IDEAS home Printed from https://ideas.repec.org/a/gam/jscscx/v11y2022i2p57-d740908.html
   My bibliography  Save this article

Influence of the Characteristics of Sports Sharing Economy Services on Intention of Use: The Mediating Effect of Consumer Attitude and Trust

Author

Listed:
  • Sunjung Kim

    (The Educational Research Institute, Sungshin Women’s University, Seoul 02844, Korea)

  • Kyongmin Lee

    (Department of Sport Industry, Korea National Sport University, Seoul 05541, Korea)

Abstract

This study empirically investigated the effectiveness of the characteristics of sports sharing economy services that has been highlighted recently. The study used consumers’ attitude and trust as parameters of the association between the characteristics and use intention of consumers. There are three research questions in the study. The first question is whether the characteristics of sports sharing economy services affect the consumers’ use intention. The second question is whether the characteristics of sports sharing economy services affect the attitude of consumers and the trust level in sports sharing economy services. The third question is whether the attitude and trust level of consumers mediate sports sharing economy services and use intention. A survey was conducted among college students using a convenient sampling method. We found that: (1) service characteristics such as usefulness, bonding, and consistency had a positive influence on use intention, and risk factor had a negative influence; (2) the service characteristics significantly influenced consumer attitudes and trust of the sharing economy services; usefulness, bonding, and consistency had a positive influence, and risk factor had a negative influence; and (3) the attitude and trust of consumers toward sharing economy services affected use intention; usefulness, bonding, and sustainability had a positive influence, while risk factor had a negative influence. Thus, it was confirmed that the attitude and trust level of consumers mediated sports sharing economy services and use intention. This study also suggested academic and practical implications to establish a more effective sports sharing economy service marketing strategy and develop quality content in relation to the service characteristics and consumers.

Suggested Citation

  • Sunjung Kim & Kyongmin Lee, 2022. "Influence of the Characteristics of Sports Sharing Economy Services on Intention of Use: The Mediating Effect of Consumer Attitude and Trust," Social Sciences, MDPI, vol. 11(2), pages 1-16, February.
    • Handle: RePEc:gam:jscscx:v:11:y:2022:i:2:p:57-:d:740908
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-0760/11/2/57/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2076-0760/11/2/57/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    3. Juho Hamari & Mimmi Sjöklint & Antti Ukkonen, 2016. "The sharing economy: Why people participate in collaborative consumption," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(9), pages 2047-2059, September.
    4. Ming-Chuan Chen & Chen-Fu Lee & Chien-Ming Huang, 2016. "The Effects of Corporate Social Responsibility on Equity Fund Returns: Evidence from China," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(10), pages 92-102, 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. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    2. Joan Torrent-Sellens & Cristian Salazar-Concha & Pilar Ficapal-Cusí & Francesc Saigí-Rubió, 2021. "Using Digital Platforms to Promote Blood Donation: Motivational and Preliminary Evidence from Latin America and Spain," IJERPH, MDPI, vol. 18(8), pages 1-17, April.
    3. Banu Demirel & Ayça Kübra Hızarcı Payne, 2018. "Social Innovation Adoption Behavior: The Case of Zumbara," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 1-19, April.
    4. Hallem, Associate Professor Yousra & Abbes, Associate Professor Intissar & Hikkerova, Professor Lubica & Taga, Media Planner Nadia, 2021. "A trust model for collaborative redistribution platforms:A platform design issue," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    5. Hung-Tai Tsou & Ja-Shen Chen & Cindy Yunhsin Chou & Tzu-Wen Chen, 2019. "Sharing Economy Service Experience and Its Effects on Behavioral Intention," Sustainability, MDPI, vol. 11(18), pages 1-25, September.
    6. Cheng, Peng & OuYang, Zhe & Liu, Yang, 2019. "Understanding bike sharing use over time by employing extended technology continuance theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 433-443.
    7. Małecka, Agnieszka & Mitręga, Maciej & Mróz-Gorgoń, Barbara & Pfajfar, Gregor, 2022. "Adoption of collaborative consumption as sustainable social innovation: Sociability and novelty seeking perspective," Journal of Business Research, Elsevier, vol. 144(C), pages 163-179.
    8. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    9. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    10. Peter Mantello & Manh-Tung Ho & Minh-Hoang Nguyen & Quan-Hoang Vuong, 2023. "Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    11. Fox, Stephen & Groesser, Stefan N., 2016. "Reframing the relevance of research to practice," European Management Journal, Elsevier, vol. 34(5), pages 457-465.
    12. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    13. Fatima Zahra Barrane & Gahima Egide Karuranga & Diane Poulin, 2018. "Technology Adoption and Diffusion: A New Application of the UTAUT Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-19, December.
    14. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    15. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    16. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    17. Scott, Stephanie & Hughes, Paul & Hodgkinson, Ian & Kraus, Sascha, 2019. "Technology adoption factors in the digitization of popular culture: Analyzing the online gambling market," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    18. Pan Gong & Ningshuang Zeng & Kunhui Ye & Markus König, 2019. "An Empirical Study on the Acceptance of 4D BIM in EPC Projects in China," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    19. Cabrera-Sánchez, Juan-Pedro & Villarejo-Ramos, à ngel F., 2020. "Acceptance and use of big data techniques in services companies," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    20. Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(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:jscscx:v:11:y:2022:i:2:p:57-:d:740908. 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.