IDEAS home Printed from https://ideas.repec.org/a/taf/servic/v32y2010i9p1489-1504.html
   My bibliography  Save this article

A combinative model of behavioural and technical factors affecting ‘Mobile’-payment services adoption: an empirical study

Author

Listed:
  • Abbas Keramati
  • Rose Taeb
  • Arad Mousavi Larijani
  • navid Mojir

Abstract

The objective of this paper is to investigate customers' adoption of mobile payment (M-payment) services. The proposed conceptual model combines technological factors and behavioural factors of M-payment services adoption. A questionnaire is developed and 623 completed questionnaires are gathered from Iranian customers. ANOVA and MANOVA analysis are used to find out the impact of demographic and cultural characteristics on other related research factors. The overall fitness of the proposed model is tested by confirmatory factor analysis and logistic regression. It is shown that the model has a suitable fitness. The model shows that ease of use, usefulness, trust, compatibility, cost, norm, payment habit, availability of mobile phone skills, and convenience are in the suitable condition and these factors influence adoption superiorly.

Suggested Citation

  • Abbas Keramati & Rose Taeb & Arad Mousavi Larijani & navid Mojir, 2010. "A combinative model of behavioural and technical factors affecting ‘Mobile’-payment services adoption: an empirical study," The Service Industries Journal, Taylor & Francis Journals, vol. 32(9), pages 1489-1504, October.
  • Handle: RePEc:taf:servic:v:32:y:2010:i:9:p:1489-1504
    DOI: 10.1080/02642069.2011.552716
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/02642069.2011.552716
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/02642069.2011.552716?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. Dong, Yan & Xu, Kefeng & Dresner, Martin, 2007. "Environmental determinants of VMI adoption: An exploratory analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(4), pages 355-369, July.
    2. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    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. Aziz Barhmi & Omar Hajaji, 2023. "Multidisciplinary Approach to Supply Chain Resilience: Conceptualization and Scale Development," Central European Business Review, Prague University of Economics and Business, vol. 2023(5), pages 43-69.
    2. Venugopal Gopalakrishna-Remani & Robert Paul Jones & Kerri M. Camp, 2019. "Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation," Information Systems Frontiers, Springer, vol. 21(6), pages 1325-1344, December.
    3. Elbanna, Amany & Newman, Mike, 2022. "The bright side and the dark side of top management support in Digital Transformaion –A hermeneutical reading," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. 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.
    5. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.
    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. Schweizer, T.S., 2002. "Managing interactions between technological and stylistic innovation in the media industries, insights from the introduction of ebook technology in the publishing industry," ERIM Report Series Research in Management ERS-2002-16-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Severin Oesterle & Arne Buchwald & Nils Urbach, 2022. "Investigating the co-creation of IT consulting service value: empirical findings of a matched pair analysis," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 571-597, June.
    9. Neus Vila-Brunet & Josep Llach, 2020. "OSS-Qual: Holistic Scale to Assess Customer Quality Perception When Buying Secondhand Products in Online Platforms," Sustainability, MDPI, vol. 12(21), pages 1-15, November.
    10. Shi, Yuwei & Herniman, John, 2023. "The role of expectation in innovation evolution: Exploring hype cycles," Technovation, Elsevier, vol. 119(C).
    11. Zhang, Qingyu & Vonderembse, Mark A. & Cao, Mei, 2009. "Product concept and prototype flexibility in manufacturing: Implications for customer satisfaction," European Journal of Operational Research, Elsevier, vol. 194(1), pages 143-154, April.
    12. 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).
    13. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    14. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    15. Lixin Shen & Kannan Govindan & Atul B. Borade & Ali Diabat & Devika Kannan, 2013. "An evaluation of vendor managed inventory practices from small and medium indian enterprises," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 14(sup1), pages 76-95, June.
    16. Taleizadeh, Ata Allah & Shokr, Iman & Konstantaras, Ioannis & VafaeiNejad, Mahyar, 2020. "Stock replenishment policies for a vendor-managed inventory in a retailing system," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    17. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    18. Saiful Azam, 2014. "Perceived Environmental Factors And The Intention To Adopt A Standard Business Reporting Facility: A Survey Of Australian Corporate Cfos," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 10(2), pages 147-173.
    19. Wanda J. Orlikowski & C. Suzanne Iacono, 2001. "Research Commentary: Desperately Seeking the “IT” in IT Research—A Call to Theorizing the IT Artifact," Information Systems Research, INFORMS, vol. 12(2), pages 121-134, June.
    20. Rogier van de Wetering & Sherah Kurnia & Svyatoslav Kotusev, 2020. "The Effect of Enterprise Architecture Deployment Practices on Organizational Benefits: A Dynamic Capability Perspective," Sustainability, MDPI, vol. 12(21), pages 1-21, October.

    More about this item

    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:taf:servic:v:32:y:2010:i:9:p:1489-1504. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/FSIJ20 .

    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.