• Journal of Digital Convergence
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• v.19 no.8
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• pp.133-139
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• 2021

This research emphasized that the importance of Social Support and verify the effects of Social Support on Subjective Well-Being through Achievement Motivation. In addition, the mediating role of Achievement Motivation was clearly identified as a key variable that can lead to Subjective Well-Being. To achieve this purpose of research, an empirical analysis was conducted on Chinese students attending domestic universities. Through empirical analysis, it was found that Social Support improve Motivated Success and Motivated Avoid Failure. Furthermore, Motivated Success and Motivated Avoid Failure were found to increase the level of Subjective Well-Being. Furthermore, in the relationship between social support and subjective well-being, verification of individual mediating effects and multi-parameter effects of Motivated Success and Motivated Avoid Failure showed that only the motivation for success has a partial mediating effect. Finally, practical implications from this study were presented and future research directions were discussed.

• Asia Marketing Journal
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• v.21 no.4
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• pp.59-76
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• 2020

Though crowdfunding has emerged as a cost-effective means to market innovative products and a channel for financial resource acquisition, our understanding about what makes a successful crowdfunding is still limited. This study is motivated by the presence of the inconsistency that both entrepreneurs and investors pay more attention to capabilities required for developing prototype products rather than capabilities needed to deliver the promised products in crowdfunding. By drawing insights from studies about liability of newness and legitimacy in institutional theory, this study argues that startups can overcome the liability of newness, earn investor trust, and successfully complete crowdfunding campaigns by effectively presenting visible and invisible capabilities. This study presents a set of testable propositions predicting the likelihood of crowdfunding success and explains the theoretical and practical value of the proposed conceptualization of startup capabilities.

• Safety and Health at Work
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• v.7 no.3
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• pp.185-193
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• 2016

Background: Management and workers in small and medium-sized enterprises (SMEs) often find it hard to comprehend the requirements related to controlling risks due to exposure to substances. An intervention study was set up in order to support 45 SMEs in improving the management of the risks of occupational exposure to chemicals, and in using the control banding tool and exposure model Stoffenmanager in this process. Methods: A 2-year intervention study was carried out, in which a mix of individual and collective training and support was offered, and baseline and effect measurements were carried out by means of structured interviews, in order to measure progress made. A seven-phase implementation evolutionary ladder was used for this purpose. Success and failure factors were identified by means of company visits and structured interviews. Results: Most companies clearly moved upwards on the implementation evolutionary ladder; 76% of the companies by at least one phase, and 62% by at least two phases. Success and failure factors were described. Conclusion: Active training and coaching helped the participating companies to improve their chemical risk management, and to avoid making mistakes when using and applying Stoffenmanager. The use of validated tools embedded in a community platform appears to support companies to organize and structure their chemical risk management in a business-wise manner, but much depends upon motivated occupational health and safety (OHS) professionals, management support, and willingness to invest time and means.

• Journal of Information Technology Services
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• v.19 no.2
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• pp.69-82
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• 2020

In the growth of IT industry, interest in wearable device has been globally rising along with the evolution of technology. A Smartwatch is expected to be at the center of wearable device industry in the future. However, there are some concerns that most of its actual sales are caused by gifts or bundling. Motivated by these issues, this study propounds the ideas that to enter the mainstream market, the empirical research is required for actual consumers who continue to use a smartwatch. The purpose of this study is to identify key factors affecting user satisfaction and antecedents affecting continuance intention to use from consumer perspectives. Further, assuming consumers' perceptions will be different according to how they acquired smartwatch, this study classified the group as direct buyers and acquired users. To achieve the purpose of the research, this study analyzes the usage of smartwatch by integrating the IS Success Model and IS Continuance and Habit Theory. We implemented the survey of 338 smartwatch users, and the research findings indicate that information quality and system quality have significant effects on satisfaction, and consequently satisfaction and habit positively affect the continuance intention to use. Additionally, it is found that there was a significant difference in the relationship between satisfaction and habit in the group divided by acquisition type. Based on these findings, this study provides theoretical and practical implications.

• Communications for Statistical Applications and Methods
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• v.26 no.3
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• pp.261-272
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• 2019

In this paper, we propose a procedure to build a prediction interval of the sum of dependent binary random variables over a graph to account for the dependence among binary variables. Our main interest is to find a prediction interval of the weighted sum of dependent binary random variables indexed by a graph. This problem is motivated by the prediction problem of various elections including Korean National Assembly and US presidential election. Traditional and popular approaches to construct the prediction interval of the seats won by major parties are normal approximation by the CLT and Monte Carlo method by generating many independent Bernoulli random variables assuming that those binary random variables are independent and the success probabilities are known constants. However, in practice, the survey results (also the exit polls) on the election are random and hardly independent to each other. They are more often spatially correlated random variables. To take this into account, we suggest a spatial auto-regressive (AR) model for the surveyed success probabilities, and propose a residual based bootstrap procedure to construct the prediction interval of the sum of the binary outcomes. Finally, we apply the procedure to building the prediction intervals of the number of legislative seats won by each party from the exit poll data in the $19^{th}$ and $20^{th}$ Korea National Assembly elections.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.4
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• pp.171-180
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• 2014

Screen golf may be said as one of the most successful digital contents business along with the game industry. The success of the screen golf is because the high tech virtual reality technology is applied to the business in a way that it can meet the five senses of human and that the user can be absorbed into it. In addition, the interaction and playfulness in the screen golf helps the users to get more involved in the game, thus enhancing its value as one of the entertainments. Especially, this study focuses on its interaction and playfulness, which helped the screen golf succeed as a business because they help people to get more absorbed in the game through the communication and fun. From this point of view, the screen golf can be considered to have the best characteristics by which the users can be motivated to use the screen golf. Now along with the public success of the screen golf, the screen golf is recognized as the core field of digital contents. So, the screen golf needs the approaches and researches from multiple points of views, including culture and arts.

• Journal of the Korean School Mathematics Society
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• v.2 no.1
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• pp.15-30
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• 1999

For the purpose of turning learners' locus of control into internal-controllable variables, counseling materials were developed, and attribution counseling was given. The counseling effects were practically confirmed by way of teaching and evaluation in the actual classes, and furthermore the efforts to provide learners with successful experiences in learning were repeatedly made. As a result, the conclusions are as follows: 1. The procedure of Individual counseling for learning attribution based on individual standard grades and data of the variable order of merit apparently shows learners that if learners are to try their best in learning, they will surely go far in terms of learning in the near future. 2. The procedure of Individual counseling for teaming attribution based on achievement distribution in individual behavior-oriented fields suggests to learners that how to learn is as important as how much effort they make. Surely enough, learners are required to make more effective and efficient efforts, considering their own learning abilities. 3. With the above 1, 2 procedures involved, learners have attributed locus of causality in achievement to their internal-controllable causes. 4. With preparatory assignments according to learner's abilities provided, even slower learners came to be assured that their constant efforts could give rise to success in learning achievement. 5. Above all, it was confirmed that the learners' struggling attitude might well have a significant correlation with achievement success. The learners who are willing to attribute locus of causality in achievement to their internal-controllable causes or strenuous efforts and intrinsic motivation tend to be convinced that they can address themselves to whatever faces them, so they can set up specific learning goals fit for their abilities. Accordingly, they will bit by bit acquire successful experiences (often called 'Aha' experiences) and in turn, feeling the senses of self-efficacy and self-esteem enough to push their efforts even further, they can grow to form a positive self-concept. With one successful experience after another fed back into learners, they are gradually motivated to bring the oncoming achievement expectation to a higher level. To conclude, it is necessary that instruction leading to internal-controllable attribution should be provided, inducing learners to recognize success and failure in learning achievement as a result of their strenuous efforts.

• Honam Mathematical Journal
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• v.33 no.4
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• pp.441-452
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• 2011

The enormous success of the theory of hypergeometric series in a single variable has stimulated the development of a corresponding theory in two and more variables. A wide variety of investigations in the theory of several variable hypergeometric functions have been essentially motivated by the fact that solutions of many applied problems involving partial differential equations are obtainable with the help of such hypergeometric functions. Here, in this trend, we aim at presenting further decomposition formulas for Saran function $F_E$, which are used to give some integral representations of the function $F_E$. We also present a system of partial differential equations for the Saran function $F_E$.

• Asian Journal of Innovation and Policy
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• v.4 no.3
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• pp.271-287
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• 2015

Universities are now operating in a post-globalized world. They need to be locally engaged while globally visible for continued success. Specific strategies include 1) unbundling education using fractal modules approach to facilitate more flexible and customized learning expectations of net generation of students; 2) open-source software and hardware platforms to facilitate collaborations around a short or multi-year, multidisciplinary brain stretching projects motivated by the real world challenges; 3) new courses on innovation and entrepreneurship to nurture experience seeking and enterprising mindset of students; 4) cross-border university- public- private partnerships for developing solutions specific to the local needs and can be scalable for the world; and 5) encouraging faculty members with glocal mindset.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.05a
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• pp.351-356
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• 2007

Factory location selection is very important to the success of operation of the whole supply chain, but few effective solutions exist to deliver a good result, motivated by this, this paper tries to introduce a new factory location selection methodology by employing the artificial neural networks technology. First, we reviewed previous research related to factory location selection problems, and then developed a (neural network-based factory selection model) NNFSM which adopted back-propagation neural network theory, next, we developed computer program using C++ to demonstrate our proposed model. then we did case study by choosing a Korean steelmaking company P to show how our proposed model works,. Finnaly, we concluded by highlighting the key contributions of this paper and pointing out the limitations and future research directions of this paper. Compared to other traditional factory location selection methods, our proposed model is time-saving; more efficient.and can produce a much better result.