IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i15p6311-d1441381.html
   My bibliography  Save this article

Exploring Sustainable Leisure Farm with Intelligent of Things (IoT) Technology Solution for Aging

Author

Listed:
  • Chun-Min Kuo

    (Department of Healthcare Industry Technology Development and Management, College of Management, National Chin-Yi University of Technology, Taichung 411030, Taiwan)

  • Ching-Hsin Wang

    (Department of Healthcare Industry Technology Development and Management, College of Management, National Chin-Yi University of Technology, Taichung 411030, Taiwan)

  • Chin-Yao Tseng

    (Department of Tourism and Leisure Management, College of Health Sciences, Yuanpei University of Medical Technology, Hsinchu 30015, Taiwan)

  • Ying-Chen Lo

    (Department of International Business Administration, College of Business, Chinese Culture University, Taipei 1114, Taiwan)

Abstract

Amid the increasingly severe challenges faced by traditional agricultural development, it has become necessary for farms to undergo operational transformations. In considering the direction of this transformation, the growing proportion of older adults in the population and the maturation of modern smart technologies applied to industries must be taken into account. By integrating intelligent Internet of Things (IoT) solutions to aid business operations, leisure farms are expected to provide significant benefits to both operators and visitors. Taiwan, which has long been a leader in precision agriculture, serves as a benchmark in Asia for the successful transformation of traditional farms into leisure farms, becoming a model for neighboring countries. This study investigates the transformative potential of intelligent IoT technology solutions on leisure farms, highlighting their capacity to attract senior citizens and create sustainable business models in competitive, homogeneous markets. The primary objective of this research is to uncover the advantageous factors associated with the adoption of intelligent IoT technology solutions in leisure farms. Employing a grounded theory approach, this research conducted face-to-face semi-structured interviews with 40 leisure farm operators to gain insights into the innovative and sustainable value propositions of leisure farms. This study identifies six key advantageous factors and six constraint factors. This research provides forward-looking insights into the application of intelligent IoT technology solutions in leisure farms, emphasizing strategic directions for operators. The integration of these solutions presents a unique opportunity for leisure farms to meet the demands of elderly individuals seeking safe, natural environments without compromising their interests. By offering tailored leisure activities and entertainment, these solutions enhance the quality of life of seniors and promote rural lifestyles, positioning leisure farms as innovative and competitive players in the market. The insights provided in this study can also inform government policymakers and serve as a foundation for future researchers to extend related studies from a customer perspective.

Suggested Citation

  • Chun-Min Kuo & Ching-Hsin Wang & Chin-Yao Tseng & Ying-Chen Lo, 2024. "Exploring Sustainable Leisure Farm with Intelligent of Things (IoT) Technology Solution for Aging," Sustainability, MDPI, vol. 16(15), pages 1-18, July.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6311-:d:1441381
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/15/6311/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/15/6311/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elisa Alén & Nieves Losada & Pablo de Carlos, 2017. "Profiling the segments of senior tourists throughout motivation and travel characteristics," Current Issues in Tourism, Taylor & Francis Journals, vol. 20(14), pages 1454-1469, October.
    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. Viera Papcunová & Viera Papcunová & Michal Levický & Jarmila Hudáková & Alexandra Gelnická, 2023. "Senior tourism from the point of view of customers' preferences," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 11(2), pages 199-214, December.
    2. Haodong Sun & Yang Yang & Yanyan Chen & Xiaoming Liu & Jiachen Wang, 2023. "Tourism demand forecasting of multi-attractions with spatiotemporal grid: a convolutional block attention module model," Information Technology & Tourism, Springer, vol. 25(2), pages 205-233, June.
    3. Graham, Anne & Kruse, Willy & Budd, Lucy & Kremarik, Frances & Ison, Stephen, 2023. "Ageing passenger perceptions of ground access journeys to airports: A survey of UK residents," Journal of Air Transport Management, Elsevier, vol. 107(C).
    4. McKercher, Bob, 2023. "Age or generation? Understanding behaviour differences," Annals of Tourism Research, Elsevier, vol. 103(C).
    5. Liliana Popescu & Claudia Daniela Albă & Mirela Mazilu & Cristina Șoșea, 2023. "‘Should I Go or Should I Stay?’ Why Do Romanians Choose the Bulgarian Seaside for Their Summer Holiday?," Sustainability, MDPI, vol. 15(15), pages 1-18, July.

    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:16:y:2024:i:15:p:6311-:d:1441381. 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.