• 한국경영과학회지
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• 제39권2호
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• pp.83-95
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• 2014

In this paper, we develop a portfolio selection model that can be used to invest in markets with margin requirements such as the foreign exchange market. An investment algorithm to implement the proposed portfolio selection model based on objective historical data is also presented. We further conduct empirical analysis on the performance of a hypothetical investment in the foreign exchange market, using the proposed portfolio selection model and investment algorithm. Using 7 currency pairs that recorded the highest trading volume in the foreign exchange market during the most recent 10 years, we compare the performance of 1) the Dollar Index, 2) a 1/N Portfolio which equally allocates capital to all N assets considered for investment, and 3) a hypothetical investment portfolio selected and managed according to the portfolio selection model and investment algorithm proposed in this paper. Performance is compared in terms of accumulated returns and Sharpe ratios for the 10-year period from January 2003 to December 2012. The results show that the hypothetical investment portfolio outperforms both benchmarks, with superior performance especially during the period following financial crisis. Overall, this paper suggests that a mathematical approach for selecting and managing an optimal investment portfolio based on objective data can achieve outstanding performance in the foreign exchange market.

• 산업경영시스템학회지
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• 제34권3호
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• pp.134-146
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• 2011

This paper suggests the product supply process model based on the store and production capacity, assortment planning and quick response for fast fashion retailers with BPMN. In the fast fashion industry, the standardized business process model is required to respond quickly market trends and customer requirements based on the quantitative and qualitative criteria. Thus we define the product supply processes which incorporate forecasting and assortment plan, cost and profitability of the production, store capacity based on the visual merchandising, and production capacity of the fast fashion retailers. Also we design the key performance indicators to evaluate the effectiveness of these product supply processes. The product supply process model for the fast fashion has great significance in embracing the fast fashion product development process because it presents the holistic view of the product supply process of the fast fashion and provides a performance evaluation mechanism. A case study shows that adopting the processes, a Korean fast fashion company achieves improvement in various performance indicators.

• 한국콘텐츠학회논문지
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• 제17권7호
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• pp.44-55
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• 2017

최근에 많은 기업들이 기업 목표를 달성하기 위해 프로세스 혁신이나 개선을 지속적으로 꾀하고 있으며, 이를 지원하는 도구로 BPM (Business Process Management)이 많이 도입되고 있다. BPM의 생애 주기는 프로세스 진단, (재)설계 및 실행으로 이루어지는데, 모든 BPM 활동들은 성과 척도와 밀접한 관련을 갖고 운영되어야 한다. 본 논문의 목적은 프로세스 기반 성과 측정 모델과 통합된 생애 주기 기반 BPM 프레임워크를 제안하는 것이다. 제안 프레임워크에서는 BPM 전 생애 주기 동안 비즈니스 프로세스와 성과 척도가 체계적인 상관관계를 가지고 밀접하게 운영된다. 기업의 혁신이나 개선 담당자들은 제안 프레임워크를 사용하여 프로세스 진단 단계에서는 기업 성과에 가장 영향을 주는 프로세스를 용이하게 확인할 수 있고, 프로세스 (재)설계 단계에서는 새롭게 설계된 프로세스의 성과를 측정할 수 있으며, 프로세스 실행 단계에서는 성과 척도를 모니터하여 비즈니스 활동 들을 조정할 수 있게 된다.

• 품질경영학회지
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• 제51권3호
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• pp.363-379
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• 2023

Purpose: The main objective of this research is to construct an AI-based Composite Supplementary Index (ACSI) model to achieve accurate predictions of the Composite Index of Business Indicators. By incorporating various economic indicators as independent variables, the ACSI model enables the prediction and analysis of both the leading index (CLI) and coincident index (CCI). Methods: This study proposes an AI-based Composite Supplementary Index (ACSI) model that leverages diverse economic indicators as independent variables to forecast leading and coincident economic indicators. To evaluate the model's performance, advanced machine learning techniques including MLP, RNN, LSTM, and GRU were employed. Furthermore, the study explores the potential of employing deep learning models to train the weights associated with the independent variables that constitute the composite supplementary index. Results: The experimental results demonstrate the superior accuracy of the proposed composite supple- mentary index model in predicting leading and coincident economic indicators. Consequently, this model proves to be highly effective in forecasting economic cycles. Conclusion: In conclusion, the developed AI-based Composite Supplementary Index (ACSI) model successfully predicts the Composite Index of Business Indicators. Apart from its utility in management, economics, and investment domains, this model serves as a valuable indicator supporting policy-making and decision-making processes related to the economy.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.485-494
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• 2020

The paper proposes a conceptual model which provides direction for researchers to empirically establish the connections between dynamic capabilities, innovation capabilities, entrepreneurial capabilities and financial and strategic performance. The author uses systematic literature review process to select the articles used in this study. First, the present paper review and discuss some major contributions to the theories of dynamic capabilities, innovation capabilities, entrepreneurial capabilities and their consequences. The author seeks to highlight different understandings of the concepts to clarify the distinctions between them. Second, the conceptual model and propositions for future studies were developed. The proposed model highlights the different measures of dynamic capabilities, innovation capabilities, entrepreneurial capabilities and their consequences. The model with its associated propositions was developed base on limitations and gaps observed from past studies. It is focused on empirically testing the direct impact of dynamic capabilities, innovation capabilities, and entrepreneurial capabilities on the performance of SMEs in Vietnam. Nevertheless, the proposed model can be applied to similar situations in different contexts and countries. Further empirical testing of proposed model would contribute to enriching existing knowledge of dynamic capabilities, innovation capabilities and entrepreneurial capabilities within SMEs and how these capabilities foster superior performance.

• 디지털융복합연구
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• 제20권2호
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• pp.225-239
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• 2022

본 연구는 농업경영체 종사자를 대상으로 재정지원 활용을 조절변수로 하여 디지털농업화 요인이 기업성과에 미치는 영향을 연구하였다. 디지털농업화 요인을 디지털기술혁신지향성, 생태계건강성, 운용혁신지향성 및 기업가정신 지향성으로 구분하고 기업성과를 종속변수로 설정하였다. 전국에 소재한 농업경영체 종사자들을 대상으로 수집한 설문지 212부를 실증분석에 사용하였다. SPSS v22.0과 프로세스매크로 v3.4를 활용한 분석결과는 첫째, 디지털기술혁신지향성, 운용혁신지향성 및 기업가정신지향성은 기업성과에 유의한 영향을 미치고 생태계건강성이 기업성과에 미치는 영향은 유의하지 않는 것으로 나타났다. 둘째, 재정지원 활용은 디지털기술혁신지향성과 기업성과, 기업가정신지향성과 기업성과 간의 관계를 유의하게 조절하는 것으로 나타났다. 반면에 운용혁신지향성과 기업성과, 생태계건강성과 기업성과 간의 관계를 유의하게 조절하지 않는 것으로 나타났다. 또한 후속 연구로는 새로운 매개변수 발굴을 통한 매개모형 연구와 조건부과정 모형을 통한 조절된 매개분석 연구가 필요할 것으로 보인다.

• 품질경영학회지
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• 제45권1호
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• pp.65-92
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• 2017

Purpose: The performance of global major airports is evaluated and several research questions are examined relative to the measures characterizing airport performance. Methods: The two-stage internal structure of airport performance is considered by decomposing it into physical operations and revenue generation. In the physical operations stage, operating costs, number of runways, terminal area and number of employees are used as inputs, while passenger throughput, cargo throughput and aircraft movements are taken as outputs. Subsequently, in the revenue generation stage, the outputs from the preceding stage are taken as inputs, while revenue is used as output. Results: Based upon this two-stage modeling of airport performance, a multiplicative two-stage network data envelopment analysis model is employed to calculate the overall and stage efficiencies of 59 airports using the recent data in the 2014 Airport Benchmarking Report published by the Air Transport Research Society. Several internal and external factors are also considered such as airport size, airport geographical location, proportion of international passengers, ownership (listed or not) and management style, and statistical analysis is performed to examine their impacts on airport performance. Conclusion: It is shown that the airports exhibit statistically significant difference across regions, and also some statistically significant factors affecting airport performance are identified.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.685-695
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• 2021

This study explores the impact of stochastic volatility in option pricing. To be more specific, we compare the option pricing performance between stochastic volatility option pricing model, namely, Heston option pricing model and standard Black-Scholes option pricing. Our finding, based on the market price of SET50 index option between May 2011 and September 2020, demonstrates stochastic volatility of underlying asset return for all level of moneyness. We find that both deep in the money and deep out of the money option exhibit higher volatility comparing with out of the money, at the money, and in the money option. Hence, our finding confirms the existence of volatility smile in Thai option markets. Further, based on calibration technique, the Heston option pricing model generates smaller pricing error for all level of moneyness and time to expiration than standard Black-Scholes option pricing model, though both Heston and Black-Scholes generate large pricing error for deep-in-the-money option and option that is far from expiration. Moreover, Heston option pricing model demonstrates a better pricing accuracy for call option than put option for all level and time to expiration. In sum, our finding supports the outperformance of the Heston option pricing model over standard Black-Scholes option pricing model.

• 벤처창업연구
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• 제13권4호
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• pp.99-116
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• 2018

본 연구의 목적은 기업의 성장단계별로 창업가가 갖춰야 할 핵심 역량요인이 반영된 통합 창업가 역량 모델을 제시하여 기술창업기업의 성공률을 제고하는 것이다. 연구의 목적을 달성하기 위해 본 연구는 초기 및 후기 기술창업기업의 핵심 창업가 역량과 기업성과 간의 관계, 그 관계를 강화하는 학습 역량의 조절효과를 실증분석 하였다. 연구의 결과는 다음과 같다. 첫째, 초기 기술창업기업 창업팀의 기술 기능적 역량, 창업가의 자원 활용 역량, 그리고 사업계획 수립 역량은 기업의 비재무적 및 기술적 성과를 모두 향상시키는 것으로 나타났다. 또한 기회 인식 역량은 비재무적 성과를 높이는 것으로 분석되었다. 이때 높은 수준의 학습 역량을 가진 창업가는 기술 기능적 역량과 자원 활용 역량 수준이 높아질수록 비재무적 성과를 더욱 향상시키며, 사업계획 수립 역량 수준이 높아질수록 기술적 성과를 더욱 향상시키는 것으로 확인되었다. 둘째, 후기 기술창업기업 창업가의 리더십과 자원 확보 역량은 기업의 비재무적 및 기술적 성과를 모두 향상시키는 것으로 나타났다. 또한 창업가의 전략적 역량은 비재무적 성과를 향상시키는 것으로 나타났다. 여기에서 학습 역량 수준이 높은 창업가는 전략적 역량 수준이 높아질수록 기업의 비재무적 성과를 더욱 향상시키는 것으로 분석되었다. 마지막으로 초기 및 후기 기술창업기업의 비재무적 성과와 기술적 성과는 모두 재무적 성과를 유의하게 향상시키는 것으로 나타났다.

• 한국건설관리학회논문집
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• 제5권2호
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• pp.202-210
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• 2004

국내 엔지니어링 산업은 시장개방으로 인한 국제 경쟁력 확보, 선진국 대비 기술수준 낙후, 발주방식의 다양화 등으로 인하여 체계적인 사업전략의 수립 및 평가가 절실히 요구된다. 본 연구에서는 국내외 각 산업분야의 경영성과측정에 활용되고 있는 BSC를 건설엔지니어링 기업인 H사에 적용한 성과측정모형을 제시하였다. 성과측정모형은 기업의 중장기 발전계획, SWOT분석, 직원의식분석을 통하여 재무, 성장, 내부효율, 개선 및 학습의 4개의 관점으로 구성되며, 각각의 관점별로 핵심 성공요인과 주요성과지표를 도출하였다. 그리고 정렬분석과 일치분석을 통하여 성과측정모형의 유용성을 검증하였다.