IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v115y2020icp225-233.html

Determinants of users’ continuance intention toward digital innovations: Are late adopters different?

Author

Listed:
  • Jahanmir, Sara F.
  • Silva, Graça Miranda
  • Gomes, Paulo J.
  • Gonçalves, Helena Martins

Abstract

This study examines the users of digital innovations with covariance-based structural equation modeling (CBSEM) and a fuzzy-set qualitative comparative analysis (fsQCA) to understand the factors that drive their continuance intention. We examine the interplay between the perceptual factors related to the user experience with a digital product and personal factors that characterize late adoption. The findings highlight that perceived radicalness is a core condition to achieve the users’ continuance intention in a digital context. The findings contribute to theory by providing a better understanding of how personal factors in adoption interact with other determinants of the continuance intention. The study also presents practical implications. The results show that in the case of late adopters, firms should invest in both the radicalness and high system quality of their digital innovations.

Suggested Citation

  • Jahanmir, Sara F. & Silva, Graça Miranda & Gomes, Paulo J. & Gonçalves, Helena Martins, 2020. "Determinants of users’ continuance intention toward digital innovations: Are late adopters different?," Journal of Business Research, Elsevier, vol. 115(C), pages 225-233.
    • Handle: RePEc:eee:jbrese:v:115:y:2020:i:c:p:225-233
    DOI: 10.1016/j.jbusres.2019.11.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296319306848
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2019.11.010?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Frambach, Ruud T. & Fiss, Peer C. & Ingenbleek, Paul T.M., 2016. "How important is customer orientation for firm performance? A fuzzy set analysis of orientations, strategies, and environments," Journal of Business Research, Elsevier, vol. 69(4), pages 1428-1436.
    2. Jahanmir, Sara F. & Lages, Luis Filipe, 2016. "The late-adopter scale: A measure of late adopters of technological innovations," Journal of Business Research, Elsevier, vol. 69(5), pages 1701-1706.
    3. Gary L. Lilien & Pamela D. Morrison & Kathleen Searls & Mary Sonnack & Eric von Hippel, 2002. "Performance Assessment of the Lead User Idea-Generation Process for New Product Development," Management Science, INFORMS, vol. 48(8), pages 1042-1059, August.
    4. Paul Jen‐Hwa Hu & Susan A. Brown & James Y.L. Thong & Frank K.Y. Chan & Kar Yan Tam, 2009. "Determinants of service quality and continuance intention of online services: The case of eTax," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 292-306, February.
    5. Meuter, Matthew L. & Ostrom, Amy L. & Bitner, Mary Jo & Roundtree, Robert, 2003. "The influence of technology anxiety on consumer use and experiences with self-service technologies," Journal of Business Research, Elsevier, vol. 56(11), pages 899-906, November.
    6. Jahanmir, Sara F. & Cavadas, Joana, 2018. "Factors affecting late adoption of digital innovations," Journal of Business Research, Elsevier, vol. 88(C), pages 337-343.
    7. Rajagopal, 2014. "Organizations and Innovation," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 3, pages 58-86, Palgrave Macmillan.
    8. Abbie Griffin & John R. Hauser, 1993. "The Voice of the Customer," Marketing Science, INFORMS, vol. 12(1), pages 1-27.
    9. Nascimento, Bruno & Oliveira, Tiago & Tam, Carlos, 2018. "Wearable technology: What explains continuance intention in smartwatches?," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 157-169.
    10. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    11. Sung S. Kim & Naresh K. Malhotra & Sridhar Narasimhan, 2005. "Research Note—Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison," Information Systems Research, INFORMS, vol. 16(4), pages 418-432, December.
    12. Liébana-Cabanillas, Francisco & Molinillo, Sebastian & Ruiz-Montañez, Miguel, 2019. "To use or not to use, that is the question: Analysis of the determining factors for using NFC mobile payment systems in public transportation," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 266-276.
    13. Myungwoo Nam & Jing Wang & Angela Y. Lee, 2012. "The Difference between Differences: How Expertise Affects Diagnosticity of Attribute Alignability," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(4), pages 736-750.
    14. Akter, Shahriar & Wamba, Samuel Fosso & D’Ambra, John, 2019. "Enabling a transformative service system by modeling quality dynamics," International Journal of Production Economics, Elsevier, vol. 207(C), pages 210-226.
    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. Wang, Nan & Xie, Wenxuan & Ali, Ahsan & Brem, Alexander & Wang, Shouyang, 2022. "How do individual characteristics and social capital shape users’ continuance intentions of smart wearable products?," Technology in Society, Elsevier, vol. 68(C).
    2. Christou, Prokopis & Hadjielias, Elias & Simillidou, Aspasia & Kvasova, Olga, 2023. "The use of intelligent automation as a form of digital transformation in tourism: Towards a hybrid experiential offering," Journal of Business Research, Elsevier, vol. 155(PB).
    3. Desheng Yu & Lihua Yang & Yuping Xu, 2022. "The Impact of the Digital Economy on High-Quality Development: An Analysis Based on the National Big Data Comprehensive Test Area," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    4. Hyeon Jo & Youngsok Bang, 2024. "RETRACTED ARTICLE: From storefront to screen: an in-depth analysis of the dynamics of online for offline retailing," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    5. Xingteng Li & Yue-e Chen, 2024. "How Does Management Control Affect New Product Development Performance? A Research Methodology with OLS and fsQCA," Sustainability, MDPI, vol. 16(24), pages 1-19, December.
    6. Chaouali, Walid & Hammami, Samiha Mjahed & Cristóvão Veríssimo, José Manuel & Harris, Lloyd C. & El-Manstrly, Dahlia & Woodside, Arch G., 2022. "Customers who misbehave: Identifying restaurant guests “acting out†via asymmetric case models," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).

    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. Vaquero Martín, María, 2021. "Communicating new product development openness – The impact on consumer perceptions and intentions," European Management Journal, Elsevier, vol. 39(6), pages 802-815.
    2. Meinel, Martin & Eismann, Tobias T. & Baccarella, Christian V. & Fixson, Sebastian K. & Voigt, Kai-Ingo, 2020. "Does applying design thinking result in better new product concepts than a traditional innovation approach? An experimental comparison study," European Management Journal, Elsevier, vol. 38(4), pages 661-671.
    3. Lin Jia & Xiuwei Song & Dianne Hall, 2022. "Influence of Habits on Mobile Payment Acceptance: An Ecosystem Perspective," Information Systems Frontiers, Springer, vol. 24(1), pages 247-266, February.
    4. Chidera C. Ugwuanyi & Chukwunonso Oraedu & Chuka U. Ifediora & Ernest E. Izogo & Simplice A. Asongu & Ikechukwu J. Attamah, 2022. "Understanding drivers of self-service technologies (SSTs) satisfaction and marketing bottom lines: Evidence from Nigeria," Working Papers 22/025, European Xtramile Centre of African Studies (EXCAS).
    5. Hajiheydari, Nastaran & Delgosha, Mohammad Soltani & Olya, Hossein, 2021. "Scepticism and resistance to IoMT in healthcare: Application of behavioural reasoning theory with configurational perspective," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    6. Schweisfurth, Tim G., 2017. "Comparing internal and external lead users as sources of innovation," Research Policy, Elsevier, vol. 46(1), pages 238-248.
    7. Tseng, Shu-Mei, 2015. "Exploring the intention to continue using web-based self-service," Journal of Retailing and Consumer Services, Elsevier, vol. 24(C), pages 85-93.
    8. Douglas, Evan J. & Shepherd, Dean A. & Prentice, Catherine, 2020. "Using fuzzy-set qualitative comparative analysis for a finer-grained understanding of entrepreneurship," Journal of Business Venturing, Elsevier, vol. 35(1).
    9. Talwar, Shalini & Talwar, Manish & Kaur, Puneet & Dhir, Amandeep, 2020. "Consumers’ resistance to digital innovations: A systematic review and framework development," Australasian marketing journal, Elsevier, vol. 28(4), pages 286-299.
    10. Jeeyeon Jeong & Yaeri Kim & Taewoo Roh, 2021. "Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care," SAGE Open, , vol. 11(3), pages 21582440211, August.
    11. Yuan Wu & Jin Zhang & Shoulin Liu & Lianrui Ma, 2022. "Does Government-Led Publicity Enhance Corporate Green Behavior? Empirical Evidence from Green Xuanguan in China," Sustainability, MDPI, vol. 14(6), pages 1-32, March.
    12. Laurentiu Mincu & Thorsten Gruber, 2013. "Exploring the Factors Influencing the Intention to Use Self-Service Technologies: An Eastern European Perspective," The International Journal of Economic Behavior - IJEB, Faculty of Business and Administration, University of Bucharest, vol. 3(1), pages 59-84, December.
    13. Kum Fai Yuen & Do Thi Khanh Huyen & Xueqin Wang & Guanqiu Qi, 2020. "Factors Influencing the Adoption of Shared Autonomous Vehicles," IJERPH, MDPI, vol. 17(13), pages 1-17, July.
    14. Asrar Ahmed Sabir & Iftikhar Ahmad & Hassan Ahmad & Muhammad Rafiq & Muhammad Asghar Khan & Neelum Noreen, 2023. "Consumer Acceptance and Adoption of AI Robo-Advisors in Fintech Industry," Mathematics, MDPI, vol. 11(6), pages 1-24, March.
    15. 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).
    16. Saqib Ali & Habib Ullah & Minhas Akbar & Waheed Akhtar & Hasan Zahid, 2019. "Determinants of Consumer Intentions to Purchase Energy-Saving Household Products in Pakistan," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    17. de Jong, Jeroen P.J. & Gillert, Nils Lennart & Stock, Ruth M., 2018. "First adoption of consumer innovations: Exploring market failure and alleviating factors," Research Policy, Elsevier, vol. 47(2), pages 487-497.
    18. Sarker, Prianka & Hughes, Laurie & Malik, Tegwen & Dwivedi, Yogesh K., 2025. "Examining consumer adoption of social commerce: An extended META-UTAUT model," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    19. Claudio Giachetti & Gianluca Marchi & Riccardo Corradini, 2012. "UsersÕ ability to anticipate incremental and radical innovation in online communities: The role of product knowledge and willingness to participate in the community life," Working Papers 15, Venice School of Management - Department of Management, Università Ca' Foscari Venezia.
    20. Manon Feys & Evy Rombaut & Lieselot Vanhaverbeke, 2021. "Does a Test Ride Influence Attitude towards Autonomous Vehicles? A Field Experiment with Pretest and Posttest Measurement," Sustainability, MDPI, vol. 13(10), pages 1-20, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jbrese:v:115:y:2020:i:c:p:225-233. 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.elsevier.com/locate/jbusres .

    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.