Improving upon previous studies on hotel performance evaluation in terms of efficiency, which usually treat different hotels as homogeneous in their product provision, this study examines the performance of 53 hotels in the Guangdong-Hong Kong-Macau Greater Bay Area (GBA) during 2015 to 2019, by employing data envelopment analysis with a non-homogeneous decision making units (DMUs) model. The results show that the hotels in GBA were inefficient, and those with high product diversification are generally closer to achieving optimal efficiency levels, particularly those providing rooms, food and beverage, meeting services, and spa services, while those providing only rooms had the worst performance. Among the GBA cities included in this study, the non-homogeneous efficiency scores of the hotels in Guangzhou outperformed those of hotels in the other cities, and the overall hotel efficiency score of the core cities was better than that of the key node cities.
AlbercaP.ParteL. (2018). Operational efficiency evaluation of restaurant firms. International Journal of Contemporary Hospitality Management, 30(3), 1959–1977. https://doi.org/10.1108/IJCHM-09-2016-0547
2.
ArbeloA.Arbelo-PérezM.Pérez-GómezP. (2021). Heterogeneity of resources and performance in the hotel industry. Journal of Hospitality & Tourism Research, 45(1), 68–89. https://doi.org/10.1177/1096348020944450
3.
Arbelo-PérezM.ArbeloA.Pérez-GómezP. (2020). Technological heterogeneity and hotel efficiency: A Bayesian approach. Cornell Hospitality Quarterly, 61(2), 170–182. https://doi.org/10.1177/1938965519889286
4.
AssafA.BarrosC. P.JosiassenA. (2010). Hotel efficiency: A bootstrapped metafrontier approach. International Journal of Hospitality Management, 29(3), 468–475. https://doi.org/10.1016/j.ijhm.2009.10.020
5.
AssafA. G.MagniniV. (2012). Accounting for customer satisfaction in measuring hotel efficiency: Evidence from the US hotel industry. International Journal of Hospitality Management, 31(3), 642–647. https://doi.org/10.1016/j.ijhm.2011.08.008
6.
AssafA. G.TsionasM. (2018). Measuring hotel performance: Toward more rigorous evidence in both scope and methods. Tourism Management, 69, 69–87. https://doi.org/10.1016/j.tourman.2018.05.008
7.
BenurA. M.BramwellB. (2015). Tourism product development and product diversification in destinations. Tourism Management, 50, 213–224. https://doi.org/10.1016/j.tourman.2015.02.005
8.
BooS.BusserJ. A. (2018). Meeting planners’ online reviews of destination hotels: A twofold content analysis approach. Tourism Management, 66, 287–301. https://doi.org/10.1016/j.tourman.2017.11.014
9.
ChangS. C.WangC. F. (2007). The effect of product diversification strategies on the relationship between international diversification and firm performance. Journal of World Business, 42(1), 61–79. https://doi.org/10.1016/j.jwb.2006.11.002
10.
CharnesA.CooperW. W.RhodesE. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
11.
ChatzimichaelK.LiasidouS. (2019). A parametric decomposition of hotel-sector productivity growth. International Journal of Hospitality Management, 76, 206–215. https://doi.org/10.1016/j.ijhm.2018.05.010
12.
ChenC. M.ChangK. L. (2012). Diversification strategy and financial performance in the Taiwanese hotel industry. International Journal of Hospitality Management, 31(3), 1030–1032. https://doi.org/10.1016/j.ijhm.2011.10.003
13.
ChenL. F. (2019). Hotel chain affiliation as an environmental performance strategy for luxury hotels. International Journal of Hospitality Management, 77, 1–6. https://doi.org/10.1016/j.ijhm.2018.08.021
14.
CookW. D.HarrisonJ.ImaniradR.RouseP.ZhuJ. (2013). Data envelopment analysis with nonhomogeneous DMUs. Operations Research, 61(3), 666–676. https://doi.org/10.1287/opre.2013.1173
15.
CookW. D.HarrisonJ.RouseP.ZhuJ. (2012). Relative efficiency measurement: The problem of a missing output in a subset of decision making units. European Journal of Operational Research, 220(1), 79–84. https://doi.org/10.1016/j.ejor.2012.01.022
16.
CooperW. W.SeifordL. M.ZhuJ. (2011). Handbook on data envelopment analysis. Springer. DOI 10.1007/978-1-4419-6151-8
de GrosboisD. (2012). Corporate social responsibility reporting by the global hotel industry: Commitment, initiatives and performance. International Journal of Hospitality Management, 31(3), 896–905. https://doi.org/10.1016/j.ijhm.2011.10.008
19.
DeFrancoA.KohY.PremP.LoveB. (2022). Inclusion of condominium units in luxury hotels as a diversification strategy: Property performance perspective. Cornell Hospitality Quarterly, 63(1), 108–118. https://doi.org/10.1177/19389655211050398
DongH.PeypochN.ZhangL. (2020). Do contextual factors matter? Evidence from Chinese hotel productivity with heterogeneity. Tourism Economics, 26(2), 257–275. https://doi.org/10.1177/1354816619856239
22.
FanD. X. F.HsuC. H. C.LiuA. X. (2023). Transforming brand identity to hotel performance: The moderating effect of social capital. Journal of Hospitality & Tourism Research, 47(7), 1270–1298. https://doi.org/10.1177/10963480221074278
23.
FancelloG.CartaM.SerraP. (2020). Data Envelopment Analysis for the assessment of road safety in urban road networks: A comparative study using CCR and BCC models. Case Studies on Transport Policy, 8(3), 736–744. https://doi.org/10.1016/j.cstp.2020.07.007
GeorgeR.KabirR. (2012). Heterogeneity in business groups and the corporate diversification–firm performance relationship. Journal of Business Research, 65(3), 412–420. https://doi.org/10.1016/j.jbusres.2011.07.005
26.
GuH.RyanC.YuL. (2012). The changing structure of the Chinese hotel industry: 1980–2012. Tourism Management Perspectives, 4, 56–63. https://doi.org/10.1016/j.tmp.2012.02.001
27.
HittM. A.HoskissonR. E.IrelandR. D. (1994). A mid-range theory of the interactive effects of international and product diversification on innovation and performance. Journal of Management, 20(2), 297–326.
HuangC. W. (2017). Assessment of efficiency of manual and non-manual human resources for tourist hotel industry: An application of the hybrid DEA model. International Journal of Contemporary Hospitality Management, 29(4), 1074–1095. https://doi.org/10.1108/IJCHM-07-2015-0363
30.
HuangC. W.ChiuY. H.TuC. H.LuoZ. Y.WangZ. (2016). Using the nonhomogeneous frontier two-stage DEA model to assess the efficiencies of expense utilization and operation of the Taiwanese hotel industry. International Transactions in Operational Research, 23(6), 1067–1087. https://doi.org/10.1111/itor.12180
31.
ImaniradR.CookW. D.ZhuJ. (2013). Partial input to output impacts in DEA: Production considerations and resource sharing among business subunits. Naval Research Logistics, 60(3), 190–207. https://doi.org/10.1002/nav.21528
32.
JonesP.HillierD.ComfortD. (2014). Sustainability in the global hotel industry. International Journal of Contemporary Hospitality Management, 26(1), 5–17. https://doi.org/10.1108/IJCHM-10-2012-0180
33.
KangK. H.LeeS.YangH. (2011). The effects of product diversification on firm performance and complementarities between products: A study of US casinos. International Journal of Hospitality Management, 30(2), 409–421. https://doi.org/10.1016/j.ijhm.2010.06.008
34.
KarakitsiouA.KourgiantakisM.MavrommatiA.MigdalasA. (2020). Regional efficiency evaluation by input-oriented data envelopment analysis of hotel and restaurant sector. Operational Research, 20, 2041–2058. https://doi.org/10.1007/s12351-018-0406-1.
35.
KimC.ChungK. (2022). Measuring customer satisfaction and hotel efficiency analysis: An approach based on data envelopment analysis. Cornell Hospitality Quarterly, 63(2), 257–266. https://doi.org/10.1177/1938965520944914
36.
KimJ.KimS. I.LeeM. (2022). What to sell and how to sell matters: Focusing on luxury hotel properties’ business performance and efficiency. Cornell Hospitality Quarterly, 63(1), 78–95. https://doi.org/10.1177/19389655211020254
37.
KohY. (2019). Dynamics between brand diversification and segment diversification on firm value. Tourism Economics, 25(5), 819–826. https://doi.org/10.1177/1354816618814352
38.
Lado-SestayoR.Fernández-CastroÁ. S. (2019). The impact of tourist destination on hotel efficiency: A data envelopment analysis approach. European Journal of Operational Research, 272(2), 674–686. https://doi.org/10.1016/j.ejor.2018.06.043
39.
Lado-SestayoR.Vivel-BúaM. (2018). Profitability in the hotel sector: A PLS approach. Journal of Hospitality and Tourism Technology, 9(3), 455–470. https://doi.org/10.1108/JHTT-10-2017-0118
40.
LiW.LiangL.CookW. D.ZhuJ. (2016). DEA models for non-homogeneous DMUs with different input configurations. European Journal of Operational Research, 254(3), 946–956. https://doi.org/10.1016/j.ejor.2016.04.063
41.
LinS. C.KimY. R. (2020). Diversification strategies and failure rates in the Texas lodging industry: Franchised versus company-operated hotels. International Journal of Hospitality Management, 88, Article 102525. https://doi.org/10.1016/j.ijhm.2020.102525
42.
LiuH.TsaiH.WuJ. (2018). Regional hotel performance and benchmarking in the Pearl River Delta: An input and output efficiency analysis. International Journal of Contemporary Hospitality Management, 30(2), 855–873. https://doi.org/10.1108/IJCHM-05-2016-0270
43.
LiuS.GuoJ.LiuX.YangR.WangH.SunY.ChenB.DongR. (2023). Detection of various microplastics in placentas, meconium, infant feces, breastmilk and infant formula: A pilot prospective study. Science of The Total Environment, 854, Article 158699. http://doi.org/10.1016/j.scitotenv.2022.158699
44.
LoA. S.WuC. (2014). Effect of consumption emotion on hotel and resort spa experience. Journal of Travel & Tourism Marketing, 31(8), 958–984. https://doi.org/10.1080/10548408.2014.895692
45.
LozanoS. (2012). Information sharing in DEA: A cooperative game theory approach. European Journal of Operational Research, 222(3), 558–565. https://doi.org/10.1016/j.ejor.2012.05.014
MadanogluM.OzdemirO. (2016). Is more better? The relationship between meeting space capacity and hotel operating performance. Tourism Management, 52, 74–81. https://doi.org/10.1016/j.tourman.2015.06.005
48.
MahajanV.MoghaS. K.PannalaR. P. K. (2024). Evaluation of efficiency and ranking of Indian hotels and restaurants: A bootstrap DEA approach. Benchmarking: An International Journal, 31(1), 186–198. https://doi.org/10.1108/BIJ-07-2021-0443
49.
MandelbaumR.LernerG. (2008). PKF industry analysis: Hotel operators massage more profits from their spa operations. Cornell Hospitality Quarterly, 49(2), 99–104. https://doi.org/10.1177/1938965508317468
50.
OukilA.ChannoufN.Al-ZaidiA. (2016). Performance evaluation of the hotel industry in an emerging tourism destination: The case of Oman. Journal of Hospitality and Tourism Management, 29, 60–68. https://doi.org/10.1016/j.jhtm.2016.05.003
51.
PanJ.-N.NguyenH. T. N. (2015). Achieving customer satisfaction through product–service systems. European Journal of Operational Research, 247(1), 179–190. https://doi.org/10.1016/j.ejor.2015.05.018
52.
Parte-EstebanL.Alberca-OliverP. (2015). Determinants of technical efficiency in the Spanish hotel industry: Regional and corporate performance factors. Current Issues in Tourism, 18(4), 391–411. https://doi.org/10.1080/13683500.2013.800029
53.
Pérez-RodríguezJ. V.Acosta-GonzálezE. (2023). The impact of ownership and size heterogeneity on hotel efficiency in the Canary Islands (Spain). Tourism Economics, 29(1), 3–29. https://doi.org/10.1177/13548166211035853
54.
PuertasR.Guaita-MartinezJ. M.CarracedoP.Ribeiro-SorianoD. (2022). Analysis of European environmental policies: Improving decision making through eco-efficiency. Technology in Society, 70, Article 102053. https://doi.org/10.1016/j.techsoc.2022.102053
55.
RahimiR.KozakM. (2017). Impact of customer relationship management on customer satisfaction: The case of a budget hotel chain. Journal of Travel & Tourism Marketing, 34(1), 40–51. https://doi.org/10.1080/10548408.2015.1130108
SongH. J.KangK. H. (2019). The moderating effect of CEO duality on the relationship between geographic diversification and firm performance in the US lodging industry. International Journal of Contemporary Hospitality Management, 31(3), 1488–1504. https://doi.org/10.1108/IJCHM-12-2017-0848
TanY.DespotisD. (2021). Investigation of efficiency in the UK hotel industry: A network data envelopment analysis approach. International Journal of Contemporary Hospitality Management, 33(3), 1080–1104. https://doi.org/10.1108/IJCHM-07-2020-0641
60.
TangC. H. H.JangS. S. (2007). Revisit to the determinants of capital structure: A comparison between lodging firms and software firms. International Journal of Hospitality Management, 26(1), 175–187. https://doi.org/10.1016/j.ijhm.2005.08.002
TsaurS. (2001). The operating efficiency of international tourist hotels in Taiwan. Asia Pacific Journal of Tourism Research, 6(1), 73–81. https://doi.org/10.1080/10941660108722090
63.
WalheerB.ZhangL. (2018). Profit Luenberger and Malmquist-Luenberger indexes for multi-activity decision-making units: The case of the star-rated hotel industry in China. Tourism Management, 69, 1–11. https://doi.org/10.1016/j.tourman.2018.05.003
64.
WenY.AnQ.HuJ.ChenX. (2021). DEA game for internal cooperation between an upper-level process and multiple lower-level processes. Journal of the Operational Research Society, 73(9), 1949–1960. https://doi.org/10.1080/01605682.2021.1967212
65.
WhitlaP.WaltersP. G. P.DaviesH. (2007). Global strategies in the international hotel industry. International Journal of Hospitality Management, 26(4), 777–792. https://doi.org/10.1016/j.ijhm.2006.08.001
66.
WuJ.LiM.ZhuQ.ZhouZ.LiangL. (2019). Energy and environmental efficiency measurement of China’s industrial sectors: A DEA model with non-homogeneous inputs and outputs. Energy Economics, 78, 468–480. https://doi.org/10.1016/j.eneco.2018.11.036
67.
YangY.CaoY.YangL. T. G. (2017). Product diversification and property performance in the urban lodging market: The relationship and its moderators. Tourism Management, 59, 363–375. https://doi.org/10.1016/j.tourman.2016.08.018
68.
YehC. Y.ChenC. M.HuJ. L. (2012). Business diversification in the hotel industry: A comparative advantage analysis. Tourism Economics, 18(5), 941–952. https://doi.org/10.5367/te.2012.0152
69.
YinP.ChuJ.WuJ.DingJ.YangM.WangY. (2020). A DEA-based two-stage network approach for hotel performance analysis: An internal cooperation perspective. Omega, 93, Article 102035. https://doi.org/10.1016/j.omega.2019.02.004
70.
YuA.ShiY.YouJ.ZhuJ. (2021). Innovation performance evaluation for high-tech companies using a dynamic network data envelopment analysis approach. European Journal of Operational Research, 292(1), 199–212. https://doi.org/10.1016/j.ejor.2020.10.011
71.
YuM.-M.ChenL. H. (2016). Productivity growth of Taiwanese international tourist hotels in a metafrontier framework. Cornell Hospitality Quarterly, 57(1), 38–50. https://doi.org/10.1177/1938965515577831
72.
ZhaJ.HeD.ZhuY.YangX.LuoM. (2022). Evaluation and decomposition of tourism inefficiency considering heterogeneous technology: An empirical study from China. Journal of Hospitality & Tourism Research, 46(2), 370–399. https://doi.org/10.1177/1096348020988323
73.
ZhuJ. (2022). DEA under big data: Data enabled analytics and network data envelopment analysis. Annals of Operations Research, 309(2), 761–783. https://doi.org/10.1007/s10479-020-03668-8
74.
ZhuW.YuY.SunP. (2018). Data envelopment analysis cross-like efficiency model for non-homogeneous decision-making units: The case of United States companies’ low-carbon investment to attain corporate sustainability. European Journal of Operational Research, 269(1), 99–110. https://doi.org/10.1016/j.ejor.2017.08.007
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