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Revisiting bank profitability, performance and stability in Asia Pacific (2012-2018) using the EAGLES framework 使用EAGLES框架重新审视亚太地区银行的盈利能力、业绩和稳定性(2012-2018)
Q4 Economics, Econometrics and Finance Pub Date : 2020-01-01 DOI: 10.1504/ijef.2020.10032643
J. Vong, D. Dang
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引用次数: 3
Strategies and developments of Philippine telecommunications industry: revisiting the struggle, liberalisation and innovations 菲律宾电信业的策略与发展:重新审视斗争、自由化与创新
Q4 Economics, Econometrics and Finance Pub Date : 2020-01-01 DOI: 10.1504/ijef.2020.10032633
S. Mansumitrchai, H. Ho, Jason Lim Chiu, C. Chiu
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引用次数: 1
Relevance of e-SERVQUAL for determining the quality of FinTech services e-SERVQUAL与确定金融科技服务质量的相关性
Q4 Economics, Econometrics and Finance Pub Date : 2019-12-05 DOI: 10.1504/ijef.2019.10025680
H. Baber
Despite the rise of FinTech, the definition of this sector is still vague. The services offered by FinTech differ widely, but all share some commonalities. As FinTech is a growing service sector, there is a need to check the service quality offered by the different service providers. The study was conducted on Islamic banks of Malaysia and UAE which offer Fintech services to their customers. A 26-item questionnaire was used to gather data from 325 customers by strata sampling. Statistical data was analysed through various tests like reliability analysis, sample adequacy, factor analysis and regression analysis using SPSS 25.0. Shariah compliance variable was added to the e-SERVQUAL model to make it relevant for Islamic banks. This study found that Shariah compliance information, site aesthetic, efficient and reliable services, and fulfilment of promises and transaction has a significant impact on the customer satisfaction in Islamic banks for the FinTech services offered.
尽管金融科技兴起,但该行业的定义仍然模糊不清。金融科技提供的服务差异很大,但都有一些共同点。由于金融科技是一个不断发展的服务行业,因此需要检查不同服务提供商提供的服务质量。这项研究是针对马来西亚和阿联酋的伊斯兰银行进行的,这些银行为其客户提供金融科技服务。采用26项问卷,通过分层抽样从325名客户中收集数据。统计数据采用SPSS 25.0软件,通过可靠性分析、样本充分性、因子分析和回归分析等多种测试进行分析。Shariah合规变量被添加到e-SERVQUAL模型中,使其与伊斯兰银行相关。本研究发现,Shariah合规信息、网站美观、高效可靠的服务以及承诺和交易的履行对伊斯兰银行提供的金融科技服务的客户满意度有重大影响。
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引用次数: 7
The adoption of banking technology and electronic financial services: evidence from selected bank customers in Ethiopia 采用银行技术和电子金融服务:来自埃塞俄比亚选定银行客户的证据
Q4 Economics, Econometrics and Finance Pub Date : 2019-12-05 DOI: 10.1504/ijef.2019.10025686
Wondwossen Jerene, D. Sharma
This study was aimed to investigate factors that determine bank customers' intention to adopt electronic banking technologies and electronic financial services in Ethiopia. The TAM model was used that constructed with perceived financial trust, perceived financial risk, subjective norm, and awareness as exogenous factors that predict bank customers' intention to adopt digital technologies. Self-administered questionnaire was used for data collected from 412 bank customers and the exploratory factor analysis (EFA) of data confirmed it was internally consistent enough to measure each factor. Similarly, the confirmatory factor analysis (CFA) of data was revealed that there was no concern of convergent and discriminant validity. According to SEM analysis using AMOS, the finding of the study shows perceived ease of use, perceived usefulness, perceived financial trust, subjective norm and awareness about new electronic banking technology positively predict bank customers' intention to adopt it. However, perceived financial risk negatively influences customers' intention to adopt banking technology and researchers' suggestions were forwarded in the paper.
本研究旨在调查决定埃塞俄比亚银行客户采用电子银行技术和电子金融服务意向的因素。TAM模型以感知金融信任、感知金融风险、主观规范和意识为外生因素构建,预测银行客户采用数字技术的意愿。自我管理问卷用于从412名银行客户收集的数据,对数据的探索性因素分析(EFA)证实其内部一致性足以衡量每个因素。同样,数据的验证性因素分析(CFA)显示,不存在收敛有效性和判别有效性的问题。根据AMOS的SEM分析,研究结果表明,感知易用性、感知有用性、感知金融信任、主观规范和对新电子银行技术的认识对银行客户采用该技术的意愿有正向预测作用,金融风险感知对客户采用银行技术的意愿产生了负面影响,并提出了研究者的建议。
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引用次数: 2
Adoption of digital payment methods in India 印度采用数字支付方式
Q4 Economics, Econometrics and Finance Pub Date : 2019-04-11 DOI: 10.1504/IJEF.2019.10020410
T. Tiwari, Alpana Srivastava, Surendra Kumar
India is home to 17.5% of the world's population and nearly 76% of its adult population does not understand even the basic financial concepts. Post-independence, Government of India has put continued effort to include more and more people and entities under the sphere of banking and financial services. Indian banking history has witnessed reforms, liberalisation and privatisation. Over the time innovation in digital technologies has led to adoption of digital payments to boost slow penetration of financial inclusion (FI). In this study, it has been tried to find the current state of digital financial inclusion (DFI) and reasons for its poor performance and challenges. This study can help in removing lacunas in the program and help in better implementation of DFI and there by achieving the goal of FI at broader level. Results suggest that education, awareness and internet accessing devices are three major reasons behind lower penetration of digital payments in India.
印度拥有世界17.5%的人口,近76%的成年人甚至不了解基本的金融概念。独立后,印度政府继续努力将越来越多的人和实体纳入银行和金融服务领域。印度银行业的历史见证了改革、自由化和私有化。随着时间的推移,数字技术的创新导致了数字支付的采用,从而推动了普惠金融(FI)的缓慢渗透。在本研究中,试图找到数字普惠金融(DFI)的现状及其表现不佳的原因和挑战。本研究有助于消除该计划中的漏洞,并有助于更好地实施DFI,从而在更广泛的层面上实现FI的目标。调查结果表明,教育、意识和互联网接入设备是印度数字支付普及率较低的三个主要原因。
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引用次数: 1
Can a mobile credit-scoring model provide better accessibility to South African citizens requiring micro-lending 移动信用评分模式能否为需要小额贷款的南非公民提供更好的便利
Q4 Economics, Econometrics and Finance Pub Date : 2019-04-09 DOI: 10.1504/IJEF.2019.10020399
M. Hendricks, Adheesh Budree
This paper investigates developing a conceptual model for credit scoring microfinance in South Africa. This poses an issue as the demand for micro-lending arise primarily from the lowest income groups who are normally found in rural or peri-urban areas and are not easily accessible. Current literature and research on credit scoring models within microfinance for low-income groups was found to be extremely limited. Based on current research, this paper assessed the use of collateral and collateral substitutes, innovative methods behind credit scoring and mobile technology which could drive a credit scoring model to provide access to underprivileged citizens. Based on the findings of this study, a best practice conceptual model that develops a form of credit scorecard based on an applicant's social media credit score, psychometric score, mobile credit score and the presence of collateral and collateral substitutes that can help increase accessibility of microfinance to underprivileged recipients was developed.
本文研究了南非小额信贷信用评分概念模型的开发。这就造成了一个问题,因为对小额贷款的需求主要来自收入最低的群体,这些群体通常生活在农村或城郊地区,不容易获得。目前关于低收入群体小额信贷信用评分模型的文献和研究非常有限。基于目前的研究,本文评估了抵押物和抵押物替代品的使用、信用评分和移动技术背后的创新方法,这些方法可以推动信用评分模型为贫困公民提供获取渠道。基于本研究的结果,开发了一个最佳实践概念模型,该模型基于申请人的社交媒体信用评分、心理测量评分、移动信用评分以及抵押品和抵押品替代品的存在,开发了一种信用记分卡形式,可以帮助增加贫困受助人获得小额信贷的机会。
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引用次数: 3
Understanding the characteristics of financial time series through neural network and SVM approaches 通过神经网络和支持向量机方法了解金融时间序列的特征
Q4 Economics, Econometrics and Finance Pub Date : 2019-04-09 DOI: 10.1504/IJEF.2019.10020409
A. Moradi, M. Alizadeh, M. Samadi, R. Yusof
Exchange rate has been always a focal point for researchers within international scope. Globalisation and the role of exchange rate create a challenging market where short-term prediction is concerned. The ability to predict the exchange rate is a challenging topic for professionals and practitioners. This paper proposes a method to address the current issues of predicting the market changes using characteristics of financial time series. The main idea is that neural network and support vector machine (SVM) approaches are employed to train and test the results in different instances. Findings indicate the superiority of correct sets over incorrect, while criteria sets had been sometimes better results. Furthermore, linear kernel was more likely to encounter convergence problems than other types which oppose to primary dataset. Finally, the accuracy of the proposed prediction methods is analysed and compared with related works.
汇率问题一直是国际上研究人员关注的焦点。就短期预测而言,全球化和汇率的作用创造了一个具有挑战性的市场。对专业人士和从业人员来说,预测汇率的能力是一个具有挑战性的话题。本文提出了一种利用金融时间序列的特征来预测市场变化的方法。其主要思想是利用神经网络和支持向量机(SVM)方法对不同实例的结果进行训练和测试。研究结果表明,正确集优于不正确集,而标准集有时效果更好。此外,线性核比其他与主数据集相反的类型更容易遇到收敛问题。最后,对所提出的预测方法的精度进行了分析,并与相关工作进行了比较。
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引用次数: 1
Stages in the development of consumers' online trust as mediating variable in online banking system: a proposed model 消费者在线信任作为网上银行系统中介变量的发展阶段:一个拟议的模型
Q4 Economics, Econometrics and Finance Pub Date : 2019-04-09 DOI: 10.1504/IJEF.2019.10020401
C. Chiu, Jason Lim Chiu, S. Mansumitrchai
Several studies suggest that consumers have not adopted online banking system to the same degree primarily because of online trust related issues. It is a long-term barrier for realising the potentials of B2C banking innovations. However, current literature relating to trust in online banking arguably falls short in at least two areas. First, lack of comprehensive study detailing the stages of trust as mediating variable between antecedents and consequence in order to understand consumers' online trust formation on self-service technologies. Second, most prior studies focus only on the general concept and effect of trust on consumer behavioural intention, adoption decision, and utilisation of innovations. This study tries to fill these gaps by systematically analysing online trust based on behavioural adoption models and technology acceptance theories as a fundamental prerequisite of B2C relationship in the retail industry, leading to the positive adoption of innovation.
几项研究表明,消费者没有在同样程度上采用网上银行系统,主要是因为网上信任相关问题。这是实现B2C银行创新潜力的长期障碍。然而,目前有关网上银行信任的文献可以说至少在两个方面存在不足。首先,缺乏全面的研究来详细说明信任作为前因和后果之间的中介变量的阶段,以了解消费者对自助服务技术的在线信任形成。其次,大多数先前的研究只关注信任对消费者行为意图、采用决策和创新利用的一般概念和影响。本研究试图通过系统分析基于行为采用模型和技术接受理论的在线信任来填补这些空白,这是零售业B2C关系的基本前提,从而积极采用创新。
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引用次数: 6
Determinants of deposit of commercial banks in Sudan: an empirical investigation (1970-2012) 苏丹商业银行存款的决定因素:一个实证调查(1970-2012)
Q4 Economics, Econometrics and Finance Pub Date : 2019-04-03 DOI: 10.1504/IJEF.2019.10020412
Safiat Ali Saber Ali, Kamal Eldin Eldaw, M. Alsmadi, Ibrahim Almarashdeh
This present study scrutinises the factors determining the magnitude of deposits of commercial banks operating in Sudan during the period from 1970 to 2012. Factors under scrutiny are inflation rate, total credit as a percentage of GDP, interest rate (profit margin), money supply as the GDP percentage and per capita GDP. This study utilises the approach of autoregressive distributed lag (ARDL) to co-integration and the related error correction model (ECM) for the examination of the factors. The main results obtained suggest that within the long-run, inflation and money supply show negative impacts on total deposits. Conversely, credit, interest rate (profit margin) and real per capita GDP have positive impact on total deposits. Within the short-run, using OLS method, although nearly variables demonstrate that they are statistically significant, they are exhibiting the wrong signs. Nevertheless, the coefficient of the lagged residual (ECt−1) within the ECM model has the correct sign and is highly significant which implies that in the long-run equilibrium, the dependent variable has the inclination for adapting to any deviations.
本研究仔细研究了1970年至2012年期间在苏丹经营的商业银行存款规模的决定因素。受审查的因素包括通货膨胀率、信贷总额占GDP的百分比、利率(利润率)、货币供应量占GDP的百分比和人均GDP。本研究利用自回归分布滞后(ARDL)的协整方法和相关的误差校正模型(ECM)对各因素进行检验。所得的主要结果表明,在长期内,通货膨胀和货币供应量对存款总量呈负向影响。相反,信贷、利率(利润率)和实际人均GDP对总存款有正影响。在短期内,使用OLS方法,尽管几乎变量表明它们具有统计显著性,但它们显示出错误的迹象。然而,ECM模型中的滞后残差系数(ECt−1)具有正确的符号,并且非常显著,这意味着在长期均衡中,因变量具有适应任何偏差的倾向。
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引用次数: 18
Examining the Consumers Preference towards adopting the Mobile Payment System 调查消费者对采用移动支付系统的偏好
Q4 Economics, Econometrics and Finance Pub Date : 2019-01-01 DOI: 10.1504/ijef.2019.10021139
Senthil Kumar A, Arun Palanisamy Y
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引用次数: 0
期刊
International Journal of Electronic Finance
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