• The Journal of Society for e-Business Studies
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• v.21 no.4
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• pp.81-93
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• 2016

Internet of Things (IoT) has been established in various industries and IoT technology is highlighted as a new value creation technology. Especially, Korean government has launched Manufacturing Innovation 3.0 Strategy for developing Smart Factory concept to improve national and corporate's competitiveness. This study tries to present new industry classification scheme considering 10 national key manufacturing industries. Based on the new scheme, 10 national main forces industries are categorized into 6 segments. We have conducted SWOT analysis to comprehend Korean IoT environment. Based on the analysis, we have positioned 6 segments at the strategic decision-making grid to analyze industries' IoT practical usage.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.301-314
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• 2010

The digital content industry, purred by the growth of high technology content digitization is growing in demand for content technology. The development of the digital content industry and competitive technology ensure that superior digital content is essential. National policy development through business support enables the digital content industry to pursue technology development, transfer and trade, export and industrial use of digital content and value creation to maximize the time required for project. To this end, significant public and corporate funds to strengthen competitiveness for digital content on research and development. Companies perform research and development for effective decision-making, and invest in an archive to check the efficiency and soundness of technology valuation systems in place. This research studies the development of digital content, technology, and the old methods of technology commercialization to facilitate the growth and development of digital content throughout the business world. In order to assess the value of this support, a technology valuation framework has been developed and applied to this case to validate its usefulness.

• Journal of the Korea Safety Management & Science
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• v.12 no.4
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• pp.117-125
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• 2010

Today, many companies have introduced an ERP system - an enterprise resources planning - in order to improve corporate credibility through transparent management and for quick responses to market situations through quick decision making. After the construction of an ERP system, many companies are having difficulty in calculating the appropriate number of personnel required for running the system because of a lack of standard for doing so, as well as a lack of pertinent procedures. As a result, the companies are having to resort to a trial-and-error approach. Therefore this paper studied a model for calculating the appropriate number of personnel required for efficiently running an ERP system after its construction, as well as for constantly meeting its performance targets. The developed model was applied empirically to calculate an appropriate number of personnel required, and an organization was set up according to this. Therefore, the purpose of this study was to present an optimized model for calculating the number of personnel required for operating an ERP system, that which addresses problems of existing models, in order to help companies organize the operation personnel and its size, as well as to provide more objectivity to the calculated number of personnel required and to improve credibility.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.363-371
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• 2016

Technology evaluation for technology innovation of venture firms should take the rapidly changing corporate environment, the ambiguity of language used in evaluation, and the inaccuracy of evaluation index into consideration. In this paper, targeting the absorptive capacity and technological entrepreneurship which are typical evaluation factors of venture firms, an ACTEM model to calculate the importance, priority, and dynamic capability of factors, applying Fuzzy-AHP was proposed. The fuzzy theory was introduced to compensate for the ambiguity of cognitive judgments when calculating weighted values for the factors that made up an assessment scale. An assessment criteria framework for absorptive capacity, technological entrepreneurship, and dynamic capability, which were not considered in previous studies on the evaluation and measurement of technological prowess, so that the users could have a realistic alternative to choose. The study compared the ACTEM model with the old AHP assessment method and found that "knowledge acquisition" and "producing ability" were the highest in absorptive capacity and technological entrepreneurship, respectively, thus demonstrating its validity.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.207-220
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• 2021

Industrial convergence is manifested in various forms by various drivers, and understanding and categorizing the direction of convergence according to the factors in which the convergence occurs is an essential requirement for the establishment of a company's customized convergence strategy and the government's corporate support policy. In this study, the type of convergence is analyzed from the perspective of knowledge flow between heterogeneous technologies, and for this purpose, the result of topic modeling of the text information of the patent and the citation information of the corresponding patent allocated for each topic are used. The methodology presented through case studies in the medical device field is verified. Through the proposed methodology, companies can predict the flow of convergence and use it as decision-making data to create new business opportunities. It is expected that the government and research institutions will be usefully used as basic data for policy preparation.

• Journal of Climate Change Research
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• v.8 no.2
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• pp.91-97
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• 2017

Korean solar energy companies are currently suffering bankruptcy, receivership, liquidation of operation, lay-off or other similar event and most of the conglomerate are also downsized or discontinued operations in the industry. This study aims to assist Korean solar energy companies in making decision to overcome the current industrial crisis through looking into the Korean companies' growth, encounter with the crisis and strategies to survive. The main research topic in this study is a comparison between respective effect of M&A and restructuring on corporate value to understand such effects on solar energy companies. In this study, we utilized a variety of research methodologies, including dummy regression analysis, binary analysis of variance, analysis of cross addition to T-test was carried out empirical analysis. As a result, it seems that the companies who chose an M&A are facing a better situation in terms of survival and market share despite the ongoing crisis. Through this study, it could be found that, for a technology company, an M&A would be a better option than restructuring to grow and overcome a crisis.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.2
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• pp.274-287
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• 2019

Most corporations engage in Corporate Social Responsibility (CSR) activities. Consumers are aware of CSR activities in different domains and use the perception and evaluation in purchase decision making. This study reveals how the relationship between consumer perception about a fashion corporation's CSR activities and product evaluation (such as perceived expertise and attractiveness) affects behavioral intention. This study discussed implications for store designs depending on whether it is actively engaging in CSR communication. Two virtual fashion store images of modern or eco design were used as stimuli. The study was conducted from July to August, 2018 based on women in their 20s and 30s. We collected 154 eco designs and 157 modern design responses. The findings of the study show that consumer perceptions of CSR activities affected perceived expertise and attractiveness. Further, perceived expertise and attracti-veness led to purchase intention and time spent in the store. The store design variation had no differences in mean values of consumer perception; however, evaluation and purchase intention indicated that a varied store design emphasized different corporation capabilities.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.2
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• pp.102-114
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• 2021

NDF (No Defect Found) is a phenomenon in which defects have been found in the manufacturing, operation and use of a product or facility, but phenomenon of defects is not reproduced in the subsequent investigation system or the cause of the defects cannot be identified. Recently, with the development of the fourth industrial revolution, convergence of hardware and software technologies in various fields is spreading to products such as aircraft, home appliances, and mobile devices, and the number of parts is increasing due to functional convergence. The application of such convergence technologies and the increase in the number of parts are major factors that lead to an increase in NDF phenomena. NDF phenomena have a significant negative impact on cost, reliability, and reliability for both manufacturers, service providers and operators. On the other hand, due to the nature of NDF phenomena such as difficult and intermittent cause identification and ambiguity in judgment, it is common to underestimate the cost of NDF or fail to take appropriate countermeasures in corporate management. Therefore, in this paper, we propose a methodology for estimating NDF costs by the PAF model which is a quality cost analysis model and ABC (Activity Based Costing) technique. The methodology of this study suggests a detailed procedure and the concept to accurately estimate the NDF costs, using ABC analysis, accounting system information, and IT system data. In addition case studies have validated the methodology. We think this could be a valid methodology to refer to when estimating the cost of other parts. And, it is meaningful to provide important judgment information in the decision-making process based on quality management and ultimately reduce NDF costs by visualizing them separately by major variable factors.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.361-374
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• 2021

The purpose of this study is to analyze the efficiency and productivity of technological innovation activities of companies certified as innovative pharmaceutical companies by the government to diagnose their competitiveness and derive measures to strengthen them. This study collected pharmaceutical input (R&D expenditures and number of employees) and output (sale, operating profit and patent) data between 2017 and 2019 for 38 innovative pharmaceutical companies. This study analyzed them using the data envelopment analysis (DEA) method, Tobit model and the Malmquist Productivity Index (MPI). First, the DEA result of the innovative pharmaceutical companies show that between the value of the CCR model of the scale efficiency and the value of the BCC model to diagnose the internal operation efficiency is differences. Second, efficiency does not differ between corporate characteristics. Third, Tobit model shows that number of patents held have positive effects on efficiency. Forth, overall MPI is 0.89. This can be interpreted as the rate of TECI decreased 3%p and TCI has increased 4%p. The results of this study can be used as decision-making data for response strategies to improve efficiency by identifying the cause of inefficiency and presenting target values.

• The Journal of Bigdata
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• v.7 no.1
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• pp.139-171
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• 2022

Big Data and the fourth industrial revolution are the first revolution that has not spawned a new form of energy but has triggered a new technological phenomenon called digitization. Digital transformation has caused disruptive innovation, and each country and major corporations need to respond to it. Despite this importance, empirical studies at home and abroad are insufficient. Therefore, in this study, factors affecting the promotion of corporate digital transformation were discovered through literature review, and a research model was developed and empirically analyzed by modifying and supplementing it through a Delphi study. The research model was composed of the main standards such as technology, innovation, organization, and environment and 17 sub-standards by combining the IDT and TOE models. In order to empirically analyze this, the AHP decision-making technique was used for experts in domestic digital transformation promotion companies and business partners. Companies that promote digital transformation will be able to increase the chances of achieving successful digital transformation if they take into account the factors that influence the digital transformation promotion according to the characteristics of the type of industry and company size of the group to which the company belongs.