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Do Commercial Banks Benefit From Bank-FinTech Strategic Collaboration?: Evidence From Chinese City Banks 银行与金融科技战略合作是否有利于商业银行?:来自中国城市银行的证据
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/ijec.305235
Ying Fang, L. Ye, Guo-Feng Wen, Rong Wang
{"title":"Do Commercial Banks Benefit From Bank-FinTech Strategic Collaboration?: Evidence From Chinese City Banks","authors":"Ying Fang, L. Ye, Guo-Feng Wen, Rong Wang","doi":"10.4018/ijec.305235","DOIUrl":"https://doi.org/10.4018/ijec.305235","url":null,"abstract":"The banking sector has changed fundamentally as digital transformation is enabling new technology-driven banking business and creating novel customer requirements. Embracing bank-FinTech strategic collaboration (FSC) has been particularly vital to digital transformation of Chinese city commercial bank. The aim of this paper is to study the impact of FSC on the efficiency of city commercial banks. Using data from Chinese city commercial banks between 2014 and 2019, we first measure bank efficiency scores using stochastic frontier approach. Moreover, we employ the propensity score matching approach and the difference in difference estimation to explore the effect of FSC on bank efficiency. We find that FSC significantly improves bank cost and interest revenue efficiency in the aggregate. Our results also indicate that the positive relationship between FSC and cost efficiency is negatively associated with bank ownership concentration. In addition, the positive effects of FSC on revenue efficiency are weaker in state-owned city banks than in non-state-owned city banks.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"45 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75515107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
The Effect of Imbalanced Classes on Students' Academic Performance Prediction: An Evaluation Study 班级不均衡对学生学业成绩预测的影响:一项评价研究
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/ijec.304373
Osama El-Deeb, Walid Elbadawy, Doaa S. Elzanfaly
{"title":"The Effect of Imbalanced Classes on Students' Academic Performance Prediction: An Evaluation Study","authors":"Osama El-Deeb, Walid Elbadawy, Doaa S. Elzanfaly","doi":"10.4018/ijec.304373","DOIUrl":"https://doi.org/10.4018/ijec.304373","url":null,"abstract":"Imbalanced classes in data mining have more challenges in the educational data mining field. This is because most of the datasets collected from educational records are imbalanced by nature. Some classes dominate others and cause bias predictions. This paper studies the effects of the imbalanced classes on the performance of seven different classifiers, which are J48, Random Forest, k-Nearest Neighbors, Naïve Bayes, Random Tree, SVM, and Linear Regression. Moreover, the effectiveness of the SMOTE technique for handling imbalanced data is evaluated against these classifiers. This will be done through the proposal of an early predictive model that predicts student’s academic performance and recommends their appropriate department in a multi-disciplinary institute. According to our results, the Random Forest technique is the best and has the highest level of accuracy is 94.585%.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"2 1","pages":"1-17"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87833283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Role of Emerging Banking Technologies for Risk Management and Mitigation to Reduce Non-Performing Assets and Bank Frauds in the Indian Banking System 新兴银行技术在风险管理和缓解方面的作用，以减少印度银行体系中的不良资产和银行欺诈
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/IJeC.290293
N. Bhasin, A. Rajesh
{"title":"The Role of Emerging Banking Technologies for Risk Management and Mitigation to Reduce Non-Performing Assets and Bank Frauds in the Indian Banking System","authors":"N. Bhasin, A. Rajesh","doi":"10.4018/IJeC.290293","DOIUrl":"https://doi.org/10.4018/IJeC.290293","url":null,"abstract":"","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"1 1","pages":"1-25"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77259600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Design and Performance Analysis of High Throughput and Low Power RNS-Based FIR Filter Design on FPGA 基于FPGA的高吞吐量低功耗rns FIR滤波器设计与性能分析
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/ijec.301258
B. M. Kumar, H. Rangaraju
{"title":"Design and Performance Analysis of High Throughput and Low Power RNS-Based FIR Filter Design on FPGA","authors":"B. M. Kumar, H. Rangaraju","doi":"10.4018/ijec.301258","DOIUrl":"https://doi.org/10.4018/ijec.301258","url":null,"abstract":"A cost-effective finite impulse response (FIR) filter is introduced in this research work through Residue Number System (RNS). The moduli set selected provides the same benefit as that of the shift and add method. The implementation Residue Number System with reduced computational complexity, as well as high-performance finite impulse response filters that employ advanced Vivado Design Suite & Artix-7 field-programmable logic (FPL) devices, are presented in this research work. For a specified 64-tap FIR filter, a classical modulo adder tree is substituted by a binary adder with enhanced accuracy pursued by a single modulo reduction stage and as a result reducing the area constraints by approximately 18%. When compared to the three-multiplier-per-tap two's complement filter, the index arithmetic complex FIR filter that is based on the Quadratic Residue Number System outperforms by approximately 75% and at the same time involving some LEs for filters with more than 8 taps. When compared to the traditional design, a 64-tap filter requires only 41% LEs.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"54 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79964913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Study of the Relationship Between Workplace Violence and Online Dating 职场暴力与网络约会关系的研究
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/ijec.299008
Youngkeun Choi
{"title":"A Study of the Relationship Between Workplace Violence and Online Dating","authors":"Youngkeun Choi","doi":"10.4018/ijec.299008","DOIUrl":"https://doi.org/10.4018/ijec.299008","url":null,"abstract":"The purpose of this study is to investigate the impact of organizational politics on employees’ online dating behavior and how it influences their job satisfaction and organizational citizenship behavior. And this study explores if the leader-member exchange can moderate the relationship between organizational politics and online dating behavior. For this, it collected data from 305 employees in Korean companies through a survey method and uses SPSS 18.0 for hierarchical regression analysis for the hypothesis test. In the results, first, organizational politics increases online dating behavior. Second, online dating behavior decreases each relevant factor of job satisfaction and organizational citizenship behavior. Third, online dating behavior plays the mediating roles between organizational politics and each relevant factor of job satisfaction/organizational citizenship behavior. Finally, affect among the sub-factors of leader-member exchange decrease the effect of organizational politics on online dating behavior.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"1 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80235827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Building E-Publishing Capacity by E-Collaboration: An African Experience 通过电子协作建设电子出版能力:非洲的经验
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/ijec.295150
Emmanuel C. Ifeduba
{"title":"Building E-Publishing Capacity by E-Collaboration: An African Experience","authors":"Emmanuel C. Ifeduba","doi":"10.4018/ijec.295150","DOIUrl":"https://doi.org/10.4018/ijec.295150","url":null,"abstract":"The invention of the World Wide Web made the Internet attractive for publishing, offering Africans an opportunity to publish for the global market. Notwithstanding, their e-publishing initiatives, emerging business models and competitive e-collaboration with global distribution giants are yet to be adequately interrogated from an empirical perspective. This study, therefore, describes the progression of e-publishing from the perspective of e-collaboration. In-depth interviews, website observation and survey methods were employed in data collection; and 97 purposively selected publishing firms filled out a questionnaire offline whereas online data were collected from 82 available publishing websites. Findings indicate that publishers are building e-publishing capacity by launching websites, e-book clubs and online bookshops, collaborating with global giants for distribution, thereby increasing output significantly. This study updates the history of e-publishing, providing hitherto unavailable information on the progression of digital publishing in Africa's largest economy.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"1 1","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84884502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis of Information About Medicines Available on Facebook Facebook上可用药物信息的分析
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/IJeC.290299
S. Mukherjee, J. Kumar, Sushila Pareek, A. Jha
{"title":"Analysis of Information About Medicines Available on Facebook","authors":"S. Mukherjee, J. Kumar, Sushila Pareek, A. Jha","doi":"10.4018/IJeC.290299","DOIUrl":"https://doi.org/10.4018/IJeC.290299","url":null,"abstract":"","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"56 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85941716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Noise-Regularized Bidirectional Gated Recurrent Unit With Self-Attention Layer for Text and Emoticon Classification 带有自注意层的噪声正则化双向门控循环单元用于文本和表情符号分类
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/ijec.299007
V. MohanKumarA., N. NandakumarA.
{"title":"Noise-Regularized Bidirectional Gated Recurrent Unit With Self-Attention Layer for Text and Emoticon Classification","authors":"V. MohanKumarA., N. NandakumarA.","doi":"10.4018/ijec.299007","DOIUrl":"https://doi.org/10.4018/ijec.299007","url":null,"abstract":"The emoji are capable of expressing emotion beyond the meaning of the text by displaying visual emotions, which makes the content more distinct. Recently, emoji and text prediction has gained more significance, since it is hard to choose the appropriate one from thousands of emoji candidates. The small-sized dataset provides a poor description of features that resulted in classification and showed overfitting and underfitting problems. Therefore, Noise Regularized Bidirectional Gated Recurrent Unit (Bi-GRU) with Self-Attention Layer (SAL) is proposed for the classification of text and emoji. The proposed Noise Regularized Bi-GRU which is an aspect-based sentiment analysis performs a series of experiments on Twitter data to predict the sentiment of a tweet. The proposed Noise Regularized BGRU with SAL method obtained an accuracy of 87.77 % better when compared to the deep learning model that obtained an accuracy of 86.27 %.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"1 1","pages":"1-22"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89757014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysis on Hybrid Deep Neural Networks for Legal Domain Multitasks: Categorization, Extraction, and Prediction 混合深度神经网络在法律领域多任务中的分析:分类、提取和预测
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/ijec.301257
V. Vaissnave, P. Deepalakshmi
{"title":"Analysis on Hybrid Deep Neural Networks for Legal Domain Multitasks: Categorization, Extraction, and Prediction","authors":"V. Vaissnave, P. Deepalakshmi","doi":"10.4018/ijec.301257","DOIUrl":"https://doi.org/10.4018/ijec.301257","url":null,"abstract":"An extensive quantity of online statistics accessible in the legal domain has made legal data processing the main sector of research development. A broad variety of problems, including legal document categorization, information extraction, and prediction have been put into a scope of legitimate system issues. The utilization of digitalized based inventive support has multi-fold advantages for the legal counsel community. These advantages comprise decreasing the laborious human task complicated in observant, extracting the relevant information, reducing the charge and time by-way-of automation, solving problems without the participation of law court otherwise with smaller period and attempt, arbitrating the constitution law for law professionals as well everyday users and building recommendations found on predictive analysis, which possibly examined additional perfect. In this chapter, we are analyzing the adaptation of various deep learning methods in the legal domain focusing on three main tasks namely text classification, information extraction, and prediction.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"20 1","pages":"1-22"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86902838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Resource optimized Region Based Image Encryption Using Chaotic Maps 基于混沌映射的资源优化区域图像加密
Int. J. e Collab. Pub Date : 2022-01-01 DOI: 10.4018/ijec.304379
P. Kiran, P. Divakarachari, V. SudheeshK., S. SunilKumarD.
{"title":"Resource optimized Region Based Image Encryption Using Chaotic Maps","authors":"P. Kiran, P. Divakarachari, V. SudheeshK., S. SunilKumarD.","doi":"10.4018/ijec.304379","DOIUrl":"https://doi.org/10.4018/ijec.304379","url":null,"abstract":"Securing medical images becomes a major concern, to avoid leaking the confidential data. This problem motivated to develop many low computational complexity methods to encrypt these medical images. In this research work, Block Cipher based Region of interest medical image encryption with multiple maps is proposed. Primarily, Region of Interest (ROI) regions and Region of Background (ROB) are extracted with the help of Laplacian edge detection operator. Further important ROI regions are permuted in a circular fashion with the help of Arnold cat map and angle value. Then permuted ROI part is encrypted using the duffling system and unimportant regions are unchanged. The advantage of proposed work is that encrypt only selected/important part and that will achieve fast execution speed and reduction in computation complexity. The approach presented here enables the storage and transmission of medical image data within an open network. These results show that the security in the proposed method is much better than many chaotic encryption algorithms proposed in the recent times.","PeriodicalId":13957,"journal":{"name":"Int. J. e Collab.","volume":"13 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86803720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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