http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/35229 Tue, 23 Jun 2026 11:31:41 GMT 2026-06-23T11:31:41Z http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/35005 Title: Factors Affecting Employee Motivation at Commercial Banks in Vietnam Authors: Pham, Thi Ha An; Vo, Van Tuan; Le, Hoang Anh Abstract: Employee motivation is an important dimension of organisational performance. Building on previous research, this study aims to identify those factors affecting employee motivation at commercial banks in Vietnam. Data for the research was collected through questionnaires sent to 300 bank employees directly or indirectly via email, of which 240 qualified for data entry and analysis. Using the Exploratory Factor Analysis method combined with Bayesian Linear Regression, research findings indicate that the empowerment of workers has an important positive influence on employee motivation. The results indicate that employee training and teamwork also have positive effects on employee motivation. We make connections with theory and related studies on the basis of research findings. At the same time, the policy implications for regulators are also discussed. Description: 21p. ; 523KB Wed, 01 Jan 2020 00:00:00 GMT http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/35005 2020-01-01T00:00:00Z http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/35004 Title: Artifcial Intelligence in the Creative Industries: A Review Authors: Anantrasirichai, Nantheera; Bull, David Abstract: This paper reviews the current state of the art in Arti cial Intelligence (AI) technologies and applications in the context of the creative industries. A brief background of AI, and speci cally Machine Learning (ML) algorithms, is provided including Convolutional Neural Network (CNNs), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs) and Deep Reinforcement Learning (DRL). We categorise creative applications intove groups related to how AI technologies are used: i) content creation, ii) information analysis, iii) content enhancement and post production workows, iv) information extraction and enhancement, and v) data compression. We critically examine the successes and limitations of this rapidly advancing technology in each of these areas. We further di erentiate between the use of AI as a creative tool and its potential as a creator in its own right. We foresee that, in the near future, machine learning-based AI will be adopted widely as a tool or collaborative assistant for creativity. In contrast, we observe that the successes of machine learning in domains with fewer constraints, where AI is the `creator', remain modest. The potential of AI (or its developers) to win awards for its original creations in competition with human creatives is also limited, based on contemporary technologies. We therefore conclude that, in the context of creative industries, maximum bene t from AI will be derived where its focus is human centric { where it is designed to augment, rather than replace, human creativity. Description: 63 p. ; 9 MB Fri, 01 Jan 2021 00:00:00 GMT http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/35004 2021-01-01T00:00:00Z http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/35003 Title: Major Taxation Challenges facing Small and Medium Scale Business Enterprises in Tanzania Authors: Masanja, Ndalahwa M. Abstract: The major objective of this study was to determine the major taxation challenges facing small and medium scale business enterprises (SMEs) in Tanzania. Specifically, this study was conducted in three regions of Tanzania which were Kilimanjaro, Arusha and Manyara. A total of 187 entrepreneurs participated in this study. The study revealed that the major challenges facing entrepreneurs for small and medium scale business enterprises were high and multiple taxes, changes in taxes and unreasonable taxes imposed by the revenue authorities. Other challenges were difficulty and bureaucracy in paying taxes, complex tax computations and unfriendly tax administrators. Some of the recommendations to curb those challenges were the application of principles of a good tax system. Basically, the government should create fairness and equality in tax determination. Moreover, the government should stream line the taxes and all services related to the imposition of those taxes. Ultimately, there should be a reasonable tax basis for small and medium scale business enterprises in Tanzania. Description: 32p. ; 426KB Tue, 01 Jan 2019 00:00:00 GMT http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/35003 2019-01-01T00:00:00Z http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/35002 Title: Fintech, regulatory arbitrage, and the rise of shadow banks Authors: Buchak, Greg; Matvos, Gregor; Piskorski, Tomasz; Seru, Amit Abstract: Shadow bank market share in residential mortgage origination nearly doubled from 2007 to 2015, with particularly dramatic growth among online “fintech”lenders. We study how two forces, regulatory differences and technological advantages, contributed to this growth. Difference in difference tests exploiting geographical heterogeneity induced by four specific increases in regulatory burden–capital requirements, mortgage servicing rights, mortgage- related lawsuits, and the movement of supervision to Office of Comptroller and Currency following closure of the Office of Thrift Supervision–all reveal that traditional banks con- tracted in markets where they faced more regulatory constraints; shadow banks partially filled these gaps. Relative to other shadow banks, fintech lenders serve more creditworthy borrowers and are more active in the refinancing market. Fintech lenders charge a pre- mium of 14–16 basis points and appear to provide convenience rather than cost savings to borrowers. They seem to use different information to set interest rates relative to other lenders. A quantitative model of mortgage lending suggests that regulation accounts for roughly 60% of shadow bank growth, while technology accounts for roughly 30%. Description: 31p. ; 2 MB Mon, 01 Jan 2018 00:00:00 GMT http://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/35002 2018-01-01T00:00:00Z