Park, Sunyoung;Lee, Gene Moo;Kim, You-Eil;Seo, Jinny
Journal of Technology Innovation
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v.26
no.4
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pp.199-232
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2018
There are increasing needs for understanding and fathoming of business management environment through big data analysis at industrial and corporative level. The research using the company disclosure information, which is comprehensively covering the business performance and the future plan of the company, is getting attention. However, there is limited research on developing applicable analytical models leveraging such corporate disclosure data due to its unstructured nature. This study proposes a text-mining-based analytical model for industrial and firm level analyses using publicly available company disclousre data. Specifically, we apply LDA topic model and word2vec word embedding model on the U.S. SEC data from the publicly listed firms and analyze the trends of business topics at the industrial and corporate levels. Using LDA topic modeling based on SEC EDGAR 10-K document, whole industrial management topics are figured out. For comparison of different pattern of industries' topic trend, software and hardware industries are compared in recent 20 years. Also, the changes of management subject at firm level are observed with comparison of two companies in software industry. The changes of topic trends provides lens for identifying decreasing and growing management subjects at industrial and firm level. Mapping companies and products(or services) based on dimension reduction after using word2vec word embedding model and principal component analysis of 10-K document at firm level in software industry, companies and products(services) that have similar management subjects are identified and also their changes in decades. For suggesting methodology to develop analysis model based on public management data at industrial and corporate level, there may be contributions in terms of making ground of practical methodology to identifying changes of managements subjects. However, there are required further researches to provide microscopic analytical model with regard to relation of technology management strategy between management performance in case of related to various pattern of management topics as of frequent changes of management subject or their momentum. Also more studies are needed for developing competitive context analysis model with product(service)-portfolios between firms.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.11
no.3
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pp.233-242
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2016
Startup must be agile and be able to handle extreme changes, survive unpredicted threats, and capitalize on emerging business opportunities. Agile teams continually sense changes for competitive action and marshal the necessary knowledge. While team members share their knowledge, there must be emerging various type of conflicts in teams. This study examines the relationship among the conflict, knowledge sharing and agility in startup context. At the same time, we tested the roles of shard vision both moderating variable between conflict and knowledge sharing, and antecedent for knowledge sharing. Different two types of conflict, task conflict and relationship conflict, knowledge sharing, agility, and different impact of shared vision are identified from literatures and tested. 182 data points were collected from under 5-year old startup's representatives to test these hypotheses. PLS data analysis indicated that the task conflict and shard vision positively effect on knowledge sharing, and then knowledge sharing has statistically significant effect on agility. And the impact of conlict has been weakened by shared vision's moderating effect. Based on the results, we proposed practically several team management skills for startup managers, leaders and stakeholder, and explained theoretical contributions.
Journal of the Economic Geographical Society of Korea
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v.6
no.1
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pp.21-44
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2003
It is the Third Italy's industrial districts that is emerging as effective strategies for regional economic development since 1970' s. Compared with mass production system, it's production system is characterized the cooperative networks of a number of enterprise specialized in specific sector or process. This work will analysis the course of growth and industrial characteristics of Modena engineering industrial district and Mirandola bio-industrial district as the exemplary industrial district, so elucidate new principle of building industrial space named development of industrial districts. This work point out three characteristics which these industrial districts have. First, these districts have the production system based vertical dis-integration and specialization among enterprise like general industrial districts in Third Italy. This factor make Modena and Mirandola's production system coupled with specialized enterprise in coping with various demand of consumer. Second, technological innovation is very important factor in growing industrial districts. This factor contributes these two districts to have developed as the competitive industrial clusters in the world. Last point is the difference of local governance by the two city governments. Modena city government has made a lot of industrial spaces but in Mirandola the leading enterprise has contributed to shape the industrial district.
Recent reports about economic structure and changes show that global economy changes to rely on service rather than manufacturing. This phenomenon can be explained in two ways: the growth of service industry itself and the increasing reliance on service by other industry areas. The importance of service is indicated by the fact that the contribution of research and development, marketing, and finance to the revenue generation of companies is getting greater than that of manufacturing. This change in the economic structure calls for researchers' attention on the importance of service and the service-based economy. In the service-based economy, firms are considered value proposition providers and consumers actual value creators so that the concept of co-value creation becomes a key thesis to study. However, there are a variety of definitions of service and diversified measurements of service anchored in the supplier-oriented understanding of service yet. This lack of understanding of the service and the economic paradigm change causes a lot of problems in the areas of service productivity, service quality, and service innovation. Even though a new movement called service science started and rigorously pursues the way of enhancing the understanding of the economic change and service productivity, there is no framework that provides a unified view about the new role of service, service productivity, service quality, and thus service innovation. This study proposes a unified framework to provide a structured view about service provision and to facilitate the research on service. The framework is built on the concepts from previous studies about service marketing and service science: service life cycle and service networks including value activity network, resource integrator network, and capability network. We hope this study can be used as the basis for future studies on service science.
In the era of fierce global competition and short product life cycle, firms have been interested in the technology valuation to improve their competitiveness. As the technology valuation may become a key issue for countries and industries, the development of technology valuation method has become increasingly important. Thus, this study aims to suggest a novel method to assess technology value by applying conjoint analysis to bibilographic information of patent. For this purpose, we firstly identified nine patent indexes categorized in three attributes - technological superiority, marketability and legal rights. Then, we collected actual data on patent transactions including their patent attributes and market prices. Based on the data, we could obtain the patent index values. Finally, we applied conjoint analysis to the prices and patent index values as a basis for technology valuation. The suggested method is expected to be an effective tool for technology valuation by using real transaction data rather than relying heavily on experts assessment.
This paper delineates dynamic capabilities, which can be measured by internal capability and external knowledge, and also, in the shape of dynamic capabilities, bases on that corporate actions are expatiated by fitness and rent of evolutionary perspective. To achieve the goal of this study, classifying types of Nano-technology enterprise and suggesting analytical pattern based on dynamic capabilities, this thesis substantially analyzes how to categorize a type of enterprise and gauge a result through a survey of 359 domestic companies producing goods concerned with Nano-technology. This paper analyzes whether or not the internal capability and external knowledge affect the outcome of a certain enterprise. Moreover, in according to the results of practical analysis, it deducts 2 new variables by applying principal component analysis on four previous variables showing the internal capability and external knowledge. By classifying four types of enterprises with criterion of these two factors based on a relative extent and comparing each typical financial result, this paper suggests that the companies with relatively higher level of the internal capability and external knowledge surpass the lower ones at the financial outcome. Not only this, but also the technology-level analysis shows the same result, the higher capability and knowledge the higher performance. However, the analysis based on the difference of the four types of financial outcomes reveals that technological and evolutionary fitness can determine financial achievement.
The purpose of this study was firstly, to explore the acceptability and acceptance intention of parents for smart animal toys and secondly, investigate whether there is a difference by sex and age. For this purpose, the questionnaire survey was conducted with 344 parents of younger children in Seoul and Gyeonggi Province. As a result, there were significant positive correlations among the relative advantage, aesthetics, social image of smart animal toys, the attitude of the new technology and the parents' acceptability. Whereas there were significant negative correlations among the acceptance risk and the parents' acceptability. The parents' acceptability showed differences in the relative advantages and social image according to the age of the parents and no significant difference according to purchasing experience of smart animal toys. These results indicated that the parents' acceptability and acceptance intention of smart animal toys were similar with the adoption process of innovative products or smart devices. And it was also informed that the most impact factors on parents' acceptance for smart toy were the relative advantage, social image, and the attitude of the new technology. This research will be useful in understanding parents purchasing intention of smart toys and provide valuable implication for smart toy companies, manufacturers, and developers.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.13
no.6
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pp.27-38
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2018
The purpose of this study is to find out common investment decision factors for CVC's invested technology-based startups and analyze them. We examined 17 CVCs that invested in technology startups for three years and six months from 2015 to June 2018. As a result, the final 9 CVCs that can be used in this study were confirmed and 188 companies were analyzed. This study was conducted as a case study to propose and demonstrate CVC investment objectives and investment decision factors analysis model. The results of this study are as follows. First, CVC focused on strengthening investment. Second, In 2015, Invested in an average of 19 months of technology-based startups. In recent years, we invested in 36 months of proven technology-based startups. Thirdly, ICT service was the main business type of the invested startups. Fourth, the investors were concentrated on the stage of Series A~B. It is observed that CVC investment determinants have a significant impact on product or service and parent company relations. In addition, it was found that factors such as innovation, business planning competency, enterprising, strategic competency, leadership, and opportunity recognition competency were influential factors for the startups of invested companies and it was found that these factors are important for CVC investment decision. Understanding of CVC investment determinants presented in this study is based on the establishment of the investment process of the investee, entrepreneurship and management education program. The results of this study can be applied to the selection of excellent startups, entrepreneurship education programs, mentoring, development of coaching guidelines, and establishment of investment process of other investment institutions when investing in CVC.
With the development of virtual and augmented reality technologies, the metaverse, a digital world that provides an immersive feeling like the real world, is overgrowing. Many IT companies such as Naver, Facebook (Meta), and NVIDIA are developing innovative technologies and launching the Metaverse platform and related products on the market. However, even though it is a new business in which many global big tech companies are aggressively investing, the results are not yet precise compared to the market expectations, and the rate of increase in the number of users is gradually slowing down. This can be attributed to the lack of consideration and understanding about how to grow the metaverse ecosystem and operate & harmonize various users/components from the time the metaverse platform was designed. In order to propose a better solution to these problems, this study adopts the yin-yang and five elements theory, which was created to understand the operation logic and logic of the human world for thousands of years. This research would like to propose a theory of double lines-five elements by defining two essential spaces of the metaverse platform, online and offline, and five essential elements constituting the metaverse platform. This study intends to provide a theoretical lens on how to design and operate a platform through the double lines and five elements theory and the concept of coexistence and polarity between the five elements.
Journal of the Microelectronics and Packaging Society
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v.30
no.2
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pp.1-12
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2023
In the current era of the global mobile smart device revolution, electronic devices are required in all spaces that people interact with. The establishment of the internet of things (IoT) among smart devices has been recognized as a crucial objective to advance towards creating a comfortable and sustainable future society. In-mold electronic (IME) processes have gained significant industrial significance due to their ability to utilize conventional high-volume methods, which involve printing functional inks on 2D substrates, thermoforming them into 3D shapes, and injection-molded, manufacturing low-cost, lightweight, and functional components or devices. In this article, we provide an overview of IME and its latest advances in application. We review biomimetic nanomaterials for constructing self-supporting biosensor electronic materials on the body, energy storage devices, self-powered devices, and bio-monitoring technology from the perspective of in-mold electronic devices. We anticipate that IME device technology will play a critical role in establishing a human-machine interface (HMI) by converging with the rapidly growing flexible printed electronics technology, which is an integral component of the fourth industrial revolution.
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