We tried new analysis including social network analysis(SNA) on the transaction network centered on electronic companies using more than 50 thousand company transaction data obtained from Korean enterprise data (KED) for the year of 2015. We found 97 clusters having more than 10 firms and remarkable 13 clusters having more than 90% sales of the electronic industry in Korea. Clusters are the groups of companies having most of their transactions in the clusters they belong to. We found 5 clusters have 83% of sales in the electronic industry. Most of clusters have main single firms having most of the sales in each clusters except a few clusters. However, we found a few firms to have high rear production linkage effect and found the firms with high linkage effect specially for the small and medium size enterprise (SME). The companies with high production linkage (specially on SMEs) should be managed in terms of (SME) growth policy. The last firm group consisting of the small clusters with less than 10 firms has high employment coefficients. The clusters or company having high production linkage effect on this last firm group should be noted in the terms of employment policy. We also note that there exist the firms with the high value of betweenness coefficients meaning high potential of technology development. They should be managed carefully in terms of technology development policy.
The Fourth Industrial Revolution brought the quantitative value of data across the industry and entered the era of 'Big Data'. This is due to both the rapid development of information & communication technology and the diversity & complexity of customer purchasing tendencies. An enterprise's core competence in the Big Data Era is to analyze and utilize the data to make strategic decisions for enterprise. However, most of traditional studies on Big Data have focused on technical issues and future potential values. In addition, these studies lacked interest in managing the quality and utilization levels of internal & external customer Big Data held by the entity. To overcome these shortages, this study attempted to derive influential factors by recognizing the quality management information systems and quality management of the internal & external Big Data. First of all, we conducted a survey of 204 executives & employees to determine whether Big Data quality management, Big Data utilization, and level management have a significant impact on corporate work efficiency & corporate management performance. For the study for this purpose, hypotheses were established, and their verifications were carried out. As a result of these studies, we found that the reasons that significantly affect corporate management performance are support from the management class, individual innovation, changes in the management environment, Big Data quality utilization metrics, and Big Data governance system.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.12
no.4
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pp.35-46
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2017
The purpose of this study is to identify the characteristics of entrepreneurs and organizations related to the initial investment stage of IT-based entrepreneurs. Specifically, we examine the effects of founder-related characteristics such as background and experience of founders on the initial investment stage and explore how the organizational characteristics such as finance, human, and technology resources affect initial investment of start-up enterprise. To accomplish this study purpose, a questionnaire survey was conducted on entrepreneurs who were actually invested by government, angel, and VC. A total of 295 data were used for hypothesis testing, and the hypothesis was tested by hierarchical regression analysis. As a result of the study, it was found that founders who had experience of investment before or experienced in technology development had a significant influence on initial investment stage. In addition, it was confirmed that factors such as financial, human, and technology resources had significant positive effects on the initial investment stage. The results of this study make it possible to identify the competencies and characteristics required to attract investment to potential founders preparing for start-up in the future. It also provides information on how to formulate an effective human resource composition plan. Also, these results can be used as a basis for investment decision-making by providing investors with guidelines on investment selection criteria.
Journal of Information Technology and Architecture
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v.11
no.1
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pp.1-10
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2014
From 2004 to 2013, the annual investment for the ICT sector in Korea amounted to about 3.2 trillion won. Depending on whether the government policy allowed for budget increases and/or decreases, this impacted the investment in the ICT sector. In particular, the fixed costs of operation and maintenance lead to a reduced chance for a new potential demands in IT programs. Even though a situation may exist that there are insufficient funds available, there is a need for building a sustainable long-term IT investment management system. The purpose of this study is to conduct basic research for the arrangement of preparation to meet IT needs required in the public sector. For this, this paper introduces the concept of IT Investment Management based on prudent forecasting. After both foreign and domestic relevant cases are reviewed, implications will be derived from the aforementioned cases. Through this process, the direction of IT Investment Management based on forecasting for the IT projects decision making will be suggested. These research results could be used for helping to develop better policies and a more efficient management of the public sector IT budget.
In a customer-based industry, customer retention is the competitiveness of a company, and improving customer retention improves the competitiveness of the company. Therefore, accurate prediction and management of potential dormant customers is paramount to increasing the competitiveness of the enterprise. In particular, there are numerous competitors in the domestic card industry, and the government is introducing an automatic closing system for dormant card management. As a result of these social changes, the card industry must focus on better predicting and managing potential dormant cards, and better predicting dormant customers is emerging as an important challenge. In this study, the Recurrent Neural Network (RNN) methodology was used to predict potential dormant customers in the card industry, and in particular, Long-Short Term Memory (LSTM) was used to efficiently learn data for a long time. In addition, to redefine the variables needed to predict dormant customers in the card industry, Unified Theory of Technology (UTAUT), an integrated technology acceptance theory, was applied to redefine and group the variables used in the model. As a result, stable model accuracy and F-1 score were obtained, and Hit-Ratio proved that models using LSTM can produce stable results compared to other algorithms. It was also found that there was no moderating effect of demographic information that could occur in UTAUT, which was pointed out in previous studies. Therefore, among variable selection models using UTAUT, dormant customer prediction models using LSTM are proven to have non-biased stable results. This study revealed that there may be academic contributions to the prediction of dormant customers using LSTM algorithms that can learn well from previously untried time series data. In addition, it is a good example to show that it is possible to respond to customers who are preemptively dormant in terms of customer management because it is predicted at a time difference with the actual dormant capture, and it is expected to contribute greatly to the industry.
Franchise system in Korea has been developed in different way compared with American way of franchising based on mutual contract and intellectual property context. Korean franchising is mostly based on product distribution franchise concept rather than business format franchise in which franchisor makes revenue sources from providing their products as much as possible thru group purchasing and logistics rather than receiving royalty. Many franchise enterprises from Korea drive to enter into global franchise market based on the successful performance of Korean way of franchising. Korean enterprises are required to prepare completely for research and survey regarding local culture, custom, way of life and legal matters etc. when entering into global franchise market to gain a substantial performance. CaffeBene recently entered into American franchise business with success, and many other Korean franchise enterprises have a deep interest in proceeding with global franchise business modeling CaffeBene case. There is no Korean franchise enterprise in United Kingdom in which service franchise area in particular with personal service is considered to become a promising and potential franchise business and many people show a great interest in Oriental foods and beverages with well-being trend. Korean franchise enterprises have now access to United Kingdom easier because IT industry including internet of the country have been developed by leaps and bounds since London Olympic in 2012. The purpose of this study is to suggest key success factors and basic strategy such as situation analysis, selecting business format, and marketing strategy for successful launching of franchise business in United Kingdom.
The Journal of Economics, Marketing and Management
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v.7
no.1
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pp.1-14
/
2019
Purpose - Currently, the economic globalization has become a common channel for China's enterprise to perform the international economic activities. Due to this background, this paper tries to analyze the influence of internationalization level on operation performance of enterprises. Research design, data, and Methodology - This paper aims at 296 companies going listed in Shanghai Stock Exchange and Shenzhen Stock Exchange. The data about the listed companies during the 12 years from 2005 to 2016 have been collected. Relevant theories, including the theory of comparative advantage, monopolistic advantage and product life cycle in developed countries as well as the small scale technology and state on localized technological capacities in developing countries, have been summarized to provide theoretical basis for the influence of international operation on operation performance of the enterprises. Moreover, the current status of international operation of China's enterprises, including the dynamic cause of the internationalization of China's enterprises, its competitive advantage and disadvantage as well as the interest and potential risk of the internationalization, have been also analyzed. Results - Via adopting the panel data to conduct an empirical analysis, It can be found that the relationship between international operation level and operation performance of China's enterprises can be expressed as the S-curve of declining, rising and declining again. Conclusions - This paper has taken the lead in using Ohlson corporate value model to fill the gap in the relevant researches in China. It can also provide guidance for the international operation of China's enterprises. Meanwhile, the two systems for international operation and performance evaluation index have been put forward. The performance of international operation can be classified as financial performance or corporate value so that the operation effect of those China's enterprises going abroad can be better evaluated.
The purpose of this study is to examine the unique characteristics of the Korean academic system with regard to brain circulation, with a specific emphasis on the influence of overseas-trained academics on research activities within the Korean academic system. We have analyzed the statistical data on individual characteristics and performances of 48,499 Korean academics in science and engineering. We have examined the results at both the system and individual levels within the broader context of the macro characteristics of the Korean academic system. Our analysis reveals that the total number of domestically-trained academics exceeds the number of overseas-trained academics. However, in terms of research funding, overseas-trained academics tend to receive more funding than domestically-trained academics. Furthermore, after controlling other factors such as funding, personal attributes, and environmental factors, our analysis demonstrates that overseas training has a significant and favorable impact on the publication of internationally renowned journals. As such, the presence of overseas returnees has been essential for the effective functioning of the Korean academic system in the global research network and for conducting high-quality academic research. Therefore, the advantages of dependence on scientific core countries such as the US for overseas training have persisted. Nevertheless, upon scrutinizing the group of recently appointed 5,806 academics exclusively, we have discovered that junior academics who received their education domestically exhibit sufficient academic proficiency compared to their colleagues educated overseas. This observation highlights the potential for the Korean academic system to evolve into a self-sustaining system.
International journal of advanced smart convergence
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v.9
no.3
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pp.105-117
/
2020
The "New Korean Wave" (Shin Hallyu) phenomenon, which is represented by the global popularity of BTS and director Bong Joon-ho's film "Parasite," is making the world excited. The influence of the Korean Wave is not only on politics, society, and culture, but it also has considerable economic ripple effects. We applied individual in-depth interviews with seven media and marketing experts in China to assess the changes in the impact of Korean cultural content (i.e., Hallyu content) and examine the possibility of marketing for Korean small and medium-sized enterprises (SMEs) products using Hallyu content. Considering its massive market potential, China is still an attractive target for Korean companies and is of even greater importance to SMEs, which are highly dependent on exports and lacking marketing budgets as well as a professional workforce. Korean businesses and the economy at large would get a real boost if they could penetrate the Chinese market by utilizing the strength of Hallyu content. Based on the results of the in-depth interviews, the conclusion of our study suggests the direction of advertising strategy on how Korean products can attract the minds of Chinese consumers by utilizing the Shin Hallyu. This research is a practical study that diagnoses the reality of the Korean Wave in China objectively and has excellent practical implications as it proposes methods of how SMEs should use Hallyu for their marketing strategies.
This investigation delves into the adverse repercussions stemming from the impact of arsenic on steel pipes concealed within soil designated for rice cultivation. Simultaneously, the study aims to ascertain effective techniques for detecting arsenic in the soil and to provide strategies for mitigating the corrosion of steel pipes. The realm of nanotechnology presents promising avenues for addressing the intricate intersection of renewable energy, oil, and environmental pollution from a novel perspective. Nanostructured materials, characterized by distinct chemical and physical attributes, unveil novel pathways for pioneering materials that exert a substantial impact across diverse realms of food production, storage, packaging, and quality control. Within the scope of the food industry, the scope of nanotechnology encompasses processes, storage methodologies, packaging paradigms, and safeguards to ensure the safety of consumables. Of particular note, silver nanoparticles, in addition to their commendable antibacterial efficacy, boast anti-fungal and anti-inflammatory prowess, environmental compatibility, minimal irritability and allergenicity, resilience to microbial antagonism, thermal stability, and robustness. Confronting the pressing issue of arsenic contamination within both environmental settings and the food supply is of paramount importance to preserve public health and ecological equilibrium. In response, this study introduces detection kits predicated upon silver nanoparticles, providing an expeditious and economically feasible avenue for identifying arsenic concentrations ranging from 0.5 to 3 ppm within rice. Subsequent quantification employs Hydride Atomic Absorption Spectroscopy (HG-AAS), which features a detection threshold of 0.05 ㎍/l. A salient advantage inherent in the HG-AAS methodology lies in its capacity to segregate analytes from the sample matrix, thereby significantly reducing instances of spectral interference. Importantly, the presence of arsenic in the soil beneath rice cultivation establishes a causative link to steel pipe corrosion, with potential consequences extending to food contamination-an intricate facet embedded within the broader tapestry of renewable energy, oil, and environmental pollution.
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