• Journal of Convergence for Information Technology
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• v.7 no.5
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• pp.169-175
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• 2017

Accounting information systems (AIS) capture and process accounting data and provide valuable information for decision makers. However, in a rapidly changing environment, continual management of the AIS is necessary for organizations to optimize performance outcomes. I suggest that building a dynamic AIS capability enables accounting process and organizational performance. Using the dynamic capabilities framework (Teece 2007). I propose that a dynamic AIS capability can bedeveloped through the synergy of three competencies: having (1) a flexible AIS, (2) a complementary business intelligence system, and (3) accounting professionals with IT technical competency. Using survey data, I find evidence of a positive association between a dynamic AIS capability, accounting process performance, and overall firm performance. The results suggest that developing a dynamic AIS resource can add value to an organization. This study provides guidance for organizations looking to leverage the performance outcomes of their environment.

• Journal of Convergence for Information Technology
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• v.7 no.4
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• pp.215-220
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• 2017

The purpose of this study is to investigate the effect of application of accounting information system on the manufacturing cost improvement of domestic small and medium - sized manufacturing companies. For this study, we conducted an empirical study on the accounting officers of small and medium-sized manufacturing companies in Korea. According to the results of the study, companies use accounting information system to understand the variation of manufacturing cost much and show positive effect. This study will contribute to improving the manufacturing cost of domestic small and medium - sized manufacturing companies by increasing the efficiency of accounting information system.

• Journal of Convergence Society for SMB
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• v.6 no.3
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• pp.1-6
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• 2016

The purpose of this study is to verify mainly qualitative characteristics impact on the quality of customer's accounting information to analyze the expertise and the level of accounting system, accounting service worker. This method was conducted in empirical research by the hypothesis based on the survey after examining theoretical background founded on the literature search. As a result, by accounting information systems needed Accounting services worker's professionalism, customer to be served most satisfies faithful representation among the qualitative characteristics and it showed timeliness is low satisfaction. This study will contribute to enhance the recognition and improvement of expertise of the accounting service workers, in the future for improving the quality of accounting information system, discussion will be needed about the contents and method for education and training.

• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.8-15
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• 2020

Due to the advance of artificial intelligence, wide use of RPA(Robotic Process Automation) became inevitable. The purpose of this study is to seek cost management optimization based on RPA which has automatic collection of cost information, timeliness and flexibility. The cost management system based on RPA will be able to optimize and improve the cost management process through the cross-system of cost information recognition and the cloud platform. Following the review of previous researches on the benefit of the RPA-related technology along with the investigation on the problems of current cost management system, this study will suggest a way to adopt RPA to optimize cost management system for the implement of strategic management accounting to support management decision making.

• Journal of Convergence for Information Technology
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• v.9 no.6
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• pp.75-82
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• 2019

In the era of the 4th Industrial Revolution when ICT and convergence are emphasized, companies want talented people with a wide range of complex problem solving competencies, system competencies as well as major knowledge. This study examined the difference in perceived competency needed for future accounting officers using 166 valid questionaries prepared with 4 factors based on previous researches. The result shows that the workers, who majored in accounting and have more than 5 years of company experience, and the CEOs think the social competence is the most important while the accounting professors think the major competence is the most important qualification. These results indicate that, in order to reflect the industrial needs, the colleges should change their accounting major curriculums to provide various competences such as the social competence in addition to the basic major competence.

• Journal of Convergence for Information Technology
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• v.10 no.9
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• pp.8-14
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• 2020

The objective of this research is to investigate how implementation of smart factory systems(SFS) effects management accounting(MA). The results based on data collected from 108 Korea small and medium enterprises(SME) confirmed that SFS implementation caused significant MA changes. Estimated regression models revealed that the most important SFS characteristic were the analytical capabilities since it positively influenced MA changes in four dimensions: internal reporting, budgeting, application of modern accounting techniques and MA employee's job. In the segment of budgeting, the quality of implementation of specialized bedgeting software had significant and positive influence. The only negative correlation founded was the one between the uncertainty of business environment and adoption of modern accounting techniques. Results from this study provide that SME should put special focus on implementation of business analytics modules in order to achieve comprehensive benefits in MA prctices.

• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.24-29
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• 2019

AIS is one of the most critical systems in any organization. Data quality plays a critical role in a knowledge-based economy. The objective of this study is to identify the most important factors for accounting information quality and their impact on AIS data quality outcomes. This study includes an extensive literature review to identify a set of CSF for data quality. The study uses empirical data to test the research hypothesis and resluts show that the top three most important factors that affect AIS's data quality are toop management commitmentm the nature of the AIS and input controls. The study further uses regression analysis to test the effect of those factors on AIS data quality, finding that there is a significant positive relationship between the perceived performance of the three factors and AIS data quality putcomes. To be develop to AIS data quality further study for CSF's control methodology is necessary.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.57-75
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• 2015

The study introduces the case of initial adoption and convergence of accounting system under the K-IFRS by the quasi-government entity, the National Research Foundation of Korea(NRF). Followings are the methodology used in the study. (1) The study provides several accounting issues, their impact on the financial information of the NRF and implications about NRF's financial information in the course of convergence of accounting system under the K-IFRS. (2) As examples of accounting issues, the NRF reflected several accounting difference such as revaluation of fixed assets, economic useful life, depreciation method, reclassification of investment, representation of transfer revenue from the government, the timing of revenue recognition, and employ benefits, etc. As results of adjustments under the K-IFRS, the NRF decreased 1,109 billion of total assets and 1,064 billion of total liabilities. Also, increase in operating expenses results a slight decrease in net income, which may have an impact on future management evaluation of the NRF. A successful case of K-IFRS adoption by the NRF which brings deep insight on adoption and convergence of new accounting system to other quasi-government entity.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.307-313
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• 2018

In this study, analyzed the effect of the introduction and operation of internal control system of a company on accounting information usefulness in a rapidly changing business environment. In order to conduct this study, we studied a comprehensive analysis on the usefulness of internal control and accounting information, and applied the research model to the purpose of this study. In this study, we analyzed the degree of the relationship between variables based on the discretionary accruals of the modified Jones model using the internal control evaluation index based on the components of the internal control system for China. In the empirical analysis, analyzed that the operation of internal control has a negative influence on discretionary accruals, which is a substitute for usability of accounting information. In addition, the risk management factors of the internal control system have a negative correlation with the usefulness of accounting information. The results of this study suggest that it is possible to present the positive function of internal control system to many firms where the introduction and operation of internal control is important, and to provide useful guidance in the study of the relationship between the operation of internal control and discretionary accruals for foreign company.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.10-16
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• 2021

As the implementation of smart factories spreads widely, the need for research to improve data efficiency is raised by prioritizing massive amounts of big data using IoT devices in terms of relevance and quality. The purpose of this study is to investigate whether prioritizing big data in management accounting decisions such as cost volatility estimation and recipe optimization can improve smart solution performance and decision-making effectiveness. Based on the survey answers of 84 decision makers at domestic small and medium-sized manufacturers who operate smart solutions such as ERP and MES that link manufacturing data in real time, empirical research was conducted. As a result, it was analyzed that setting prioritization of big data has a positive effect on decision-making in management accounting. became In addition, it was found that big data prioritization has a mediating effect that indirectly affects smart solution performance by using big data in management accounting decision making. Through the research results, it will be possible to contribute as a prior research to develop a scale to evaluate the correlation between big data in the process of business decision making.