Perceived helpfulness of online consumer reviews: The role of message content and style: Perceived helpfulness of online consumer reviews

By R. Schindler, Barbara A. Bickart. 2012

261 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Sociology and Political Science, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/f92909b50f42168ae18dc67c0428f61f8b497831

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Arpita Agnihotri
2. Zhiwei Liu
3. Sangwon Park
4. Han Zhang
5. Samuel D. Bond
6. Dezhi Yin
7. Saurabh Bhattacharya

In Sociology and Political Science

1. Han Zhang
2. Dezhi Yin
3. Arpita Agnihotri
4. Saurabh Bhattacharya
5. Zhiwei Liu
6. Sangwon Park
7. Samuel D. Bond
8. Raffaele Filieri

In Human-Computer Interaction

1. Arpita Agnihotri
2. Zhiwei Liu
3. Sangwon Park
4. Han Zhang
5. Samuel D. Bond
6. Dezhi Yin
7. Saurabh Bhattacharya

Citations in the corpus

• What makes a useful online review? Implication for travel product websites. (2015, background): “Schindler and Bickart (2012) stated that the message contents and styles are vital factors which make the reviews appealing to consumers.”
• Keep Your Cool or Let it Out: Nonlinear Effects of Expressed Arousal on Perceptions of Consumer Reviews (2017, background): “More recently, an emerging stream has begun to explore verbal expressions of emotion, which are highly prevalent in reviews and can exert substantial impact on reader judgments (Schindler and Bickart 2012).”
• Online Review Helpfulness: Role of Qualitative Factors (2016, background): “Second, in extant literature positive and negative sentimental cues have been examined separately for their effectiveness, Schindler and Bickart, 2012; Tang et. al, 2014).”
• Predicting the performance of online consumer reviews: A sentiment mining approach to big data analytics (2014, unknown): “Length of a review is an important predictor of its performance (Mudambi and Schuff 2010; Schindler and Bickart 2012).”
• The role of self-determination theory in marketing science: An integrative review and agenda for research (2019, unknown): “…to explore how customers' positive and negative online reviews can in fl uence a loyal customer's repurchase intentions compared to a new customer's purchase intention when both customers are actually pursuing intrinsic versus extrinsic goals (Park, Lee, & Han, 2007; Schindler & Bickart, 2012).”