• Food Science and Industry
• /
• v.55 no.1
• /
• pp.2-22
• /
• 2022

Near-infrared spectroscopy (NIRS) is one of the representative non-destructive and eco-friendly analysis methods used for rapid analysis of various ingredients in the food industry. To develop analysis model with NIRS, Chemometrics are applied after pre-treatment of spectrum. Many studies have been reviewed on the analysis of general and functional components for agricultural and livestock products. In the case of livestock products, some studies have been conducted for on-line analysis. This study investigated results on various samples and component applying near-infrared spectroscopy. Furthermore, the results according to sample condition were compared. It was confirmed that NIRS is applied to various fields in the food industry.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.7 no.3
• /
• pp.49-61
• /
• 2019

Purpose - This study shows that which country has more competitiveness in aerospace industry. The reason why author choose aerospace industry for research is aerospace industry is one of major business in every country in the world instead of infant industry. Research design and methodology - In order to research this topic, there are 3 tools to analyze competitiveness in aerospace industry. To achieve analysis of competitiveness between USA and England, UN comtrade program which provides huge database including time serial data. Results - All of TSI are over zero (0) which means that from 2000 to 2018, USA aerospace industry is export specialization as USA aerospace industry has comparative advantage against England aerospace industry. All of TSI in USA are approaching to figure +1 as export specialization except 2010. Conclusions - Even though RCA value in 2000 is 6.313, however, when time goes by and they are 8.997 in 2005, 8.007 in 2010 and 8.389 in 2015 respectively and RCA value is slightly going down as figure 7 in 2018. we review above market share analysis data, USA has overpoweringly superior competitive power against British aerospace industry.

• The Journal of Industrial Distribution & Business
• /
• v.10 no.9
• /
• pp.53-60
• /
• 2019

Purpose - The objective of this paper is to discover if there exists a relationship between the economic index and distribution industry index in Korean. Because of the distribution industry boom in the recent years, a lot of interest in the relationship between the economic index and distribution industry index in Korean and the economy has been generated. This article examine on the mutual influence between economic index and distribution industry index in Korean. Research design, data, and methodology - For this purpose, we use the vector-auto regression model, impulse response function and variance decomposition of the economic index and distribution industry index, Granger causality test using weekly data on the economic index and distribution industry price index in korea. The sample period is covering from January 2, 2010 to August 31, 2019. The VAR model can also be linked to cointegration analysis. Cointegration Analysis makes possible to find a mechanism causing x and y to move around a long-run equilibrium (Engle and Granger, 1987). This equilibrium means that external shocks may separate the series temporarily at any particular time, but there will be an overall tendency towards some type of long-run equilibrium. If variables are found to have this tendency they are said to be cointegrated and a long-run relationship between these series is established. These econometric tools have been applied widely into economics and business areas to analyze intertemporal linkages between different time series. Results - This research showed following main results. First, from the basic statistic analysis of the economic index and distribution industry index in Korean, the economic index and the distribution industry index in korea have unit roots. Second, there is at least one cointegration between the economic index and distribution industry index in Korean. Finally, the correlation between of the economic index and the distribution industry index in korea is (+) 0.528876. Conclusions - We find that the distribution industry price index Granger cause the economic index in korea. As a consequence, the distribution industry index affect the economic index in Korean. The distribution industry index to the economic index is stronger than that from the economic index to the distribution industry index.

• Journal of Information Technology Applications and Management
• /
• v.13 no.1
• /
• pp.67-75
• /
• 2006

In this paper, we investigate the economic repercussion effects of the domestic satellite industry. The market size of the satellite industry between 2005 and 2009 is forecasted based on the world market forecast. By using the Input-Output analysis technique, three kinds of repercussion effects (domestic production, value added, workers induced by the satellite industry) between 2005 and 2009 are calculated.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2006.11a
• /
• pp.539-544
• /
• 2006

This study has been attempted to find that factors for successful six-sigma implementation influence non-financial performance & financial performance in korean finance industry. In addition, goal of this study is to find out core factor in korean finance industry. To achieve the aim of this study, a document study and interview and an empirical analysis were performed. The collected questionnaires for the empirical analysis were processed statistically through data cording. Cronbach'a was conducted to get the construct reliability. To identify which factors for successful six-sigma implementation influence performances of six-sigma implementation, factor analysis was conducted to get the construct validity. After factor analysis, multiple regressions were utilized to identify the core factors (or factors for successful six-sigma implementation). The result of the study that has been derived through this process is summarized below. Firstly, by analyzing the effect factors for successful six-sigma implementation has on non-financial performance of finance industry, it shows that Process-integration & standardization variable has influenced. Secondly, by analyzing the effect factors for successful six-sigma implementation has on financial performance of finance industry, it shows that 'Process-integration & standardization' variables and 'Customer & Market mind' variables have influenced. The results of this study show that 'Process-integration & standardization' and 'Customer & Market mind' are core factors to influence non-financial performance & financial performance in korean finance industry

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.29 no.4
• /
• pp.67-77
• /
• 2021

Space development has been led by the state due to huge investment, risks of development failure, and restrictions on international cooperation on technology development and transfer. For this reason, it has been developed mainly by some advanced countries and industrial network formed among them. However, Korean space industry is being promoted by the successful launch of 'KSLV-I' and 'CAS 500-I' and the space launch vehicle "KSLV-II" under development. Recently, Korea and U.S. agreed to end bilateral missile guidelines. Therefore it is expected that development of Korean space industry will be accelerated due to the disappearance of the constraining factors for the development of space launch vehicles. Accordingly, this study examined the development and formation of the Korean space industry through the framework of network analysis. Based on this, the effect of structural position in the industrial network as a resource on the performance of Korean space companies was examined. Panel analysis was applied. Through this study, ideas for fostering the domestic space industry and implications for national policy related with building an industrial ecosystem are derived. It contributes to the development of space industry in Korea.

• The Journal of Industrial Distribution & Business
• /
• v.13 no.9
• /
• pp.27-36
• /
• 2022

Purpose: The coronavirus pandemic has affected the tourism industry in a big way. The travel industry suffered intense damage from the pandemic and procedures acquainted to containing its spread because the pandemic outbreak has led to a decline in the number of tourists and a change in their behavior. At this point, this research is to investigate adequate solutions for tourism industry to overcome the crisis in a post-Covid 19 era. Research design, data and methodology: The current author gathered data from each included study to analyze and summarize the evidence when conducting a literature analysis. This stage involves gathering and reviewing intricate texts databases for the meta-analysis. Results: The current author found total five solutions from numerous literature contents, suggesting how to overcome the crisis in a post-Covid era for tourism industry. Solutions as follows, (1) Drawing beginning illustrations, (2) Introducing Government Backing Programs, (3) Increasing Promotion of Tourism Destinations, (4) Enhancing Safety and Security Measures, and (5) Improving Infrastructure and Facilities. Conclusions: This research suggests that although the global economic recession leads to reduced demand and intense competition from other sectors, the tourism industry will be well positioned to weather these challenges if practitioners of tourism organizations follow five solutions of this research.

• Journal of Distribution Science
• /
• v.21 no.7
• /
• pp.41-50
• /
• 2023

Purpose: The purpose of the research is identified factors influencing the competitiveness of the copper industry in Kazakhstan. Research design, data and methodology: A few studies are dedicated to the analysis in developing countries, particularly Kazakhstan. The algorithm was chosen for research provision: statistical and comparative analysis, correlation, and regression analysis. The data of 1999-2021 obtained from the World Bank, Bureau of National Statistics, National Bank of Kazakhstan. Results: The obtained results demonstrate the trends in the development of the industry since 2000. The development of the copper industry is strongly influenced by the distribution and state of the business environment, economic situation, and trends in the global commodity markets. Conclusions: According to econometric modeling, there is a correlation between the profitability of the copper industry, GDP, copper prices, liquidity, and energy resource prices. Trends in global commodity and energy markets have a significant impact on the state of the industry. Further research should be conducted to include an analysis and forecast of internal factors that may affect the development of the industry, such as copper reserves, condition of fixed assets, government programs, etc. It is also important to examine the correlation with the trends in the development of the global green economy and the revival of the Chinese market.

• Journal of Korea Trade
• /
• v.27 no.5
• /
• pp.23-40
• /
• 2023

Purpose - This study aims to present the changes and directions in the automotive supply chain in the face of changes in the global supply chain caused by external factors and the integration of industries resulting from internal factors. Assuming FDI in the Korean automotive industry in the US, this study analyzed the influential factors over the long term and derived the optimal location. Design/methodology - For this analysis, the characteristics and current status of the automotive industry are presented. Additionally, the study emphasizes the necessity and direction of change. The factors influencing Korea-US FDI in the automotive industry and the electric vehicle industry were analyzed through panel analysis. The optimal location from the perspective of distribution costs was selected using linear programming under the assumption that local demand will be replaced by local production in the future. Findings - This study found that the electric vehicle supply chain will change with the characteristics of the electric and electronic industries rather than with the traditional automotive industry. Additionally, in deriving the optimal location, the study emphasized the proximity to the consumption market. Originality/value - The analysis method and conclusions of this study not only present the influential factors and direction of FDI in the automotive industry but also can be applied to other industries. Moreover, the study provides practical and policy implications for industries and governments considering FDI in the US.

• The Korean Journal of Health Service Management
• /
• v.11 no.2
• /
• pp.55-64
• /
• 2017

Objectives : Recently, concerns about the smart healthcare industry has increased worldwide. This study estimates the economic effects of the smart healthcare industry by employing input-output analysis. Methods : In this study, $29{\times}29$ sector statistics were also used as the major research method for the industry. The main analysis tools of this study, thus, included a comparison of backward and forward-linkage effects and the inducement effects of the own-industry and other industries, as well as inducement coefficients, including production, value-added, employee's pay, operating surplus, production tax, and employment. Results : The results of the analysis show that the industry has an immense economic impact, affecting major macroeconomic factors including value-added and forward - linkage effects. Additionally, the inducement effects of the smart healthcare industry are significant compared to other industries in terms of production, employee's pay, operating surplus, production tax, and employment. Conclusions : The smart healthcare industry is a growth engines for national development, because it is the industry of high value-added services. This paper offers alternatives for efficient industrial policies.