• Management & Information Systems Review
• /
• v.13
• /
• pp.99-125
• /
• 2003

The purpose of this study is to improve local government accounting system for value creation. In order to achieve this object: First, improvement of public finance policy can be obtained through connection of policy and estimate, and evaluation of soundness and rationality of tax system. Second, innovation of appropriation is achieved through effective division of cost, efficient division of budgetary resources and perfect accrual accounting. Third, a performance report must include accurate performance measures and performance indicators, for its effect is linked to public finance policy. Fourth, general principles of local government accounting must include significance, reliability, consistency with user concepts, relevance, understandability and comparability for financial reports.

• Management & Information Systems Review
• /
• v.4
• /
• pp.327-348
• /
• 2000

There are three major motives for M&A, financial synergy effect, operating & managerial synergy effect, and tax effect. The purpose of this study is to prove the operating & managerial synergy effect of M&A. To do this, we analyze the market-ripple effect of M&A, focusing on the increase in market power. Specifically we use cross-sectional data from 1985 to 1998 to show whether a market power of mergers is higher than that of a matched non-merging control group. we use time series data to show whether a market power of merger is higher than that of pre-merger. Also we use the event study using market model to show the stock price movement after mergers. The result is that although revenue increase after mergers, profit of the firms does not improve after mergers. Also there is sufficient evidence to say that there is a cumulative abnormal return for the firms after mergers.

• International Commerce and Information Review
• /
• v.12 no.2
• /
• pp.267-290
• /
• 2010

The Kaes$\breve{o}$ng Industrial Park(KIP) is being developed in the region, as a collaborative economic development with South Korea. KIP construction started in June 2003, and in August 2003 North and South Korea ratified four tax and accountancy agreements to support investment. Pilot phase construction was completed in june 2004, and the KIP opened in December 2004. In the KIP's initial phase, 15 South Korean companies constructed manufacturing facilities. Three of the companies had started operations by march 2005. First phase plans envisaged participation by 250 South Korean companies from 2006, employing 100,000 people by 2007. Based on the 2009, 117 factories were employing approximately 41,000 north' workers and 1,000 south' staff. The industrial park is seen as a way for South Korean companies to employ cheap labour that is educated, skilled and speaks Korean which would make communication considerably easier. However the zone still faces a number of obstacles. In the view point of these obstacles, especially this study focused on the complementary issues for the improvement of trade goods management systems between South and North Korea. At the result of this study, it is suggested that, i) to establish portal system based on single window, ii) strengthen user-interface hands of logistic facilities, iii) stable foundations of trade and/or logistic management systems, iv) networking of IT infrastructure with South and North Korea, and so on.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.5
• /
• pp.273-283
• /
• 2022

Banking and finance is a broad term that incorporates a variety of smaller, more specialized subjects such as corporate finance, tax finance, and insurance finance. A virtual assistant that assists users in searching for information about banking and finance terms might be an extremely beneficial tool for users. In this study, we explored the process of searching for information, seeking opportunities, and developing a virtual assistant in the first stages of starting learning and understanding Vietnamese to increase effectiveness and save time, which is also an innovative business practice in Use-case Vietnam. We built the FIBA2020 dataset and proposed a pipeline that used Natural Language Processing (NLP) inclusive of Natural Language Understanding (NLU) algorithms to build chatbot applications. The open-source framework RASA is used to implement the system in our study. We aim to improve our model performance by replacing parts of RASA's default tokenizers with Vietnamese tokenizers and experimenting with various language models. The best accuracy we achieved is 86.48% and 70.04% in the ideal condition and worst condition, respectively. Finally, we put our findings into practice by creating an Android virtual assistant application using the model trained using Whitespace tokenizer and the pre-trained language m-BERT.

• KIPS Transactions on Computer and Communication Systems
• /
• v.8 no.4
• /
• pp.79-86
• /
• 2019

This paper describes a time-series data prediction based on artificial neural networks (ANN). In this study, a batch based ANN model and a stochastic ANN model have been implemented using TensorFlow libraries. Each model are evaluated by comparing training and testing errors that are measured through experiment. To train and test each model, tax dataset was used that are collected from the government website of indiana state budget agency in USA from 2001 to 2018. The dataset includes tax incomes of individual, product sales, company, and total tax incomes. The experimental results show that batch model reveals better performance than stochastic model. Using the batch scheme, we have conducted a prediction experiment. In the experiment, total taxes are predicted during next seven months, and compared with actual collected total taxes. The results shows that predicted data are almost same with the actual data.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.16 no.3
• /
• pp.164-179
• /
• 2013

Ulaanbaatar city, the capital of Mongolia and the center of Mongolian economy, increasingly needs to have a long-term urban planning and a system to impose a tax on land effectively as insufficient development of land and the moving of nomad into urban areas increases during its rapid growth. Therefore, Mongolian government has to prepare a land management system which provides the infrastructure to improve work efficiency and service quality by integrating digitalized data about land and main facilities and sharing data between related departments. This research analyzed the environment to operate the existing land management system and working environment and redesigned database. Furthermore, it integrated all the existing systems, configured service network, and made working environment for land registration, land permission, land payment management to be processed online. With this, it provides the foundation to improve quality of people's life through the preparation of long term urban planning, clean tax administration of real estate, and reconsideration of efficiency about urban infrastructure investment.

• Journal of Digital Convergence
• /
• v.14 no.9
• /
• pp.181-198
• /
• 2016

This study explored the performance factors of casino information systems for foreigners, empirically examined the causal relation between these factors and the business performances through organizational trust and job satisfaction and suggested a direction to enhance the casino information systems. The result of this study showed that, firstly, information quality impacted positively on security reliability and job satisfaction. Secondly, system quality impacted positively on security reliability and job satisfaction. Thirdly, service quality impacted positively on security reliability and job satisfaction. Fourthly, security reliability impacted positively on job satisfaction through security reliability. Lastly, security reliability and job satisfaction impacted positively on business performance. This research must be continued by expanding upon the variables of this research study, and there is a need for follow up research on methods that can analyze the management performance of casino information systems from a diverse set of approaches and also research that conducts an analysis on systems that are implemented to prevent tax evasion.

• Management & Information Systems Review
• /
• v.31 no.4
• /
• pp.1-32
• /
• 2012

The purpose of this study is to research systems about accounting transparency and to present how to introduce the standards in accounting unlisted small and medium sized companies. In Korea, the measures of enhancing accounting transparency of enterprises was mainly focused on the listed enterprises. On the contrary, the measures on enhancing accounting transparency of the SMEs was relatively insufficient This study researches systems regarding accounting transparency in Korea and reviewes the previous studies about the accounting transparency in small and medium-sized companies. This study also research other countries' accounting standards specialized only in the unlisted small and medium sized companies in order to establish accounting standards in the unlisted small and medium sized companiesin Korean For the new accounting standards for SMEs, this study suggests both strenghtening part and alleviating one, comparing to the current enterprise accounting standards. Each has three points to discuss. For the alleviating part, those standards should be simple, understandable and fit to the incumbent tax law. For the enforcement part, those standards should stand with the accounting reality of the small and midium sized companies, and it should also contains detailed expressions of the accounting transparency and managerial accounting.

• Journal of Institute of Control, Robotics and Systems
• /
• v.20 no.10
• /
• pp.995-1001
• /
• 2014

In the aftermath of the financial crisis of 2008, while numerous members of the general public lost their homes and jobs, many of the largest banks held responsible for the crisis have been successfully rescued by bailouts. In this paper, through the analysis of income inequality, unemployment, tax cuts, and bailouts, we show that the interests of the general public are different from the interests of politicians and bankers. While the small elite group of politicians and bankers could set the deregulation policies with inordinate power based on full information, most people were ignorant and unconcerned about the policies, and hence did not oppose them. Specifically, we model the credit change in the financial markets of the United States by a finite state machine, and design three local supervisors representing three groups with different interests. It is then shown that the deregulation policies were adopted according to the difference of the supervisors' powers.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.7
• /
• pp.2377-2398
• /
• 2021

In the recent modernized world, utilization of natural resources (renewable & non-renewable) is increasing drastically due to the sophisticated life style of the people. The over-consumption of non-renewable resources causes pollution which leads to global warming. Consequently, government agencies have been taking several initiatives to control the over-consumption of non-renewable natural resources and encourage the production of renewable energy resources. In this regard, we introduce an IoT powered integrated framework called as green home architecture (GHA) for green score calculation based on the usage of natural resources for household purpose. Green score is a credit point (i.e.,10 pts) of a family which can be calculated once in a month based on the utilization of energy, production of renewable energy and pollution caused. The green score can be improved by reducing the consumption of energy, generation of renewable energy and preventing the pollution. The main objective of GHA is to monitor the day-to-day usage of resources and calculate the green score using the proposed green score algorithm. This algorithm gives positive credits for economic consumption of resources and production of renewable energy and also it gives negative credits for pollution caused. Here, we recommend a green score based tax calculation system which gives tax exemption based on the green score value. This direct beneficiary model will appreciate and encourage the citizens to consume fewer natural resources and prevent pollution. Rather than simply giving subsidy, this proposed system allows monitoring the subsidy scheme periodically and encourages the proper working system with tax exemption rewards. Also, our GHA will be used to monitor all the household appliances, vehicles, wind mills, electricity meter, water re-treatment plant, pollution level to read the consumption/production in appropriate units by using the suitable sensors. These values will be stored in mass storage platform like cloud for the calculation of green score and also employed for billing purpose by the government agencies. This integrated platform can replace the manual billing and directly benefits the government.