Uncertainty avoidance and acceptance of the digital payment systems: a partial least squares-structural equation modeling (PLS-SEM) approach

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
A. Alkhwaldi, A. Al-Qudah, Hamood Mohammed Al-Hattami, Manaf Al-Okaily, A. Al-Adwan, Bilal Abu-Salih
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引用次数: 4

Abstract

Purpose The purpose of this study is to investigate the determinants that likely influence the intention of using digital payment systems such as the Jordan Mobile Payment (JoMoPay) system among public sector employees in Jordan. To achieve the purpose of the current study, the authors developed a new research model based on the extended unified theory of acceptance and use of technology (UTAUT2), with one of Hofstede’s cross-cultural dimension scales [uncertainty avoidance (UA)] to provide a further understanding of the JoMoPay system acceptance in Jordan. Design/methodology/approach A partial least squares-structural equation modeling approach was used to analyze the data collected by self-administration from the 270 employees working in the Jordanian public sector located in Amman city, the capital city of Jordan. Because most main public sectors are located in Amman and because of the cost and time considerations, the current study applied a non-probability sampling with the purposive sampling technique. Findings The empirical results reveal that the evident drivers of behavioral intention to use the JoMoPay system are significantly and positively influenced by social influence, UA, performance expectancy, price value and effort expectancy; therefore, the H1, H2, H3, H5 and H6 were supported. Conversely, the results show no significant relationship between facilitating conditions and the behavioral intention to use the JoMoPay system, and hence, the related hypothesis (H4) was not supported. Practical implications The results of this study provide beneficial information to the Central Bank of Jordan and other service providers in Jordan about employee intentions to adopt JoMoPay system and increase decision-makers’ knowledge on factors that have an important impact in UTAUT2 model. Social implications The results of this study enable policymakers to understand the important factors that will enhance savings, investments and living standards, create job opportunities as well as reduce the poverty, the paper money printing cost, risks of money transportation cost and the risk of human errors. Originality/value The outcomes obtained will help both practitioners and researchers elucidate and understand the situation of digital payment systems acceptance among Jordanian public sector employees, as well as help them formulate plans to expedite the adoption process of digital payment systems in the case of UA.
数字支付系统的不确定性规避和接受:偏最小二乘结构方程建模(PLS-SEM)方法
本研究的目的是调查可能影响约旦公共部门雇员使用约旦移动支付(JoMoPay)系统等数字支付系统意图的决定因素。为了实现本研究的目的,作者基于技术接受与使用的扩展统一理论(UTAUT2),结合Hofstede的跨文化维度量表之一[不确定性规避(UA)],开发了一个新的研究模型,以进一步了解约旦的JoMoPay系统接受度。设计/方法/方法采用偏最小二乘-结构方程建模方法分析了在约旦首都安曼市的约旦公共部门工作的270名雇员通过自我管理收集的数据。由于大多数主要公共部门位于安曼,并且出于成本和时间的考虑,本研究采用了带有目的抽样技术的非概率抽样。实证结果表明:社会影响力、用户满意度、绩效期望、价格价值和努力期望显著正向地影响着大学生使用捷运支付系统的行为意愿;因此,支持H1、H2、H3、H5和H6。相反,结果显示便利条件与使用JoMoPay系统的行为意愿之间没有显著的关系,因此,相关假设(H4)不被支持。本研究的结果为约旦中央银行和约旦其他服务提供商提供了关于员工采用JoMoPay系统的意向的有益信息,并增加了决策者对UTAUT2模型中重要影响因素的认识。社会意义本研究的结果使决策者能够了解提高储蓄,投资和生活水平,创造就业机会以及减少贫困,纸币印刷成本,货币运输成本风险和人为错误风险的重要因素。获得的结果将有助于从业者和研究人员阐明和理解约旦公共部门雇员接受数字支付系统的情况,并帮助他们制定计划,以加快在UA情况下采用数字支付系统的过程。
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来源期刊
Global Knowledge Memory and Communication
Global Knowledge Memory and Communication INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.20
自引率
16.70%
发文量
77
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