As the global market environment changes, the domestic ICT industry has a growing influence on the world economy. This industry is regarded as an important driving force in the national economy from a technological and social point of view. In particular, small and medium-sized enterprises (SMEs) in the ICT industry are regarded as essential actors of domestic economic development in terms of company diversity, technology development and job creation. However, since it is small compared to large-sized enterprises, it is difficult for SMEs to survive with a differentiated strategy in an incomplete and rapidly changing environment. Therefore, SMEs must make a lot of efforts to improve their own capabilities, and the government needs to provide the desirable help suitable for corporate internal resources so that they can continue to be competitive. This study classifies the types of ICT SMEs participating in government support programs, and analyzes the relationship between resources and performance creation of each type. The data from the "ICT Small and Medium Enterprises Survey" conducted annually by the Ministry of Science and ICT was used. In the first stage, ICT SMEs were clustered based on common factors according to their experiences with government support programs. Three clusters were meaningfully classified, and each cluster was named "active participation type," "initial support type," and "soloist type." As a second step, this study compared the characteristics of each cluster through profiling analysis for each cluster. The third step carried out in this study was to find out the mechanism of R&D performance creation for each cluster through regression analysis. Different factors affected performance creation for each cluster, and the magnitude of the influence was also different. Specifically, for "active participation type", "current manpower", "technology competitiveness", and "R&D investment in the previous year" were found to be important factors in creating R&D performance. "Initial support type" was identified as "whether or not a dedicated R&D organization exists", "R&D investment amount in the previous year", "Ratio of sales to large companies", and "Ratio of vendors supplied to large companies" contributed to the performance. Lastly, in the case of "soloist type", "current workforce" and "future recruitment plan", "technological competitiveness", "R&D investment", "large company sales ratio", and "overseas sales ratio" showed a significant relationship with the performance. This study has practical implications of showing what strategy should be established when supporting SMEs in the future according to the government's participation in the startup program and providing a guide on what kind of support should be provided.
The number of "Performing Arts Festivals" is growing increasingly in South Korea. This trend is mainly held in large cities which are difficult to communicate closely among residents. South Korea, while the pace of city life and speed of development are very fast, increasing number of "Performing Arts Festivals" with communal characteristics is in the natural process of festival evolution in large cities. In the evolution of the contemporary festival, it is natural to see some increase of modern festival after the development of traditional and folk festivals. It is important that the "Performing Arts Festivals" express the two elements, artistic character and festivity, not only in distinctively but also in harmony. The "Performing Arts Festivals" should consider the process of the organization, human resources, networking systems of the human communication process, resource use, etc. For the success of the festival, we must obtain the complementary effects between two attributes:festival characteristics and artistic senses. Therefore, we chose the 'Festival d'Avignon' as the reference of the total representation of artistic characteristics and festivity. From the case of the Festival d'Avignon, we get the implications of the development of performing arts festival in South Korea. To explain the festival value and artistic significance of the Festival d'Avignon, we explained the spontaneity and openness to public participation, the relationship between spectators and works, the representation of memory and communicative image, etc. To explain the artistic attributes of the 'Festival d'Avignon', we explained the mission to reconcile the artistic and the popular, to promote the artistic know-how, understanding how to communicate with the public, to consider more artistic quality than commercial benefits. Essentially, this study shows the meaning and the vision to forecast the future as well as the recent proliferation in various fields of Performing Arts Festivals. This study may help to improve analytical precision of Performing Arts Festivals.
Entrepreneurs should continuously invest resource and capital for a long time to get tangible business results. In order to be successful, despite difficulties, it is essential for entrepreneurs to continue entrepreneurial businesses without giving up too early. Thus, it can be said that organizational commitment of entrepreneurs is essential for success. According to previous studies, the organizational commitment of entrepreneurs has a significant effect on organizing, establishments of new firms and new product developments. The purpose of this article is to examine the relationships among learning orientation, innovativeness and organizational commitment of entrepreneurs. Especially, we focus on the mediating effect of innovativeness in the relationship between learning orientation and organizational commitment and the moderating effect of career relevance among the relationships. Based on empirical analysis, we reported the following results. First, learning orientation, innovativeness and career relevance of entrepreneurs had significant positive effects on organizational commitment. Second, it was found that innovativeness of entrepreneurs has a partial mediating effect on the relationship between learning orientation and organizational commitment. Third, using Baron & Kenny's hierarchical multiple regression analysis, we examined the moderating effect of career relevance among the relationships of learning orientation, innovativeness and organizational commitment. Third, because the interaction term was found to be positively significant, it was concluded there is a moderating effect of career relevance between learning orientation and innovativeness. This means, when career relevance was higher than average, the influence of learning orientation on innovation increases even more. Fourth, it was also found there is a moderating effect of career relevance between learning orientation and organizational commitment. However, the results of the mediated moderating effect analysis showed the moderating effect of career relevance between learning orientation and organization commitment is an indirect effect of moderating effect of career relevance between learning orientation and innovativeness mediated by innovativeness.
From January 2020 to October 2021, more than 500,000 academic studies related to COVID-19 (Coronavirus-2, a fatal respiratory syndrome) have been published. The rapid increase in the number of papers related to COVID-19 is putting time and technical constraints on healthcare professionals and policy makers to quickly find important research. Therefore, in this study, we propose a method of extracting useful information from text data of extensive literature using LDA and Word2vec algorithm. Papers related to keywords to be searched were extracted from papers related to COVID-19, and detailed topics were identified. The data used the CORD-19 data set on Kaggle, a free academic resource prepared by major research groups and the White House to respond to the COVID-19 pandemic, updated weekly. The research methods are divided into two main categories. First, 41,062 articles were collected through data filtering and pre-processing of the abstracts of 47,110 academic papers including full text. For this purpose, the number of publications related to COVID-19 by year was analyzed through exploratory data analysis using a Python program, and the top 10 journals under active research were identified. LDA and Word2vec algorithm were used to derive research topics related to COVID-19, and after analyzing related words, similarity was measured. Second, papers containing 'vaccine' and 'treatment' were extracted from among the topics derived from all papers, and a total of 4,555 papers related to 'vaccine' and 5,971 papers related to 'treatment' were extracted. did For each collected paper, detailed topics were analyzed using LDA and Word2vec algorithms, and a clustering method through PCA dimension reduction was applied to visualize groups of papers with similar themes using the t-SNE algorithm. A noteworthy point from the results of this study is that the topics that were not derived from the topics derived for all papers being researched in relation to COVID-19 (