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Article . 2025
License: CC BY
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ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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A Multi-dimensional Model of Acceptance of Mobile Banking

Authors: Fereshteh Lotfizadeh; Abdollah Ghorbani;

A Multi-dimensional Model of Acceptance of Mobile Banking

Abstract

Factors affecting rejection or acceptance of emerging technologies such as mobile banking have caused a high interest in researchers and consumers. Yet, understanding the risks of this technology has remained unknown in this infrastructure. This study aims to investigate multi-dimensional effects of trust and risk factors on initial acceptance of mobile banking. Thus, after representing a theoretical background using applied research method and questionnaire, a multi-dimensional investigation of effects of trust and risk factors on initial acceptance of mobile banking has been represented. The statistical population consists of the customers who referred to branches of bank Saderat across Qazvin city, that sample size (385) was obtained using Cochran formula. To measure validity of questionnaire with referral to scholars, validity of questionnaire was confirmed through Lawshe's formula, and its reliability was obtained through Cronbach's alpha formula. The results of this study indicate that trust and risk factors from six different aspects affect initial acceptance of mobile banking. To investigate effects of research variables, methods of inferential statistics including SPSS and LISREL software have been used. The results of research indicated that ninth hypothesis among 10 hypotheses was not confirmed.

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Keywords

performance expectancy, Mobile banking, HF5001-6182, Perceived Risk, Self-Efficacy, mobile banking, trust, Business, Performance Expectancy, Trust, perceived risk, self-efficacy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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