in traditionally face-to-face shops. However, online shops have established different forms of product consulting to compensate the missing personal advice of the sales persons in a physical shop - examples are product related hotlines or online chatrooms. An even cheaper possibility is to establish a recommendation system where previous buyers are invited to write reviews on a product. Some eShops even provide some kind of cascading system: a product review written by a customer can be classified as helpful or not by other customers. In our research we focus on this second cascade. The objective of our paper is to analyze if there are structures or rules that make product reviews written by customers helpful for other customers.

References

  1. Amazon (2008). Amazon.com - Anual Report 2007.
  2. Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of Marketing Research, 4:291-295.
  3. Bone, P. (1995). Word-of-mouth effects on short-term and long-term product judgements. Journal of Business Research, 32:213-223.
  4. Carr, O. and Estival, D. (2002). Text classification of formatted text documents. In Proceedings of the 2002 Australian Natural Language Processing Workshop.
  5. Cattell, R. (1966). The scree test for the number of factors. Multivariate Behaviorial Research, 1:245-276.
  6. DuBay, W. (2004). The Principles Of Readability. Impact Information.
  7. Flesch, R. (1949, 1974). The art of readable writing. New York.: Harper.
  8. Homer, P. and Yoon, S. (1992). Message framing and the interrelationships among ad-based feelings, affect, and cognition. Journal of Advertising, 21(1):19-33.
  9. Klare, G. (1981). Readability indices: do they inform or missform? Information Design Journal, 2:251-255.
  10. McKnight, D., Choudhury, V., and Kacmar, C. (2002). Developing and validation trust measures for ecommerce: an integrative typology. Information Systems Research, 13:334-359.
  11. McLaughlin, G. (1969). Smog grading a new readability formula. Journal of reading, 22:639-646.
  12. Park, C. and Lee, T. (2008). Information direction, website reputation and ewom effect: A moderating role of product type. Journal of Business Research.
  13. Peters, G., Damm, M., and Weber, R. (2007). Consumerto-consumer trust in e-Commerce - Are there rules for writing helpful product reviews. In ICEIS 2008 - Proceedings of the Tenth International Conference on Enterprise Information Systems, Volume SAIC, pages 61-66.
  14. Scott, S. and Matwin, S. (1998). Text classification using wirdnet hypernyms. In Harabagui, S., editor, Use of WordNet in Natural Language Processing Systems: Proceedings of the Conference., pages 38-44. Association for Computational Linguistics, Sinmerset, New Jersey.
  15. Wang, F. and Head, M. (2007). How can the web help build customer relationships? Information & Management, 44:115-129.
  16. Westbrook, R. (1987). Product/consumption-based affective responses and postpurchase processes. Journal of Marketing Research, 24:258-270.
  17. Whitelaw, C. and Patrick, J. (2004). Selecting systematic features for text classification. In Proceedings of the Australian Language Technology Workshop 2004. Australian Speech Science & Technology Association Inc., Macquarie University, Sydney.
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Paper Citation


in Harvard Style

Peters G. and Andrianov V. (2009). ON THE HELPFULNESS OF PRODUCT REVIEWS - An Analysis of Customer-to-Customer Trust on eShop-Platforms . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 978-989-8111-87-6, pages 41-46. DOI: 10.5220/0001858800410046


in Bibtex Style

@conference{iceis09,
author={Georg Peters and Vasily Andrianov},
title={ON THE HELPFULNESS OF PRODUCT REVIEWS - An Analysis of Customer-to-Customer Trust on eShop-Platforms},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 4: ICEIS,},
year={2009},
pages={41-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001858800410046},
isbn={978-989-8111-87-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 4: ICEIS,
TI - ON THE HELPFULNESS OF PRODUCT REVIEWS - An Analysis of Customer-to-Customer Trust on eShop-Platforms
SN - 978-989-8111-87-6
AU - Peters G.
AU - Andrianov V.
PY - 2009
SP - 41
EP - 46
DO - 10.5220/0001858800410046