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-quarter 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.

中文翻译：

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尼日利亚采用电子银行业务的决定因素、收益和挑战

目的

本研究的目的是检查尼日利亚采用电子银行业务的收益、挑战和决定因素。

设计/方法/方法

本文将广义结构方程模型 (GSEM) 应用于从尼日利亚六个地缘政治区中的五个进行调查的大量受访者样本，以模拟电子银行业务的决定因素。除了许多其他优点外，GSEM 还可以用作似然函数。因此，本文提出 GSEM 作为对电子银行采用的社会经济决定因素进行建模的最合适工具。

发现

大约四分之三的受访者至少采用了一种电子银行形式。然而，只有十分之一的用户使用电子银行购买商品或服务，这意味着电子支付的采用率较低。电子支付的低采用率是由于糟糕的数字安全基础设施使用户容易受到广泛的电子欺诈。调查结果还表明，采用电子银行平台或服务的特点是用户的社会经济地位。例如，采用互联网/手机银行的几率随着用户年龄的增长而下降，但随着教育程度和收入的提高而增加，而采用短信服务（SMS）和销售点（POS）银行等电子银行平台的几率增加分别与老年用户和非正规就业用户。

实际影响

为了尼日利亚可持续的无现金经济和金融包容性，提供安全电子银行服务的政策整合是必要的。此外，电子银行服务提供商应提供与用户的物理和经济特征相匹配的特定内容和服务。

原创性/价值

广义结构方程建模 (GSEM) 是一种稳健的似然函数方法，它将结构方程建模的强大功能与广义线性模型相结合。电子银行文献中尚未探索应用 GSEM 来预测采用银行技术或服务的可能性。此外，作为一个人口异质的快速增长的经济体，尼日利亚提供了一个有趣的背景来研究电子银行的决定因素。