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Original Articles

Identifying salient attributes of peer-to-peer accommodation experience

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Pages 636-652 | Received 28 Jan 2016, Accepted 28 Jun 2016, Published online: 10 Aug 2016

References

  • Airbnb. (2015a). Airbnb summer travel report: 2015. Retrieved from http://blog.airbnb.com/wp-content/uploads/2015/09/Airbnb-Summer-Travel-Report-1.pdf
  • Airbnb. (2015b). Airbnb Economic Impact. http://blog.airbnb.com/economic-impact-airbnb/
  • Albayrak, T., & Caber, M. (2015). Prioritisation of the hotel attributes according to their influence on satisfaction: A comparison of two techniques. Tourism Management, 46, 43–50. doi:10.1016/j.tourman.2014.06.009
  • Alpert, M. I. (1971). Identification of determinant attributes: A comparison of methods. Journal of Marketing Research, 8, 184–191. doi:10.2307/3149759
  • Ananth, M., DeMicco, F. J., Moreo, P. J., & Howey, R. M. (1992). Marketplace lodging needs of mature travelers. Cornell Hotel and Restaurant Administration Quarterly, 33(4), 12–24. doi:10.1177/001088049203300403
  • Atkinson, A. (1988). Answering the eternal question: What does the customer want? The Cornell Hotel and Restaurant Administration Quarterly, 29(2), 12–14. doi:10.1177/001088048802900209
  • Belk, R. (2014). You are what you can access: Sharing and collaborative consumption online. Journal of Business Research, 67(8), 1595–1600. doi:10.1016/j.jbusres.2013.10.001
  • Bitner, M. J. (1990). Evaluating service encounters: The effects of physical surroundings and employee responses. Journal of Marketing, 54, 69–82. doi:10.2307/1251871
  • Botsman, R., & Rogers, R. (2011). What’s mine is yours: The rise of collaborative consumption. New York, NY: Harper Business.
  • CB Insights. (2015). Why that crazy-high AirBnB valuation is fair. Retrieved from https://www.cbinsights.com/blog/airbnb-hospitality-industry-valuation-breakdown/
  • Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 56(4), 1165–1188.
  • Choi, T. Y., & Chu, R. (2001). Determinants of hotel guests’ satisfaction and repeat patronage in the Hong Kong hotel industry. International Journal of Hospitality Management, 20, 277–297. doi:10.1016/S0278-4319(01)00006-8
  • Clow, K. E., Garretson, J. A., & Kurtz, D. L. (1994). An exploratory study into the purchase 19 decision process used by leisure travellers in hotel selection. Journal of Hospitality and Leisure Marketing, 4, 53–71.
  • Creative Commons. (n.d.). CC0 1.0 Universal (CC0 1.0). Public Domain Dedication. Retrieved from https://creativecommons.org/publicdomain/zero/1.0/
  • Dolnicar, S., & Otter, T. (2003). Which hotel attributes matter? A review of previous and a framework for future research. In T. Griffn & R. Harris (Eds.), Proceedings of the 9th annual conference of the Asia Pacific Tourism Association (APTA) (Vol. 1, pp. 176–188). Ultimo: University of Technology Sydney.
  • Dörre, J., Gerstl, P., & Seiffert, R. (1999). Text mining: Finding nuggets in mountains of textual data. In Proceedings of the 5th ACM International Conference on Knowledge Discovery and Data Mining (KDD-99), 398–401, San Diego, US. ACM Press, New York, US.
  • Dubé, L., & Renaghan, L. M. (1999). Building customer loyalty: Guests' perspectives on the lodging industry’s functional best practices (Part I). The Cornell Hotel and Restaurant Administration Quarterly, 40(5), 78–88.
  • Felix, D., Broad, S., & Griffiths, M. (2008). The bed-and-breakfast experience: An analysis of hosts’ and guests’ expectations. In V. Jauhari (Ed.), Global cases on hospitality industry (pp. 55–77). New York, NY: Routledge.
  • Freitag, J. D., & Haywood, J. (2015). Digging to the core of Airbnb Big Apple data. Retrieved from http://www.hotelnewsnow.com/Article/16395/Digging-to-the-core-of-Airbnbs-Big-Apple-data
  • Fruchterman, T. M. J., & Reingold, E. M. (1991). Graph drawing by force-directed placement. Software: Practice and Experience, 21(11), 1129–1164. doi:10.1002/(ISSN)1097-024X
  • Fuchs, M., Höpken, W., & Lexhagen, M. (2014). Big data analytics for knowledge generation in tourism destinations – A case from Sweden. Journal of Destination Marketing & Management, 3(4), 198–209. doi:10.1016/j.jdmm.2014.08.002
  • Gonen, Y., & Sutherland, A. (2015). Most Airbnb rentals violate the state’s short-term leasing law. New York Post. Retrieved from http://nypost.com/2015/12/02/most-airbnb-rentals-violate-the-states-short-term-leasing-law/
  • Guttentag, D. (2015). Airbnb: Disruptive innovation and the rise of an informal tourism accommodation sector. Current Issues in Tourism, 18(12), 1192–1217. doi:10.1080/13683500.2013.827159
  • Higuchi, K. (2015). KH Coder 2.x Reference Manual. Retrieved from http://khc.sourceforge.net/en/manual_en_v2.pdf
  • Inside Airbnb. (2015). Get the Data. Retrieved from http://insideairbnb.com/get-the-data.html
  • Karlsson, L., & Dolnicar, S. (2016). Someone’s been sleeping in my bed. Annals of Tourism Research, 58, 159–162. doi:10.1016/j.annals.2016.02.006
  • Kim, S. (2016). Berlin bans thousands of Airbnb properties. The Telegraph. Retrieved from http://www.telegraph.co.uk/travel/destinations/europe/germany/berlin/articles/airbnb-listings-plummet-in-berlin-as-ban-comes-into-force/
  • Knutson, B. (1988). Frequent travelers: Making them happy and bringing them back. The Cornell Hotel and Restaurant Administration Quarterly, 29(1), 82–87. doi:10.1177/001088048802900121
  • Korkontzelos, I., Klapaftis, I. P., & Manandhar, S. (2008). Reviewing and evaluating automatic term recognition techniques. In B. Nordstrom & A. Ranta (Eds.), Advances in natural language processing (pp. 248–259). Berlin – Heidelberg: Springer.
  • Li, G., Law, R., Vu, H. Q., & Rong, J. (2013). Discovering the hotel selection preferences of Hong Kong inbound travelers using the choquet integral. Tourism Management, 36, 321–330. doi:10.1016/j.tourman.2012.10.017
  • Lipsman, A. (2007). Online consumer-generated reviews have significant impact on offline purchase behavior. comScore. Retrieved from http://www.comscore.com/Insights/Press-Releases/2007/11/Online-Consumer-Reviews-Impact-Offline-Purchasing-Behavior
  • Lockyer, T. (2004). Weekend accommodation - The challenge: What are the guests looking for? Journal of Hospitality and Tourism Management, 11(1), 1–12.
  • Lockyer, T. (2005). The perceived importance of price as one hotel selection dimension. Tourism Management, 26(4), 529–537. doi:10.1016/j.tourman.2004.03.009
  • Mattila, A. (1999). Consumer’s value judgments: How business travelers as evaluate luxury-hotel services. The Cornell Hotel and Restaurant Administration Quarterly, 40, 40–46. doi:10.1177/001088049904000121
  • Möhlmann, M. (2015). Collaborative consumption: Determinants of satisfaction and the likelihood of using a sharing economy option again. Journal of Consumer Behaviour, 14, 193–207. doi:10.1002/cb.1512
  • Nakagawa, H. (2000). Automatic term recognition based on statistics of compound nouns. Terminology, 6(2), 195–210.
  • Nakagawa, H., & Mori, T. (2002). A simple but powerful automatic term extraction method. In Proceedings of the Second International Workshop on Computational Terminology (COMPUTERM 2002). Stroudsburg, PA: Association of Computational Linguistics.
  • Pons, P., & Latapy, M. (2005). Computing communities in large networks using random walks. Retrieved from http://arxiv.org/pdf/physics/0512106v1.pdf.
  • Ramanathan, U., & Ramanathan, R. (2011). Guests’ perceptions on factors influencing customer loyalty: An analysis for UK hotels. International Journal of Contemporary Hospitality Management, 23(1), 7–25. doi:10.1108/09596111111101643
  • Rivers, M. J., Toh, R. S., & Alaoui, M. (1991). Frequent-stayer programs: The demographic, behavioral, and attitudinal characteristics of hotel steady sleepers. Journal of Travel Research, 30(2), 41–45. doi:10.1177/004728759103000209
  • Saleh, F., & Ryan, C. (1992). Client perceptions of hotels: A multi-attribute approach. Tourism Management, 13(2), 163–168. doi:10.1016/0261-5177(92)90058-F
  • Scarinci, J., & Richins, H. (2008). Specialist lodging in the USA: Motivations of bed and breakfast accommodation guests. Tourism: An International Interdisciplinary Journal, 56(3), 271–282.
  • Shergill, G. S., & Sun, W. (2004). Tourists’ perceptions towards hotel services in New Zealand. International Journal of Hospitality & Tourism Administration, 5(4), 1–29. doi:10.1300/J149v05n04_01
  • Stringam, B. B., Gerdes, J., & Vanleeuwen, D. M. (2010). Assessing the importance and relationships of ratings on user-generated traveler reviews. Journal of Quality Assurance in Hospitality & Tourism, 11(2), 73–92. doi:10.1080/1528008X.2010.482000
  • The City of Portland. (2015). Accessory short term rental permits. Development Services: Permits. Retrieved from http://www.portlandoregon.gov/bds/65603.
  • Toutanova, K., Klein, D., Manning, C., & Singer, Y. (2003). Feature-rich part-of-speech tagging with a cyclic dependency network. In Proceedings of HLT-NAACL 2003 (pp. 252–259). Stroudsburg, PA: Association for Computational Linguistics.
  • Tsao, W.-C., Hsieh, M.-T., Shih, L.-W., & Lin, T. M. Y. (2015). Compliance with eWOM: The influence of hotel reviews on booking intention from the perspective of consumer conformity. International Journal of Hospitality Management, 46, 99–111. doi:10.1016/j.ijhm.2015.01.008
  • Tussyadiah, I. P. (2015). An exploratory study on drivers and deterrents of collaborative consumption in travel. In I. Tussyadiah & A. Inversini (Eds.), Information & Communication Technologies in Tourism 2015 (pp. 819–832). Switzerland: Springer.
  • Tussyadiah, I. P. (2016). Factors of satisfaction and intention to use peer-to-peer accommodation. International Journal of Hospitality Management, 55, 70–80. doi:10.1016/j.ijhm.2016.03.005
  • Tussyadiah, I. P., & Pesonen, J. (2015). Impacts of peer-to-peer accommodation use on travel patterns. Journal of Travel Research. doi:10.1177/0047287515608505
  • Ward, J. H. Jr. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58, 236–244. doi:10.1080/01621459.1963.10500845
  • Westbrook, R. A. (1987). Product/consumption-based affective responses and post-purchase processes. Journal of Marketing Research, 24(3), 258–270. doi:10.2307/3151636
  • Wilkins, H., Merrilees, B., & Herington, C. (2007). Towards an understanding of total service quality in hotels. International Journal of Hospitality Management, 26, 840–853. doi:10.1016/j.ijhm.2006.07.006
  • Xiang, Z., Schwartz, Z., Gerdes, J. H., & Uysal, M. (2015). What can big data and text analytics tell us about hotel guest experience and satisfaction? International Journal of Hospitality Management, 44, 120–130. doi:10.1016/j.ijhm.2014.10.013
  • Yen, C.-L., & Tang, C.-H. (2015). Hotel attribute performance, eWOM motivations, and media choice. International Journal of Hospitality Management, 46, 79–88. doi:10.1016/j.ijhm.2015.01.003
  • Zane, B. (1997). The B&B guest: A comprehensive view. Cornell Hotel and Restaurant Administration Quarterly, 38(4), 69–75. doi:10.1177/001088049703800436
  • Zervas, G., Proserpio, D., & Byers, J. (2015a). The rise of the sharing economy: Estimating the impact of Airbnb on the hotel industry. Boston U. School of Management Research Paper No. 2013-16. Retrieved from SSRN http://ssrn.com/abstract=2366898
  • Zervas, G., Proserpio, D., & Byers, J. (2015b). A First Look at Online Reputation on Airbnb, Where Every Stay is Above Average. Retrieved from SSRN http://ssrn.com/abstract=2554500
  • Zhou, L., Ye, S., Pearce, P. L., & Wu, M.-Y. (2014). Refreshing hotel satisfaction studies by reconfiguring customer review data. International Journal of Hospitality Management, 38, 1–10. doi:10.1016/j.ijhm.2013.12.004

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