• Journal of Digital Convergence
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• v.20 no.2
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• pp.225-239
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• 2022

This study investigated the effect of digital agriculturalization factors on business performance with the use of financial support as a moderating variable for agricultural firm workers. The factors of digital agriculture were divided into digital technology innovation orientation, administration innovation orientation, healthiness of ecosystem and entrepreneurship orientation, and business performance was set as a dependent variable. 212 questionnaires collected from workers in agricultural businesses located across the country were used for empirical analysis. Analysis results using SPSS v22.0 and Process macro v3.4 are as follows: First, digital technology innovation orientation, administration innovation orientation, and entrepreneurship orientation have a significant effect on business performance, and the effect of ecosystem health on business performance is appeared to be insignificant. Second, the use of financial support was found to significantly moderating the relationship between digital technology innovation orientation and business performance, entrepreneurship orientation and business performance. On the other hand, it was found that the relationship between operational innovation orientation, business performance, and healthiness of ecosystem and business performance were not significantly moderated In addition, as a follow-up study, a study on the mediation model formed by the discovery of mediators and a study for a moderated mediation analysis through a conditional process model with additional mediators are required.

• Journal of the Korean Applied Science and Technology
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• v.39 no.6
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• pp.748-759
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• 2022

The purpose of this study is to investigate the mediating effect of job commitment and the moderating effect of job burnout on the relationship between the protean career orientation and subjective career success of hair designers. For this purpose, a survey was conducted on 163 employees working at a representative A brand hair salon in Korea, and statistical analysis was conducted using SPSS 21, and SPSS Process Macro v. 3.3. The results of this study are as follows: First, Protean career orientation affects job commitment to focus on oneself in all aspects related to their job, and as a result, it has a mediating effect on subjective career success that satisfies their career. Second, Through the interaction between protean career orientation and job burnout, the moderating effect on job commitment was confirmed. The significance of this study is to suggest a career success plan for hair salon workers with relatively high turnover rate in the service field by dealing with the understanding of the hair salon organizational culture and the lack of hair designer protean career orientation in terms of the mediating role of job commitment and job burnout in career success.

• The Korean Journal of Nuclear Medicine Technology
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• v.13 no.1
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• pp.35-39
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• 2009

Purpose: Diagnostic and functional imaging softwares in Nuclear Medicine have been developed significantly. But, there are some limitations which like take a lot of time. In this article, we introduced that the basic concept of macro to help understanding macro and its application to Brain SPECT processing. We adopted macro software to SPM processing and PACS verify processing of Brain SPECT processing. Materials and Methods: In Brain SPECT, we choose SPM processing and two PACS works which have large portion of a work. SPM is the software package to analyze neuroimaging data. And purpose of SPM is quantitative analysis between groups. Results are made by complicated process such as realignment, normalization, smoothing and mapping. We made this process to be more simple by using macro program. After sending image to PACS, we directly input coordinates of mouse using simple macro program for processes of color mapping, adjustment of gray scale, copy, cut and match. So we compared time for making result by hand with making result by macro program. Finally, we got results by applying times to number of studies in 2007. Results: In 2007, the number of SPM studies were 115 and the number of PACS studies were 834 according to Diamox study. It was taken 10 to 15 minutes for SPM work by hand according to expertness and 5 minutes and a half was uniformly needed using Macro. After applying needed time to the number of studies, we calculated an average time per a year. When using SPM work by hand according to expertness, 1150 to 1725 minutes (19 to 29 hours) were needed and 632 seconds (11 hours) were needed for using Macro. When using PACS work by hand, 2 to 3 minutes were needed and for using Macro, 45 seconds were needed. After applying theses time to the number of studies, when working by hand, 1668 to 2502 minutes (28 to 42 hours) were needed and for using Macro, 625 minutes (10 hours) were needed. Following by these results, it was shown that 1043 to 1877 (17 to 31 hours were saved. Therefore, we could save 45 to 63% for SPM, 62 to 75% for PACS work and 55 to 70% for total brain SPECT processing in 2007. Conclusions: On the basis of the number of studies, there was significant time saved when we applied Macro to brain SPECT processing and also it was shown that even though work is taken a little time, there is a possibility to save lots of time according to the number of studies. It gives time on technologist's side which makes radiological technologist more concentrate for patients and reduce probability of mistake. Appling Macro to brain SPECT processing helps for both of radiological technologists and patients and contribute to improve quality of hospital service.

• Proceedings of the KOR-KST Conference
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• 1995.12a
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• pp.45-73
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• 1995

The current paper presents a system dynamics model which can generate the land use anq transportation system performance simultaneously is proposed. The model system consists of 7 submodels (population, migration of population, household, job growth-employment-land availability, housing development, travel demand, and traffic congestion level), and each of them is designed based on the causality functions and feedback loop structure between a large number of physical, socio-economic, and policy variables. The important advantages of the system dynamics model are as follows. First, the model can address the complex interactions between land use and transportation system performance dynamically. Therefore, it can be an effective tool for evaluating the time-by-time effect of a policy over time horizons. Secondly, the system dynamics model is not relied on the assumption of equilibrium state of urban systems as in conventional models since it determines the state of model components directly through dynamic system simulation. Thirdly, the system dynamics model is very flexible in reflecting new features, such as a policy, a new phenomenon which has not existed in the past, a special event, or a useful concept from other methodology, since it consists of a lots of separated equations. In Chapter I, II, and III, overall approach and structure of the model system are discussed with causal-loop diagrams and major equations. In Chapter V _, the performance of the developed model is applied to the analysis of the impact of highway capacity expansion on land use for the area of Montgomery County, MD. The year-by-year impacts of highway capacity expansion on congestion level and land use are analyzed with some possible scenarios for the highway capacity expansion. This is a first comprehensive attempt to use dynamic system simulation modeling in simultaneous treatment of land use and transportation system interactions. The model structure is not very elaborate mainly due to the problem of the availability of behavioral data, but the model performance results indicate that the proposed approach can be a promising one in dealing comprehensively with complicated urban land use/transportation system.