Risk Analysis of Third-Party Online Payment Based on PEST Model

Author(s):  
Guoling Lao ◽  
Shanshan Jiang
MSIE 2011 ◽  
2011 ◽  
Author(s):  
Huo Hong ◽  
Wei Yu ◽  
Xin Shen

2018 ◽  
Vol 8 (2) ◽  
pp. 181-198
Author(s):  
Shuhua Mao ◽  
Xianpeng Wang ◽  
Min Zhu

Purpose With the rapid development of e-commerce in China, the third-party payment system greatly improved the efficiency and volume of the entire trading market. The purpose of this paper is to put forward a suitable prediction model to analyse its development trend. Design/methodology/approach The authors analyse internet third-party payments in China, taking into account online payment transaction values coupled with an ARMA model and the fractional grey model (FGM). First, the rolling FGM model is applied in order to characterise the trends of the transaction volume. The influence of the initial value change on the FGM model is analysed. The optimisation mean absolute percentage error (MAPE) model is constructed to determine the optimal translational values, the corresponding optimal accumulation order and optimal inverse accumulation order. Findings This paper uses China’s recent third-party online payment data to quantify its development trend. The authors find the coupling model suitable for the development trend of third-party online payment transaction. The results show that the model is suitable to quantify its development trend of China’s recent third-party online payment. Originality/value Considering the complex influence factors that lead to the third-party online payment volume data of time-varying grey feature, this paper combines the FGM with ARMA model to describe the development of third-party payment mode.


2012 ◽  
Vol 7 (2) ◽  
pp. 77
Author(s):  
Alfian Budianto ◽  
Hoga Saragih

Tujuan dari penelitian ini adalah membangun desain sistem pembayaran dan pengisian pulsa listrik prabayar secara online. Sistem listrik prabayar yang sedang berjalan masih menuai banyak permasalahan, misalnya saja sistem masih mengharuskan pelanggan listrik untuk membeli pulsa listrik secara offline dengan mendatangi outlet-outlet penjualan token listrik, ATM, ataupun melalui perantara pihak ketiga. Diharapkan sistem pembayaran dan pengisian pulsa listrik secara online dapat mengatasi permasalahan yang ada. Pelanggan dapat melakukan pengisian pulsa kapan saja secara online melalui website dan realtime. Metode analisis penelitian yang digunakan adalah analisis kuantitatif dan analisis kualitatif untuk mengukur respons pelanggan terhadap sistem listrik prabayar yang berjalan. Hasil dari implementasi sistem listrik prabayar secara online ini diharapkan dapat mendukung perusahaan PLN dalam mengembangkan perencanaan strategi teknologi informasi dan menghasilkan inovasi baru yang dapat menyelesaikan permasalahan pada sistem listrik prabayar sebelumya. Kesimpulan dari penelitian ini pembayaran dan pengisian pulsa listrik prabayar yang efektif dan efisien mempunyai pengaruh terhadap kepuasan dan kenyamanan pelanggan. The purpose of this study is to develop online payment and prepaid electrical pulse charging system design. Prepaid electricity system is running still reap the many problems, such systems still require electricity customers to purchase electric pulse went offline with token sales outlets, electrical, ATM, or through third party intermediaries and other problems. Hopefully, online payment and charging electric pulses system can overcome the existing problems. Subscribers can reload at anytime online through website and realtime. Research methods that is used for analysis is quantitative and qualitative analysis, to measure customer responsse toward electrical prepaid system that has been running. The results of the implementation of online prepaid electricity system is expected to support the company PLN in developing information technology strategic planning and new innovations that can solve problems in electrical systems prepaid before. The conclusion from this study and the payment of electricity prepaid reload the effective and efficient to have an influence on customer satisfaction and comfort.


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