SlideShare a Scribd company logo
1 of 18
A contrast analysis of online hotel web service purchasers and browsers Presenter: Hsin-Pei Pan Instructor: Dr. Pi-Ying Hsu Date: 2010/04/20
Rong, J., Li, G., & Law, R. (2009). A contrast analysis of online hotel web service purchasers and browsers.  International Journal of Hospitality Management, 28 , 466-478.
Contents ,[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object]
Introduction Hotel website users (Law & Hsu, 2006) Browsers (lookers) Purchasers (buyers)
Introduction Online purchasers of travel websites viewed quality information, purchase information and service/product information significantly more important than browsers.  (Law & Bai, 2008)
Introduction Segmentation refers to the process of forming groups of people that are homogenous in terms of demand elasticity and accessible via marketing strategies. (Brey, et al., 2007)
[object Object],Purpose of the study
Methodology Hong Kong International Airport Online purchasers 238 respondents Online browsers 66 respondents
Methodology First section Demographic information Second section Perceived importance of specific dimensions and attributes of hotel websites.  Third section Perceptions of the importance of these dimensions and attributes when they considered making online purchase of hotel rooms in different hotel categories.  7-point Likert Scale
Methodology Self-organizing maps (SOMs)
Results
Results
Results Purchasers Browsers Western  Asian
Conclusions ,[object Object],[object Object],[object Object]
Reflection Detailed explanations of the methodology. Shows clear tables of the results .
Reflection ,[object Object]
Thanks for your listening.

More Related Content

Viewers also liked

Breakfast island
Breakfast islandBreakfast island
Breakfast islandjackie
 
Presentaciion conn fondoos todo echo
Presentaciion conn fondoos todo echoPresentaciion conn fondoos todo echo
Presentaciion conn fondoos todo echodbhnagore
 
0420 presentation
0420 presentation0420 presentation
0420 presentationguest5885e3
 
Favorite food
Favorite foodFavorite food
Favorite foodjackie
 
Member involvement 7 secrets ncb
Member involvement   7 secrets ncbMember involvement   7 secrets ncb
Member involvement 7 secrets ncbguest79f57738a
 
Presentaciion conn fondoos todo echo
Presentaciion conn fondoos todo echoPresentaciion conn fondoos todo echo
Presentaciion conn fondoos todo echodbhnagore
 
Social media proposal disneys epcot
Social media proposal disneys epcotSocial media proposal disneys epcot
Social media proposal disneys epcotjlo11
 
Intel Presentation
Intel Presentation Intel Presentation
Intel Presentation boydelle
 

Viewers also liked (9)

Breakfast island
Breakfast islandBreakfast island
Breakfast island
 
Presentaciion conn fondoos todo echo
Presentaciion conn fondoos todo echoPresentaciion conn fondoos todo echo
Presentaciion conn fondoos todo echo
 
0420 presentation
0420 presentation0420 presentation
0420 presentation
 
Sklizkova
SklizkovaSklizkova
Sklizkova
 
Favorite food
Favorite foodFavorite food
Favorite food
 
Member involvement 7 secrets ncb
Member involvement   7 secrets ncbMember involvement   7 secrets ncb
Member involvement 7 secrets ncb
 
Presentaciion conn fondoos todo echo
Presentaciion conn fondoos todo echoPresentaciion conn fondoos todo echo
Presentaciion conn fondoos todo echo
 
Social media proposal disneys epcot
Social media proposal disneys epcotSocial media proposal disneys epcot
Social media proposal disneys epcot
 
Intel Presentation
Intel Presentation Intel Presentation
Intel Presentation
 

Similar to C:\Fakepath-420 Presentation

Things to Consider for Improvement of Usability of E-Commerce in Context of B...
Things to Consider for Improvement of Usability of E-Commerce in Context of B...Things to Consider for Improvement of Usability of E-Commerce in Context of B...
Things to Consider for Improvement of Usability of E-Commerce in Context of B...Umma Khatuna Jannat
 
A Fuzzy Expert System for Assessing the InternetStores Based on Web Site Attr...
A Fuzzy Expert System for Assessing the InternetStores Based on Web Site Attr...A Fuzzy Expert System for Assessing the InternetStores Based on Web Site Attr...
A Fuzzy Expert System for Assessing the InternetStores Based on Web Site Attr...IDES Editor
 
An Assessment Of Indonesian Charter Airline Website Quality
An Assessment Of Indonesian Charter Airline Website QualityAn Assessment Of Indonesian Charter Airline Website Quality
An Assessment Of Indonesian Charter Airline Website QualityDustin Pytko
 
An Assessment Of Indonesian Charter Airline Website Quality
An Assessment Of Indonesian Charter Airline Website QualityAn Assessment Of Indonesian Charter Airline Website Quality
An Assessment Of Indonesian Charter Airline Website QualityKim Daniels
 
E com conversion prediction and optimisation
E com conversion prediction and optimisationE com conversion prediction and optimisation
E com conversion prediction and optimisationAlex Papageorgiou
 
A Practitioner’s Guide to Web Analytics: Designed for the B-to-B Marketer
A Practitioner’s Guide to Web Analytics: Designed for the B-to-B MarketerA Practitioner’s Guide to Web Analytics: Designed for the B-to-B Marketer
A Practitioner’s Guide to Web Analytics: Designed for the B-to-B Marketerskijumpman
 
Final presentation
Final presentationFinal presentation
Final presentationBrandon Hill
 
Why Choose Python for Scraping Booking.com Hotel Price Data.pptx
Why Choose Python for Scraping Booking.com Hotel Price Data.pptxWhy Choose Python for Scraping Booking.com Hotel Price Data.pptx
Why Choose Python for Scraping Booking.com Hotel Price Data.pptxTravel Scrape
 
Why Choose Python for Scraping Booking.com Hotel Price Data.pdf
Why Choose Python for Scraping Booking.com Hotel Price Data.pdfWhy Choose Python for Scraping Booking.com Hotel Price Data.pdf
Why Choose Python for Scraping Booking.com Hotel Price Data.pdfTravel Scrape
 
FINAL DISSERTATION_MARIA SIMAS_2016
FINAL DISSERTATION_MARIA SIMAS_2016FINAL DISSERTATION_MARIA SIMAS_2016
FINAL DISSERTATION_MARIA SIMAS_2016Maria Simas
 
Service Rating Prediction by check-in and check-out behavior of user and POI
Service Rating Prediction by check-in and check-out behavior of user and POIService Rating Prediction by check-in and check-out behavior of user and POI
Service Rating Prediction by check-in and check-out behavior of user and POIIRJET Journal
 
What makes consumers buy from internet
What makes consumers buy from internetWhat makes consumers buy from internet
What makes consumers buy from internetGiang Coffee
 
Online hotel booking application - Design Process
Online hotel booking application - Design ProcessOnline hotel booking application - Design Process
Online hotel booking application - Design Processchayapathi sarath
 
Internal SE on Automobile Website
Internal SE on Automobile WebsiteInternal SE on Automobile Website
Internal SE on Automobile Websitekoyarei
 
TOWARDS UNIVERSAL RATING OF ONLINE MULTIMEDIA CONTENT
TOWARDS UNIVERSAL RATING OF ONLINE MULTIMEDIA CONTENTTOWARDS UNIVERSAL RATING OF ONLINE MULTIMEDIA CONTENT
TOWARDS UNIVERSAL RATING OF ONLINE MULTIMEDIA CONTENTcscpconf
 
APPLICATION DESIGN USING AN INCREMENTAL DEVELOPMENT MODEL WITH AN OBJECT ORIE...
APPLICATION DESIGN USING AN INCREMENTAL DEVELOPMENT MODEL WITH AN OBJECT ORIE...APPLICATION DESIGN USING AN INCREMENTAL DEVELOPMENT MODEL WITH AN OBJECT ORIE...
APPLICATION DESIGN USING AN INCREMENTAL DEVELOPMENT MODEL WITH AN OBJECT ORIE...Chatrine Chatrine
 
Data Driven Design: Using Web Analytics to Improve Information Architectures
Data Driven Design: Using Web Analytics to Improve Information ArchitecturesData Driven Design: Using Web Analytics to Improve Information Architectures
Data Driven Design: Using Web Analytics to Improve Information ArchitecturesAndrea Wiggins
 

Similar to C:\Fakepath-420 Presentation (20)

Things to Consider for Improvement of Usability of E-Commerce in Context of B...
Things to Consider for Improvement of Usability of E-Commerce in Context of B...Things to Consider for Improvement of Usability of E-Commerce in Context of B...
Things to Consider for Improvement of Usability of E-Commerce in Context of B...
 
Study Of Portal Parameters In Real Estate
Study Of Portal Parameters In Real EstateStudy Of Portal Parameters In Real Estate
Study Of Portal Parameters In Real Estate
 
A Fuzzy Expert System for Assessing the InternetStores Based on Web Site Attr...
A Fuzzy Expert System for Assessing the InternetStores Based on Web Site Attr...A Fuzzy Expert System for Assessing the InternetStores Based on Web Site Attr...
A Fuzzy Expert System for Assessing the InternetStores Based on Web Site Attr...
 
An Assessment Of Indonesian Charter Airline Website Quality
An Assessment Of Indonesian Charter Airline Website QualityAn Assessment Of Indonesian Charter Airline Website Quality
An Assessment Of Indonesian Charter Airline Website Quality
 
An Assessment Of Indonesian Charter Airline Website Quality
An Assessment Of Indonesian Charter Airline Website QualityAn Assessment Of Indonesian Charter Airline Website Quality
An Assessment Of Indonesian Charter Airline Website Quality
 
E com conversion prediction and optimisation
E com conversion prediction and optimisationE com conversion prediction and optimisation
E com conversion prediction and optimisation
 
A Practitioner’s Guide to Web Analytics: Designed for the B-to-B Marketer
A Practitioner’s Guide to Web Analytics: Designed for the B-to-B MarketerA Practitioner’s Guide to Web Analytics: Designed for the B-to-B Marketer
A Practitioner’s Guide to Web Analytics: Designed for the B-to-B Marketer
 
Final presentation
Final presentationFinal presentation
Final presentation
 
Why Choose Python for Scraping Booking.com Hotel Price Data.pptx
Why Choose Python for Scraping Booking.com Hotel Price Data.pptxWhy Choose Python for Scraping Booking.com Hotel Price Data.pptx
Why Choose Python for Scraping Booking.com Hotel Price Data.pptx
 
Why Choose Python for Scraping Booking.com Hotel Price Data.pdf
Why Choose Python for Scraping Booking.com Hotel Price Data.pdfWhy Choose Python for Scraping Booking.com Hotel Price Data.pdf
Why Choose Python for Scraping Booking.com Hotel Price Data.pdf
 
FINAL DISSERTATION_MARIA SIMAS_2016
FINAL DISSERTATION_MARIA SIMAS_2016FINAL DISSERTATION_MARIA SIMAS_2016
FINAL DISSERTATION_MARIA SIMAS_2016
 
Service Rating Prediction by check-in and check-out behavior of user and POI
Service Rating Prediction by check-in and check-out behavior of user and POIService Rating Prediction by check-in and check-out behavior of user and POI
Service Rating Prediction by check-in and check-out behavior of user and POI
 
H018135054
H018135054H018135054
H018135054
 
What makes consumers buy from internet
What makes consumers buy from internetWhat makes consumers buy from internet
What makes consumers buy from internet
 
Online hotel booking application - Design Process
Online hotel booking application - Design ProcessOnline hotel booking application - Design Process
Online hotel booking application - Design Process
 
Internal SE on Automobile Website
Internal SE on Automobile WebsiteInternal SE on Automobile Website
Internal SE on Automobile Website
 
TOWARDS UNIVERSAL RATING OF ONLINE MULTIMEDIA CONTENT
TOWARDS UNIVERSAL RATING OF ONLINE MULTIMEDIA CONTENTTOWARDS UNIVERSAL RATING OF ONLINE MULTIMEDIA CONTENT
TOWARDS UNIVERSAL RATING OF ONLINE MULTIMEDIA CONTENT
 
E - COMMERCE
E - COMMERCEE - COMMERCE
E - COMMERCE
 
APPLICATION DESIGN USING AN INCREMENTAL DEVELOPMENT MODEL WITH AN OBJECT ORIE...
APPLICATION DESIGN USING AN INCREMENTAL DEVELOPMENT MODEL WITH AN OBJECT ORIE...APPLICATION DESIGN USING AN INCREMENTAL DEVELOPMENT MODEL WITH AN OBJECT ORIE...
APPLICATION DESIGN USING AN INCREMENTAL DEVELOPMENT MODEL WITH AN OBJECT ORIE...
 
Data Driven Design: Using Web Analytics to Improve Information Architectures
Data Driven Design: Using Web Analytics to Improve Information ArchitecturesData Driven Design: Using Web Analytics to Improve Information Architectures
Data Driven Design: Using Web Analytics to Improve Information Architectures
 

C:\Fakepath-420 Presentation

  • 1. A contrast analysis of online hotel web service purchasers and browsers Presenter: Hsin-Pei Pan Instructor: Dr. Pi-Ying Hsu Date: 2010/04/20
  • 2. Rong, J., Li, G., & Law, R. (2009). A contrast analysis of online hotel web service purchasers and browsers. International Journal of Hospitality Management, 28 , 466-478.
  • 3.
  • 4.
  • 5. Introduction Hotel website users (Law & Hsu, 2006) Browsers (lookers) Purchasers (buyers)
  • 6. Introduction Online purchasers of travel websites viewed quality information, purchase information and service/product information significantly more important than browsers. (Law & Bai, 2008)
  • 7. Introduction Segmentation refers to the process of forming groups of people that are homogenous in terms of demand elasticity and accessible via marketing strategies. (Brey, et al., 2007)
  • 8.
  • 9. Methodology Hong Kong International Airport Online purchasers 238 respondents Online browsers 66 respondents
  • 10. Methodology First section Demographic information Second section Perceived importance of specific dimensions and attributes of hotel websites. Third section Perceptions of the importance of these dimensions and attributes when they considered making online purchase of hotel rooms in different hotel categories. 7-point Likert Scale
  • 15.
  • 16. Reflection Detailed explanations of the methodology. Shows clear tables of the results .
  • 17.
  • 18. Thanks for your listening.