• Journal of Korea Society of Digital Industry and Information Management
• /
• v.17 no.3
• /
• pp.105-119
• /
• 2021

The purpose of this study is to examine the organizational politics, resistance change, turnover intention, and organizational commitment of organizational members during mergers and acquisitions. Recently, many companies are interested in mergers and acquisitions for business diversification and market extension. A merger is a legal consolidation of two entities into one, whereas an acquisition occurs when one entity takes ownership of another entity's stock, equity interests, or assets. This research model establishes a structural equation model. This model is set in a causal relationship between manager's organizational politics, peer organizational politics, and change resistance and the change resistance has a causal relationship of turnover and tissue immersion. In particular, this study will test different of organizational politics by position. Research results, the organizational politics of managers and colleagues have shown increasing change resistance. The change resistance has resulted in a reduction of organizational commitment and an increase of turnover intention. Next, the position analysis showed that top management level, middle management level, and working-level officials showed different organizational politics. The working-level officials are influenced by their manager politics and are influenced in organizational commitment and turnover intention by change resistance. The middle manager level is influenced by the organizational politics of bosses and colleagues, and organizational commitment is weakened by change resistance. The CEO level is not affected by organizational politics in the company, but the turnover intention is strengthened and the organizational commitment is weakened by the change resistance. This study has contributed to further updating the theory of organizational politics based on mergers and acquisitions. As a practical implication, we suggest an organizational integration strategy for a new organization.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.30 no.2
• /
• pp.33-50
• /
• 2019

Cataloging principles, cataloging rules, and encoding formats should considered LRM acceptance because LRM replaced FRBR as the conceptual model. This study identifies considerations for BIBFRAME acceptance of expression and representative expression attributes in LRM by using literature reviews and expert interviews. Primarily, work in BIBFRAME without expression as entity could map to work and expression of LRM and sustain expression by linking 2 works (work and expression). Second, BIBFRAME must consider association between representative expression attributes and specific expressions whose values can be transferred to the representative expression attributes. Third, representative expression attributes are different according to work types in LRM, and language, media, intended audience, and scale, that can be used as representative expression attributes in BIBFRAME, should be changed in class. Fourth, relation properties should be articulated for expanding networks between expressions originated from work in BIBFRAME. This study analyzes LRM and BIBFRAME by focusing on expression entity and representative expression attributes. More LRM study is needed on cataloging principles and cataloging rules.

• Journal of the Korean Society for information Management
• /
• v.36 no.2
• /
• pp.175-199
• /
• 2019

Uncertainty means incomplete stages of knowledge of propositions due to the lack of consensus of information and existing knowledge. As the amount of academic literature increases exponentially over time, new knowledge is discovered as research develops. Although the flow of time may be an important factor to identify patterns of uncertainty in scientific knowledge, existing studies have only identified the nature of uncertainty based on the frequency in a particular discipline, and they did not take into consideration of the flow of time. Therefore, in this study, we identify and analyze the uncertainty words that indicate uncertainty in the scientific literature and investigate the stream of knowledge. We examine the pattern of biomedical knowledge such as representative entity pairs, predicate types, and entities over time. We also perform the significance testing using linear regression analysis. Seven pairs out of 17 entity pairs show the significant decrease pattern statistically and all 10 representative predicates decrease significantly over time. We analyze the relative importance of representative entities by year and identify entities that display a significant rising and falling pattern.

• Journal of Convergence for Information Technology
• /
• v.9 no.7
• /
• pp.67-77
• /
• 2019

Many small and medium-sized enterprises are deploying Smart Factory without due consideration of the circumstances in which the entity is in or outside of the entity, such as environmental changes and the capabilities of its members. Therefore, utilization and effectiveness are also low after deployment. This study verifies 'the establishment of a Smart Factory through the environmental factors and absorption capabilities of small businesses' through empirical research. The survey was received by people working for small and medium-sized companies that have established Smart Factory. The results of the study showed that first, environmental factors within and outside the company had a positive effect on the absorption capacity within the company. Second, the absorption capacity within a company has had a positive effect on the deployment of a Smart Factory. Based on the above proof, it has been proved to be effective if the core areas of the Smart Factory are built on the basis of the company's internal and external environmental factors and absorption capabilities when constructing Smart Factory in small businesses. In the future, we will study the achievements of smart factory construction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.05a
• /
• pp.901-904
• /
• 2014

As sensing techniques have advanced, context-aware technologies have been developed under the various domain for each different purpose. The number of services were created and are being used actually, but the services for specific spatial domain are not adequate yet. To solve this, there have been many efforts, and some of them were actually successful. Among them, the methods which used ontology-based inference were relatively reliable and appropriate for context-aware system, but not able to support contexts for individual without complex rules. In this paper, current scope of context inference is extended from user-oriented context modeling to entity-oriented. Furthermore, we used user profile and home profile to provide more specific context information of not only each individual but entity.

• Journal of the Korean Society for information Management
• /
• v.36 no.1
• /
• pp.73-94
• /
• 2019

The purpose of this study is to investigate the quality of service that affects satisfaction of special library users and to suggest ways to improve the function and role of special library. The data were collected by survey and interview method conducted with 111 library users in 6 local research institute using modified questionnaires based on LibQUAL+. The results revealed that human quality factor had more influence on library service satisfaction than space and information quality factor. Also, there were statistically significant influence between library service satisfaction and three sub service factors, such as service attitude, space convenience, and information usability. The interviewers indicated problems of special library service in lack of data, inactivation of digital data, space problem, data sharing problem, and lack of experts. Finally this study proposed several suggestions to improve service quality of special library of local autonomous entity research institution.

• Asia-Pacific Journal of Business
• /
• v.11 no.4
• /
• pp.205-224
• /
• 2020

Purpose - This study aimed to identify the effects of ownership structures on agency costs in internationally diversified firms listed on the KOSDAQ market. Design/methodology/approach - A total of 5,824 samples were finally selected and empirically analyzed for a total of nine years from 2011 to 2019, during which the International Accounting Standards had been mandatory for firms listed on the KOSDAQ market. Findings - The results of this study showed that the effects of ownership structures on the ratio of asset turnover are positive for the major share and foreign equity ratios of international diversified firms. Moreover, by selecting the ratio of entertainment expenses as a proxy for agency expenses, this study confirmed that the effects of the ownership structure of an international diversified entity on entertainment expenditure were determined to show a significantly negative relation to entertainment expenditure, thus indicating that the higher the ratio of major shareholders, the more appropriately control the expenditure of entertainment expenses through arbitrary private deviations of the management.Furthermore, considering the effect of the ownership structure on the expenditure of sales and administrative expenses as a proxy variable for agency costs, this study verified that the majority share ratio of international diversified firms was negative to the expenditure of sales and administrative expenses, confirming that the higher the share of major shareholders, the lower the selling and administrative costs, but insignificant.Finally, as a result of determining whether the ownership structure of an international diversified firm affects the holding of free cash, the majority share of this firm shows a significantly negative relation to the ratio of the holding of surplus cash, indicating that the higher the proportion of major shareholders, the more appropriately control the holding of the entity's free cash through arbitrary private deviance by the manager. Research implications or Originality - Major shareholders of an internationally diversified firm listed on the KOSDAQ market play a positive role in the firm's performance by properly controlling agency costs that may be incurred by the management.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.11 no.2
• /
• pp.13-26
• /
• 2001

This paper presents the network security modeling methodology and simulation using the hierarchical and modular modeling and simulation framework. Recently, Howard and Amoroso developed the cause-effect model of the cyber attack, defense, and consequences, Cohen has been proposed the simplified network security simulation methodology using the cause-effect model, however, it is not clear that it can support more complex network security model and also the model-based cyber attack simulation. To deal with this problem, we have adopted the hierarchical and modular modeling and simulation environment so called the System Entity Structure/Model Base (SES/MB) framework which integrates the dynamic-based formalism of simulation with the symbolic formalism of AI. Several simulation tests performed on sample network system verify the soundness of our method.

• KIPS Transactions on Software and Data Engineering
• /
• v.10 no.11
• /
• pp.465-472
• /
• 2021

In this paper, we present an approach for detection of adverse drug reactions from drug reviews to compensate limitations of the spontaneous adverse drug reactions reporting system. Considering negative reviews usually contain adverse drug reactions, sentiment analysis on drug reviews was performed and extracted negative reviews. After then, MedDRA dictionary and named entity recognition were applied to the negative reviews to detect adverse drug reactions. For the experiment, drug reviews of Celecoxib, Naproxen, and Ibuprofen from 5 drug review sites, and analyzed. Our results showed that detection of adverse drug reactions is able to compensate to limitation of under-reporting in the spontaneous adverse drugs reactions reporting system.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.2
• /
• pp.15-23
• /
• 2022

In the field of patents, as NLP(Natural Language Processing) is a challenging task due to the linguistic specificity of patent literature, there is an urgent need to research a language model optimized for Korean patent literature. Recently, in the field of NLP, there have been continuous attempts to establish a pre-trained language model for specific domains to improve performance in various tasks of related fields. Among them, ELECTRA is a pre-trained language model by Google using a new method called RTD(Replaced Token Detection), after BERT, for increasing training efficiency. The purpose of this paper is to propose KorPatELECTRA pre-trained on a large amount of Korean patent literature data. In addition, optimal pre-training was conducted by preprocessing the training corpus according to the characteristics of the patent literature and applying patent vocabulary and tokenizer. In order to confirm the performance, KorPatELECTRA was tested for NER(Named Entity Recognition), MRC(Machine Reading Comprehension), and patent classification tasks using actual patent data, and the most excellent performance was verified in all the three tasks compared to comparative general-purpose language models.