IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i1p21582440221147145.html
   My bibliography  Save this article

A Descriptive Survey of Atmospheric Music Broadcasting in Hot Spring Hotels and Its Further Marketing Strategy

Author

Listed:
  • Yen-Chieh Chen
  • Meng-Chien Li
  • Shou-Der Weng
  • Yi-Chieh Wang

Abstract

The survey purposes are to preliminarily understand the current situation of atmospheric music broadcast in hot spring hotels and why these choices of music were made. We reviewed literatures regarding applied music and music types, and applied questionnaire, participant observation and unstructured interviews with hotel staff who broadcast music in the unique, famous and historic Guanzihling hot spring region of Taiwan. Results show that music is often broadcast in public areas, such as lobby and restaurants. On the contrary, there was no music broadcast in private areas, such as guest rooms and private thermal baths. Light music is the primary music choice. Music types is chosen without rules by staff who have no basic trainings in music. Possible marketing strategies for future studies include the staff trainings and construction of hotel’s own hot spring music database, and better marketing of hotel’s unique multi-sensory brand image through its distinctive and pleasant music.

Suggested Citation

  • Yen-Chieh Chen & Meng-Chien Li & Shou-Der Weng & Yi-Chieh Wang, 2023. "A Descriptive Survey of Atmospheric Music Broadcasting in Hot Spring Hotels and Its Further Marketing Strategy," SAGE Open, , vol. 13(1), pages 21582440221, January.
  • Handle: RePEc:sae:sagope:v:13:y:2023:i:1:p:21582440221147145
    DOI: 10.1177/21582440221147145
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440221147145
    Download Restriction: no

    File URL: https://libkey.io/10.1177/21582440221147145?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Banerjee, Archi & Sanyal, Shankha & Patranabis, Anirban & Banerjee, Kaushik & Guhathakurta, Tarit & Sengupta, Ranjan & Ghosh, Dipak & Ghose, Partha, 2016. "Study on Brain Dynamics by Non Linear Analysis of Music Induced EEG Signals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 110-120.
    2. Yalch, Richard F. & Spangenberg, Eric R., 2000. "The Effects of Music in a Retail Setting on Real and Perceived Shopping Times," Journal of Business Research, Elsevier, vol. 49(2), pages 139-147, August.
    3. Seonjeong (Ally) Lee & Miyoung Jeong & Haemoon Oh, 2018. "Enhancing customers’ positive responses: Applying sensory marketing to the hotel website," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 28(1), pages 68-85, January.
    4. Kim, Dohee & Park, Byung-Jin (Robert), 2017. "The moderating role of context in the effects of choice attributes on hotel choice: A discrete choice experiment," Tourism Management, Elsevier, vol. 63(C), pages 439-451.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mario Miranda & Inka Havrila, 2005. "How multicultural in-store music promoting ethnic products can help integrate a pluralistic society," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 2(1), pages 41-50, June.
    2. Imschloss, Monika & Kuehnl, Christina, 2019. "Feel the Music! Exploring the Cross-modal Correspondence between Music and Haptic Perceptions of Softness," Journal of Retailing, Elsevier, vol. 95(4), pages 158-169.
    3. Daunfeldt, Sven-Olov & Rudholm, Niklas & Sporre, Hampus, 2017. "Effects of Brand-Fit Music on Consumer Behavior: A Field Experiment," HUI Working Papers 121, HUI Research.
    4. Tsung-Yu Chou, 2022. "A Hybrid FMCDM Approach for the Evaluation and Selection of Homestays," IJERPH, MDPI, vol. 19(14), pages 1-21, July.
    5. Chao-Hung Wang & Li-Chang Hsu & Shyh-Rong Fang, 2009. "Constructing a relationship-based brand equity model," Service Business, Springer;Pan-Pacific Business Association, vol. 3(3), pages 275-292, September.
    6. Lee Yen Chaw & Chun Meng Tang, 2019. "Online accommodation booking: what information matters the most to users?," Information Technology & Tourism, Springer, vol. 21(3), pages 369-390, September.
    7. Jin Li & Yulan Zhang & Jianping Li & Jiangze Du, 2023. "The Role of Sentiment Tendency in Affecting Review Helpfulness for Durable Products: Nonlinearity and Complementarity," Information Systems Frontiers, Springer, vol. 25(4), pages 1459-1477, August.
    8. Radu Lixăndroiu & Dana Lupșa-Tătaru, 2023. "Switzerland? The Best Choice for Accommodation in Europe for Skiing in the 2023 Season," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    9. Pranay Verma, 2013. "Framework For Music As Store Atmospherics To Induce Buying: A Study Of Delhi Mall Customers," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(2), pages 81-100.
    10. Taneja, Anu & Arora, Anuja, 2019. "Modeling user preferences using neural networks and tensor factorization model," International Journal of Information Management, Elsevier, vol. 45(C), pages 132-148.
    11. Eunsoo Baek, 2018. "The Application of 3D Design Technology to Fashion Retail Research," Current Trends in Fashion Technology & Textile Engineering, Juniper Publishers Inc., vol. 2(5), pages 89-91, February.
    12. Karolina Nessel & Szczepan Kościółek & Ewa Wszendybył-Skulska & Sebastian Kopera, 2021. "Benefit segmentation in the tourist accommodation market based on eWOM attribute ratings," Information Technology & Tourism, Springer, vol. 23(2), pages 265-290, June.
    13. Enrique Bigne & Carla Ruiz & Carmen Perez-Cabañero & Antonio Cuenca, 2023. "Are customer star ratings and sentiments aligned? A deep learning study of the customer service experience in tourism destinations," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 281-314, March.
    14. Pascucci, Federica & Nardi, Lorenzo & Marinelli, Luca & Paolanti, Marina & Frontoni, Emanuele & Gregori, Gian Luca, 2022. "Combining sell-out data with shopper behaviour data for category performance measurement: The role of category conversion power," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    15. Gabriela Souza Assis & Janaina de Moura Engracia Giraldi, 2012. "Influence of musical styles on customers attitude: experimental evidences in a retail store," Brazilian Business Review, Fucape Business School, vol. 9(3), pages 94-118, July.
    16. Meda Roxana Burghelea & Ioan Plaias & Jaafar El-Murad, 2015. "The Effects of Music as an Atmospheric Variable on Consumer Behaviour in the Context of Retailing and Service Environments," International Conference on Marketing and Business Development Journal, The Bucharest University of Economic Studies, vol. 1(1), pages 377-392, July.
    17. Caruelle, Delphine & Shams, Poja & Gustafsson, Anders & Lervik-Olsen, Line, 2024. "Emotional arousal in customer experience: A dynamic view," Journal of Business Research, Elsevier, vol. 170(C).
    18. Ma, Jun & Nault, Barrie R. & Tu, Yiliu (Paul), 2023. "Customer segmentation, pricing, and lead time decisions: A stochastic-user-equilibrium perspective," International Journal of Production Economics, Elsevier, vol. 264(C).
    19. Pal, Mayukha & P., Manimaran & Panigrahi, Prasanta K., 2022. "A multi scale time–frequency analysis on Electroencephalogram signals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    20. Edem Maxwell Azila-Gbettor & Simon Mesa Kwodjo Avorga & Lydia Sylvia Danku & Eli Ayawo Atatsi, 2013. "Physical Evidence and Quality Service Delivery in Public Hospitals in Ghana," International Review of Management and Marketing, Econjournals, vol. 3(4), pages 153-163.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:13:y:2023:i:1:p:21582440221147145. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.