• Title/Summary/Keyword: Accounting Information Quality

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The Impact of SMEs' Smart Factory Systems Implementation on Management Accounting (중소제조기업 스마트공장시스템 도입이 관리회계에 미치는 영향)

  • Kim, Kyung-Ihl
    • 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.

Content aware Internet Application Traffic Measurement and Analysis for Precise Accounting and Billing (정밀 과금을 위한 컨텐츠기반 인터넷 응용 트래픽 측정 및 분석)

  • 최태상;박정숙;윤승현;김형환;김창훈;정형석;이병준;정태수
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.40 no.10
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    • pp.138-149
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    • 2003
  • As the Internet is quickly evolving from best-effort networks to business quality networks, billing based on the precise traffic measurement becomes an important issue for Internet Service Providers (ISPs). Billing settlement is necessary not only between ISP and customers but also between ISPs. Currently, most ISPs use a flat rate charging policy. Besides the degree of difficulty in deriving appropriate charging policies agreeable by a concerned party, there are substantial technical challenges to come up with a good usage-based accounting system. Usage-based accounting depending on IP packet header information only is not sufficient anymore due to highly dynamic nature of the development and the use of the Internet applications such as peer-to-peer and network games. They are using port numbers dynamically and even several applications can use the same port number. Thus, more precise means of classifying them and accounting their traffic usages are required. In this paper, we propose a high performance, adaptable, configurable, and scalable content-aware application traffic measurement and analysis system which can achieve very accurate usage-based accounting.

The effect of prioritizing big data in managerial accounting decision making (관리회계 의사결정에 있어 빅 데이터 우선순위 설정의 효과)

  • Kim, Kyung-Ihl
    • 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.

The effect of Multiple Positions in the Board on the Quality of Internal Accounting Control System (이사의 겸임이 내부회계관리제도의 품질에 미치는 영향)

  • Jung, Woo-Sung
    • Journal of the Korea Convergence Society
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    • v.13 no.1
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    • pp.365-373
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    • 2022
  • The purpose of this study is to determine the effect of concurrent appointment as a director on the quality of the internal accounting management system (IACS). For analysis, 9,343 KOSPI & KOSDAQ company-year data from 2014-2019, excluding the financial industry, were used. As a result of the analysis, it was confirmed that the quality of IACS decreased as the number of multiple positions in the director increased. Although there is a difference in the roles of inside and outside directors, it was found that the quality of IACS decreases equally as the number of board members. According to the business hypothesis, this can be said to be the result of the agency problem within the company because directors, who were more busy with concurrent positions as directors, did not put sufficient effort into their work. This study suggests that information on the concurrent position of directors can be a new indicator that reflects the characteristics of the board in evaluating the effectiveness of corporate governance.

The effect of learning management system quality and self-regulated learning strategy on effectiveness of an e-Learning

  • Lee Jong-Ki;Lee Jang-Hyung
    • The Journal of Information Systems
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    • v.14 no.3
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    • pp.109-116
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    • 2005
  • With the increasing use of the Internet improved Internet technologies as well as web-based applications, the uses of e-Learning have also increased the effectiveness of e-Learning has become one of the most practically and theoretically important issues in both Educational Engineering and Information Systems. This study suggests a research model, based on an e-Learning success model, the relationship of the e-learner's self-regulated learning strategy and the quality perception of the e-Learning environment. This research model focuses on the learning environment and on the learners' self-efficacy. The former consists of LMS, learning contents and interaction that are provided by e-Learning and the latter refers to the learners' self-regulated learning strategy. In this study, academic performance was measured by student's real record. We will show the validity of the model empirically, and most of the hypotheses suggested in this model were accepted.

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An Influence of Introduction of Full-time Quality Control Personnel System On Audit Quality (품질관리 전담자 제도 도입이 감사품질에 미치는 영향)

  • Sug, Wan-Joo;Park, Kyoung-Ho
    • Journal of Convergence for Information Technology
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    • v.11 no.9
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    • pp.75-83
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    • 2021
  • This research is to analyze how an introduction of full-time quality control("QC") personnel system in audit firms influences on audit quality and verify how important it is to establish the quality control system for auditing quality. We measure audit quality as the level of discretionary accruals and compare the differences between audit firms with QC and without QC. In addition, we analyze the difference in audit qualities between before and after activating the full-time QC personnel system by comparing audit quality of before 2015 with that of after 2016. The results of this study are summarized as follows. First, the audit quality is higher when audit firms have QC personnel. Second, the audit quality is improved after the introduction of the full-time QC personnel system.

Weight Differences of Intellectual Capital Indicator Selection by Industry (산업별 지식자산 지표 선정기준의 차이에 대한 연구)

  • Han, Dong-Wook
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.30 no.4
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    • pp.118-126
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    • 2007
  • This study presents the intellectual capital (IC) indicator selection criteria based on the review of qualitative characteristics of financial accounting information and data quality of information systems. The AHP survey has been performed to verify the weight difference of the criteria to select effective IC indicators among industry. The results shows that there exists the weight differences in relevance and comparability factor by industry. To management IC effectively, different method considering industry environment should be required.

Reliable and Advanced Predictors for Corporate Financial Choices in Pakistan

  • SHAHZAD, Umeair;FUKAI, Luo;MAHMOOD, Faisal;JING, Liu;AHMED, Zahoor
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.7
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    • pp.73-84
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    • 2020
  • Existing studies disagree over the core predictors of firm-level financial choices in developing countries. The general practice only validates the traditional capital structure model, which leads to inconsistency and a lack of novelty. This study removed overfitting issues among existing factors and presented the most reliable and advanced capital structure model in Pakistani firms. The panel data include 368 Pakistani companies from 19 non-financial sectors over the period 2004 to 2017. We apply Akaike and Bayesian Information Criteria to remove overfitting issues among inconsistent proxies in the capital structure model. The fixed effects regression is used for basic results and the Generalized Method of Moments is applied to control the endogeneity. Besides the conventional proxies, we report that credit rating, distance from bankruptcy, managerial concentration, and institutional quality are the most advanced capital structure determinants in Pakistan. These predictors remain significant across firm size and growth levels. Also, the findings confirm that new predictors are reliable to define capital structure dynamics and improve the speed of adjustment in overall and sub-sample analysis. The major findings suggest that managers and policymakers should consider these advanced predictors to design their financial settings in firms.

Earnings Management of Firms Selected as Preliminary Unicorn (예비유니콘 선정기업의 이익조정에 대한 연구)

  • HAKJUN, HAN;DONGHOON, YANG
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.1
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    • pp.173-188
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    • 2023
  • This paper analyzed the Earnings management of firms selected as preliminary Unicorn. If a manager is selected as a preliminary unicorn firm, he can receive financial support of up to 20 billion won, creating a factor in managing the manager's earnings. The motive for management's earnings management is related to the capital market. Accounting information is used by investors and financial analysts, and corporate profits affect corporate value. Therefore, if the accounting earning is adjusted upward, the corporate value will be raised and investment conditions will be favorable. In this paper, earnings quality was measured by the modified Jones model of Dechow et al.(1995) by the ROA control model of Kothari et al.(2005) among the discretionary accruals estimated using an alternative accrual prediction model. Competing similar companies in the same market as the selected companies were formed, and the discretionary accruals were mutually compared to verify the research hypotheses, and only the selected companies were analyzed for the audit year and after the audit year. As a result of the analysis, it was found that the companies selected as preliminary unicorns had higher earnings management compared to the corresponding companies in question, which had a negative impact on the quality of accounting profits. It was found that the companies selected as preliminary unicorns continued to receive incentives for management's earnings management even after being selected. These results indicate that the companies selected as prospective unicorns are recognized for their value in the market through external growth rather than internal growth, and thus, incentives for management's earnings management to attract investment from external investors under favorable conditions are continuing. In the future preliminary unicorn selection evaluation, it was possible to present what needs to be reviewed on the quality of accounting earning. The implication of this paper is that the factors of management's earnings management eventually hinder investors and creditors from judging the reliability of accounting information. It was suggested that a policy alternative for the K-Unicorn Project, which enhances reliability were presented by reflecting the evaluation of earnings quality through discretionary accruals.

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Nonfinancial Information and Audit Efforts: Evidence from Management Discussion and Analysis (MD&A) Quality (비재무적 정보와 감사수준 : 경영진단의견서(MD&A) 공시품질에 관한 연구)

  • Ha-Yeon, Park;Cheong Kyu, Park
    • Journal of Korean Society for Quality Management
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    • v.50 no.4
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    • pp.735-749
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    • 2022
  • Purpose: The purpose of this study is to investigate whether the Management Discussion and Analysis (MD&A) has an impact on auditors' audit efforts. MD&A is a means of disclosure that provides information about a company from the management's perspective in financial reporting. The MD&A is a standardized format of nonfinancial information that can be useful for the stake-holders. The auditors have incentives to utilize the nonfinancial information contained in the MD&A for their decision-making. We posit that the MD&A disclosure quality is associated with the level of audit efforts. Methods: We hand-collect the disclosure data from the Financial Supervisory Service of Korea (the Korean SEC). Results: By employing two measures of audit efforts, we document evidence that the quality of MD&A is associated with both audit hours and audit fees. Conclusion: It implies that the auditors perform intensive audit work for companies with high-quality disclosure of MD&A. The study contributes to the literature by providing the first approach to examine the association between the MD&A disclosure and audit efforts.