• Journal of the Korea Knowledge Information Technology Society
• /
• v.13 no.1
• /
• pp.11-23
• /
• 2018

This paper empirically investigates the factors that influence the consumer choice of an app market based on the rational choice theory. The app market is the only channel where a consumer can buy smartphone apps, which give various functional convenience and are considered to be a major contributor to the proliferation of smartphones. Analyses of 281 questionnaires show that usability and structural guarantees as benefit factors significantly influence the app market choice. From the cost perspectives, both monetary and non-monetary conversion costs are found to significantly influence the app market choice. On the other hand, customer trust, information quality, and market image were found to have no significant effect on app market selection. In particular, Korean app market platform providers (KT, LG U +) seem to be superior in terms of structural guarantees, such as customer center operation and damage compensation regulations, compared to overseas app market platform operators (Google). However, in the case of the Google App Market, it is pre-installed on all Android phones, so it is not inconvenient to install additional apps to use other app market. This is disadvantageous to domestic app market platform operators, and it is necessary to establish a policy solution point. In terms of operator costs, both monetary and non-monetary conversion costs have a significant impact on app market choice. In particular, non-monetary conversion costs have a negative impact on Korean app market platform operators. It can be explained that the service expectation level of the domestic app market is low and it is recognized that the time cost factor such as membership is large for new users to use. It seems to be necessary to improve the domestic app market business. Meanwhile, extant research on smartphone apps focuses on the purchase of apps themselves, but not on the selection of the app market itself. In order to fill in this gap, this study focuses on the determinants of app market selection, including the characteristics of an app market and the switching costs.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.18 no.4
• /
• pp.193-206
• /
• 2023

In a workplace, workers exhaust their resources due to workplace adversity or acquire resources through job-related passion. The purpose of this study is to verify the factors that affect the conversion of workers to entrepreneurs and through what paths entrepreneurial intention is generated. To this end, the effects of workplace adversity and job-related passion on entrepreneurial intention were explored with workers in Korea. Also, by empirically analyzing the effects of workplace adversity and job-related passion on entrepreneurial intention through the mediation of job-related creativity, this author attempted to derive the factors and implications associated with the conversion of workers to entrepreneurs. Analyzing 333 workers' data acquired through online surveys with the statistical packages of SPSS and AMOS, this study has gained the following results. First, workplace adversity is found to have positive(+) effects on entrepreneurial intention. This implies that workplace adversity that is negatively regarded is rather a crucial variable that increases entrepreneurial intention. Second, workplace adversity has positive(+) effects on job-related creativity. It means that job-related creativity is an effective factor to overcome workplace adversity. Third, job-related passion is found to have positive(+) effects on entrepreneurial intention. The passion to concentrate on the resources secured is an important factor to elevate entrepreneurial intention. Fourth, job-related passion is verified to have positive(+) effects on job-related creativity. It implies that creative methods can be effective in achieving the goal. Fifth, job-related creativity is found to have positive(+) effects on entrepreneurial intention. Creativity is an intention or action that precedes starting up a business, and it is judged that high job-related creativity reflects high expectation about the possibility of success in starting up a business. Sixth, job-related creativity is found to have mediating effects in correlation between workplace adversity and entrepreneurial intention. Seventh, job-related creativity is found to have mediating effects in correlation between job-related passion and entrepreneurial intention. This means that job-related creativity is an effective factor to alleviate the adversity of workers and increase job-related passion in the process of becoming entrepreneurs. Academically, there were few previous studies related to the adversity of workers in Korea. As this study targets office workers, it can be said that it is a differentiated study extending the range of subjects. Also, practically, it has been learned that negative workplace adversity, too, is an important variable that affect entrepreneurial intention positively. This is practically meaningful in terms of office workers' career management because even in adverse situations that are negative, starting up a business through work experiences may work as an alternative.

• Journal of Intelligence and Information Systems
• /
• v.21 no.2
• /
• pp.69-92
• /
• 2015

The explosion of social media data has led to apply text-mining techniques to analyze big social media data in a more rigorous manner. Even if social media text analysis algorithms were improved, previous approaches to social media text analysis have some limitations. In the field of sentiment analysis of social media written in Korean, there are two typical approaches. One is the linguistic approach using machine learning, which is the most common approach. Some studies have been conducted by adding grammatical factors to feature sets for training classification model. The other approach adopts the semantic analysis method to sentiment analysis, but this approach is mainly applied to English texts. To overcome these limitations, this study applies the Word2Vec algorithm which is an extension of the neural network algorithms to deal with more extensive semantic features that were underestimated in existing sentiment analysis. The result from adopting the Word2Vec algorithm is compared to the result from co-occurrence analysis to identify the difference between two approaches. The results show that the distribution related word extracted by Word2Vec algorithm in that the words represent some emotion about the keyword used are three times more than extracted by co-occurrence analysis. The reason of the difference between two results comes from Word2Vec's semantic features vectorization. Therefore, it is possible to say that Word2Vec algorithm is able to catch the hidden related words which have not been found in traditional analysis. In addition, Part Of Speech (POS) tagging for Korean is used to detect adjective as "emotional word" in Korean. In addition, the emotion words extracted from the text are converted into word vector by the Word2Vec algorithm to find related words. Among these related words, noun words are selected because each word of them would have causal relationship with "emotional word" in the sentence. The process of extracting these trigger factor of emotional word is named "Emotion Trigger" in this study. As a case study, the datasets used in the study are collected by searching using three keywords: professor, prosecutor, and doctor in that these keywords contain rich public emotion and opinion. Advanced data collecting was conducted to select secondary keywords for data gathering. The secondary keywords for each keyword used to gather the data to be used in actual analysis are followed: Professor (sexual assault, misappropriation of research money, recruitment irregularities, polifessor), Doctor (Shin hae-chul sky hospital, drinking and plastic surgery, rebate) Prosecutor (lewd behavior, sponsor). The size of the text data is about to 100,000(Professor: 25720, Doctor: 35110, Prosecutor: 43225) and the data are gathered from news, blog, and twitter to reflect various level of public emotion into text data analysis. As a visualization method, Gephi (http://gephi.github.io) was used and every program used in text processing and analysis are java coding. The contributions of this study are as follows: First, different approaches for sentiment analysis are integrated to overcome the limitations of existing approaches. Secondly, finding Emotion Trigger can detect the hidden connections to public emotion which existing method cannot detect. Finally, the approach used in this study could be generalized regardless of types of text data. The limitation of this study is that it is hard to say the word extracted by Emotion Trigger processing has significantly causal relationship with emotional word in a sentence. The future study will be conducted to clarify the causal relationship between emotional words and the words extracted by Emotion Trigger by comparing with the relationships manually tagged. Furthermore, the text data used in Emotion Trigger are twitter, so the data have a number of distinct features which we did not deal with in this study. These features will be considered in further study.

• The Korean Journal of Air & Space Law and Policy
• /
• v.30 no.2
• /
• pp.427-468
• /
• 2015

To date, we have considered the theoretical views, the standpoint of states and the discourse within the international community such as the UN Committee on the Peaceful Uses of Outer Space(COPUOS) regarding the Air/Outer Space Boundary Question which is one of the first issues of UN COPUOS established in line with marking the starting point of Outer Space Area. As above mentioned, discussions in the United Nations and among scholars of within each state regarding the delimitation issue often saw a division between those in favor of a functional approach (the functionalists) and those seeking the delineation of a boundary (the spatialists). The spatialists emphasize that the boundary between air and outer space should be delimited because the status of outer space is a type of public domain from which sovereign jurisdiction is excluded, as stated in Article 2 of Outer Space Treaty. On the contrary art. I of Chicago Convention is evidence of the acknowledgement of sovereignty over airspace existing as an international customary law, has the binding force of which exists independently of the Convention. The functionalists, backed initially by the major space powers, which viewed any boundary demarcation as possibly restricting their access to space, whether for peaceful or non-military purposes, considered it insufficient or inadequate to delimit a boundary of outer space without obvious scientific and technological evidences. Last more than 50 years there were large development in the exploration and use of outer space. But a large number states including those taking the view of a functionalist have taken on a negative attitude. As the element of location is a decisive factor for the choice of the legal regime to be applied, a purely functional approach to the regulation of activities in the space above the Earth does not offer a solution. It seems therefore to welcome the arrival of clear evidence of a growing recognition of and national practices concerning a spatial approach to the problem is gaining support both by a large number of States as well as by publicists. The search for a solution to the problem of demarcating the two different legal regimes governing the space above Earth has undoubtedly been facilitated and a number of countries including Russia have already advocated the acceptance of the lowest perigee boundary of outer space at a height of 100km. As a matter of fact the lowest perigee where space objects are still able to continue in their orbiting around the earth has already been imposed as a natural criterion for the delimitation of outer space. This delimitation of outer space has also been evidenced by the constant practice of a large number of States and their tacit consent to space activities accomplished so far at this distance and beyond it. Of course there are still numerous opposing views on the delineation of a outer space boundary by space powers like U.S.A., England, France and so on. Therefore, first of all to solve the legal issues faced by the international community in outer space activities like delimitation problem, there needs a positive and peaceful will of international cooperation. From this viewpoint, President John F. Kennedy once described the rationale behind the outer space activities in his famous "Moon speech" given at Rice University in 1962. He called upon Americans and all mankind to strive for peaceful cooperation and coexistence in our future outer space activities. And Kennedy explained, "There is no strife, ${\ldots}$ nor any international conflict in outer space as yet. But its hazards are hostile to us all: Its conquest deserves the best of all mankind, and its opportunity for peaceful cooperation may never come again." This speech seems to even present us in the contemporary era with ample suggestions for further peaceful cooperation in outer space activities including the delimitation of outer space.

• Journal of Intelligence and Information Systems
• /
• v.27 no.1
• /
• pp.23-46
• /
• 2021

Collaborative filtering, which is often used in personalization recommendations, is recognized as a very useful technique to find similar customers and recommend products to them based on their purchase history. However, the traditional collaborative filtering technique has raised the question of having difficulty calculating the similarity for new customers or products due to the method of calculating similaritiesbased on direct connections and common features among customers. For this reason, a hybrid technique was designed to use content-based filtering techniques together. On the one hand, efforts have been made to solve these problems by applying the structural characteristics of social networks. This applies a method of indirectly calculating similarities through their similar customers placed between them. This means creating a customer's network based on purchasing data and calculating the similarity between the two based on the features of the network that indirectly connects the two customers within this network. Such similarity can be used as a measure to predict whether the target customer accepts recommendations. The centrality metrics of networks can be utilized for the calculation of these similarities. Different centrality metrics have important implications in that they may have different effects on recommended performance. In this study, furthermore, the effect of these centrality metrics on the performance of recommendation may vary depending on recommender algorithms. In addition, recommendation techniques using network analysis can be expected to contribute to increasing recommendation performance even if they apply not only to new customers or products but also to entire customers or products. By considering a customer's purchase of an item as a link generated between the customer and the item on the network, the prediction of user acceptance of recommendation is solved as a prediction of whether a new link will be created between them. As the classification models fit the purpose of solving the binary problem of whether the link is engaged or not, decision tree, k-nearest neighbors (KNN), logistic regression, artificial neural network, and support vector machine (SVM) are selected in the research. The data for performance evaluation used order data collected from an online shopping mall over four years and two months. Among them, the previous three years and eight months constitute social networks composed of and the experiment was conducted by organizing the data collected into the social network. The next four months' records were used to train and evaluate recommender models. Experiments with the centrality metrics applied to each model show that the recommendation acceptance rates of the centrality metrics are different for each algorithm at a meaningful level. In this work, we analyzed only four commonly used centrality metrics: degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. Eigenvector centrality records the lowest performance in all models except support vector machines. Closeness centrality and betweenness centrality show similar performance across all models. Degree centrality ranking moderate across overall models while betweenness centrality always ranking higher than degree centrality. Finally, closeness centrality is characterized by distinct differences in performance according to the model. It ranks first in logistic regression, artificial neural network, and decision tree withnumerically high performance. However, it only records very low rankings in support vector machine and K-neighborhood with low-performance levels. As the experiment results reveal, in a classification model, network centrality metrics over a subnetwork that connects the two nodes can effectively predict the connectivity between two nodes in a social network. Furthermore, each metric has a different performance depending on the classification model type. This result implies that choosing appropriate metrics for each algorithm can lead to achieving higher recommendation performance. In general, betweenness centrality can guarantee a high level of performance in any model. It would be possible to consider the introduction of proximity centrality to obtain higher performance for certain models.

• Journal of Intelligence and Information Systems
• /
• v.25 no.4
• /
• pp.1-33
• /
• 2019

The small and medium sized enterprises (hereinafter SMEs) are already at a competitive disadvantaged when compared to large companies with more abundant resources. Manufacturing SMEs not only need a lot of information needed for new product development for sustainable growth and survival, but also seek networking to overcome the limitations of resources, but they are faced with limitations due to their size limitations. In a new era in which connectivity increases the complexity and uncertainty of the business environment, SMEs are increasingly urged to find information and solve networking problems. In order to solve these problems, the government funded research institutes plays an important role and duty to solve the information asymmetry problem of SMEs. The purpose of this study is to identify the differentiating characteristics of SMEs that utilize the public information support infrastructure provided by SMEs to enhance the innovation capacity of SMEs, and how they contribute to corporate performance. We argue that we need an infrastructure for providing information support to SMEs as part of this effort to strengthen of the role of government funded institutions; in this study, we specifically identify the target of such a policy and furthermore empirically demonstrate the effects of such policy-based efforts. Our goal is to help establish the strategies for building the information supporting infrastructure. To achieve this purpose, we first classified the characteristics of SMEs that have been found to utilize the information supporting infrastructure provided by government funded institutions. This allows us to verify whether selection bias appears in the analyzed group, which helps us clarify the interpretative limits of our study results. Next, we performed mediator and moderator effect analysis for multiple variables to analyze the process through which the use of information supporting infrastructure led to an improvement in external networking capabilities and resulted in enhancing product competitiveness. This analysis helps identify the key factors we should focus on when offering indirect support to SMEs through the information supporting infrastructure, which in turn helps us more efficiently manage research related to SME supporting policies implemented by government funded institutions. The results of this study showed the following. First, SMEs that used the information supporting infrastructure were found to have a significant difference in size in comparison to domestic R&D SMEs, but on the other hand, there was no significant difference in the cluster analysis that considered various variables. Based on these findings, we confirmed that SMEs that use the information supporting infrastructure are superior in size, and had a relatively higher distribution of companies that transact to a greater degree with large companies, when compared to the SMEs composing the general group of SMEs. Also, we found that companies that already receive support from the information infrastructure have a high concentration of companies that need collaboration with government funded institution. Secondly, among the SMEs that use the information supporting infrastructure, we found that increasing external networking capabilities contributed to enhancing product competitiveness, and while this was no the effect of direct assistance, we also found that indirect contributions were made by increasing the open marketing capabilities: in other words, this was the result of an indirect-only mediator effect. Also, the number of times the company received additional support in this process through mentoring related to information utilization was found to have a mediated moderator effect on improving external networking capabilities and in turn strengthening product competitiveness. The results of this study provide several insights that will help establish policies. KISTI's information support infrastructure may lead to the conclusion that marketing is already well underway, but it intentionally supports groups that enable to achieve good performance. As a result, the government should provide clear priorities whether to support the companies in the underdevelopment or to aid better performance. Through our research, we have identified how public information infrastructure contributes to product competitiveness. Here, we can draw some policy implications. First, the public information support infrastructure should have the capability to enhance the ability to interact with or to find the expert that provides required information. Second, if the utilization of public information support (online) infrastructure is effective, it is not necessary to continuously provide informational mentoring, which is a parallel offline support. Rather, offline support such as mentoring should be used as an appropriate device for abnormal symptom monitoring. Third, it is required that SMEs should improve their ability to utilize, because the effect of enhancing networking capacity through public information support infrastructure and enhancing product competitiveness through such infrastructure appears in most types of companies rather than in specific SMEs.

• Journal of Nutrition and Health
• /
• v.49 no.3
• /
• pp.189-200
• /
• 2016

Purpose: This study analyzed job importance, job performance, and job satisfaction in 38 dietitians working at geriatric hospitals and elderly healthcare facilities in Jeju surveyed from September 15-24, 2014 with the aim of providing basic data for improving the quality of meals and nutrition management for elderly patients. Methods: Data were analyzed using descriptive analysis, ${\chi}^2$-test, t-test, ANOVA, and Pearson's correlation coefficients using the SPSS Win program (version 12.0). Results: Regarding job importance, the average score was 4.29 (out of 5), indicating that hygiene and safety management scored the highest at 4.77 (out of 5), and nutrition management scored the lowest at3.86. In terms of job performance of subjects, the average score was 2.87 (out of 5), indicating that cooking operation management scored the highest at 4.42 (out of 5). Regarding the Importance-Performance Analysis (IPA) of job importance and job performance, hygiene and safety management and cooking operation management scored high for importance and performance (B quadrant) menu management, human resource management, and nutrition management scored low for importance and performance (C quadrant) and purchasing management and financial management were included inD quadrant and A quadrant, respectively. For the level of job satisfaction of subjects, the average score was 3.37 (out of 5), indicating that relationships with colleagues scored the highest at 3.72, and improving professionalism scored the lowest at 2.95. Additionally, job importance and performance of subjects were positively correlated withjob satisfaction (r = 0.395, r = 0.386, both p < 0.05). Conclusion: In conclusion, scores for job importance and job performance of nutrition management were low, and job satisfaction of improving professionalism scored low. Therefore, continuous training and education programs of nutrition management should be provided to improve professionalism of dietitians at geriatric hospitals and elderly healthcare facilities.

• Korean Journal of Heritage: History & Science
• /
• v.46 no.2
• /
• pp.186-205
• /
• 2013

${\ll}$Three Purities Album${\gg}$ in the Kansong Art Museum is an album of poems and pictures of apricot tree, orchids and bamboos drawn by Lee Jeong. Given that the poems and pictures in the album were drawn by Lee Jeong who has been recognized as a person who established the standards of ink bamboo drawings in the Joseon Dynasty, the album is highly valuable. Nevertheless, there are more values and meanings that Three Purities Album has. The production circumstances and transmission processes of Three Purities Album include the historical characteristics and meanings of the time so that it is also worthwhile as a historical material. During the Japanese Invasion of Korea in 1592, Lee Jeong was stabbed with a sword by Japanese invaders and got injured. After he suffered, he tried to make his masterpiece in his lifework and finally created Three Purities Album. For the work, Lee Jeong received memorial writings from Choi Rip, Cha Cheon-ro and Han Ho, and asked them writings. They were the best literary men in the poem and calligraphy fields at that time. Yu Geun, Lee An-nul, and Yu Mong-in made writings and poems to praise his work. Likewise, ${\ll}$Three Purities Album${\gg}$ is the 'treasure of the time' created through the participation of the best literary men at that time. Given the aspects, it is fair to say that ${\ll}$Three Purities Album${\gg}$ is not simply a personal artwork of Lee Jeong, but is a comprehensive artwork and also a cultural monument created through the skills and capabilities of the literary artists in the middle of the Joseon Dynasty. After the death of Lee Jeong, Three Purities Album was handed over to Hong Ju-won. But, during the second Manchu Invasion into Korea in 1636, the album was in danger of disappearance by fire. As of now, there are still signs of fire in it, which vividly shows the urgent situation at that time. After the second Manchu Invasion into Korea in 1636, Hong Ju-won recovered some damaged writings with the help of Yoon Shin-ji. Since then, the album had been handed down as a family treasure over the next 7 generations. It can be found in the writings by Song Si-yeol and Uh Yu-bong. Unlike the literary men who praised Three Purities Album in terms of its work when Lee Joeng was alive, they focused on the transmission courses of the album and involved persons. That seems to be because the stories and characters appearing in Three Purities Album impressed the later literary men and were meaningful to them rather than the album itself. It strongly reflected the positions of Hong Jung-gi and Hung Sang-han who asked for writings as the descendants of Hong Ju-won. That is because the traces of the persons involved in Three Purities Album are the causes for admiring their ancestors and enhancing their political legitimacy and family dignity. Therefore, in this aspect, it is possible to witness the fundamental causes of the unique artistic awareness by East Asian people who consider their historical meanings as well as the aesthetic value of artworks significant. Unfortunately, during the Japanese invasion at the end of the Joseon Dynasty, Three Purities Album was handed over to Japanese Tzuboikouso. But, fortunately, Jeon Hyeong-pil who made an effort to regain our cultural assets by investing his entire property during the Japanese Imperialism regained the album, which is now preserved in the Kansong Art Museum. ${\ll}$Three Purities Album${\gg}$ truly includes the whole processes to overcome national crises that Korean people experienced during the Japanese Invasion in 1592, the second Manchu Invasion of Korea in 1636, and the Japanese Imperialism, and it shows the sufferings of our cultural assets and the history of preservation. Also, the album shows that one artwork is able to accumulate its historical meanings in the process of transmission and thus enhances its meanings and values. ${\ll}$Three Purities Album${\gg}$ features accumulative and constant historical meanings and it is a typical case showing that an artwork is plenty of aesthetic and historical values. It is expected that this work will contribute to promoting more studies on finding historical meanings and hysteresis of artworks.