IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i8p4490-d538128.html
   My bibliography  Save this article

Assessment of Indoor Environmental Quality in Budget Hotels Using Text-Mining Method: Case Study of Top Five Brands in China

Author

Listed:
  • Zhifeng Shen

    (School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Xirui Yang

    (School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Chunlu Liu

    (School of Architecture and Built Environment, Deakin University, Geelong, VIC 3220, Australia)

  • Junjie Li

    (School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China)

Abstract

Guests’ evaluation of indoor environmental quality (IEQ) is important for identifying environment quality problems in hotels and improving service quality. This paper aims to identify IEQ problems in budget hotels in China and improve them. Specifically, 2.06 million online reviews of budget hotels were used to assess IEQ issues in China’s budget hotels in four areas: acoustic environment, luminous environment, indoor air quality (IAQ) and thermal environment. The influences of the season, region and type of customers on the IEQ evaluation were also explored, and the main causes of IEQ problems were also identified. The research results show that the IEQ complaint rates of budget hotels are relatively high. In particular, complaints about the acoustic environment are more common. Differences in seasons and climate zones have significant effects on complaints about the acoustic environment, thermal environment and IAQ. Different types of customers have different concerns about hotel IEQ, among which solo travelers and traveling couples have higher requirements for IEQ. The occurrence of IEQ problems significantly reduces a hotel’s online rating, with IAQ and the thermal environment having the greatest impacts, but the causal factors that trigger IEQ problems are relatively concentrated. The findings of this paper can provide a reference for assessing IEQ problems in hotel buildings and guide hotel managers to adopt targeted IEQ improvement programs to promote sustainable development in the hotel industry.

Suggested Citation

  • Zhifeng Shen & Xirui Yang & Chunlu Liu & Junjie Li, 2021. "Assessment of Indoor Environmental Quality in Budget Hotels Using Text-Mining Method: Case Study of Top Five Brands in China," Sustainability, MDPI, vol. 13(8), pages 1-24, April.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4490-:d:538128
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/8/4490/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/8/4490/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
    2. Baifeng Sun & Leon Yongdan Liu & Wilco Waihung Chan & Carol Xiaoyue Zhang & Xingqi Chen, 2021. "Signals of Hotel Effort on Enhancing IAQ and Booking Intention: Effect of Customer’s Body Mass Index Associated with Sustainable Marketing in Tourism," Sustainability, MDPI, vol. 13(3), pages 1-20, January.
    3. Vicente López-Chao & Antonio Amado Lorenzo & Jose Luis Saorín & Jorge De La Torre-Cantero & Dámari Melián-Díaz, 2020. "Classroom Indoor Environment Assessment through Architectural Analysis for the Design of Efficient Schools," Sustainability, MDPI, vol. 12(5), pages 1-12, March.
    4. Anna Devitofrancesco & Lorenzo Belussi & Italo Meroni & Fabio Scamoni, 2019. "Development of an Indoor Environmental Quality Assessment Tool for the Rating of Offices in Real Working Conditions," Sustainability, MDPI, vol. 11(6), pages 1-17, March.
    5. Peter Kapalo & Silvia Vilčeková & Ľudmila Mečiarová & Florin Domnita & Mariusz Adamski, 2020. "Influence of Indoor Climate on Employees in Office Buildings—A Case Study," Sustainability, MDPI, vol. 12(14), pages 1-11, July.
    6. Szczurek, Andrzej & Maciejewska, Monika & Teuerle, Marek & Wyłomańska, Agnieszka, 2015. "Method to characterize collective impact of factors on indoor air," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 190-199.
    7. Babin, Barry J. & Attaway, Jill S., 2000. "Atmospheric Affect as a Tool for Creating Value and Gaining Share of Customer," Journal of Business Research, Elsevier, vol. 49(2), pages 91-99, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marek Borowski & Klaudia Zwolińska & Marcin Czerwiński, 2022. "An Experimental Study of Thermal Comfort and Indoor Air Quality—A Case Study of a Hotel Building," Energies, MDPI, vol. 15(6), pages 1-18, March.

    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. Wang, Binni & Wang, Pong & Tu, Yiliu, 2021. "Customer satisfaction service match and service quality-based blockchain cloud manufacturing," International Journal of Production Economics, Elsevier, vol. 240(C).
    2. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    3. Sangeeta Peter & Victor Anandkumar, 2016. "Deconstructing the shopping experience of tourists to the Dubai Shopping Festival," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1199109-119, December.
    4. Jéssica Kuntz Maykot & Candi Citadini de Oliveira & Enedir Ghisi & Ricardo Forgiarini Rupp, 2022. "Influence of Gender on Thermal, Air-Movement, Humidity and Air-Quality Perception in Mixed-Mode and Fully Air-Conditioned Offices," Sustainability, MDPI, vol. 14(15), pages 1-13, August.
    5. M. Narciso, 2022. "The Unreliability of Online Review Mechanisms," Journal of Consumer Policy, Springer, vol. 45(3), pages 349-368, September.
    6. Ian Sutherland & Youngseok Sim & Seul Ki Lee & Jaemun Byun & Kiattipoom Kiatkawsin, 2020. "Topic Modeling of Online Accommodation Reviews via Latent Dirichlet Allocation," Sustainability, MDPI, vol. 12(5), pages 1-15, February.
    7. Fuentes, Christian & Bäckström, Kristina & Svingstedt, Anette, 2017. "Smartphones and the reconfiguration of retailscapes: Stores, shopping, and digitalization," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 270-278.
    8. Jiacong Wu & Yu Wang & Ru Zhang & Jing Cai, 2018. "An Approach to Discovering Product/Service Improvement Priorities: Using Dynamic Importance-Performance Analysis," Sustainability, MDPI, vol. 10(10), pages 1-26, October.
    9. Zuo, Wenming & Bai, Weijing & Zhu, Wenfeng & He, Xinming & Qiu, Xinxin, 2022. "Changes in service quality of sharing accommodation: Evidence from airbnb," Technology in Society, Elsevier, vol. 71(C).
    10. Tahereh Dehdarirad & Kalle Karlsson, 2021. "News media attention in Climate Action: latent topics and open access," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 8109-8128, September.
    11. Shuyue Huang & Lena Jingen Liang & Hwansuk Chris Choi, 2022. "How We Failed in Context: A Text-Mining Approach to Understanding Hotel Service Failures," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    12. Maggioni, Isabella & Sands, Sean & Kachouie, Reza & Tsarenko, Yelena, 2019. "Shopping for well-being: The role of consumer decision-making styles," Journal of Business Research, Elsevier, vol. 105(C), pages 21-32.
    13. Garaus, Marion & Wagner, Udo & Manzinger, Sandra, 2017. "Happy grocery shopper: The creation of positive emotions through affective digital signage content," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 295-305.
    14. Lo, Ada & Qu, Hailin, 2015. "A theoretical model of the impact of a bundle of determinants on tourists’ visiting and shopping intentions: A case of mainland Chinese tourists," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 231-243.
    15. Davis, Lizhu & Hodges, Nancy, 2012. "Consumer shopping value: An investigation of shopping trip value, in-store shopping value and retail format," Journal of Retailing and Consumer Services, Elsevier, vol. 19(2), pages 229-239.
    16. Carmela Iorio & Giuseppe Pandolfo & Antonio D’Ambrosio & Roberta Siciliano, 2020. "Mining big data in tourism," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(5), pages 1655-1669, December.
    17. Mohamed M. Mostafa, 2023. "A one-hundred-year structural topic modeling analysis of the knowledge structure of international management research," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3905-3935, August.
    18. Rice, Stephen & Winter, Scott R., 2019. "Do gender and age affect willingness to ride in driverless vehicles: If so, then why?," Technology in Society, Elsevier, vol. 58(C).
    19. Ian Sutherland & Kiattipoom Kiatkawsin, 2020. "Determinants of Guest Experience in Airbnb: A Topic Modeling Approach Using LDA," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    20. Liu, Xiao & Li, Ming-Yang, 2024. "Sustainable service product design method: Focus on customer demands and triple bottom line," Journal of Retailing and Consumer Services, Elsevier, vol. 80(C).

    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:gam:jsusta:v:13:y:2021:i:8:p:4490-:d:538128. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.