The goal of this study is to analyze the impact, if any, these two types of incentivization-based reviews have on the perception of the review by the review reader, because these reviews could have a bias or at least could be perceived to have one. For this, the metric of review helpfulness, which is the percentage of helpful votes a review has collected from its readers, is analyzed accounting for a number of independent and confounding variables. Another aspect that is analyzed in the course of this study is the role of the product in this regard.
This study is structured as follows: in 2. Literature Review the overarching research domain electronic word-of-mouth is illustrated and previous studies about the helpfulness of online consumer reviews and found effects are presented. Also, credibility in the context of electronic word-of-mouth is discussed. In the course of 3. Conceptual Background two theories used to develop the tested hypotheses are described, one of which is frequently used in context of the helpfulness of online consumer reviews. After this, the theoretical importance of the three most important observed variables in the statistical model is explained and the tested hypotheses are developed accordingly.
Data Analysis, a comprehensive outline about the entire empirical aspects of this study is given, including the choice of confounding variables, decisions in regard to the data collection, sample finalization, regression diagnostics and the final results of the hypotheses tests.
Table of Contents
1. Introduction
2. Literature Review
2.1. Electronic Word-of-Mouth
2.2. Online Consumer Reviews
3. Conceptual Background
3.1. Underlying Theories
3.1.1. Dual-Process Theory
3.1.2. Attribution Theory
3.2. Model Development
3.2.1. Review Helpfulness
3.2.2. Product Type
3.2.3. Review Type
3.3. Hypotheses Development
4. Data Analysis
4.1. Empirical Design
4.1.1. Data Collection
4.1.2. Variables
4.2. Analysis and Results
4.2.1. Data Preparation
4.2.2. Results
5. Implications, Limitations and Future Research
5.1. Managerial Implications
5.2. Limitations of the Study
5.3. Future Research Directions
6. Concluding Remarks
Objectives & Themes
This thesis investigates the impact of incentivized review programs—specifically Amazon’s Vine program and general incentivized reviews—on consumer perception and review helpfulness. The research seeks to determine whether consumers perceive these reviews as biased and how different product types (search vs. experience goods) moderate this effect, utilizing the heuristic-systematic model and attribution theory to explain reader behavior.
- The influence of incentivization cues on review helpfulness.
- The moderating role of product type in information processing.
- Attribution theory and its application to consumer bias assessment.
- Empirical analysis of review data from Amazon.co.uk.
- Managerial recommendations for marketplace operators and brand owners.
Excerpt from the Book
3.3. Hypotheses Development
As pointed out above, Nelson's (1970) product type predetermines the complexity of the buying decision of a product by affecting motivation and, especially, ability of the message recipient to process information, which are predetermined by individual and situational factors. This, in turn, will also predetermine the standard mode of information search and attitude adoption for this product in the understanding of the heuristic-systematic model. For experience products the buying decision will generally be harder, because of the lower ability to process information. On the one hand, this will induce more heuristic processing for these products, and, among other things, the source credibility will, thus, play a special role. On the other hand, for search products the buying decision will generally be easier due to the higher ability to process information. This will induce more systematic processing for search products and the importance will at least partially shift away from source credibility and to the message validity. In this regard, it is important to point out again that attitude adoption never happens exclusively by systematic or heuristic processing. The two extremes of heuristic and systematic information processing should rather be thought of as a spectrum, instead of two mutually exclusive alternatives (Eagly and Chaiken, 1993, p. 328). Also, this study is about aggregate data and since individual abilities to process information varies, there are no clear boundaries between systematic or heuristic processing and, thus, also between search and experience products.
Summary of Chapters
1. Introduction: Discusses the phenomenon of information overload in e-commerce and the role of online consumer reviews as a driver of consumer behavior.
2. Literature Review: Provides an overview of electronic word-of-mouth (eWOM) and existing research on review helpfulness, credibility, and the influence of various review characteristics.
3. Conceptual Background: Introduces dual-process theory and attribution theory as frameworks to analyze how consumers process and perceive incentivized versus regular reviews.
4. Data Analysis: Documents the empirical design, data collection from Amazon.co.uk, and the methodology of the regression model used to test the developed hypotheses.
5. Implications, Limitations and Future Research: Discusses the results, offers strategic advice for marketplace participants, and outlines limitations and potential avenues for future empirical studies.
6. Concluding Remarks: Summarizes the thesis, emphasizing that consumers accurately recognize incentivized reviews, which negatively impacts their perception and helpfulness ratings.
Keywords
Amazon, Vine reviews, incentivized reviews, review helpfulness, electronic word-of-mouth, eWOM, attribution theory, dual-process theory, search goods, experience goods, consumer perception, source credibility, information diagnosticity, regression analysis, online retail.
Frequently Asked Questions
What is the core focus of this research?
The work examines how different types of reviews—specifically regular reviews, Amazon Vine reviews, and incentivized reviews—influence consumer perception and their evaluation of review helpfulness on Amazon marketplaces.
What are the primary themes covered in this thesis?
Key topics include the impact of incentivization cues on consumer bias, the role of product types (search vs. experience goods) in information processing, and the application of social psychology theories to e-commerce behavior.
What is the primary objective of the study?
The goal is to analyze whether incentivization-based reviews affect how readers perceive the helpfulness of a review, testing for expectancy confirmation effects related to biased content.
Which scientific methodology is utilized?
The author performs an empirical analysis using an ordinary least squares (OLS) regression model on a large dataset of reviews collected from Amazon.co.uk.
What does the main body of the work address?
The main part develops a conceptual model using dual-process and attribution theories, outlines the data collection and cleaning process, and presents the regression diagnostics and results of the hypotheses testing.
Which keywords best characterize the work?
Key terms include Amazon, review helpfulness, incentivized reviews, eWOM, source credibility, and attribution theory.
How do consumers perceive incentivized reviews compared to regular ones?
The study finds that consumers are capable of recognizing incentivized and Vine reviews, which leads to a decrease in their perceived helpfulness, particularly for experience products.
What is the 'expectancy confirmation effect' mentioned in the thesis?
It refers to the process where a review reader forms a prior expectancy about a review's bias based on an incentivization cue; if the review is positive, this expectancy is confirmed, reducing the review's perceived validity.
Why are experience products more impacted by negative review perceptions?
Because these products are harder to evaluate objectively, consumers rely more on heuristic information processing, making them more sensitive to source credibility and potential bias.
- Arbeit zitieren
- Tom Keller (Autor:in), 2016, Honest and Unbiased. The Helpfulness of Vine and Incentivized Reviews on Amazon, München, GRIN Verlag, https://www.grin.com/document/1019775
