Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/85829
Title: Developing a Theory of Diagnosticity for Online Reviews
Authors: Chua, Alton Yeow Kuan
Banerjee, Snehasish
Keywords: Review Diagnosticity
Online Reviews
Issue Date: 2014
Source: Chua, A. Y. K., & Banerjee, S. (2014). Developing a theory of diagnosticity for online reviews. Proceedings of The International MultiConference of Engineers and Computer Scientists (IMECS) 2014, 477-482.
Abstract: Diagnosticity of a given online review is defined as the extent to which it helps users make informed purchase decisions. Users’ perception of review diagnosticity can be associated with five factors, namely, review rating, review depth, review readability, reviewer profile and product type. Review rating refers to the numerical valence of reviews on a scale of one to five. Review depth refers to the quantity of textual arguments provided in reviews. Review readability measures the extent to which the textual arguments are comprehensible. Reviewer profile indicates the past track record of users who contribute reviews. Product type includes experience products and search products. Few studies hitherto have analyzed review diagnosticity taking into account all these factors concurrently. Hence, this paper attempts to augment prior research by developing a theory of diagnosticity for online reviews. The theory posits that review diagnosticity is shaped by the interplay among review rating, review depth, review readability and reviewer profile albeit differently between experience products and search products.
URI: https://hdl.handle.net/10356/85829
http://hdl.handle.net/10220/43861
URL: http://www.iaeng.org/publication/IMECS2014/IMECS2014_pp477-482.pdf
Rights: © 2014 International Association of Engineers (IAENG). This paper was published in Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS) 2014 and is made available as an electronic reprint (preprint) with permission of International Association of Engineers (IAENG). The published version is available at: [http://www.iaeng.org/publication/IMECS2014/IMECS2014_pp477-482.pdf]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Conference Papers

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