Uncovering online travel agency antecedents and their consequences in terms of consumer behavior: A retrospective analysis for future research
DOI:
https://doi.org/10.18778/0867-5856.34.2.03Keywords:
online travel agencies, consumer behavior, influencing factors, antecedents, consequencesAbstract
The popularity of online travel agencies (OTAs) has been fueled by the growing use of internet technologies and the services they provide, and this makes it crucial to investigate consumer behavior (CB) towards them. The aim of the work is to identify the influencing factors/variables which affect CB and to provide empirical guidance on OTA antecedents and their consequences in terms of CB, based on a review of the existing literature using PRISMA protocol. An analysis of the 77 most pertinent articles has given a more thorough understanding of this revealing the most common influencing factors/variables (information, price, features, quality, customization & filters, user friendliness, etc.) used to measure the CB towards OTAs. Nevertheless, monetary value, trustworthiness, perceived value, website quality, electronic word of mouth (e-WOM), service quality and information value are the most common antecedents, with customer purchase intention, satisfaction and loyalty as major consequences in terms of CB. This article represents the first effort to conduct a thorough literature evaluation of the influencing factors/variables, antecedents and consequences for CB. A greater grasp of these three aspects in the tourism sector can be helpful to researchers and to managers in the hospitality industry as well.
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Aeknarajindawat, N. (2019). The factors influencing tourists’ online hotel reservations in Thailand: An empirical study. International Journal of Innovation, Creativity and Change, 10(1), 121–136. https://www.ijicc.net/images/vol10iss1/10120_Aeknarajindawat_2019_E_R.pdf
Albayrak, T., Karasakal, S., Kocabulut, Ö., & Dursun, A. (2020). Customer loyalty towards travel agency websites: The role of trust and hedonic value. Journal of Quality Assurance in Hospitality & Tourism, 21(1), 50–77. https://doi.org/10.1080/1528008X.2019.1619497 DOI: https://doi.org/10.1080/1528008X.2019.1619497
Alderighi, M., Nava, C.R., Calabrese, M., Christille, J.-M., & Salvemini, C.B. (2022). Consumer perception of price fairness and dynamic pricing: Evidence from Booking.com. Journal of Business Research, 145, 769–783. https://doi.org/10.1016/j.jbusres.2022.03.017 DOI: https://doi.org/10.1016/j.jbusres.2022.03.017
Ali, F. (2016). Hotel website quality, perceived flow, customer satisfaction and purchase intention. Journal of Hospitality and Tourism Technology, 7(2), 213–228. https://doi.org/10.1108/JHTT-02-2016-0010 DOI: https://doi.org/10.1108/JHTT-02-2016-0010
Berbegal-Mirabent, J., Mas-Machuca, M., & Marimon, F. (2016). Antecedents of online purchasing behaviour in the tourism sector. Industrial Management & Data Systems, 116(1), 87–102. https://doi.org/10.1108/IMDS-05-2015-0213 DOI: https://doi.org/10.1108/IMDS-05-2015-0213
Bernardo, M., Llach, J., Marimon, F., & Alonso-Almeida, M.M. (2013). The balance of the impact of quality and recovery on satisfaction: The case of e-travel. Total Quality Management & Business Excellence, 24(11–12), 1390–1404. https://doi.org/10.1080/14783363.2013.799327 DOI: https://doi.org/10.1080/14783363.2013.799327
Bernardo, M., Marimon, F., & del Mar Alonso-Almeida, M. (2012). Functional quality and hedonic quality: A study of the dimensions of e-service quality in online travel agencies. Information & Management, 49(7–8), 342–347. https://doi.org/10.1016/j.im.2012.06.005 DOI: https://doi.org/10.1016/j.im.2012.06.005
Buhalis, D., & Law, R. (2008). Progress in information technology and tourism management: 20 years on and 10 years after the Internet: The state of etourism research. Tourism Management, 29(4), 609–623. https://doi.org/10.1016/j.tourman.2008.01.005 DOI: https://doi.org/10.1016/j.tourman.2008.01.005
Buhalis, D., & Sinarta, Y. (2019). Real-time co-creation and nowness service: Lessons from tourism and hospitality. Journal of Travel & Tourism Marketing, 36(5), 563–582. https://doi.org/10.1080/10548408.2019.1592059 DOI: https://doi.org/10.1080/10548408.2019.1592059
Cai, D., Li, H., & Law, R. (2022). Anthropomorphism and OTA chatbot adoption: A mixed methods study. Journal of Travel & Tourism Marketing, 39(2), 228–255. https://doi.org/10.1080/10548408.2022.2061672 DOI: https://doi.org/10.1080/10548408.2022.2061672
Casaló, L.V., & Romero, J. (2019). Social media promotions and travelers’ value-creating behaviors: The role of perceived support. International Journal of Contemporary Hospitality Management, 31(2), 633–650. https://doi.org/10.1108/IJCHM-09-2017-0555 DOI: https://doi.org/10.1108/IJCHM-09-2017-0555
Chang, Y.-W., Hsu, P.-Y., & Lan, Y.-C. (2019). Cooperation and competition between online travel agencies and hotels. Tourism Management, 71, 187–196. https://doi.org/10.1016/j.tourman.2018.08.026 DOI: https://doi.org/10.1016/j.tourman.2018.08.026
Chang, Y.-W., Hsu, P.-Y., & Yang, Q.-M. (2018). Integration of online and offline channels: A view of O2O commerce. Internet Research, 28(4), 926–945. https://doi.org/10.1108/IntR-01-2017-0023 DOI: https://doi.org/10.1108/IntR-01-2017-0023
Chen, C., Xie, K., & Wang, S. (2017). The influence of incidental affect and mood-changing price on online booking intention. Journal of Hospitality and Tourism Technology, 8(3), 357–371. http://doi.org/10.1108/JHTT-07-2016-0036 DOI: https://doi.org/10.1108/JHTT-07-2016-0036
Chen, J.-S., Kamalanon, P., & Janupiboon, T.P. (2022). Company websites and mobile apps versus social media: Which service experience creates more customer value for online travel agencies? Service Business, 16(4), 1081–1110. https://doi.org/10.1007/s11628-022-00511-x DOI: https://doi.org/10.1007/s11628-022-00511-x
Chiou, W.-C., Lin, C.-C., & Perng, C. (2011). A strategic website evaluation of online travel agencies. Tourism Management, 32(6), 1463–1473. https://doi.org/10.1016/j.tourman.2010.12.007 DOI: https://doi.org/10.1016/j.tourman.2010.12.007
Christina, Y., & Yasa, N.N.K. (2021). Application of theory of planned behavior to study online booking behavior. International Journal of Data and Network Science, 5(3), 331–340. https://doi.org/10.5267/j.ijdns.2021.5.010 DOI: https://doi.org/10.5267/j.ijdns.2021.5.010
Cooper, C., Fletcher, J., Gilbert, D., & Wanhill, S. (1993). Tourism: Principles and practice. Pitman Publishing.
Dutta, S., Chauhan, R.K., & Chauhan, K. (2017). Factors affecting customer satisfaction of online travel agencies in India. Tourism and Hospitality Management, 23(2), 267–277. https://doi.org/10.20867/thm.23.2.3 DOI: https://doi.org/10.20867/thm.23.2.3
Engel, J.F., Blackwell, R.D., & Miniard, P.W. (1995). Consumer behavior (8th ed.). Dryden Press.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Adison-Wesley Publishing.
Fu Tsang, N.K., Lai, M.T.H., & Law, R. (2010). Measuring e-service quality for online travel agencies. Journal of Travel & Tourism Marketing, 27(3), 306–323. https://doi.org/10.1080/10548401003744743 DOI: https://doi.org/10.1080/10548401003744743
Gao, G.-X., & Bi, J.-W. (2021). Hotel booking through online travel agency: Optimal Stackelberg strategies under customer-centric payment service. Annals of Tourism Research, 86, Article 103074. https://doi.org/10.1016/j.annals.2020.103074 DOI: https://doi.org/10.1016/j.annals.2020.103074
Gao, H., & Zhan, M. (2023). Understanding factors influencing click-through decision in mobile OTA search engine systems. Journal of Theoretical and Applied Electronic Commerce Research, 18(1), 634–655. https://doi.org/10.3390/jtaer18010032 DOI: https://doi.org/10.3390/jtaer18010032
Gao, L., & Bai, X. (2014). Online consumer behaviour and its relationship to website atmospheric induced flow: Insights into online travel agencies in China. Journal of Retailing and Consumer Services, 21(4), 653–665. https://doi.org/10.1016/j.jretconser.2014.01.001 DOI: https://doi.org/10.1016/j.jretconser.2014.01.001
Giroux, M., Franklin, D., Kim, J., Park, J., & Kwak, K. (2022). The impact of same versus different price presentation on travel choice and the moderating role of childhood socioeconomic status. Journal of Travel Research, 61(3), 674–695. https://doi.org/10.1177/0047287520988903 DOI: https://doi.org/10.1177/0047287520988903
Gössling, S., Scott, D., & Hall, C.M. (2021). Pandemics, tourism and global change: A rapid assessment of COVID-19. Journal of Sustainable Tourism, 29(1), 1–20. https://doi.org/10.1080/09669582.2020.1758708 DOI: https://doi.org/10.1080/09669582.2020.1758708
Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015). Smart tourism: Foundations and developments. Electron Markets, 25, 179–188. https://doi.org/10.1007/s12525-015-0196-8 DOI: https://doi.org/10.1007/s12525-015-0196-8
Gu, B., & Ye, Q. (2014). First step in social media: Measuring the influence of online management responses on customer satisfaction. Production and Operations Management, 23(4), 570–582. https://doi.org/10.1111/poms.12043 DOI: https://doi.org/10.1111/poms.12043
Gu, C., & Wang, Y. (2022). Consumer online search with partially revealed information. Management Science, 68(6), 4215–4235. https://doi.org/10.1287/mnsc.2021.4104 DOI: https://doi.org/10.1287/mnsc.2021.4104
Ha, H.-Y. (2016). The evolution of brand personality: An application of online travel agencies. Journal of Services Marketing, 30(5), 529–540. https://doi.org/10.1108/JSM-05-2015-0188 DOI: https://doi.org/10.1108/JSM-05-2015-0188
Ha, H.-Y., & Janda, S. (2016). The evolution of expectations of and attitudes toward online travel agencies over time. Journal of Travel & Tourism Marketing, 33(7), 966–980. https://doi.org/10.1080/10548408.2015.1075457 DOI: https://doi.org/10.1080/10548408.2015.1075457
Han, S., & Anderson, C.K. (2022). The effect of private customer-manager social engagement upon online booking behavior. Cornell Hospitality Quarterly, 63(2), 141–151. https://doi.org/10.1177/1938965520975330 DOI: https://doi.org/10.1177/1938965520975330
Hao, J.-X., Yu, Y., Law, R., & Fong, D.K.C. (2015). A genetic algorithm-based learning approach to understand customer satisfaction with OTA websites. Tourism Management, 48, 231–241. https://doi.org/10.1016/j.tourman.2014.11.009 DOI: https://doi.org/10.1016/j.tourman.2014.11.009
Huang, C.-C., & Lan, Y.-C. (2021). Collaboration and competition in the online travel industry: A comparative study of China and Vietnam. Asia Pacific Journal of Tourism Research, 26(3), 277–293. https://doi.org/10.1080/10941665.2020.1862883 DOI: https://doi.org/10.1080/10941665.2020.1862883
Jo, H., Chung, N., Hlee, S., & Koo, C. (2022). Perceived affordances and regret in online travel agencies. Journal of Travel Research, 61(5), 1024–1042. https://doi.org/10.1177/00472875211014962 DOI: https://doi.org/10.1177/00472875211014962
Keller, K.L. (1993). Conceptualizing, measuring, and managing customer-based brand equity. Journal of Marketing, 57(1), 1–22. https://doi.org/10.1177/002224299305700101 DOI: https://doi.org/10.1177/002224299305700101
Kim, D.J., Kim, W.G., & Han, J.S. (2007). A perceptual mapping of online travel agencies and preference attributes. Tourism Management, 28(2), 591–603. https://doi.org/10.1016/j.tourman.2006.04.022 DOI: https://doi.org/10.1016/j.tourman.2006.04.022
Kim, J., Franklin, D., Phillips, M., & Hwang, E. (2020). Online travel agency price presentation: Examining the influence of price dispersion on travelers’ hotel preference. Journal of Travel Research, 59(4), 704–721. https://doi.org/10.1177/0047287519857159 DOI: https://doi.org/10.1177/0047287519857159
Kim, J.M., Jun, M., & Kim, C.K. (2018). The effects of culture on consumers’ consumption and generation of online reviews. Journal of Interactive Marketing, 43(1), 134–150. https://doi.org/10.1016/j.intmar.2018.05.002 DOI: https://doi.org/10.1016/j.intmar.2018.05.002
Kim, K.(K.)., Kim, W.G., & Lee, M. (2023). Impact of dark patterns on consumers’ perceived fairness and attitude: Moderating effects of types of dark patterns, social proof, and moral identity. Tourism Management, 98, Article 104763. https://doi.org/10.1016/j.tourman.2023.104763 DOI: https://doi.org/10.1016/j.tourman.2023.104763
Kim, W.G., & Lee, H.Y. (2005). Comparison of web service quality between online travel agencies and online travel suppliers. Journal of Travel & Tourism Marketing, 17(2–3), 105–116. https://doi.org/10.1300/J073v17n02_09 DOI: https://doi.org/10.1300/J073v17n02_09
Kotler, P.T., & Armstrong, G. (2016). Principles of marketing (16th ed.). Pearson.
Krawczyk, M., & Xiang, Z. (2016). Perceptual mapping of hotel brands using online reviews: A text analytics approach. Information Technology & Tourism, 16, 23–43. https://doi.org/10.1007/s40558-015-0033-0 DOI: https://doi.org/10.1007/s40558-015-0033-0
Ku, E.C.S., & Fan, Y.W. (2009). The decision making in selecting online travel agencies: An application of analytic hierarchy process. Journal of Travel & Tourism Marketing, 26(5–6), 482–493. https://doi.org/10.1080/10548400903163020 DOI: https://doi.org/10.1080/10548400903163020
Kurniati, W.D.A., Kristiadi, A.A., & Efendi. (2022). Determinants of purchase intention in online travel agent. African Journal of Hospitality, Tourism and Leisure, 11(4), 1642–1655. https://www.ajhtl.com/uploads/7/1/6/3/7163688/article_23_11_4_1642-1655.pdf
Lai, X., Wang, F., & Wang, X. (2021). Asymmetric relationship between customer sentiment and online hotel ratings: The moderating effects of review characteristics. International Journal of Contemporary Hospitality Management, 33(6), 2137–2156. https://doi.org/10.1108/IJCHM-07-2020-0708 DOI: https://doi.org/10.1108/IJCHM-07-2020-0708
Li, L., Lee, K.Y., Emokpae, E., & Yang, S.-B. (2021). What makes you continuously use chatbot services? Evidence from Chinese online travel agencies. Electronic Markets, 31, 575–599. https://doi.org/10.1007/s12525-020-00454-z DOI: https://doi.org/10.1007/s12525-020-00454-z
Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35, 464–478. https://doi.org/10.1016/j.chb.2014.03.022 DOI: https://doi.org/10.1016/j.chb.2014.03.022
Lim, W.M., Kumar, S., & Ali, F. (2022a). Advancing knowledge through literature reviews: ‘What’, ‘why’, and ‘how to contribute’. The Service Industries Journal, 42(7–8), 481–513. https://doi.org/10.1080/02642069.2022.2047941 DOI: https://doi.org/10.1080/02642069.2022.2047941
Lim, W.M., Yap, S.-F., & Makkar, M. (2021). Home sharing in marketing and tourism at a tipping point: What do we know, how do we know, and where should we be heading? Journal of Business Research, 122, 534–566. https://doi.org/10.1016/j.jbusres.2020.08.051 DOI: https://doi.org/10.1016/j.jbusres.2020.08.051
Lim, X.-J., Cheah, J.-H., Morrison, A.M., Ng, S.I., & Wang, S. (2022b). Travel app shopping on smartphones: Understanding the success factors influencing in-app travel purchase intentions. Tourism Review, 77(4), 1166–1185. https://doi.org/10.1108/TR-11-2021-0497 DOI: https://doi.org/10.1108/TR-11-2021-0497
Lin, L.-Y., & Lu, C.-Y. (2010). The influence of corporate image, relationship marketing, and trust on purchase intention: The moderating effects of word-of-mouth. Tourism Review, 65(3), 16–34. https://doi.org/10.1108/16605371011083503 DOI: https://doi.org/10.1108/16605371011083503
Liu, Y., Pu, B., Guan, Z., & Yang, Q. (2016). Online customer experience and its relationship to repurchase intention: An empirical case of online travel agencies in China. Asia Pacific Journal of Tourism Research, 21(10), 1085–1099. https://doi.org/10.1080/10941665.2015.1094495 DOI: https://doi.org/10.1080/10941665.2015.1094495
Loosschilder, G., van der Rest, J.-P.I., Schwartz, Z., Cordella, P., & Sierag, D. (2017). From OTA interface design to hotels’ revenues: The impact of sorting and filtering functionalities on consumer choices. Journal of Revenue and Pricing Management, 16, 125–138. https://doi.org/10.1057/s41272-016-0074-9 DOI: https://doi.org/10.1057/s41272-016-0074-9
Lu, X., He, S., Lian, S., Ba, S., & Wu, J. (2020). Is user-generated content always helpful? The effects of online forum browsing on consumers’ travel purchase decisions. Decision Support Systems, 137, Article 113368. https://doi.org/10.1016/j.dss.2020.113368 DOI: https://doi.org/10.1016/j.dss.2020.113368
Luo, Y., Tang, L.(R.)., & Kim, E. (2021). A picture is worth a thousand words: The role of a cover photograph on a travel agency’s online identity. International Journal of Hospitality Management, 94, Article 102801. https://doi.org/10.1016/j.ijhm.2020.102801 DOI: https://doi.org/10.1016/j.ijhm.2020.102801
Lv, X., Li, N., Xu, X., & Yang, Y. (2020). Understanding the emergence and development of online travel agencies: A dynamic evaluation and simulation approach. Internet Research, 30(6), 1783–1810. https://doi.org/10.1108/INTR-11-2019-0464 DOI: https://doi.org/10.1108/INTR-11-2019-0464
Maia, C.R., Lunardi, G.L., Dolci, D.B., & da Silva Añaña, E. (2022). The effects of brand and online reviews on consumer trust and purchase intentions in developing countries: The case of the online travel agencies in Brazil. Brazilian Business Review, 19(3), 288–308. https://doi.org/10.15728/bbr.2022.19.3.4 DOI: https://doi.org/10.15728/bbr.2022.19.3.4
Masiero, L., & Law, R. (2016). Comparing reservation channels for hotel rooms: A behavioral perspective. Journal of Travel & Tourism Marketing, 33(1), 1–13. https://doi.org/10.1080/10548408.2014.997960 DOI: https://doi.org/10.1080/10548408.2014.997960
Miller, B. (2005). Building e-loyalty of lodging brands: Avoiding brand erosion. Journal of Travel & Tourism Marketing, 17(2–3), 133–142. https://doi.org/10.1300/J073v17n02_11 DOI: https://doi.org/10.1300/J073v17n02_11
Mohamad, M.A., Radzi, S.M., & Hanafiah, M.H. (2021). Understanding tourist mobile hotel booking behaviour: Incorporating perceived enjoyment and perceived price value in the modified Technology Acceptance Model. Tourism & Management Studies, 17(1), 19–30. https://doi.org/10.18089/tms.2021.170102 DOI: https://doi.org/10.18089/tms.2021.170102
Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G., & PRISMA Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 151(4), 264–269. https://www.acpjournals.org/doi/10.7326/0003-4819-151-4-200908180-00135 DOI: https://doi.org/10.7326/0003-4819-151-4-200908180-00135
Múgica, J., & Berné, C. (2020). Direct and indirect tourism online channels: Do they have a different potential for customer loyalty? Sustainability, 12(11), Article 4761. https://doi.org/10.3390/su12114761 DOI: https://doi.org/10.3390/su12114761
Oumayma, L., & Ez-Zohra, B. (2023). Predicting the antecedents of travelers purchase behavior through OTAs: A hybrid structural equation modeling with fuzzy set qualitative comparative analysis. Scientific African, 20, Article e01618. https://doi.org/10.1016/j.sciaf.2023.e01618 DOI: https://doi.org/10.1016/j.sciaf.2023.e01618
Ozturk, A.B., Bilgihan, A., Nusair, K., & Okumus, F. (2016). What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience. International Journal of Information Management, 36(6, part B), 1350–1359. https://doi.org/10.1016/j.ijinfomgt.2016.04.005 DOI: https://doi.org/10.1016/j.ijinfomgt.2016.04.005
Palmatier, R.W., Houston, M.B., & Hulland, J. (2018). Review articles: Purpose, process, and structure. Journal of the Academy of Marketing Science, 46, 1–5. https://doi.org/10.1007/s11747-017-0563-4 DOI: https://doi.org/10.1007/s11747-017-0563-4
Paul, J., Lim, W.M., O’Cass, A., Hao, A.W., & Bresciani, S. (2021). Scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR). International Journal of Consumer Studies, 45(4), O1–O16. https://doi.org/10.1111/ijcs.12695 DOI: https://doi.org/10.1111/ijcs.12695
Pinto, I., & Castro, C. (2019). Online travel agencies: Factors influencing tourists’ purchase decisions. Tourism & Management Studies, 15(2), 7–20. https://doi.org/10.18089/tms.2019.150201 DOI: https://doi.org/10.18089/tms.2019.150201
Qiu, L., Chen, X., & Lee, T.J. (2021). How can the celebrity endorsement effect help consumer engagement? A case of promoting tourism products through live streaming. Sustainability, 13(15), Article 8655. https://doi.org/10.3390/su13158655 DOI: https://doi.org/10.3390/su13158655
Ray, A., Bala, P.K., & Rana, N.P. (2021). Exploring the drivers of customers’ brand attitudes of online travel agency services: A text-mining based approach. Journal of Business Research, 128, 391–404. https://doi.org/10.1016/j.jbusres.2021.02.028 DOI: https://doi.org/10.1016/j.jbusres.2021.02.028
Rizal, H., Amin, H., Suddin, L., Sondoh, S.L., Jr., & Ku, C.J. (2020). Relationship quality and e-loyalty towards online travel agency (OTA): Social exchange theory perspective. Jurnal Pengurusan, 58, 39–51. https://www.ukm.my/jurnalpengurusan/wp-content/uploads/2022/10/jp_58-4.pdf DOI: https://doi.org/10.17576/pengurusan-2020-58-04
Roger-Monzó, V., Martí-Sánchez, M., & Guijarro-García, M. (2015). Using online consumer loyalty to gain competitive advantage in travel agencies. Journal of Business Research, 68(7), 1638–1640. https://doi.org/10.1016/j.jbusres.2015.02.009 DOI: https://doi.org/10.1016/j.jbusres.2015.02.009
Sánchez-Franco, M.J., Navarro-García, A., & Rondán-Cataluña, F.J. (2016). Online customer service reviews in urban hotels: A data mining approach. Psychology & Marketing, 33(12), 1174–1186. https://doi.org/10.1002/mar.20955 DOI: https://doi.org/10.1002/mar.20955
Scholl-Grissemann, U., & Schnurr, B. (2016). Room with a view: How hedonic and utilitarian choice options of online travel agencies affect consumers’ booking intentions. International Journal of Culture, Tourism and Hospitality Research, 10(4), 361–376. https://doi.org/10.1108/IJCTHR-06-2016-0062 DOI: https://doi.org/10.1108/IJCTHR-06-2016-0062
Shi, S., Leung, W.K.S., & Munelli, F. (2022). Gamification in OTA platforms: A mixed-methods research involving online shopping carnival. Tourism Management, 88, Article 104426. https://doi.org/10.1016/j.tourman.2021.104426 DOI: https://doi.org/10.1016/j.tourman.2021.104426
Son, Y., Kang, K., Choi, I., & Kim, J. (2022). The determinants of helpful hotel reviews: A social influence perspective. Sustainability, 14(22), Article 14881. https://doi.org/10.3390/su142214881 DOI: https://doi.org/10.3390/su142214881
Sparks, B.A., & Browning, V. (2011). The impact of online reviews on hotel booking intentions and perception of trust. Tourism Management, 32(6), 1310–1323. https://doi.org/10.1016/j.tourman.2010.12.011 DOI: https://doi.org/10.1016/j.tourman.2010.12.011
Statista. (2024, June 10). Online travel market size worldwide from 2017 to 2023, with a forecast until 2028 (in billion U.S. dollars). https://www.statista.com/statistics/1179020/online-travel-agent-market-size-worldwide/
Strebinger, A., & Treiblmaier, H. (2022). Profiling early adopters of blockchain-based hotel booking applications: Demographic, psychographic, and service-related factors. Information Technology & Tourism, 24(1), 1–30. https://doi.org/10.1007/s40558-021-00219-0 DOI: https://doi.org/10.1007/s40558-021-00219-0
Sun, S., Law, R., & Schuckert, M. (2020). Mediating effects of attitude, subjective norms and perceived behavioural control for mobile payment-based hotel reservations. International Journal of Hospitality Management, 84, Article 102331. https://doi.org/10.1016/j.ijhm.2019.102331 DOI: https://doi.org/10.1016/j.ijhm.2019.102331
Sutherland, I., Sim, Y., Lee, S.K., Byun, J., & Kiatkawsin, K. (2020). Topic modeling of online accommodation reviews via latent Dirichlet allocation. Sustainability, 12(5), Article 1821. https://doi.org/10.3390/su12051821 DOI: https://doi.org/10.3390/su12051821
Talwar, S., Dhir, A., Kaur, P., & Mäntymäki, M. (2020a). Barriers toward purchasing from online travel agencies. International Journal of Hospitality Management, 89, Article 102593. https://doi.org/10.1016/j.ijhm.2020.102593 DOI: https://doi.org/10.1016/j.ijhm.2020.102593
Talwar, S., Dhir, A., Kaur, P., & Mäntymäki, M. (2020b). Why do people purchase from online travel agencies (OTAs)? A consumption values perspective. International Journal of Hospitality Management, 88, Article 102534. https://doi.org/10.1016/j.ijhm.2020.102534 DOI: https://doi.org/10.1016/j.ijhm.2020.102534
Tao, M., Nawaz, M.Z., Nawaz, S., Butt, A.H., & Ahmad, H. (2018). Users’ acceptance of innovative mobile hotel booking trends: UK vs. PRC. Information Technology & Tourism, 20, 9–36. https://doi.org/10.1007/s40558-018-0123-x DOI: https://doi.org/10.1007/s40558-018-0123-x
Ter Huurne, M., Ronteltap, A., Corten, R., & Buskens, V. (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 DOI: https://doi.org/10.1002/cb.1667
Tussyadiah, I.P., & Park, S. (2018). Consumer evaluation of hotel service robots. In B. Stangl & J. Pesonen (Eds.), Information and Communication Technologies in Tourism 2018: Proceedings of the International Conference in Jönköping, Sweden, January 24–26, 2018 (pp. 308–320). Springer. https://doi.org/10.1007/978-3-319-72923-7_24 DOI: https://doi.org/10.1007/978-3-319-72923-7_24
Usunier, J.C., & Lee, J.A. (2013). Marketing across cultures (6th ed.). Pearson Education.
Vianna, C. (2023, July 31). A complete guide to all the OTAs. XOLA. https://www.xola.com/articles/what-is-an-online-travel-agency-a-complete-guide-to-the-best-travel-and-tourism-otas-2/
Vo, N.T., Hung, V.V., Tuckova, Z., Pham, N.T., & Nguyen, L.H.L. (2022). Guest online review: An extraordinary focus on hotel users’ satisfaction, engagement, and loyalty. Journal of Quality Assurance in Hospitality & Tourism, 23(4), 913–944. https://doi.org/10.1080/1528008X.2021.1920550 DOI: https://doi.org/10.1080/1528008X.2021.1920550
Wei, J., Lian, Y., Li, L., Lu, Z., Lu, Q., Chen, W., & Dong, H. (2023). The impact of negative emotions and relationship quality on consumers’ repurchase intention: An empirical study based on service recovery in China’s online travel agencies. Heliyon, 9(1), Article e12919. https://doi.org/10.1016/j.heliyon.2023.e12919 DOI: https://doi.org/10.1016/j.heliyon.2023.e12919
Wong, E., Rasoolimanesh, S.M., & Pahlevan Sharif, S. (2020). Using online travel agent platforms to determine factors influencing hotel guest satisfaction. Journal of Hospitality and Tourism Technology, 11(3), 425–445. https://doi.org/10.1108/JHTT-07-2019-0099 DOI: https://doi.org/10.1108/JHTT-07-2019-0099
Wong, E., & Wei, Y. (2018). Customer online shopping experience data analytics: Integrated customer segmentation and customised services prediction model. International Journal of Retail & Distribution Management, 46(4), 406–420. https://doi.org/10.1108/IJRDM-06-2017-0130 DOI: https://doi.org/10.1108/IJRDM-06-2017-0130
Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51–65. https://doi.org/10.1016/j.tourman.2016.10.001 DOI: https://doi.org/10.1016/j.tourman.2016.10.001
Xie, K.L., & Lee, Y.J. (2020). Hotels at fingertips: Informational cues in consumer conversion from search, click-through, to book. Journal of Hospitality and Tourism Technology, 11(1), 49–67. https://doi.org/10.1108/JHTT-03-2017-0026 DOI: https://doi.org/10.1108/JHTT-03-2017-0026
Xue, P., Jo, W., & Bonn, M.A. (2020). Online hotel booking decisions based on price complexity, alternative attractiveness, and confusion. Journal of Hospitality and Tourism Management, 45, 162–171. https://doi.org/10.1016/j.jhtm.2020.08.013 DOI: https://doi.org/10.1016/j.jhtm.2020.08.013
Yang, Y., & Kim, J.-H. (2022). An exploration of the contingency influence on Chinese customers’ selection of online hotel reservationchannels. SAGE Open, 12(3), Article 21582440221120407. https://doi.org/10.1177/21582440221120407 DOI: https://doi.org/10.1177/21582440221120407
Ye, B.H., Barreda, A.A., Okumus, F., & Nusair, K. (2019). Website interactivity and brand development of online travel agencies in China: The moderating role of age. Journal of Business Research, 99, 382–389. https://doi.org/10.1016/j.jbusres.2017.09.046 DOI: https://doi.org/10.1016/j.jbusres.2017.09.046
Ye, B.H., Fu, H., & Law, R. (2016). Use of impact-range performance and asymmetry analyses to improve OTA website quality. Journal of Hospitality and Tourism Management, 26, 9–17. https://doi.org/10.1016/j.jhtm.2015.09.001 DOI: https://doi.org/10.1016/j.jhtm.2015.09.001
Zhu, Y., Zhang, R.(R.)., Zou, Y., & Jin, D. (2023). Investigating customers’ responses to artificial intelligence chatbots in online travel agencies: The moderating role of product familiarity. Journal of Hospitality and Tourism Technology, 14(2), 208–224. https://doi.org/10.1108/JHTT-02-2022-0041 DOI: https://doi.org/10.1108/JHTT-02-2022-0041
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