• Journal of Distribution Science
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• v.21 no.1
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• pp.95-105
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• 2023

Purpose: This study aims to explore the distribution of work-life integration against COVID-19 and its Implications by analyzing remote work in Switzerland. Research design, data and methodology: The study performed literature review and descriptive analyses using various data such as perception surveys, statistics, and related documents. Results: The infectious disease was a turning point for many people in Switzerland by changing where and how people want to live. Since the COVID-19 crisis demonstrated that disease could be spread by proximity, negative perception about urban areas expanded, and rural areas are increasingly preferred due to fresh and clean air and a more ecological lifestyle. In addition, increased remote work, a change brought about by COVID-19, has subsequently led to changes in household habits and needs. Distance from work is no longer an important factor when someone chooses where to live. A trend is now emerging where households wanting to improve the quality of life leave the city center and move to the suburbs. Conclusions: Paradoxically, such trend accelerated by the COVID-19 crisis has an unintendedly positive impact on the distribution of work-life integration across society while providing more flexibility in terms of place and time management and lowering the burden on roads and infrastructure.

• The Korean Journal of Franchise Management
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• v.15 no.2
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• pp.17-37
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• 2024

Purpose: This study used the SOR model to analyze the impact of live commerce's modified livecommercescape factors (interactivity, presence, playfulness, convenience, and broadcaster characteristics) on repurchase intention through usefulness and flow. Research design, data, and methodology: 1,149 respondents with live commerce purchase experience were collected through an online survey, and the collected data was analyzed with SPSS 25.0 and SmartPLS 4.0 statistical package programs. Results: Presence and playfulness were found to have the highest influence on flow and usefulness. In particular, Presence and broadcaster characteristics were found to be the factors that had the greatest influence on flow. Playfulness was found to have the greatest impact on usefulness, and two-way communication was found to have the lowest influence among the five servicescape factors. Broadcaster characteristics also affect flow but not usefulness, and convenience only affects usefulness and does not affect flow. Flow shows results that affect usefulness and repurchase intention. Conclusion: Our findings provide a richer understanding of causal relationships within the SOR framework, demonstrating that broadcaster characteristics, two-way communication, presence, and playfulness can influence flow, perceived usefulness, and, consequently, consumer purchasing behavior.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 1994.10a
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• pp.69-73
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• 1994

The purpose of this study is to provide basic data for a desirable bathroom planning of apartments. This study analyzes the bathroom plans of the existing apartments. The collected data are 197 cases of bathroom plans of the apartments (area:10-69 pyung) constructed in Kangnam Gu. Seoul between 1973-1993. where 47.624 households live. This study consists of findings like numbers. location. size. and the proportion of the bathroom of the apartments in 10-69 pyung.

• Korean Institute of Interior Design Journal
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• no.29
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• pp.249-256
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• 2001

The Purpose of this study is to Provide a basic data for Projects of residential bathroom remodeling according to contemporary life style. The subjects of this investigation are collected through questionnaire from adult resident who live in Seoul Korea. Four hundred ten cases are collected, and frequencies, percentile, crosstabs, and factor analysis and varianc analysis using Spss-win program analyze adequate cases in necessary condition. In this study, residents demographic informations, bathroom preferences, types, sizes, cost construction period, instruments needs, behaviors and facilities seperation are included. By statistics treatment, the significance of the data is analyzed.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.11
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• pp.393-402
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• 2016

A Military L-V-C system consists of distributed complex systems integrating Live systems working on physical wall-clock time, Virtual systems ruled by virtually pseudo realtime events on a computer, and Constructive systems only depending on the causal relationship between the continuous events. Recently many needs for L-V-C training systems are increasing in order to achieve the maximum training effects with low costs. While theoretical/logical researches or only partially interworking technologies have been proposed, there are few perfect interworking architectures for totally interoperating L-V-C systems in world-wide. In this paper, we design and develop a novel interworking architecture based on data centric middleware for the consistent global time with the same states on the entire L-V-C data and events by means of integrating the heterogeneous distributed middleware standards of each L-V-C system. In addition, simulated L-V-C systems based on real systems will be used for the efficiency and performance of the developed interworking architecture.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.31-34
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• 2018

We live in the digital era, and the characteristics of our customers in the digital era are constantly changing. That's why understanding business requirements and converting them to technical requirements is essential, and you have to understand the data model behind the business layout. Moreover, BI(Business Intelligence) is at the crux of revolutionizing enterprise to minimize losses and maximize profits. In this paper, we have described a leading study about the situation of desk-top BI(software product & programming language) in aspect of front-end side and the Data Lake platform based on Big Data by data modeling in aspect of back-end side to support the business intelligence.

• Journal of Software Assessment and Valuation
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• v.17 no.1
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• pp.59-66
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• 2021

Recently, conceptual information model is changing fast, and these changes are coming about as a result of individual tendency, social cultural, new circumstances and societal shifts within big data environment. Despite the data is growing more and more, now is the time to commit ourselves to the development of renewable, invaluable information of social/live commerce. Because we have problems with various insoluble data, we propose about deep learning prediction model-based object classification in social commerce of big data environment. Accordingly, it is an increased need of social commerce platform capable of handling high volumes of multiple items by users. Consequently, responding to rapid changes in users is a very significant by deep learning. Namely, promptly meet the needs of the times, and a widespread growth in big data environment with the goal of realizing in this paper.

• Journal of Internet of Things and Convergence
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• v.10 no.2
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• pp.137-148
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• 2024

The purpose of this study is to determine how the use of retailtech technology affects consumers' purchase intention. Furthermore, this study aims to investigate the mediating effects of technology usefulness and ease of use on this influence relationship and whether experiential marketing moderates consumers' purchase intention. The survey was conducted from August 1, 2023 to September 30, 2023, and a total of 257 people participated in the study. For statistical analysis, hierarchical regression analysis, three-stage mediation regression analysis, and hierarchical three-stage controlled regression analysis were conducted to test the hypothesis. The results of the study are as follows. First, it was confirmed that big data-AI utilization, mobile-SNS utilization, live commerce utilization, and IoT utilization affect purchase intention in retail technology utilization. Second, technology usefulness has a mediating effect on IoT utilization, mobile-SNS utilization, and big data-AI utilization. Third, perceived ease of use of technology mediated the effects of IoT utilization, mobile-SNS utilization, live-commerce utilization, and big data-AI utilization. Fourth, escapist experience has a moderating effect on mobile SNS utilization and live commerce utilization. Fifth, esthetic experience has a moderating effect on mobile-SNS utilization and big data-AI utilization. Through this study, we hope that the domestic distribution industry will contribute to national competitiveness by securing the competitive advantage of companies by utilizing new technologies in entering the global market.

• Journal of The Korean Society of Grassland and Forage Science
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• v.14 no.2
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• pp.99-109
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• 1994

The objective of this study was to examin some animal and sward factors which determine the daily herbage intake of high yielding dairy cows at different levels of daily herbage allowance. In this paper, the principal data relevent to the changes of sward characteristics after five days of daily strip grazing at three experimental peliods were summarized. The pregrazing herbage mass and extended height increased significantly from 5,047 kg OM/ha and 341 mm in period 1 to 6,877 kg OM/ha and 446 mm in period 3, while there was not a significant difference among herbage allowance treatments(average 6,068 kg OM/ha and 410 mm). The live leaf material in the residual herbage showed a greater reduction than the dead material and leaf sheath in terms of extended height, proportion and density. The decreased rates after grazing were higher when the level of herbage allowance decreased. Live leaves were vertically distributed to 50 cm of sward height before grazing. All live lamina distributed to 25 cm were grazed in the high and medium, and to 20 cm in the low levle of herbage allowance after grazing. The depth of grazing and grazed volume of forage material were heighly affected by the levels of hehage allowance. The biomass after grazing in the high, medium and low daily herbage allowance decreased 35, 36 and 52%, respectively, compared to before grazing level. The highly significant correlations between herbage allowance and extended tiller height(r=0.79), proportion of live lamina(r=0.94) and density of live lamina(r=O.91) after grazing, respectively, were observed.

• Journal of the Korea Society of Computer and Information
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• v.27 no.1
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• pp.149-156
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• 2022

This research focuses on women in their 20s and 30s who have experience in consuming beauty products in the live broadcast of beauty products in China to find out the effects of consumers' consumption propensity on beauty product selection attributes. The data analysis is performed from April 29 to May 25, 2021 by using SPSSWIN 21.0 program for frequency analysis, factor analysis, reliability appraisal, technical statistical analysis, correlation analysis and multiple regression analysis. And the results of the study are as follows: According to the survey, the general characteristics are 20~25 years old, university, and the consumer price is between 500,000 and 1 million won. In terms of consumption propensity that the intrinsic pursuit of consumption, the impulsive consumption, the external pursuit of consumption were on a high average score which was 3.76, 3.63, 3.56 respectively, and in terms of the selection attributes of beauty products that the product intrinsic attributes, and the external attributes of products were on a high average score which was 3.91, 3.69 respectively. The external/internal attributes of beauty product selection attributes are all related to consumption propensity. According to the survey, the external pursuit of consumption, internal pursuit of consumption, and impulsive consumption of the propensity to consume all have a meaningful influence on the external/internal attributes of products. This result proves that the consumption tendency of beauty live broadcast consumers has a huge impact on the selection attributes of beauty products. In this regard, according to the consumption tendencies of Chinese women, the necessity of differentiated live-streaming marketing strategies for beauty products based on the characteristics of beauty product brands, categories, and designs has been proposed.