Araştırma Makalesi
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Yıl 2025, Cilt: 43 Sayı: 1, 250 - 259, 28.02.2025

Müberra Terzi Kumandaş , Akın Özdemir Sermin Elevli

Öz

Kaynakça

  • REFERENCES
  • [1] Kandampully J, Duddy R. Service System. Int J Hosp Tour Adm 2001;2:27–47. [CrossRef]
  • [2] Mauri AG. Yield management and perceptions of fairness in the hotel business. Int Rev Econ 2007;54:284–293. [CrossRef]
  • [3] Song K-S. Simultaneous statistical modelling of excess zeros, over/underdispersion, and multimodality with applications in hotel industry. J Appl Stat 2021;48:1603–1627. [CrossRef]
  • [4] Gürel A, Kayar Y. The place of revenue management in the service sector. J Anadolu Bil Vocat School Higher Educ 2016;44:1–16. [Turkish]
  • [5] Huertas‐Garcia R, Laguna García M, Consolación C. Conjoint analysis of tourist choice of hotel attributes presented in travel agent brochures. Int J Tour Res 2014;16:65–75. [CrossRef]
  • [6] Kim J, Kim PB, Kim J-E, Magnini VP. Application of construal-level theory to promotional strategies in the hotel industry. J Travel Res 2016;55:340–352. [CrossRef]
  • [7] Tsai H, Yeung S, Yim PHL. Hotel selection criteria used by mainland Chinese and foreign individual travelers to Hong Kong. Int J Hosp Tour Adm 2011;12:252–267. [CrossRef]
  • [8] Callan RJ. Attributional analysis of customers’ hotel selection criteria by UK grading scheme categories. J Travel Res 1998;36:20–34. [CrossRef]
  • [9] Woodman H. Travelers’ Top Criteria for Choosing a Hotel. 2022. Available at: https://www.hospitalitynet. org/news/4080231.html Accessed Jan 21, 2022.
  • [10] Zaman M, Botti L, Vo-Thanh T. Weight of criteria in hotel selection: An empirical illustration based on TripAdvisor criteria. Eur J Tour Res 2016;13:132– 138. [CrossRef]
  • [11] Li G, Law R, Vu HQ, Rong J. Discovering the hotel selection preferences of Hong Kong inbound travelers using the Choquet Integral. Tour Manag 2013;36:321–330. [CrossRef]
  • [12] Casado-Díaz AB, Andreu L, Beckmann SC, Miller C. Negative online reviews and webcare strategies in social media: effects on hotel attitude and booking intentions. Curr Issues Tourism 2020;23:418–422. [CrossRef]
  • [13] Kim M, Lee SK, Roehl WS. Competitive price interactions and strategic responses in the lodging market. Tour Manag 2018;68:210–219. [CrossRef]
  • [14] Abrate G, Quinton S, Pera R. The relationship between price paid and hotel review ratings: expectancy- disconfirmation or placebo effect. Tour Manag 2021;85:104314. [CrossRef]
  • [15] Zhang H, Zhang J, Lu S, Cheng S, Zhang J. Modeling hotel room price with geographically weighted regression. Int J Hosp Manag 2011;30:1036–1043. [CrossRef]
  • [16] Arzaghi M, Genc IH, Naik S. Clustering and hotel room prices in Dubai. Tour Econ 2022;29:116–136. [CrossRef]
  • [17] Kim J, Jang S, Kang S, Kim SJ. Why are hotel room prices different? Exploring spatially varying relationships between room price and hotel attributes. J Bus Res 2020;107:118–129. [CrossRef]
  • [18] Castro C, Ferreira FA. Effects of hotel characteristics on room rates in Porto: a hedonic price approach. in Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014 (Icnaam-2014). 2015. Rhodes, Greece: AIP Publishing LLC. [CrossRef]
  • [19] Coenders G, Espinet J, Saez M. Predicting random level and seasonality of hotel prices: A latent growth curve approach. Tour Anal 2003;8:15–31. [CrossRef]
  • [20] Li M, Y Chen, J Wang, T Liu. Children’s attention toward cartoon executed photos. Ann Tour Res 2020;80:102799. [CrossRef]
  • [21] Tigre Moura F, Gnoth J, Deans KR. Localizing cultural values on tourism destination websites: The effects on users’ willingness to travel and destination image. J Travel Res 2015;54:528–542. [CrossRef]
  • [22] Tussyadiah I, Miller G. Nudged by a robot: Responses to agency and feedback. Ann Tour Res 2019;78:102752. [CrossRef]
  • [23] Karl M, Kock F, Bauer A, Ritchie BW, Assaf AG. When the future is now: An experimental study on the role of future thinking and affective forecasting in accommodation decision-making. J Travel Res 2022;62:969–988. [CrossRef]
  • [24] Huang H, Liu SQ, Kandampully J, Bujisic M. Consumer responses to scarcity appeals in online booking. Ann Tour Res 2020;80:102800. [CrossRef]
  • [25] Ngai E, Wat F. Design and development of a fuzzy expert system for hotel selection. Omega 2003;31:275–286. [CrossRef]
  • [26] Chen C-C, Schwartz Z, Vargas P. The search for the best deal: How hotel cancellation policies affect the search and booking decisions of deal-seeking customers. Int J Hosp Manag 2011;30:129–135. [CrossRef]
  • [27] Casalo LV, Flavian C, Guinaliu M, Ekinci Y. Do online hotel rating schemes influence booking behaviors? Int J Hosp Manag 2015;49:28–36. [CrossRef]
  • [28] Masiero L, Pan B, Heo CY. Asymmetric preference in hotel room choice and implications on revenue management. Int J Hosp Manag 2016;56:18–27. [CrossRef]
  • [29] Park K, Ha J, Park J-Y. An experimental investigation on the determinants of online hotel booking intention. J Hosp Tour Manag 2017;26:627–643. [CrossRef]
  • [30] Gavilan D, Avello M, Martinez-Navarro G. The influence of online ratings and reviews on hotel booking consideration. Tour Manag 2018;66:53–61. [CrossRef]
  • [31] Vinzenz F. The added value of rating pictograms for sustainable hotels in classified ads. Tour Manag Perspect 2019;29:56–65. [CrossRef]
  • [32] Kwok PK, Lau HY. Hotel selection using a modified TOPSIS-based decision support algorithm. Decis Support Syst 2019;120:95–105. [CrossRef]
  • [33] Liang X, Liu P, Wang Z. Hotel selection utilizing online reviews: A novel decision support model based on sentiment analysis and DL-VIKOR method. Technol Econ Dev 2019;25:1139–1161. [CrossRef]
  • [34] Ulucan E. The hotel site selection: Determining locational factors by fuzzy TOPSIS. Eur J Tour Hosp Recr 2020;10:213–228. [CrossRef]
  • [35] Dogan M, Erdogan BZ. Effects of congruence between individuals’ and hotel commercials’ construal levels on purchase intentions. J Hosp Tour Manag 2020;29:987–1007. [CrossRef]
  • [36] Wang X-K, Wang S-H, Zhang H-Y, Wang J-Q, Li L. The recommendation method for hotel selection under traveller preference characteristics: A cloudbased multi-criteria group decision support model. Group Decis Negot 2021;30:1433–1469. [CrossRef]
  • [37] Guo R, Li H. Can the amount of information and information presentation reduce choice overload? An empirical study of online hotel booking. J Travel Tour Mark 2022;39:87–108. [CrossRef]
  • [38] Keller P. Six Sigma Demystified. New York: Mc Graw Hill; 2005.
  • [39] Bingöl D, Saraydin D, Özbay DŞ. Full factorial design approach to Hg (II) adsorption onto hydrogels. Arab J Sci Eng 2015;40:109–116. [CrossRef]
  • [40] Akgemci T, Aslan D, Baray A, Bayraktar E, Beşkese A, Beşkese B, et al. Management of Production and Service Processes Istanbul: Çağlayan Kitapevi; 2007. [Turkish]
  • [41] Montgomery DC. Introduction to statistical quality control. Chichester, UK: John Wiley & Sons; 2020.
  • [42] Gygi C, DeCarlo N, Williams B. Six Sigma for Dummies. Hoboken, New Jersey, U.S.: Wiley; 2005.
  • [43] Viglia G, Dolnicar S. A review of experiments in tourism and hospitality. Ann Tour Res 2020;80:102858. [CrossRef]
  • [44] Derringer G, Suich R. Simultaneous optimization of several response variables. J Qual Technol 1980;12:214–219. [CrossRef]
  • [45] Li D, Sun X. Nonlinear İnteger Programming. Vol. 84. Midtown Manhattan, New York City: Springer; 2006.
  • [46] Bank TD. Hotel Bed Capacities in Türkiye. 2021 Available at: https://www.turizmdatabank.com/2021de-turkiye-otel-yatagi-sayisi-3/ Accessed Feb 03, 2022.
  • [47] Mody MA, Jung S, Dogru T, Suess C. How do consumers select between hotels and Airbnb? A hierarchy of importance in accommodation choice. Int J Contemp Hosp Manag 2023;35:1191–1218. [CrossRef]
  • [48] Israeli AA. Star rating and corporate affiliation: their influence on room price and performance of hotels in Israel. Int J Hosp Manag 2002;21:405–424. [CrossRef]
  • [49] Islambekova Z. The opportunities of accessible tourism for disabled people. MPRA Paper No. 108520, 2021. p. 234–239.
  • [50] Li H, Ye Q, Law R. Determinants of customer satisfaction in the hotel industry: An application of online review analysis. Asia Pac J Tour Res 2013;18:784–802. [CrossRef]
  • [51] Radojevic T, Stanisic N, Stanic N. Ensuring positive feedback: Factors that influence customer satisfaction in the contemporary hospitality industry. Tour Manag 2015;51:13–21. [CrossRef]
  • [52] Martin-Fuentes E. Are guests of the same opinion as the hotel star-rate classification system? J Hosp Tour Manag 2016;29:126–134. [CrossRef]
  • [53] Radojevic T, Stanisic N, Stanic N. Inside the rating scores: A multilevel analysis of the factors influencing customer satisfaction in the hotel industry. Cornell Hosp Q 2017;58:134–164. [CrossRef]

A full factorial experimental design-based approach to determine hotel room pricing: The case of Antalya, Türkiye

Yıl 2025, Cilt: 43 Sayı: 1, 250 - 259, 28.02.2025

Müberra Terzi Kumandaş , Akın Özdemir Sermin Elevli

Öz

A revenue-maximizing strategy is an important part of yield management to maximize the service capacity. Specifically, determining hotel room pricing plays a crucial role in maximizing revenue in a highly competitive environment. Therefore, this study proposed an approach based on full factorial experimental design to analyze the effects of qualitative design factors on hotel room pricing. The aim of this paper is three-fold. First, a factorial design was selected to analyze the effects of the four important qualitative design factors (the customer’s evaluation, the number of stars, disabled-friendly, and the free cancellation) on hotel room pricing. Second, an estimated regression function was obtained to determine the estimated hotel pricing. Additionally, a pure integer programming model was proposed to obtain the optimum settings of the four qualitative design factors using the desirability function. Furthermore, a nonlinear integer programming model was presented based on a 2n factorial design for comparison purposes. Third, a case study was presented to determine hotel room pricing in Antalya, Türkiye. According to the results obtained from the case study, the most important qualitative design factor, among others, is the number of stars. The qualitative factors used in the study explain 60.97% of the variation in hotel room prices. In the presented models, it has been determined that the minimum and maximum room prices should be 35 $ and 404 $, respectively. Also, the minimum and maximum room prices determined in both models were consistent, and the optimum results were confirmed. The findings obtained in the study can guide hotel managers in determining appropriate hotel room prices.

Anahtar Kelimeler

Design of Experiment Factorial Design Optimization Tourism Yield Management

Kaynakça

  • REFERENCES
  • [1] Kandampully J, Duddy R. Service System. Int J Hosp Tour Adm 2001;2:27–47. [CrossRef]
  • [2] Mauri AG. Yield management and perceptions of fairness in the hotel business. Int Rev Econ 2007;54:284–293. [CrossRef]
  • [3] Song K-S. Simultaneous statistical modelling of excess zeros, over/underdispersion, and multimodality with applications in hotel industry. J Appl Stat 2021;48:1603–1627. [CrossRef]
  • [4] Gürel A, Kayar Y. The place of revenue management in the service sector. J Anadolu Bil Vocat School Higher Educ 2016;44:1–16. [Turkish]
  • [5] Huertas‐Garcia R, Laguna García M, Consolación C. Conjoint analysis of tourist choice of hotel attributes presented in travel agent brochures. Int J Tour Res 2014;16:65–75. [CrossRef]
  • [6] Kim J, Kim PB, Kim J-E, Magnini VP. Application of construal-level theory to promotional strategies in the hotel industry. J Travel Res 2016;55:340–352. [CrossRef]
  • [7] Tsai H, Yeung S, Yim PHL. Hotel selection criteria used by mainland Chinese and foreign individual travelers to Hong Kong. Int J Hosp Tour Adm 2011;12:252–267. [CrossRef]
  • [8] Callan RJ. Attributional analysis of customers’ hotel selection criteria by UK grading scheme categories. J Travel Res 1998;36:20–34. [CrossRef]
  • [9] Woodman H. Travelers’ Top Criteria for Choosing a Hotel. 2022. Available at: https://www.hospitalitynet. org/news/4080231.html Accessed Jan 21, 2022.
  • [10] Zaman M, Botti L, Vo-Thanh T. Weight of criteria in hotel selection: An empirical illustration based on TripAdvisor criteria. Eur J Tour Res 2016;13:132– 138. [CrossRef]
  • [11] Li G, Law R, Vu HQ, Rong J. Discovering the hotel selection preferences of Hong Kong inbound travelers using the Choquet Integral. Tour Manag 2013;36:321–330. [CrossRef]
  • [12] Casado-Díaz AB, Andreu L, Beckmann SC, Miller C. Negative online reviews and webcare strategies in social media: effects on hotel attitude and booking intentions. Curr Issues Tourism 2020;23:418–422. [CrossRef]
  • [13] Kim M, Lee SK, Roehl WS. Competitive price interactions and strategic responses in the lodging market. Tour Manag 2018;68:210–219. [CrossRef]
  • [14] Abrate G, Quinton S, Pera R. The relationship between price paid and hotel review ratings: expectancy- disconfirmation or placebo effect. Tour Manag 2021;85:104314. [CrossRef]
  • [15] Zhang H, Zhang J, Lu S, Cheng S, Zhang J. Modeling hotel room price with geographically weighted regression. Int J Hosp Manag 2011;30:1036–1043. [CrossRef]
  • [16] Arzaghi M, Genc IH, Naik S. Clustering and hotel room prices in Dubai. Tour Econ 2022;29:116–136. [CrossRef]
  • [17] Kim J, Jang S, Kang S, Kim SJ. Why are hotel room prices different? Exploring spatially varying relationships between room price and hotel attributes. J Bus Res 2020;107:118–129. [CrossRef]
  • [18] Castro C, Ferreira FA. Effects of hotel characteristics on room rates in Porto: a hedonic price approach. in Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014 (Icnaam-2014). 2015. Rhodes, Greece: AIP Publishing LLC. [CrossRef]
  • [19] Coenders G, Espinet J, Saez M. Predicting random level and seasonality of hotel prices: A latent growth curve approach. Tour Anal 2003;8:15–31. [CrossRef]
  • [20] Li M, Y Chen, J Wang, T Liu. Children’s attention toward cartoon executed photos. Ann Tour Res 2020;80:102799. [CrossRef]
  • [21] Tigre Moura F, Gnoth J, Deans KR. Localizing cultural values on tourism destination websites: The effects on users’ willingness to travel and destination image. J Travel Res 2015;54:528–542. [CrossRef]
  • [22] Tussyadiah I, Miller G. Nudged by a robot: Responses to agency and feedback. Ann Tour Res 2019;78:102752. [CrossRef]
  • [23] Karl M, Kock F, Bauer A, Ritchie BW, Assaf AG. When the future is now: An experimental study on the role of future thinking and affective forecasting in accommodation decision-making. J Travel Res 2022;62:969–988. [CrossRef]
  • [24] Huang H, Liu SQ, Kandampully J, Bujisic M. Consumer responses to scarcity appeals in online booking. Ann Tour Res 2020;80:102800. [CrossRef]
  • [25] Ngai E, Wat F. Design and development of a fuzzy expert system for hotel selection. Omega 2003;31:275–286. [CrossRef]
  • [26] Chen C-C, Schwartz Z, Vargas P. The search for the best deal: How hotel cancellation policies affect the search and booking decisions of deal-seeking customers. Int J Hosp Manag 2011;30:129–135. [CrossRef]
  • [27] Casalo LV, Flavian C, Guinaliu M, Ekinci Y. Do online hotel rating schemes influence booking behaviors? Int J Hosp Manag 2015;49:28–36. [CrossRef]
  • [28] Masiero L, Pan B, Heo CY. Asymmetric preference in hotel room choice and implications on revenue management. Int J Hosp Manag 2016;56:18–27. [CrossRef]
  • [29] Park K, Ha J, Park J-Y. An experimental investigation on the determinants of online hotel booking intention. J Hosp Tour Manag 2017;26:627–643. [CrossRef]
  • [30] Gavilan D, Avello M, Martinez-Navarro G. The influence of online ratings and reviews on hotel booking consideration. Tour Manag 2018;66:53–61. [CrossRef]
  • [31] Vinzenz F. The added value of rating pictograms for sustainable hotels in classified ads. Tour Manag Perspect 2019;29:56–65. [CrossRef]
  • [32] Kwok PK, Lau HY. Hotel selection using a modified TOPSIS-based decision support algorithm. Decis Support Syst 2019;120:95–105. [CrossRef]
  • [33] Liang X, Liu P, Wang Z. Hotel selection utilizing online reviews: A novel decision support model based on sentiment analysis and DL-VIKOR method. Technol Econ Dev 2019;25:1139–1161. [CrossRef]
  • [34] Ulucan E. The hotel site selection: Determining locational factors by fuzzy TOPSIS. Eur J Tour Hosp Recr 2020;10:213–228. [CrossRef]
  • [35] Dogan M, Erdogan BZ. Effects of congruence between individuals’ and hotel commercials’ construal levels on purchase intentions. J Hosp Tour Manag 2020;29:987–1007. [CrossRef]
  • [36] Wang X-K, Wang S-H, Zhang H-Y, Wang J-Q, Li L. The recommendation method for hotel selection under traveller preference characteristics: A cloudbased multi-criteria group decision support model. Group Decis Negot 2021;30:1433–1469. [CrossRef]
  • [37] Guo R, Li H. Can the amount of information and information presentation reduce choice overload? An empirical study of online hotel booking. J Travel Tour Mark 2022;39:87–108. [CrossRef]
  • [38] Keller P. Six Sigma Demystified. New York: Mc Graw Hill; 2005.
  • [39] Bingöl D, Saraydin D, Özbay DŞ. Full factorial design approach to Hg (II) adsorption onto hydrogels. Arab J Sci Eng 2015;40:109–116. [CrossRef]
  • [40] Akgemci T, Aslan D, Baray A, Bayraktar E, Beşkese A, Beşkese B, et al. Management of Production and Service Processes Istanbul: Çağlayan Kitapevi; 2007. [Turkish]
  • [41] Montgomery DC. Introduction to statistical quality control. Chichester, UK: John Wiley & Sons; 2020.
  • [42] Gygi C, DeCarlo N, Williams B. Six Sigma for Dummies. Hoboken, New Jersey, U.S.: Wiley; 2005.
  • [43] Viglia G, Dolnicar S. A review of experiments in tourism and hospitality. Ann Tour Res 2020;80:102858. [CrossRef]
  • [44] Derringer G, Suich R. Simultaneous optimization of several response variables. J Qual Technol 1980;12:214–219. [CrossRef]
  • [45] Li D, Sun X. Nonlinear İnteger Programming. Vol. 84. Midtown Manhattan, New York City: Springer; 2006.
  • [46] Bank TD. Hotel Bed Capacities in Türkiye. 2021 Available at: https://www.turizmdatabank.com/2021de-turkiye-otel-yatagi-sayisi-3/ Accessed Feb 03, 2022.
  • [47] Mody MA, Jung S, Dogru T, Suess C. How do consumers select between hotels and Airbnb? A hierarchy of importance in accommodation choice. Int J Contemp Hosp Manag 2023;35:1191–1218. [CrossRef]
  • [48] Israeli AA. Star rating and corporate affiliation: their influence on room price and performance of hotels in Israel. Int J Hosp Manag 2002;21:405–424. [CrossRef]
  • [49] Islambekova Z. The opportunities of accessible tourism for disabled people. MPRA Paper No. 108520, 2021. p. 234–239.
  • [50] Li H, Ye Q, Law R. Determinants of customer satisfaction in the hotel industry: An application of online review analysis. Asia Pac J Tour Res 2013;18:784–802. [CrossRef]
  • [51] Radojevic T, Stanisic N, Stanic N. Ensuring positive feedback: Factors that influence customer satisfaction in the contemporary hospitality industry. Tour Manag 2015;51:13–21. [CrossRef]
  • [52] Martin-Fuentes E. Are guests of the same opinion as the hotel star-rate classification system? J Hosp Tour Manag 2016;29:126–134. [CrossRef]
  • [53] Radojevic T, Stanisic N, Stanic N. Inside the rating scores: A multilevel analysis of the factors influencing customer satisfaction in the hotel industry. Cornell Hosp Q 2017;58:134–164. [CrossRef]
Toplam 54 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Klinik Kimya
Bölüm Research Articles
Yazarlar

Müberra Terzi Kumandaş 0000-0002-3939-4268

Akın Özdemir

Sermin Elevli

Yayımlanma Tarihi 28 Şubat 2025
Gönderilme Tarihi 5 Eylül 2023
Yayımlandığı Sayı Yıl 2025 Cilt: 43 Sayı: 1

Kaynak Göster

Vancouver Terzi Kumandaş M, Özdemir A, Elevli S. A full factorial experimental design-based approach to determine hotel room pricing: The case of Antalya, Türkiye. SIGMA. 2025;43(1):250-9.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/