Purpose The purpose of this study is to attempt to incorporate power theory to evaluate information capability of SCM adopters. Therefore, this study focuses on the relationship of information sharing, partnership quality, and information capacity according to the power intensity of the variables of SCM. and CSV value creation. Design/methodology/approach The questionnaire of SCM builder was conducted and 302 samples were analyzed. Based on the theoretical background of power and information capacity, we set up a structural equation model. Hypothesis testing and statistical analysis were done through AMOS and SPSS. Findings First, it shows that the compensation power among the constrained power has a positive effect on the partnership quality, and the legitimacy power has the positive influence only on the information sharing. Compulsive power, compensation, and legitimacy, which are generally restrictive powers, may reduce the quality of information sharing and partnership, but the results of this study are rather higher. Second, both non-binding power expertise and criterion have a positive effect on information sharing and partnership quality. Third, information sharing has a positive effect on partnership quality. Supporting a number of research results, it is well reflected in SCM attributes where interdependence is important. Fourth, information sharing and partnership quality have a positive effect on information capacity. Information literacy has become an essential element in modern management. Fifth, the enhancement of CSV value creation plays a role of a controlling variable to further strengthen information sharing through non - binding power attribute, expertise and conformity. In addition, the strengthening of CSV value creation has been shown to play a role as a controlling variable to further strengthen the quality of partnership through the non-binding power attribution, but expertise has been rejected.

Purpose The purpose of this study focused on adopting production systems in cognitive psychology to improve the extraction process of persuasive design characteristics for healthcare-related mobile applications. Design/Methodology/Approach A research approach with four stages was developed. We developed and updated the evaluation guideline for persuasive design characteristics (PDC). We tried to summarize and analyze each of 28 PDC and prepared related production rules. Verification process for both guideline approach and production system approach were performed. Top one hundred apps from both medical category and health and Fitness category were selected and evaluated by two approaches. By comparing the results of the two approaches, we tried to explain the improvement and reliability of introducing the production system in the PDC extraction process. Findings Based on the updated guideline for healthcare-related mobile applications, a production system in cognitive psychology was developed. By comparing the PDC extraction results by two approaches, production system showed a better improvement for evaluation precision and efficiency for decision-making process. The findings of this study can be used for researchers and app developers to apply production system to analyze, evaluate, and develop better healthcare-related apps with persuasion.

Purpose Since the Bitcoin, which was the first virtual currency, was made at 2009, almost 1,000 virtual currencies appeared onstage in the world. Even though virtual currencies have the function of money as a medium of exchange or contract, any of those has not yet entered the commercialization stage. Instead, some of the virtual currencies show the nature of investment assets. In the case of virtual money investment, users tend to use all the information of the world because information transfer is very easy and capital movement is almost free between different countries. In addition, as the transaction sizes of virtual currencies increase, a virtual currency price is no longer independent and is likely to be affected by the prices of other virtual currencies. Therefore, it is necessary to understand the influence among virtual currency markets, which helps successful implementation of investment strategies. Design/methodology/approach This study focuses on the investment product function of virtual money and conducts the analysis using the time series model used in the financial and economic areas. In this paper, we try to analyze the return and volatility transfer effect of virtual money markets through GJR-GARCH model. Findings This study is expected to find out whether we can make market forecasts through reflecting changes in other markets. In addition, we can reduce the trial and error of user decision making by using the information on the yield and volatility transition effect derived from the research results, and it is expected to reduce the opportunity cost of users.

Purpose The purpose of this study is to build a machine learning-based customer classification model to promote customer expansion effect of the free sample promotion. Specifically, the proposed model classifies potential target customers who are expected to purchase the products included in the free sample promotion after receiving the free samples. Design/methodology/approach This study proposes to build a customer classification model for determining customers suitable for providing free samples by using various machine learning techniques such as logistic regression, multiple discriminant analysis, case-based reasoning, decision tree, artificial neural network, and support vector machine. To validate the usefulness of the proposed model, we apply it to a real-world free sample-based target marketing case of a Korean major cosmetic retail company. Findings Experimental results show that a machine learning-based customer classification model presents satisfactory accuracy ranging from 70% to 75%. In particular, support vector machine is found to be the most effective machine learning technique for free sample-based target marketing model. Our study sheds a light on customer relationship management strategies using free sample promotions.

Purpose The purpose of this study is to investigate the reason why smartphone users do not use mobile banking based on Status Quo Bias and to find out whether there is a difference between passive resistance and active resistance. Design/methodology/approach This study made a design of the research model based on Status Quo Bias. SPSS 23.0 and SmartPLS 2.0 were used for the analysis. Multiple group analysis was performed to identify differences between groups. Findings According to the empirical analysis result, this study confirmed that inertia and perceived risk affected smartphone users who do not use mobile banking. According to the type of resistance, the active resistance group(64.2%) was more than the passive resistance group(35.8%), and it was confirmed that there was a difference in the reasons for not using mobile banking between passive and active resistance group. That is, the greatest difference between passive and active resistance groups was found to be perceived risk, which is an assessment of risk.

Purpose As web 2.0 has taken root in the Internet environment, people began to create specific values to produce and disseminate contents on their own. In order to emphasize the personalized media attributes, the concept of self media was derived. In this paradigm shift, self media has emerged that succeeded in commercializing themselves in social media. Taking advantage of the influence of self media will have a tremendous positive impact on management activities such as marketing strategy, brand promotion, customer retention, and profit growth. This study examines the factors affecting the loyalty of self media in Korea and China because the studies in the area of selfmedia is not enough. Design/methodology/approach This study analyzed what factors influenced the loyalty of self-media in terms of Korea-China comparison. The research model was proposed on the basis of previous research papers. Content value, interactivity, ease of access, self-congruity, sympathy, and reputation were used as independent variables. Trust and satisfaction are used as mediating variables, nationality as moderator variables, and loyalty to self-media as a dependent variable. Results As a result, it was found that all independent variables directly influence the loyalty of self-media except interactivity, and interactivity indirectly influence loyalty through trust and satisfaction. There was a moderating effect of nationality between satisfaction and loyalty, but was not a moderating effect between trust and loyalty.

Purpose The purpose of this study is to explore the optimal trading frequency which is useful for stock price prediction by using deep learning for charting image data. We also want to identify the appropriate time for accurate forecasting of stock price when performing pattern analysis. Design/methodology/approach In order to find the optimal trading frequency patterns and forecast timings, this study is performed as follows. First, stock price data is collected using OpenAPI provided by Daishin Securities, and candle chart images are created by data frequency and forecasting time. Second, the patterns are generated by the charting images and the learning is performed using the CNN. Finally, we find the optimal trading frequency patterns and forecasting timings. Findings According to the experiment results, this study confirmed that when the 10 minute frequency data is judged to be a decline pattern at previous 1 tick, the accuracy of predicting the market frequency pattern at which the market decreasing is 76%, which is determined by the optimal frequency pattern. In addition, we confirmed that forecasting of the sales frequency pattern at previous 1 tick shows higher accuracy than previous 2 tick and 3 tick.

Purpose The purpose of this study is to verify mobile game users' perceived utilities about real (price) and virtual (Ruby) currencies, which are the major factors of in-app purchase (IAP) widely used as a business model in a mobile game industry. Design/methodology/approach By using sales volume and sales frequency data for products sold in an 'S' mobile game from the 'D' mobile game company, we conducted a conjoint analysis according to the procedure recommended by Bicheno (2009). Findings The results of this study indicate that (1) mobile game users have greater utility for a virtual currency (Ruby) than for a real currency (price), (2) mobile game users' utility for virtual (Ruby) and real (price) currencies varies depending on sales volume and sales frequency, as well as (3) mobile markets (e.g., Google Play Store vs. Apple App Store), and (4) mobile game users have greater utility for a virtual currency (Ruby) which can be used readily than later.

Purpose One of the success factors of information system projects is to reduce requirements uncertainty through user engagement. So, in many recent IS development environment, a business analyst or business analysts are positioned between users and developers to drive user engagement to reduce requirements uncertainty. But, there are few studies that research about the competencies of business analysts for training and staffing. So, this study analyzed which underlying and practical competencies that positively influence user engagement are required. Design/methodology/approach The level of underlying and practical competencies required for business analysts and the level of user enagement in the IS development environment are collected through the survey. And, the causal relationship between the construct concepts which are underlying competencies, practical competencies and the user participation is analzed through the PLS analysis. Findings The results of this study show that the practial competencies of business analysts that positively have a significant impact on user engaement were studied as requirements development skills. Additionally, the underlying competencies of business analysts which have a significant impact on requirements development skills were examined as business knowledge and interaction skills rather than technical knowledge and communication skills.

Purpose Wearable device is considered as one of the methods powering the growth of the next generation. However, ICT's innovation resistance has been a contributing factor in slowing down this spread of wearable devices. Taking into consideration the lack of empirical research to this phenomenon, this study served to examine the effect of determinants of wearable devices to usage with the perspectives of behavioral economics. Design/methodology/approach: For research purposes, this study developed research hypotheses in order to empirically examine the factors that might have a significant effect on the usage of the wearable device. The empirical research was based on a survey which carried through 500 participants. Research results were evaluated via SPSS Statistics 21.0 and AMOS 19 statistical package program. Findings: Results showed that perceived costs and benefits had a significant effect on coupling. It means that perceived benefits lowering coupling and perceived costs increasing coupling. Perceived costs and benefits also had a significant effect on innovation resistance. Finally, perceived costs and benefits had a significant effect on the consumers' usage of wearable devices.