Title: Regression modelling of predicting NFC mobile payment adoption in Malaysia

Authors: Dhaarshini Balachandran; Garry-Wei-Han Tan

Addresses: Faculty of Business and Finance, Universiti Tunku Abdul Rahman (Perak Campus), Jalan Universiti, Bandar Barat, 31900 Kampar, Perak Darul Ridzuan, Malaysia ' Faculty of Business and Finance, Universiti Tunku Abdul Rahman (Perak Campus), Jalan Universiti, Bandar Barat, 31900 Kampar, Perak Darul Ridzuan, Malaysia

Abstract: In the traditional payment system, an economic transaction is often completed by using either cash or credit card. However, with the latest advancement in mobile technologies, payment today can be conducted using mobile devices (m-devices). The emergence of NFC mobile payment (NMP) has enabled users to pay for goods and services by tapping their m-devices with a NFC reader. Though, NFC mobile payment is widely available and convenient to use, the payment system is not widely adopted by Malaysians. Thus, this study focuses on looking into the factors that affect the Malaysian consumers' intention to adopt NMP by adopting a modified diffusion of innovation model. A self-administrated questionnaire was utilised in this study to collect data from respondents and was subsequently analysed using multiple linear regression. Only relative advantage is insignificant in the study. This study provides useful marketing strategies for practitioners.

Keywords: mobile payment; m-payment; innovation diffusion; near field communication; NFC; multiple regression; Malaysia; relative advantage; compatibility; complexity; variety of service; VOS; amount of information; AOI; perceived financial resource; intention to adopt; marketing strategies.

DOI: 10.1504/IJMOM.2015.072671

International Journal of Modelling in Operations Management, 2015 Vol.5 No.2, pp.100 - 116

Received: 01 Jun 2015
Accepted: 06 Jul 2015
Published online: 23 Oct 2015 *

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