• Journal of Fashion Business
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• v.17 no.6
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• pp.141-157
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• 2013

In this study, we analyzed the figure type and lower-body size of Shanghai and Hong Kong adult women in their early twenties using the data obtained from 3D whole body scanners. We also provided concrete information related to women's lower bodies, in terms of crotch width, crotch length, inseam, outseam, slope of waist, etc., among women in Shanghai and Hong Kong. The result may be useful to the Chinese apparel industry when designing trouser pants for adult women. According to the results of the factor analysis for categorizing the body shape of the lower half, 5 factors were obtained: obesity of the lower half factor, height of the lower half factor, length from waist to the crotch factor, factor related to legs, and shape of the abdomen factor. After performing a cluster analysis according to the factor analysis, three clusters were set: Cluster 1 was represented as the lower half growth type, which has a high value in height of the lower half factor and grows in the abdomen part. Cluster 2 was represented as thin legs type, which has a low value in most part compared to the length of leg bones and factors about legs that have high value. Cluster 3 was represented as the obesity type having a high value in the obesity of the lower half factor. Overall, thin legs type achieved a high rate in Shanghai adult women and obesity type received a high rate in adult women living in Hong Kong.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.717-729
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• 2021

This paper examines the efficacy of the default risk factor in an emerging market context using the Fama-French five-factor model. Our aim is to test whether the Fama-French five-factor model augmented with a default risk factor improves the predictability of returns of portfolios sorted on the firm's characteristics as well as on industry. The default risk factor is constructed by estimating the probability of default using a hybrid version of dynamic panel probit and artificial neural network (ANN) to proxy default risk. This study also provides evidence on the temporal stability of risk premiums obtained using the Fama-MacBeth approach. Using a sample of 3,806 firm-year observations on non-financial listed companies of Pakistan over 2006-2015 we found that the augmented model performed better when tested across size-investment-default sorted portfolios. The investment factor contains some default-related information, but default risk is independently priced and bears a significantly positive risk premium. The risk premiums are also found temporally stable over the full sample and more recent sample period 2010-2015 as evidence by the Fama-MacBeth regressions. The finding suggests that the default risk factor is not a useless factor and due to mispricing, default risk anomaly prevails in the Pakistani equity market.

• Journal of Digital Convergence
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• v.12 no.7
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• pp.113-121
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• 2014

The main purpose of the study is the impacts of applying two dimensions of Learning Organization on Job Satisfaction and the mediating effect of the Self efficacy. As a result, Structural Factor had not positive effect and Human Factor had positive effect on the Job Satisfaction. The mediating effect of Self efficacy had significant effect between Learning Organization and Job Satisfaction. The result of this study is not presented at the existing research. Therefore, tthe supervisor should make efforts to develop skills for the management of learning organization in order to fit the nature of the group members.

• Proceedings of the CALSEC Conference
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• 2002.01a
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• pp.155-174
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• 2002

e-Business is considered as a essential factor for sustaining competitive advantage and then enterprises increase investment in e-Business infrastructure and establish e-Business strategy. But there is not a methodology supporting e-Business strategy and then enterprises that are planning to introduction of e-Business have difficulty in creating vision and executable plan. Therefore this paper has a objective to offer a method for selecting e-Business domains among business activities. To do this, evaluation framework and evaluation criteria are developed for each business activities and model that supports deciding investment priority is constructed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.1
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• pp.14-24
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• 2011

Though many researchers have interested in the effects of creativity management on the business performance, few have researched the relationship between management execution systems for creativity management and the performance. This paper tried to identify the relationship between management execution systems for creativity management and the performance by using 181 Korean companies' survey data. In this paper, a creative management execution system is modelled by the six criteria that are widely used in the Malcolmn Baldrige National Quality Award, and the performance is measured by a composite variable called by business capability. Through an analysis of survey data using factor analysis and regression analysis, this paper tried to answer two research questions: Firstly, does creative management execution systems have the characteristics of multi-dimensionality? Secondly, does creative management execution systems have an impact on the firm's performance? It was found that a creative management execution system largely consists of two parts, which are called 'system factor' and 'management support factor', and system factors have a more strong impact on the performance. The contribution of this paper is in suggesting that establishing a systematic creative management execution system is required in order to efficiently manage for creativity.

• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.241-255
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• 2013

Convergence service, which is a combination of various services, is becoming more important. Among the many examples of convergence service, this study aims to analyze telematics service. By dividing Telematics service into information services and entertainment services, it was empirically proved that the relationship between each dimensions of TAM (perceived ease of use, perceived usefulness, purchase intention) and each service satisfaction, price, design factor. According to the result of structure equation model, service satisfaction and design factor have a significant effect on perceived ease of use, but not on perceived usefulness. It means that the perceived ease of use factor should be emphasized, because of service characteristics that are used during driving.

• World Technopolis Review
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• v.4 no.3
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• pp.144-156
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• 2015

Globalization and knowledge-based economy have increased the importance of local areas as the units of global competition. Therefore, the meaning of localities has been emphasized as the core value of economic activities. In this context, innovation cluster has been recognised and emphasized as effective policy measure for innovation. Therefore, most countries have been trying to develop innovation clusters with their expectation for a rapid growth of economy. Nevertheless, there have been minimal empirical researches on innovation cluster. Therefore, for suggesting implications that activation factors of innovation cluster are to have an effect on tenant's business activities, this study conducted a literature review for the theories of regional innovation system(RIS) and innovation cluster. As a result, the activation factors of innovation cluster were classified into institutional, physicals, and social factor. The case of Gyeonggi province's innovation cluster policy was examined for an empirical analysis. Data were analyzed using ordered logistic regression. The results were as follows:First, Institutional and Infra factors had a positive influence on firms' business activities in every empirical test, so they were the most important activation factors of innovation cluster. Second, regarding the interactive effects of financial support, the interactive effects between financial support and Infra factor had a positive influence on the firms' business activities, according to the result of the empirical test.

• The Journal of Fisheries Business Administration
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• v.47 no.3
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• pp.1-14
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• 2016

The purpose of this research paper is to segment seafood market and find the factor and process that divide the segment market. Cluster analysis and in-depth interview was performed to identify meaningful segment market. The result of the research found three segment market such as seafood integration familiarity group, domestic seafood familiarity group, seafood unfamiliarity group. Seafood integration familiarity group is active consumer that consume both domestic and imported seafood at home. This group have high preference and familiarity about seafood. Seafood familiarity group purchase imported seafood for the reason that imported seafood is cheaper than domestic seafood and have similar quality level. Domestic seafood familiarity group consume mostly domestic seafood and not purchase imported seafood for the reason that imported seafood have low quality and safety. This group have high preference and familiarity about seafood. Seafood unfamiliarity group is low preference group about seafood and seldom eat at home. This study found that the main factor that divide segment market is seafood familiarity that formed by experiencing seafood in youth and seafood familiarity is main factor that determine consumption degree of seafood at home.

• The Journal of Fisheries Business Administration
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• v.45 no.1
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• pp.17-31
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• 2014

This study examines trends in the overall income inequality of fishery household from 2003 to 2012 with the panel data of the Fishery Household Economy Survey. To investigate the potential determinants of income inequality, we decomposes the Gini coefficients into five income sources, fishery income, non-fishery income(non-fishery business income, non-business income), transfer income, irregular income and calculate the impact of each income sources on total income inequality. An evident trend toward increasing inequality of household income was found. Also, we find rising fishery income and non-fishery income play important role in the rapid increase of income inequality. Only transfer income appear to reduce total income inequality.

• Environmental and Resource Economics Review
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• v.9 no.5
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• pp.903-924
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• 2000

This paper examines the alternative method to measure the state of overall economic activity. The macroeconomic variables, used for business cycle, take more than a month after a period for collection and aggregation. The electricity generation data is compiled in mechanical ways just after the period. Based on this fact, we develop the two stage estimation method for coincident economic indicators in order to detect the business cycle in an earlier period, using Stock-Watson's Dynamic Factor Model. Using monthly data from 1970 to 1999, it is found that the experimental coincidence economic indicators are well-fitted to data and also that the estimates of two stage estimation method have good explanatory power, equivalent to the experimental coincidence economic indicators. While the RMSE of coincidence economic indicators is found to be 1.27%, that of the experimental coincidence economic indicators is found to be 1.31% and that of the two stage estimation method is around 1.44%. If we take consideration into the fact that it measures the business cycle in one month earlier, we come to the conclusion that the two stage estimation is of great use.