• 한국의류학회지
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• 제47권5호
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• pp.779-803
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• 2023

The growth of digital news media and the stock price index has resulted in economic fluctuations in the fashion industry. This study examines the impact of fashion industry news and macroeconomic changes on the Textile & Wearing Apparel KOSPI over the past five years. An auto-regressive integrated moving average exogenous time series model was conducted using the fashion industry stock market index, the news topic index, and macro-economic indicators. The results indicated the topics of "Cosmetic business expansion" and "Digital innovation" impacted the Textile & Wearing Apparel KOSPI after one week, and the topics of "Pop-up store," "Entry into the Chinese fashion market," and "Fashion week and trade show" affected it after two weeks. Moreover, the topics of "Cosmetic business expansion" and "Entry into the Chinese fashion market" were statistically significant in the macroeconomic environment. Regarding the effect relation of Textile & Wearing Apparel KOSPI, "Cosmetic business expansion," "Entry into the Chinese fashion market," and consumer price fluctuation showed negative effects, while the private consumption change rate, producer price fluctuation, and unemployment change rate had positive effects. This study analyzes the impact of media framing on fashion industry business cycles and provides practical insights into managing stock market risk for fashion companies.

• International journal of advanced smart convergence
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• 제12권1호
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• pp.220-229
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• 2023

The development of logistics technology due to the 4th Industrial Revolution and logistics 4.0 has changed the logistics environment from offline to online, and the growth of the online market has accelerated due to the recent increase in non-face-to-face delivery due to COVID-19. Such growth in the online market has expanded the logistics market for delivery, and contributes to creating an advanced logistics ecosystem as last mile services and logistics technologies begin to grow together. As traffic and environmental problems arise as a result, interest in transportation means of cargo increases, and changes to cargo electric vehicles and delivery cycles are being considered. However, since mass transportation of transportation focused on terminal delivery such as cargo electric vehicles and delivery cycles is limited in handling large quantities in urban areas, methods for efficiently transporting cargo while considering the environment are being devised. In order to solve such environmental problems and increase the efficiency of logistics delivery in urban areas, technologies using underground spaces based on existing urban railroads are being developed. In this study, a study was conducted on the establishment of evaluation criteria for selecting a test bed, which is a space for applying the system.

• KDI Journal of Economic Policy
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• 제31권2호
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• pp.47-85
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• 2009

본 연구는 1970년 이후 우리나라 거시경제변수들의 경기변동과 관련된 특징들을 포괄적으로 분석하는 것을 목적으로 한다. 본 연구에서는 우리나라의 각종 거시경제 변수들이 어떠한 특성을 보여 왔는지에 대해 실증분석하였다. 실증분석에서는 크게 국내 경제의 순환적 변동을 어떻게 식별할 것인지, 주요 경제변수들이 전체 경기순환과정에서 어떠한 패턴으로 변동하고 있는지, 그리고 경기변동과정의 안정성에 대한 변화 여부 등의 이슈를 다루었다. 분석 결과, 1970년 이후 우리나라 거시경제의 안정성은 외환위기 기간을 제외하고는 개선되었으며, 특히 2000년 이후부터는 경제내의 부문 간에 상호보완적인 관계가 나타나면서 전체적인 경기변동성이 감소하였던 것으로 나타나고 있다.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.595-605
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• 2021

The objectives of this research are to see if the phenomena of "demand following" and "supply leading" exist in the business cycle, as well as to look at how liquidity and output react to changes in credit risk, investment-saving gap, inflation, exchange rate, and growth rate of real national output. Employing quarterly data of Maluku and North Maluku (2008-2019), this study utilizes VAR/VECM for inferential analysis. This research found three important findings. First, liquidity and output growth influenced each other in the long run. Second, the determinants of output growth for Maluku are liquidity, investment-saving gap, and inflation, while the determinants of liquidity are output-growth, the gap of investment-saving, and inflation. Third, the determinants of output growth for North Maluku are liquidity, credit risk, investment-saving gap, inflation, exchange rate, and the national output-growth, while the determinants of liquidity are output-growth, credit risk, investment-saving gap, inflation, exchange rate, and national output-growth. The findings of this study supported the hypothesis of demand following and supply leading theory in the Maluku and North Maluku business cycles. This study concludes that economic development would improve if supported by liquidity adequacy through increased deposit growth.

• 산업경영시스템학회지
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• 제45권3호
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• pp.78-89
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• 2022

The purpose of this study was to propose useful suggestion by analyzing preventive replacement policy under which there are minor and major failure. Here, major failure is defined as the failure of system which causes the system to stop working, however, the minor failure is defined as the situation in which the system is working but there exists inconvenience for the user to experience the degradation of performance. For this purpose, we formulated an expected cost rate as a function of periodic replacement time and the number of system update cycles. Then, using the probability and differentiation theory, we analyzed the cost rate function to find the optimal points for periodic replacement time and the number of system update cycles. Also, we present a numerical example to show how to apply our model to the real and practical situation in which even under the minor failure, the user of system is not willing to replace or repair the system immediately, instead he/she is willing to defer the repair or replacement until the periodic or preventive replacement time. Optimal preventive replacement timing using two variables, which are periodic replacement time and the number of system update cycles, is provided and the effects of those variables on the cost are analyzed.

• 대한설비공학회지:설비저널
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• 제33권3호
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• pp.50-57
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• 2004

This article reviews absorption cooling R＆D in Europe from the viewpoint of fundamentals, cycle development and applications. The review contains information on R＆D, predominantly of public projects in the field of sorption cooling. We report on research which is performed in Europe with some stress on Germany. There is progress in fundamentals, thermodynamic cycle design, and also applications. In the fundamentals part the discussion about thermodynamics, working pairs, and heat and mass transfer is reflected. Today's discussion on thermodynamic cycles is not very strong. Main focus is on special solid sorption cycles, compression­sorption hybrids, and open cycles, In the applications part the chilling business is the main issue. Some interest is given to the improvement of efficiency on and the adaptation to low temperature waste heat use, but the stress is on the use of solar energy as heat source. The area of heat pumping for heating purposes is less prominent but not at all negligible. Finally, industrial heat pumping involves the reverse cycle (heat transformer, heat pump type Ⅱ) also, but there is no significant activity.

• 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.

• 한국조리학회지
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• 제8권3호
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• pp.1-20
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• 2002

The rapidly changing environments of today's hospitality industry lays more and more emphasis on the management of food & beverage sector. Hotel restaurants changes their menus 2 times a year. But they tend to modify or complement old items, or imitate other restaurants'menus, rather than try new ones. In addition, the change cycles are determined without any systematic and scientific criteria. Based on the survey, a plan for managing menu change cycles is proposed. The proposed plan is summarized as follows: First, the survey result demonstrates that the appropriate frequency of menu changes is: twice a year for the fixed menu; four times for the seasonal menu; four times for the promotion menu; twice for the business menu; and, three times for the event menu. Second, under the management maintained by consistent monitoring of menu change. Third, menu change should be managed through the menu analyses on its profitability, popularity, and the potential for further growth. Fourth, menu change should be managed through the periodic investigations of the tastes and preferences of the customers. fifth, a unique system for the menu change should be constructed by analyzing of other competitive restaurants or restaurant chain stores.

• Communications for Statistical Applications and Methods
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• 제22권5호
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• pp.415-434
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• 2015

In this paper we overview the literature on common features analysis of economic time series. Starting from the seminal contributions by Engle and Kozicki (1993) and Vahid and Engle (1993), we present and discuss the various notions that have been proposed to detect and model common cyclical features in macroeconometrics. In particular, we analyze in details the link between common cyclical features and the reduced-rank regression model. We also illustrate similarities and differences between the common features methodology and other popular types of multivariate time series modelling. Finally, we discuss some recent developments in this area, such as the implications of common features for univariate time series models and the analysis of common autocorrelation in medium-large dimensional systems.

• 대한영양사협회학술지
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• 제8권2호
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• pp.121-131
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• 2002

The purpose of this study was to verify the dietitian’s job description(2000) for dietitians working at business and industry foodservice. The survey was carried out for the frequency, criticality and difficulty of each job description with 4 point. The number of subject was 39 dietitians, who have been working over 3 years at their position. The results are following ; 1. Duties with high frequency and criticality were menu managements, purchasing, storage and inventory controls, food productions, meal services, waste managements and sanitation managements. 2. Duties with middle frequency and high criticality were managing equipments and facility, human resources managements, financial managements, self promotions. 3. Duties with low frequency and high criticality were nutrition assessment (life cycles, certain diseases, specific conditions), medical nutritional theraphy, nutrition education and public health nutrition. 4. For difficulty, duties related food service had lower points than that of nutrition service.