IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v21y2019i4d10.1007_s10796-017-9775-x.html
   My bibliography  Save this article

Integrating cognitive antecedents into TAM to explain mobile banking behavioral intention: A SEM-neural network modeling

Author

Listed:
  • Sujeet Kumar Sharma

    (Sultan Qaboos University)

Abstract

Higher penetration of smartphones and 3G and 4G mobile networks have led to the higher usage of smartphones for mobile banking activities. This paper identifies key antecedents influencing the mobile banking acceptance. The research extends the original Technology Acceptance Model, by incorporating two cognitive antecedents, namely, autonomous motivation and controlled motivation, in addition to trust components for understanding adoption. Data were collected from 225 mobile banking users and analyzed using an innovative two-stage research methodology. In the first stage, structural equation modeling was employed to test the research hypotheses and identify significant antecedents influencing mobile banking acceptance. In the second stage, the significant antecedents obtained from the first stage were input to a neural network model for ranking. The results showed that trust and autonomous motivation are the two main predictors influencing mobile banking acceptance. Theoretical and practical implications of findings are discussed.

Suggested Citation

  • Sujeet Kumar Sharma, 2019. "Integrating cognitive antecedents into TAM to explain mobile banking behavioral intention: A SEM-neural network modeling," Information Systems Frontiers, Springer, vol. 21(4), pages 815-827, August.
    • Handle: RePEc:spr:infosf:v:21:y:2019:i:4:d:10.1007_s10796-017-9775-x
    DOI: 10.1007/s10796-017-9775-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-017-9775-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-017-9775-x?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. Yee-Loong Chong, Alain & Liu, Martin J. & Luo, Jun & Keng-Boon, Ooi, 2015. "Predicting RFID adoption in healthcare supply chain from the perspectives of users," International Journal of Production Economics, Elsevier, vol. 159(C), pages 66-75.
    2. Yvonne O’ Connor & Philip O’ Reilly, 0. "Examining the infusion of mobile technology by healthcare practitioners in a hospital setting," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
    3. 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.
    4. Kawaljeet Kaur Kapoor & Yogesh K. Dwivedi & Michael D. Williams, 2015. "Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service," Information Systems Frontiers, Springer, vol. 17(5), pages 1039-1056, October.
    5. 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.
    6. Jessie De Naeghel & Hilde Van Keer & Maarten Vansteenkiste & Leen Haerens & Nathalie Aelterman, 2016. "Promoting elementary school students' autonomous reading motivation: Effects of a teacher professional development workshop," The Journal of Educational Research, Taylor & Francis Journals, vol. 109(3), pages 232-252, May.
    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. Raed S. Algharabat & Nripendra P. Rana, 2021. "Social Commerce in Emerging Markets and its Impact on Online Community Engagement," Information Systems Frontiers, Springer, vol. 23(6), pages 1499-1520, December.
    2. Thitinan Pholsook & Warit Wipulanusat & Poomporn Thamsatitdej & Sarawut Ramjan & Jirapon Sunkpho & Vatanavongs Ratanavaraha, 2023. "A Three-Stage Hybrid SEM-BN-ANN Approach for Analyzing Airport Service Quality," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    3. Wajeeha Aslam & Iviane Ramos de Luna & Muhammad Asim & Kashif Farhat, 2023. "Do the Preceding Self-service Technologies Influence Mobile Banking Adoption?," IIM Kozhikode Society & Management Review, , vol. 12(1), pages 50-66, January.
    4. Abhipsa Pal & Tejaswini Herath & Rahul De’ & H. Raghav Rao, 2021. "Is the Convenience Worth the Risk? An Investigation of Mobile Payment Usage," Information Systems Frontiers, Springer, vol. 23(4), pages 941-961, August.
    5. Nadire Cavus & Yakubu Bala Mohammed & Abdulsalam Ya’u Gital & Mohammed Bulama & Adamu Muhammad Tukur & Danlami Mohammed & Muhammad Lamir Isah & Abba Hassan, 2022. "Emotional Artificial Neural Networks and Gaussian Process-Regression-Based Hybrid Machine-Learning Model for Prediction of Security and Privacy Effects on M-Banking Attractiveness," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    6. Francisco Liébana-Cabanillas & Nidhi Singh & Zoran Kalinic & Elena Carvajal-Trujillo, 2021. "Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: a multi-analytical approach," Information Technology and Management, Springer, vol. 22(2), pages 133-161, June.
    7. Chenyuan Ni & Shuiqing Yang & Yanqin Pan & Jianrong Yao & Yixiao Li & Yuangao Chen, 2019. "Sustainability of Government Microblog in China: Exploring Social Factors on Mobile Government Microblog Continuance," Sustainability, MDPI, vol. 11(24), pages 1-15, December.
    8. Muhammad Naeem & Wilson Ozuem & Kerry Howell & Silvia Ranfagni, 2022. "Understanding the process of meanings, materials, and competencies in adoption of mobile banking," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2445-2469, December.
    9. Teng Yu & Jian Dai & Chengliang Wang, 2023. "Adoption of blended learning: Chinese university students’ perspectives," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    10. Jadil, Yassine & Rana, Nripendra P. & Dwivedi, Yogesh K., 2021. "A meta-analysis of the UTAUT model in the mobile banking literature: The moderating role of sample size and culture," Journal of Business Research, Elsevier, vol. 132(C), pages 354-372.
    11. Morteza Ghobakhloo & Masood Fathi, 2019. "Modeling the Success of Application-Based Mobile Banking," Economies, MDPI, vol. 7(4), pages 1-21, November.
    12. Ammari, Aymen & Allodi, Evita & Salerno, Dario & Stella, Gian Paolo, 2023. "An asymmetrical approach to understanding consumer characteristics in banking trust during the COVID-19 pandemic in Italy," Research in International Business and Finance, Elsevier, vol. 64(C).
    13. Nadire Cavus & Yakubu Bala Mohammed & Mohammed Nasiru Yakubu, 2021. "An Artificial Intelligence-Based Model for Prediction of Parameters Affecting Sustainable Growth of Mobile Banking Apps," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
    14. O. Vasiurenko & V. LYASHENKO, 2020. "Wavelet coherence as a tool for retrospective analysis of bank activities," Economy and Forecasting, Valeriy Heyets, issue 2, pages 43-60.
    15. Mkombo, Alfred Lameck & Wahua, Lawrence, 2024. "Review of Behavioural Intention to use Mobile Financial Services," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(1), pages 1520-1538, January.
    16. Nadire Cavus & Yakubu Bala Mohammed & Mohammed Bulama & Muhammad Lamir Isah, 2023. "Examining User Verification Schemes, Safety and Secrecy Issues Affecting M-Banking: Systematic Literature Review," SAGE Open, , vol. 13(1), pages 21582440231, January.
    17. Henner Mohr & Zhiping Walter, 2019. "Formation of Consumers’ Perceived Information Security: Examining the Transfer of Trust in Online Retailers," Information Systems Frontiers, Springer, vol. 21(6), pages 1231-1250, December.
    18. Zeleke Siraye Asnakew, 2020. "Customers’ Continuance Intention to Use Mobile Banking: Development and Testing of an Integrated Model," The Review of Socionetwork Strategies, Springer, vol. 14(1), pages 123-146, April.
    19. Samer Ali Al-shami & Salem Aldahmani & Massila Kamalrudin & Nabil Hasan Al-Kumaim & Abdullah Al Mamun & Mohammed Al-shami & Mustafa Musa Jaber, 2022. "A Model of Motivational and Technological Factors Influencing Massive Open Online Courses’ Continuous Intention to Use," Sustainability, MDPI, vol. 14(15), pages 1-23, July.
    20. Duan, Sophia Xiaoxia & Tay, Richard & Molla, Alemayehu & Deng, Hepu, 2022. "Predicting Mobility as a Service (MaaS) use for different trip categories: An artificial neural network analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 135-149.
    21. Raed S. Algharabat & Nripendra P. Rana, 0. "Social Commerce in Emerging Markets and its Impact on Online Community Engagement," Information Systems Frontiers, Springer, vol. 0, pages 1-22.
    22. Ashraf Hilal & Concepción Varela-Neira, 2022. "Understanding Consumer Adoption of Mobile Banking: Extending the UTAUT2 Model with Proactive Personality," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    23. Zhou, Qingji & Lim, Fong Jie & Yu, Han & Xu, Gaoqian & Ren, Xiaoyu & Liu, Dan & Wang, Xiangxin & Mai, Xinda & Xu, Hong, 2021. "A study on factors affecting service quality and loyalty intention in mobile banking," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    24. Seung-hye Jung & Joon-ho Kim & Ha-na Cho & Hae-won Lee & Hyun-ju Choi, 2021. "Brand Personality of Korean Dance and Sustainable Behavioral Intention of Global Consumers in Four Countries: Focusing on the Technological Acceptance Model," Sustainability, MDPI, vol. 13(20), pages 1-19, October.

    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. Shaik, Aqueeb Sohail & Nazrul, Asif & Alshibani, Safiya Mukhtar & Agarwal, Vaishali & Papa, Armando, 2024. "Environmental and economical sustainability and stakeholder satisfaction in SMEs. Critical technological success factors of big data analytics," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    2. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    3. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    4. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    5. Yu-Sheng Kao & Kazumitsu Nawata & Chi-Yo Huang, 2019. "An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers," IJERPH, MDPI, vol. 16(18), pages 1-31, September.
    6. Zhunzhun Liu & Shenglin Ben & Ruidong Zhang, 2019. "Factors affecting consumers’ mobile payment behavior: a meta-analysis," Electronic Commerce Research, Springer, vol. 19(3), pages 575-601, September.
    7. James Agyei & Shaorong Sun & Eugene Abrokwah & Emmanuel Kofi Penney & Richmond Ofori-Boafo, 2020. "Mobile Banking Adoption: Examining the Role of Personality Traits," SAGE Open, , vol. 10(2), pages 21582440209, June.
    8. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 0. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    9. Komlan Gbongli & Yongan Xu & Komi Mawugbe Amedjonekou, 2019. "Extended Technology Acceptance Model to Predict Mobile-Based Money Acceptance and Sustainability: A Multi-Analytical Structural Equation Modeling and Neural Network Approach," Sustainability, MDPI, vol. 11(13), pages 1-33, July.
    10. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    11. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    12. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    13. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    14. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    15. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    16. 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.
    17. Talukder, Md. Shamim & Sorwar, Golam & Bao, Yukun & Ahmed, Jashim Uddin & Palash, Md. Abu Saeed, 2020. "Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    18. Chen-Yuan Chen & Bih-Yaw Shih & Shih-Hsien Yu, 2012. "Disaster prevention and reduction for exploring teachers’ technology acceptance using a virtual reality system and partial least squares techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 1217-1231, July.
    19. 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.
    20. 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.

    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:spr:infosf:v:21:y:2019:i:4:d:10.1007_s10796-017-9775-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.