Examining cultural differences in Airbnb naming convention and user reception: an eye-tracking study

References

• Adab, B. (2004). The translator special issue: 10.2004,2. Key debates in the translation of advertising material. St.
   Google Scholar
• Anand, B. N., & Shachar, R. (2009). Targeted advertising as a signal. Quantitative Marketing and Economics, 7(3), 237–266. https://doi.org/10.1007/s11129-009-9068-x
   Web of Science ®Google Scholar
• Baltas, G. (2003). Determinants of internet advertising effectiveness: An empirical study. International Journal of Market Research, 45(4), 1–9. https://doi.org/10.1177/147078530304500403
   Web of Science ®Google Scholar
• Banerjee, S., & Bonfield, S. (2019). How online reviews in a year predict online sales in the next on expedia. com+ agoda. com+ hotels. com? A panel study of hotels. In 5th International Conference on Information Management (pp. 336–340). Cambridge, UK: IEEE.
   Google Scholar
• Beldad, A., Jong, M. D., & Steehouder, M. (2010). How shall I trust the faceless and the intangible? A literature review on the antecedents of online trust. Computers in Human Behavior, 26(5), 857–869. https://doi.org/10.1016/j.chb.2010.03.013
   Web of Science ®Google Scholar
• Birinci, H., Berezina, K., & Cobanoglu, C. (2018). Comparing customer perceptions of hotel and peer-to-peer accommodation advantages and disadvantages. International Journal of Contemporary Hospitality Management, 30(2), 1190–1210. https://doi.org/10.1108/IJCHM-09-2016-0506
   Web of Science ®Google Scholar
• Bruner, G. C., & Kumar, A. (2000). Web commercials and advertising hierarchy-of-effects. Journal of Advertising Research, 40(1–2), 35–42. https://doi.org/10.2501/JAR-40-1-2-35-42
   Web of Science ®Google Scholar
• Chang, C., & Li, S. (2021). Study of price determinants of sharing economy-based accommodation services: Evidence from Airbnb.com. Journal of Theoretical & Applied Electronic Commerce Research, 16(4), 584–601. https://doi.org/10.3390/jtaer16040035
   Web of Science ®Google Scholar
• Cheng, M., & Jin, X. (2019). What do Airbnb users care about? An analysis of online review comments. International Journal of Hospitality Management, 76, 58–70. https://doi.org/10.1016/j.ijhm.2018.04.004
   Web of Science ®Google Scholar
• Chua, A. Y., & Banerjee, S. (2017). Analyzing review efficacy on Amazon.com: Does the rich grow richer? Computers in Human Behavior, 75, 501–509. https://doi.org/10.1016/j.chb.2017.05.047
   Web of Science ®Google Scholar
• Claypool, H. M., Mackie, D. M., Garcia-Marques, T., Mcintosh, A., & Udall, A. (2004). The effects of personal relevance and repetition on persuasive processing. Social Cognition, 22(3), 310–335. https://doi.org/10.1521/soco.22.3.310.35970
   Web of Science ®Google Scholar
• Clifton, C., Jr., Ferreira, F., Henderson, J. M., Inhoff, A. W., Liversedge, S. P., Reichle, E. D., & Schotter, E. R. (2016). Eye movements in reading and information processing: Keith Rayner’s 40 year legacy. Journal of Memory and Language, 86, 1–19. https://doi.org/10.1016/j.jml.2015.07.004
   Web of Science ®Google Scholar
• Conklin, K., & Pellicer-Sánchez, A. (2016). Using eye-tracking in applied linguistics and second language research. Second Language Research, 32(3), 453–467. https://doi.org/10.1177/0267658316637401
   Web of Science ®Google Scholar
• Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555
   Web of Science ®Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
   Web of Science ®Google Scholar
• Ert, E., Fleischer, A., & Magen, N. (2016). Trust and reputation in the sharing economy: The role of personal photos in Airbnb. Tourism Management, 55, 62–73. https://doi.org/10.1016/j.tourman.2016.01.013
   Web of Science ®Google Scholar
• Fabrigar, L. R., Priester, J. R., Petty, R. E., & Wegener, D. T. (1998). The impact of attitude accessibility on elaboration of persuasive messages. Personality and Social Psychology Bulletin, 24(4), 339–352. https://doi.org/10.1177/0146167298244001
   Web of Science ®Google Scholar
• Falk, M., Larpin, B., & Scaglione, M. (2019). The role of specific attributes in determining prices of Airbnb listings in rural and urban locations. International Journal of Hospitality Management, 83, 132–140. https://doi.org/10.1016/j.ijhm.2019.04.023
   Web of Science ®Google Scholar
• Geiger, A., Horbel, C., & Germelmann, C. C. (2018). “Give and take”: How notions of sharing and context determine free peer-to-peer accommodation decisions. Journal of Travel & Tourism Marketing, 35(1), 5–15. https://doi.org/10.1080/10548408.2016.1231101
   Web of Science ®Google Scholar
• Gong, Y., Luo, X., Zhu, K. Q., Ou, W., Li, Z., & Duan, L. (2019). Automatic generation of chinese short product titles for mobile display. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 33, pp. 9460–9465). Cambridge, UK.
   Google Scholar
• Guo, R., & Li, H. (2022). Can the amount of information and information presentation reduce choice overload? An empirical study of online hotel booking. Journal of Travel & Tourism Marketing, 39(1), 87–108. https://doi.org/10.1080/10548408.2022.2044970
   Web of Science ®Google Scholar
• Hall, E. T. (1989). Beyond culture. Anchor Books.
   Google Scholar
• Hallikainen, H., & Laukkanen, T. (2016). Consumer trust towards an online vendor in high-vs. low-context cultures. In 2016 49th Hawaii International Conference on System Sciences (pp. 3536–3545). Koloa, HI, USA: IEEE.
   Google Scholar
• Han, M. C., & Kim, Y. (2017). Why consumers hesitate to shop online: Perceived risk and product involvement on Taobao.com. Journal of Promotion Management, 23(1), 24–44. https://doi.org/10.1080/10496491.2016.1251530
   Google Scholar
• Han, H., Shin, S., Chung, N., & Koo, C. (2019). Which appeals (ethos, pathos, logos) are the most important for Airbnb users to booking? International Journal of Contemporary Hospitality Management, 31(3), 1205–1223. https://doi.org/10.1108/IJCHM-12-2017-0784
   Web of Science ®Google Scholar
• Hofstede, G. (1980). Culture and organizations. International Studies of Management and Organization, 10(4), 15–41. https://doi.org/10.1080/00208825.1980.11656300
   Google Scholar
• Hong, W. C. H., Ngan, H. F. B., Yu, J., & Zhao, Y. (2022). An eye-tracking study of exoticism in intra-national destinations in the greater Bay area of China. Tourism Recreation Research, 47(4), 414–427. https://doi.org/10.1080/02508281.2020.1846431
   Web of Science ®Google Scholar
• Hong, W., Thong, J. Y., & Tam, K. Y. (2004). The effects of information format and shopping task on consumers’ online shopping behavior: A cognitive fit perspective. Journal of Management Information Systems, 21(3), 149–184. https://doi.org/10.1080/07421222.2004.11045812
   Web of Science ®Google Scholar
• Hornikx, J., & Le Pair, R. (2017). The influence of high-/Low-context culture on perceived ad complexity and liking. Journal of Global Marketing, 30(4), 228–237. https://doi.org/10.1080/08911762.2017.1296985
   Google Scholar
• Horstmann, N., Ahlgrimm, A., & Glöckner, A. (2009). How distinct are intuition and deliberation? An eye-tracking analysis of instruction-induced decision modes. Preprints of the Max Planck Institute for Research on Collective Goods, 1–26. https://doi.org/10.2139/ssrn.1393729
   Google Scholar
• Huang, B., Juaneda, C., Sénécal, S., & Léger, P. ‑. (2021). “Now you see me”: The attention-grabbing effect of product similarity and proximity in online shopping. Journal of Interactive Marketing, 54, 1–10. https://doi.org/10.1016/j.intmar.2020.08.004
   Web of Science ®Google Scholar
• Hunter, G. L. (2002). A Dual-Process Theory of Information Overload . Advances in Consumer Research Volume 29, (pp. 211–212). Association for Consumer Research. https://www.acrwebsite.org/volumes/8595/volumes/v29/NA-29
   Google Scholar
• Indiani, N. L. P., & Fahik, G. A. (2020). Conversion of online purchase intention into actual purchase: The moderating role of transaction security and convenience. Business: Theory and Practice, 21(1), 18–29. https://doi.org/10.3846/btp.2020.11346
   Google Scholar
• Kahneman, D. (2012). Of 2 minds: How fast and slow thinking shape perception and choice [excerpt]. Scientific American.
   Google Scholar
• Khan, S. K., Ali, N., Khan, N. A., Ammara, U., & Anjum, N. (2020). Understanding multiscreening phenomenon for online shopping through perspective of self-regulation and dual process theory: Case of Chinese young generation. Electronic Commerce Research and Applications, 42, 100988. https://doi.org/10.1016/j.elerap.2020.100988
   Web of Science ®Google Scholar
• Koh, Y., Kim, J., & Vaughan, Y. (2021). How you name your Airbnb’s title matters: Comparison of seven countries. Journal of Travel & Tourism Marketing, 38(1), 93–106. https://doi.org/10.1080/10548408.2021.1875105
   Web of Science ®Google Scholar
• Lavie, T., & Tractinsky, N. (2004). Assessing dimensions of perceived visual aesthetics of web sites. International Journal of Human-Computer Studies, 60(3), 269–298. https://doi.org/10.1016/j.ijhcs.2003.09.002
   Web of Science ®Google Scholar
• MacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999). Sample size in factor analysis. Psychological Methods, 4(1), 84–99. https://doi.org/10.1037/1082-989X.4.1.84
   Web of Science ®Google Scholar
• Mariani, M. M., DiFelice, M., & Mura, M. (2016). Facebook as a destination marketing tool: Evidence from Italian regional destination Management organizations. Tourism Management, 54, 321–343. https://doi.org/10.1016/j.tourman.2015.12.008
   Web of Science ®Google Scholar
• Miller, E. C., Griffin, T., DiPaolo, P., & Sherbert, E. (2009). The impact of cultural differences on the effectiveness of advertisements on the internet: A comparison among the United States, China, and Germany. International Business & Economics Research Journal, 8(4), 1–12. https://doi.org/10.19030/iber.v8i4.3121
   Google Scholar
• Pancer, E., Chandler, V., Poole, M., & Noseworthy, T. J. (2019). How readability shapes Social media engagement. Journal of Consumer Psychology, 29(2), 262–270. https://doi.org/10.1002/jcpy.1073
   Web of Science ®Google Scholar
• Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19(1), 123–205.
   Google Scholar
• Petty, R. E., & Wegener, D. T. (1999). The elaboration likelihood model: Current status and controversies. In S. Chaiken & Y. Trope (Eds.), Dual-process theories in social psychology (pp. 37–72). The Guilford Press.
   Google Scholar
• Priester, J. R., & Petty, R. E. (1995). Source attributions and persuasion: Perceived honesty as a determinant of message scrutiny. Personality and Social Psychology Bulletin, 21(6), 637–654. https://doi.org/10.1177/0146167295216010
   Web of Science ®Google Scholar
• Priester, J. R., & Petty, R. E. (2003). The influence of spokesperson trustworthiness on message elaboration, attitude strength, and advertising effectiveness. Journal of Consumer Psychology, 13(4), 408–421. https://doi.org/10.1207/S15327663JCP1304_08
   Web of Science ®Google Scholar
• Salehan, M., & Kim, D. J. (2016). Predicting the performance of online consumer reviews: A sentiment mining approach to big data analytics. Decision Support Systems, 81, 30–40. https://doi.org/10.1016/j.dss.2015.10.006
   Web of Science ®Google Scholar
• Sanjari, S. S., Jahn, S., & Boztug, Y. (2017). Dual-process theory and consumer response to front-of-package nutrition label formats. Nutrition Reviews, 75(11), 871–882. https://doi.org/10.1093/nutrit/nux043
   PubMed Web of Science ®Google Scholar
• Stevenson, J. S., Bruner, G. C., & Kumar, A. (2000). Webpage background and viewer attitudes. Journal of Advertising Research, 40(1–2), 29–34. https://doi.org/10.2501/JAR-40-1-2-29-34
   Web of Science ®Google Scholar
• Stocklight. (2022). Airbnb annual report 2022. https://stocklight.com/stocks/us/administrative-and-support-and-waste-management-and-remediation-services/nasdaq-abnb/airbnb/annual-reports/nasdaq-abnb-2022-10K-22679991.pdf
   Google Scholar
• Tang, L. R., Jang, S. S., & Morrison, A. (2012). Dual-route communication of destination websites. Tourism Management, 33(1), 38–49. https://doi.org/10.1016/j.tourman.2011.01.021
   Web of Science ®Google Scholar
• Tsai, W. H. S., & Men, L. R. (2017). Consumer engagement with brands on social network sites: A cross-cultural comparison of China and the USA. Journal of Marketing Communications, 23(1), 2–21. https://doi.org/10.1080/13527266.2014.942678
   Google Scholar
• Usunier, J. C., & Roulin, N. (2010). The influence of high- and low-context communication styles on the design, content, and language of Business-to-Business web sites. Journal of Business Communication, 47(2), 189–227. https://doi.org/10.1177/0021943610364526
   Google Scholar
• Villamediana-Pedrosa, J. D., Vila-Lopez, N., & Küster-Boluda, I. (2019). Secrets to design an effective message on Facebook: An application to a touristic destination based on big data analysis. Current Issues in Tourism, 22(15), 1841–1861. https://doi.org/10.1080/13683500.2018.1554625
   Web of Science ®Google Scholar
• Wegener, D. T., Petty, R. E., & Smith, S. M. (1995). Positive mood can increase or decrease message scrutiny: The hedonic contingency view of mood and message processing. Journal of Personality and Social Psychology, 69(1), 5–15. https://doi.org/10.1037/0022-3514.69.1.5
   PubMed Web of Science ®Google Scholar
• Wolfinbarger, M., & Gilly, M. C. (2001). Shopping online for freedom, control, and fun. California Management Review, 43(2), 34–55. https://doi.org/10.2307/41166074
   Web of Science ®Google Scholar
• World Bank. (2023). International tourism, number of arrivals. https://data.worldbank.org/indicator/ST.INT.ARVL
   Google Scholar
• Wu, L., Hu, D., Hong, L., & Liu, H. (2018). Turning clicks into purchases: Revenue optimization for product search in e-commerce. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (pp. 365–374). New York, USA.
   Google Scholar
• Xia, H., Pan, X., Zhou, Y., & Zhang, Z. (2020). Creating the best first impression: Designing online product photos to increase sales. Decision Support Systems, 131, 113235. https://doi.org/10.1016/j.dss.2019.113235
   Web of Science ®Google Scholar
• Yang, Y., Kim, S. I., Kim, J., & Koh, Y. (2022). How Airbnb titles influence guests’ decision making: Linguistic and spatial analysis approach. International Journal of Hospitality & Tourism Administration, 1–24. https://doi.org/10.1080/15256480.2022.2114973
   Web of Science ®Google Scholar
• Yasmeen, R., Vladykin, V., & Popova, N. (2022). Top 100 city destinations index 2021. Euromonitor International. https://go.euromonitor.com/rs/805-KOK-719/images/wpTop100CitiesIndex2021-v0.4.pdf
   Google Scholar
• Yu, C. E., & Sun, R. (2019). The role of Instagram in the UNESCO’s creative city of gastronomy: A case study of Macau. Tourism Management, 75, 257–268. https://doi.org/10.1016/j.tourman.2019.05.011
   Web of Science ®Google Scholar
• Zhang, S., Lee, D., Singh, P. V., & Srinivasan, K. (2017). How much is an image worth? Airbnb property demand analytics leveraging a scalable image classification algorithm. SSRN. https://doi.org/10.2139/ssrn.2976021
   Google Scholar
• Zhang, J. G., Zou, P., Li, Z., Wan, Y., Pan, X., Gong, Y., & Yu, P. S. (2019). Multi-modal generative adversarial network for short product title generation in mobile E-Commerce. International Journal of Offshore and Polar Engineering arXiv:1904.01735.
   Google Scholar
• Zhao, Y., Liang, J., Boyol, N., & Hong, W. (2020). The influences of guidance system on tourists’ wayfinding behaviour: A case study based on eye-tracking techniques. Tourism Tribune, 35(9), 63–73.
   Google Scholar