Yıl: 2020 Cilt: 8 Sayı: 1 Sayfa Aralığı: 177 - 202 Metin Dili: İngilizce DOI: : 10.30519/ahtr. 528150 İndeks Tarihi: 16-10-2020

WINNING THE BATTLE: THE IMPORTANCE OF PRICE AND ONLINE REVIEWS FOR HOTEL SELECTION

Öz:
Traditionally, price has been one of the main revenue managementlevers that allow hotels to sell the right product to the rightcustomer at the right time. Recent research in the area of electronicword-of-mouth has found that travelers’ online reviews may alsobe an influential factor affecting other customers’ bookingdecisions. However, it is challenging to determine the value ofonline reviews for customer decision making and to compare thisvalue to hotel room prices. Therefore, the main goal of this studyis to investigate which factors (room rate, online reviews’ ratingscore, or the number of reviews by other travelers) are moreimportant for customers’ booking decisions and the optimalcombination of these factors for booking a hotel. Conjoint analysiswas applied to measure the relative importance of theaforementioned factors for travelers’ booking decisions. Theresults revealed that the overall online rating was the mostinfluential factor with regard to customer decision making about booking a hotel. In addition, the following combination of factorswas discovered to be optimal for attracting customer reservations:more than 107 reviews with an average rating of at least 3.3 (on a5-point scale), and a price level of $130 or below.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • Anderson, C. (2012). The impact of social media on lodging performance. Cornell Hospitality Report, 12(15), 6–11.
  • Ayeh, J. K., Au, N., & Law, R. (2013). “Do we believe in TripAdvisor?” Examining credibility perceptions and online travelers’ attitude toward using user-generated content. Journal of Travel Research, 52(4), 437-452. https://doi.org/10.1177/0047287512475217
  • Baka, V. (2016). The becoming of user-generated reviews: Looking at the past to understand the future of managing reputation in the travel sector. Tourism Management, 53, 148–162. https://doi.org/10.1016/j.tourman.2015.09.004
  • Baker, A. M., Donthu, N., & Kumar, V. (2016). Investigating how word-of-mouth conversations about brands influence purchase and retransmission intentions. Journal of Marketing Research, 53(2), 225–239. https://doi.org/10.1509/jmr.14.0099
  • Berezina, K., Bilgihan, A., Cobanoglu, C., & Okumus, F. (2016). Understanding satisfied and dissatisfied hotel customers: text mining of online hotel reviews. Journal of Hospitality Marketing & Management, 25(1), 1–24. https://doi.org/10.1080/19368623.2015.983631
  • Blal, I., & Sturman, M. C. (2014). The differential effects of the quality and quantity of online reviews on hotel room sales. Cornell Hospitality Quarterly, 55(4), 365–375. https://doi.org/10.1177/1938965514533419
  • Book, L. A., Tanford, S., & Chen, Y.-S. (2015). Understanding the impact of negative and positive traveler reviews social influence and price anchoring effects. Journal of Travel Research,55(8), 993-1007. https://doi.org/10.1177/0047287515606810
  • Book, L. A., Tanford, S., Montgomery, R., & Love, C. (2015). Online traveler reviews as social influence price is no longer king. Journal of Hospitality & Tourism Research, 42(3), 445 - 475. https://doi.org/10.1177/1096348015597029
  • Brown, J., Broderick, A. J., & Lee, N. (2007). Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing, 21(3), 2–20. https://doi.org/10.1002/dir.20082
  • Cheung, C. M. K., & Thadani, D. R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54(1), 461–470. https://doi.org/10.1016/j.dss.2012.06.008
  • Chu, S. C., Lien, C. H., & Cao, Y. (2018). Electronic word-of-mouth (eWOM) on WeChat: Examining the influence of sense of belonging, need for self-enhancement, and consumer engagement on Chinese travellers’ eWOM. International Journal of Advertising, 23(2), 1-24. https://doi.org/10.1080/02650487.2018.1470917
  • De Pelsmacker, P., van Tilburg, S., & Holthof, C. (2018). Digital marketing strategies, online reviews and hotel performance. International Journal of Hospitality Management, 72, 47-55. https://doi.org/10.1016/j.ijhm.2018.01.003
  • Duverger, P. (2013). Curvilinear effects of user-generated content on hotels’ market share a dynamic panel-data analysis. Journal of Travel Research, 52(4), 465–478. https://doi.org/10.1177/0047287513478498
  • Fader, P. S., & Winer, R. S. (2012). Introduction to the special issue on the emergence and impact of user-generated content. Marketing Science, 31(3), 369-547. https://doi.org/10.1287/mksc.1120.0715
  • Filieri, R., & McLeay, F. (2014). E-WOM and accommodation an analysis of the factors that influence travelers’ adoption of information from online reviews. Journal of Travel Research, 53(1), 44–57. https://doi.org/10.1177/0047287513481274
  • Fotis, J., Buhalis, D., & Rossides, N. (2012). Social media use and impact during the holiday travel planning process. In P. M. Fuchs, P. F. Ricci, & P. L. Cantoni (Eds.), Information and communication technologies in tourism 2012 (pp. 13–24). Vienna, Austria: Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-3- 7091-1142-0_2
  • Gavilan, D., Avello, M., & Martinez-Navarro, G. (2018). The influence of online ratings and reviews on hotel booking consideration. Tourism Management, 66, 53-61. https://doi.org/10.1016/j.tourman.2017.10.018
  • Goodman, J. K., Cryder, C. E., & Cheema, A. (2013). Data collection in a flat world: The strengths and weaknesses of Mechanical Turk samples. Journal of Behavioral Decision Making, 26(3), 213–224. https://doi.org/10.1002/bdm.1753
  • Gregory, A. M. (2011). Assessment of product and service attributes and consumers’ willingness to pay in the vacation ownership industry using the Kano Model and conjoint analysis. Unpublished doctoral dissertation, University of Central Florida, Orlando, FL. Retrieved from https://stars.library.ucf.edu/etd/1931/
  • Gregory, A. M. (2013). Examining the impact of negative attributes on consumer preference and willingness to pay in the vacation ownership industry: A conjoint analysis. Journal of Tourism Research & Hospitality, 2(3), 1–5. https://doi.org/10.4172/2324- 8807.1000120
  • Guillet, B. D., Guo, Y., & Law, R. (2015). Segmenting hotel customers based on rate fences through conjoint and cluster analysis. Journal of Travel & Tourism Marketing, 32(7), 835–851. https://doi.org/10.1080/10548408.2015.1063825
  • Guillet, B. D., Law, R., & Xiao, Q. (2013). Rate fences in hotel revenue management and their applications to Chinese leisure travelers a fractional factorial design approach. Cornell Hospitality Quarterly, 55(2), 186-196. https://doi.org/10.1177/1938965513507497
  • Guillet, B. D., Liu, W., & Law, R. (2014). Can setting hotel rate restrictions help balance the interest of hotels and customers? International Journal of Contemporary Hospitality Management, 26(6), 948-973. https://doi.org/10.1108/IJCHM-01-2013-0020
  • Gursoy, D. (2019). A critical review of determinants of information search behavior and utilization of online reviews in decision making process (invited paper for ‘luminaries’ special issue of International Journal of Hospitality Management). International Journal of Hospitality Management, 76, 53-60.
  • Gursoy, D., Del Chiappa, G., & Zhang, Y. (2017). Preferences regarding external information sources: A conjoint analysis of visitors to Sardinia, Italy. Journal of Travel & Tourism Marketing, 34(6), 806-820.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
  • HotelNewsNow. (2019). STR: US hotels post another record year in 2018. Retrieved June 04, 2020, from http://www.hotelnewsnow.com/Articles/292373/STR-US-hotels-postanother-record-year-in-2018
  • Hu, N., Koh, N. S., & Reddy, S. K. (2014). Ratings lead you to the product, reviews help you clinch it? The mediating role of online review sentiments on product sales. Decision Support Systems, 57, 42–53. https://doi.org/10.1016/j.dss.2013.07.009
  • Huber, J. (1997). What we have learned from 20 years of conjoint research: When to use selfexplicated, graded pairs, full profiles or choice experiments. Retrieved June 04, 2020, from https://www.sawtoothsoftware.com/download/techpap/whatlrnd.pdf
  • Jalilvand, M. R., Esfahani, S. S., & Samiei, N. (2011). Electronic word-of-mouth: Challenges and opportunities. Procedia Computer Science, 3, 42–46. https://doi.org/10.1016/j.procs.2010.12.008
  • Jeong, M., & Jeon, M. M. (2008). Customer reviews of hotel experiences through consumer generated media (CGM). Journal of Hospitality & Leisure Marketing, 17(1-2), 121-138.
  • Kimes, S. E. (2000). Revenue management on the links: Applying yield management to the golf-course industry. Cornell Hotel and Restaurant Administration Quarterly, 41(1), 120-127.
  • Lee, J., Park, D.-H., & Han, I. (2008). The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications, 7(3), 341–352. https://doi.org/10.1016/j.elerap.2007.05.004
  • Lee, S. H. (2016). How hotel managers decide to discount room rates: A conjoint analysis. International Journal of Hospitality Management, 52, 68–77. https://doi.org/10.1016/j.ijhm.2015.09.014
  • Leong, L. Y., Hew, T. S., Ooi, K. B., & Lin, B. (2017). Do electronic word-of-mouth and elaboration likelihood model influence hotel booking? Journal of Computer Information Systems, 28(3), 1-15. doi.org/10.1080/08874417.2017.1320953
  • Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29(3), 458–468. https://doi.org/10.1016/j.tourman.2007.05.011
  • Lu, W., & Stepchenkova, S. (2014). User-generated content as a research mode in tourism and hospitality applications: Topics, methods, and software. Journal of Hospitality Marketing & Management 24(2), 119-154. https://doi.org/10.1080/19368623.2014.907758
  • Mariani, M. M., & Borghi, M. (2018). Effects of the Booking.com rating system: Bringing hotel class into the picture. Tourism Management, 66, 47-52.
  • Mauri, A. G. & Minazzi, R. (2013). Web reviews influence on expectations and purchasing intentions of hotel potential customers. International Journal of Hospitality Management, 34, 99–107. https://doi.org/10.1016/j.ijhm.2013.02.012
  • Millar, M., & Baloglu, S. (2011). Hotel guests’ preferences for green guest room attributes. Cornell Hospitality Quarterly, 52(3), 302–311. https://doi.org/10.1177/1938965511409031
  • MMGY. (2019). Portrait of American travelers. Retrieved June 04, 2020, from https://www.mmgy.com/services/research-data/portrait-of-american-travelers/
  • Neirotti, P., Raguseo, E., & Paolucci, E. (2016). Are customers’ reviews creating value in the hospitality industry? Exploring the moderating effects of market positioning. International Journal of Information Management, 36(6), 1133-1143. https://doi.org/10.1016/j.ijinfomgt.2016.02.010
  • Netzer, O., Toubia, O., Bradlow, E. T., Dahan, E., Evgeniou, T., Feinberg, F. M., et al. (2008). Beyond conjoint analysis: Advances in preference measurement. Marketing Letters, 19(3–4), 337–354. https://doi.org/10.1007/s11002-008-9046-1
  • Nieto-García, M., Muñoz-Gallego, P. A., & González-Benito, Ó. (2017). Tourists’ willingness to pay for an accommodation: The effect of eWOM and internal reference price. International Journal of Hospitality Management, 62, 67-77. https://doi.org/10.1016/j.ijhm.2016.12.006
  • Noone, B. M., & McGuire, K. A. (2013a). Pricing in a social world: The influence of nonprice information on hotel choice. Journal of Revenue & Pricing Management, 12(5), 385–401. https://doi.org/10.1057/rpm.2013.13
  • Noone, B. M., & McGuire, K. A. (2013b). Effects of price and user-generated content on consumers’ prepurchase evaluations of variably priced services. Journal of Hospitality & Tourism Research, 38(4), 562-581. https://doi.org/10.1177/1096348012461551
  • Noone, B. M., McGuire, K. A., & Rohlfs, K. V. (2011). Social media meets hotel revenue management: Opportunities, issues and unanswered questions. Journal of Revenue and Pricing Management, 10(4), 293–305. https://doi.org/10.1057/rpm.2011.12
  • Orme, B. (2010). Getting started with conjoint analysis: Strategies for product design and pricing research (2nd ed.). Madison, WI: Research Publishers LLC.
  • Öğüt, H., & Taş, B. K. O. (2012). The influence of internet customer reviews on the online sales and prices in hotel industry. The Service Industries Journal, 32(2), 197–214. https://doi.org/10.1080/02642069.2010.529436
  • Park, C., & Lee, T. M. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research, 62(1), 61–67. https://doi.org/10.1016/j.jbusres.2007.11.017
  • Racherla, P., Connolly, D. J., & Christodoulidou, N. (2013). What determines consumers’ ratings of service providers? An exploratory study of online traveler reviews. Journal of Hospitality Marketing & Management, 22(2), 135-161.
  • Repetti, T., Roe, S., & Gregory, A. (2015). Pricing strategies for resort fees: Consumer preferences favor simplicity. International Journal of Contemporary Hospitality Management, 27(5), 790-809. https://doi.org/10.1108/IJCHM-06-2013-0237
  • Schuckert, M., Liu, X., & Law, R. (2015). Stars, votes, and badges: How online badges affect hotel reviewers. Journal of Travel & Tourism Marketing, 33(4), 440-452. https://doi.org/10.1080/10548408.2015.1064056
  • Sparks, B. A., & Browning, V. (2011). The impact of online reviews on hotel booking intentions and perception of trust. Tourism Management, 32(6), 1310–1323. https://doi.org/10.1016/j.tourman.2010.12.011
  • Tanford, S., & Montgomery, R. (2015). The effects of social influence and cognitive dissonance on travel purchase decisions. Journal of Travel Research, 54(5), 596–610. https://doi.org/10.1177/0047287514528287
  • Torres, E. N., Adler, H., Lehto, X., Behnke, C., & Li, M. (2013). One experience and multiple reviews: The case of upscale US hotels. Tourism Review, 68(3), 3–20. https://doi.org/10.1108/TR-03-2013-0012
  • Torres, E. N., Singh, D., & Robertson-Ring, A. (2015). Consumer reviews and the creation of booking transaction value: Lessons from the hotel industry. International Journal of Hospitality Management, 50, 77–83. https://doi.org/10.1016/j.ijhm.2015.07.012
  • Van der Rest, J. P. I., Cordella, P., Loosschilder, G., & Schwartz, Z. (2016). Connecting search marketing to revenue management: Conjoint analysis as a methodology to evaluate the optimal OTA commission fee. Service Science, 8(2), 1–15. https://doi.org/10.1287/serv.2016.0137
  • Viglia, G., Minazzi, R., & Buhalis, D. (2016) The influence of e-word-of-mouth on hotel occupancy rate. International Journal of Contemporary Hospitality Management, 28(9), 2035-2051. https://doi.org/10.1108/IJCHM-05-2015-0238
  • Westbrook, R. A. (1987). Product/consumption-based affective responses and postpurchase processes. Journal of Marketing Research, 24(3), 258-270.
  • Wilson, A., Murphy, H., & Fierro, J. C. (2012). Hospitality and travel the nature and implications of user-generated content. Cornell Hospitality Quarterly, 53(3), 220–228. https://doi.org/10.1177/1938965512449317
  • Wong, D. K. K. F., & Chi-Yung, L. (2002). Predicting hotel choice decisions and segmenting hotel consumers: A comparative assessment of a recent consumer based approach. Journal of Travel & Tourism Marketing, 11(1), 17–33. https://doi.org/10.1300/J073v11n01_02
  • Ye, Q., Law, R., & Gu, B. (2009). The impact of online user reviews on hotel room sales. International Journal of Hospitality Management, 28(1), 180–182. https://doi.org/10.1016/j.ijhm.2008.06.011
  • Ye, Q., Law, R., Gu, B., & Chen, W. (2011). The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings. Computers in Human Behavior, 27(2), 634–639. https://doi.org/10.1016/j.chb.2010.04.014
  • Zhang, X., Yu, Y., Li, H., & Lin, Z. (2016). Sentimental interplay between structured and unstructured user-generated contents. Online Information Review, 40(1), 119-145. https://doi.org/10.1108/OIR-04-2015-0101
  • Zhao, X. (Roy), Wang, L., Guo, X., & Law, R. (2015). The influence of online reviews to online hotel booking intentions. International Journal of Contemporary Hospitality Management, 27(6), 1343–1364. https://doi.org/10.1108/IJCHM-12-2013-0542
APA Ciftci O, Berezina K, Cavusoglu M (2020). WINNING THE BATTLE: THE IMPORTANCE OF PRICE AND ONLINE REVIEWS FOR HOTEL SELECTION. , 177 - 202. : 10.30519/ahtr. 528150
Chicago Ciftci Olena,Berezina Katerina,Cavusoglu Muhittin WINNING THE BATTLE: THE IMPORTANCE OF PRICE AND ONLINE REVIEWS FOR HOTEL SELECTION. (2020): 177 - 202. : 10.30519/ahtr. 528150
MLA Ciftci Olena,Berezina Katerina,Cavusoglu Muhittin WINNING THE BATTLE: THE IMPORTANCE OF PRICE AND ONLINE REVIEWS FOR HOTEL SELECTION. , 2020, ss.177 - 202. : 10.30519/ahtr. 528150
AMA Ciftci O,Berezina K,Cavusoglu M WINNING THE BATTLE: THE IMPORTANCE OF PRICE AND ONLINE REVIEWS FOR HOTEL SELECTION. . 2020; 177 - 202. : 10.30519/ahtr. 528150
Vancouver Ciftci O,Berezina K,Cavusoglu M WINNING THE BATTLE: THE IMPORTANCE OF PRICE AND ONLINE REVIEWS FOR HOTEL SELECTION. . 2020; 177 - 202. : 10.30519/ahtr. 528150
IEEE Ciftci O,Berezina K,Cavusoglu M "WINNING THE BATTLE: THE IMPORTANCE OF PRICE AND ONLINE REVIEWS FOR HOTEL SELECTION." , ss.177 - 202, 2020. : 10.30519/ahtr. 528150
ISNAD Ciftci, Olena vd. "WINNING THE BATTLE: THE IMPORTANCE OF PRICE AND ONLINE REVIEWS FOR HOTEL SELECTION". (2020), 177-202. https://doi.org/: 10.30519/ahtr. 528150
APA Ciftci O, Berezina K, Cavusoglu M (2020). WINNING THE BATTLE: THE IMPORTANCE OF PRICE AND ONLINE REVIEWS FOR HOTEL SELECTION. Advances in Hospitality and Tourism Research (AHTR), 8(1), 177 - 202. : 10.30519/ahtr. 528150
Chicago Ciftci Olena,Berezina Katerina,Cavusoglu Muhittin WINNING THE BATTLE: THE IMPORTANCE OF PRICE AND ONLINE REVIEWS FOR HOTEL SELECTION. Advances in Hospitality and Tourism Research (AHTR) 8, no.1 (2020): 177 - 202. : 10.30519/ahtr. 528150
MLA Ciftci Olena,Berezina Katerina,Cavusoglu Muhittin WINNING THE BATTLE: THE IMPORTANCE OF PRICE AND ONLINE REVIEWS FOR HOTEL SELECTION. Advances in Hospitality and Tourism Research (AHTR), vol.8, no.1, 2020, ss.177 - 202. : 10.30519/ahtr. 528150
AMA Ciftci O,Berezina K,Cavusoglu M WINNING THE BATTLE: THE IMPORTANCE OF PRICE AND ONLINE REVIEWS FOR HOTEL SELECTION. Advances in Hospitality and Tourism Research (AHTR). 2020; 8(1): 177 - 202. : 10.30519/ahtr. 528150
Vancouver Ciftci O,Berezina K,Cavusoglu M WINNING THE BATTLE: THE IMPORTANCE OF PRICE AND ONLINE REVIEWS FOR HOTEL SELECTION. Advances in Hospitality and Tourism Research (AHTR). 2020; 8(1): 177 - 202. : 10.30519/ahtr. 528150
IEEE Ciftci O,Berezina K,Cavusoglu M "WINNING THE BATTLE: THE IMPORTANCE OF PRICE AND ONLINE REVIEWS FOR HOTEL SELECTION." Advances in Hospitality and Tourism Research (AHTR), 8, ss.177 - 202, 2020. : 10.30519/ahtr. 528150
ISNAD Ciftci, Olena vd. "WINNING THE BATTLE: THE IMPORTANCE OF PRICE AND ONLINE REVIEWS FOR HOTEL SELECTION". Advances in Hospitality and Tourism Research (AHTR) 8/1 (2020), 177-202. https://doi.org/: 10.30519/ahtr. 528150