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Exaggeration in fake vs authentic online reviews for luxury and budget hotels

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Exaggeration in fake vs authentic online reviews for luxury and budget hotels

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This presentation slide cover the methodology of a research paper. Here you can get the idea about which elements should we include in a research methods.

This presentation slide cover the methodology of a research paper. Here you can get the idea about which elements should we include in a research methods.

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Exaggeration in fake vs authentic online reviews for luxury and budget hotels

  1. 1. By Group: 05 Exaggeration in fake vs authentic online reviews for luxury and budget hotels *****
  2. 2. Our team Jahid Khan Rahat ID: 2123021047 Md. Munirruzzaman ID: 2123021043 Md. Muzammel Haque ID: 2123021041 Mehedi Hanan ID: 2123021008 Md. Asifur Rahaman ID: 21230210263 Shahjalal Mia ID: 2123021049
  3. 3. Research Design  It can answer the research questons & control the variance  A Research Design is simply a structural framework /Blue print / Plan of various research methods as well as techniques that are utilized by a researcher. Md. Muzammel Haque ID: 2123021041
  4. 4. Research Design Md. Muzammel Haque ID: 2123021041
  5. 5. Research Design type = Exploratory  Research process is flexible & unstructured  Sample is small & non- representive  Analysis of primary data is qualitative  Findings are tentative  Research methods are informal Md. Muzammel Haque ID: 2123021041
  6. 6. Research Design  Developed & examined a research model  Factor analysis was adopted & Regression analysis  This study also offered areas worthy of more research efforts from perspectives of practitioners & researchers Md. Muzammel Haque ID: 2123021041
  7. 7. Research Design  Practical implications: to find out the ways of increasing consumers’ booking intentions in the specific hotel contexts.  A major theoretical contribution of this paper is its comprehensiveness in examining features of review content as well as its source simultaneously.  online reviews as a marketing tool Md. Muzammel Haque ID: 2123021041
  8. 8. Elements of Research Design The method applied for analyzing collected details Type of research methodology Accurate purpose statement Probable objections for research Techniques to be implemented for collecting and analyzing research Timeline Measurement of analysis Settings for the research study Md. Muzammel Haque ID: 2123021041
  9. 9. 2 6 3 5 4 Six 6 features of online reviews content usefulness reviewer expertise Comprehensiveness interrelationships among features of online reviews timeliness Valence (negative and positive) volume Findings 6 content + 1 source Md. Muzammel Haque ID: 2123021041
  10. 10. Data Sources Primary data Secondary data Mehedi Hanan ID: 2123021008
  11. 11. Secondary Data Data Collection platforms: Agoda.com, Expedia.com, and Hotels.com. Data collection period- six months Participants-134 Mehedi Hanan ID: 2123021008
  12. 12. A Sampling plan is a detailed outline of which measurements will be taken at what times, which materials, in what manner, and by whom. Sample planning Md. Asifur Rahaman ID: 21230210263
  13. 13. Sample selection process 1. Identify the Target population: five popular Asian destinations— ● Bangkok, ● Hong Kong, ● Kuala Lumpur, ● Singapore, and ● Tokyo. 1. Select a sampling frame: Authentic reviews of three online platforms: ● Agoda.com, ● Expedia.com, and ● Hotels.com Reviews are posted only by bona fide travelers who had paid and actually stayed in a given hotel. Md. Asifur Rahaman ID: 21230210263
  14. 14. Sample selection process 3. Specify the sampling technique: Used snowballing sample selection technique- Set eligibility criteria to select samples. here ● Regular readers or contributors on review websites. ● Must have had travel experience within the last year. ● The study disseminated ○ offline and ○ online word-of-mouth. Snowballing sample selection technique Md. Asifur Rahaman ID: 21230210263
  15. 15. Sample selection process 4. Determine the sample size: Selection from each country ● 10 hotels (5 luxury + 5 budget). ● For each hotel, 40 entries (20 positive + 20 negative) 400 authentic reviews uniformly distributed across ● Hotel category—luxury and budget—and ● Review polarity—positive and negative. Md. Asifur Rahaman ID: 21230210263
  16. 16. Sample selection process 5. Execute the sampling plan: ● Collect data for six months ● 134 participants ○ aged 21–25 years: 40, ○ aged 26–35 years: 64, ○ aged 36–45 years: 30; ○ educational background: minimally undergraduate students; ○ gender: 63 females, 71 males Md. Asifur Rahaman ID: 21230210263
  17. 17. Reviews acknowledged criteria  English comprising meaningful titles  Latter being at least 150 characters in length  Reviews must have been posted as recently Jahid Khan Rahat ID: 2123021047
  18. 18. Software  SPSS  Typeform Tool  Table  Line chart Data analysis tool Jahid Khan Rahat ID: 2123021047
  19. 19. 40 309 45 6  50% luxury and 50% budget  Required 6 months to collect data  ANOVA is calculated as sample size is above 30  Critical value calculated form t table Reviews collection criteria  Hypothesis evaluate based on P and F value Jahid Khan Rahat ID: 2123021047
  20. 20. Measurement Treated as negative Treated as Positive
  21. 21. Dataset Luxury Positive Fake Authentic Negative Fake Authentic Budget Positive Fake Authentic Negative Fake Authentic Sample reviews in the dataset Jahid Khan Rahat ID: 2123021047
  22. 22. Review analysis  Adjectives (e.g., awesome, awful) Shahjalal Mia ID: 2123021049  Adverbs (e.g., beautifully, horribly)  Nouns (e.g., hotel, room)  Verbs (e.g., visited, stayed)
  23. 23. Descriptive Statistical Analysis Shahjalal Mia ID: 2123021049
  24. 24. Presentation Shahjalal Mia ID: 2123021049
  25. 25. Discussion Four key findings of the paper First, with a finer-grained conceptualization of exaggeration in reviews compared with previous works Second, this paper found that the contextual idiosyncrasy created by crossing hotel category Third, the paper empirically confirms that individuals Fourth, the paper found that humans strengthen their online information processing vigilance under disconfirmatory contexts. Md. Munirruzzaman ID: 2123021043
  26. 26. Theoretical contributions Exaggeration should be measured in not only descriptions but also titles of reviews. This paper busts the myth that fake reviews are always more exaggerated than authentic ones. Finally, the paper contributes to the online review literature by looking into both review writers and review readers in conjunction. Md. Munirruzzaman ID: 2123021043
  27. 27. Limitations and further research direction The paper should be viewed in light of a few limitations that future research should address Md. Munirruzzaman ID: 2123021043

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