• Journal of KIISE:Software and Applications
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• v.37 no.12
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• pp.909-918
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• 2010

To analyze the national competitiveness of Korea leads to the conclusion that global high-tech enterprises have been playing leading and pulling roles in making Korea in line with advanced countries even though the country is lacking in various natural resources. The characteristics of these companies above are as follows; Firstly, these enterprises continue to accumulate core technologies and know-how with highly competent human resources and well-organized management. Secondly, they are well structured and equipped with information technology infrastructures which are, for example, ERP, SCM, CRM, and PLM. Among them PLM is considered to be the principal core information technology infra in manufacturing industry. The urgent task of manufacturing industry recently is to develop new products to accept various needs of consumers, and to launch the products in time to market, which requires the manufactures to be equipped with product development infra and system to upgrade product fulfillment and mass production system in a short period. The introduction of PLM System is a solution of core strategy as a manufacturer for collaboration, global development, reengineering of manufacturing system, the innovation and efficiency of manufacturing process, and product quality improvement. The purpose of this study is to analyze the success factors of introducing PLM System and its practicing effectiveness. And the results of empirical study are as follows; (1) Technical success factors positively impact system quality and user satisfaction, (2) Organizational success factors positively impact system quality, but does not impact user satisfaction, (3) Environmental success factors positively impact system quality and user satisfaction, (4) System quality positively impacts user satisfaction, (5) User satisfaction positively impacts the effectiveness of implementing PLM systems, but system quality does not impact it.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.167-194
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• 2019

This research starts from the four basic concepts of incentive incompatibility, limited information, myopia and decision variable which are confronted when making decisions in keyword bidding. In order to make these concept concrete, four framework approaches are designed as follows; Strategic approach for the incentive incompatibility, Statistical approach for the limited information, Alternative optimization for myopia, and New model approach for decision variable. The purpose of this research is to propose the statistical optimization model in constructing the portfolio of Sponsored Search Advertising (SSA) in the Sponsor's perspective through empirical tests which can be used in portfolio decision making. Previous research up to date formulates the CTR estimation model using CPC, Rank, Impression, CVR, etc., individually or collectively as the independent variables. However, many of the variables are not controllable in keyword bidding. Only CPC and Rank can be used as decision variables in the bidding system. Classical SSA model is designed on the basic assumption that the CPC is the decision variable and CTR is the response variable. However, this classical model has so many huddles in the estimation of CTR. The main problem is the uncertainty between CPC and Rank. In keyword bid, CPC is continuously fluctuating even at the same Rank. This uncertainty usually raises questions about the credibility of CTR, along with the practical management problems. Sponsors make decisions in keyword bids under the limited information, and the strategic portfolio approach based on statistical models is necessary. In order to solve the problem in Classical SSA model, the New SSA model frame is designed on the basic assumption that Rank is the decision variable. Rank is proposed as the best decision variable in predicting the CTR in many papers. Further, most of the search engine platforms provide the options and algorithms to make it possible to bid with Rank. Sponsors can participate in the keyword bidding with Rank. Therefore, this paper tries to test the validity of this new SSA model and the applicability to construct the optimal portfolio in keyword bidding. Research process is as follows; In order to perform the optimization analysis in constructing the keyword portfolio under the New SSA model, this study proposes the criteria for categorizing the keywords, selects the representing keywords for each category, shows the non-linearity relationship, screens the scenarios for CTR and CPC estimation, selects the best fit model through Goodness-of-Fit (GOF) test, formulates the optimization models, confirms the Spillover effects, and suggests the modified optimization model reflecting Spillover and some strategic recommendations. Tests of Optimization models using these CTR/CPC estimation models are empirically performed with the objective functions of (1) maximizing CTR (CTR optimization model) and of (2) maximizing expected profit reflecting CVR (namely, CVR optimization model). Both of the CTR and CVR optimization test result show that the suggested SSA model confirms the significant improvements and this model is valid in constructing the keyword portfolio using the CTR/CPC estimation models suggested in this study. However, one critical problem is found in the CVR optimization model. Important keywords are excluded from the keyword portfolio due to the myopia of the immediate low profit at present. In order to solve this problem, Markov Chain analysis is carried out and the concept of Core Transit Keyword (CTK) and Expected Opportunity Profit (EOP) are introduced. The Revised CVR Optimization model is proposed and is tested and shows validity in constructing the portfolio. Strategic guidelines and insights are as follows; Brand keywords are usually dominant in almost every aspects of CTR, CVR, the expected profit, etc. Now, it is found that the Generic keywords are the CTK and have the spillover potentials which might increase consumers awareness and lead them to Brand keyword. That's why the Generic keyword should be focused in the keyword bidding. The contribution of the thesis is to propose the novel SSA model based on Rank as decision variable, to propose to manage the keyword portfolio by categories according to the characteristics of keywords, to propose the statistical modelling and managing based on the Rank in constructing the keyword portfolio, and to perform empirical tests and propose a new strategic guidelines to focus on the CTK and to propose the modified CVR optimization objective function reflecting the spillover effect in stead of the previous expected profit models.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.5
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• pp.25-42
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• 2019

The purpose of this study is to analyze the effect of internal competence of small business on the competitive advantage and start-up intention. Through this, which key competence of small business can be proposed for market growth against of large companies that have a great capital power. Also, implications for development direction can be suggested. For this purpose, technology capability, financing capability, marketing capability, and product/service differentiation capability factors were set as independent variables, as well as competitive advantage as a mediating factor, and startup intention to be franchiser as a dependent variable. For the analysis, a structured questionnaires survey was conducted to 276 domestic small business in capital area. The main results are as follows. First, in relation to the internal competency and the competitive advantage of small businesses, it was found that technological capabilities, financing capabilities and product (service) differentiation have a positive effect on competitive advantage. Second, the relationship between the internal capacity of a small entity and startup intention to commercialize a franchiser business indicates that its financing capacity and marketing capabilities have a positive effect on startup intention to commercialize the business, and that competitive advantage has a significant effect on startup intention to commercialize the franchise. Third, competitive advantage was found to mediate the relationship between internal competency and startup intention. Finally, it was shown that the internal capacity of a small business has a regulating effect in relation to its financing capacity, marketing capabilities and startup intention to commercialize the franchise, and that it also had a regulating effect in relation to its relationship with its competitive advantage and franchise suitability. Based on the above results, if small business can take competitive advantage in the market, they also consider startup intention to commercialize a franchiser, in addition, it is expected that one suggestion can be made from an internal capacity perspective required more emphasis on operations and management as an alternative to expanding small businesses' business, including market access measures that can be linked to internal capacity factors of small businesses.

• Journal of Korea Port Economic Association
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• v.30 no.4
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• pp.69-89
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• 2014

The business performance of port industry is steadily getting worse due to international environmental regulation. The port industry should be prepared according to ambient condition change. IMO(International Maritime Organization) is tightening up environmental regulation of vessel and maritime industry field. ECA(Emission Control Area), starting with the Baltic, has initialized and has been expanded. Korea must strengthen the control of vessel in accordance with IMO's restriction, if Korea is designated as emission control area. These situations cause the expansion of LNG-fuelled ships. Add to the larger trend of ships, Korean government should be done a preemptive action against LNG bunkering industry. This study proposes the concept of floating offshore LNG bunkering system and is conducted its economic feasibility evaluation based on empirical analysis. We examine the theoretical foundation and basic information via "A Planning Study on the Engineering Development of Floating Offshore LNG Bunkering Terminal" in 2013 and we evaluate the business potential by using the report above mentioned. The results of this study are as follows. The values of B/C analysis are between 0.679 and 2.516 depending on market share and R&D contributiveness. In case of 10.9%(market share), if market share are 50% and 60%, the value of B/C analysis are 0.697 and 0.837 respectively. Except in two cases, all remaining values are over 1.0. Moreover, the research is conducted sensitivity analysis to remove the project uncertainty. In order to maintain economical validity, a project manager have to establish business strategies which are not to cause increase of expense and sustain market share and R&D contributiveness in the scenario with normal levels.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.149-171
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• 2020

The period at university is to make decision about getting an actual job. As our society develops rapidly and highly, jobs are diversified, subdivided, and specialized, and students' job preparation period is also getting longer and longer. This study analyzed the log data of college students to see how the various activities that college students experience inside and outside of school might have influences on employment. For this experiment, students' various activities were systematically classified, recorded as an activity data and were divided into six core competencies (Job reinforcement competency, Leadership & teamwork competency, Globalization competency, Organizational commitment competency, Job exploration competency, and Autonomous implementation competency). The effect of the six competency levels on the employment status (employed group, unemployed group) was analyzed. As a result of the analysis, it was confirmed that the difference in level between the employed group and the unemployed group was significant for all of the six competencies, so it was possible to infer that the activities at the school are significant for employment. Next, in order to analyze the impact of the six competencies on the qualitative performance of employment, we had ANOVA analysis after dividing the each competency level into 2 groups (low and high group), and creating 6 groups by the range of first annual salary. Students with high levels of globalization capability, job search capability, and autonomous implementation capability were also found to belong to a higher annual salary group. The theoretical contributions of this study are as follows. First, it connects the competencies that can be extracted from the school experience with the competencies in the Human Resource Management field and adds job search competencies and autonomous implementation competencies which are required for university students to have their own successful career & life. Second, we have conducted this analysis with the competency data measured form actual activity and result data collected from the interview and research. Third, it analyzed not only quantitative performance (employment rate) but also qualitative performance (annual salary level). The practical use of this study is as follows. First, it can be a guide when establishing career development plans for college students. It is necessary to prepare for a job that can express one's strengths based on an analysis of the world of work and job, rather than having a no-strategy, unbalanced, or accumulating excessive specifications competition. Second, the person in charge of experience design for college students, at an organizations such as schools, businesses, local governments, and governments, can refer to the six competencies suggested in this study to for the user-useful experiences design that may motivate more participation. By doing so, one event may bring mutual benefits for both event designers and students. Third, in the era of digital transformation, the government's policy manager who envisions the balanced development of the country can make a policy in the direction of achieving the curiosity and energy of college students together with the balanced development of the country. A lot of manpower is required to start up novel platform services that have not existed before or to digitize existing analog products, services and corporate culture. The activities of current digital-generation-college-students are not only catalysts in all industries, but also for very benefit and necessary for college students by themselves for their own successful career development.

• Journal of dental hygiene science
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• v.14 no.1
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• pp.43-50
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• 2014

The purpose of this study was to examine the influence of internal marketing activities on motivating dental hygienists in dental hospital in an effort to be of use for setting strategies geared toward boosting the productivity of dental hygienists. The findings of the study were as follows: Concerning internal marketing activities by general characteristics, the dental hygienists who received 4-year college or higher education received more education than the college graduates ($p{\leq}0.001$). As for the leave system, the dental hygienists who worked in general hospitals (p=0.011) and sited in Chungcheongnam-do ($p{\leq}0.001$) replied more leaves were provided. In terms of welfare benefits, there were significant differences in those regards according to the type of hospital (p=0.029) and service area ($p{\leq}0.001$). As to the reward system, their responses about this system were similar to their responses about education & training, leaves and welfare benefits. The motivating factors consisted of 6 motivation factors and 10 hygiene factors. The motivation factors included an opportunities to develop ability and appropriate training to their work. The hygiene factors involved implement of policies and procedures, work environments, relationship with colleagues. Regarding awareness of the motivation factors by general characteristics, there were differences in that aspect according to age (p=0.043), and their awareness of the hygiene factors was different according to service area (p=0.038). As a result of analyzing which factors affected motivating, the leave system (p=0.038) and communication (p=0.001) that belonged to the internal marketing activities were identified as the influential motivation factors. In terms of the hygiene factors, age and service area were influential among the general characteristics (p=0.047, p=0.045). Above findings of the study suggest that it will be possible for dental institutions to ensure successful management by conducting internal marketing activities tailored to the characteristics of their organizational members and by motivating dental hygienists especially through communication.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.117-140
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• 2019

As the aging phenomenon accelerates and various social problems related to the elderly of the vulnerable are raised, the need for effective elderly care solutions to protect the health and safety of the elderly generation is growing. Recently, more and more people are using Smart Toys equipped with ICT technology for care for elderly. In particular, log data collected through smart toys is highly valuable to be used as a quantitative and objective indicator in areas such as policy-making and service planning. However, research related to smart toys is limited, such as the development of smart toys and the validation of smart toy effectiveness. In other words, there is a dearth of research to derive insights based on log data collected through smart toys and to use them for decision making. This study will analyze log data collected from smart toy and derive effective insights to improve the quality of life for elderly users. Specifically, the user profiling-based analysis and elicitation of a change in quality of life mechanism based on behavior were performed. First, in the user profiling analysis, two important dimensions of classifying the type of elderly group from five factors of elderly user's living management were derived: 'Routine Activities' and 'Work-out Activities'. Based on the dimensions derived, a hierarchical cluster analysis and K-Means clustering were performed to classify the entire elderly user into three groups. Through a profiling analysis, the demographic characteristics of each group of elderlies and the behavior of using smart toy were identified. Second, stepwise regression was performed in eliciting the mechanism of change in quality of life. The effects of interaction, content usage, and indoor activity have been identified on the improvement of depression and lifestyle for the elderly. In addition, it identified the role of user performance evaluation and satisfaction with smart toy as a parameter that mediated the relationship between usage behavior and quality of life change. Specific mechanisms are as follows. First, the interaction between smart toy and elderly was found to have an effect of improving the depression by mediating attitudes to smart toy. The 'Satisfaction toward Smart Toy,' a variable that affects the improvement of the elderly's depression, changes how users evaluate smart toy performance. At this time, it has been identified that it is the interaction with smart toy that has a positive effect on smart toy These results can be interpreted as an elderly with a desire to meet emotional stability interact actively with smart toy, and a positive assessment of smart toy, greatly appreciating the effectiveness of smart toy. Second, the content usage has been confirmed to have a direct effect on improving lifestyle without going through other variables. Elderly who use a lot of the content provided by smart toy have improved their lifestyle. However, this effect has occurred regardless of the attitude the user has toward smart toy. Third, log data show that a high degree of indoor activity improves both the lifestyle and depression of the elderly. The more indoor activity, the better the lifestyle of the elderly, and these effects occur regardless of the user's attitude toward smart toy. In addition, elderly with a high degree of indoor activity are satisfied with smart toys, which cause improvement in the elderly's depression. However, it can be interpreted that elderly who prefer outdoor activities than indoor activities, or those who are less active due to health problems, are hard to satisfied with smart toys, and are not able to get the effects of improving depression. In summary, based on the activities of the elderly, three groups of elderly were identified and the important characteristics of each type were identified. In addition, this study sought to identify the mechanism by which the behavior of the elderly on smart toy affects the lives of the actual elderly, and to derive user needs and insights.