アドゥバ ジョセフ ジュニア
ADUBA JOSEPH JUNIOR
ADUBA JOSEPH JUNIOR
所属 BKC社系研究機構
職名 上席研究員
言語種別 英語
発行・発表の年月 2021
形態種別 研究論文(学術雑誌)
査読 査読あり
標題 On the determinants, gains and challenges of electronic banking adoption in Nigeria.
執筆形態 単著
掲載誌名 International Journal of Social Economics
掲載区分 国外
出版社・発行元 emerald publishing
巻・号・頁 1-23
総ページ数
担当範囲 Design, data analysis, results and discussion of the findings
担当区分 筆頭著者 , 最終著者 , 責任著者
著者・共著者 Aduba Joseph Jr.
概要 Purpose
The purpose of this study is to examine the gains, challenges and determinants of electronic banking adoption in Nigeria.
Design/methodology/approach
This paper applied the generalized structural equation modelling (GSEM) to a large sample of respondents surveyed from five of the six geopolitical zones of Nigeria to model the determinants of electronic banking. In addition to many other advantages, GSEM can be used as a likelihood function. As a result, this paper proposes GSEM as the most appropriate tool for modelling the socioeconomic determinant of electronic banking adoption.
Findings
About three-quarters of respondents adopted at least a form of electronic banking. However, only a tenth of users used e-banking for purchase of goods or services, implying low electronic payment adoption. The low adoption of electronic payment was due to poor digital security infrastructure which made users vulnerable to widespread electronic frauds. The findings also show that the adoption of e-banking platforms or services was characterized by users' socioeconomic status. For example, the odds of adopting internet/mobile banking decreases with older users but increase with higher educational attainment and income, whereas the odds of adopting e-banking platforms such as short message service (SMS) and point of sale (POS) banking increases with older users and informally employed users respectively.
Practical implications
For a sustainable cashless economy and financial inclusion in Nigeria, policy consolidation that provides safe e-banking services is necessary. Also, e-banking service providers should deliver specific contents and services that match the physical and economic characteristics of users.
Originality/value
Generalized structural equation modelling (GSEM) is a robust likelihood function method that combines the power of structural equation modelling with the generalized linear model. The application of GSEM to predict the likelihood of adopting a banking technology or Service has not been explored in electronic banking literature. Also, as a fast-growing economy with a heterogeneous population, Nigeria presents an interesting context to study the determinants of electronic banking.