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Wireless Personal Communications

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19.09.2018

Factors Affecting Retailer’s Adopti on of Mobile Payment Systems: A SEM-Neural Network Modeling Approach

verfasst von: Ali Nawaz Khan, Ahsan Ali

Erschienen in: Wireless Personal Communications | Ausgabe 3/2018

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Abstract

The development of mobile commerce depends on extensively accepted mobile payment (MP) systems. Even though new MP methods have been gradually induced in the market, but their adoption has stayed modest. Little research has been conducted to examine and explain views of owners or managers of on the new payment technology. This paper explores retailer’s adoption of the mobile payment system; based on an extended model of technology–organization–environment (TOE) framework, eleven factors were theorized to describe retailer’s acceptance of MP systems. Data was collected from 188 retails stores. First, structural equation modeling (SEM) was applied to check which factor had a significant influence on MP adoption. Following, the neural network technique was used to rank the significant predictors attained from SEM. The results revealed that external pressure and relative advantages are the most important antecedents of the intention to use MP. The results of this study will be useful for MP providers/suppliers in making optimum strategies. Implications, limitation and future research are discussed.

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Titel: Factors Affecting Retailer’s Adopti on of Mobile Payment Systems: A SEM-Neural Network Modeling Approach
verfasst von: Ali Nawaz Khan
Ahsan Ali
Publikationsdatum: 19.09.2018
Verlag: Springer US
Erschienen in: Wireless Personal Communications / Ausgabe 3/2018
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-018-5945-5

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