Are Consumers More Likely to Contribute Online Reviews for Hit or Niche Products?

Dellarocas, Chrysanthos; Gao, Guodong; Narayan, Ritu

doi:10.2753/mis0742-1222270204

Cited by 256 publications

(140 citation statements)

References 23 publications

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“…Combined, these two parameter estimates indicate that consumers are more likely to share opinions when the experienced product quality to be either very high or very low. This finding echoes the polar effect observed by Anderson (1998) in an offline setting and by several researchers in an online setting (Dellarocas et al 2010;Dellarocas and Narayan 2006;Moe and Schweidel 2012). Furthermore, we also find that consumers are more interested in rating products with higher prices (β 6 > 0) and products handled and shipped out in a timely manner (β 7 < 0).…”

Section: Resultssupporting

confidence: 68%

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Disconfirmation Effect on Online Rating Behavior: A Dynamic Analysis

Tan

2014

SSRN Journal

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This research studies the effect of "disconfirmation"-the discrepancy between the expected and experienced quality of the same product-on the behavior of consumers leaving product reviews in an online setting. Specifically, we posit that an individual's pre-purchase expectation is driven by the product ratings she observes and the credibility of the review system she perceives at the time of purchases. Upon product consumption, the individual obtains post-purchase evaluation and uses this information to confirm/disconfirm with her expectation. We extend the Bayesian learning framework to model the individual perception of the system credibility as how closely the ex-ante expectation matches the ex-post evaluation. Incorporating such dynamic perception in raters' decisions allows us to better understand the chance of consumer engagement in sharing product experience over time. We estimate the proposed model using a rich data set comprising compete purchasing and rating activities made by 361 individuals on an e-commerce website. Our results show that consumer participation in leaving product reviews is subject to the disconfirmation effect. The further an individual's post-purchase evaluation deviates from her pre-purchase expectation, the more likely she is to express her own opinions about the product. Our results also show that online consumers tend to be less active with respect to posting reviews as they perceive the system to be more precise over time. From simulations, we highlight 1) the dissimilar effects of disconfirmation and experienced quality on consumer rating behavior; 2) various evolutionary patterns of product ratings over time; and 3) the effect of fake, inflated ratings on subsequent rating entries.

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Section: Resultssupporting

confidence: 68%

“…Along this line, Dellarocas et al (2010) further suggest that movie goers are more prone to post review for the most or least popular movies measured by box office revenues.…”

Section: Literature Reviewmentioning

confidence: 96%

Disconfirmation Effect on Online Rating Behavior: A Dynamic Analysis

Tan

2014

SSRN Journal

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“…This may also trigger a concentration towards one dominant app in every genre as higher quality is rewarded with further opportunities to capitalize on it. So while keeping entry barriers low helps keeping up the "long tail" (Anderson 2006), bandwagon behavior (Dellarocas et al 2010, Duan et al 2009) may also lead to a "superstar effect" (Rosen 1981).…”

Section: Interpretation Of the Resultsmentioning

confidence: 99%

The Effects of Rewarding User Engagement: The Case of Facebook Apps

Claussen

Kretschmer

Mayrhofer³

2013

Information Systems Research

172

111

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Abstract:We study the market for apps on Facebook, the dominant social networking platform, and make use of a rule change by Facebook by which highly engaging apps were rewarded with further opportunities to engage users. The rule change led to new applications with significantly higher user ratings being developed. Moreover, user ratings became more important drivers of app success. Other drivers of app success are also affected by the rule change; sheer network size became a less important driver for app success, update frequency benefitted apps more in staying successful, and active users of Facebook apps declined less rapidly with age. Our results show that social media channels do not necessarily have to be managed through hard exclusion of participants, but can also be steered through "softer" changes in reward and incentive systems.

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“…Nuestra intención es verificar empíricamente esta hipótesis, mediante una metodología cuantitativa que se inscribe en la línea de estudios sobre la distribución de evaluaciones en línea de bienes culturales (PASQUIER et al, 2014;PELTIER et TOURE, 2013;BASTARD et al 2012;DELLAROCAS et al 2010). Sobre un corpus delimitado de libros (1000 nuevas novelas publicadas en Francia entre el 28 de agosto de 2012 y el 26 de octubre de 2012), hemos recogido en abril de 2014, a partir de la base bibliográfica Electre concebida para los profesionales del libro y la edición, todas las informaciones disponibles sobre el libro en sí (título, autor, ISBN, editor, distribuidor, género, lengua original) y sobre las críticas provenientes de medios tradicionales (extractos de novelas emitidos en televisión, en la prensa escrita y en la radio), que hemos comparado con los datos extraídos de Babelio (críticas, notas, nota media).…”

Section: Un Estudio De Caso: La Red Babeliounclassified

Críticas de lectores en las redes sociales literarias francófonas: ¿hacia una polarización de la prescripción?

Wiart

2016

TEXTO DIGITAL

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http://dx.doi.org/10.5007/1807-9288.2016v12n2p145Nacida de la web social, toda una generación de redes dedicadas al libro propone modos de utilización y sociabilidad organizados en torno a la prescripción. Al poner a disposición de los internautas un conjunto de herramientas de crítica, catalogación, interacción, exploración y documentación en torno a los libros y la lectura, estas redes desarrollan lógicas específicas de producción, distribución y evaluación de la información literaria.

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Are Consumers More Likely to Contribute Online Reviews for Hit or Niche Products?

Cited by 256 publications

References 23 publications

Disconfirmation Effect on Online Rating Behavior: A Dynamic Analysis

Disconfirmation Effect on Online Rating Behavior: A Dynamic Analysis

The Effects of Rewarding User Engagement: The Case of Facebook Apps

Críticas de lectores en las redes sociales literarias francófonas: ¿hacia una polarización de la prescripción?

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