• Journal of the Economic Geographical Society of Korea
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• v.25 no.4
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• pp.531-546
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• 2022

This study analyzes the performance and characteristics of the fostering policies for the focusing on growth path and type occupied in the Technoparks. First, the companies occupied in the Technoparks have shown the characteristics of landing on an actual growth phase beyond the start-up and fostering phases, and when considering the possession of a dedicated R&D organization and the portion of highly educated technical personnel having masters and doctorate degrees, these companies have also entailed the characteristics of being a technological innovation company. Second, about 30% of the companies that left the Technoparks secured their own factories and offices after standing alone, indicating that the fostering function after startup in the Technoparks has been performing a significant role on the growth path of start-up companies from a temporal perspective. Third, a majority of the companies occupied in the Technoparks were composed of scale-up companies or preliminary scale-up companies that contained promising innovative growth potential. However, it seems to urgently require the acceleration of innovation because many companies are categorized into a stagnated growth type that demonstrates a high R&D investment but low sales revenue growth.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.93-112
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• 2015

Depending on the change in consumer's consumption pattern, existing retail shop has evolved in hypermarket or convenience store offering grocery and daily products mostly. Therefore, it is important to maintain the inventory levels and proper product configuration for effectively utilize the limited space in the retail store and increasing sales. Accordingly, this study proposed proper product configuration and inventory level strategy based on RFM(Recency, Frequency, Monetary) model and SOM(self-organizing map) for manage the retail shop effectively. RFM model is analytic model to analyze customer behaviors based on the past customer's buying activities. And it can differentiates important customers from large data by three variables. R represents recency, which refers to the last purchase of commodities. The latest consuming customer has bigger R. F represents frequency, which refers to the number of transactions in a particular period and M represents monetary, which refers to consumption money amount in a particular period. Thus, RFM method has been known to be a very effective model for customer segmentation. In this study, using a normalized value of the RFM variables, SOM cluster analysis was performed. SOM is regarded as one of the most distinguished artificial neural network models in the unsupervised learning tool space. It is a popular tool for clustering and visualization of high dimensional data in such a way that similar items are grouped spatially close to one another. In particular, it has been successfully applied in various technical fields for finding patterns. In our research, the procedure tries to find sales patterns by analyzing product sales records with Recency, Frequency and Monetary values. And to suggest a business strategy, we conduct the decision tree based on SOM results. To validate the proposed procedure in this study, we adopted the M-mart data collected between 2014.01.01~2014.12.31. Each product get the value of R, F, M, and they are clustered by 9 using SOM. And we also performed three tests using the weekday data, weekend data, whole data in order to analyze the sales pattern change. In order to propose the strategy of each cluster, we examine the criteria of product clustering. The clusters through the SOM can be explained by the characteristics of these clusters of decision trees. As a result, we can suggest the inventory management strategy of each 9 clusters through the suggested procedures of the study. The highest of all three value(R, F, M) cluster's products need to have high level of the inventory as well as to be disposed in a place where it can be increasing customer's path. In contrast, the lowest of all three value(R, F, M) cluster's products need to have low level of inventory as well as to be disposed in a place where visibility is low. The highest R value cluster's products is usually new releases products, and need to be placed on the front of the store. And, manager should decrease inventory levels gradually in the highest F value cluster's products purchased in the past. Because, we assume that cluster has lower R value and the M value than the average value of good. And it can be deduced that product are sold poorly in recent days and total sales also will be lower than the frequency. The procedure presented in this study is expected to contribute to raising the profitability of the retail store. The paper is organized as follows. The second chapter briefly reviews the literature related to this study. The third chapter suggests procedures for research proposals, and the fourth chapter applied suggested procedure using the actual product sales data. Finally, the fifth chapter described the conclusion of the study and further research.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.659-674
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• 2019

The purpose of this study is to verify the path of the motivation, the flow, and problem gambling and intervention points. To this end, we verified the mediation effect of the motivation of the users outside sales offices influences the problem gambling through a flow and the moderated mediation effect of the frequency of the use of a bicycle racing tracks in that process. A total of 411 cases were analyzed using surveys conducted for one day on a weekday and weekend (September 13th and 15th 2018) for adults using an outside sales office in Jangan. According to the analysis, the causality of gambling by gambling motivation(amusement, excitement, avoidance, society, money) showed its effect positively by mediating the flow. The adjusted effect of the frequency of the use on the intermediary effect of the motivation ${\rightarrow}$ flow ${\rightarrow}$ problem gambling behavior, which is the main concern of this study, was found to be statistically significant. More specifically, the effect of adjusting the frequency of the use was statistically significant in both paths: motivation/flow and flow/problem gambling. It was also shown that, in the model with excitement, avoidance and social motivation, the adjustment of the frequency was only significant in the causal relationship between the flow and problem gambling. Based on these findings, this study made clinical and policy suggestions for intervention for gamblers and user protection regulations.

• Journal of Korea Technology Innovation Society
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• v.17 no.1
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• pp.146-173
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• 2014

Extant studies have explained that firm's innovations including technological product and process innovations contribute to its competitive advantage and growth, thereby supporting competitiveness and growth of industry. These studies, however, have focused mainly on the role and effect of technological change that is primarily measured by the patent numbers and R&D intensity. Aside from these traditional streams, there has been growing interest on the impact by various dimensions of innovation including non-technological innovations. Apart from the discussions on the dimensions and scope of innovation, stages or processes of innovation also have been studied. Extant studies on innovation process model, however, has limited its interests in the structure of the transformation of knowledge. This study have established a comprehensive model embracing operational and financial performance to investigate the causal paths between innovation and firm performance. Using multi-level generalized linear model with path analysis, this study have found results as follows: First, the processes from innovative activities to innovation output and outcomes including operational and financial performance at firm level were verified. Secondly, the influence of innovation decreases gradually as the distance away from the direct outputs of the innovation increase in the direction of financial outcomes. Third, the effect of innovation on the sales growth rate is higher for small businesses than for medium-sized businesses. The effect of innovation on the profit rate, however, is significant only for medium-sized businesses. For large businesses, innovation has no positive significant impact on any financial performance at all. Fourth, Fourth, the appropriability of innovation has positive impacts on innovative performance, patent applications, and operational performance.

• KSCI Review
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• v.14 no.2
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• pp.159-164
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• 2006

MES(Manufacturing Execution System) is a control system which supports basic activities(scheduling, working process and qualify management, etc) to execute working on the shop floor. As especially MES is a system to decrease the gap between production planning and operating, it executes functions that make decision between management and labor using real-time data. MES for real-time information processing requires certain conditions such as data modeling of RFID, which has recently attracted attentions, and monitoring of each product unit from manufacture to sales. However, in the middle of processing the unit with a RFID tag, transponders(readers) can't often read the tag due to reader's malfunctions, intentional damages, loss and the circumstantial effects; for that reason, users are unable to confirm the location of the product unit. In this case, users cannot avoid tracing the path of units with uncertain clues. In this paper, we suggest that the unique MES based on RFID and Bayesian Network can immediately track the product unit, and show how to evaluate it.

• Convergence Security Journal
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• v.16 no.1
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• pp.49-58
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• 2016

This study is to suggest that the Effects of job satisfaction and Organizational Commitment on the Level of Organizational Learning for the Private Security Guards. in Seoul and in the sales launch of the eight companies selected by the wireless, Companies under the cooperation of managers throughout the visit and the subjects of this study was good enough for the purpose described by the following stratified cluster random sampling 2009 September to 10 October to call a total of 320 questionnaires distributed 51 copies unfaithful 259 copies were used except for analysis. I used SPSSWIN 21.0 and AMOS 21.0 to reliability analysis, factor analysis, correlation analysis, independent-sample t-test, analysis of variance, stepwise multiple regression analysis and path analysis. The level of statistical significance was set to .05. The following are conclusions. the business aspect and human aspect in the Level of Organizational Learning has an effect on the Organizational Commitment. and the Organizational Commitment has an effect on the Job Satisfaction.

• Journal of the Korean Society of Costume
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• v.51 no.5
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• pp.135-145
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• 2001

In this study, investigation into the impact of sensation seeking tendency and clothing attitudes upon brand variety seeking will be made through the presentation of sensation seeking tendency as consumer's motivation of clothing behavior and clothing attitude as parameter. To give goals of this study. First, to help the understanding of consumers by elucidating consumer's psychological characteristics against sensation seeking tendency, clothing attitude and diverse brands seeking. Second, to offer standard for specifying market by presenting theoretical as well as empirical data. Third. to create successful marketing strategy according to consumer groups and moreover to increase sales efficiency. Research results are as follows : As a result of investigating on which factor among sensation seeking tendency affects on seeking various brands, change seeking tendency and aesthetic seeking impact upon seeking various kinds of brands. Change seeking is turned out to be the most influential factor. Fashion leadership, fashion innovativeness, attention concentration, social approval and clothing interest had an impact on diverse kinds of brand seeking: there was a positive relations with fashion leadership. attention concentration. clothing interest and fashion innovativeness, whereas a negative link with social approval. Three factors of sensation seeking tendency, two factors, that is change seeking and aesthetic seeking. have direct and indirect paths that lead to diverse brand seeking, via clothing attitude. that is to say, clothing interest. fashion leadership. social approval and attention concentration. On the other hand, thrill and risk seeking only had indirect path. Aesthetic seeking showed higher significance to indirect effect on diverse brand seeking which takes clothing attitude as a parameter, than that of direct effect. Brand variety seeking was under considerable effect of fashion leadership, clothing interest and attention concentration, in order.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.4
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• pp.763-774
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• 2016

Companies have recently become interested in the importance of long-term relationships with customers because business-based marketing ideas of the past have evolved into long-term relationship-based marketing. Establishing a relationship with customers to a company is not a simple method to form a market of consumers and provider; it is now understood as an important factor directly connected to the survival of a company. This study is to help Korean fashion brands in China build an efficient strategy for sales promotion and loyal customers through the analysis of the effect of familiarity with Korean fashion brands on satisfaction and brand loyalty in a rapidly growing Chinese fashion market. An online questionnaire covering Korean fashion brands in China was completed by 377 Chinese male and female customers aged 20 to 39 years old from March 20 to March 27, 2014. Data analysis was performed by factor analysis and path analysis using SPSS 20.0 and AMOS. Both direct experiences and indirect experiences influenced brand familiarity. It showed that brand familiarity had a significant direct effect and an indirect effect through satisfaction on brand loyalty. A competitive advantage in the present Chinese fashion market requires that loyalty builds and that brand loyalty increases by creating a long-term relationship with customers when familiarity about the brand is induced.

• Journal of the Korea Society of Computer and Information
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• v.11 no.5 s.43
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• pp.211-221
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• 2006

Manufacturing Execution System(MES) immediately enables users to share the information of systems industrywide, efficiently manages synthetic information with data collection through treating the data in a fast way, and helps their decision-making. MES for real-time information processing requires certain conditions such as data modeling of RFID, which has recently attracted attentions, and monitoring of each product unit from manufacture to sales. However, in the middle of processing the unit with a RFID tag, transponders(readers) can't often read the tag due to reader's malfunctions, intentional damages, loss and the circumstantial effects; for that reason, users are unable to confirm the location of the product unit. In this case, users cannot avoid tracing the path of units with uncertain clues. In this paper we suggest that the unique MES based on RFID and Bayesian Network can immediately track the product unit, and show how to evaluate it.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.6A
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• pp.151-162
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• 2008

As the innovative internet technologies and multimedia are being rapidly developed, digital content is a remarkable new growth industry and supplied by various channel. For example, domestic sales volume in digital contents marked an annual increase of 14.7% since 2003. Against the merits of digital content distribution, Information reengineering aspects are getting more serious issues in these days such as infringement of copyright, flood of inappropriate content, invasion and infringement of privacy, etc. In this paper, we are making a suggestion of the TDCDA-Trusted Digital Content Distribution Architecture in order to solve above problems. TDCDA is provided to how well-define and design the trusted path in digital contents distribution in internet environments using a secure distribution mechanism, digital content integrity and copyright protection. Finally, we also proposed the TDCDA algorithm and applicable guidelines for feasible approach in real computing environment.