• Journal of Digital Convergence
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• v.15 no.3
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• pp.129-138
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• 2017

This study intends to analyze the impact of technology commercialization activities in the area of basic research on the technology utilization performances and the corporate business performances. The technology commercialization activities are divided into the experiences of promoting technology commercialization, the department dedicated to technology commercialization, and the technology commercialization consulting. Additionally, this study has used the tracked information of the companies that adopted the basic research-related technologies. Therefore, we conducted the analysis on the mediating effects under the assumption that it can be extended to the business performance of companies in addition to technology utilization performance. To do this, we developed the empirical model through previous studies and developed various research models by subdividing the types of technology commercialization. As the result, it was analyzed that all the variables of activities involved in the technology commercialization utilizing basic research results had positive effects on the technology utilization performance and business performances, and there were also mediating effects on the technology-related performance.

• Journal of Digital Convergence
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• v.15 no.1
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• pp.53-60
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• 2017

The time of digital era and the increasing complexity of the management environment have raised uncertainties about the future. Companies have made steady investments in education as a way to prepare for the future. In this study, design and development methodology based on web - based management simulation games (manufacturing, distribution, finance) which author participated in development was presented. The development methodology presented in this study can be roughly divided into business simulation game design methodology and business simulation game development methodology. Since there is no existing research methodology for development methodology, development model is presented based on empirical based on development case. In this paper, we propose an overall content development methodology and propose a detailed methodology of the content.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.187-197
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• 2018

To improve Organization's creative product by using external knowledge and information. This study suggests the procedure among Entrepreneurship, absorptive capacity(Potential absorptive capacity, Realized absorptive capacity), Creative product. To the empirical analysis of the theoretical relationship, The research model was set up through literature research. method Empirical analysis was conducted using total 487 questionnaires from worker of electronic industry in Kyung-buk region. the results of this study are as followings; First, Entrepreneurship related positively to Creative product. Second, Creative product was affected through process in order of Entrepreneurship, Potential absorptive capacity, Realized absorptive capacity. This results contribute to the improvement of organization's Creativity and the utilization of external knowledge.

• The Journal of Society for e-Business Studies
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• v.24 no.2
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• pp.91-112
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• 2019

In accordance with the advent of the 5th generation (5G) communication technology, we are having a change in various communication services which converge with high technologies related to the 4th Industrial Revolution. To utilize the upcoming 5G technology effectively and practically, we analyzed the technologies which have the most potential in convergence under the introduction of 5G technology and as a result, it is a autonomous vehicle that we'll discuss the core technologies of the 4th Industrial Revolution, which can lead to service activation by being combined with 5G technology. In addition, we developed an industry-service classification of 5G-based autonomous vehicle, we provided a basis for supporting a new business and its new business model converged with 5G communication technology. Furthermore, we will create a linkage matrix with the industry-service classification system of a new autonomous vehicles. This matrix will service as a guideline for industry-service development where autonomous vehicles can be utilized actively in the next generation.

• Journal of Sport and Applied Science
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• v.5 no.2
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• pp.39-46
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• 2021

Purpose: This study aims to analyze the management environment provincial and municipal professional soccer teams based on financial statements at a time when strengthening the financial soundness of domestic professional soccer teams is emphasized. Research design, data, and methodology: This study analyzed the financial statements (2018-2020) of the six teams of the provincial and municipal professional soccer teams whose financial statements were disclosed. The statements includes indicators of growth, profit and stability, which represents the main business performance of the entity. Results: As a result of the study, First, in terms of sales growth, sales in 2020 fell sharply year-on-year due to the impact of Covid-19. Second, the increase in sales through the import of player transfer fees had a positive impact on the growth of the business performance of the provincial and municipal professional soccer teams. Third, the profitability of the provincial and municipal professional soccer team is still low. Fourth, the debt ratio of the provincial and municipal professional soccer team was high, indicating that stability was serious. Conclusions: In order to increase sales, various strategies and measures are needed to overcome external factors such as media content products and non-face-to-face content strategies. The provincial and municipal professional soccer team, which has weak self-sustaining operations, needs to generate more profits through transferring players as a new management (profit) model, and first of all, a long-term strategy is needed to secure financial stability by improving the club's profitability.

• Korea Trade Review
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• v.47 no.3
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• pp.57-73
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• 2022

The process and change of convergence in the economy and industry with the development of digital technology and combining with new technologies is called Digital Transformation. Specifically, it refers to innovating existing businesses and services by utilizing information and communication technologies such as big data analysis, Internet of Things, cloud computing, and artificial intelligence. Digital transformation is changing the shape of business and has a wide impact on businesses and consumers in all industries. Among them, the big data and analytics market is emerging as one of the most important growth drivers of digital transformation. Integrating intelligent data into an existing business is one of the key tasks of digital transformation, and it is important to collect and monitor data and learn from the collected data in order to efficiently operate a data-based business. In developed countries overseas, research on new business models using various data accumulated at the level of government and private companies is being actively conducted. However, although the trade and import/export data collected in the domestic public sector is being accumulated in various types and ranges, the establishment of an analysis and utilization model is still in its infancy. Currently, we are living in an era of massive amounts of big data. We intend to discuss the value of trade big data possessed from the past to the present, and suggest a strategy to activate trade big data for trade digital transformation and a new direction for future trade big data research.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.161-168
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• 2015

Given social problems of social network service (SNS) addiction, it is critical to understand user's formation mechanism of SNS addiction. Since a number of studies have demonstrated the negative outcomes of excessive SNS use, the researchers examined important antecedents of SNS addiction as SNS habit that is considered as a key driver of SNS addiction. Moreover, the effects of self-expression, network management, and information search on SNS addition formation were investigated. The proposed theoretical model was empirically tested by using longitudinal survey data collected from 206 Facebook users. The analysis results indicate that SNS habit plays an important role in forming SNS addiction. Further, self-expression, network management, and information search influence SNS addiction through SNS habit. The analysis results offer some in-depth perspectives to SNS providers and government that establish policies or digital convergence strategies to induce healthy SNS use.

• Journal of Digital Convergence
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• v.13 no.6
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• pp.113-124
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• 2015

Convergence-based Smart Work in Korea started from 2010 with a purpose to improve work-life balance. Up to now the previous research on Smart Work has been studied in the context of the pre-adoption or the adoption stage, and shows some limitations not finding out the effort to manage change, the issues occurred in the process of adopting Smart Work, and the performance after adopting Smart Work. The period after adoption is when users continue to use ICT and intended objectives can be accomplished. Therefore, this study investigated the process that the organizations adopting Smart Work have overcome spatial and temporal constraints and the performance that they have achieved after adopting it. Though the framework integrating time-geography theory with technology acceptance stage, this research interviewed four managers of three organizations being responsible for adopting and operating Smart Work and provided its adopting process and performance of each organization.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.55-62
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• 2015

IT SMEs' product planning, product design, and manufacturing capabilities are of importance to creating their sustainable competitive advantages in the context of digital convergence. However, there have been few empirical studies investigating the relationships among them, which has made this research attempt to model the relationships and empirically test them. Especially, this study divided IT SMEs' product design capability into the product exterior and interior design capabilities and focused on the mediating effects of the product exterior and interior design capabilities between the product planning and manufacturing capabilities. By analyzing the 310 samples of Korean IT SMEs with the ordinary least squares regression analysis, this study has empirically revealed that IT SMEs' product exterior and interior design capability jointly and fully mediate the positive relationship between their product planning and manufacturing capabilities.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.116-125
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• 2022

The purpose of this study is to analyze whether investor anxiety caused by COVID-19 affects cryptocurrency prices in the COVID-19 pandemic, and to experiment with cryptocurrency price prediction based on a deep learning model. Investor anxiety is calculated by combining Naver's Corona search index and Corona confirmed information, analyzing Granger causality with cryptocurrency prices, and predicting cryptocurrency prices using deep learning models. The experimental results are as follows. First, CCI indicators showed significant Granger causality in the returns of Bitcoin, Ethereum, and Lightcoin. Second, LSTM with CCI as an input variable showed high predictive performance. Third, Bitcoin's price prediction performance was the highest in comparison between cryptocurrencies. This study is of academic significance in that it is the first attempt to analyze the relationship between Naver's Corona search information and cryptocurrency prices in the Corona phase. In future studies, extended studies into various deep learning models are needed to increase price prediction accuracy.