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

• Journal of Industrial Convergence
• /
• v.20 no.12
• /
• pp.145-153
• /
• 2022

This study is an empirical analysis of the major factors influencing the globalization level of Chinese public enterprises. Based on previous research, we conducted a regression analysis using the transnational index as a dependent variable and export tax refund, exchange rate, human resources, innovation ability, asset management ability, loan ability, corporate development stage, global deployment ability, etc. as independent variables. As a result of the empirical analysis of this study, it was found that export refund (E_tax) and exchange rate (E_rate) have a statistically significant effect on the external influencing factors of globalization. Human resource capabilities (Edu, O_hunan), innovation capability (R&D), and financing capability (Finance) were found to be important internal influencing factors for the globalization of public enterprises. The role of the government in establishing the strategy of SOEs should be maintained at the level of guidance and it should provide guidance so that the autonomy of SOEs is not restricted as the role of the government is separated from the government's compulsory management and supervisory functions, leading to excessively compulsory management.

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

• Journal of Venture Innovation
• /
• v.4 no.2
• /
• pp.43-55
• /
• 2021

Based on the modifier 'K', the Republic of Korea has been drawing attention from around the world in various fields. Therefore, if you look at a representative field, it can be called the beauty, that is, the cosmetics industry. In particular, paying attention to the fact that interest in appearance has been increasing in recent years, regardless of age or gender, we intend to explore ways to create competitiveness in the industry. In particular, from this perspective, we tried to deal with the company case of AMOREPACIFIC, one of Korea's leading cosmetic companies, and seek the direction of development through analysis of corporate competitiveness. Therefore, as an analysis method for this study, we tried to subdivide and examine the factors that have been possible for a company to succeed using the diamond model of Michael Porter. Based on the factors derived after that, we intend to present the direction for the company to discharge in the future.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.46 no.spc
• /
• pp.19-30
• /
• 2023

Recently, the government has provided support such as entering new markets, expanding sales channels, and supporting manpower, not just in the form of funding, to efficiently and effectively support limited national resources to improve corporate performance. In this study, we tried to find out the effect of government support for companies that have benefited from the Excellent Technology Research Center Project (ATC Project) and the World Class 300 project using propensity score matching. As a result of the analysis, the effect of government support for the ATC project became visible after the appointment period, while the effect of the World Class 300 project was insignificant. This means that when the size of the company is small, the effect of government support is more pronounced. This suggests that in order to maximize the effectiveness of government support, appropriate national policy interventions such as government innovation funding are needed when the size of the company is small. In this study, differences in the timing, performance indicators, and company size of policy support effects were found in the growth stage of a company from a mid- to long-term time series perspective, suggesting that support policies based on this need to be adjusted and redesigned.

• Journal of Information Technology Services
• /
• v.23 no.3
• /
• pp.17-37
• /
• 2024

This study explores the tendency of corporations and organizations to continue with their current processes despite having incentives for better Information Technology (IT) innovation or transition. In this context, the study argues that organizations may struggle with 'outsourcing inertia,' a well-known concept referring to an organization's deficient adaptability to environmental changes, particularly defined here as the organization's slow adaptation to changes in outsourcing levels. To verify this, the study analyzes how key variables identified from existing IT Outsourcing (ITO) decision-making research and recent studies on cloud computing transitions actually affect a firm's transition intentions. In the process, this study investigates the moderating effect of a firm's outsourcing inertia, utilizing the Technology-Organization-Environment (TOE) framework and the Push-Pull-Mooring (PPM) model based on migration theory to propose a research model. The study aims to contribute to finding strategic approaches necessary for facilitating IT innovation and transition by understanding the impact of outsourcing inertia on the decision-making process related to IT outsourcing. It is important to note that the majority of domestic conglomerates own IT subsidiaries, which significantly influence the process of transitioning to cloud computing. Nevertheless, research on the impact of IT subsidiaries on cloud computing transition is relatively scarce. Based on this background, this study proposes that IT subsidiaries within domestic conglomerates can act as a significant mooring factor of organizational inertia in the decision-making process for adopting cloud computing. Through this, the study seeks to provide strategic insights for overcoming organizational inertia faced by IT subsidiaries during the cloud computing transition process.

• Journal of Information Technology Applications and Management
• /
• v.16 no.2
• /
• pp.1-21
• /
• 2009

The balanced scorecard(BSC) framework is a tool for strategic decision making and task support that aims for efficiency in performance management and strategy execution. BSC evolved from an old performance management practice, which tended to be limited to a finance-only perspective, to a new system of corporate management looking at corporate tasks from a multi-dimensional, future-inclined value perspective. This form of BSC amounts to a framework capable of driving management innovation and renewing the ways in which companies conceive their strategy and perform their operations. Since BSC draws integrally on user participation, it can be expected that users' satisfaction with BSC systems is an important factor in systems' success or failure. However, previous studies of the BSC system have not yet considered it as a theoretical model, specifically examining BSC system and task characteristics. To date, only a few studies have put forward plans for the implementation and use of BSC systems, and these studies have the common limitation of failing to consider the circumstances or theoretical structure of the companies for which a BSC system is being proposed. This paper then begins to fill some of this gap by characterizing the BSC system from the perspective of contingency theories. Contingency theories can be particularly useful in the Korean context in exploring how different companies use the BSC system in ways determined by their unique environmental characteristics, which may also determine the performance factors behind the application of a company's particular BSC system. In order to provide concrete suggestions for implanting and using the BSC system from a contingency theory perspective, this study sets out to determine the relationships between the contingency variables affecting BSC system performance and BSC system property variables(in given cases) through an empirical analysis. The study takes into account the perspective from which contingency theory is to be applied in individual cases, sets contingency and BSC property variables with reference to the BSC system user's environment and BSC system's character, and frames initial hypotheses concerning corporate structure and environmental variables and BSC system performance variables with reference to previous studies. A survey was then conducted on users in Korean companies that have implemented the BSC system in order to verify the research model and understand results.

• Science of Emotion and Sensibility
• /
• v.19 no.1
• /
• pp.39-48
• /
• 2016

This research aims to identify innovative companies' attention to the emotion and sensibility and its application by analyzing the contents of the corporate annual reports. Annual report is a good reference data because it describes not only various current products and services' annual activities and business performance but also corporate future direction. Sensibility is interpreted and used with various words internationally: various related terms such as sensibility, sense, emotion, feeling and affection are analyzed not only by the definition but also the interrelationship among them, and included for the contents analysis. To select the innovative companies, the researcher used 'Fast company' that is the economic journal and deducted the companies list via 'The world's 50 most innovative companies' in 2009 and 2014. Listed companies' 2009 and 2014 annual reports' contents were analyzed to identify the rate of the recognition and the application of sensibility to their business. Even though the quantitative result of the content analysis indicates not a strong relationship between corporate innovativeness and 'sensibility' qualitative result identifies companies are paying more attention to the 'sense' and 'feeling' during five years. In conclusion, the innovation that company pursues strategically is shifting from differentiation and the technological leadership to satisfying user experiences and the number of companies which express and measure user feeling and emotions are increasing.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.24 no.1
• /
• pp.89-95
• /
• 2024

Nowadays, the competitiveness of a company depends on the ability of all organizational members to share and utilize the organizational knowledge accumulated by the organization. As if to prove this, the world is now focusing on ChetGPT service using generative AI technology based on LLM (Large Language Model). However, it is still difficult to apply the ChetGPT service to work because there are many hallucinogenic problems. To solve this problem, sLLM (Lightweight Large Language Model) technology is being proposed as an alternative. In order to construct sLLM, corporate data is essential. Corporate data is the organization's ERP data and the company's office document knowledge data preserved by the organization. ERP Data can be used by directly connecting to sLLM, but office documents are stored in file format and must be converted to data format to be used by connecting to sLLM. In addition, there are too many technical limitations to utilize office documents stored in file format as organizational knowledge information. This study proposes a method of storing office documents in DB format rather than file format, allowing companies to utilize already accumulated office documents as an organizational knowledge system, and providing office documents in data form to the company's SLLM. We aim to contribute to improving corporate competitiveness by combining AI technology.

• International Journal of Quality Innovation
• /
• v.9 no.2
• /
• pp.99-117
• /
• 2008

High-tech industry has been the principal economic source for Taiwan in recent years. The characteristics of high-tech industries in Taiwan are changeable product markets, short product life cycles and high company attrition rate. In the globalization trend, the high-tech industry has gradually increased corporate competitiveness and reached the goal of sustainable operations through knowledge management, knowledge sharing and new product research and development. Firms have aggressively strengthened and integrated their internal and external resources and enhanced knowledge sharing to increase industry operational performance. Effectively strengthening the knowledge management operation and performance evaluation of knowledge sharing in Taiwan's high-tech industry has become a critical issue. In the selection of knowledge sharing Key Performance Indicators (KPI), this research divided the knowledge sharing indicators into representative strategic indicators such as organizational knowledge learning, organizational knowledge resources, organizational information capacity and organizational knowledge performance through screening using Factor Analysis. The characteristics of the constructs were interdependent. This research calculated and adjusted the correlation among the key performance knowledge sharing indicators using ANP and determined the relative weight of knowledge sharing.