• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.181-189
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• 2022

The purpose of this study is to verify study models and examine a causal relationship among authenticity, job satisfaction, organizational commitment, quality of life and job achievement for amateur business team player. In order to achieve the purpose, this study conducted structural equation model analysis for study models consisting of extraneous variables after examining the authenticity(organization, leader) that amateur business players perceive and endogenous variables including job satisfaction, organizational commitment, quality of life, and job performance. The object of questionnaires in this study selected sports business team players nationwide as a population and 348 players were chosen as final effective samples by applying a convenient sampling method for offline and online questionnaires. The research tool for this study is a questionnaire. The two dimensions of authenticity were used by developing a scale. For all endogenous variables, the scales used in previous studies were modified and used according to the purpose of the study. This study analyzed the collected data, applying SPSS Win ver. 23.0 and AMOS 20.0 programs in order to analyze the characteristics of the study objects, describe questionnaires, and verify selected study hypothesis, individual hypothesis was verified after identifying the reliability and validity of measurement model, and the fitness verification of study models. In the results, all of the 8 hypothesis were adopted and the reciprocal relationship among each factors in the study model were observed.

• The KIPS Transactions:PartD
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• v.10D no.1
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• pp.67-76
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• 2003

The reuse of software is to use the components of software to be made beforehand to improve the productivity of it. The development of electronic commerce requires it which can be shown from changing the change of business models Reuse is the necessary solution to cope with a rapid change in the electronic commercial transaction. These reuse business models have the defects that they are not offered from version management. This paper has the purpose that by doing the supplementation of defects not to be offered from the version management and by introducing the quick change management about reuse business models, reusing the components and saving a development and reducing a development af period. The reuse of components by the new reuse business models has the advantages to minimize the danger elements from the design to the finish. We use the version management and try to present the method to make the efficiency of reuse by introducing components and managing the elements about components to the version in the technique to accomplish the reuse of software.

• The Journal of Society for e-Business Studies
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• v.14 no.1
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• pp.13-34
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• 2009

As ubiquitous computing technology is proliferating, a wider range of u-services applying ubiquitous computing technology has been implemented and some of the u-services have been actively considered for commercialization. Accordingly, establishing corresponding business models based on u-services also have been increased. However, structured methodologies to build u-service business models are still in its very early age. Moreover, since most of the legacy business model formulation and analysis methodologies have stressed on conventional or digital services, not u-services. Hence, the purpose of this paper is to propose a structured methodology of formulating and analyzing business models for u-services. An illustrative example is described to show the feasibility of the proposed methodology. To do so, Business Model Diagram (BMD), which adopts model components for u-services, is newly developed.

• The Journal of the Korea Contents Association
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• v.8 no.9
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• pp.101-114
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• 2008

This study has been carried out in an effort to bring light on the job scope which is required among the fashion models in Korea, then to sort out the concrete items of job pursuant to the job scope for the systemization of them. For this study, ten models who majored a fields of industry and the college in Korea, have gathered to analyze the job of the fashion models using the DACUM. As a result of it, the jobs of the fashion models have been classified into 7 duties and subsequent 86 tasks, while the fashion models entry jobs have been divided into 32 tasks(37.21%) that are necessary in the college before appointment. The result of analysis which investigates the relation between the significancy, the degree of difficulty and the frequency of the business, has it that the number of high-significancy business rises to 46 tasks(53.49%), high degree of difficulty business reaches to 21 tasks(24.41%), high frequency business is 18 tasks(20.93%), high degree of significancy and difficulty business stands at 13(15.12%), high significancy and frequency business amounts to 16 tasks(18.60%), and high degree of significancy, difficulty and frequency business reaches to 7 tasks(8.14%) respectively. These results should be actively reflected on the college curriculum before appointment, and on the job retraining courses for the incumbent fashion models, so as to enhance their job competency.

• Korean Business Review
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• v.9
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• pp.158-186
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• 1996

• Proceedings of the CALSEC Conference
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• 2002.01a
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• pp.357-361
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• 2002

• Proceedings of the CALSEC Conference
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• 1999.11a
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• pp.780-797
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• 1999

ㆍ eProcurement Services ㆍ eBusiness Security Services ㆍ Electronic Data Interchange(EDI) ㆍ Enterprise-scale Project Management and Accountability (omitted)

• East Asian Journal of Business Economics (EAJBE)
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• v.1 no.1
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• pp.17-21
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• 2013

Purpose: Forecasting of petroleum consumption is useful in planning and management of petroleum production and control of air pollution. Research Design, Data and Methodology: ARMA models, sometimes called Box-Jenkins models after the iterative Box-Jenkins methodology usually used to estimate them, are typically applied to auto correlated time series data. Results: Petroleum consumption modeling plays a role key in big urban air pollution planning and management. In this study three models as, MLFF, MLFF with GARCH (1,1) and ARMA(1,1), have been investigated to model the petroleum consumption forecasts. Certain standard statistical parameters were used to evaluate the performance of the models developed in this study. Based upon the results obtained in this study and the consequent comparative analysis, it has been found that the MLFF with GARCH (1,1) have better forecasting results.. Conclusions: Survey of data reveals that deposit of government policies in recent yeas, petroleum consumption rises in Tehran and unfortunately more petroleum use causes to air pollution and bad environmental problems.

• East Asian Journal of Business Economics (EAJBE)
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• v.8 no.4
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• pp.45-65
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• 2020

Purpose - This paper is to analyze the system and the models of financial analysis in the assessment of economic consistency and the creditability of borrower. To test the process of complex express-analysis, it is utilized by the concentric matrix models by using the matrix of 5×5.. Research design, data, and methodology - The estimation of economic consistency, the creditworthiness, the complex express-analysis with application of concentric matrix models were carried out on the basis of data of the report for the 2017 of corporations POSCO and in the first half of the 2018 Daewoo Shipbuilding & Marine Engineering of South Korea. Results - This paper focused on the unbalance of the corporate financial structure (capital, receivable) and the assessment of sustainability development, taking into account the liquidity, solvency, financial sustainability and economic viability of the enterprise. Conclusions - this paper also consider the theoretical means of regulating receivables. The material is presented in the pedagogical context and appendix of the conclusion.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.56 no.2
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• pp.243-252
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• 2023

Fluctuations in the price of aquaculture products have recently intensified. In particular, wholesale price fluctuations are adversely affecting consumers. Therefore, there is an emerging need for a study on forecasting the wholesale price of aquaculture products. The present study forecasted the wholesale price of olive flounder Paralichthys olivaceus, a representative farmed fish species in Korea, by constructing multivariate long-short term memory (LSTM) and gated recurrent unit (GRU) models. These deep learning models have recently been proven to be effective for forecasting in various fields. A total of 191 monthly data obtained for 17 variables were used to train and test the models. The results showed that the mean average percent error of LSTM and GRU models were 2.19% and 2.68%, respectively.