• Journal of Fashion Business
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• v.28 no.4
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• pp.74-92
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• 2024

This study aimed to classify leg shapes of adult males according to their obesity levels and examine characteristics of each type. The goal was to provide essential data for developing tight-fit pants patterns for adult males. Factors defining leg shapes of adult males were identified as leg horizontal factor, leg vertical factor, ankle thickness factor, and ankle height factor. Leg shapes were categorized into four types: 1) type 1, medium-thick, short legs with thin, medium-height ankles; 2) type 2, medium-thick, long legs with thin, low-height ankles; 3) type 3, thin, medium-length legs with thick, high-height ankles; and 4) type 4, thick, short legs with thick, medium-height ankles. The higher the obesity level, the greater the proportion of type 4, whereas the lower the obesity level, the greater the proportion of types 2 and 3. This suggests that as obesity levels increase, the number of individuals with very thick legs, thick ankles, and shorter legs also increases. Implications of leg shape according to obesity levels in adult males are as follows. First, different age groups require distinct pants patterns. Second, when grading sizes, the variation by body part should be adjusted according to age group. This study is significant as it classifies leg shapes of adult males based on obesity levels and examines characteristics of each type.

• Asia-Pacific Journal of Business
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• v.15 no.3
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• pp.81-100
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• 2024

Purpose - This study investigates the direct effects of national governance quality on international logistics activities. The results provide practical insights for different stakeholders such as policymakers and offer detailed recommendations for improving national governance quality in projects aimed to enhance cross-border logistics operations. Design/methodology/approach - To test the hypotheses, a multivariate linear regression model using the ordinary least squares estimator is applied to 166 countries covering six periods: 2007, 2010, 2012, 2014, 2016, and 2018. Findings - All national governance indicators have a significant positive influence on the performance of cross-border logistics operations. At the dimensional level, government effectiveness, legal systems, anti-corruption efforts and regulatory quality have a greater impact than democracy and a stable political environment on all dimensions of logistics performance. Research implications or Originality - This study sheds light on how the quality of governance directly affects trading logistics. It advises governments to enhance governance quality and nurture a supportive institutional environment to improve transnational logistics proficiency. It also provides a better understanding of the institutional backgrounds of international logistics companies in target countries before their performance plans.

• Asia-Pacific Journal of Business
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• v.15 no.3
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• pp.385-397
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• 2024

Purpose - The purpose of this study was to analyze the dynamic relationship between oil prices and macroeconomic variables (gross domestic product, consumer price index, and interest rate). Long-run and short-run effects of oil prices on these macroeconomic variables are examined. Design/methodology/approach - The vector error correction model (VECM) is used to examine the short-run and long-term causality of oil prices, and a hierarchical Bayesian vector autoregressive model (HBVAR) is used to find the impulse of oil shock and the response of other variables. Findings - First, oil prices do not have short-term causality with macroeconomic variables, but they have long-term causality with interest rates and GDP. Second, the long-term stable relationship of oil prices and other macroeconomic variables is important to find out causality. Third, oil shock increases interest rates and decreases GDP and consumer price. Research implications or Originality - The significance of this study is a new attempt to analyze the dynamic relationship between oil prices and macroeconomic variables by linking VECM and HBVAR. Although VECM can analyze the long-term relationship and short-term dynamics between oil prices and macroeconomic variables, it was difficult to identify the transmission path of the oil price shock. HBVAR is confirmed to be flexible because it can bypass the process of selecting VAR or VECM through unit root test and cointegration analysis, and it is expected to reduce uncertainty of selecting hyperparameters.

• The Journal of the Korea Contents Association
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• v.12 no.8
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• pp.330-342
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• 2012

Most of professional baseball teams are not good for business condition because of operation costs in spite of support of mother company. This study measured the relative efficiency and productivity change of the Korean professional baseball teams using DEA model and Malmquist Index for 2006-2008. The main results of this study can be summarized as follows. First, in case of efficiency of CCR for 2006-2008, the number of efficient professional baseball teams(CCR value is one) are two(Doosan Bears, Samsung Lions), two(Doosan Bears, SK Wyberns), two(Lotte Giants, LG Twins) respectively. Second, in case of efficiency of BCC for 2006-2008, the number of efficient professional baseball teams(BCC value is one) are three(Doosan Bears, Samsung Lions, LG Twins ), four(Doosan Bears, SK Wyberns, Samsung Lions, Kia Tigers), four(Lotte Giants, LG Twins, SK Wyberns, Samsung Lions) respectively. Third, average of Malmquist Index representing productivity change for 2006-2008 are 1.0615, 1.0293 respectively. These values mean increase of productivity. Results of this study can be used by inefficient professional baseball teams to improve inefficiency.

• The Journal of Industrial Distribution & Business
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• v.10 no.2
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• pp.65-75
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• 2019

Purpose - Along with Chinese exchange rate's reform advancement, the issue of exchange rate of RMB has increasingly become the heated focus in the world. In July 2005, China carried out the reform of the exchange rate system, and this behavior has aroused the attention of the world. However, the dispute on whether the theory of purchasing power parity holds or not in China still exists. As such, this paper will attempt to explore whether the purchasing power parity is significant in China. Research design, data, and methodology - The monthly data from July 2005 to December 2017 will be employed to analyze the nominal exchange rate of RMB against the US dollar and the nominal exchange rate of RMB against the euro. Based on these datum, an empirical analysis will be conducted under the unit root test and the cointegration test to exploit the significance of purchasing power parity in China. Results - The findings of this paper reveal that an increase in China's consumer price index will lead to an increase in the RMB exchange rate, which will lead to the depreciation of RMB. Concomitantly, an increase in the consumer price index in the US and Europe will result in a decrease in the RMB exchange rate, which will lead to an appreciation of RMB. In general, in terms of the US, if US consumer price index increases by 1%, China's nominal exchange rate against US dollar will decrease by 0.905%; if China's consumer price index increases by 1%, China's nominal exchange rate against US dollar will increase by 0.648%. In terms of Europe, if Europe consumer price index increases by 1%, China's nominal exchange rate against euro will decrease by 0.277%; If China's consumer price index increases by 1%, China's nominal exchange rate against euro will increase by 0.235%. Conclusions - Generally speaking, the empirical evidences this paper provided show that the purchasing power parity theory has a certain explanatory ability for the decision of RMB exchange rate. As such, the purchasing power parity cannot hold completely, and China's government should continue to deepen the reform of the exchange rate system to improve China's exchange rate market.

• The Journal of Industrial Distribution & Business
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• v.11 no.8
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• pp.31-38
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• 2020

Purpose: This study uses 'Autoregressive Integrated Moving Average Model' to predict the impact of a sharp drop in the base rate due to COVID-19 at the present time when government policies for stabilizing house prices are in progress. The purpose of this study is to predict implications for the direction of the government's house policy by predicting changes in house transaction prices and house rental prices after a sharp cut in the base rate. Research design, data, and methodology: The ARIMA intervention model can build a model without additional information with just one time series. Therefore, it is a time-series analysis method frequently used for short-term prediction. After the subprime mortgage, which had shocked since the global financial crisis in April 2007, the bank's interest rate in 2020 is set at a time point close to zero at 0.75%. After that, the model was estimated using the interest rate fluctuations for the Bank of Korea base interest rate, the house transaction price index, and the house rental price index as event variables. Results: In predicting the change in house transaction price due to interest rate intervention, the house transaction price index due to the fall in interest rates was predicted to change after 3 months. As a result, it was 102.47 in April 2020, 102.87 in May 2020, and 103.21 in June 2020. It was expected to rise in the short term. In forecasting the change in house rental price due to interest rate intervention, the house rental price index due to the drop in interest rate was predicted to change after 3 months. As a result, it was 97.76 in April 2020, 97.85 in May 2020, and 97.97 in June 2020. It was expected to rise in the short term. Conclusions: If low interest rates continue to stimulate the contracted economy caused by COVID-19, it seems that there is ample room for house transaction and rental prices to rise amid low growth. Therefore, In order to stabilize the house price due to the low interest rate situation, it is considered that additional measures are needed to suppress speculative demand.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.744-754
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• 2017

In this study, an analytic hierarchy process (AHP) was conducted with the aim of developing a post-disaster refugee housing performance index system (PPS) to improve the post-disaster refugee housing (PRH) performance criteria for the foundation of quality-based development. The PRH was defined as a mid-term temporary housing facility that is used for a certain period before the permanent housing is established. The safety, rapidity, reusability, habitability, and economy were derived from major performance factors through prior research. A hierarchical PPS was organized by linking the major performance factors with the whole life cycle process of PRH. The priority of each performance index of PPS was determined quantitatively using the analytic hierarchy process through an expert survey. Based on AHP analysis, the performance criterion of the total weight 1-10 ranking and the performance criterion of the first rank in each category were classified into the essential performance criterion (must be achieved) and the others were classified into the recommended performance criterion (optional achieved) and the performance index was constructed considering all stages of PRH development. With the completion of the PRH performance index, it is expected that victims will be able to secure stable residence and return to their daily lives quickly.

• International Journal of Quality Innovation
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• v.8 no.1
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• pp.40-75
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• 2007

In the early industrial age which with high intensity of machine and labor, using financial measurement index was good enough to tie in company's mechanization and philosophy of management and been in efficiency. But being comply with "New Economic age," a new economic environment is full of knowledge and information, the enterprise competition had changed from tangible assets, plants to intangible innovation ability of knowledge. As recognizing the new tendency by enterprise, they value gradually the growth and influence from learning. Practice of organization learning not only needs firm structure and be in coordination with both hardware and software, but also needs an affect measurement model to offer enterprise to estimate learning performance. It's a good instrument of financial performance measure mold in the past years, But it's for measuring the past, couldn't formulate enterprise trend to future, hard to estimate investment for future, such as development of products, organization learning, knowledge management etc, as which intangible assets and knowledge ability just the key factors of being win around competition environment in the future. In 1992, Kaplan and Norton brought up Balance Scorecard (BSC) on Harvard Business Review, as an instrument helping enterprise to measure performance, which is being considered to be a most influence management instrument. It added non-financial index such as customer, internal process and learning growth besides traditional financial index, as offering enterprise an index to measure and manage intangible assets and intellectual property. As being aware of organization learning is hard to be ignored in the new economic age, this research is based on learning and growth of BSC, and citing one national material company try to let the most difficult measurement performance of organization learning, to be estimate through BSC, analyze of factor and individual case, to discuss the company how to make the related strategy and vision of organization learning to develop learning and growth of the structure of BSC, subject the matter of out put factors to be discussed, and measure the outcomes as a result of research. The research affect offers (1) the base implement procedure of carrying out BSC; (2) the reference of formulating measurement index while enterprise using BSC to estimate performance of organization learning; (3) the possibility bottleneck maybe forcing while carrying out BSC, to be an improvement or preventive for enterprise.

• Journal of Fashion Business
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• v.15 no.1
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• pp.103-114
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• 2011

This study is to provide basic information on clothing fitness necessary to develop apparel products for Korean companies that want to enter or have already made inroads into the Chinese market. In an effort to serve this purpose, a standard upper torso body model for Chinese women was established by applying the Rohrer Index and Size Designation of Clothes - Women of GB/T 1335.2-1997 to Chinese women in their 20s to determine body types and its characteristics. First, according to the result of applying the Rohrer Index to categorize body types, Type 1 showed the longest vertical body length and a short horizontal length with the lowest degree of flatness. Type 2 was a standard body type with a height of 158.73cm, weight of 53.02kg and the Rohrer Index of 1.32. Type 3 had a thick and flat body shape that had the highest degree of flatness and the shortest vertical length in its upper torso among all three types of body. Second, F-test was conducted on 4 distinctive body types obtained from comparing obesity scores to verify differences in body shapes for different degree of obesity. The test result indicated significant differences in 3 of the 4 body types and showed different structural components for different degree of obesity. Third, the result of comparing correlational distributions of body types and height range, and body types and degree of obesity for all and specified age groups revealed that about 33.30% of the body types appeared in Type2-A followed by 20.18% in Type1-A, 18.40% in Type2-Y and 7.91% in Type1-Y respectively. Body types and degree of obesity for two different age groups were most frequent in Type2-A. For the group of young women in their early 20s appeared the most in Type2-A, Type1-A, Type2-Y and Type 1-Y respectively and young women in late 20s were frequent in the order of Type2-A, Type2-Y, Type1-A and Type1-Y.

• The Journal of Society for e-Business Studies
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• v.15 no.3
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• pp.131-145
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• 2010

Until now, popular paradigms to provide e-catalog documents that are adapted to users' needs are keyword search or collaborative filtering based recommendation. Since users' queries are too short to represent what users want, it is hard to provide the users with e-catalog documents that are adapted to their needs(i.e., queries and preferences). Although various techniques have beenproposed to overcome this problem, they are based on index term matching. A conventional Bayesian belief network-based approach represents the users' needs and e-catalog documents with their corresponding concepts. However, since the concepts are the index terms that are extracted from the e-catalog documents, it is hard to represent relationships between concepts. In our work, we extend the conventional Bayesian belief network based approach to represent users' needs and e-catalog documents with a concept network which is derived from the Web directory. By exploiting the concept network, it is possible to search conceptually relevant e-catalog documents although they do not contain the index terms of queries. Furthermore, by computing the conceptual similarity between users, we can exploit a semantic collaborative filtering technique for recommending e-catalog documents.