The impact of online reviews on hotel booking intentions and perception of trust
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- Findingown data§ Abstract
Consumers are more influenced by negative information encountered early, particularly when the overall review set is negative.
“Consumers seem to be more influenced by early negative information, especially when the overall set of reviews is negative.”
Quote in the paperSubstantial claim- Rests on an assumption: The order manipulation, placing two positive or two negative reviews first, successfully creates the intended framing without a separate manipulation check.
- Findingown data§ Abstract
Trust is higher when a positively framed review set focuses on interpersonal service.
“Higher levels of trust are also evident when a positively framed set of reviews focused on interpersonal service.”
Quote in the paperSubstantial claim- Rests on an assumption: The order manipulation, placing two positive or two negative reviews first, successfully creates the intended framing without a separate manipulation check.
- Findingown data§ 4.2.1: Booking intentions
Within overall poor reviews, framing had a significant effect on booking intention, with positive frame resulting in more favourable booking intention than negative frame.
“There was a significant effect F(1,519) = 12.74, p < .001for framing on booking intention within the valenced overall poor reviews, with a positively framed review resulting in a more favourable booking intention than a negative framed review (small effect size r = .19).”
Quote in the paperSubstantial claim - Findingown data§ 5. Discussion
Ratings interacted with framing to produce differential effects on booking intentions and trust.
“However, this characteristic did interact with framing to produce differential effects.”
Quote in the paperSubstantial claim - Findingown data§ 4.2.2: Trust in the hotel
In the positively framed condition, trust was greater when reviews were about customer service rather than core features.
“For the frame x target interaction (Fig. 3), simple effects tests, F(1,479) = 6.22,p = .013showed that trust was greater when the reviews were about customer service rather than core features within the positively framed condition (small effect size r = .16)”
Quote in the paperSubstantial claim
- Findingown data§ 5. Discussion
The inclusion or exclusion of ratings alone did not result in an effect on booking intentions or trust.
“The inclusion or exclusion of ratings alone did not result in an effect on booking intentions or trust.”
Quote in the paperSubstantial claim - Findingown data§ about here
In the positively framed condition, booking intention was greater when reviews contained ratings versus no ratings.
“For the frame x rating interaction (Fig. 2), simple effects tests, F(1,519) = 4.35, p = .038,showed that booking intention was greater when the reviews contained ratings versus no ratings for the positively framed condition (small effect size r = .14)”
Quote in the paperSubstantial claim - Findingreasoning§ 5. Discussion
In respect of an overall positive valence for a set of reviews, booking intentions remained constant despite positive or negative frames.
“In respect of an overall positive valence for a set of reviews, booking intentions remained constant despite positive or negative frames.”
Quote in the paperSubstantial claim - Findingown data§ 4.2.2: Trust in the hotel
There was a significant frame x target interaction on trust.
“Two significant interaction effects were found: frame x target, F(1, 466) = 7.97, p = .005,partial η 2 = .017(small effect); and frame x rating, F(1, 466) = 3.83, p = .051,partial η 2 = .008(small effect).”
Quote in the paperNot a substantial claim - Findingown data§ 4.2.1: Booking intentions
There was no significant difference in booking intention between positive and negative valence within the positively framed condition.
“there was no significant difference within the positively framed condition, F(1,519) = 1.13 p =.288.”
Quote in the paperSubstantial claim - Findingown data§ 4.2.1: Booking intentions
There was no significant effect of framing on booking intention within predominantly favourable reviews.
“No significant effect was evident for framing within the predominantly favourable reviews F(1,519) = .00p =.985.”
Quote in the paperNot a substantial claim - Findingown data§ 4.2.2: Trust in the hotel
Valence had a significant main effect on trust, with higher trust for positive valence than negative valence.
“There was a significant main effect associated with the valence manipulation, F(1, 466) = 6.17, p = .013,partial η 2 = .013(small effect)”
- Also stated in: § 4.2.2: Trust in the hotel · plain
“Ratings of trust were higher in the positive valence (M = 3.88, SD = 1.24) than in the negative valence (M = 3.57, SD = 1.24) condition.”
Quote in the paperSubstantial claim - Also stated in: § 4.2.2: Trust in the hotel · plain
- Findingown data§ 4.2.1: Booking intentions
In the negative framed condition, booking intention was greater when reviews were predominantly positive than negative.
“For the frame x valence interaction (Fig. 1), simple effects tests, F (1,519) = 21.13,p < .001,showed that booking intention was greater when the reviews were predominantly positive than negative in the negative framed condition (small to medium effect size r = .26foot_0)”
Quote in the paperSubstantial claim - Findingown data§ 4.2.1: Booking intentions
There was a significant frame x rating interaction on booking intention.
“Two significant interaction effects were found for booking intention: frame x valence, F(1, 506) = 4.72, p = .030,partial η 2 = .009(small effect), and frame x rating, F(1, 506) = 5.11, p = .024,partial η 2 = .01(small effect).”
Quote in the paperSubstantial claim - Findingown data§ 5. Discussion
A positively framed set of reviews together with the inclusion of ratings resulted in significantly higher levels of booking intentions and trust in the target hotel.
“A positively framed set of reviews together with the inclusion of ratings resulted in significantly higher levels of booking intentions and trust in the target hotel.”
Quote in the paperSubstantial claim - Findingown data§ 4.2.2: Trust in the hotel
Framing had a significant effect on trust when the target of reviews was about customer service incidents.
“Framing had a significant effect within target, F(1,479) = 14.12, p < .001,when the target of reviews was about customer service incidents (small effect size r = .24).”
Quote in the paperSubstantial claim - Findingreasoning§ 5. Discussion
When the overall set of reviews was valenced negatively, the effect was intensified (lower booking intent) when there was also a negative frame.
“When the overall set of reviews was valenced negatively the effect was intensified (that is, lower booking intent) when there was also a negative frame.”
Quote in the paperSubstantial claim - Findingown data§ about here
There was no significant difference in booking intention between ratings present and absent within the negatively framed condition.
“there was no significant difference within the negatively framed condition, F (1,519) = 1.25 p = .264.”
Quote in the paperSubstantial claim - Findingown data§ 4.2.1: Booking intentions
There was a significant frame x valence interaction on booking intention.
“Two significant interaction effects were found for booking intention: frame x valence, F(1, 506) = 4.72, p = .030,partial η 2 = .009(small effect), and frame x rating, F(1, 506) = 5.11, p = .024,partial η 2 = .01(small effect).”
Quote in the paperSubstantial claim - Findingreasoning§ 5. Discussion
Even when reviews were valenced overall bad, booking intentions were relatively high in a positive frame compared to a negative frame.
“Interestingly, even when the reviews were valenced overall bad, booking intentions were relatively high in a positive frame compared to a negative frame.”
Quote in the paperSubstantial claim - Findingown data§ 4.2.2: Trust in the hotel
There were no significant effects of ratings (included or excluded) on trust within either positive or negative framing.
“There were no significant effects for ratings (included or excluded) within either positive F(1,479) = 1.71, p = .192,or negative F(1,479) = 2.86, p = .091framing.”
Quote in the paperNot a substantial claim - Findingown data§ 4.2.2: Trust in the hotel
There was no significant difference in trust between customer service and core features within the negatively framed condition.
“there was no significant difference within the negatively framed condition, F(1,479) = .89,p = .346.”
Quote in the paperSubstantial claim - Findingown data§ 4.2.2: Trust in the hotel
There was no effect of framing on trust within core incidents.
“No effect for framing within core incidents was evident, F(1,479) = .04,p = .835.”
Quote in the paperNot a substantial claim - Findingown data§ 5. Discussion
Higher levels of trust were recorded with a positively framed set of reviews that were mainly about service issues.
“Higher levels of trust were recorded with a positively framed set of reviews that were mainly about service issues.”
Quote in the paperSubstantial claim - Premisereasoning§ 2.1 Booking intent and perceptions of trust
Consumer reviews provide vicarious access to prior service experience on which consumers can base trust that a firm will deliver quality service.
“Consumer reviews, found on travel and hospitality online communities, provide customers with vicarious access to prior service experience on which they can base their belief or trust that a firm will deliver quality service.”
Quote in the paperSubstantial claim - Interpretationown data§ Abstract
Consumers tend to rely on information that is easy to process when they evaluate a hotel from reviews.
“The results suggest that consumers tend to rely on easy-to-process information, when evaluating a hotel based upon reviews.”
Quote in the paperSubstantial claim - Premisecitation§ 2.1 Booking intent and perceptions of trust
Trust in a firm positively affects purchase intentions.
“Sichtmann (2007) and Comegys, Hannula and Väisänen (2009) found that trust in a firm positively affects purchase intentions.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Sichtmann, 2007 source
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- cites Comegys, Hannula and Väisänen, 2009
Not checked in the free run.
- Premisecitation§ 1. Introduction
Future consumers may rely on other consumer reviews because they are seen as relatively unbiased and independent from marketing personnel.
“Importantly, future consumers may rely on other consumer reviews as these are seen as relatively unbiased and independent from marketing personnel (Li & Bernoff, 2008).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Li & Bernoff, 2008
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- Interpretationcitation§ 1. Introduction
Online eWOM is likely to contribute to the development of reputation and trust.
“The online eWOM is likely to contribute to the development of reputation and trust.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Riegelsberger, Sasse and McCathy (2005) source
Not checked in the free run.
- Study design and conductown data§ 4.1 Manipulation checks
The manipulation checks confirmed convergent validity for the manipulations tested.
“The results for both ANOVAs confirmed convergent validity for the manipulations tested.”
Quote in the paperSubstantial claim - Premisecitation§ 1. Introduction
More consumers are willing to rely on eWOM as a key source of information about specific products.
“it appears more consumers are now willing to rely on eWOM as a key source of information about specific products (Litvin, Goldsmith & Pan, 2008).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Litvin, Goldsmith & Pan, 2008 source
Not checked in the free run.
- Premisecitation§ 2.3 Valence
Positive online reviews contribute significantly to an increase in hotel bookings.
“Ye, Law and Gu (2009), using hotel data, report that positive online reviews contribute significantly to an increase in hotel bookings.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ye, Law and Gu, 2009
Not checked in the free run.
- Study design and conductown data§ 4. Results
The trust scale had a Cronbach's alpha of .96.
“The Cronbach's alpha coefficient for the trust scale was .96.”
Quote in the paperNot a substantial claim - Premisecitation§ 2.5 Using categorical information for efficiency
Hotels with higher online star ratings receive more online bookings.
“Furthermore, it has been demonstrated that hotels with higher online star ratings receive more online bookings (Ye et al., 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ye et al., 2009
Not checked in the free run.
- Interpretationown data§ 5. Discussion
Framing tended to interact and contribute to variation of other independent variables.
“That is, framing tended to interact and contribute to variation of other independent variables.”
Quote in the paperSubstantial claim - Interpretationown data§ 5.1 Practical Implications
The effect of information such as overall valence, target of reviews and inclusion or exclusion of numerical ratings have differential effects based upon framing.
“The effect of information such as overall valence (positive or negative), target (content focus) of reviews and inclusion or exclusion of numerical ratings have differential effects based upon framing (negative positive).”
Quote in the paperSubstantial claim - Interpretationown data§ 5.1 Practical Implications
Two bits of easy-to-obtain information (framing and rating) work synergistically to produce either more or less positive ratings for both booking intentions and trust.
“It also appears that two bits of easy-to-obtain information work synergistically to produce either more or less positive ratings for both booking intentions and trust.”
Quote in the paperSubstantial claim - Premisecitation§ 3. Method
Experimental designs are useful for generalising about theoretical effects of variables rather than generalising statistical effects to wider populations.
“Experimental designs are useful for generalising about theoretical effects of variables rather than generalising statistical effects to wider populations (Highhouse, 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Highhouse, 2009 source
Not checked in the free run.
- Interpretationown data§ 5.1 Practical Implications
The occurrence of recent positive reviews can over-ride or moderate the effect of a set of negative reviews, in respect of booking intentions.
“However, an important finding of our research is that the occurrence of recent positive reviews can over-ride or moderate the effect of a set of negative reviews, in respect of booking intentions.”
Quote in the paperSubstantial claim - Interpretationcitation§ 5. Discussion
These results are consistent with propositions that people use categorical knowledge structures based on various schema, such as numerical ratings.
“Also, these results are consistent with propositions that people use categorical knowledge structures based on various schema (Macrae & Bodenhausen, 2001), such as numerical ratings.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Macrae & Bodenhausen, 2001
Not checked in the free run.
- Interpretationcitation§ 5. Discussion
Current results confirm the greater impact of negative information on consumer evaluations.
“Like other research, current results confirm the greater impact of negative information on consumer evaluations (e.g.Lee, Park & Han, 2008;Papathanassis & Knolle, 2010;Smith, Bolton & Wagner, 1999).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Lee, Park & Han, 2008
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- cites Papathanassis & Knolle, 2010
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- cites Smith, Bolton & Wagner, 1999
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- Interpretationcitation§ 5. Discussion
Customers will be more likely to trust firms whose employees engage in a positive way with customers to deliver good customer service.
“Customers will therefore be more likely to trust firms whose employees engage in a positive way with customers to deliver good customer service.”
Quote in the paperSubstantial claim - Interpretationown data§ 5. Discussion
Consumers appear to rely on peripheral information (especially influence of frame and valence) in forming judgements of the target product.
“Consumers appear to rely on peripheral information (especially influence of frame and valence) in forming judgements of the target product.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 5. Discussion
The use of categories or heuristics such as 'recent reviews' or 'numerical ratings' as indicators can assist in efficient information processing and potential decision making.
“Thus, it appears that the use of categories or heuristics such as 'recent reviews' or 'numerical ratings' as indictors can assist in efficient information processing and potential decision making.”
Quote in the paperNot a substantial claim - Interpretationown data§ 5. Discussion
More recent reviews (the frame of what is presented first) are likely to influence other characteristics of a set of reviews.
“In general, it is concluded that more recent reviews (the frame of what is presented first) are likely to influence other characteristics of a set of reviews.”
Quote in the paperSubstantial claim - Interpretationown data§ 5. Discussion
Findings point to more complicated effects with frame variable interacting with other variables such as valence, ratings and target to produce differential results for booking intent and trust.
“However, as evident in other research into the influence of framing (Dardis & Shen, 2008), findings of this study point to more complicated effects with the frame variable interacting with the other variables such as valence, ratings and target to produce differential results for booking intent and trust in hotel.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Dardis & Shen, 2008
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- Interpretationreasoning§ 5.1 Practical Implications
Consumers, to some extent, rely on easy-to-access and easy-to-process information when online.
“This finding adds to our understanding of the complex decision-making process consumers engage in when making purchase decisions and suggests that consumers, to some extent, rely on easy-to-access and easy-to -process information when online.”
Quote in the paperSubstantial claim - Interpretationcitation§ 5. Discussion
eWOM information such as online reviews can play an important role in reducing the uncertainty and the amount of information that must be processed to make a decision.
“This further supports the suggestion that eWOM information such as online reviews can play an important role in reducing the uncertainty and the amount of information that must be processed to make a decision (Chatterjee, 2001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Chatterjee, 2001
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- Study design and conductown data§ about here
The mean believability score was significantly higher than the neutral scale point.
“A one-sample t test demonstrated that the mean believability score (M = 5.21, SD = 1.03) was significantly higher than the neutral scale point, t(486) = 25.85,p <.001.”
Quote in the paperSubstantial claim - Interpretationown data§ 5. Discussion
Overall, a positively framed set of comments about the standards of customer service can engender perceptions of trust in the target hotel.
“Overall, it appears that a positively framed set of comments about the standards of customer service can engender perceptions of trust in the target hotel.”
Quote in the paperSubstantial claim - Interpretationown data§ 5.1 Practical Implications
The interaction effect between service features and framing indicates that focusing on improving service provided by employees can have a significant impact on improving the trust consumers have in a firm.
“The interaction effect between service features and framing indicates that focusing on improving service provided by employees can have a significant impact on improving the trust consumers have in a firm.”
Quote in the paperSubstantial claim - Study design and conductown data§ about here
Believability means did not vary significantly across the 16 simulated conditions.
“An ANOVA was also conducted to test whether the believability means varied across the 16 simulated conditions.No significant difference was found, F(15, 471) = 783, p = .70.”
Quote in the paperSubstantial claim
- May combine two claims. 34
- Classified as probably not a substantial claim. 30
- The quote only partly states this claim. 5
May combine two claims.
Findingown data§ 4.1 Manipulation checksThe target manipulation produced a main effect for target but not for valence.
“This revealed a main effect for target but not valence (see Table 2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 4. ResultsNo gender or age effects were found for the two dependent variables.
“we investigated whether there were any gender or age effects for the two dependent variables but none was found.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ AbstractA positively framed review set combined with numerical rating details raises both booking intentions and consumer trust.
“However, positively framed information together with numerical rating details increases both booking intentions and consumer trust.”
Quote in the paperSubstantial claim- Rests on an assumption: The order manipulation, placing two positive or two negative reviews first, successfully creates the intended framing without a separate manipulation check.
- Rests on an assumption: The presence or absence of numerical ratings is a valid manipulation that requires no additional test.
May combine two claims.
Findingown data§ 4.1 Manipulation checksThe valence manipulation produced a main effect for valence but not for target.
“Next, a 2 (valence) x 2 (target) ANOVA on the valence manipulation check item was conducted, which revealed a main effect for valence but not target (see Table 2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 4.1 Manipulation checksThe valence manipulation accounted for 8% of variance and the core target manipulation for 42%.
“the results reported in Table 2 show a moderate to strong effect size for the manipulations (8% of variance for valence and 42% of variance for core target, respectively)”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown data§ 4. ResultsPast online booking behaviour did not differ significantly by age.
“Similarly, there was no significant difference in past booking online behaviour by age of respondent.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 4.2.1: Booking intentionsValence had a significant main effect on booking intention, with higher booking intention for positive valence than negative valence.
“There was a significant main effect associated with the valence manipulation, F(1, 506) = 13.48,p < .001,partial η 2 = .026(small-moderate effect)”
- Also stated in: § 4.2.1: Booking intentions · plain
“Ratings of booking intentions were higher in the positive valence (M = 3.81, SD = 1.65) than in the negative valence (M = 3.22, SD = 1.67) condition.”
Quote in the paperSubstantial claim- Also stated in: § 4.2.1: Booking intentions · plain
Probably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Findingown data§ 4.2.2: Trust in the hotelThere was a significant frame x rating interaction on trust.
“Two significant interaction effects were found: frame x target, F(1, 466) = 7.97, p = .005,partial η 2 = .017(small effect); and frame x rating, F(1, 466) = 3.83, p = .051,partial η 2 = .008(small effect).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 4.2.2: Trust in the hotelFor the frame x rating interaction on trust, framing had an effect for reviews that included ratings, with higher trust for positive frame than negative frame, but not for reviews without ratings.
“For the frame x rating interaction (Fig. 4), simple effects tests revealed that framing had an effect for the set of reviews that included ratings F(1,479) = 11.56,p =.001, with higher trust evaluations for the positive frame than the negative frame (small effect size r = .22)but was not significant without ratings F(1,479) = .18,p = .670.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 5. DiscussionWhile there was no main effect for target, there was an interaction between target and frame for trust in the hotel.
“While there was no main effect for target (core or service), there was an interaction between this variable and frame, for trust in the hotel.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 4.2.2: Trust in the hotelThere was no main effect of target or ratings on trust.
“No main effect was evident for either target (p = .617)or ratings (p = .406).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown data§ 5.1 Practical ImplicationsA positive frame increases booking intentions even though the valence is negative.
“This was demonstrated by an interaction effect between valence and frame that reveals a positive frame increases booking intentions even though the valence is negative.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 5.1 Practical ImplicationsFraming and rating information interact to produce either more positive assessments in the case of a positive frame and ratings or more negative assessments in the case of a negative frame and ratings.
“That is, framing and rating information interact to produce either more positive assessments in the case of a positive frame and ratings or more negative assessments in the case of a negative frame and ratings.”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingown data§ 4.2.1: Booking intentionsFrame had a significant main effect on booking intention, with higher booking intention for positive frame than negative frame.
“and frame manipulation F(1, 506) = 4.45, p =.035, partial η 2 = .009(small effect)”
- Also stated in: § 4.2.1: Booking intentions · plain
“Ratings of booking intentions were higher in the positive frame (M = 3.71, SD = 1.656) than in the negative frame (M = 3.33, SD = 1.69) condition.”
Quote in the paperSubstantial claim- Also stated in: § 4.2.1: Booking intentions · plain
May combine two claims. The quote only partly states this claim.
Findingown data§ 4.2.2: Trust in the hotelFrame had a significant main effect on trust, with higher trust for positive frame than negative frame.
“and frame manipulation, F(1, 466) = 6.16, p = .013,partial η 2 = .013(small effect)”
- Also stated in: § 4.2.2: Trust in the hotel · plain
“Ratings of trust were higher in the positive frame (M = 3.89, SD = 1.28) than in the negative frame (M = 3.58, SD = 1.21) condition.”
Quote in the paperSubstantial claim- Also stated in: § 4.2.2: Trust in the hotel · plain
May combine two claims.
Findingown data§ about hereFraming had a significant effect on booking intention for reviews that included ratings, but not for reviews without ratings.
“Framing had an effect for the set of reviews that included ratings F (1,519) = 11.76,p = 001 (small effect size r = .22)but not for the set of reviews without ratings, F (1,519) = .04,p = .839.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data§ 4.2.1: Booking intentionsThere was no main effect of target or ratings on booking intention.
“No main effect was evident for either target (p = .080)or ratings (p = .171).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ 2.3 ValenceService failures are perceived as losses and receive a more negative weighting from consumers.
“Furthermore, Smith, Bolton and Wagner (1999) note, service failures are perceived as losses and receive a more negative weighting from a consumer.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Smith, Bolton and Wagner, 1999
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Classified as probably not a substantial claim. May combine two claims.
Premisecitation§ 2.5 Using categorical information for efficiencyRatings tend to be quite influential in product choice and provide a short-cut for assessing a product.
“Ratings tend to be quite influential in product choice (Chen, 2008) and provide potential customers with a short-cut means to assess and evaluate a product (Tsang & Prendergast, 2009).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Chen, 2008
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- cites Tsang & Prendergast, 2009
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Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 2.2 Core features versus customer service staff issuesA service offering can be conceptualised as comprising a core and a relational component.
“A service offering such as legal advice, hotel accommodation, or airline travel can be conceptualised as comprising a core and relational component (Iacobucci & Ostrom, 1993).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Iacobucci & Ostrom, 1993
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Classified as probably not a substantial claim.
Interpretationcitation§ 2.3 ValencePredominantly negative reviews will be given more weighting than positive reviews.
“Similarly, it is argued that predominantly negative reviews will be given more weighting than positive reviews.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Interpretationcitation§ 2.5 Using categorical information for efficiencyReliance on easy-to-evaluate information such as general category ratings may have a greater influence on product purchase decisions than more detailed information.
“Reliance on easy to evaluate information, such as general category ratings (e.g.star ratings for hotels or customer ratings of products) may have a greater influence on product purchase decisions compared with more detailed information.”
Quote in the paperSubstantial claim- Rests on an assumption: The presence or absence of numerical ratings is a valid manipulation that requires no additional test.
May combine two claims. The quote only partly states this claim.
Study design and conductown data§ 4. ResultsNo outliers were evident and the assumptions for ANOVA were met.
“To ensure assumptions of analysis of variance (ANOVA) were met checks for outliers (using standard SPSS explore outlier analysis) were undertaken and none was evident.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 2.4 FramingEvaluations are influenced more by what comes first than by what is received subsequently.
“In justice literature there has been some research that suggests that evaluations are influenced more by what comes first that what is received subsequently (van den Bos, Vermunt & Wilke, 1997).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites van den Bos, Vermunt & Wilke, 1997
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Premisecitation§ 2.4 FramingEvaluations of a target receive higher ratings with positive frames.
“In a study by Levin (1987), a framing effect was found whereby evaluations of the target received higher ratings with positive frames.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Levin, 1987
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Study design and conductnone given§ Dependent, manipulation check and believability variablesA final online pilot test was undertaken with a small convenience sample.
“A final online pilot test was undertaken with a small convenience sample and included both fixed choice scale items as well as open ended feedback boxes on all components of the study.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 2.1 Booking intent and perceptions of trustConsumer satisfaction in previous interactions with frontline service staff influences cognitive trust.
“Consumer satisfaction in previous interactions with frontline service staff influences cognitive trust, which is consumer confidence or willingness to trust the service provider in the future (Johnson and Grayson, 2005).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Johnson and Grayson, 2005
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Classified as probably not a substantial claim.
Study design and conductown data§ 3. 2 ParticipantsParticipants were randomly assigned to one of 16 conditions.
“The sample drawn from an Australian database comprised 554 community members who had been randomly assigned to one of 16 conditions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Study design and conductcitation§ 3.1 Simulation material and manipulation of independent variablesThe final simulated design appeared to have reasonable ecological validity.
“The final design appeared to have reasonable ecological validity (Viswanathan, 2005), whereby the materials used reflected a realistic web site.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Viswanathan, 2005
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Premisecitation§ 2.3 ValenceA grounded theory study revealed a tendency for negative reviews to have more impact than positive reviews.
“This is consistent with Papathanassis and Knolle's (in press, 2010) grounded theory based study that revealed a tendency for negative reviews to have more impact than positive reviews”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Papathanassis and Knolle, in press, 2010
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Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 1. IntroductionA large proportion of travellers use search engines and social media when evaluating a destination.
“Xiang and Gretzel (2010) report on data that suggest a large proportion of travellers use search engines and social media when evaluating a destination.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Xiang and Gretzel (2010)
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Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 1. IntroductionRecommendations from other consumers have more influence on product choice than reviews from expert or firm-related advisors.
“Chen (2008) found that recommendations of other consumers exerted more influence on product choice than did reviews from expert or firm related advisors.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Chen, 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 2.4 FramingFraming influenced respondent service quality evaluations, with positive frames resulting in significantly higher evaluations than the same content presented with a negative frame.
“Hartman, De Angeli and Sutcliffe (2008), in a study investigating information biases on website quality judgements, found framing influenced respondent service quality evaluations.Positive frames resulted in significantly higher evaluations of service quality than the same content presented with a negative frame.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hartman, De Angeli and Sutcliffe, 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation§ 2.2 Core features versus customer service staff issuesCustomers often have to enter the service factory, and satisfaction is influenced by both interactions with staff and the standard of service facilities.
“As one of the seminal writers (Lovelock, 1983) on services marketing argues, customers often have to enter the service factory (e.g.restaurant) and subsequent satisfaction will be influenced by both the interactions with customer service staff and the standard of service facilities.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lovelock, 1983
Not checked in the free run.
Classified as probably not a substantial claim.
Premisecitation§ 2.1 Booking intent and perceptions of trustTrust is one of the most important factors in determining whether people will purchase online.
“They argue that trust is one of the most important factors in determining whether people will purchase online.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Wang and Emurian, 2005
Not checked in the free run.
May combine two claims.
Study design and conductown data§ 4.1 Manipulation checksThe treatments affected the manipulation check variables but not the confound variables, demonstrating discriminant validity.
“Discriminant validity was also demonstrated with the treatments having a significant effect on the manipulation check variables and not on the confound variables.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 2.5 Using categorical information for efficiencyPeople tend to be cognitive misers who take shortcuts when making evaluations or decisions.
“It has been suggested that people tend to be 'cognitive misers' (Fiske & Taylor, 1991), that is, they take short cuts when making evaluations or decisions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fiske & Taylor, 1991
Not checked in the free run.
May combine two claims.
Interpretationcitation§ 2.4 FramingInformation received early, especially if negatively worded, is likely to be more influential on consumer evaluations.
“In sum, information received early, especially if negatively worded, is likely to be more influential on consumer evaluations.”
Quote in the paperNot a substantial claim- Rests on an assumption: The order manipulation, placing two positive or two negative reviews first, successfully creates the intended framing without a separate manipulation check.
Classified as probably not a substantial claim.
Premisecitation§ 2.1 Booking intent and perceptions of trustPotential consumers use online consumer reviews as one way to reduce risk and uncertainty in the purchase situation.
“Chen (2008) also argues that potential consumers use online consumer reviews as one way to reduce risk and uncertainty in the purchase situation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Chen, 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone given§ Dependent, manipulation check and believability variablesThree pre-tests were applied, with the final one including a think-aloud task.
“Three pre-tests of this kind were applied with the final one including a 'think aloud' task about the study.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone given§ Dependent, manipulation check and believability variablesPre-tests were conducted to develop the stimuli, set manipulation strength, and assess external validity.
“A series of pre-tests were conducted to develop the stimuli, set the strength of the independent variables and to assess the external validity of the study.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ 2.3 ValenceNegative information tends to be overemphasised and is more influential in forming impressions.
“However, research suggests that negative information tends to be over emphasised and is more influential in forming impressions (see Fiske, 1993).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fiske, 1993
Not checked in the free run.
Classified as probably not a substantial claim.
Premisecitation§ 2.5 Using categorical information for efficiencyIn goal-oriented contexts, an easy information processing approach is preferred.
“Other researchers (van Schaik & Ling, 2009), report that in contexts where the consumer is in a goal oriented mode (e.g.such as making a booking), an easy information processing approach is preferred.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites van Schaik & Ling, 2009
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown data§ 3. 2 ParticipantsThe sample appeared well matched to the task, though somewhat biased toward females.
“Thus, the sample seemed well matched to the task, although somewhat biased toward females.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 2.3 ValenceAs the proportion of negative reviews increased, consumer negative attitudes also increased.
“and Lee, Park and Han's (2008) finding that as the proportion of negative reviews increased so too did consumer negative attitudes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lee, Park and Han, 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ 2.2 Core features versus customer service staff issuesService targets can be classified as core system features or staff-level customer service events.
“Broadly, these service targets can be either core system type features (e.g.hotel room poorly designed / maintained /cleaned) or more staff level customer service events (Hoffman & Bateson, 2006;Keaveney, 1995).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Hoffman & Bateson, 2006
Not checked in the free run.
- cites Keaveney, 1995 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoning§ 6. Limitations and future researchThe study employed a simulation of a web site that was professionally designed, which limited what information could be presented and made active.
“While the study employed a simulation of a web site that was professionally designed, this required a limitation to what information could be presented and made active.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ 5. DiscussionThese results lend support to the 'cognitive miser' hypothesis, suggesting that easy-to-access information, in this case frame and rating, is often, but not always, used.
“These results lend support to the 'cognitive miser' (Fiske & Taylor, 1991) hypothesis, suggesting that easy-to-access information, in this case frame and rating is often, but not always, used.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fiske & Taylor, 1991
Not checked in the free run.
May combine two claims.
Study design and conductown data§ about hereThe believability of the simulated task was satisfactory and consistent across conditions.
“Similarly, the believability of the simulated task was satisfactory and consistent across conditions.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Study design and conductown data§ about hereThe believability scale had acceptable internal consistency (Cronbach's alpha = .79).
“High scores on the scale indicate greater believability in the simulation exercise (Cronbach's alpha for this scale was .79).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown data§ 5.1 Practical ImplicationsThe paper demonstrated that impressions formed and likely booking intentions are influenced by multiple factors, some of which interact to show simple main effects are not sufficient to understand the tourism consumer.
“In summary, this paper demonstrated that the impressions formed and likely booking intentions are influenced by multiple factors, some of which interact to show simple main effects are not sufficient to understand the tourism consumer.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data§ 5.1 Practical ImplicationsWhile core features play an important role in consumer service experience, it is the quality of the interactions with staff that is critical in influencing trust perceptions of the hotel.
“While core features play an important role in consumer service experience, it is the quality of the interactions with staff that is critical in influencing trust perceptions of the hotel.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationreasoning§ 5. DiscussionThe results are consistent with the proposition that people tend to weight negative information more strongly, with a magnified effect for a negative frame and negative content overall.
“This is consistent with our proposition that people tend to weight negative information more strongly, with a magnified effect for a negative frame and negative content overall.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown data§ about hereThe manipulation of target and valence was perceived as intended and not confounded.
“Taken together the manipulation and believability results suggest the manipulation of the independent variables of target and valence were perceived as intended and were not confounded.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown data§ Additional informationThe effect sizes for the significant results were quite small, suggesting the need to investigate other explanatory variables.
“In the case of our research, the effect sizes for the significant results were quite small thus suggesting the need to investigate other explanatory variables.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoning§ Additional informationThe experimental design is artificial and limits generalization; field investigation may shed further light.
“We acknowledge that the experimental design is artificial and, as such, further investigation in the field, using other methods, may have the potential to shed further light on the research raised in this paper.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoning§ 6. Limitations and future researchThe experimental approach limits the investigation to selected variables.
“While an experimental approach is a strong research design it does limit the investigation to selected variables.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The order manipulation, placing two positive or two negative reviews first, successfully creates the intended framing without a separate manipulation check.
“As framing was operationalised using an order approach (by either placing the first two reviews as negative or positive), no specific manipulation check was sought in the main study.”
The paper relies on this without support.
The presence or absence of numerical ratings is a valid manipulation that requires no additional test.
“Similarly, consumer numeric ratings were either present or absent on the reviews, therefore no additional tests were needed.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Sharing Economy users gravitate towards information relating to the trustworthiness of individuals before deciding to interact.
“Individuals in the SE (i.e. users), themselves, gravitate towards information relating to the trustworthiness of the individuals they wish to engage with before deciding to interact [29–31].”
From Digital Identity: The effect of trust and reputation information on user judgement in the Sharing Economy (2018) · cites this paper as [31]
Profiles containing platform- and community-generated information have a significant advantage.
“However, it is clear that profiles containing platform- and community-generated information have a significant advantage [31,37,40].”
From Digital Identity: The effect of trust and reputation information on user judgement in the Sharing Economy (2018) · cites this paper as [31]
Statistics that don’t add up
Each reported p-value recomputed from its test statistic and degrees of freedom.
Inconsistent p-value across alpha = .05: F(15, 471) = 783, p = .70
MajorThe paper reports p = .7 here; recomputing from the test statistic and its degrees of freedom gives p < .001. The two fall on opposite sides of alpha = .05. The check cannot tell whether the statistic or the p-value is the misprint.
Reported p = .7 · recomputed p < .001
“F(15, 471) = 783, p = .70”
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Doesn’t add upF(15, 471) = 783reported p = .7 · recomputed p < .001The two fall on opposite sides of .05
“F(15, 471) = 783, p = .70”
- Consistentt(486) = 25.85reported p < .001 · recomputed p < .001
“t(486) = 25.85,p < .001”
- ConsistentF(1, 506) = 13.48reported p < .001 · recomputed p < .001
“F(1, 506) = 13.48,p < .001”
- ConsistentF(1, 506) = 4.45reported p = .035 · recomputed p = .035
“F(1, 506) = 4.45, p = .035”
- ConsistentF(1, 506) = 4.72reported p = .03 · recomputed p = .030
“F(1, 506) = 4.72, p = .030”
- ConsistentF(1, 506) = 5.11reported p = .024 · recomputed p = .024
“F(1, 506) = 5.11, p = .024”
- ConsistentF(1, 519) = 21.13reported p < .001 · recomputed p < .001
“F (1,519) = 21.13,p < .001”
- ConsistentF(1, 519) = 12.74reported p < .001 · recomputed p < .001
“F(1,519) = 12.74, p < .001”
- ConsistentF(1, 519) = 4.35reported p = .038 · recomputed p = .037
“F(1,519) = 4.35, p = .038”
- ConsistentF(1, 519) = 0.04reported p = .839 · recomputed p = .842
“F (1,519) = .04,p = .839”
- ConsistentF(1, 466) = 6.17reported p = .013 · recomputed p = .013
“F(1, 466) = 6.17, p = .013”
- ConsistentF(1, 466) = 6.16reported p = .013 · recomputed p = .013
“F(1, 466) = 6.16, p = .013”
- ConsistentF(1, 466) = 7.97reported p = .005 · recomputed p = .005
“F(1, 466) = 7.97, p = .005”
- ConsistentF(1, 466) = 3.83reported p = .051 · recomputed p = .051
“F(1, 466) = 3.83, p = .051”
- ConsistentF(1, 479) = 6.22reported p = .013 · recomputed p = .013
“F(1,479) = 6.22,p = .013”
- ConsistentF(1, 479) = 0.89reported p = .346 · recomputed p = .346
“F(1,479) = .89,p = .346”
- ConsistentF(1, 479) = 14.12reported p < .001 · recomputed p < .001
“F(1,479) = 14.12, p < .001”
- ConsistentF(1, 479) = 0.04reported p = .835 · recomputed p = .842
“F(1,479) = .04,p = .835”
- ConsistentF(1, 479) = 11.56reported p = .001 · recomputed p < .001
“F(1,479) = 11.56,p = .001”
- ConsistentF(1, 479) = 0.18reported p = .67 · recomputed p = .672
“F(1,479) = .18,p = .670”
- ConsistentF(1, 479) = 1.71reported p = .192 · recomputed p = .192
“F(1,479) = 1.71, p = .192”
- ConsistentF(1, 479) = 2.86reported p = .091 · recomputed p = .091
“F(1,479) = 2.86, p = .091”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Appendix description gives the wrong number of conditions
MinorThe appendix description says there were 12 conditions, whereas the study design and stimulus description both specify 16.
“Appendix A shows an example of the stimulus material for two out of the 12 conditions.”
“There was a total of 16 simulated web sites each containing 12 reviews.”
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- Authors
- Sparks, B. A., & Browning, V.
- Affiliations
- Griffith University (AU)
- Queensland University of Technology (AU)
- Corresponding author
- Sparks, Beverley A.
- Venue
- Tourism Management
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 32
- Issue
- 6
- Pages
- 1310-1323
- ISSN
- 0261-5177 (ISSN-L)
- OpenAlex
- W1991622328
- Cited by
- 1,688
- References
- 76
- Citations by year
- 2026: 159 · 2025: 136 · 2024: 105 · 2023: 142 · 2022: 140 · 2021: 150 · 2020: 158 · 2019: 157 · 2018: 119 · 2017: 112 · 2016: 107 · 2015: 85 · 2014: 52 · 2013: 47 · 2012: 15
- FWCI
- 117.34
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Tourism Management (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion, cc-by-nc-nd)
- RePEc: Research Papers in Economics (submittedVersion)
- Griffith Research Online (submittedVersion)
- Funders
- Griffith University
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Sociology and Political Science › Diverse Aspects of Tourism Research
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Keywords
- online reviews, hotel booking intention, consumer trust, electronic word of mouth, review valence, numerical ratings, interpersonal service, consumer choice, information processing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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