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Online banking information systems acceptance: a structural equation modelling analysis

Author

Listed:
  • Fida Hussain Chandio
  • Muhammad Sharif Abbasi
  • Hyder Ali Nizamani
  • Qurat Ul Ain Nizamani

Abstract

Extending research on the technology acceptance model (TAM), this paper develops an extended model of TAM, which besides TAM's original predictors of perceived usefulness (PU) and perceived ease of use (PEOU), includes trust (TR) as an additional belief factor to predict the behavioural intention (BI) to use an online banking information system (OBIS). The model was tested on a sample of 353 internet users in Pakistan. Using structural equation modelling with AMOS data analysis showed that all the proposed paths were significant and the model explained 44.7% of the variance in BI. As per expectation, highly significant paths were observed between the additional new factor of trust and the PU, followed by PU and BI. These findings suggest that inclusion of an additional factor within TAM extends its capability and validity to predict the individual's acceptance behaviour towards OBIS.

Suggested Citation

  • Fida Hussain Chandio & Muhammad Sharif Abbasi & Hyder Ali Nizamani & Qurat Ul Ain Nizamani, 2013. "Online banking information systems acceptance: a structural equation modelling analysis," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 12(2), pages 177-193.
  • Handle: RePEc:ids:ijbisy:v:12:y:2013:i:2:p:177-193
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    Cited by:

    1. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Muhammad Shujaat Mubarik, 2023. "Customer acceptance toward Islamic personal financing in Pakistan," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(2), pages 270-284, June.
    2. JosephNg, P.S., 2018. "EaaS Optimization: Available yet hidden information technology infrastructure inside medium size enterprise," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 165-173.

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