• Journal of Labour Economics
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• v.24 no.1
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• pp.67-96
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• 2001

The recent economic crisis started at the end of 1997 has brought about changes in labor market practices. One of them is rapid increase in the ratio of workers with alternative employment arrangement, so-called contingent workers. This type of arrangement, unlike traditional employment arrangement, makes employers properly adjust employment to business cycles and it also makes it possible for employees to solve time and spatial constraints related to labor supply. However, recent experience has revealed its negative characteristics such as lower wage rate, deficient fringe benefits, insufficient job security. Using the data from the first and the second wave of the Korea Labor and Income Panel Survey, this study focuses on change in the tendency of being contingent workers and decomposition of the wage differentials among regular and contingent workers by estimating the switching regression model. Results show that the recent crisis significantly contributed to probabilities of being contingent workers, especially for women, the young, the older, and the lowly educated. Decomposition shows that one quarter or one third of 35% of wage differentials are due to the price effect that the same productive characteristics are differently paid by the types of employment arrangements.

• Knowledge Management Research
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• v.22 no.3
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• pp.201-215
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• 2021

Owing to COVID-19 pandemic and global recession, enterprises are facing more and more fierce competition. Under this situation, retaining as much as recruiting good employees has become a top priority for organization. However, post 90s, with very different characteristics from traditional workers, entered the labor market, and both employers and employees suffered from post-90's high turnover rate. Therefore, this study focuses on Chinese post-90s and examined the effects of work values they pursue (utilitarian orientation, interest congruence, long-term development, and innovativeness) on job satisfaction and turnover intention. In addition, the groups with less than or more than one year of service were compared and analyzed. A total of 267 Chinese workers born in the 90s participated in the survey. Our research findings show that utilitarian orientation affects both job satisfaction and turnover intention, but interest congruence only affects job satisfaction while innovation only affects turnover intention. And the moderating effect of tenure of service was partially verified. Various implications based on the result were discussed.

• The Journal of Information Systems
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• v.30 no.4
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• pp.329-347
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• 2021

Purpose The purpose of this study is to examine the review of previous studies based on audiobooks, 1) using the IPA method, we examine the quality of audiobooks that listeners perceive as important and the quality of preferred audiobooks, 2) improvement directions for activating audio content and audiobook platform, to seek ways to establish strategic plans for the audiobook market. Design/methodology/approach This study conducted and experiment using three factors(usability, information and interaction) used in web service quality(WebQual). Usability consists of the availability of time, such as the use of audiobooks for hobbies and the ease of search. Information consists of the trends of the times, topics of converation and the latest trends. Interaction consists of the proportion and depth of celebrities. After that, grid analysis was performed using the traditional IPA method and the revised IPA method. It was judged that identifying and analyzing the preference for service provision and new content was more valuable than the Performance used in the existing method. Findings According to the results of the empirical analysis, it was found that the conversation material corresponding to informativity did not affect the audiobook during the online quality analysis. It is believed that improvements can be found through content production related to entertainment, webtoons, and general common sense that can increase listeners' interest. In addition, it was found that the advertising effect of celebrities corresponding to interactivity did not affect the results of this study, which should increase the concentration and immersion of listeners by increasing the technology for audiobooks.

• Korean Journal of Plant Resources
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• v.25 no.4
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• pp.465-472
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• 2012

We examined plants that were used as temple food in Jeju from May 2011 to January 2012. Thirty-six temples participated in the study, and there were 58 questionnaire respondents. Fifty-seven taxa were used as temple food, which belonged to 27 families, 51 genera, 55 species, and two varieties. The most commonly used family-based taxa were eight species of Compositae, six species of Cruciferae, and four species of Umbelliferae. Ten species of woody plants and 25 species of Jeju native plants were also used as temple food. The most useful part was the leaf, followed by the root, leaflet, and fruit. A patent search showed that most of the surveyed plants were covered by intellectual property rights. Forty-eight species had food-related patents, 34 species had cosmetics-related patents, and 38 species had medicine-related patents. The purchase and procurement of Jeju temple food plants usually depended on the market or plant cultivation rather than the use of the plants. Gathering of wild herbs for temple food has been performed on a limited basis. Therefore, collecting traditional knowledge for the use of Jeju plant resources should be conducted under different conditions rather than through a temple-related study.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.1-22
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• 2017

Analysis of future business or investment opportunities, such as business feasibility analysis and company or technology valuation, necessitate objective estimation on the relevant market and expected sales. While there are various ways to classify the estimation methods of these new sales or market size, they can be broadly divided into top-down and bottom-up approaches by benchmark references. Both methods, however, require a lot of resources and time. Therefore, we propose a data-based intelligent demand forecasting system to support evaluation of new business. This study focuses on analogical forecasting, one of the traditional quantitative forecasting methods, to develop sales forecasting intelligence systems for new businesses. Instead of simply estimating sales for a few years, we hereby propose a method of estimating the sales of new businesses by using the initial sales and the sales growth rate of similar companies. To demonstrate the appropriateness of this method, it is examined whether the sales performance of recently established companies in the same industry category in Korea can be utilized as a reference variable for the analogical forecasting. In this study, we examined whether the phenomenon of "mean reversion" was observed in the sales of start-up companies in order to identify errors in estimating sales of new businesses based on industry sales growth rate and whether the differences in business environment resulting from the different timing of business launch affects growth rate. We also conducted analyses of variance (ANOVA) and latent growth model (LGM) to identify differences in sales growth rates by industry category. Based on the results, we proposed industry-specific range and linear forecasting models. This study analyzed the sales of only 150,000 start-up companies in Korea in the last 10 years, and identified that the average growth rate of start-ups in Korea is higher than the industry average in the first few years, but it shortly shows the phenomenon of mean-reversion. In addition, although the start-up founding juncture affects the sales growth rate, it is not high significantly and the sales growth rate can be different according to the industry classification. Utilizing both this phenomenon and the performance of start-up companies in relevant industries, we have proposed two models of new business sales based on the sales growth rate. The method proposed in this study makes it possible to objectively and quickly estimate the sales of new business by industry, and it is expected to provide reference information to judge whether sales estimated by other methods (top-down/bottom-up approach) pass the bounds from ordinary cases in relevant industry. In particular, the results of this study can be practically used as useful reference information for business feasibility analysis or technical valuation for entering new business. When using the existing top-down method, it can be used to set the range of market size or market share. As well, when using the bottom-up method, the estimation period may be set in accordance of the mean reverting period information for the growth rate. The two models proposed in this study will enable rapid and objective sales estimation of new businesses, and are expected to improve the efficiency of business feasibility analysis and technology valuation process by developing intelligent information system. In academic perspectives, it is a very important discovery that the phenomenon of 'mean reversion' is found among start-up companies out of general small-and-medium enterprises (SMEs) as well as stable companies such as listed companies. In particular, there exists the significance of this study in that over the large-scale data the mean reverting phenomenon of the start-up firms' sales growth rate is different from that of the listed companies, and that there is a difference in each industry. If a linear model, which is useful for estimating the sales of a specific company, is highly likely to be utilized in practical aspects, it can be explained that the range model, which can be used for the estimation method of the sales of the unspecified firms, is highly likely to be used in political aspects. It implies that when analyzing the business activities and performance of a specific industry group or enterprise group there is political usability in that the range model enables to provide references and compare them by data based start-up sales forecasting system.

• Archives of design research
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• v.18 no.2 s.60
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• pp.59-68
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• 2005

This research suggests the direction realizing design business which means that designers overcome traditional role of passive design development and pursue active and subjective design development and eventually accomplish high profit by various sources except design development fee. For this, designers should be able to suggest highly successful design alternatives not by performing subjective aesthetic process but objective and scientific design development process through market-oriented information seeking, scientific design development and effective design management etc. In addition, designers should cultivates design business mind maximizing profit by various sources such as royalty, management fee and commission fee through exercising ownership, or participating distribution process and for outsourcing tasks. Regarding companies' side, they need to overcome existing manufacturing-based business paradigm focusing on rather material development, R&D, facility establishment than design or marketing, and to build design-centered business management system which menas the prior investment in design including needs identification of consumers.

• IEMEK Journal of Embedded Systems and Applications
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• v.12 no.4
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• pp.247-258
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• 2017

Since 2016 when the regulations related to vehicle structure and device modification were drastically revised, the car tuning market has been growing rapidly. Particularly, many drivers are showing interest in changing the interior and exterior according to their preference, or improving the specifications of their cars by changing the engine and powertrain, among others. Also, as the initial engine settings such as horse power and torque of the vehicle are made for stable driving of the vehicle, it is possible to change the engine performance, via Engine Control Unit (ECU) mapping, to the driver's preference. However, traditionally, ECU mapping could be only performed by professional car engineers and the settings were also decided by them. Therefore, this study proposed a system that collects data related to the driver's driving habits for a certain period and sends them to a cloud server in order to analyze them and recommend ECU mapping values. The traditional mapping method only aimed to improve the car's performance and, therefore, if the changes were not compatible with the driver's driving habits, could cause problems such as incomplete combustion or low fuel efficiency. However, the proposed system allows drivers to set legally permitted ECU mapping based on analysis of their driving habits, and, therefore, different drivers can set it differently according to the vehicle specifications and driving habits. As a result, the system can optimize the car performance by improving output, fuel efficiency, etc. within the range that is legally permitted.

• Archives of design research
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• v.17 no.4
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• pp.401-404
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• 2004

The proposal defines a Do It Yourself system that radically changes the traditional concept of window. it is based on a D.I.Y. system that allows the users to fully customize its windows according to his needs, combining a wood frame with different elements. At the same time, it is preserving the basic function of light and ventilation and defining a new aesthetic code. Despite the restriction of size and shape, the user can choose among many different elements to increase the space efficiency he needs and to give a more enjoyable perspective to the window both in and out door. Also, All the elements are standard and they can be mass-produced according to specific market needs. Therefore, the window of the future will not be just a thin membrane in between the inside and the outside, but it will also play an important "identification role. According to each individual pick, these new windows will help to give identify to anonymous metropolitan areas and to the people living within them.

• Spatial Information Research
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• v.19 no.6
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• pp.123-131
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• 2011

The object of this study is to build service model that combines developing IT technology with construction filed. It combines existing traditional construction project with high-tech IT choosingly, diverting construction project from labour-intensive to value-added technology-intensive industry. By doing so, it plans improving productivity and creation of new market. Now most ideal field of combining construction with IT technology is U-City industry that is being emphasized recently. Therefore, For this study, We analyze present condition of several IT technology used in construction and U-City project. Also, determining priority of promising IT technology for requirement analysis of consumer. And it proposes plan for construction of U-City service model through prospect and environment analysis of U-City and IT industry.

• The KIPS Transactions:PartD
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• v.18D no.4
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• pp.287-298
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• 2011

With the rage for Netbooks recently, Tablet PC and Smart phone users are rapidly increasing. Despite of the forecast that anticipates frequently practical use in various organizations and society, the comparison studies among the mobile devices rarely exist. The study examines the acceptable intention of the mobile devices, with which can replace traditional workstations and notebooks. UTAUT(Unified Theory of Acceptance and Use of Technology) was applied to the investigation of influencing factors for the acceptable intention, instead of the typical TAM(Technology Acceptance Model). The results illustrate that the significant differences of acceptable intention among the mobile devices occur based on two-side network effect even though some Smart phones share OSs and Apps with Tablet PCs and Netbooks.