• Journal of Distribution Research
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• v.15 no.5
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• pp.37-60
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• 2010

Department Stores have been in place as typical large-scale retailer in Korean retail market. After Asian financial crisis in 1997, the market share of major three department stores has been increased and they have had a dominant position in relationship with vendors or manufacturers. Thus, they are able to control sales commission. Sales commission is defined as things that department stores which contribute to products sales instead of manufacturers take some portion of price as their revenue. In other words, vendors or manufacturers pay some amount of money from their sales by contracted ratio to department stores. The problem is that vendors or manufacturers think that sales commission is high. However, department stores have a different opinion that sales commission is not high because they generate new value from gathering customers and doing marketing activity on behalf of vendors or manufacturers. Because department stores have operated with business model of renting sales space to vendors or manufacturers instead of buying goods directly from them, this situation has been taken place. The revenue of department stores depend on sales commission. Thus, they want to get a dominant power to control sales commission in relationship with vendors or manufacturers. So, they have tried to increase their size and brand power. The considered policies related in sales commission of department stores are as following: preventing monopoly or oligopoly of department store, being strength of monitoring for department stores' unfair trade, strict enforcement of law for large-scale retailer's unfair trade, and inducing win-win strategy doing voluntarily by department stores.

• Journal of Distribution Science
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• v.11 no.10
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• pp.93-105
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• 2013

Purpose - This empirical analysis determines the structured causal relations between perceived value, customer satisfaction, and repurchase intention among users of traditional markets. The results of this analysis would help merchants and market operators indevisingan appropriate strategy to successfully manage traditional markets. Research design, data, methodology - The perceived value model of traditional markets includes functional value (price), functional value (quality), emotional value, and social value. In this study, the perceived value of traditional markets is considered as an independent variable, while customer satisfaction and repurchase intention are shown as the dependent variables, where customer satisfaction is also considered as the mediating variable. The study aims to ascertain the extent of influence of the perceived value of traditional markets on customer satisfaction and repurchase intention. We use regression analysis to verify the effects. The measurement items were already deemed as reliable and valid in the previous study, but for this purpose, we made some modifications. We distributed questionnaires to 300 consumers on a national scale, and finally used 241 consumer responses among these as a sample. We analyzed the data using the SPSS 21.0 statistical program. Results - We obtained the following results. First, the order of perceived value dimensions of traditional markets that positively impact customer satisfaction is functional value (price), social value, emotional value, and functional value (quality). Second, the perceived value sometimes directly affects repurchase intention; its effect is typically strong with customer satisfaction as a parameter. The order of perceived value dimensions that positively impact repurchase intention is social value, functional value (price), emotional value, and functional value (quality). Third, the perceived value significantly influences repurchase intention, with customer satisfaction as the mediating variable. Conclusions - We should recognize the importance of perceived value in retail distribution markets, such as traditional markets. Moreover, we need to develop strategies to improve the perceived value. The practical implications of the study are as follows. First, with regards to functional value (quality; price) dimensions, we should have an appropriate assortment of high quality products that are reasonably priced. In addition, customers are satisfied with the friendly service, discounts, and other benefits provided by the merchants. Second, in terms of emotional value dimension, we need to develop differentiated events that provide fun and emotional experience to the customers. Third, in the context of social values dimension, we should strive to positively influence society to enhance social image through activities such as social services and contribution to community development. On the basis of these results, we present the implications, limitations, and future directions for the research. One of the policy implications of the study is that merchants of traditional markets must actively select customers and develop customer value. However, this study is limited in the fact that the population used for data collection is not fully representative, as the survey only covered some specific areas. Moreover, future studies could also benefit with additional research using moderating variables.

• The Journal of Industrial Distribution & Business
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• v.9 no.8
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• pp.41-50
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• 2018

Purpose - As an important participant in the financial markets, the commercial bank will be impacted by the interest rate marketization. Owing to the special condition of China, this paper tries to explore the impact of operating mechanisms between interest rate marketization and the profitability of the commercial Bank. Research design, data and methodology - This paper applies time series data from 2005 to 2016. Due to the short period of time series, autocorrelation often occurs. Therefore, the fully modified least squares(FMOLS) will be used to conduct an empirical analysis. The reason is that it can move off the autocorrelation between variables and disturbance term. And FMOLS also can make estimated cointegrating parameters closed to normal distribution. More importantly, in order to avoid spurious regressions, the Augmented Dickey-Fuller Test will be used to verify the stationarity of all variables. The total return of asset is treated as the profitability of commercial bank. The net interest spread is treated as a measurement of interest rate marketization. Both are regarded as dependent variables. The non-interest income or gross revenues and impaired loans or gross loans are treated as independent variables. The sixteen representative listed commercial banks are divided into three categories (state-owned, share-holding and city-owned) to conduct an estimation. Results - Via empirical analysis, the findings show that the net interest spread has a positive effect on the profitability of the commercial bank. More specifically, 1% increase in the net interest spread will lead 0.157% increase in the profitability of state-owned commercial bank, 0.269% increase in the profitability of share-holding commercial bank and 0.263% increase in the profitability of city-owned commercial bank. If regarding the sixteen listed commercial city as a whole, 1% increase in the net interest spread will lead 0.267% increase in the profitability of the commercial bank. Conclusions - As the interest rate marketization, the importance of interest rate on the profitability of commercial bank has become more and more significant. The empirical evidences also prove that the net interest spread can bring about the change of the commercial bank's profitability. Therefore, policy-makers of commercial banks should fully understand the operating mechanism between them.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.221-228
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• 2017

With the recent development of IoT technology, medical services using IoT technology are increasing in many medical institutions providing health care services. However, as the number of IoT sensors attached to the user body increases, the healthcare information transmitted to the server becomes complicated, thereby increasing the time required for analyzing the user's healthcare information in the server. In this paper, we propose a deep learning based health care information management method to collect and process healthcare information in a server for a large amount of healthcare information delivered through a user - attached IoT device. The proposed scheme constructs a subnet according to the attribute value by assigning an attribute value to the healthcare information transmitted to the server, and extracts the association information between the subnets as a seed and groups them into a hierarchical structure. The server extracts optimized information that can improve the observation speed and accuracy of user's treatment and prescription by using deep running of grouped healthcare information. As a result of the performance evaluation, the proposed method shows that the processing speed of the medical service operated in the healthcare service model is improved by 14.1% on average and the server overhead is 6.7% lower than the conventional technique. The accuracy of healthcare information extraction was 10.1% higher than the conventional method.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.27-36
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• 2017

SNS has been emerged as an effective educational tool in college and many studies on various teaching models and methodologies have been made in order to utilize SNS in education. The purpose of this paper is to empirically investigate the effect of affecting factors of SNS on learner's attitude, intention to re-use and performance in converging college educational environment. Self-efficacy on media usage, educational expectancy, subjective norm, habit, and enjoyment were identified as affecting factors based on prior researches. An empirical analysis was attempted by survey targeting college students. The results of structural equation model using Smart PLS shows that educational expectancy, subjective norm, and enjoyment are significantly related to the learner's attitude on use of SNS in college education, but Self-efficacy on media usage and habit are not. Learner's attitude on SNS in college education was found to be significantly related to the intention to continuous use and performance. This study implicates that using SNS in university class makes learner's attitude positively and finally lead to good performance. The analysis results can provide a guideline of effective strategy for SNS utilization in college education.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.37-48
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• 2017

Recently, the importance of software education is growing because computational thinking of software education is recognized as a key means of future economic development. Also human resources who will lead the 4th industrial revolution need convergence and creativity, computational thinking based on critical thinking, communication, and collaborative learning is known to be effective in creativity education. Software education is also a time needed to reflect social issues such as collaboration with developers sharing interests and open source development methods. Github is a leading social coding site that facilitates collaborative work among developers and supports community activities in open software development. In this study, we apply operational cases of basic learning of social coding sites, learning for storage server with sources and outputs of lectures, and open collaborative learning by using Github. And we propose educational model consisted of four stages: Introduction to Github, Using Repository, Applying Social Coding, Making personal portfolio and Assessment. The proposal of this paper is very effective for software education by attracting interest and leading to pride in the student.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.79-88
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• 2017

The purpose of this study was to identify the difference of creativity according to the type of brain dominance for deveoping pre-service early childhood teachers's creativity teacher education program. The subjects of this study were 210 pre-service early childhood teachers. The tests were conducted by using the Herrmann' BDI and TTCT: verbal. The study have applied Pearson product-moment correlation to find out relation between the type of brain dominance and creativity, and used multi-variate analysis to find out the difference of creativity according to the type of brain dominance. The results of the study are as follow; first, the upper left brain, lower left limb, and right brains had no relation to fluency, flexibility, originality and overall linguistic creativity. The lower right limb showed a positive correlation with fluency, flexibility, originality, and overall linguistic creativity. Second, the lower left, upper right lower, and lower right limb dominant teachers showed higher fluency, flexibility, originality and overall linguistic creativity than upper left neural dominant teachers. The result of analyzing the language creativity according to the type of brain dominance of the pre-service early childhood teachers will be used as a suggestion to develop the brain-based creativity teacher education program.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.455-462
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• 2020

The purpose of this study was to investigate the effect of behavior type of dance art instructors in elementary dance education on class satisfaction focused on mediations of flow and perceived competence between commanding and positive reward types. A total of 453 questionnaires were analyzed for this study. For the analysis of the data, SPSS 18.0 version was used and double mediation model operating in serial, proposed by Hayes and a bootstrapping method were used. First, instructor's commanding type and positive reward type were statistically positive effect on class satisfaction. Second, the indirect effect of instructor's commanding type, and positive reward type on class satisfaction through the flow was statistically positive significant. Third, the indirect effect of instructor's commanding type, and reward type on class satisfaction through the perceived competence was statistically not significant. Lastly, the indirect effect of instructor's commanding type, and positive reward type on class satisfaction through the flow and perceived competence was statistically positive significant.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.223-233
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• 2020

In academia, lots of startup-related research are conducted to improve startup performance. Most of them are concerned with entrepreneur characteristics, capabilities, and entrepreneurship. In particular, self-efficacy of enterpreneur is emphasized to improve startup performance in addition to entrepreneurial capabilities. Thus, the main research objectives of this study are as follows. First, the impact of entrepreneur characteristics is investigated on self-efficacy and startup performance. Second, the moderating effects of business experience prior to startup and entrepreneurship education are analyzed between entrepreneur characteristics and self-efficacy. Finally, managerial strategies are suggested to maximize startup performance via self-efficacy. 274 samples were collected from independent startups. The proposed research model and 17 hypotheses were verified with structural equation modeling techenique. The empirical findings are as follows. First, psychological characteristics such as achievement desire and risk tolerance positively influenced on self-efficacy. Second, business experience prior to startup showed significant moderating effects on self-efficacy with technological and marketing capabilities. and entrepreneurship education. Third, entrepreneurship education showed significant moderating effects on self-efficacy with achievement desire, risk tolerance, technological and marketing capabilities.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.235-247
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• 2020

The Mutual Financial Cooperatives(MFCs) in Korea need to make efforts to increase efficiency and productivity in order to secure stable and sustainable growth and competitiveness. Therefore, this study analyzes the efficiency and productivity of MFCs from 2012 to 2018 and suggests some implications. The methodology employed is a Dynamic-Network Slacks-Based Measure(DNSBM) Model. The findings from an empirical study include that first, on average efficiency scores of the institutions, NH(0.225) showed the highest overall efficiency, and followed by SH(0.128) and MG(0.126). After 2015, most of the MFCs' efficiency scores had risen until to 2018. Second, in divisional analysis, the inefficiency in creating the high profitability-stage had been greater than establishing-funds-stage. Third, in projection analysis of Division 2, the inefficiency of the output factors such as interest income and operating income was severe. Fourth, the results from the Malmquist Productivity Index analysis of Division 1 of the fist-stage illustrate that all three MFCs showed minus catch-up effects. Also, a soundness from reducing bad loans and expansion of loans in combination with generating various ways of creating profits besides the interest income is urgently needed for Korean MFCs.