IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i4p21582440231217909.html
   My bibliography  Save this article

Compatibility as a Prerequisite: Research on the Factors Influencing the Continuous Use Intention of In-vehicle Games Based on Diffusion of Innovations Theory

Author

Listed:
  • Liyuan Deng
  • Dongning Li
  • Jiangjie Chen

Abstract

As an emerging game category, in-vehicle games have great development potential, but the factors influencing users’ acceptance and continuance intention of in-car games were still not determined. This study used the three perceived attributes of Diffusion of Innovations Theory, compatibility, complexity, and relative advantage, as basis and introduced perceived habits, fit, interaction quality, experience, play value, and continuous use intention to establish the users’ continuance intention model of in-vehicle games. The results of 305 valid questionnaires indicate that compatibility and play value have significant positive influence on continuance intention, of which fit shows stronger effect; perceived habits have significant influence on fit and interaction quality; both fit and quality have significant influence on experience; experience have significant influence on play value. The results of this study can provide reference for promotion design of in-vehicle games and important guidance for future development for in-vehicle game industry.

Suggested Citation

  • Liyuan Deng & Dongning Li & Jiangjie Chen, 2023. "Compatibility as a Prerequisite: Research on the Factors Influencing the Continuous Use Intention of In-vehicle Games Based on Diffusion of Innovations Theory," SAGE Open, , vol. 13(4), pages 21582440231, December.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231217909
    DOI: 10.1177/21582440231217909
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231217909
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440231217909?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. Cui, Yu & Li, Jingyi & Zhang, Yueyao, 2022. "The impacts of game experience and fanwork creation on game loyalty: Mediation effect of perceived value," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. Pei-Yu (Sharon) Chen & Lorin M. Hitt, 2002. "Measuring Switching Costs and the Determinants of Customer Retention in Internet-Enabled Businesses: A Study of the Online Brokerage Industry," Information Systems Research, INFORMS, vol. 13(3), pages 255-274, September.
    3. Hong, Areum & Nam, Changi & Kim, Seongcheol, 2020. "What will be the possible barriers to consumers’ adoption of smart home services?," Telecommunications Policy, Elsevier, vol. 44(2).
    4. Tibert Verhagen & Daniel Bloemers, 2018. "Exploring the cognitive and affective bases of online purchase intentions: a hierarchical test across product types," Electronic Commerce Research, Springer, vol. 18(3), pages 537-561, September.
    5. Chenkuo Pai & Sangguk Kang & Yumeng Liu & Yingchuan Zheng, 2021. "An Examination of Revisit Intention Based on Perceived Smart Tourism Technology Experience," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    6. Kim, Junghwan & Kim, Seongcheol & Nam, Changi, 2016. "User resistance to acceptance of In-Vehicle Infotainment (IVI) systems," Telecommunications Policy, Elsevier, vol. 40(9), pages 919-930.
    7. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 31-36, March.
    8. Jones, Michael A. & Mothersbaugh, David L. & Beatty, Sharon E., 2002. "Why customers stay: measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes," Journal of Business Research, Elsevier, vol. 55(6), pages 441-450, June.
    9. Amoroso, Donald & Lim, Ricardo, 2017. "The mediating effects of habit on continuance intention," International Journal of Information Management, Elsevier, vol. 37(6), pages 693-702.
    10. Kim, Dong-hyu & Lee, Heejin, 2016. "Effects of user experience on user resistance to change to the voice user interface of an in‑vehicle infotainment system: Implications for platform and standards competition," International Journal of Information Management, Elsevier, vol. 36(4), pages 653-667.
    11. Holbrook, Morris B & Hirschman, Elizabeth C, 1982. "The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(2), pages 132-140, September.
    12. Zhiyuan Yu & Doudou Jin & Xiaoxiao Song & Chao Zhai & Desheng Wang, 2020. "Internet of Vehicle Empowered Mobile Media Scenarios: In-Vehicle Infotainment Solutions for the Mobility as a Service (MaaS)," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    13. Shin, Jungwoo & Park, Yuri & Lee, Daeho, 2018. "Who will be smart home users? An analysis of adoption and diffusion of smart homes," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 246-253.
    14. Ahmad, Munir & Khan, Irfan & Shahzad Khan, Muhammad Qaiser & Jabeen, Gul & Jabeen, Hafiza Samra & Işık, Cem, 2023. "Households' perception-based factors influencing biogas adoption: Innovation diffusion framework," Energy, Elsevier, vol. 263(PE).
    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. Paul MUKUCHA & Divaries Cosmas JARAVAZA & Forbes MAKUDZA, 2022. "Towards Gender-Based Market Segmentation: The Differential Influence of Gender on Dining Experiences in the University Cafeteria Industry," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 7(2), pages 182-200, June.
    2. Birgul Basarir-Ozel & Hande Bahar Turker & Vesile Aslihan Nasir, 2022. "Identifying the Key Drivers and Barriers of Smart Home Adoption: A Thematic Analysis from the Business Perspective," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    3. Akdim, Khaoula & Casaló, Luis V. & Flavián, Carlos, 2022. "The role of utilitarian and hedonic aspects in the continuance intention to use social mobile apps," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    4. Pal, Debajyoti & Zhang, Xiangmin & Siyal, Saeed, 2021. "Prohibitive factors to the acceptance of Internet of Things (IoT) technology in society: A smart-home context using a resistive modelling approach," Technology in Society, Elsevier, vol. 66(C).
    5. Boehm, Martin, 2008. "Determining the impact of internet channel use on a customer's lifetime," Journal of Interactive Marketing, Elsevier, vol. 22(3), pages 2-22.
    6. Elodie Attié & Lars Meyer-Waarden, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Post-Print hal-04065165, HAL.
    7. Ying Yu & Tung-Jung Sung, 2023. "A value-based view of the smart PSS adoption: a study of smart kitchen appliances," Service Business, Springer;Pan-Pacific Business Association, vol. 17(2), pages 499-527, June.
    8. Huang, Dan & Jin, Xin & Coghlan, Alexandra, 2021. "Advances in consumer innovation resistance research: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    9. Ezlika Ghazali & Bang Nguyen & Dilip S. Mutum & Amrul Asraf Mohd-Any, 2016. "Constructing online switching barriers: examining the effects of switching costs and alternative attractiveness on e-store loyalty in online pure-play retailers," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 157-171, May.
    10. Soumya Ray & Sung S. Kim & James G. Morris, 2012. "Research Note ---Online Users' Switching Costs: Their Nature and Formation," Information Systems Research, INFORMS, vol. 23(1), pages 197-213, March.
    11. Kim, Dong-hyu & Lee, Heejin, 2016. "Effects of user experience on user resistance to change to the voice user interface of an in‑vehicle infotainment system: Implications for platform and standards competition," International Journal of Information Management, Elsevier, vol. 36(4), pages 653-667.
    12. Liu, Qian & Shao, Zhen & Fan, Weiguo, 2018. "The impact of users’ sense of belonging on social media habit formation: Empirical evidence from social networking and microblogging websites in China," International Journal of Information Management, Elsevier, vol. 43(C), pages 209-223.
    13. Chen, Kee-Kuo & Ho, Hui-Ping & Chang, Ching-Ter, 2015. "Estimating attributes importance for container shipping industry by closing the listening gap with maximum convergent validity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 145-163.
    14. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    15. Zhiyuan Yu & Doudou Jin, 2021. "Determinants of Users’ Attitude and Intention to Intelligent Connected Vehicle Infotainment in the 5G-V2X Mobile Ecosystem," IJERPH, MDPI, vol. 18(19), pages 1-19, September.
    16. Balabanis, George & Reynolds, Nina & Simintiras, Antonis, 2006. "Bases of e-store loyalty: Perceived switching barriers and satisfaction," Journal of Business Research, Elsevier, vol. 59(2), pages 214-224, February.
    17. Xi Chen & Chunlan Jiao & Ran Ji & Yu Li, 2021. "Examining Customer Motivation and Its Impact on Customer Engagement Behavior in Social Media: The Mediating Effect of Brand Experience," SAGE Open, , vol. 11(4), pages 21582440211, October.
    18. Wu, Lei-Yu & Chen, Kuan-Yang & Chen, Po-Yuan & Cheng, Shu-Ling, 2014. "Perceived value, transaction cost, and repurchase-intention in online shopping: A relational exchange perspective," Journal of Business Research, Elsevier, vol. 67(1), pages 2768-2776.
    19. Chen, Kee Kuo & Chiu, Rong-Her & Chang, Ching-Ter, 2017. "Using beta regression to explore the relationship between service attributes and likelihood of customer retention for the container shipping industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 1-16.
    20. Kim, Hyung Jin & Kim, Inchan & Lee, Hogeun, 2016. "Third-party mobile app developers’ continued participation in platform-centric ecosystems: An empirical investigation of two different mechanisms," International Journal of Information Management, Elsevier, vol. 36(1), pages 44-59.

    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:4:p:21582440231217909. 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.