• 한국전자거래학회지
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• 제22권4호
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• pp.39-51
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• 2017

2016년 10월 금융당국은 금융권 내 클라우드 도입 활성화를 위해 전자금융감독규정의 망분리 조항을 개정하였다. 하지만 비중요 정보처리시스템의 데이터만 처리할 수 있도록 규제함으로써 정밀한 고객데이터 분석과 개인화 서비스를 제공하는 금융권에서는 이번 개정에 큰 변화를 느끼지 못하고 있다. 클라우드 서비스의 도입은 비용절감 및 업무혁신에 기여하는 바가 크며, 변화하는 정보통신기술 환경에 필수적인 요건이다. 따라서 보안과 신뢰성의 원칙을 고수하며 클라우드 도입에 유연하게 대처하기 위해서는 클라우드 서비스를 도입한 금융기관의 안정적 구현을 위한 정책에 대한 논의가 필요하다. 본 연구는 금융권 내 클라우드 도입 관련 제도의 한계와 변경 필요성을 검토하고, 영미의 사례분석을 통해 정책적 대안을 제시한다.

• 벤처창업연구
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• 제15권5호
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• pp.277-294
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• 2020

본 연구는 농업경영체 종사자를 대상으로 SNS 활용을 조절변수로 하여 내부마케팅요인이 기업성과에 미치는 영향에 관하여 분석하였다. 내부마케팅요인을 교육훈련, 커뮤니케이션으로 및 보상시스템으로 구분하고 기업성과를 재무적성과와 비재무적성과의 하위변수로 설정하였다. 농업경영체 종사자들로부터 수집한 설문지 349부를 실증분석에 사용하였다. SPSS v22.0과 Process macro v3.4를 사용한 분석결과는 첫째, 커뮤니케이션과 보상시스템은 재무적성과에 유의한 영향을 미치고 교육훈련은 재무적성과에 유의한 영향을 미치지 않는 것으로 나타났다. 둘째, 커뮤니케이션은 비재무적성과에 유의한 영향을 미치며 교육훈련은 비재무적성과에 부(-)의 유의한 영향을 미치고 보상시스템은 비재무적성과에 유의한 영향을 미치지 않는 것으로 나타났다. 셋째, SNS 활용은 내부마케팅요인과 재무적성과 간의 관계를 유의하게 조절하는 것으로 나타났다. 넷째, SNS 활용은 내부마케팅요인과 비재무적성과 간의 관계를 유의하게 조절하는 것으로 나타났다. 본 연구는 농업경영체가 가진 특성으로 인해 일반기업에 영향을 미치는 내부마케팅요인이 다르며, 농업경영체의 성과에 영향을 미치는 내부마케팅요인을 발굴했다는 의의를 가진다. 특히 농업경영의 성과확대를 위해서는 커뮤니케이션을 중요하게 다뤄야 한다는 것을 알 수 있었다. 후속 연구로는 매개변수의 발굴로 형성된 매개모형에 대한 연구와 추가로 매개변수가 도입된 조건부과정 모형을 통한 조절된 매개분석을 위한 연구가 필요할 것으로 보인다.

• 대한산업공학회지
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• 제39권4호
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• pp.260-270
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• 2013

This paper proposes a strategic portfolio model for managing performance of online games. The portfolio matrix is composed of two dimensions: financial performance and non-financial performance. Financial performance is measured by the conventional measure, average revenue per user (ARPU). In terms of non-financial performance, five non-financial key performance indicators (KPIs) that have been widely used in the online game industry are utilized: RU (Register User), VU (Visiting User), TS (Time Spent), ACU (Average Current User), MCU (Maximum Current User). Data envelopment analysis (DEA) is then employed to produce a single performance measure aggregating the five KPIs. DEA is a linear programming model for measuring the relative efficiency of decision making unit (DMUs) with multiple inputs and outputs. This study employs DEA as a tool for multiple criteria decision making (MCDM), in particular, the pure output model without inputs. Combining the two types of performance produces the online game portfolio matrix with four quadrants: Dark Horse, Stop Loss, Jack Pot, Luxury Goods. A case study of 39 online games provided by company 'N' is provided. The proposed portfolio model is expected to be fruitfully used for strategic decision making of online game companies.

• 동아시아경상학회지
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• 제12권2호
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• pp.1-7
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• 2024

Purpose: This study delves into the application of the Ohlson 1995 valuation model, particularly addressing the intricacies of the "Other information" variable. Our goal is to pinpoint the most suitable variables for substitution within this category, focusing specifically on the Mongolian Stock Exchange (MSE) context. Research design, data, and methodology: Employing data spanning from 2012 to 2022 from 60 MSE-listed companies, we conduct a comprehensive analysis encompassing both financial and non-financial indicators. Through meticulous examination, we aim to identify which variables effectively substitute for the "Other information" component of the Ohlson model. Results: Our findings reveal significant outcomes. While all financial variables within the model exhibit importance, certain non-financial indicators, notably the company's level and state ownership participation, emerge as particularly influential in determining stock prices on the MSE. Conclusions: This study not only contributes to a deeper understanding of valuation dynamics within the MSE but also provides actionable insights for future research endeavors. By refining key variables within the Ohlson model, this research enhances the accuracy and efficacy of financial analysis practices. Moreover, the implications extend to practitioners, offering valuable insights into the determinants of stock prices in the MSE and guiding strategic decision-making processes.

• 복식
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• 제66권8호
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• pp.109-122
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• 2016

This study is to explore the ways to increase the export performance of start-up companies, as opportunities are rising along with more companies entering the global market. Thus the study analyzed the factors affecting export performance of the start-up company by mainly looking at the international marketing capabilities of enterprises type of marketing strategy and internal environmental capabilities. The following were derived as factors for marketing 4P strategy: innovation of product, flexibility of export price, differentiation of distribution channels, diversity of promotional activities, and positive-ness of promotion. For internal capabilities of enterprises, innovation of CEO, initiative of CEO, risk susceptibility of CEO, information power of export market, and information power of competitor were derived as factors. Two types of performances were considered for export performance, financial and non-financial. Among innovation of product and risk susceptibility of CEO the non-financial performance of export performance, and only differentiation of distribution channels of marketing 4p strategy the financial performance. It showed that since performance was different depending on the entrepreneurship of the CEO, only innovative products differentiated from small and medium enterprises. risk susceptibility of CEO increased export outlook by corporate acknowledgment and image, creation of potential customers, and financial performance affected only differentiation in distribution channel rather than entrepreneurial spirit, information power, or organizational flexibility because of short business career and insufficient period enough to gain trust. Therefore, start-up companies need to improve their non-financial export performance by increasing innovation of product and risk susceptibility of the CEO. The companies need to widen the differentiation of distribution channels in the financial export performance.

• 한국정보시스템학회지:정보시스템연구
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• 제29권2호
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• pp.1-26
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• 2020

Purpose This study empirically investigates the impact of information technology(IT) investments on the financial and non-financial performance of a manufacturing firm. We examined the interaction effects of IT investments and strategic applications levels of information systems(IS). This study also demonstrated the three-way interaction effects of IT investments, levels of IS strategic applications, and perceived environmental uncertainty(PEU). Design/methodology/approach For this study, empirical data were collected from 98 manufacturing firms with the structured questionnaires. The data were analyzed with multiple regression models, and partial derivatives were utilized to identify the directions of the impact. Findings From the empirical results, it was found that when both the levels of IS strategic applications and the degrees of IT investments are high, the ratios of the costs of goods sold to total sales(RCGS) and the labor costs to total sales(RLCS) are decreased, as it were, the performance of a firm is improved. However, it was observed that when the levels of strategic IS are low, the high degrees of IT investments do not contribute to the improvement of a performance. The results showed that when the levels of strategic IS are high, the high degrees of IT investments incur the high RSAE not low RSAE. When PEU is considered, the empirical results showed that under the low degrees of PEU, the IT investments under high levels of strategic IS applications (strategic IT investments) improve the performance, as it were, low RCGS, and high degrees of perceived financial and non-financial performance. However, under high PEU, it was observed that high degrees of strategic IT investments do not increase the performance. When PEU is high, the strategic IT investments reduce RSAE, and under low PEU, RSAE is increased.

• 한국경영과학회지
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• 제27권3호
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• pp.1-19
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• 2002

Recently, increasing attention has been paid to building a successful software process in Information System(IS) implementation. This study establishes software process model as a key predictor of organizational performance. We propose a theoretical framework for capability maturity model derived from the Software Engineering Institute(SEI). This paper identify the process-related variables, financial performance and non-financial performance from the relevant literature and clarify the concept of software process by distinguishing between its component and determinants. We then examine the impact of software process on organizational performance. Hypotheses on software process were tested for 36 enterprises including 118 organizational units. Results indicate that software process capability may serve as a key predictor of organizational performance. Software process maturity found to be positively influenced on the financial and non-financial performance, while investment of information technology as a mediating variable not significantly affected to the performance.

• 경영과정보연구
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• 제6권
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• pp.137-162
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• 2001

Our business conglomerates are sharing their fates economically because of mutual debt warranty among their own affiliates and excessive financial loans. For this reason, it is inevitably restrictive to obtain the whole information on such conglomerates by individual and consolidated financial statements. To solve this problem, the system of combined financial statement was introduced through modifications of the Act of the outside audit of corporations in 1988. As a result, 15 out of this nation's 30 major business conglomerates prepared and submitted their own combined financial statements. In this paper, all financial statements are grouped into financial and non-financial parts, based on characteristics of business control and combined financial statement. Then the business size, financial rate and internal transactions for each of the conglomerates are analyzed, based on which problems of the combined financial statement as announced publicly are clarified. For the system, this study suggests improvement points such as a sufficient publication of any possible situations and interest coordination caused between the date of business settlement and that of preparing combined financial statements by applying principles of sharing to the evaluation of valuable instrument papers for investment and by determining the amount, 5% accounting for the total amount of debt warranty, foreign exchange assets and debts.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.293-304
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• 2020

The study reveals the extent of changes in selective financial numbers caused by fixed asset revaluation (FAR) and explores whether there was a management motive for playing the financial numbers game through using the FAR model. The data set consists of a sample of 142 listed companies purposively selected from 13 industries. The study found a significant impact of FAR on the net asset value (NAV), fixed asset intensity (FAI), and debt-to-equity ratio (DER). These findings are supported by the political cost and the debt covenant hypotheses. The study also observed a high growth of fixed assets by 9.5% to 14,603.8% resulting from FAR. More revealing is that FAR increased NAV in revaluer companies by an average of 427.20% as compared to 6.86% in non-revaluer companies. Even some companies with negative NAV took resort on FAR to show positive NAV. Besides, revaluer companies managed to reduce their DER by 70.45% as opposed to an increase of 8.45% in non-revaluer companies. Hence, the study concludes that most of the publicly-listed companies are involved in financial numbers game by the use of the FAR model. To build confidence among investors, companies should practice FAR rightly and disclose related information to help reduce information asymmetry.

• Communications for Statistical Applications and Methods
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• 제30권1호
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• pp.75-94
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• 2023

The growing trend of cyber risk has put forward the importance of cyber risk management. Cyber risk is defined as an accidental or intentional risk related to information and technology assets. Although cyber risk is a subset of operational risk, it is reported to be handled differently from operational risk due to its different features of the loss distribution. In this study, we aim to detect the characteristics of cyber loss and find a suitable model by measuring value at risk (VaR). We use the loss distribution approach (LDA) and the time series model to describe cyber losses of financial and non-financial business sectors, provided in SAS^® OpRisk Global Data. Peaks over threshold (POT) method is also incorporated to improve the risk measurement. For the financial sector, the LDA and GARCH model with POT perform better than those without POT, respectively. The same result is obtained for the non-financial sector, although the differences are not significant. We also build a two-dimensional model reflecting the dependence structure between financial and non-financial sectors through a bivariate copula and check the model adequacy through VaR.