IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v89y2018icp442-447.html
   My bibliography  Save this article

Usage intensity of mobile medical apps: A tale of two methods

Author

Listed:
  • Veríssimo, José Manuel Cristóvão

Abstract

Web 2.0 technologies have changed the traditional relationship model between doctors and third parties, and a plethora of apps are now available for the medical profession. This study presents unpublished findings about the potential drivers that currently influence mobile medical app usage intensity. Logistic regression and fuzzy-set qualitative comparative analysis (fsQCA) are both used to examine usage intensity. By using two research methods, rather than just one, the findings are greatly enhanced. Logistic regression results show that high usage intensity is explained by high perceived usefulness and high perceived ease of use. FsQCA, on the other hand, highlights that the combinations of multiple conditions are also significant, leading to the finding that low mobile medical app usage intensity is associated with low perceived ease of use, high perceived usefulness, low peer influence, high seniority, and younger female doctors.

Suggested Citation

  • Veríssimo, José Manuel Cristóvão, 2018. "Usage intensity of mobile medical apps: A tale of two methods," Journal of Business Research, Elsevier, vol. 89(C), pages 442-447.
    • Handle: RePEc:eee:jbrese:v:89:y:2018:i:c:p:442-447
    DOI: 10.1016/j.jbusres.2017.12.026
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296317305209
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2017.12.026?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. Ragin, Charles C., 2000. "Fuzzy-Set Social Science," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226702773, April.
    2. Arch G. Woodside & Alexandre Schpektor & Xin Xia, 2013. "Triple Sense-Making of Findings from Marketing Experiments Using the Dominant Variable Based-Logic, Case-Based Logic, and Isomorphic Modeling," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 12(2), pages 131-153, December.
    3. Grohs, Reinhard & Raies, Karine & Koll, Oliver & Mühlbacher, Hans, 2016. "One pie, many recipes: Alternative paths to high brand strength," Journal of Business Research, Elsevier, vol. 69(6), pages 2244-2251.
    4. 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.
    5. Wu, Pei-Ling & Yeh, Shih-Shuo & Huan, Tzung-Cheng (.T.C.). & Woodside, Arch G., 2014. "Applying complexity theory to deepen service dominant logic: Configural analysis of customer experience-and-outcome assessments of professional services for personal transformations," Journal of Business Research, Elsevier, vol. 67(8), pages 1647-1670.
    6. Ragin, Charles C., 2006. "Set Relations in Social Research: Evaluating Their Consistency and Coverage," Political Analysis, Cambridge University Press, vol. 14(3), pages 291-310, July.
    7. Woodside, Arch G., 2014. "Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities," Journal of Business Research, Elsevier, vol. 67(12), pages 2495-2503.
    8. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    9. Chou, W.-Y.S. & Prestin, A. & Lyons, C. & Wen, K.-Y., 2013. "Web 2.0 for health promotion: Reviewing the current evidence," American Journal of Public Health, American Public Health Association, vol. 103(1), pages 9-18.
    10. repec:ucp:bkecon:9780226702766 is not listed on IDEAS
    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. McLean, Graeme & Osei-Frimpong, Kofi & Al-Nabhani, Khalid & Marriott, Hannah, 2020. "Examining consumer attitudes towards retailers' m-commerce mobile applications – An initial adoption vs. continuous use perspective," Journal of Business Research, Elsevier, vol. 106(C), pages 139-157.

    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. Ferguson, Graham & Megehee, Carol M. & Woodside, Arch G., 2017. "Culture, religiosity, and economic configural models explaining tipping-behavior prevalence across nations," Tourism Management, Elsevier, vol. 62(C), pages 218-233.
    2. Ferguson, Graham & Megehee, Carol M. & Woodside, Arch G., 2018. "Applying asymmetric, case-based, forecasting modeling in service research: Cultures’ consequences on customers’ service gratuities," Australasian marketing journal, Elsevier, vol. 26(4), pages 369-381.
    3. Hervas-Oliver, Jose-Luis & Sempere-Ripoll, Francisca & Arribas, Ivan, 2015. "Asymmetric modeling of organizational innovation," Journal of Business Research, Elsevier, vol. 68(12), pages 2654-2662.
    4. 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).
    5. Veríssimo, José Manuel Cristóvão, 2016. "Enablers and restrictors of mobile banking app use: A fuzzy set qualitative comparative analysis (fsQCA)," Journal of Business Research, Elsevier, vol. 69(11), pages 5456-5460.
    6. Stephan M. Liozu & Sven Feurer & Andreas Hinterhuber & Arch Woodside, 2021. "Configurational theory and practices of firms employing multiple pricing policies: assessing effective and ineffective pricing recipes in multiple firm contexts," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(4), pages 420-435, August.
    7. Raïes, Karine & Mühlbacher, Hans & Gavard-Perret, Marie-Laure, 2015. "Consumption community commitment: Newbies' and longstanding members' brand engagement and loyalty," Journal of Business Research, Elsevier, vol. 68(12), pages 2634-2644.
    8. Ren, Shengce & Tsai, Huei-Ting & Eisingerich, Andreas B., 2016. "Case-based asymmetric modeling of firms with high versus low outcomes in implementing changes in direction," Journal of Business Research, Elsevier, vol. 69(2), pages 500-507.
    9. Ageeva, Elena & Melewar, T.C. & Foroudi, Pantea & Dennis, Charles & Jin, Zhongqi, 2018. "Examining the influence of corporate website favorability on corporate image and corporate reputation: Findings from fsQCA," Journal of Business Research, Elsevier, vol. 89(C), pages 287-304.
    10. Sascha Kraus & Domingo Ribeiro-Soriano & Miriam Schüssler, 2018. "Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research – the rise of a method," International Entrepreneurship and Management Journal, Springer, vol. 14(1), pages 15-33, March.
    11. Leischnig, Alexander & Henneberg, Stephan C. & Thornton, Sabrina C., 2016. "Net versus combinatory effects of firm and industry antecedents of sales growth," Journal of Business Research, Elsevier, vol. 69(9), pages 3576-3583.
    12. Grohs, Reinhard & Raies, Karine & Koll, Oliver & Mühlbacher, Hans, 2016. "One pie, many recipes: Alternative paths to high brand strength," Journal of Business Research, Elsevier, vol. 69(6), pages 2244-2251.
    13. Sheng, Margaret L. & Chien, Iting, 2016. "Rethinking organizational learning orientation on radical and incremental innovation in high-tech firms," Journal of Business Research, Elsevier, vol. 69(6), pages 2302-2308.
    14. Russo, Ivan & Confente, Ilenia & Gligor, David M. & Autry, Chad W., 2016. "To be or not to be (loyal): Is there a recipe for customer loyalty in the B2B context?," Journal of Business Research, Elsevier, vol. 69(2), pages 888-896.
    15. Katarzyna Boratynska, 2021. "Determinants of Economic Fragility in Central and Eastern European Countries FsQCA Approach," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 827-837.
    16. Delgado García, Juan Bautista & De Quevedo Puente, Esther, 2016. "The complex link of city reputation and city performance. Results for fsQCA analysis," Journal of Business Research, Elsevier, vol. 69(8), pages 2830-2839.
    17. Pappas, Nikolaos & Caputo, Andrea & Pellegrini, Massimiliano Matteo & Marzi, Giacomo & Michopoulou, Eleni, 2021. "The complexity of decision-making processes and IoT adoption in accommodation SMEs," Journal of Business Research, Elsevier, vol. 131(C), pages 573-583.
    18. Katarzyna Boratyńska, 2021. "A New Approach for Risk of Corporate Bankruptcy Assessment during the COVID-19 Pandemic," JRFM, MDPI, vol. 14(12), pages 1-14, December.
    19. Rana Mostaghel & Pejvak Oghazi, 2017. "Elderly and technology tools: a fuzzyset qualitative comparative analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 1969-1982, September.
    20. Sonja Sperber & Christian Linder, 2018. "The impact of top management teams on firm innovativeness: a configurational analysis of demographic characteristics, leadership style and team power distribution," Review of Managerial Science, Springer, vol. 12(1), pages 285-316, January.

    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:89:y:2018:i:c:p:442-447. 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.