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Mobile Banking Research

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Mobile Banking Research
The current issue and full text archive of this journal is available at www.emeraldinsight.com/0265-2323.htm

IJBM 28,5

Predicting young consumers’ take up of mobile banking services
Nicole Koenig-Lewis
School of Business and Economics, Swansea University, Swansea, UK

410

Adrian Palmer
School of Business and Economics, Swansea University, Swansea, UK and ESC Rennes School of Business, Rennes, France, and

Alexander Moll
School of Business and Economics, Swansea University, Swansea, UK
Abstract
Purpose – This paper aims to investigate the barriers for adopting mobile banking services. From a methodological perspective, this paper seeks to build on two widely used models for technology adoption, the Technology Acceptance Model (TAM) and Innovation Diffusion Theory and to test a model that is better able to predict consumers’ intention to use mobile banking. Design/methodology/approach – A research model extends the TAM model by additionally examining the effects of compatibility, trust, credibility, perceived risk and cost on behavioural intention. The empirical approach was based on an online survey of 263 young people in Germany, undertaken during August/September 2009. The data were analysed using structural equation modelling. Findings – The results of the study indicated that compatibility, perceived usefulness, and risk are significant indicators for the adoption of m-banking services. Compatibility not only had a strong direct effect but was also identified as an important antecedent for perceived ease of use, perceived usefulness and credibility. Trust and credibility are crucial in reducing the overall perceived risk of m-banking. Originality/value – The results of this study have implications for researchers and practitioners. The proposed model explains 65 per cent of the variance in intention to adopt mobile phone banking, which is more than the 40 per cent of variance typically found in other studies using the TAM. This study provides a

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