Main Article Content
Abstract
Existing studies have recognized the significance of ambiance in influencing tourist behavior and preferences. However, little attention has been given to exploring tourist preferences for specific ambiances throughout the day. This study aims to fill this gap by examining whether temporal preferences for ambiance exist in tourism. We used the Kansei Engineering method to identify the specific ambiance tourists expect at different times of day: morning, afternoon, and evening. A survey of 200 domestic tourists in Yogyakarta, Indonesia, was conducted using semantic differential questionnaires. The results suggest five distinct constructs of ambiance that reflect tourist expectations at different times of the day. The results confirm the existence of temporal preferences for ambiance across the day. Specifically, tourists visiting Yogyakarta prefer peaceful, nature-centric attractions in the morning, cultural experiences and popular places in the afternoon, and romantic ambiances in the evening. Further analysis reveals that this pattern aligns with natural circadian rhythms. This study provides valuable insights for stakeholders to improve tourist experiences by aligning offerings with these temporal preferences.
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Copyright (c) 2024 Rischa Agustina, Budhi Sholeh Wibowo
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References
- Al-Sulaiti, I. (2022). Mega shopping malls technology-enabled facilities, destination image, tourists’ behavior and revisit intentions: Implications of the SOR theory. Frontiers in Environmental Science, 10. https://doi.org/10.3389/fenvs.2022.965642
- Benfield, J. A., Nutt, R. J., Taff, B. D., Miller, Z. D., Costigan, H., & Newman, P. (2018). A laboratory study of the psychological impact of light pollution in national parks. Journal of Environmental Psychology, 57, 67–72. https://doi.org/10.1016/j.jenvp.2018.06.006
- Cao, E., Chong, K. M., Pan, L., Ning, L., Pan, F. D., & Li, K. K. (2024). Oh, I remember the beauty and aesthetics of Guilin!: Exploring the implications of memorability on tourist loyalty through a two-wave panel data. Heliyon, 10(1). https://doi.org/10.1016/j.heliyon.2023.e23365
- Castilla, N., Blanca-Giménez, V., Pérez-Carramiñana, C., & Llinares, C. (2024). The influence of the public lighting environment on local residents’ subjective assessment. Applied Sciences, 14(3), 1234. https://doi.org/10.3390/app14031234
- Cheng, P., Wang, W., & Yang, S. (2024). Doing the right thing: How to persuade travelers to adopt pro-environmental behaviors? An elaboration likelihood model perspective. Journal of Hospitality and Tourism Management, 59, 191–209. https://doi.org/10.1016/j.jhtm.2024.04.009
- Cox, D. T. C., Maclean, I. M. D., Gardner, A. S., & Gaston, K. J. (2020). Global variation in diurnal asymmetry in temperature, cloud cover, specific humidity, precipitation, and its association with leaf area index. Global Change Biology, 26(12), 7099–7111. https://doi.org/10.1111/gcb.15336
- Folgado-Fernández, J. A., Huete-Alcocer, N., Hernández-Rojas, R., & Vileikis, O. (2024). Information sources and tourism heritage: A sustainable economy perspective. Journal of Cultural Heritage Management and Sustainable Development. https://doi.org/10.1108/JCHMSD-05-2023-0062
- Giordano, E. (2018). Outdoor lighting design as a tool for tourist development: The case of Valladolid. European Planning Studies, 26(1), 55–74. https://doi.org/10.1080/09654313.2017.1368457
- Gullo, K., Berger, J., Etkin, J., & Bollinger, B. (2019). Does time of day affect variety-seeking? Journal of Consumer Research, 46(1), 20–35. https://doi.org/10.1093/jcr/ucy061
- Hartono, M., Prayogo, D. N., Ronyastra, I. M., & Baredwan, A. (2024). Kansei engineering with online review mining methodology for robust service design. Theoretical Issues in Ergonomics Science, 25(4), 495–520. https://doi.org/10.1080/1463922X.2023.2261995
- Huang, W. J., & Wang, P. (2018). “All that’s best of dark and bright”: Day and night perceptions of Hong Kong cityscape. Tourism Management, 66, 274–286. https://doi.org/10.1016/j.tourman.2017.12.006
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2021). An Introduction to Statistical Learning. Springer US. https://doi.org/10.1007/978-1-0716-1418-1
- Lee, Y.-J., Tsai, I.-Y., & Chang, T.-Y. (2023). Exploring tourist behavior in a reused heritage site. Journal of Hospitality & Tourism Research, 47(6), 1071–1088. https://doi.org/10.1177/10963480211020089
- Lin, I. Y. (2004). Evaluating a servicescape: The effect of cognition and emotion. International Journal of Hospitality Management, 23(2), 163–178. https://doi.org/10.1016/j.ijhm.2003.01.001
- Lyu, J., Krasonikolakis, I., & Vrontis, D. (2022). A systematic literature review of store atmosphere in alternative retail commerce channels. Journal of Business Research, 153, 412–427. https://doi.org/10.1016/j.jbusres.2022.08.050
- Masullo, M., Cioffi, F., Li, J., Maffei, L., Scorpio, M., Iachini, T., Ruggiero, G., Malferà, A., & Ruotolo, F. (2022). An investigation of the influence of the night lighting in a urban park on individuals’ emotions. Sustainability, 14(14), 8556. https://doi.org/10.3390/su14148556
- Mattila, A. S., & Gao, L. (2017). Atmospherics and the Touristic Experience (pp. 151–160). https://doi.org/10.1007/978-3-319-42773-7_10
- Melewar, T. C., Rodrigues, C., & Dennis, C. (2019). Branding places: Developing a sensorial brand identity model: An abstract. In Developments in Marketing Science: Proceedings of the Academy of Marketing Science. https://doi.org/10.1007/978-3-030-02568-7_247
- Nabila, D. F., Setiawan, B., & Riana, F. D. (2021). The influence of store atmosphere on revisit intention at shopping tourism. Agricultural Social Economic Journal, 21(4), 301–310. https://doi.org/10.21776/ub.agrise.2020.021.4.6
- Paisri, W., Ruanguttamanun, C., & Sujchaphong, N. (2022). Customer experience and commitment on eWOM and revisit intention: A case of Taladtongchom Thailand. Cogent Business & Management, 9(1). https://doi.org/10.1080/23311975.2022.2108584
- Shawa, N., Rae, D. E., & Roden, L. C. (2018). Impact of seasons on an individual’s chronotype: Current perspectives. Nature and Science of Sleep, 10, 345–354. https://doi.org/10.2147/NSS.S158596
- Silva, R., & Correia, A. (2017). Places and tourists: Ties that reinforce behavioural intentions. Anatolia, 28(1), 14–30. https://doi.org/10.1080/13032917.2016.1240093
- Sparks, K., Piburn, J., Berres, A., Urban, M., & Thakur, G. (2023). Temporal dynamics of place and mobility. In Advances in Scalable and Intelligent Geospatial Analytics: Challenges and Applications. https://doi.org/10.1201/9781003270928-5
- Thibaud, J.-P. (2015). The backstage of urban ambiances: When atmospheres pervade everyday experience. Emotion, Space and Society, 15, 39–46. https://doi.org/10.1016/j.emospa.2014.07.001
- Vanhatalo, S., Liedes, H., & Pennanen, K. (2022). Nature ambience in a lunch restaurant has the potential to evoke positive emotions, reduce stress, and support healthy food choices and sustainable behavior: A field experiment among Finnish customers. Foods, 11(7), 964. https://doi.org/10.3390/foods11070964
- Wang, Y.-C., Liu, C.-R., Huang, W.-S., & Chen, S.-P. (2020). Destination fascination and destination loyalty: Subjective well-being and destination attachment as mediators. Journal of Travel Research, 59(3), 496–511. https://doi.org/10.1177/0047287519839777
- Yang, M., Jiang, P., Zang, T., & Liu, Y. (2023). Data-driven intelligent computational design for products: Method, techniques, and applications. Journal of Computational Design and Engineering, 10(4), 1561–1578. https://doi.org/10.1093/jcde/qwad070
- Zhang, L., & Sanake, S. (2020). Social welfare-based human comfort aggregation model to facilitate healthy and comfortable indoor environments. Journal of Architectural Engineering, 26(3). https://doi.org/10.1061/(ASCE)AE.1943-5568.0000422
References
Al-Sulaiti, I. (2022). Mega shopping malls technology-enabled facilities, destination image, tourists’ behavior and revisit intentions: Implications of the SOR theory. Frontiers in Environmental Science, 10. https://doi.org/10.3389/fenvs.2022.965642
Benfield, J. A., Nutt, R. J., Taff, B. D., Miller, Z. D., Costigan, H., & Newman, P. (2018). A laboratory study of the psychological impact of light pollution in national parks. Journal of Environmental Psychology, 57, 67–72. https://doi.org/10.1016/j.jenvp.2018.06.006
Cao, E., Chong, K. M., Pan, L., Ning, L., Pan, F. D., & Li, K. K. (2024). Oh, I remember the beauty and aesthetics of Guilin!: Exploring the implications of memorability on tourist loyalty through a two-wave panel data. Heliyon, 10(1). https://doi.org/10.1016/j.heliyon.2023.e23365
Castilla, N., Blanca-Giménez, V., Pérez-Carramiñana, C., & Llinares, C. (2024). The influence of the public lighting environment on local residents’ subjective assessment. Applied Sciences, 14(3), 1234. https://doi.org/10.3390/app14031234
Cheng, P., Wang, W., & Yang, S. (2024). Doing the right thing: How to persuade travelers to adopt pro-environmental behaviors? An elaboration likelihood model perspective. Journal of Hospitality and Tourism Management, 59, 191–209. https://doi.org/10.1016/j.jhtm.2024.04.009
Cox, D. T. C., Maclean, I. M. D., Gardner, A. S., & Gaston, K. J. (2020). Global variation in diurnal asymmetry in temperature, cloud cover, specific humidity, precipitation, and its association with leaf area index. Global Change Biology, 26(12), 7099–7111. https://doi.org/10.1111/gcb.15336
Folgado-Fernández, J. A., Huete-Alcocer, N., Hernández-Rojas, R., & Vileikis, O. (2024). Information sources and tourism heritage: A sustainable economy perspective. Journal of Cultural Heritage Management and Sustainable Development. https://doi.org/10.1108/JCHMSD-05-2023-0062
Giordano, E. (2018). Outdoor lighting design as a tool for tourist development: The case of Valladolid. European Planning Studies, 26(1), 55–74. https://doi.org/10.1080/09654313.2017.1368457
Gullo, K., Berger, J., Etkin, J., & Bollinger, B. (2019). Does time of day affect variety-seeking? Journal of Consumer Research, 46(1), 20–35. https://doi.org/10.1093/jcr/ucy061
Hartono, M., Prayogo, D. N., Ronyastra, I. M., & Baredwan, A. (2024). Kansei engineering with online review mining methodology for robust service design. Theoretical Issues in Ergonomics Science, 25(4), 495–520. https://doi.org/10.1080/1463922X.2023.2261995
Huang, W. J., & Wang, P. (2018). “All that’s best of dark and bright”: Day and night perceptions of Hong Kong cityscape. Tourism Management, 66, 274–286. https://doi.org/10.1016/j.tourman.2017.12.006
James, G., Witten, D., Hastie, T., & Tibshirani, R. (2021). An Introduction to Statistical Learning. Springer US. https://doi.org/10.1007/978-1-0716-1418-1
Lee, Y.-J., Tsai, I.-Y., & Chang, T.-Y. (2023). Exploring tourist behavior in a reused heritage site. Journal of Hospitality & Tourism Research, 47(6), 1071–1088. https://doi.org/10.1177/10963480211020089
Lin, I. Y. (2004). Evaluating a servicescape: The effect of cognition and emotion. International Journal of Hospitality Management, 23(2), 163–178. https://doi.org/10.1016/j.ijhm.2003.01.001
Lyu, J., Krasonikolakis, I., & Vrontis, D. (2022). A systematic literature review of store atmosphere in alternative retail commerce channels. Journal of Business Research, 153, 412–427. https://doi.org/10.1016/j.jbusres.2022.08.050
Masullo, M., Cioffi, F., Li, J., Maffei, L., Scorpio, M., Iachini, T., Ruggiero, G., Malferà, A., & Ruotolo, F. (2022). An investigation of the influence of the night lighting in a urban park on individuals’ emotions. Sustainability, 14(14), 8556. https://doi.org/10.3390/su14148556
Mattila, A. S., & Gao, L. (2017). Atmospherics and the Touristic Experience (pp. 151–160). https://doi.org/10.1007/978-3-319-42773-7_10
Melewar, T. C., Rodrigues, C., & Dennis, C. (2019). Branding places: Developing a sensorial brand identity model: An abstract. In Developments in Marketing Science: Proceedings of the Academy of Marketing Science. https://doi.org/10.1007/978-3-030-02568-7_247
Nabila, D. F., Setiawan, B., & Riana, F. D. (2021). The influence of store atmosphere on revisit intention at shopping tourism. Agricultural Social Economic Journal, 21(4), 301–310. https://doi.org/10.21776/ub.agrise.2020.021.4.6
Paisri, W., Ruanguttamanun, C., & Sujchaphong, N. (2022). Customer experience and commitment on eWOM and revisit intention: A case of Taladtongchom Thailand. Cogent Business & Management, 9(1). https://doi.org/10.1080/23311975.2022.2108584
Shawa, N., Rae, D. E., & Roden, L. C. (2018). Impact of seasons on an individual’s chronotype: Current perspectives. Nature and Science of Sleep, 10, 345–354. https://doi.org/10.2147/NSS.S158596
Silva, R., & Correia, A. (2017). Places and tourists: Ties that reinforce behavioural intentions. Anatolia, 28(1), 14–30. https://doi.org/10.1080/13032917.2016.1240093
Sparks, K., Piburn, J., Berres, A., Urban, M., & Thakur, G. (2023). Temporal dynamics of place and mobility. In Advances in Scalable and Intelligent Geospatial Analytics: Challenges and Applications. https://doi.org/10.1201/9781003270928-5
Thibaud, J.-P. (2015). The backstage of urban ambiances: When atmospheres pervade everyday experience. Emotion, Space and Society, 15, 39–46. https://doi.org/10.1016/j.emospa.2014.07.001
Vanhatalo, S., Liedes, H., & Pennanen, K. (2022). Nature ambience in a lunch restaurant has the potential to evoke positive emotions, reduce stress, and support healthy food choices and sustainable behavior: A field experiment among Finnish customers. Foods, 11(7), 964. https://doi.org/10.3390/foods11070964
Wang, Y.-C., Liu, C.-R., Huang, W.-S., & Chen, S.-P. (2020). Destination fascination and destination loyalty: Subjective well-being and destination attachment as mediators. Journal of Travel Research, 59(3), 496–511. https://doi.org/10.1177/0047287519839777
Yang, M., Jiang, P., Zang, T., & Liu, Y. (2023). Data-driven intelligent computational design for products: Method, techniques, and applications. Journal of Computational Design and Engineering, 10(4), 1561–1578. https://doi.org/10.1093/jcde/qwad070
Zhang, L., & Sanake, S. (2020). Social welfare-based human comfort aggregation model to facilitate healthy and comfortable indoor environments. Journal of Architectural Engineering, 26(3). https://doi.org/10.1061/(ASCE)AE.1943-5568.0000422