SlideShare a Scribd company logo
1 of 26
ENTER 2016 Research Track Slide Number 1
An Empirical Examination of Online
Restaurant Reviews(Yelp.com)
: Moderating Roles of Restaurant Type and Self-image Disclosure
Sunyoung Hleea
, Jimin Leeb
, Sung-Byung Yangc
, Chulmo Kood
a,b
Department of Convention & Exhibition management,
Graduate School, Kyung Hee University, Seoul, Republic of Korea
c
School of Business, Ajou University, Suwon, Republic of Korea
d
College of Hotel & Tourism Management Kyung Hee University, Republic of Korea
helmetgu@khu.ac.kr
ENTER 2016 Research Track Slide Number 2
1. Introduction
2. Theoretical Background
1) Online Travel Reviews
2) Elaboration Likelihood Model
3) Restaurant Experience
3. Operationalization of Variables
4. Research Model & Hypothesis
5. Methodology
6. Data Analysis
7. Results
8. Conclusions
9. Limitations
ENTER 2016 Research Track Slide Number 3
TripAdvisor announced “the results of TripBarometer”(2014)
The Importance of Online Consumer Reviews
85% of consumers will search the internet for
online reviews.
1
92% of consumers will use a local business if it has at least
a 4-star rating.
4
79% of consumers trust online reviews.
2
Online reviews make consumers trust a local business
more.
3
86% of consumers will hesitate to purchase from a business
that has negative online reviews.
5
I. Introduction
ENTER 2016 Research Track Slide Number 4
I. Introduction
Creation of share economy for local business
•Online travel reviews allows tourism businesses to have active, positive
participation from tourists.
•… provide consumers a main platform to create a relationship with small medium
tourism businesses.
ENTER 2016 Research Track Slide Number 5
Many studies have explored the various features and elements of online reviews to
evaluate their influences on consumer perceptions.
(Jeong & Jang, 2011; Liu & Park, 2015; Park & Nicolau, 2015; Racherla & Friske 2012)
Star Ratings, Review Length, Readability, Negative vs. Positive words
Reviewer Factors
Reviewers' Identity Disclosure(i.e., real location, real name, real photo), Expertise, Reputation
(number of reviews, friends, elite award)
Review Factors
Other Factors
Product Types(Experience vs. Search good), Price level
Textual Aspects
I. Introduction
ENTER 2016 Research Track Slide Number 6
Textual AspectsTextual Aspects
Imagery AspectsImagery Aspects
+ Review Usefulness
I. Introduction
DINESCAPE
Food & BeverageFood & Beverage
Physical
Environment
Physical
Environment
Restaurant TypesRestaurant Types
Self-image
disclosure
Self-image
disclosure
Elaboration
Likelihood Model
(Petty and Cacioppo,1979)
Elaboration
Likelihood Model
(Petty and Cacioppo,1979)
Central CuesCentral Cues
Peripheral CuesPeripheral Cues
Restaurant
Experince
ENTER 2016 Research Track Slide Number 7
2. Theoretical Background_ 1) Online Consumer Reviews
Review Usefulness/
hepfulness
Review Usefulness/
hepfulness
Text-based
reviews
Text-based
reviews
Video-based
reviews
Video-based
reviews
Review EnjoymentReview Enjoyment
①
②
(Liu and Park, 2015; Baek et al. 2012;
Korfiatis et. al., 2012; Forman et al.
2008; Ghose et al. 2011)
③
(Park and Niolau, 2015)
③
①
(Xu et. al.,2015)
②
Evaluation of
reviews
Reviewer
Characteristics
Reviewer
Characteristics
Presentation
Formats of review
Characteristics
③
Product Types
Consumer
Characteristics
Moderator
Image-based
reviews
Image-based
reviews
④
④
This study Restaurant
Types
Reviewer’s
Self-Image
Disclosure
ENTER 2016 Research Track Slide Number 8
2. Theoretical Background_2) ELM
The elaboration likelihood model (ELM) proposes two major routes of
persuasion: the central route & the peripheral route.(Petty and Cacioppo,1979)
•Consumers have a high level of message elaboration in which a great
amount of cognition.
•This can lead to permanent change in consumer attitude as we adopt
and elaborate upon the speaker’s arguments.
Central RouteCentral Route
•Peripheral cues are generally unrelated to the logical quality of the
stimulus.
•This can lead temporary attitude change.
Perpheral RoutePerpheral Route
ENTER 2016 Research Track Slide Number 9
2. Theoretical Background_2) ELM
High motivation and
ability to think about the
message
High motivation and
ability to think about the
message
Lasting change that
resists fading and
counterattacks
Lasting change that
resists fading and
counterattacks
Information
(Online Reviews)
Deep processing,
focused on the quality of
the message arguments
Deep processing,
focused on the quality of
the message arguments
Audience Factors
Processing
Approach
Persuasion
Outcome
Low motivation or ability
to think about the
message
Low motivation or ability
to think about the
message
Superficial processing,
Focused on the surface
features such as the
communicatior’s
attractiveness or the
number of arguments
presented
Superficial processing,
Focused on the surface
features such as the
communicatior’s
attractiveness or the
number of arguments
presented
Temporary change that
is susceptible th fading
and counterattacks
Temporary change that
is susceptible th fading
and counterattacks
Central Cues : Review Length, Negative words%Central Cues : Review Length, Negative words%
(Baek, Ahn, and Choi, 2012)
Peripheral Cues : Star Rating, Reviewer’s reputation, Real NamePeripheral Cues : Star Rating, Reviewer’s reputation, Real Name
Central Cues
Peripheral Cues
ENTER 2016 Research Track Slide Number 10
Review
Usefulness
Attributes of
Textual Review
Attributes of
Imagery
Review
# Online Review Sample(Yelp.com)
Reviewer’s
Self-image
Disclosure
Central CuesCentral Cues
Peripheral CuesPeripheral Cues
Restaurant Type
(Casual dining vs.
Fine Dining)
ENTER 2016 Research Track Slide Number 11
2. Theoretical Background_3) Restaurant Experience
DINESCAPE
Restaurant Types
Food & Beverage
VS
&
Physical Environment
Fine Dining Restaurant Casual Dining Restaurant
(Ryu, K. & Jang, S. , 2008)
(wang & Ok, 2013)
ENTER 2016 Research Track Slide Number 12
3. Operationalization of variables
Physical
Environment
Image
Food& Beverage
Image
Review Readability
Review Length
Modrator
Self Image
Disclosure
Independent
Variables
Dependent
Variables
Restaurant
Types
ENTER 2016 Research Track Slide Number 13
4. Research Model & Hypotheses
Peripheral Cues
Review UsefulnessReview Usefulness
Physical Environment
images
Physical Environment
images
Food & Beverage
images
Food & Beverage
images
Central Cues
Review LengthReview Length
Review ReadabilityReview Readability
Self-image disclosure
(Whether the reviewers disclose
their real photo or not)
Self-image disclosure
(Whether the reviewers disclose
their real photo or not)
H1
H2
H3
H4
H5a
H6a
Restaurant Type
(Casual dining VS. Fine dining)
Restaurant Type
(Casual dining VS. Fine dining)
H5b
H6b
Hypothesis 1: As the number of words in a review text increases, a review’s usefulness increases.
Hypothesis 2: As the readability of the review text increases, a review’s usefulness increases.
(Baek et al., 2012; Korfiatis et al., 2012; Lui & Park, 2015; Mudanbi & Schuff, 2010; Racherla & Friske, 2012)
Hypothesis 3: As the number of physical environment images in a review increases, a review’s usefulness increases.
Hypothesis 4: As the number of food & beverage images in a review increases, a review’s usefulness increases.
(Xu et al., 2015; Hong et al., 2004; Weather et al., 2007)
Hypothesis 5a: Text formats (review length, review readability) of online travel reviews have stronger effects on review
usefulness in a casual dining restaurant type than in a fine dining restaurant type.
Hypothesis 5b: Image formats (physical environment images, food & beverage images) of online travel reviews have
stronger effects on review usefulness in a casual dining restaurant type than in a fine dining restaurant type.
(Kim & Moon , 2009; Xu et al., 2015)
Hypothesis 6a: Text formats (review length, review readability) of online travel reviews have stronger effects on review
usefulness without reviewer’s self-image disclosure than with it.
Hypothesis 6b: Image formats (physical environment images, food & beverage images) of online travel reviews have
stronger effects on review usefulness without reviewers’ self- image disclosure than with it.
(Sirgy & Su, 2000; Xu et al., 2015)
ENTER 2016 Research Track Slide Number 14
Independent Variables Dependent Variables
Textual cues
Review
Length
Review
Length
Review
Readability
Review
Readability
Word count
FRE, ARI, FOG, CLI
Physical
Environment
images
Physical
Environment
images
Food imagesFood images
Number of
total images
in total reviews
Review Usefulness
# of vote online users
who voted that the reviews
were useful in response to the
reviews posted
Using website
‘Readability-Score.com’
Manual Collection
Web-Harvesting
Web-Harvesting
Imagery cues
5. Research Methodology_Data collection
ENTER 2016 Research Track Slide Number 15
5. Research Methodology_Data collection
•Casual dining restaurants from ‘Yelp's Top 100 Places to Eat in the U.S.’ for
2015 because of their reliability and validity.
•Fine dining restaurants from Michelin three stars located in New York City
and the top-ranked restaurant on the first web page
•1,323 reviews of casual dining restaurants(Cropper Top BBQ, Soho Japanese/
1,306 reviews of fine dining restaurants for this research(Eleven Madison Park).
• Data collection period: July 18 ~23, 2015
ENTER 2016 Research Track Slide Number 16
Descriptive statistics and comparison of means for subsamples
Variable
Casual Dining
Restaurant (n=1,323)
Fine Dining
Restaurant (n=1,306) p-value
Mean SD Mean SD
Length 118.717 123.878 211.501 202.039 0.000***
ARI 4.036 2.713 6.046 3.129 0.000***
Physical Environment 0.150 0.709 0.425 4.108 0.017*
Food &Beverage 0.963 2.818 1.491 8.553 0.034*
Usefulness 1.297 3.223 1.809 3.443 0.000***
Self image Disclosure 0.534 0.499 0.547 0.498 0.502
6. Data Analysis
ENTER 2016 Research Track Slide Number 17
6. Data Analysis_ Hypothesis testing_Restaurant Type
ENTER 2016 Research Track Slide Number 18
6. Data Analysis_ Hypothesis testing_Self Image Disclosure
ENTER 2016 Research Track Slide Number 19
Peripheral Cues
Review UsefulnessReview Usefulness
Physical Environment
images
Physical Environment
images
Food & Beverage
images
Food & Beverage
images
Central Cues
Review LengthReview Length
Review ReadabilityReview Readability
Self-image disclosure
(Whether the reviewers disclose
their real photo or not)
Self-image disclosure
(Whether the reviewers disclose
their real photo or not)
Restaurant Type
(Casual dining VS. Fine dining)
Restaurant Type
(Casual dining VS. Fine dining)
7. Results
0.015***
0.034***
0.199***
0.175***
-
0.011***
-1.618***
-0.699***
-0.041
0.001
0.044
-1.519***
-0.361***
ENTER 2016 Research Track Slide Number 20
8. Implications
•To explore the effects of two presentation formats of OTRs affect perceived review usefulness from
the perspective of ELM.
•To assess not only text formats as central cus but also the peripheral image formats may contain
enough information to guide decision-making for purchase tourism related products.
•Restaurant type, the most important factor of restaurant choice, is a central cue which plays the
moderator role in both central and peripheral cues’ impacts on review usefulness.
• The moderating roles of restaurant type and reviewers’ self-image disclosure from the perspective
of DINESCAPE.
Theoretical Implications
• Restaurant type as the most important factor of consumer attitude works differently.
Review length and the images of restaurant experience of casual dining restaurant are more
important to review usefulness than fine dining restaurant.
• Restaurant managers and marketers should recognize the importance of image reviews and devote
the greatest effort and resources to prepare high quality of food and environment.
•Organizers of tourism review websites should stimulate reviewer to disclose his/her self-image and
image format reviews.
Practical Implications
ENTER 2016 Research Track Slide Number 21
9. Limitations
• To focuse only on one type of business service, the restaurant business.
• To overlooked that multi-aspects of review attributes such as real address
and name, reviewers’ reputation, star rating, past experience etc.
• To fail to reflect other customers’ opinion, who did not vote.
Limitations
ENTER 2016 Research Track Slide Number 22
Thank you.
Q&A
ENTER 2016 Research Track Slide Number 23
TripAdvisor announced “the results of TripBarometer”(2014)
ENTER 2016 Research Track Slide Number 24
ENTER 2016 Research Track Slide Number 25
Theoretical Background_2) ELM
ENTER 2016 Research Track Slide Number 26
Descriptive Statistics for full sample (n=2,629)
Variable Min Max Mean std. variance
Review Length 1 973 164.81 173.62 30142.67
ARI -20.9 23.1 5.03 3.09 9.58
Physical Environment 0 82 0.29 2.94 8.65
Food &Beverage 0 143 1.23 6.36 40.39
Review Usefulness 0 46 1.55 3.34 11.18
Self image Disclosure 0 1 0.54 0.50 0.25
6. Data Analysis

More Related Content

Viewers also liked

Viewers also liked (20)

BBVA - Territorial Analysis based on Financial Activity Data
BBVA - Territorial Analysis based on Financial Activity DataBBVA - Territorial Analysis based on Financial Activity Data
BBVA - Territorial Analysis based on Financial Activity Data
 
Generation of gamified mobile experiences by dm os
Generation of gamified mobile experiences by dm osGeneration of gamified mobile experiences by dm os
Generation of gamified mobile experiences by dm os
 
STR Global: 2015 Hotel Insights
STR Global: 2015 Hotel InsightsSTR Global: 2015 Hotel Insights
STR Global: 2015 Hotel Insights
 
Social media technologies affordances for small and medium sized enterprises ...
Social media technologies affordances for small and medium sized enterprises ...Social media technologies affordances for small and medium sized enterprises ...
Social media technologies affordances for small and medium sized enterprises ...
 
(Dis)Connectivity in the Travel Context: Setting an Agenda for Research
(Dis)Connectivity in the Travel Context: Setting an Agenda for Research(Dis)Connectivity in the Travel Context: Setting an Agenda for Research
(Dis)Connectivity in the Travel Context: Setting an Agenda for Research
 
Pilgrims' acceptance of a mobile app for the Camino de Santiago
Pilgrims' acceptance of a mobile app for the Camino de SantiagoPilgrims' acceptance of a mobile app for the Camino de Santiago
Pilgrims' acceptance of a mobile app for the Camino de Santiago
 
Generating paths through discovered places-of-interests for city trip planning
Generating paths through discovered places-of-interests for city trip planningGenerating paths through discovered places-of-interests for city trip planning
Generating paths through discovered places-of-interests for city trip planning
 
Hotel responses to guests online reviews an exploratory study on communicatio...
Hotel responses to guests online reviews an exploratory study on communicatio...Hotel responses to guests online reviews an exploratory study on communicatio...
Hotel responses to guests online reviews an exploratory study on communicatio...
 
Automated persistent personalization of ads on tourism websites
Automated persistent personalization of ads on tourism websitesAutomated persistent personalization of ads on tourism websites
Automated persistent personalization of ads on tourism websites
 
Using Gamification as a Relationship Marketing tool in order to retain custom...
Using Gamification as a Relationship Marketing tool in order to retain custom...Using Gamification as a Relationship Marketing tool in order to retain custom...
Using Gamification as a Relationship Marketing tool in order to retain custom...
 
Gender and Instagram hashtags: A study of #Malaysianfood
Gender and Instagram hashtags: A study of #MalaysianfoodGender and Instagram hashtags: A study of #Malaysianfood
Gender and Instagram hashtags: A study of #Malaysianfood
 
Measuring the Media Effects of a Tourism-Related Virtual Reality Experience U...
Measuring the Media Effects of a Tourism-Related Virtual Reality Experience U...Measuring the Media Effects of a Tourism-Related Virtual Reality Experience U...
Measuring the Media Effects of a Tourism-Related Virtual Reality Experience U...
 
Alpine tourists' willingness to engage in virtual co-creation of experiences
Alpine tourists' willingness to engage in virtual co-creation of experiencesAlpine tourists' willingness to engage in virtual co-creation of experiences
Alpine tourists' willingness to engage in virtual co-creation of experiences
 
Researching Individual Satisfaction with Group Decisions in Tourism: Experime...
Researching Individual Satisfaction with Group Decisions in Tourism: Experime...Researching Individual Satisfaction with Group Decisions in Tourism: Experime...
Researching Individual Satisfaction with Group Decisions in Tourism: Experime...
 
Case Study: CLUB MED communication enters into a new consumer centric and dig...
Case Study: CLUB MED communication enters into a new consumer centric and dig...Case Study: CLUB MED communication enters into a new consumer centric and dig...
Case Study: CLUB MED communication enters into a new consumer centric and dig...
 
How far how near psychological distance matters in the online travel reviews:...
How far how near psychological distance matters in the online travel reviews:...How far how near psychological distance matters in the online travel reviews:...
How far how near psychological distance matters in the online travel reviews:...
 
To Catch Them All - The (Un)internded Consequences of Pokémon GO on Mobility,...
To Catch Them All - The (Un)internded Consequences of Pokémon GO on Mobility,...To Catch Them All - The (Un)internded Consequences of Pokémon GO on Mobility,...
To Catch Them All - The (Un)internded Consequences of Pokémon GO on Mobility,...
 
Do Local Residents and Visitors Express the Same Sentiments on Destinations t...
Do Local Residents and Visitors Express the Same Sentiments on Destinations t...Do Local Residents and Visitors Express the Same Sentiments on Destinations t...
Do Local Residents and Visitors Express the Same Sentiments on Destinations t...
 
Community based tourism and ICT: insights from Malaysia
Community based tourism and ICT: insights from MalaysiaCommunity based tourism and ICT: insights from Malaysia
Community based tourism and ICT: insights from Malaysia
 
Managing business travellers' use of mobile travel applications
Managing business travellers' use of mobile travel applicationsManaging business travellers' use of mobile travel applications
Managing business travellers' use of mobile travel applications
 

Similar to An empirical examination of online restaurant reviews

wepik-analyzing-consumer-satisfaction-with-oyo-a-comprehensive-study-20240414...
wepik-analyzing-consumer-satisfaction-with-oyo-a-comprehensive-study-20240414...wepik-analyzing-consumer-satisfaction-with-oyo-a-comprehensive-study-20240414...
wepik-analyzing-consumer-satisfaction-with-oyo-a-comprehensive-study-20240414...MahakGupta723242
 
Final Presentation
Final PresentationFinal Presentation
Final Presentationhanming0824
 
Final Paper Presentation revised and graded
Final Paper Presentation revised and gradedFinal Paper Presentation revised and graded
Final Paper Presentation revised and gradedReginald Terry, CHIA
 
TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING
TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING
TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING AIRCC Publishing Corporation
 
TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING
TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING
TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING ijcsit
 
A Multidisciplinary Analysis of Research and Performance Synthesis Utilized i...
A Multidisciplinary Analysis of Research and Performance Synthesis Utilized i...A Multidisciplinary Analysis of Research and Performance Synthesis Utilized i...
A Multidisciplinary Analysis of Research and Performance Synthesis Utilized i...ROBELYN GARCIA PhD
 
The Analysis and Interpretation of Qualitative Data Analysis.pdf
The Analysis and Interpretation of Qualitative Data Analysis.pdfThe Analysis and Interpretation of Qualitative Data Analysis.pdf
The Analysis and Interpretation of Qualitative Data Analysis.pdfsdfghj21
 
Young consumers’ insights on brand equity Effects of bra.docx
Young consumers’ insights on brand equity Effects of bra.docxYoung consumers’ insights on brand equity Effects of bra.docx
Young consumers’ insights on brand equity Effects of bra.docxMargaritoWhitt221
 
CONSUMER BEHAVIOR IN RESTAURANT
CONSUMER BEHAVIOR IN RESTAURANTCONSUMER BEHAVIOR IN RESTAURANT
CONSUMER BEHAVIOR IN RESTAURANTsgahlaut711
 
Descriptive statistics research survey analysis (part 2)
Descriptive statistics research   survey analysis (part 2)Descriptive statistics research   survey analysis (part 2)
Descriptive statistics research survey analysis (part 2)Ghivitha Kalimuthu
 
Descriptive statistics research survey analysis (part 2)
Descriptive statistics research   survey analysis (part 2)Descriptive statistics research   survey analysis (part 2)
Descriptive statistics research survey analysis (part 2)Ghivitha Kalimuthu
 
2014 CrossRef Annual Meeting Peer Review Panel: PRE: Securing Trust & Transpa...
2014 CrossRef Annual Meeting Peer Review Panel: PRE: Securing Trust & Transpa...2014 CrossRef Annual Meeting Peer Review Panel: PRE: Securing Trust & Transpa...
2014 CrossRef Annual Meeting Peer Review Panel: PRE: Securing Trust & Transpa...Crossref
 
Fake Review Detection Using Contextual and Behavioral Features 2.pptx
Fake Review Detection Using Contextual and Behavioral Features 2.pptxFake Review Detection Using Contextual and Behavioral Features 2.pptx
Fake Review Detection Using Contextual and Behavioral Features 2.pptxMOAZZAMALISATTI
 
Exploratory data analysis and data mining on yelp restaurant review
Exploratory data analysis and data mining on yelp restaurant review Exploratory data analysis and data mining on yelp restaurant review
Exploratory data analysis and data mining on yelp restaurant review PoojaPrasannan4
 
Customer satisfaction in Nando's restaurant
Customer satisfaction in Nando's restaurantCustomer satisfaction in Nando's restaurant
Customer satisfaction in Nando's restauranthomeboxoffice
 

Similar to An empirical examination of online restaurant reviews (20)

wepik-analyzing-consumer-satisfaction-with-oyo-a-comprehensive-study-20240414...
wepik-analyzing-consumer-satisfaction-with-oyo-a-comprehensive-study-20240414...wepik-analyzing-consumer-satisfaction-with-oyo-a-comprehensive-study-20240414...
wepik-analyzing-consumer-satisfaction-with-oyo-a-comprehensive-study-20240414...
 
Which is More Important in Online Review Usefulness, Heuristic or Systematic ...
Which is More Important in Online Review Usefulness, Heuristic or Systematic ...Which is More Important in Online Review Usefulness, Heuristic or Systematic ...
Which is More Important in Online Review Usefulness, Heuristic or Systematic ...
 
Content Analysis of TripAdvisor Reviews on Restaurants: A Case Study of Macau
Content Analysis of TripAdvisor Reviews on Restaurants: A Case Study of MacauContent Analysis of TripAdvisor Reviews on Restaurants: A Case Study of Macau
Content Analysis of TripAdvisor Reviews on Restaurants: A Case Study of Macau
 
Final Presentation
Final PresentationFinal Presentation
Final Presentation
 
Final Paper Presentation revised and graded
Final Paper Presentation revised and gradedFinal Paper Presentation revised and graded
Final Paper Presentation revised and graded
 
TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING
TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING
TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING
 
TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING
TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING
TEXT MINING CUSTOMER REVIEWS FOR ASPECTBASED RESTAURANT RATING
 
A Multidisciplinary Analysis of Research and Performance Synthesis Utilized i...
A Multidisciplinary Analysis of Research and Performance Synthesis Utilized i...A Multidisciplinary Analysis of Research and Performance Synthesis Utilized i...
A Multidisciplinary Analysis of Research and Performance Synthesis Utilized i...
 
The Analysis and Interpretation of Qualitative Data Analysis.pdf
The Analysis and Interpretation of Qualitative Data Analysis.pdfThe Analysis and Interpretation of Qualitative Data Analysis.pdf
The Analysis and Interpretation of Qualitative Data Analysis.pdf
 
Young consumers’ insights on brand equity Effects of bra.docx
Young consumers’ insights on brand equity Effects of bra.docxYoung consumers’ insights on brand equity Effects of bra.docx
Young consumers’ insights on brand equity Effects of bra.docx
 
Proposal
ProposalProposal
Proposal
 
CONSUMER BEHAVIOR IN RESTAURANT
CONSUMER BEHAVIOR IN RESTAURANTCONSUMER BEHAVIOR IN RESTAURANT
CONSUMER BEHAVIOR IN RESTAURANT
 
Descriptive statistics research survey analysis (part 2)
Descriptive statistics research   survey analysis (part 2)Descriptive statistics research   survey analysis (part 2)
Descriptive statistics research survey analysis (part 2)
 
Descriptive statistics research survey analysis (part 2)
Descriptive statistics research   survey analysis (part 2)Descriptive statistics research   survey analysis (part 2)
Descriptive statistics research survey analysis (part 2)
 
Proposal
ProposalProposal
Proposal
 
Liz Allen - Open peer review (through the lens of F1000’s open research publi...
Liz Allen - Open peer review (through the lens of F1000’s open research publi...Liz Allen - Open peer review (through the lens of F1000’s open research publi...
Liz Allen - Open peer review (through the lens of F1000’s open research publi...
 
2014 CrossRef Annual Meeting Peer Review Panel: PRE: Securing Trust & Transpa...
2014 CrossRef Annual Meeting Peer Review Panel: PRE: Securing Trust & Transpa...2014 CrossRef Annual Meeting Peer Review Panel: PRE: Securing Trust & Transpa...
2014 CrossRef Annual Meeting Peer Review Panel: PRE: Securing Trust & Transpa...
 
Fake Review Detection Using Contextual and Behavioral Features 2.pptx
Fake Review Detection Using Contextual and Behavioral Features 2.pptxFake Review Detection Using Contextual and Behavioral Features 2.pptx
Fake Review Detection Using Contextual and Behavioral Features 2.pptx
 
Exploratory data analysis and data mining on yelp restaurant review
Exploratory data analysis and data mining on yelp restaurant review Exploratory data analysis and data mining on yelp restaurant review
Exploratory data analysis and data mining on yelp restaurant review
 
Customer satisfaction in Nando's restaurant
Customer satisfaction in Nando's restaurantCustomer satisfaction in Nando's restaurant
Customer satisfaction in Nando's restaurant
 

Recently uploaded

VIP Vapi Call Girls 📞 8617697112 Vapi Call Girls
VIP Vapi Call Girls 📞 8617697112 Vapi Call GirlsVIP Vapi Call Girls 📞 8617697112 Vapi Call Girls
VIP Vapi Call Girls 📞 8617697112 Vapi Call GirlsNitya salvi
 
Ooty call girls 📞 8617697112 At Low Cost Cash Payment Booking
Ooty call girls 📞 8617697112 At Low Cost Cash Payment BookingOoty call girls 📞 8617697112 At Low Cost Cash Payment Booking
Ooty call girls 📞 8617697112 At Low Cost Cash Payment BookingNitya salvi
 
Study Consultants in Lahore || 📞03094429236
Study Consultants in Lahore || 📞03094429236Study Consultants in Lahore || 📞03094429236
Study Consultants in Lahore || 📞03094429236Sherazi Tours
 
visa consultant | 📞📞 03094429236 || Best Study Visa Consultant
visa consultant | 📞📞 03094429236 || Best Study Visa Consultantvisa consultant | 📞📞 03094429236 || Best Study Visa Consultant
visa consultant | 📞📞 03094429236 || Best Study Visa ConsultantSherazi Tours
 
Genuine 9332606886 Hot and Beautiful 💕 Pune Escorts call Girls
Genuine 9332606886 Hot and Beautiful 💕 Pune Escorts call GirlsGenuine 9332606886 Hot and Beautiful 💕 Pune Escorts call Girls
Genuine 9332606886 Hot and Beautiful 💕 Pune Escorts call GirlsDeiva Sain Call Girl
 
💕📲09602870969💓Girl Escort Services Udaipur Call Girls in Chittorgarh Haldighati
💕📲09602870969💓Girl Escort Services Udaipur Call Girls in Chittorgarh Haldighati💕📲09602870969💓Girl Escort Services Udaipur Call Girls in Chittorgarh Haldighati
💕📲09602870969💓Girl Escort Services Udaipur Call Girls in Chittorgarh HaldighatiApsara Of India
 
08448380779 Call Girls In Chhattarpur Women Seeking Men
08448380779 Call Girls In Chhattarpur Women Seeking Men08448380779 Call Girls In Chhattarpur Women Seeking Men
08448380779 Call Girls In Chhattarpur Women Seeking MenDelhi Call girls
 
A tour of African gastronomy - World Tourism Organization
A tour of African gastronomy - World Tourism OrganizationA tour of African gastronomy - World Tourism Organization
A tour of African gastronomy - World Tourism OrganizationJuan Carlos Fonseca Mata
 
Genuine 8250077686 Hot and Beautiful 💕 Diu Escorts call Girls
Genuine 8250077686 Hot and Beautiful 💕 Diu Escorts call GirlsGenuine 8250077686 Hot and Beautiful 💕 Diu Escorts call Girls
Genuine 8250077686 Hot and Beautiful 💕 Diu Escorts call GirlsDeiva Sain Call Girl
 
sample sample sample sample sample sample
sample sample sample sample sample samplesample sample sample sample sample sample
sample sample sample sample sample sampleCasey Keith
 
"Embark on the Ultimate Adventure: Top 10 Must-Visit Destinations for Thrill-...
"Embark on the Ultimate Adventure: Top 10 Must-Visit Destinations for Thrill-..."Embark on the Ultimate Adventure: Top 10 Must-Visit Destinations for Thrill-...
"Embark on the Ultimate Adventure: Top 10 Must-Visit Destinations for Thrill-...Ishwaholidays
 
Texas Tales Brenham and Amarillo Experiences Elevated by Find American Rental...
Texas Tales Brenham and Amarillo Experiences Elevated by Find American Rental...Texas Tales Brenham and Amarillo Experiences Elevated by Find American Rental...
Texas Tales Brenham and Amarillo Experiences Elevated by Find American Rental...Find American Rentals
 
Night 7k to 12k Lahaul and Spiti Call Girls 👉👉 8617697112⭐⭐ 100% Genuine Esco...
Night 7k to 12k Lahaul and Spiti Call Girls 👉👉 8617697112⭐⭐ 100% Genuine Esco...Night 7k to 12k Lahaul and Spiti Call Girls 👉👉 8617697112⭐⭐ 100% Genuine Esco...
Night 7k to 12k Lahaul and Spiti Call Girls 👉👉 8617697112⭐⭐ 100% Genuine Esco...Nitya salvi
 
Are Vatican Museum Tickets and Private Tours Worth It
Are Vatican Museum Tickets and Private Tours Worth ItAre Vatican Museum Tickets and Private Tours Worth It
Are Vatican Museum Tickets and Private Tours Worth Itvaticanguidedtour
 
Genesis 1:6 || Meditate the Scripture daily verse by verse
Genesis 1:6  ||  Meditate the Scripture daily verse by verseGenesis 1:6  ||  Meditate the Scripture daily verse by verse
Genesis 1:6 || Meditate the Scripture daily verse by versemaricelcanoynuay
 
9 Days Kenya Ultimate Safari Odyssey with Kibera Holiday Safaris
9 Days Kenya Ultimate Safari Odyssey with Kibera Holiday Safaris9 Days Kenya Ultimate Safari Odyssey with Kibera Holiday Safaris
9 Days Kenya Ultimate Safari Odyssey with Kibera Holiday SafarisKibera Holiday Safaris Safaris
 
DEHRADUN, uttarakhand, Uttarakhand tourism .pptx
DEHRADUN, uttarakhand, Uttarakhand tourism .pptxDEHRADUN, uttarakhand, Uttarakhand tourism .pptx
DEHRADUN, uttarakhand, Uttarakhand tourism .pptxpalakdigital7
 
Hire 💕 8617697112 Reckong Peo Call Girls Service Call Girls Agency
Hire 💕 8617697112 Reckong Peo Call Girls Service Call Girls AgencyHire 💕 8617697112 Reckong Peo Call Girls Service Call Girls Agency
Hire 💕 8617697112 Reckong Peo Call Girls Service Call Girls AgencyNitya salvi
 
ITALY - Visa Options for expats and digital nomads
ITALY - Visa Options for expats and digital nomadsITALY - Visa Options for expats and digital nomads
ITALY - Visa Options for expats and digital nomadsMarco Mazzeschi
 

Recently uploaded (20)

VIP Vapi Call Girls 📞 8617697112 Vapi Call Girls
VIP Vapi Call Girls 📞 8617697112 Vapi Call GirlsVIP Vapi Call Girls 📞 8617697112 Vapi Call Girls
VIP Vapi Call Girls 📞 8617697112 Vapi Call Girls
 
Ooty call girls 📞 8617697112 At Low Cost Cash Payment Booking
Ooty call girls 📞 8617697112 At Low Cost Cash Payment BookingOoty call girls 📞 8617697112 At Low Cost Cash Payment Booking
Ooty call girls 📞 8617697112 At Low Cost Cash Payment Booking
 
Study Consultants in Lahore || 📞03094429236
Study Consultants in Lahore || 📞03094429236Study Consultants in Lahore || 📞03094429236
Study Consultants in Lahore || 📞03094429236
 
visa consultant | 📞📞 03094429236 || Best Study Visa Consultant
visa consultant | 📞📞 03094429236 || Best Study Visa Consultantvisa consultant | 📞📞 03094429236 || Best Study Visa Consultant
visa consultant | 📞📞 03094429236 || Best Study Visa Consultant
 
Genuine 9332606886 Hot and Beautiful 💕 Pune Escorts call Girls
Genuine 9332606886 Hot and Beautiful 💕 Pune Escorts call GirlsGenuine 9332606886 Hot and Beautiful 💕 Pune Escorts call Girls
Genuine 9332606886 Hot and Beautiful 💕 Pune Escorts call Girls
 
💕📲09602870969💓Girl Escort Services Udaipur Call Girls in Chittorgarh Haldighati
💕📲09602870969💓Girl Escort Services Udaipur Call Girls in Chittorgarh Haldighati💕📲09602870969💓Girl Escort Services Udaipur Call Girls in Chittorgarh Haldighati
💕📲09602870969💓Girl Escort Services Udaipur Call Girls in Chittorgarh Haldighati
 
08448380779 Call Girls In Chhattarpur Women Seeking Men
08448380779 Call Girls In Chhattarpur Women Seeking Men08448380779 Call Girls In Chhattarpur Women Seeking Men
08448380779 Call Girls In Chhattarpur Women Seeking Men
 
A tour of African gastronomy - World Tourism Organization
A tour of African gastronomy - World Tourism OrganizationA tour of African gastronomy - World Tourism Organization
A tour of African gastronomy - World Tourism Organization
 
Genuine 8250077686 Hot and Beautiful 💕 Diu Escorts call Girls
Genuine 8250077686 Hot and Beautiful 💕 Diu Escorts call GirlsGenuine 8250077686 Hot and Beautiful 💕 Diu Escorts call Girls
Genuine 8250077686 Hot and Beautiful 💕 Diu Escorts call Girls
 
sample sample sample sample sample sample
sample sample sample sample sample samplesample sample sample sample sample sample
sample sample sample sample sample sample
 
"Embark on the Ultimate Adventure: Top 10 Must-Visit Destinations for Thrill-...
"Embark on the Ultimate Adventure: Top 10 Must-Visit Destinations for Thrill-..."Embark on the Ultimate Adventure: Top 10 Must-Visit Destinations for Thrill-...
"Embark on the Ultimate Adventure: Top 10 Must-Visit Destinations for Thrill-...
 
Texas Tales Brenham and Amarillo Experiences Elevated by Find American Rental...
Texas Tales Brenham and Amarillo Experiences Elevated by Find American Rental...Texas Tales Brenham and Amarillo Experiences Elevated by Find American Rental...
Texas Tales Brenham and Amarillo Experiences Elevated by Find American Rental...
 
Night 7k to 12k Lahaul and Spiti Call Girls 👉👉 8617697112⭐⭐ 100% Genuine Esco...
Night 7k to 12k Lahaul and Spiti Call Girls 👉👉 8617697112⭐⭐ 100% Genuine Esco...Night 7k to 12k Lahaul and Spiti Call Girls 👉👉 8617697112⭐⭐ 100% Genuine Esco...
Night 7k to 12k Lahaul and Spiti Call Girls 👉👉 8617697112⭐⭐ 100% Genuine Esco...
 
Are Vatican Museum Tickets and Private Tours Worth It
Are Vatican Museum Tickets and Private Tours Worth ItAre Vatican Museum Tickets and Private Tours Worth It
Are Vatican Museum Tickets and Private Tours Worth It
 
Discover Mathura And Vrindavan A Spritual Journey.pdf
Discover Mathura And Vrindavan A Spritual Journey.pdfDiscover Mathura And Vrindavan A Spritual Journey.pdf
Discover Mathura And Vrindavan A Spritual Journey.pdf
 
Genesis 1:6 || Meditate the Scripture daily verse by verse
Genesis 1:6  ||  Meditate the Scripture daily verse by verseGenesis 1:6  ||  Meditate the Scripture daily verse by verse
Genesis 1:6 || Meditate the Scripture daily verse by verse
 
9 Days Kenya Ultimate Safari Odyssey with Kibera Holiday Safaris
9 Days Kenya Ultimate Safari Odyssey with Kibera Holiday Safaris9 Days Kenya Ultimate Safari Odyssey with Kibera Holiday Safaris
9 Days Kenya Ultimate Safari Odyssey with Kibera Holiday Safaris
 
DEHRADUN, uttarakhand, Uttarakhand tourism .pptx
DEHRADUN, uttarakhand, Uttarakhand tourism .pptxDEHRADUN, uttarakhand, Uttarakhand tourism .pptx
DEHRADUN, uttarakhand, Uttarakhand tourism .pptx
 
Hire 💕 8617697112 Reckong Peo Call Girls Service Call Girls Agency
Hire 💕 8617697112 Reckong Peo Call Girls Service Call Girls AgencyHire 💕 8617697112 Reckong Peo Call Girls Service Call Girls Agency
Hire 💕 8617697112 Reckong Peo Call Girls Service Call Girls Agency
 
ITALY - Visa Options for expats and digital nomads
ITALY - Visa Options for expats and digital nomadsITALY - Visa Options for expats and digital nomads
ITALY - Visa Options for expats and digital nomads
 

An empirical examination of online restaurant reviews

  • 1. ENTER 2016 Research Track Slide Number 1 An Empirical Examination of Online Restaurant Reviews(Yelp.com) : Moderating Roles of Restaurant Type and Self-image Disclosure Sunyoung Hleea , Jimin Leeb , Sung-Byung Yangc , Chulmo Kood a,b Department of Convention & Exhibition management, Graduate School, Kyung Hee University, Seoul, Republic of Korea c School of Business, Ajou University, Suwon, Republic of Korea d College of Hotel & Tourism Management Kyung Hee University, Republic of Korea helmetgu@khu.ac.kr
  • 2. ENTER 2016 Research Track Slide Number 2 1. Introduction 2. Theoretical Background 1) Online Travel Reviews 2) Elaboration Likelihood Model 3) Restaurant Experience 3. Operationalization of Variables 4. Research Model & Hypothesis 5. Methodology 6. Data Analysis 7. Results 8. Conclusions 9. Limitations
  • 3. ENTER 2016 Research Track Slide Number 3 TripAdvisor announced “the results of TripBarometer”(2014) The Importance of Online Consumer Reviews 85% of consumers will search the internet for online reviews. 1 92% of consumers will use a local business if it has at least a 4-star rating. 4 79% of consumers trust online reviews. 2 Online reviews make consumers trust a local business more. 3 86% of consumers will hesitate to purchase from a business that has negative online reviews. 5 I. Introduction
  • 4. ENTER 2016 Research Track Slide Number 4 I. Introduction Creation of share economy for local business •Online travel reviews allows tourism businesses to have active, positive participation from tourists. •… provide consumers a main platform to create a relationship with small medium tourism businesses.
  • 5. ENTER 2016 Research Track Slide Number 5 Many studies have explored the various features and elements of online reviews to evaluate their influences on consumer perceptions. (Jeong & Jang, 2011; Liu & Park, 2015; Park & Nicolau, 2015; Racherla & Friske 2012) Star Ratings, Review Length, Readability, Negative vs. Positive words Reviewer Factors Reviewers' Identity Disclosure(i.e., real location, real name, real photo), Expertise, Reputation (number of reviews, friends, elite award) Review Factors Other Factors Product Types(Experience vs. Search good), Price level Textual Aspects I. Introduction
  • 6. ENTER 2016 Research Track Slide Number 6 Textual AspectsTextual Aspects Imagery AspectsImagery Aspects + Review Usefulness I. Introduction DINESCAPE Food & BeverageFood & Beverage Physical Environment Physical Environment Restaurant TypesRestaurant Types Self-image disclosure Self-image disclosure Elaboration Likelihood Model (Petty and Cacioppo,1979) Elaboration Likelihood Model (Petty and Cacioppo,1979) Central CuesCentral Cues Peripheral CuesPeripheral Cues Restaurant Experince
  • 7. ENTER 2016 Research Track Slide Number 7 2. Theoretical Background_ 1) Online Consumer Reviews Review Usefulness/ hepfulness Review Usefulness/ hepfulness Text-based reviews Text-based reviews Video-based reviews Video-based reviews Review EnjoymentReview Enjoyment ① ② (Liu and Park, 2015; Baek et al. 2012; Korfiatis et. al., 2012; Forman et al. 2008; Ghose et al. 2011) ③ (Park and Niolau, 2015) ③ ① (Xu et. al.,2015) ② Evaluation of reviews Reviewer Characteristics Reviewer Characteristics Presentation Formats of review Characteristics ③ Product Types Consumer Characteristics Moderator Image-based reviews Image-based reviews ④ ④ This study Restaurant Types Reviewer’s Self-Image Disclosure
  • 8. ENTER 2016 Research Track Slide Number 8 2. Theoretical Background_2) ELM The elaboration likelihood model (ELM) proposes two major routes of persuasion: the central route & the peripheral route.(Petty and Cacioppo,1979) •Consumers have a high level of message elaboration in which a great amount of cognition. •This can lead to permanent change in consumer attitude as we adopt and elaborate upon the speaker’s arguments. Central RouteCentral Route •Peripheral cues are generally unrelated to the logical quality of the stimulus. •This can lead temporary attitude change. Perpheral RoutePerpheral Route
  • 9. ENTER 2016 Research Track Slide Number 9 2. Theoretical Background_2) ELM High motivation and ability to think about the message High motivation and ability to think about the message Lasting change that resists fading and counterattacks Lasting change that resists fading and counterattacks Information (Online Reviews) Deep processing, focused on the quality of the message arguments Deep processing, focused on the quality of the message arguments Audience Factors Processing Approach Persuasion Outcome Low motivation or ability to think about the message Low motivation or ability to think about the message Superficial processing, Focused on the surface features such as the communicatior’s attractiveness or the number of arguments presented Superficial processing, Focused on the surface features such as the communicatior’s attractiveness or the number of arguments presented Temporary change that is susceptible th fading and counterattacks Temporary change that is susceptible th fading and counterattacks Central Cues : Review Length, Negative words%Central Cues : Review Length, Negative words% (Baek, Ahn, and Choi, 2012) Peripheral Cues : Star Rating, Reviewer’s reputation, Real NamePeripheral Cues : Star Rating, Reviewer’s reputation, Real Name Central Cues Peripheral Cues
  • 10. ENTER 2016 Research Track Slide Number 10 Review Usefulness Attributes of Textual Review Attributes of Imagery Review # Online Review Sample(Yelp.com) Reviewer’s Self-image Disclosure Central CuesCentral Cues Peripheral CuesPeripheral Cues Restaurant Type (Casual dining vs. Fine Dining)
  • 11. ENTER 2016 Research Track Slide Number 11 2. Theoretical Background_3) Restaurant Experience DINESCAPE Restaurant Types Food & Beverage VS & Physical Environment Fine Dining Restaurant Casual Dining Restaurant (Ryu, K. & Jang, S. , 2008) (wang & Ok, 2013)
  • 12. ENTER 2016 Research Track Slide Number 12 3. Operationalization of variables Physical Environment Image Food& Beverage Image Review Readability Review Length Modrator Self Image Disclosure Independent Variables Dependent Variables Restaurant Types
  • 13. ENTER 2016 Research Track Slide Number 13 4. Research Model & Hypotheses Peripheral Cues Review UsefulnessReview Usefulness Physical Environment images Physical Environment images Food & Beverage images Food & Beverage images Central Cues Review LengthReview Length Review ReadabilityReview Readability Self-image disclosure (Whether the reviewers disclose their real photo or not) Self-image disclosure (Whether the reviewers disclose their real photo or not) H1 H2 H3 H4 H5a H6a Restaurant Type (Casual dining VS. Fine dining) Restaurant Type (Casual dining VS. Fine dining) H5b H6b Hypothesis 1: As the number of words in a review text increases, a review’s usefulness increases. Hypothesis 2: As the readability of the review text increases, a review’s usefulness increases. (Baek et al., 2012; Korfiatis et al., 2012; Lui & Park, 2015; Mudanbi & Schuff, 2010; Racherla & Friske, 2012) Hypothesis 3: As the number of physical environment images in a review increases, a review’s usefulness increases. Hypothesis 4: As the number of food & beverage images in a review increases, a review’s usefulness increases. (Xu et al., 2015; Hong et al., 2004; Weather et al., 2007) Hypothesis 5a: Text formats (review length, review readability) of online travel reviews have stronger effects on review usefulness in a casual dining restaurant type than in a fine dining restaurant type. Hypothesis 5b: Image formats (physical environment images, food & beverage images) of online travel reviews have stronger effects on review usefulness in a casual dining restaurant type than in a fine dining restaurant type. (Kim & Moon , 2009; Xu et al., 2015) Hypothesis 6a: Text formats (review length, review readability) of online travel reviews have stronger effects on review usefulness without reviewer’s self-image disclosure than with it. Hypothesis 6b: Image formats (physical environment images, food & beverage images) of online travel reviews have stronger effects on review usefulness without reviewers’ self- image disclosure than with it. (Sirgy & Su, 2000; Xu et al., 2015)
  • 14. ENTER 2016 Research Track Slide Number 14 Independent Variables Dependent Variables Textual cues Review Length Review Length Review Readability Review Readability Word count FRE, ARI, FOG, CLI Physical Environment images Physical Environment images Food imagesFood images Number of total images in total reviews Review Usefulness # of vote online users who voted that the reviews were useful in response to the reviews posted Using website ‘Readability-Score.com’ Manual Collection Web-Harvesting Web-Harvesting Imagery cues 5. Research Methodology_Data collection
  • 15. ENTER 2016 Research Track Slide Number 15 5. Research Methodology_Data collection •Casual dining restaurants from ‘Yelp's Top 100 Places to Eat in the U.S.’ for 2015 because of their reliability and validity. •Fine dining restaurants from Michelin three stars located in New York City and the top-ranked restaurant on the first web page •1,323 reviews of casual dining restaurants(Cropper Top BBQ, Soho Japanese/ 1,306 reviews of fine dining restaurants for this research(Eleven Madison Park). • Data collection period: July 18 ~23, 2015
  • 16. ENTER 2016 Research Track Slide Number 16 Descriptive statistics and comparison of means for subsamples Variable Casual Dining Restaurant (n=1,323) Fine Dining Restaurant (n=1,306) p-value Mean SD Mean SD Length 118.717 123.878 211.501 202.039 0.000*** ARI 4.036 2.713 6.046 3.129 0.000*** Physical Environment 0.150 0.709 0.425 4.108 0.017* Food &Beverage 0.963 2.818 1.491 8.553 0.034* Usefulness 1.297 3.223 1.809 3.443 0.000*** Self image Disclosure 0.534 0.499 0.547 0.498 0.502 6. Data Analysis
  • 17. ENTER 2016 Research Track Slide Number 17 6. Data Analysis_ Hypothesis testing_Restaurant Type
  • 18. ENTER 2016 Research Track Slide Number 18 6. Data Analysis_ Hypothesis testing_Self Image Disclosure
  • 19. ENTER 2016 Research Track Slide Number 19 Peripheral Cues Review UsefulnessReview Usefulness Physical Environment images Physical Environment images Food & Beverage images Food & Beverage images Central Cues Review LengthReview Length Review ReadabilityReview Readability Self-image disclosure (Whether the reviewers disclose their real photo or not) Self-image disclosure (Whether the reviewers disclose their real photo or not) Restaurant Type (Casual dining VS. Fine dining) Restaurant Type (Casual dining VS. Fine dining) 7. Results 0.015*** 0.034*** 0.199*** 0.175*** - 0.011*** -1.618*** -0.699*** -0.041 0.001 0.044 -1.519*** -0.361***
  • 20. ENTER 2016 Research Track Slide Number 20 8. Implications •To explore the effects of two presentation formats of OTRs affect perceived review usefulness from the perspective of ELM. •To assess not only text formats as central cus but also the peripheral image formats may contain enough information to guide decision-making for purchase tourism related products. •Restaurant type, the most important factor of restaurant choice, is a central cue which plays the moderator role in both central and peripheral cues’ impacts on review usefulness. • The moderating roles of restaurant type and reviewers’ self-image disclosure from the perspective of DINESCAPE. Theoretical Implications • Restaurant type as the most important factor of consumer attitude works differently. Review length and the images of restaurant experience of casual dining restaurant are more important to review usefulness than fine dining restaurant. • Restaurant managers and marketers should recognize the importance of image reviews and devote the greatest effort and resources to prepare high quality of food and environment. •Organizers of tourism review websites should stimulate reviewer to disclose his/her self-image and image format reviews. Practical Implications
  • 21. ENTER 2016 Research Track Slide Number 21 9. Limitations • To focuse only on one type of business service, the restaurant business. • To overlooked that multi-aspects of review attributes such as real address and name, reviewers’ reputation, star rating, past experience etc. • To fail to reflect other customers’ opinion, who did not vote. Limitations
  • 22. ENTER 2016 Research Track Slide Number 22 Thank you. Q&A
  • 23. ENTER 2016 Research Track Slide Number 23 TripAdvisor announced “the results of TripBarometer”(2014)
  • 24. ENTER 2016 Research Track Slide Number 24
  • 25. ENTER 2016 Research Track Slide Number 25 Theoretical Background_2) ELM
  • 26. ENTER 2016 Research Track Slide Number 26 Descriptive Statistics for full sample (n=2,629) Variable Min Max Mean std. variance Review Length 1 973 164.81 173.62 30142.67 ARI -20.9 23.1 5.03 3.09 9.58 Physical Environment 0 82 0.29 2.94 8.65 Food &Beverage 0 143 1.23 6.36 40.39 Review Usefulness 0 46 1.55 3.34 11.18 Self image Disclosure 0 1 0.54 0.50 0.25 6. Data Analysis

Editor's Notes

  1. In the smart tourism age, Online reviews are a very powerful source of information that has a major impact on consumer behaviour, consumer loyalty, and the entire purchasing process. Customers post their comments on the online review websites, such like triadvisor, yelp.com, amazon.com and so on. In here, we can check out The Importance of Online Reviews. Why Online Consumer Reviews Will be More Important in the future? At first, 85% of consumers will search the internet for online reviews of a product, service, hotel, restaurant, or attraction, before making a decision to purchase. Online reviews make consumers trust a local business more. And then, 79% of consumers trust online reviews. Most of Consumer think online reviews are trustworthy and fair. Especially, online reviews are considered an important factor in local small and medium size business. The major part of online consumer reviews is related with dining, lodging and shopping. And also, online reviews have an impact on consumers' purchasing attitude. 92% of consumers will use a local business if it has at least a 4-star rating. And, 86% of consumers will hesitate to purchase from a business that has negative online reviews.
  2. Online travel reviews allows Tourism businesses to have active, positive participation from tourists and gives consumers a main platform to create a relationship with small medium tourism businesses. For this reason, online reviews have created a new form of business and marketing which is identified on-demand economy and share economy platform. That‘s kind of uber, luxu city guide, and airbnb.
  3. From the prior research, we could find the research topic about online travel reviews and influential factors on consumer perception. Many studies have explored on various features and elements of online reviews to evaluate their influences on consumer perceptions. There are three dimensions of the factors that affect the review usefulness. First, from the review perspective, we can find Star Ratings, Review Valence, Review Length, Readability, Negative vs. Positive words as influential factors. But, from the past until now, Most of researchers have focused on textual aspects of online reviews. Another factors, reviewer Factors, It include Reviewers' Identity Disclosure(i.e., location, real name, real photo), Expertise, Reputation(number of reviews, friends, elite award) The last, Product Types(Experience vs. Search good) and Price level are also defined as important elements.
  4. 6▶You can see the summary of our research. Our research studies not only textual aspects but also imagery aspects of online travel reviews. The object of our study are to explore the different presentation formats affecting the review usefulness. Conventionally, textual aspects are proposed as the significant factors on review usefulness. Our research adds the imagery aspects from restaurant experience. DINESCAPE is the measurement to evaluate restaurant quality. Another object of the study is to investigate the moderating effects of restaurant type and reviewer’s self-image disclosure. In order to achieve research goal, we adopted the basis of Petty & Cacioppo’s Elaboration Likelihood Model (ELM). From here, textual aspects and restaurant types are defined as central cues of ELM. On the other hand, imagery aspects and self-image disclosure are defined as peripheral cues of ELM. I will explain ELM in detail, later.
  5. 7▶And the next page, I will present the Theoretical Background about Online Reviews. As I mentioned, from the previous study, we could fine the evaluation of textual aspects, kinds of review length, readability, negative or positive words count, on review usefulness or helpfulness. Conventionally, reviewer characteristics have been defined as important factors on information processing. It includes identity disclosure (kinds of location, real name, real photo image), reputation, expertise and so on. Recently, not only ‘review usefulness’ but also ‘review enjoyment’ are conducted to dependent variables. However, there are a few studies about other presentation formats. As you can see, Xu et al studied vedio-based reviews and proposed video formats have powerful impact on Review Credibility, Review Helpfulness, and Review Persuasiveness. In the meanwhile, the papers that researchers have studied image based reviews are rare. In order to fulfill this gap, we explored the relationship between textual and imagery reviews. From the prior research, Product characteristics and consumer characteristics are usually considered as moderator. In our study, we conducted restaurant type and reviewer’s self-image disclosure. Sales/Revenue, Firm responses, Credibility/Trust in review, New product adoption
  6. Second theory we used is elaboration likelihood model. The ELM is a general theory of attitude change. The ELM proposes two major routes to persuasion: the central route and the peripheral route. Under the central route, consumer have a high level of message elaboration in which a great amount of cognition. This can lead to permanent change in our attitude as we adopt and elaborate upon the speaker’s arguments. However, under the peripheral cues, we are generally unrelated to the logical quality of the stimulus. This can lead temporary attitude change.
  7. 8▶ Second theory we used is elaboration likelihood model. The ELM is a general theory of attitude change. The ELM proposes two major routes to persuasion: the central route and the peripheral route. Under the central route, consumer have a high level of message elaboration in which a great amount of cognition. This can lead to permanent change in our attitude as we adopt and elaborate upon the speaker’s arguments. However, under the peripheral cues, we are generally unrelated to the logical quality of the stimulus. This can lead temporary attitude change. In here, we distinguish that central cues are related High motivation and ability, Deep processing, Lasting change. However, peripheral cues are related Low motivation or ability , Superficial processing, Focused on the surface features, Temporary change. Hence, several scholars have investigated information processes employing the ELM for the theoretical background of the online reviews framework. (Baek et al., 2012; Park & Kim, 2008; Sher & Lee, 2009; Xu et al., 2015; Zhang et al., 2010b For example, Central Cues as Word Count, Negative word %, Peripheral Cues as Star Rating, Reviewer’s reputation, Real Name.
  8. 9▶ Now, you can see online review sample from yelp.com We considered reviewer characteristics and attributes of imagery review as peripheral cues and then considered attributes of textual review as central cues. Perceived usefulness is defined as dependent variables.
  9. 10▶The third theory, I will explain is about restaurant experience. Restaurant type is an essential factor to influence the customers dining experience and information searching according to their dining motivation. This is closely related to the price of products or services. Normally, we can distinguish fine dining and casual dining restaurant. Fine dining restaurant has high quality food and luxurious environment. We should pay more than casual dining restaurant. Food is most important features to measure restaurant level and quality. Several researchers investigated the moderating role of restaurant type (i.e., casual vs. fine dining) with customers’ response to the DINESCAPE. DINESCAPE framework has been employed to measure restaurant customers’ perception of the physical environment. This includes aesthetics, lighting, ambience, layout, dining equipment, and employees. Several researchers have studied the impact of food and physical environment quality. Also, they have examined restaurant type as the possibility of a moderator. Therefore, we explored the impacts of Restaurant type(fine dining vs. casual dining) as a moderator and conducted the images of food and beverage and physical environment as independent variables.
  10. 11▶ Now, I am telling about Operationalization of variables. Review Length is the number of total words in each review Review Readability is the degree of comprehensibility in each review and the ARI readability index was measured in this research Physical Environment Images is the number of images representing the facility aesthetics, layout, table settings, and service staff in each review Food & Beverage Images is the number of images representing the food or drink that cooked and offered by restaurant Self-image disclosure is whether or not the reviewers of each review disclose their real photo which is clear enough to identify their faces Casual Dining Restaurants is the restaurants with a casual atmosphere and customers pay moderate price at $15 Fine Dining Restaurants is the restaurants with an elegant, luxurious atmosphere and customers pay a relatively high price at $50.
  11. 11▶ Based on the explain about theory we used, Obviously, our research model looks like this. There are 8 hypotheses of the model. As a general agreement, several researchers asserted that review rating, review length, review readability are significant factors to impact on review usefulness. (Baek et al., 2012; Korfiatis et al., 2012; Lui & Park, 2015; Mudanbi & Schuff, 2010; Racherla & Friske, 2012) Thus, we consider the effects of review length, review readability the central cues on review usefulness in the following hypotheses. (클릭) Several research findings showed that visual presentation with peripheral cues can be more attractive and persuasive (Hong et al., 2004 Weather et al., 2007). Thus, we consider the effects of the number of images food& beverage and physical environment on review usefulness. (클릭) The next hypotheses is to assess the moderating role of restaurant type and self-image disclosure. (클릭) Kim & Moon (2009) investigated the moderating role of restaurant type (i.e., casual vs. fine dining) with customers’ response to the servicescape. All of independent variables of online travel reviews have stronger effects on review usefulness in a casual dining restaurant type than in a fine dining restaurant type. Sirgy & Su (2000) found that self-image is a salient factor of traveller satisfaction with the destination. They suggested that social self-image was matched between the store and the patron’s image. Personal and environmental factors tend to moderate the strength and direction on purchase behaviour. All of independent variables of online travel reviews have stronger effects on review without reviewers’ self-image disclosure than with it.
  12. 13▶ As you see, we used both web harvesting and manual operation for data collection. Review length, readability and useful votes are collected through web harvesting and then measure this by using Readability-Score.com. However, images of food& beverage, physical environment and self-image disclosure were collected through hand manual operation.
  13. 1,323 reviews of casual dining restaurants were collected from the top two restaurants from ‘Yelp's Top 100 Places to Eat in the U.S for 2015'. 1,306 reviews of fine dining restaurants were collected from Michelin three stars located in New York City.
  14. 17▶ This is the general statistics of analysis. I wouldn’t like to explain in detail about this because of time.
  15. 18▶ As you can see here, there are the formula of regression. We executed the simple regression with each independent variable alone to see the main effects of independent variables. In addition, the stepwise regression analysis was executed. As a results, we confirmed that central and peripheral cues have a positive effect on review usefulness supporting the H1, H2, H3 and H4 in Table 2. In addition, we analysed interaction term to test moderator effects. First, the results of moderator effects of restaurant type showed that all of the interaction term excluding the ARI showed significant level at p<0.001. So, the review length, physical environment images and food & beverage images have more positive effects on review usefulness for casual dining restaurants partially supporting H5a and H5b.
  16. 19▶ In addition, the results of moderator effects of real photo showed that the only interaction term of peripheral cues (i.e., physical environments, food & beverage images) was significant. It means that if reviewers disclose their faces, the effects of physical environment images and food & beverage images on review usefulness were lessened. The results supported H6b that the self-image disclosure moderates the effect of physical environment images and food & beverage images on review usefulness respectively. However, review length and readability did not appear the moderating effect.
  17. this study could fill the gap to an extent hospitality marketing studies All the factors of independent, excepting for review readability, have stronger effects on review usefulness in the casual dining restaurant than in the fine dining restaurant.
  18. this study could fill the gap to an extent hospitality marketing studies All the factors of independent, excepting for review readability, have stronger effects on review usefulness in the casual dining restaurant than in the fine dining restaurant. it is needed to design a survey or experimental research to overcome this limitation in future research.
  19. this study could fill the gap to an extent hospitality marketing studies All the factors of independent, excepting for review readability, have stronger effects on review usefulness in the casual dining restaurant than in the fine dining restaurant. it is needed to design a survey or experimental research to overcome this limitation in future research.
  20. 숫자가 의미하는것 설명?