• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.39-51
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• 2017

In October 2016, the NFSA (National Financial Supervisory Authorities) revised the network separation clause of the Regulation on Supervision of Electronic Financial Activities in order to promote the Cloud Computing implementation in the financial sectors. The new regulation, however, limits the Cloud Computing usage to non-critical information and its processing system. Financial institutions that provide customer data analysis and personalized services based on personal data regard current revision as unchanged as before. The implementation of Cloud Computing has greatly contributed to cost reduction, business innovation and is an essential requirement in ever-changing information communication technology environment. To guarantee both security and reliability of the implementation of the Cloud Computing in financial sectors, a considerable amount of research and debate needs to be done. This paper examines current Cloud Computing policies in the Korean financial sector and the challenges associated with it. Finally, the paper identifies policy suggestions based on both European Union and United States' approach as they have successfully introduced Cloud Computing Services for their financial sectors.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.5
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• pp.277-294
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• 2020

This study analyzed the effect of internal marketing factors of agricultural enterprises on corporate performance by using SNS as a moderating variable for agricultural enterprises workers. Internal marketing factors were divided into education and training, communication and compensation system, and corporate performance was set as a sub-variable of financial performance and non-financial performance. 349 questionnaires collected from agricultural enterprises workers were used for empirical analysis. The results of the analysis using SPSS v22.0 and Process macro v3.4 showed that first, communication and compensation systems had a significant effect on financial performance and education and training did not have a significant effect on financial performance. Second, communication has a significant effect on non-financial performance, and education and training has a negative effect on non-financial performance., and compensation system had no significant effect on non-financial performance. Third, SNS utilization significantly moderated the relationship between internal marketing factors and financial performance. Fourth, SNS utilization significantly moderated the relationship between internal marketing factors and non-financial aptitude. This study has significance that internal marketing factors that affect general companies are different due to the characteristics of agricultural management organizations, and that internal marketing factors that affect the performance of agricultural management organizations have been discovered. In particular, it was found that communication must be dealt with importantly to expand the performance of agricultural management. As a follow-up study, it is necessary to study the mediating model formed by the discovery of mediators and to study the moderated mediating analysis through the conditional process model in which the mediators are introduced.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.4
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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.

• East Asian Journal of Business Economics (EAJBE)
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• v.12 no.2
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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.

• Journal of the Korean Society of Costume
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• v.66 no.8
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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.

• The Journal of Information Systems
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• v.29 no.2
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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.

• Journal of the Korean Operations Research and Management Science Society
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• v.27 no.3
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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.

• Management & Information Systems Review
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• v.6
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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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• v.7 no.9
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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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• v.30 no.1
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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.