• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.1
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• pp.52-63
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• 2019

Biased performance implications are common in conducting empirical analysis on leading firms in strategic management field. Venture businesses in which successful and failing firms in the future are mixed in the present could provide a better discriminative result for examining the determinants of performance. We suggest hypotheses on how competitive strategy, CEO characteristics, and their interactions affect firm performance. We examine these hypotheses through empirical analyses on the basis of a survey collected from 387 venture businesses in order to assure the validity of strategic management theories by using more deviated data. Empirical results show that innovative differentiation from competitive strategies affects firm performance and innovativeness and long-term orientation from CEO characteristics affect firm performance. According to the results of the interaction analyses between competitive strategies and CEO characteristics, cost-leadership and marketing differentiation strategies have combination effects with risk taking, innovativeness, and long-term orientation, while innovative differentiation strategy has no combination effects with risk taking, innovativeness, and long-term orientation. We conclude that cost-leadership and marketing differentiation strategies have no direct effect on firm performance but have combination effects with CEO characteristics, while innovative differentiation strategy has direct effect on firm performance but has no combination effect. Our primary contribution is that we test and confirm that the fit between competitive strategies and CEO characteristics are an important consideration to increase firm performance in venture businesses.

• Knowledge Management Research
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• v.22 no.4
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• pp.27-40
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• 2021

Click-Through Rate (CTR) prediction is a key function that determines the ranking of candidate items in the recommendation system and recommends high-ranking items to reduce customer information overload and achieve profit maximization through sales promotion. The fields of natural language processing and image classification are achieving remarkable growth through the use of deep neural networks. Recently, a transformer model based on an attention mechanism, differentiated from the mainstream models in the fields of natural language processing and image classification, has been proposed to achieve state-of-the-art in this field. In this study, we present a method for improving the performance of a transformer model for CTR prediction. In order to analyze the effect of discrete and categorical CTR data characteristics different from natural language and image data on performance, experiments on embedding regularization and transformer normalization are performed. According to the experimental results, it was confirmed that the prediction performance of the transformer was significantly improved when the L2 generalization was applied in the embedding process for CTR data input processing and when batch normalization was applied instead of layer normalization, which is the default regularization method, to the transformer model.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.89-99
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• 2022

Due to COVID-19, non-face-to-face cultures such as remote classes, remote work, and tele-medicine are spreading. The major contributors to the settlement of such a non-face-to-face society are small and medium SW companies and SW manpower. However, recently as large platform companies and foreign big tech companies hire thousands of SW manpower, SW small and medium-sized companies are experiencing a serious manpower shortage. Therefore, the purpose of this study is to suggest policy alternatives for SMEs to stably secure SW manpower and support continuous business operation. To achieve this purpose, this study examines the current status of the SW industry and manpower, then summarizes related issues and suggests policy alternatives to solve these issues. Those policies include the reinforcement of incentives to support manpower retention such as the Naeil Chaeum deduction system, youth housing union composition, special military service system, recruitment of manpower through the contract semester system of employment conditions, reinforcement of customized education through supplementation of the SW manpower training voucher system, SW field skill standardization, establishment of a governance system for nurturing SW manpower, preparation of countermeasures against the outflow of manpower to large companies, and a win-win cooperation program for large and SME SW manpower.

• Information Systems Review
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• v.22 no.4
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• pp.21-39
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• 2020

Recently, deep learning has shown high performance in various applications such as pattern analysis and image classification. Especially known as a difficult task in the field of machine learning research, stock market forecasting is an area where the effectiveness of deep learning techniques is being verified by many researchers. This study proposed a deep learning Convolutional Neural Network (CNN) model to predict the direction of stock prices. We then used the feature selection method to improve the performance of the model. We compared the performance of machine learning classifiers against CNN. The classifiers used in this study are as follows: Logistic Regression, Decision Tree, Neural Network, Support Vector Machine, Adaboost, Bagging, and Random Forest. The results of this study confirmed that the CNN showed higher performancecompared with other classifiers in the case of feature selection. The results show that the CNN model effectively predicted the stock price direction by analyzing the embedded values of the financial data

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.6
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• pp.85-105
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• 2021

In this study, a case study was conducted on Advanced Nano Products Co.,Ltd, a company that was established in 2000 and has the core technology to produce and commercialize nano materials and ultrafine nano powders based on nano technology. Deviating from the general case study, a case study analysis frame was set based on the theory of technology management and industry-university cooperation theory, and cases were analyzed. In this case study, Advanced Nano Products Co.,Ltd. was analyzed from two analytical perspectives: the establishment of a Management Of Technology system within the company and the Industry-Academic Cooperation activity. Based on this theoretical-based analysis framework, company visit interviews and related data research and analysis were conducted. As a result of the study of the case company, it was possible to derive how the technology management and industry-university cooperation affect the growth stage of the company as follows. First, the strategic use of technology management is an important factor in strengthening the competitive advantage and core competencies of venture companies, and for survival and growth of startups in the early stages. Second, strategic use of technology management and patents and establishment of a patent management system are a part of business strategy and play a pivotal role in corporate performance. Third, the human and material infrastructure of universities affects the growth of companies in the early stage of start-up, and the high utilization of industry-university cooperation promotes the growth of companies. Fourth, continuous industry-academic cooperation activities in the growth and maturity stages of a company's growth stage are the basis for activating external exchanges and building networks. Lastly, technology management and industry-university cooperation were found to be growth factors for each growth stage of a company. In order for a company to develop continuously from the start-up to the growth and maturity stages, it is necessary to establish a technology management system from the beginning and promote strategic technology management activities. In addition, it can be said that it is important to carry out various industry-academic cooperation activities outside the company. As a result of the case analysis, it was found that Advanced Nano Products Co.,Ltd, which performed these two major activities well, overcame the crisis step by step and continued to grow until now. This study shows how the use of technology management and industry-academic cooperation creates value in each growth stage of technology-based venture companies. In addition, its active use will play a big role in the growth of other venture companies. The results of this case study can be a valid reference for growth research of technology start-up venture companies and related field application and utilization.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.185-209
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• 2023

With the advent of the 4th industrial revolution, various technologies have received much attention. Technologies related to the 4th industry include the Internet of Things (IoT), big data, artificial intelligence, virtual reality (VR), 3D printers, and robotics, and these technologies are often converged. In particular, the robotics field is combined with technologies such as big data, artificial intelligence, VR, and digital twins. Accordingly, much research using robotics is being conducted, which is applied to distribution, airports, hotels, restaurants, and transportation fields. In the given situation, research on human-robot interaction is attracting attention, but it has not yet reached the level of user satisfaction. However, research on robots capable of perfect communication is steadily being conducted, and it is expected that it will be able to replace human emotional labor. Therefore, it is necessary to discuss whether the current human-robot interaction technology can be applied to business. To this end, this study first examines the trend of human-robot interaction technology. Second, we compare LDA (Latent Dirichlet Allocation) topic modeling and BERTopic topic modeling methods. As a result, we found that the concept of human-robot interaction and basic interaction was discussed in the studies from 1992 to 2002. From 2003 to 2012, many studies on social expression were conducted, and studies related to judgment such as face detection and recognition were conducted. In the studies from 2013 to 2022, service topics such as elderly nursing, education, and autism treatment appeared, and research on social expression continued. However, it seems that it has not yet reached the level that can be applied to business. As a result of comparing LDA (Latent Dirichlet Allocation) topic modeling and the BERTopic topic modeling method, it was confirmed that BERTopic is a superior method to LDA.

• Journal of Technology Innovation
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• v.20 no.3
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• pp.229-253
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• 2012

There has been various government SME R&D programs and the increase of budget which amount to 15.8% CAGR over the last 10 years, in order to support the research and development of SMEs which accounts for over 99% of our nation's total number of companies. To investigate the factors which affect the ROI of the Government R&D project for SMEs, we conducted Tobit and Logistic regression analysis on the 1237 projects of 'Technology Innovation Program for SME' which is one of the major programs of the Korea Small and Medium Business Administration. The empirical results of this study are as follows. Application or registration of patent or certification while performing the project, positively affect the financial performance of the government R&D project. And we can also find that, according to the technology field, patent and certification have a markedly different effect on ROI of the project. The results of this study suggest that planning, evaluation, and managing of government SME R&D project should be performed with the consideration of the effect of patent and certification on the economic performance, according to the technology field of the project.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.371-380
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• 2016

The aim of this case research is to describe the convergence education of Akita International University. Today, competition among universities in Korea are becoming more and more intensified, its strength is expected to continue to rise. In this situation, the Akita International University provides meaningful implications for universities in Korea. Universities in Japan are at similar situation in Korea. The unique values of Akita that we identified are twofold: The first is internationalization in education. The purpose of the internationalization is for Japanese students. For exchange students, AIU provides japan studies program and japan language program. To do this, AIU forms an international community to mingle Japanese students with foreign exchange students by living and learning together. Second thing is about international liberal arts education. The focus of international liberal arts education is that students acquire comprehensive range of skills and knowledge to build the intellectual foundation for specialist study by providing a broad range of academic disciplines. In doing so, students promotes learner autonomy. Unlike specialized education, in which students acquire an in-depth knowledge of a particular field, providing international liberal arts education is to find a field in which students want to study further. The implications and conclusions are discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.70-80
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• 2020

This study examined the effects of the R&D project managers' leadership on the product development performance. A survey was carried out empirically on a group of 175 experts associated with project management R&D operations in the field of manufacturing, construction engineering, shipbuilding, plant, and IT. The survey results showed that the effects of the R&D project managers' leadership on the product development performance were not significant, and the mediating effects of the project sponsor roles were significant. This means that the leadership of leaders, which requires efficient control and management based on complicated intergroup relationships and roles, is important in a project involving experts from the professional field. This suggests that the efficient leadership of leaders can improve the performance through the cooperation of members in the organization and aggregation of their core competencies in a limited time. Overall, the key results of this study mean that project leaders should play an active mediating role to maximize their leadership and enhance the role of project sponsors. In addition, the mediating role of project sponsors has an effect on the leadership of project managers, affecting the project performance quality.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.227-232
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• 2022

This study is an exploratory study on the sustainable management of MICE events, and was conducted using the FGI method. Twelve experts in the MICE field, industry, and academia were selected as the subjects of the study. The reason is that understanding and specialty of those targets provides research reliability and validity. The study period was 3 months from June to August 2021. As a result, it is very important to prepare a sustainable development strategy in the MICE industry, and in particular, the need for guidelines to be practiced during event operation from the organizer's point of view was derived. In addition, to derive items that can be used in practice based on the theoretical basis, and it was necessary to derive research results using internationally recognized Sustainable Development Goals (UNSDGs) and sustainable MICE research developed in the fields of tourism and MICE. Therefore, through the verification of such experts in the field of MICE, theoretical and practical guidelines from the perspective of the organizer that can be used when holding MICE were developed. The results of the study will provide implications for establishing more effective strategies for hosting sustainable MICE events in the future.