IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v166y2021ics0040162521000767.html
   My bibliography  Save this article

Mobile apps for healthy living: Factors influencing continuance intention for health apps

Author

Listed:
  • Yan, Min
  • Filieri, Raffaele
  • Raguseo, Elisabetta
  • Gorton, Matthew

Abstract

The desire to maintain a healthy lifestyle is growing amongst consumers globally as well as the adoption of health apps. Prior research investigates what affects adoption of a health app, but few studies consider Continuance Intention (CI) for mobile health apps. Drawing on the Information Systems Continuance Model and integrating social (i.e. subjective norms) and psychological factors (i.e. flow experience, health consciousness, behavioral change techniques), we develop a framework testing the factors influencing users’ CI for health apps. The model is validated using PLS analysis and data from 397 health app users from China. The study finds that perceived usefulness, perceived ease of use, flow experience and behavioral change techniques are significant predictors of CI, and satisfaction mediates these effects. Health consciousness positively moderates the effect between perceived usefulness and satisfaction and negatively moderates the effect between perceived ease of use and satisfaction. Lessons for app developers, marketers and health practitioners are drawn.

Suggested Citation

  • Yan, Min & Filieri, Raffaele & Raguseo, Elisabetta & Gorton, Matthew, 2021. "Mobile apps for healthy living: Factors influencing continuance intention for health apps," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  • Handle: RePEc:eee:tefoso:v:166:y:2021:i:c:s0040162521000767
    DOI: 10.1016/j.techfore.2021.120644
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162521000767
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2021.120644?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. Schelling, Thomas C, 1984. "Self-Command in Practice, in Policy, and in a Theory of Rational Choice," American Economic Review, American Economic Association, vol. 74(2), pages 1-11, May.
    3. Unido, 2000. "International Yearbook of Industrial Statistics 2000," Books, Edward Elgar Publishing, number 1986.
    4. Yuan, Denghua & Lin, Zhibin & Filieri, Raffaele & Liu, Ran & Zheng, Mengqin, 2020. "Managing the product-harm crisis in the digital era: The role of consumer online brand community engagement," Journal of Business Research, Elsevier, vol. 115(C), pages 38-47.
    5. 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.
    6. Donna L Hoffman & Thomas P Novak & Eileen FischerEditor & Robert KozinetsAssociate Editor, 2018. "Consumer and Object Experience in the Internet of Things: An Assemblage Theory Approach," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(6), pages 1178-1204.
    7. Elena Chatzopoulou & Raffaele Filieri & Shannon Arzu Dogruyol, 2020. "Instagram and body image: Motivation to conform to the “Instabod” and consequences on young male wellbeing," Journal of Consumer Affairs, Wiley Blackwell, vol. 54(4), pages 1270-1297, December.
    8. Christiane Krieger-Boden, 2002. "EMU and the Industrial Specialisation of European Regions," Advances in Spatial Science, in: Juan R. Cuadrado-Roura & Martí Parellada (ed.), Regional Convergence in the European Union, chapter 4, pages 77-94, Springer.
    9. Office of Health Economics, 2000. "Improving Population Health in Industrialised Nations," Monograph 000459, Office of Health Economics.
    10. Newsom, Jason T. & McFarland, Bentson H. & Kaplan, Mark S. & Huguet, Nathalie & Zani, Brigid, 2005. "The health consciousness myth: implications of the near independence of major health behaviors in the North American population," Social Science & Medicine, Elsevier, vol. 60(2), pages 433-437, January.
    11. Johnson, Michael D. & Fornell, Claes, 1991. "A framework for comparing customer satisfaction across individuals and product categories," Journal of Economic Psychology, Elsevier, vol. 12(2), pages 267-286, June.
    12. Alan D. Lopez & Colin D. Mathers & Majid Ezzati & Dean T. Jamison & Christopher J. L. Murray, 2006. "Global Burden of Disease and Risk Factors," World Bank Publications - Books, The World Bank Group, number 7039, December.
    13. Wasim Ahmad & Jin Sun, 2018. "Antecedents of SMMA continuance intention in two culturally diverse countries: An empirical examination," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 21(1), pages 45-68, January.
    14. Lin, Zhibin & Filieri, Raffaele, 2015. "Airline passengers’ continuance intention towards online check-in services: The role of personal innovativeness and subjective knowledge," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 158-168.
    15. Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
    16. Xi Zhang & Xiangda Yan & Xiongfei Cao & Yongqiang Sun & Hui Chen & Jinghuai She, 2018. "The role of perceived e-health literacy in users’ continuance intention to use mobile healthcare applications: an exploratory empirical study in China," Information Technology for Development, Taylor & Francis Journals, vol. 24(2), pages 198-223, April.
    17. Filieri, Raffaele, 2015. "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM," Journal of Business Research, Elsevier, vol. 68(6), pages 1261-1270.
    18. M A H Dempster & N Hicks Pedrón & E A Medova & J E Scott & A Sembos, 2000. "Planning logistics operations in the oil industry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(11), pages 1271-1288, November.
    19. Wang, Yichuan & Kung, LeeAnn & Byrd, Terry Anthony, 2018. "Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 3-13.
    20. Christy M.K. Cheung & Matthew K.O. Lee & Zach W.Y. Lee, 2013. "Understanding the continuance intention of knowledge sharing in online communities of practice through the post‐knowledge‐sharing evaluation processes," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(7), pages 1357-1374, July.
    21. Schröder, Christoph, 2000. "Industrielle Arbeitskosten im internationalen Vergleich," IW-Trends – Vierteljahresschrift zur empirischen Wirtschaftsforschung, Institut der deutschen Wirtschaft (IW) / German Economic Institute, vol. 27(3), pages 77-91.
    22. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    23. 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.
    24. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    25. Wang, Xia & Yu, Chunling & Wei, Yujie, 2012. "Social Media Peer Communication and Impacts on Purchase Intentions: A Consumer Socialization Framework," Journal of Interactive Marketing, Elsevier, vol. 26(4), pages 198-208.
    26. Hoffman, Donna L. & Novak, Thomas P., 2009. "Flow Online: Lessons Learned and Future Prospects," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 23-34.
    27. Krasnova, Hanna & Veltri, Natasha & Eling, Nicole & Buxmann, Peter, 2017. "Why men and women continue to use social networking sites: The role of gender differences," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 87720, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    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. Yu Fu & Yuanyuan Wang & Xinhui Ye & Weifang Wu & Jianfeng Wu, 2023. "Satisfaction with and Continuous Usage Intention towards Mobile Health Services: Translating Users’ Feedback into Measurement," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    2. Perez-Aranda, Javier & González Robles, Eva M. & Alarcón Urbistondo, Pilar, 2023. "Understanding antecedents of continuance and revisit intentions: The case of sport apps," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    3. Cenamor, Javier, 2022. "Use of health self-management platform features: The case of a specialist ehealth app," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    4. Olatunji A. Shobande & Lawrence Ogbeifun & Simplice A. Asongu, 2022. "Globalisation, technology and global health," Working Papers of the African Governance and Development Institute. 22/070, African Governance and Development Institute..
    5. Hoffmann, Stefan & Lasarov, Wassili & Reimers, Hanna, 2022. "Carbon footprint tracking apps. What drives consumers' adoption intention?," Technology in Society, Elsevier, vol. 69(C).
    6. Eunhye Kim & Semi Han, 2021. "Determinants of Continuance Intention to Use Health Apps among Users over 60: A Test of Social Cognitive Model," IJERPH, MDPI, vol. 18(19), pages 1-19, October.
    7. Shaygan, Amir & Daim, Tugrul, 2023. "Technology management maturity assessment model in healthcare research centers," Technovation, Elsevier, vol. 120(C).
    8. Yanmei Jiang & Antonio K. W. Lau, 2023. "Understanding Post-Adoption Behavioral Intentions of Mobile Health Service Users: An Empirical Study during COVID-19," IJERPH, MDPI, vol. 20(5), pages 1-21, February.
    9. Fuyong Lu & Xintao Wang & Siheng Li & Qun Zhao, 2023. "How Mobile Health Livingstreaming Engages the Consumer-Insights from a Dual-Process Model," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    10. Najmul Hasan & Reajmin Sultana & Yukun Bao, 2022. "Re-Conceptualizing the Drivers Toward mHealth Adoption in a Least Developing Country: A Qualitative Exploration," SAGE Open, , vol. 12(2), pages 21582440221, April.

    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. Fuyong Lu & Xintao Wang & Xian Huang, 2023. "Counseling for Health: How Psychological Distance Influences Continuance Intention towards Mobile Medical Consultation," IJERPH, MDPI, vol. 20(3), pages 1-21, January.
    2. Apoorva Ghosh & Pranabesh Ray, 2012. "A Contemporary Model for Industrial Relations," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 37(1), pages 17-30, February.
    3. Daniel Belanche & Marta Flavián & Alfredo Pérez-Rueda, 2020. "Mobile Apps Use and WOM in the Food Delivery Sector: The Role of Planned Behavior, Perceived Security and Customer Lifestyle Compatibility," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    4. Steiner, Michael & Wiegand, Nico & Eggert, Andreas & Backhaus, Klaus, 2016. "Platform adoption in system markets: The roles of preference heterogeneity and consumer expectations," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 276-296.
    5. 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.
    6. 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.
    7. Chen, Shih-Chih & Hung, Chung-Wen, 2016. "Elucidating the factors influencing the acceptance of green products: An extension of theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 155-163.
    8. 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.
    9. 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).
    10. Cowan, Kelly R. & Daim, Tugrul U., 2011. "Review of technology acquisition and adoption research in the energy sector," Technology in Society, Elsevier, vol. 33(3), pages 183-199.
    11. Chia-Chien Hsu & Brian Sandford & Chia-Ju Ling & Ching-Torng Lin, 2021. "Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    12. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    13. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    14. Yiming Shao & Zhugen Wang & Zhiwei Zhou & Haojing Chen & Yuanlong Cui & Zhenghuan Zhou, 2022. "Determinants Affecting Public Intention to Use Micro-Vertical Farming: A Survey Investigation," Sustainability, MDPI, vol. 14(15), pages 1-26, July.
    15. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    16. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    17. Chua Chang Jin & Lim Chee Seong & Aye Aye Khin, 2019. "Factors Affecting the Consumer Acceptance towards Fintech Products and Services in Malaysia," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 59-65, January.
    18. Nguyet Thi Tran & Dirk Weichgrebe, 2020. "Regional material flow behaviors of agro‐food processing craft villages in Red River Delta, Vietnam," Journal of Industrial Ecology, Yale University, vol. 24(3), pages 707-725, June.
    19. Yang, Byunghwa & Kim, Youngchan & Yoo, Changjo, 2013. "The integrated mobile advertising model: The effects of technology- and emotion-based evaluations," Journal of Business Research, Elsevier, vol. 66(9), pages 1345-1352.
    20. Guych Nuryyev & Yu-Ping Wang & Jennet Achyldurdyyeva & Bih-Shiaw Jaw & Yi-Shien Yeh & Hsien-Tang Lin & Li-Fan Wu, 2020. "Blockchain Technology Adoption Behavior and Sustainability of the Business in Tourism and Hospitality SMEs: An Empirical Study," Sustainability, MDPI, vol. 12(3), pages 1-21, February.

    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:eee:tefoso:v:166:y:2021:i:c:s0040162521000767. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.