Resource heterogeneity is a key aspect of one of the most important theories of strategic management: the resource-based view of the firm. This theory suggests that the performance effects of a firm’s strategy depend on the firm’s individual resources and capabilities and the setting within which it is operating. In this article, we argue that the current methods for measuring hotel performance and its determinants may be inconsistent with this theory. To measure efficiency, hotels should be viewed as heterogeneous firms, and the relationships between determinants and performance must be assessed for each individual hotel rather than as an average across hotels. Accordingly, we use a random-effect Bayesian stochastic frontier model to estimate the profit frontier and the effect function of the inefficiency for each hotel. The results indicate that hotels tend to choose strategies based on the heterogeneous resources that maximize their performance in their individual statuses.
AignerD.LovellC. K.SchmidtP. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21-37. https://doi.org/10.1016/0304-4076(77)90052-5
2.
AissaS. B.GoaiedM. (2016). Determinants of Tunisian hotel profitability: The role of managerial efficiency. Tourism Management, 52(February), 478-487. https://doi.org/10.1016/j.tourman.2015.07.015
3.
AmitR.SchoemakerP. J. (1993). Strategic assets and organizational rent. Strategic Management Journal, 14(1), 33-46. https://doi.org/10.1002/smj.4250140105
4.
ArbeloA.Pérez-GómezP.Arbelo-PérezM. (2018). Estimating efficiency and its determinants in the hotel sector using a profit function. Current Issues in Tourism, 21(8), 863-876. https://doi.org/10.1080/13683500.2017.1293622
5.
ArbeloA.Pérez-GómezP.González-DávilaE.Rosa-GonzálezF. M. (2017). Cost and profit efficiencies in the Spanish hotel industry. Journal of Hospitality & Tourism Research, 41(8), 985-1006. https://doi.org/10.1177/1096348015587999
AssafA. (2011). A fresh look at the productivity and efficiency changes of UK airlines. Applied Economics, 43(17), 2165-2175. https://doi.org/10.1080/00036840903085071
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
10.
AssafA.CvelbarK. L. (2011). Privatization, market competition, international attractiveness, management tenure and hotel performance: Evidence from Slovenia. International Journal of Hospitality Management, 30(2), 391-397. https://doi.org/10.1016/j.ijhm.2010.03.012
11.
AssafA.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
12.
AssafA.OhH.TsionasM. (2017). Bayesian approach for the measurement of tourism performance: A case of stochastic frontier models. Journal of Travel Research, 56(2), 172-186. https://doi.org/10.1177/0047287516633528
13.
AssafA. G.JosiassenA.WooL.AgbolaF. W.TsionasM. (2017). Destination characteristics that drive hotel performance: A state-of-the-art global analysis. Tourism Management, 60(June), 270-279. https://doi.org/10.1016/j.tourman.2016.12.010
BarneyJ. B. (1986). Strategic factor markets: Expectations, luck, and business strategy. Management Science, 32(10), 1231-1241. https://doi.org/10.1287/mnsc.32.10.1231
16.
BarrosC. P.MascarenhasM. J. (2005). Technical and allocative efficiency in a chain of small hotels. International journal of hospitality management, 24(3), 415-436. https://doi.org/10.1016/j.ijhm.2004.08.007
17.
BerniniC.GuizzardiA. (2010). Internal and locational factors affecting hotel industry efficiency: evidence from Italian business corporations. Tourism Economics, 16(4), 883-913. https://doi.org/10.5367/te.2010.0008
18.
BerniniC.GuizzardiA. (2015). Improving performance measurement and benchmarking in the accommodation sector. InternationalJournal of Contemporary Hospitality Management, 27(5), 980-1002. https://doi.org/10.1108/IJCHM-12-2013-0549
19.
BiggsT. (2002). Is small beautiful and worthy of subsidy? Literature review. International Finance Corporation.
CavesR. E.PorterM. E. (1977). From entry barriers to mobility barriers: Conjectural decisions and contrived deterrence to new competition. Quarterly Journal of Economics, 91(2), 241-261. https://doi.org/10.2307/1885416
22.
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
23.
CharoenratT.HarvieC. (2014). The efficiency of SMEs in Thai manufacturing: A stochastic frontier analysis. Economic Modelling, 43(December), 372-393. https://doi.org/10.1016/j.econmod.2014.08.009
24.
ChenC. F. (2007). Applying the stochastic frontier approach to measure hotel managerial efficiency in Taiwan. Tourism Management, 28(3), 696-702. https://doi.org/10.1016/j.tourman.2006.04.023
25.
ChenC. M.DelmasM. A.LiebermanM. B. (2015). Production frontier methodologies and efficiency as a performance measure in strategic management research. Strategic Management Journal, 36(1), 19-36. https://doi.org/10.1002/smj.2199
26.
ChenZ.BarrosC. P.BorgesM. R. (2015). A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies. Energy Economics, 48(March), 136-144. https://doi.org/10.1016/j.eneco.2014.12.020
27.
ChenZ.BarrosC. P.HouX. (2016). Has the medical reform improved the cost efficiency of Chinese hospitals?Social Science Journal, 53(4), 510-520. https://doi.org/10.1016/j.soscij.2016.04.006
28.
CoelliT. J.RaoD. S. P.O’DonnellC. J.BatteseG. E. (2005). An introduction to efficiency and productivity analysis. Springer Science & Business Media.
29.
ConnerK. R. (1991). A historical comparison of resource-based theory and five schools of thought within industrial organization economics: Do we have a new theory of the firm?Journal of Management, 17(1), 121-154. https://doi.org/10.1177/014920639101700109
30.
DattaD. K.GuthrieJ. P.WrightP. M. (2005). Human resource management and labor productivity: Does industry matter?Academy of Management Journal, 48(1), 135-145. https://doi.org/10.5465/amj.2005.15993158
31.
De JorgeJ.SuárezC. (2014). Productivity, efficiency and its determinant factors in hotels. Service Industries Journal, 34(4), 354-372. https://doi.org/10.1080/02642069.2013.778977
32.
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
HansenM. H.PerryL. T.ReeseC. S. (2004). A Bayesian operationalization of the resource-based view. Strategic Management Journal, 25(13), 1279-1295. https://doi.org/10.1002/smj.432
35.
HuJ. L.ChiuC. N.ShiehH. S.HuangC. H. (2010). A stochastic cost efficiency analysis of international tourist hotels in Taiwan. International Journal of Hospitality Management, 29(1), 99-107. https://doi.org/10.1016/j.ijhm.2009.06.005
KoopG.SteelM. F. J.OsiewalskiJ. (1995). Posterior analysis of stochastic frontier models using Gibbs sampling. Computational Statistics, 10, 353-373.
38.
KoopG.OsiewalskiJ.SteelM. F. (1997). Bayesian efficiency analysis through individual effects: Hospital cost frontiers. Journal of Econometrics, 76(1), 77-105. https://doi.org/10.1023/B:PROD.0000022094.39915.cf
39.
KumbhakarS. C.LovellC. K. (2003). Stochastic frontier analysis. Cambridge University Press.
40.
MackeyT. B.BarneyJ.DotsonJ. (2017). Corporate diversification and the value of individual firms: A Bayesian approach. Strategic Management Journal, 38(2), 322-341. https://doi.org/10.1002/smj.2480
McWilliamsA.SmartD. L. (1993). Efficiency v. structure-conduct-performance: Implications for strategy research and practice. Journal of Management, 19(1), 63-78. https://doi.org/10.1177/014920639301900105
43.
MeeusenW.van den BroeckJ. (1977). Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review, 18(2), 435-444. https://doi.org/10.2307/2525757
44.
NickellS. J. (1996). Competition and corporate performance. Journal of Political Economy, 104(4), 724-746. https://doi.org/10.1086/262040
45.
O’DonnellC. J.RaoD. P.BatteseG. E. (2008). Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empirical Economics, 34(2), 231-255. https://doi.org/10.1007/s00181-007-0119-4
46.
OliveiraR.PedroM. I.MarquesR. C. (2013). Efficiency and its determinants in Portuguese hotels in the Algarve. Tourism Management, 36(June), 641-649. https://doi.org/10.1016/j.tourman.2012.06.009
47.
Pérez-RodríguezJ. V.Acosta-GonzálezE. (2007). Cost efficiency of the lodging industry in the tourist destination of Gran Canaria (Spain). Tourism Management, 28(4), 993-1005. https://doi.org/10.1016/j.tourman.2006.08.007
48.
PeterafM. A. (1993). The cornerstones of competitive advantage: A resource-based view. Strategic Management Journal, 14(3), 179-191. https://doi.org/10.1002/smj.4250140303
49.
PorterM. E. (1980). Competitive strategy. Free Press.
50.
PorterM. E. (1981). The contributions of industrial organization to strategic management. Academy of Management Review, 6(4), 609-620. https://doi.org/10.5465/amr.1981.4285706
51.
PorterM. E. (1985). Competitive advantage. Free Press.
52.
RosA. J. (1999). Does ownership or competition matter? The effects of telecommunications reform on network expansion and efficiency. Journal of Regulatory Economics, 15(1), 65-92.
53.
RumeltR. P. (1984). Towards a strategic theory of the firm. In LambR. (Ed.), Competitive strategic management (pp. 556-570). Prentice Hall.
SpanosY. E.LioukasS. (2001). An examination into the causal logic of rent generation: Contrasting Porter’s competitive strategy framework and the resource-based perspective. Strategic Management Journal, 22(10), 907-934. https://doi.org/10.1002/smj.174
56.
SuchD.MendietaP. (2013). Size, efficiency and productivity in the Spanish hotel industry-independent properties versus chain-affiliated hotels. Tourism Economics, 19(4), 801-809. https://doi.org/10.5367/te.2013.0320
57.
TsionasE. G. (2002). Stochastic frontier models with random coefficients. Journal of Applied Econometrics, 17(2), 127-147. https://doi.org/10.1002/jae.637
58.
UN World Tourism Organization. (2018). World tourism barometer.
59.
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(December), 1-11. https://doi.org/10.1016/j.tourman.2018.05.003
60.
WalheerB.ZhangL.LuoY. (2019). Bidirectional technological spillover in the Chinese star-rated hotel sector: An empirical investigation. Economic Modelling, 86(March), 210-226. https://doi.org/10.1016/j.econmod.2019.06.013
61.
WangF. C.HungW. T.ShangJ. K. (2006). Measuring the cost efficiency of international tourist hotels in Taiwan. Tourism Economics, 12(1), 65-85. https://doi.org/10.5367/000000006776387150
YangZ.CaiJ. (2016). Do regional factors matter? Determinants of hotel industry performance in China. Tourism Management, 52(February), 242-253. https://doi.org/10.1016/j.tourman.2015.06.024
65.
YangZ.XiaL.ChengZ. (2017). Performance of Chinese hotel segment markets: Efficiencies measure based on both endogenous and exogenous factors. Journal of Hospitality & Tourism Management, 32(September), 12-23. https://doi.org/10.1016/j.jhtm.2017.04.007
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