This study analysed dynamic pricing data of Hong Kong hotels within the last-minute 1-week booking window to determine patterns and direction of room rate changes and their association with hotel characteristics regarding tangible attributes, reputational variables and contextual factors. Findings show that room rates are more likely to increase than decrease or stay constant, and that, holding demand and market conditions constant, the likelihood of price increases (decreases), based on standard binomial probit regression, is positively (negatively) associated with size (tangible attribute), chain affiliation and star rating (reputational attributes), and seller density and location accessibility (contextual factors). These results confirm the importance of differentiation in pricing hotel rooms and indicate how hotel customers and revenue managers can combine these characteristics with predicted demand to anticipate the direction of room rate change in the last-minute booking window as the booking horizon approaches check-in.
AbrateGCaprielloAFraquelliG (2011) When quality signals talk: evidence from the Turin hotel industry. Tourism Management32(4): 912–921.
2.
AbrateGFraquelliGVigliaG (2012) Dynamic pricing strategies: evidence from European hotels. International Journal of Hospitality Management31(1): 160–168.
3.
AbrateGNicolauJLVigliaG (2019) The impact of dynamic price variability on revenue maximization. Tourism Management74: 224–233.
4.
AbrateGVigliaG (2016) Strategic and tactical price decisions in hotel revenue management. Tourism Management55: 123–132.
5.
AlderighiMNicoliniMPigaCA (2015) Combined effects of capacity and time on fares: insights from the yield management of a low-cost airline. Review of Economics and Statistics97(4): 900–915.
6.
AndersonCKXieX (2016) Dynamic pricing in hospitality: overview and opportunities. International Journal of Revenue Management9(2–3): 165–174.
7.
AubkeFWoeberKScottN, et al. (2014) Knowledge sharing in revenue management teams: antecedents and consequences of group cohesion. International Journal of Hospitality Management41: 149–157.
8.
BalaguerJPerníasJC (2013) Relationship between spatial agglomeration and hotel prices. Evidence from business and tourism consumers. Tourism Management36: 391–400.
9.
BecerraMSantalóJSilvaR (2013) Being better vs. being different: differentiation, competition, and pricing strategies in the Spanish hotel industry. Tourism Management34: 71–79.
10.
BenkovskisKFadejevaLKalnberzinaK (2012) Price setting behaviour in Latvia: econometric evidence from CPI micro data. Economic Modelling29(6): 2115–2124.
11.
BullAO (1994) Pricing a motel’s location. International Journal of Contemporary Hospitality Management6(6): 10–15.
12.
CaninaLEnzCAHarrisonJS (2005) Agglomeration effects and strategic orientations: evidence from the US lodging industry. Academy of Management Journal48(4): 565–581.
13.
ChenCSchwartzZ (2008) Room rate patterns and customers’ propensity to book a hotel room. Journal of Hospitality & Tourism Research32(3): 287–306.
14.
ChenCSchwartzZ (2013) On revenue management and last-minute booking dynamics. International Journal of Contemporary Hospitality Management25(1): 7–22.
15.
ChenHRaoAR (2007) When two plus two is not equal to four: errors in processing multiple percentage changes. Journal of Consumer Research34(3): 327–340.
16.
ChoiSMattilaAS (2004) Hotel revenue management and its impact on customers’ perceptions of fairness. Journal of Revenue and Pricing Management2(4): 303–314.
17.
DixitABraunsbergerKZinkhanGM, et al. (2005) Information technology–enhanced pricing strategies: managerial and public policy implications. Journal of Business Research58(9): 1169–1177.
18.
DixitAWhippleTWZinkhanGM, et al. (2008) A taxonomy of information technology-enhanced pricing strategies. Journal of Business Research61(4): 275–283.
19.
FengYGallegoG (1995) Optimal starting times for end-of-season sales and optimal stopping times for promotional fares. Management Science41(8): 1371–1391.
20.
GaggeroAAPigaCA (2011) Airline market power and intertemporal price dispersion. The Journal of Industrial Economics59(4): 552–577.
21.
GallegoGVan RyzinG (1994) Optimal dynamic pricing of inventories with stochastic demand over finite horizons. Management Science40(8): 999–1020.
22.
GarbarinoEMaxwellS (2010) Consumer response to norm-breaking pricing events in e-commerce. Journal of Business Research63(9–10): 1066–1072.
23.
GuizzardiAPonsFMERanieriE (2017) Advance booking and hotel price variability online: Any opportunity for business customers?International Journal of Hospitality Management64: 85–93.
24.
GuizzardiAPonsFMERanieriE (2019) Competition patterns, spatial and advance booking effects in the accommodation market online. Tourism Management71: 476–489.
25.
GuoXLingLYangC, et al. (2013) Optimal pricing strategy based on market segmentation for service products using online reservation systems: an application to hotel rooms. International Journal of Hospitality Management35: 274–281.
26.
HanksRDCrossRGNolandRP (1992) Discounting in the hotel industry: a new approach. Cornell Hotel and Restaurant Administration Quarterly33(1): 15–23.
27.
HeoCYLeeS (2011) Influences of consumer characteristics on fairness perceptions of revenue management pricing in the hotel industry. International Journal of Hospitality Management30(2): 243–251.
28.
HungWShangJWangF (2010) Pricing determinants in the hotel industry: quantile regression analysis. International Journal of Hospitality Management29(3): 378–384.
29.
IngoldAYeomanILeaskA (2000) Yield Management: Strategies for Service Industries. London: Thomson.
30.
IppolitoRA (1981) Estimating airline demand with quality of service variables. Journal of Transport Economics and Policy15(1): 7–15.
31.
JangYChenCCMiaoL (2019) Last-minute hotel-booking behavior: the impact of time on decision-making. Journal of Hospitality and Tourism Management38: 49–57.
32.
KalninsA (2016) Beyond Manhattan: localized competition and organizational failure in urban hotel markets throughout the United States, 2000–2014. Strategic Management Journal37(11): 2235–2253.
33.
KimesSE (1994) Perceived fairness of yield management: applying yield-management principles to rate structures is complicated by what consumers perceive as unfair practices. Cornell Hotel and Restaurant Administration Quarterly35(1): 22–29.
34.
KimesSEWirtzJ (2003) Has revenue management become acceptable? Findings from an international study on the perceived fairness of rate fences. Journal of Service Research6(2): 125–135.
35.
LeeSKJangS (2011) Room rates of US airport hotels: examining the dual effects of proximities. Journal of Travel Research50 (2): 186–197.
36.
LeeSKJangS (2012) Premium or discount in hotel room rates? The dual effects of a central downtown location. Cornell Hospitality Quarterly53(2): 165–173.
37.
LewisM (2008) Price dispersion and competition with differentiated sellers. Journal of Industrial Economics56(3): 654–678.
38.
LingLDongYGuoX, et al. (2015) Availability management of hotel rooms under cooperation with online travel agencies. International Journal of Hospitality Management50: 145–152.
39.
LottJRRobertsRD (1991) A guide to the pitfalls of identifying price discrimination. Economic Inquiry29(1): 14–23.
40.
MantinBGillenD (2011) The hidden information content of price movements. European Journal of Operational Research211(2): 385–393.
41.
McCannBTVroomG (2010) Pricing response to entry and agglomeration effects. Strategic Management Journal31(3): 284–305.
42.
MelisGPigaCA (2017) Are all online hotel prices created dynamic? An empirical assessment. International Journal of Hospitality Management67: 163–173.
43.
PanCM (2007) Market demand variations, room capacity, and optimal hotel room rates. International Journal of Hospitality Management26(3): 748–753.
44.
RoperoMA (2011) Dynamic pricing policies of hotel establishments in an online travel agency. Tourism Economics17(5): 1087–1102.
45.
SanjayK (2009) Yield management: getting more out of what you already have. Ericsson Business Review1(2): 17–19.
46.
SchamelG (2012) Weekend vs. midweek stays: modelling hotel room rates in a small market. International Journal of Hospitality Management31(4): 1113–1118.
47.
SelmiNDornierR (2011) Yield management in the French hotel business: an assessment of the importance of the human factor. International Business Research4(2): 58–66.
48.
StokeyNL (1979) Intertemporal price discrimination. The Quarterly Journal of Economics93(3): 355–371.
ThalerR (1985) Mental accounting and consumer choice. Marketing Science4(3): 199–214.
51.
UrtasunAGutiérrezI (2006) Hotel location in tourism cities: Madrid 1936–1998. Annals of Tourism Research33(2): 382–402.
52.
VigliaGMauriACarricanoM (2016) The exploration of hotel reference prices under dynamic pricing scenarios and different forms of competition. International Journal of Hospitality Management52: 46–55.
53.
Villas-BoasJM (1999) Dynamic competition with customer recognition. The Rand Journal of Economics30(4): 604–631.
54.
VivesAJacobM (2020) Dynamic pricing for online hotel demand: the case of resort hotels in Majorca. Journal of Vacation Marketing26(2): 268–283.
55.
Yang Y, MuellerNJCroesRR (2016) Market accessibility and hotel prices in the Caribbean: the moderating effect of quality-signaling factors. Tourism Management56: 40–51.
56.
YangYLuoHLawR (2014) Theoretical, empirical, and operational models in hotel location research. International Journal of Hospitality Management36: 209–220.
57.
ZhangZYeQLawR (2011) Determinants of hotel room price: an exploration of travelers’ hierarchy of accommodation needs. International Journal of Contemporary Hospitality Management23(7): 972–981.
