THE IMPACT OF REVIEW CONSENSUS AND ITS
VALANCE ON THE PERCEIVED
USEFULNESS OF ONLINE CONSUMER REVIEWS -
THE IMPORTANCE OF PRODUCT TYPE, PRODUCT
INVOLVEMENT AND GENDER
Master Thesis
Words themselves are innocuous - it is the
consensus that gives them true power.
(Gloria Naylor)
Agenda
Problem Statement OCR Usefulness Antecedents
Research Questions
Hypotheses & Conceptual Model Design & Product Choice
Sample & Conditions Plan of Analysis
Results
Takeaway points Implications
Problem Statement
Problem
great product offer offline & online
choice overload
lack of information about the available
alternatives, the product quality or supplier quality risk perceptions
Solution
OCRs are the second most
trusted source of information
after friends’ recommendations 1
influence consumer attitudes and
OCR Usefulness
OCR usefulness has a significant impact on consumers’ probability to
Antecedents
purchase decision is influenced by a set of OCRs
rather than a single review
Gender differences Product involvement:
high vs. low
the level of agreement or
disagreement among a group of people drives individual’s buying
behavior3
the level of perceived risk is not equal for all products
and services4 product type: search, experience &
credence Time of quality evaluation
before purchase after purchase
General possibility to assess the product quality
possible search properties experience properties
impossible experience or
Research Questions
How does the
OCR consensus impact OCRs usefulness perceptions?
valance of the OCR consensus (positive vs. negative) influence these
perceptions?
product type influence the evaluation of usefulness of an OCR set? gender influence the usefulness evaluation of an OCR set?
the level of involvement moderate the relationship between review
consensus and review usefulness?
OCR usefulness impact consumer´s purchase intentions?
Overall research question:
How do the OCR consensus and its valence influence the perceived OCR usefulness and behaviour intentions depending on the product
Hypotheses & Conceptual Model (1)
H1: The higher the perceived OCR usefulness, the higher the purchase intention.
H2a: The higher the review consensus or unbalance (both positive and negative) among the reviewers within a set of OCRs, the higher the perceived OCR usefulness of the same set.
H2b: Negative opinion consensus has a stronger positive impact on the perceived OCR usefulness compared to positive opinion consensus.
H3a: The more difficult it is for the customer to evaluate a certain product or service, the higher the perceived OCR usefulness.
H3b: The positive impact of OCR consensus on perceived usefulness is more pronounced for products and services which are difficult to evaluate like credence goods compared to products and services that are easier to evaluate like experience and search goods.
OCR Usefulness Purchase
Hypotheses & Conceptual Model (2)
H4: The positive impact of consensus information within a set of OCRs on perceived OCR usefulness tends to be higher when product involvement is low.
H5a: A set of OCRs is perceived as more useful by females than by males.
H5b: The positive impact of consensus information within a set of OCRs on perceived OCR usefulness tends to be higher for females than for males.
Design & Product Choice
OCR Consensus Product type
High positive OCR consensus
Low OCR consensus (both positive and
negative)
High negative OCR consensus Search to experience Condition 1 Condition 2 Condition 3
Experience to
credence Condition 4 Condition 5 Condition 6
Clothing Furni-ture Houses Vacation Restau-rants Child care services Repair services Legal Medi-cine
Easy to evaluate
Difficult to evaluate High in credence qualities
High in search qualities High in experience qualities
Product/ Service Evaluation Continuum Product Choice
Sample & Conditions
Sample
205 respondents (43% males
and 57% females)
age ranged between 16 and
64 years with an average of 28 years (66.3% between 21 and 27)
46.3% students and 42.8%
full-time employed
Plan of Analysis
Regression Analysis:
OCR Usefulness/Purchase Intention =
β0 + β1 × High Positive Consensus + β2 × High Negative Consensus + β3 ×
Product Type +
β4× (High Positive Consensus × Product Type) + β5 × (High Negative Consensus × Product Type) +
β6 × Involvement + β7× (Involvement × High Positive Consensus) + β8×
(Involvement × High Negative Consensus) +
β9 × Gender + β10 × (High Positive Consensus × Gender) + β11× (High Negative Consensus × Gender) + OCR Attitude + OCR Behavior + Age +
Income + ε
Mediation Analysis:
Results Regression Analysis
OCR Usefulness Purchase
Intentions OCR Consensus Valence 0.637** n.s. 0.429*** 0.514* 0.326* n.s. n.s.
The OCR usefulness significantly positively affects the purchase intention H1 is supported High positive OCR consensus positively affects the OCR usefulness, but the high negative
consensus does not H2a is partly supported
The OCR usefulness is higher for the laptop repair shop compared to the OCR usefulness for the
vacation H3a is supported
The positive impact of positive OCR consensus is higher for more involved customers H4 - the
a3 = 0.6375*** c´3 = 0.3035 b = 0.4028*** a1= 0.5893** a2 = 0.3712* c´2 = -1.6334*** c´1 = 0.4118**
Results Mediation Analysis
Conclusions: High positive consensus – partial mediation High negative consensus – partial mediation
Product type – full
mediation Purchase Intention Product Type Positive Consensus OCR Usefulness Purchase Intention Negative Consensus Product Type Positive Consensus c2 = -1.4839*** c1 = 0.6492** c3 = 0.5602** * p < .05, ** p < .01, *** p < .001 Negative Consensus Total effects
Takeaway points
OCR usefulness is positively affected by the high positive opinion
consensus
the high negative consensus set has no significant effect on the OCR
usefulness in the regression analysis
but shows a significant direct and indirect effect through the OCR
usefulness on the purchase intention in the mediation analysis
the total effect of the negative consensus set on the purchase
intention is way higher than this of the positive consensus
the perceived OCR usefulness is higher for goods which performance
is difficult to judge before and after purchase and use such as credence goods
Implications
show the customers a set of OCRs where the majority of the
reviewers share the same positive opinion regarding the product or service
invite customers to share their product experiences and opinions if
they are positive
showing a negative review as the first comment is not to recommend set an initial positive review should as an anchor for subsequent
evaluation
different treatment of high and low involved customers (click stream
data)
inviting customers to share their experience is even more important
Limitations & Further Research
Sample size age involvement level Involvement measure Product choice Reviews source of the review source ratings
References
1 Nielsen, (2013). The reviews are in: Yelp users are four-star consumers,
06.27.2013, available
at:
http://www.nielsen.com/us/en/newswire/2013/the-reviews-are-in--yelp-users-are-four-star-consumers.html
2 Cheung, Christy M.K., Matthew K.O. Lee, & Neil Rabjohn (2008). The
Impact of Electronic Word-of-Mouth - The Adoption of Online Opinions in Online Customer Communities. Internet Research, 18 (3), 229–47.
3 Kelley, H. H. (1967). Attribution theory in social psychology. In Nebraska
symposium on motivation, University of Nebraska Press: Lincoln, 192-238. 4 Nelson, P. (1970). Information and consumer behavior. Journal of
political economy, 78(2), 311-329.
Nelson, P. (1974). Advertising as information. Journal of political
economy, 82(4), 729-754.
Darby, M., & Karni, E. (1973). Free Competition and the optimal