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Abstract

Recognizing that the pricing strategy of the newly emerging online shared accommodation industry would be different from that of the traditional hotel industry, this study attempted to identify the variables that are the main determinants of the peer-to-peer tourist accommodation price. Using a data set of Airbnb accommodation listings for Toronto, the study established a relationship between room pricing and various listing variables and identified a reduced number of listing attributes that influence the room price significantly. Focusing on a reduced number of important variables, Airbnb hosts can not only increase average profit but would also give tourists a better rental experience. Along with traditional multiple regressions approach, the study also applied two different approaches and found that the analysis of hedonic pricing using nonlinear and nonparametric approaches is quite promising.

Keywords

pricing determinants sharing economy variable importance adaptive spline function Airbnb listing random forest

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References

Aguiló

Riera

Rosselló

(2005). The short-term price effect of a tourist tax through a dynamic demand model. The case of the Balearic Islands. Tourism Management, 26(3), 359-365. https://doi.org/10.1016/j.tourman.2003.07.005

Airbnb. (2018). Fast facts. https://press.atairbnb.com/fast-facts

Ajzen

(1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T

Amaro

Andreu

Huang

(2017). Generation Y travelers’ intentions to book Airbnb accommodation: An abstract. In Rossi

(Ed.), Marketing at the confluence between entertainment and analytics. Developments in marketing science: Proceedings of the Academy of Marketing Science (pp. 43-44). Springer. https://doi.org/10.1007/978-3-319-47331-4_10

Anderson

D. N.

(2014). “Not just a taxi”? For-profit ridesharing, driver strategies, and VMT. Transportation, 41(5), 1099-1117. https://doi.org/10.1007/s11116-014-9531-8

Assaf

A. G.

Josiassen

Woo

Agbola

F. W.

Tsionas

(2017). Destination characteristics that drive hotel performance: A state-of-the-art global analysis. Tourism Management, 60, 270-279. https://doi.org/10.1016/j.tourman.2016.12.010

Åstrøm

J. K.

(2017). Theme factors that drive the tourist customer experience. International Journal of Culture, Tourism and Hospitality Research, 11(2), 125-141. https://doi.org/10.1108/IJCTHR-07-2015-0070

Batmaz

İ.

Danışoğlu

Yazıcı

Kartal-Koç

. (2017, November). A data mining application to deposit pricing: Main determinants and prediction models. Applied Soft Computing, 60, 808-819. https://doi.org/10.1016/j.asoc.2017.07.047

Becerra

Santaló

Silva

(2013). Being better vs. being different: Differentiation, competition, and pricing strategies in the Spanish hotel industry. Tourism Management, 34, 71-79. https://doi.org/10.1016/j.tourman.2012.03.014

10.

Bellotti

Ambard

Turner

Gossmann

Demkova

Carroll

J. M.

(2015). A muddle of models of motivation for using peer-to-peer economy systems. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems—CHI ‘15 (pp. 1085-1094). https://doi.org/10.1145/2702123.2702272

11.

Benítez-Aurioles

(2018). Why are flexible booking policies priced negatively? Tourism Management, 67, 312-325. https://doi.org/10.1016/j.tourman.2018.02.008

12.

Berezina

Bilgihan

Cobanoglu

Okumus

(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

13.

Bonsón Ponte

Carvajal-Trujillo

Escobar-Rodríguez

. (2015). Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents. Tourism Management, 47, 286-302. https://doi.org/10.1016/j.tourman.2014.10.009

14.

Botsman

Rogers

(2010). What’s mine is yours: The rise of collaborative consumption. HarperCollins.

15.

Botsman

Rogers

(2011). What’s mine is yours: How collaborative consumption is changing the way we live (Vol. 5). HarperCollins.

16.

Breiman

(2001). Random forests. Machine Learning, 45(1), 5-32. https://doi.org/10.1023/A:1010933404324

17.

Breiman

(2002). Manual on setting up, using, and understanding random forests v3.1. University of California Berkeley. https://www.stat.berkeley.edu/~breiman/Using_random_forests_V3.1.pdf

18.

Chattopadhyay

Mitra

S. K.

(2019). Determinants of revenue per available room: Influential roles of average daily rate, demand, seasonality and yearly trend. International Journal of Hospitality Management, 77, 573-582. https://doi.org/10.1016/j.ijhm.2018.09.001

19.

Chen

Xie

(2017). Consumer valuation of Airbnb listings: A hedonic pricing approach. International Journal of Contemporary Hospitality Management, 29(9), 2405-2424. https://doi.org/10.1108/IJCHM-10-2016-0606

20.

Cho

(2001). Tourism forecasting and its relationship with leading economic indicators. Journal of Hospitality & Tourism Research, 25(4), 399-420. https://doi.org/10.1177/109634800102500404

21.

Cohen

Kietzmann

(2014). Ride on! Mobility business models for the sharing economy. Organization & Environment, 27(3), 279-296. https://doi.org/10.1177/1086026614546199

22.

Cohen

Coughlin

(2008). Spatial hedonic models of airport noise, proximity, and housing prices. Journal of Regional Science, 48(5), 859-878. https://doi.org/10.1111/j.1467-9787.2008.00569.x

23.

Corgel

deRoos

(1993). The ADR rule-of-thumb as predictor of lodging property. International Journal of Hospitality Management, 12(4), 353-365. https://doi.org/10.1016/0278-4319(93)90051-A

24.

Edelman

B. G.

Luca

Svirsky

(2015). Racial discrimination in the sharing economy: Evidence from a field experiment [Harvard Business School NOM Unit Working Paper No. 16-069]. https://doi.org/10.2139/ssrn.2701902

25.

Ert

Fleischer

Magen

(2015). Trust and reputation in the sharing economy: The role of personal photos in AirBnB. In Advances in consumer research (Vol. 43, pp. 518-519). Association for Consumer Research. https://doi.org/10.2139/ssrn.2624181

26.

Ert

Fleischer

Magen

(2016). Trust and reputation in the sharing economy: The role of personal photos in Airbnb. Tourism Management, 55, 62-73. https://doi.org/10.1016/j.tourman.2016.01.013

27.

Espinet

J. M.

Saez

Coenders

Fluvia

(2003). Effect on prices of the attributes of holiday hotels: A hedonic prices approach. Tourism Economics, 9(2), 165-177. https://doi.org/10.5367/000000003101298330

28.

Fleischer

(2012). A room with a view: A valuation of the Mediterranean Sea view. Tourism Management, 33, 598-602. https://doi.org/10.1016/j.tourman.2011.06.016

29.

Friedman

J. H.

(1991). Multivariate adaptive regression splines. Annals of Statistics, 19(1), 1-67. https://doi.org/10.1214/aos/1176347963

30.

Gibbs

Guttentag

Gretzel

Morton

Goodwill

(2018). Pricing in the sharing economy: A hedonic pricing model applied to Airbnb listings. Journal of Travel & Tourism Marketing, 35(1), 46-56. https://doi.org/10.1080/10548408.2017.1308292

31.

Gibbs

Guttentag

Gretzel

Yao

Morton

(2018). Use of dynamic pricing strategies by Airbnb hosts. International Journal of Contemporary Hospitality Management, 30(1), 2-20. https://doi.org/10.1108/IJCHM-09-2016-0540

32.

Goodman

A. C.

(1978). Hedonic prices, price indices and housing markets. Journal of Urban Economics, 5(4), 471-484. https://doi.org/10.1016/0094-1190(78)90004-9

33.

Gottlieb

(2013). Residential short-term rentals: Should local governments regulate the “industry?” Planning & Environmental Law, 65(2), 4-9. https://doi.org/10.1080/15480755.2013.766496

34.

Grömping

(2009). Variable importance assessment in regression: Linear regression versus random forest. The American Statistician, 63(4), 308-319. https://doi.org/10.1198/tast.2009.08199

35.

Guttentag

(2015). Airbnb: Disruptive innovation and the rise of an informal tourism accommodation sector. Current Issues in Tourism, 18(12), 1192-1217. https://doi.org/10.1080/13683500.2013.827159

36.

Gwin

C. F.

Gwin

C. R.

(2003). Product attributes model: A tool for evaluating brand positioning. Journal of Marketing Theory and Practice, 11(2), 30-42. https://doi.org/10.1080/10696679.2003.11658494

37.

Gyódi

(2017). Airbnb and Booking.com: Sharing economy competing against traditional firms [Working paper DELab UW No. 3]. Uniwersytet Warszawski. http://www.delab.uw.edu.pl/wp-content/uploads/2017/09/WP_3_2017_K.Gyodi_.pdf

38.

Hastie

Tibshirani

Friedman

(2009). The elements of statistical learning: Data mining, inference, and prediction (2nd ed., Springer Series in Statistics). Springer. https://doi.org/10.1007/978-0-387-84858-7

39.

Hawlitschek

Teubner

Weinhardt

(2016). Trust in the sharing economy. Die Unternehmung, 70(1), 26-44. https://doi.org/10.5771/0042-059X-2016-1-26

40.

Heo

C. Y.

Hyun

S. S.

(2015). Do luxury room amenities affect guests’ willingness to pay? International Journal of Hospitality Management, 46, 161-168. https://doi.org/10.1016/j.ijhm.2014.10.002

41.

Herrmann

(2014). Hotel room rates under the influence of a large event: The Oktoberfest in Munich 2012. International Journal of Hospitality Management, 39, 21-28. https://doi.org/10.1016/j.ijhm.2014.01.006

42.

Hill

(2015). How much is your spare room worth? IEEE Spectrum, 52(9), 32-58. https://doi.org/10.1109/MSPEC.2015.7226609

43.

Hirschman

Holbrook

(1982). Hedonic consumption: Emerging concepts, methods and propositions. Journal of Marketing, 46(3), 92-101. https://doi.org/10.1177/002224298204600314

44.

Horn

Merante

(2017). Is home sharing driving up rents? Evidence from Airbnb in Boston. Journal of Housing Economics, 38, 14-24. https://doi.org/10.1016/j.jhe.2017.08.002

45.

Hung

W. T.

Shang

J. K.

Wang

F. C.

(2010). Pricing determinants in the hotel industry: Quantile regression analysis. International Journal of Hospitality Management, 29(3), 378-384. https://doi.org/10.1016/j.ijhm.2009.09.001

46.

Ikkala

Lampinen

(2014, February). Defining the price of hospitality: Networked hospitality exchange via Airbnb. In Proceedings of the companion publication of the 17th ACM conference on computer supported cooperative work & social computing (pp. 173-176). ACM. https://doi.org/10.1145/2556420.2556506

47.

M. U.

(2016). Exploring the impact of hedonic activities on casino-hotel visitors’ positive emotions and satisfaction. Journal of Hospitality and Tourism Management, 26, 27-35. https://doi.org/10.1016/j.jhtm.2015.07.004

48.

Ishwaran

(2007). Variable importance in binary regression trees and forests. Electronic Journal of Statistics, 1, 519-537. https://doi.org/10.1214/07-EJS039

49.

Israeli

A. A.

(2002). Star rating and corporate affiliation: Their influence on room price and performance of hotels in Israel. International Journal of Hospitality Management, 21(4), 405-424. https://doi.org/10.1016/S0278-4319(02)00037-3

50.

Jang

Moutinho

(2019). Do price promotions drive consumer spending on luxury hotel services? The moderating roles of room price and user-generated content. International Journal of Hospitality Management, 78, 27-35. https://doi.org/10.1016/j.ijhm.2018.11.010

51.

Kahneman

Tversky

(1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-292. https://doi.org/10.2307/1914185

52.

Kaidou

Moore

Charles-Soverall

(2014). Neighborhood features and the rental price of villas and cottages in Barbados. Journal of Hospitality & Tourism Research, 38(4), 528-545. https://doi.org/10.1177/1096348012461543

53.

Kharouf

Sekhon

Fazal-e-Hasan

S. M.

Hickman

Mortimer

(2019). The role of effective communication and trustworthiness in determining guests’ loyalty. Journal of Hospitality Marketing & Management, 28(2), 240-262. https://doi.org/10.1080/19368623.2018.1505574

54.

Kim

Jang

Kang

Kim

S. J.

(2020). Why are hotel room prices different? Exploring spatially varying relationships between room price and hotel attributes. Journal of Business Research, 107, 118-129. https://doi.org/10.1016/j.jbusres.2018.09.006

55.

Kim

W. G.

Han

Hyun

(2004). Multi-stage synthetic hotel pricing. Journal of Hospitality & Tourism Research, 28(2), 166-185. https://doi.org/10.1177/1096348004264082

56.

Köseoglu

M. A.

Okumus

Putra

E. D.

Yildiz

Dogan

I. C.

(2019). Conceptual structure of lodging-context studies: 1990-2016. Journal of Hospitality & Tourism Research, 43(4), 573-594. https://doi.org/10.1177/1096348018823912

57.

Lancaster

K. J.

(1966). A new approach to consumer theory. Journal of Political Economy, 74(2), 132-157. https://doi.org/10.1086/259131

58.

Lancaster

K. J.

(1971). Consumer demand: A new approach. Columbia University Press.

59.

Lancaster

K. J.

(1979). Variety, equity, and efficiency: Product variety in an industrial society (Vol. 10). Columbia University Press. https://doi.org/10.7312/lanc94538

60.

Latinopoulos

(2018). Using a spatial hedonic analysis to evaluate the effect of sea view on hotel prices. Tourism Management, 65, 87-99. https://doi.org/10.1016/j.tourman.2017.09.019

61.

Lee

Kim

D. Y.

(2018). The effect of hedonic and utilitarian values on satisfaction and loyalty of Airbnb users. International Journal of Contemporary Hospitality Management, 30(3), 1332-1351. https://doi.org/10.1108/IJCHM-09-2016-0504

62.

Lee

S. K.

Jang

S. C.

(2012). Premium or discount in hotel room rates? The dual effects of a central downtown location. Cornell Hospitality Quarterly, 53(2), 165-173. https://doi.org/10.1177/1938965512441056

63.

Liang

Schuckert

Law

Chen

C. C.

(2017). Be a “superhost”: The importance of badge systems for peer-to-peer rental accommodations. Tourism Management, 60, 454-465. https://doi.org/10.1016/j.tourman.2017.01.007

64.

Lorde

Jacob

Weekes

(2019). Price-setting behavior in a tourism sharing economy accommodation market: A hedonic price analysis of Airbnb hosts in the Caribbean. Tourism Management Perspectives, 30, 251-261. https://doi.org/10.1016/j.tmp.2019.03.006

65.

Berchoux

Marek

M. W.

Chen

(2015). Service quality and customer satisfaction: Qualitative research implications for luxury hotels. International Journal of Culture, Tourism and Hospitality Research, 9(2), 168-182. https://doi.org/10.1108/IJCTHR-10-2014-0087

66.

C. J.

Lee

T. S.

Lian

C. M.

(2012). Sales forecasting for computer wholesalers: A comparison of multivariate adaptive regression splines and artificial neural networks. Decision Support Systems, 54(1), 584-596. https://doi.org/10.1016/j.dss.2012.08.006

67.

Mahadevan

(2018). Examination of motivations and attitudes of peer-to-peer users in the accommodation sharing economy. Journal of Hospitality Marketing & Management, 27(6), 679-692. https://doi.org/10.1080/19368623.2018.1431994

68.

Mangion

M. L.

Durbarry

Sinclair

M. T.

(2005). Tourism competitiveness: Price and quality. Tourism Economics, 11(1), 45-68. https://doi.org/10.5367/0000000053297202

69.

Mattila

A. S.

(2001). Do emotional appeals work for hotels? An exploratory study. Journal of Hospitality & Tourism Research, 25(1), 31-45. https://doi.org/10.1177/109634800102500104

70.

Mauri

A. G.

Minazzi

Nieto-García

Viglia

(2018). Humanize your business. The role of personal reputation in the sharing economy. International Journal of Hospitality Management, 73, 36-43. https://doi.org/10.1016/j.ijhm.2018.01.017

71.

Miguéis

V. L.

Camanho

Falcão

Cunha

(2013). Customer attrition in retailing: An application of multivariate adaptive regression splines. Expert Systems With Applications, 40(16), 6225-6232. https://doi.org/10.1016/j.eswa.2013.05.069

72.

Mody

M. A.

Suess

Lehto

(2017). The accommodation experiencescape: A comparative assessment of hotels and Airbnb. International Journal of Contemporary Hospitality Management, 29(9), 2377-2404. https://doi.org/10.1108/IJCHM-09-2016-0501

73.

Möhlmann

(2015). Collaborative consumption: Determinants of satisfaction and the likelihood of using a sharing economy option again. Journal of Consumer Behaviour, 14(3), 193-207. https://doi.org/10.1002/cb.1512

74.

Monty

Skidmore

(2003). Hedonic pricing and willingness to pay for bed and breakfast amenities in Southeast Wisconsin. Journal of Travel Research, 42(2), 195-199. https://doi.org/10.1177/0047287503257500

75.

Otto

J. E.

Ritchie

J. R. B.

(1996). The service experience in tourism. Tourism Management, 17, 165-174. https://doi.org/10.1016/0261-5177(96)00003-9

76.

Papatheodorou

(2002). Exploring competitiveness in Mediterranean resorts. Tourism Economics, 8(2), 133-150. https://doi.org/10.5367/000000002101298034

77.

Pappas

(2017). The complexity of purchasing intentions in peer-to-peer accommodation. International Journal of Contemporary Hospitality Management, 29(9), 2302-2321. https://doi.org/10.1108/IJCHM-08-2016-0429

78.

Portolan

(2013). Impact of the attributes of private tourist accommodation facilities onto prices: A hedonic price approach. European Journal of Tourism Research, 6(1), 74-82.

79.

Priceconomics. (2013). Airbnb vs hotels: A price comparison. http://priceonomics.com/hotels/

80.

Qiu

R. T.

Fan

D. X.

Liu

(2018). Exploring the booking determinants of the Airbnb properties: An example of the listing of London. In Information and communication technologies in tourism (pp. 44-51). Springer. https://doi.org/10.1007/978-3-319-72923-7_4

81.

Reisch

Thøgersen

(2015). Handbook of research on sustainable consumption. Edward Elgar. https://doi.org/10.4337/9781783471270

82.

Rosen

(1974). Hedonic prices and implicit markets: Product differentiation in pure competition. Journal of Political Economy, 82(1), 34-55. https://doi.org/10.1086/260169

83.

Ryan

(1997). The tourist experience: A new introduction. Cassell.

84.

Saló

Garriga

Rigall-I-Torrent

Vila

Fluvià

(2014). Do implicit prices for hotels and second homes show differences in tourists’ valuation for public attributes for each type of accommodation facility? International Journal of Hospitality Management, 36, 120-129. https://doi.org/10.1016/j.ijhm.2013.08.011

85.

Sánchez-Pérez

Illescas-Manzano

M. D.

Martínez-Puertas

(2019). Modeling hotel room pricing: A multi-country analysis. International Journal of Hospitality Management, 79, 89-99. https://doi.org/10.1016/j.ijhm.2018.12.014

86.

Sarmah

Rahman

Kamboj

(2017). Customer co-creation and adoption intention towards newly developed services: an empirical study. International Journal of Culture, Tourism and Hospitality Research, 11(3), 372-391. https://doi.org/10.1108/IJCTHR-07-2016-0070

87.

Schamel

(2012). Weekend vs. midweek stays: Modelling hotel room rates in a small market. International Journal of Hospitality Management, 31(4), 1113-1118. https://doi.org/10.1016/j.ijhm.2012.01.008

88.

Selim

(2009). Determinants of house prices in Turkey: Hedonic regression versus artificial neural network. Expert Systems With Applications, 36(2 Part 2), 2843-2852. https://doi.org/10.1016/j.eswa.2008.01.044

89.

Soler

I. P.

Gemar

(2018). Hedonic price models with geographically weighted regression: An application to hospitality. Journal of Destination Marketing & Management, 9, 126-137. https://doi.org/10.1016/j.jdmm.2017.12.001

90.

Soler

I. P.

Gemar

Correia

M. B.

Serra

(2019). Algarve hotel price determinants: A hedonic pricing model. Tourism Management, 70, 311-321. https://doi.org/10.1016/j.tourman.2018.08.028

91.

Soler

I. P.

Gemar

Guzman-Parra

V. F.

(2019). A comparison of destinations’ impacts on hotel rates. International Journal of Hospitality Management, 77, 226-237. https://doi.org/10.1016/j.ijhm.2018.07.002

92.

Spindler

Woll

Schober

(2018). Sharing is not caring: Backward integration of consumers (No. 18-006). ZEW-Zentrum für Europäische Wirtschaftsforschung/Center for European Economic Research. https://doi.org/10.2139/ssrn.3124190

93.

Sundararajan

(2016). The sharing economy: The end of employment and the rise of crowd-based capitalism. MIT Press.

94.

ter Huurne

Ronteltap

Corten

Buskens

. (2017). Antecedents of trust in the sharing economy: A systematic review. Journal of Consumer Behaviour, 16(6), 485-498. https://doi.org/10.1002/cb.1667

95.

Thai

N. T.

Yuksel

(2017). Choice overload in holiday destination choices. International Journal of Culture, Tourism and Hospitality Research, 11(1), 53-66. https://doi.org/10.1108/IJCTHR-09-2015-0117

96.

Thrane

(2005). Hedonic price models and sun-and-beach package tours: The Norwegian case. Journal of Travel Research, 43(3), 302-308. https://doi.org/10.1177/0047287504272034

97.

Tussyadiah

I. P.

Sigala

(2018). Shareable tourism: tourism marketing in the sharing economy. Journal of Travel and Tourism Marketing, 35(1), 1-4. https://doi.org/10.1080/10548408.2018.1410938

98.

Wan

S. K.

Song

(2019). Economic impact assessment of mega-events in the United Kingdom and Brazil. Journal of Hospitality & Tourism Research, 43(7), 1044-1067. https://doi.org/10.1177%2F1096348019851838

99.

Wang

Nicolau

J. L

. (2017). Price determinants of sharing economy based accommodation rental: A study of listing from 33 cities on Airbnb.com. International Journal of Hospitality Management, 62, 120-131. https://doi.org/10.1016/j.ijhm.2016.12.007

100.

Wang

Hung

(2015). Customer perceptions of critical success factors for guest houses. International Journal of Hospitality Management, 48, 92-101. https://doi.org/10.1016/j.ijhm.2015.05.002

101.

H. C.

M. Y.

(2018). A study of experiential quality, experiential value, experiential satisfaction, theme park image, and revisit intention. Journal of Hospitality & Tourism Research, 42(1), 26-73. https://doi.org/10.1177/1096348014563396

102.

Xiang

Schwartz

Gerdes

J. H. J.

Uysal

(2015). What can big data and text analytics tell us about hotel guest experience and satisfaction? International Journal of Hospitality Management, 44, 120-130. https://doi.org/10.1016/j.ijhm.2014.10.013

103.

Xie

Mao

(2017). The impacts of quality and quantity attributes of Airbnb hosts on listing performance. International Journal of Contemporary Hospitality Management, 29(9), 2240-2260. https://doi.org/10.1108/IJCHM-07-2016-0345

104.

(2019). Examining the relevance of online customer textual reviews on hotels’ product and service attributes. Journal of Hospitality & Tourism Research, 43(1), 141-163. https://doi.org/10.1177/1096348018764573

105.

Yang

Huang

Shen

(2017). Modelling Chinese consumer choice behavior with budget accommodation services. International Journal of Culture, Tourism and Hospitality Research, 11(3), 341-354. https://doi.org/10.1108/IJCTHR-02-2016-0019

106.

Yang

Mueller

N. J.

Croes

R. R.

(2016). Market accessibility and hotel prices in the Caribbean: The moderating effect of quality-signaling factors. Tourism Management, 56, 40-51. https://doi.org/10.1016/j.tourman.2016.03.021

107.

Law

(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

108.

Wang

Law

(2014). The influence of hotel price on perceived service quality and value in e-tourism: An empirical investigation based on online traveler reviews. Journal of Hospitality & Tourism Research, 38(1), 23-39. https://doi.org/10.1177/1096348012442540

109.

Zanon

Teichmann

(2016). The role of message strategies in promoting eco-friendly accommodations. International Journal of Culture, Tourism and Hospitality Research, 10(4), 410-423. https://doi.org/10.1108/IJCTHR-07-2016-0067

110.

Zervas

Proserpio

Byers

J. W.

(2017). The rise of the sharing economy: Estimating the impact of Airbnb on the hotel industry. Journal of Marketing Research, 54(5), 687-705. https://doi.org/10.1509/jmr.15.0204

111.

Zhang

Cheng

Zhang

(2011). Modeling hotel room price with geographically weighted regression. International Journal of Hospitality Management, 30(4), 1036-1043. https://doi.org/10.1016/j.ijhm.2011.03.010

112.

Zhang

Chen

Han

Yang

(2017). Key factors affecting the price of Airbnb listings: A geographically weighted approach. Sustainability, 9(9), 1635. https://doi.org/10.3390/su9091635

113.

Zhu

Zhang

(2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of Marketing, 74(2), 133-148. https://doi.org/10.1509/jm.74.2.133

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What Airbnb Host Listings Influence Peer-to-Peer Tourist Accommodation Price?

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