• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.1
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• pp.183-190
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• 2012

Mobile web applications are different from desktop web applications because of their small screen size and small user input devices. Therefore user interface designers have spent their effort and time to re-design the user interface of mobile web applications to meet these differences. In this paper, we introduce five user interface patterns for mobile web applications to reduce their effort and time. Two of them are for utilizing small screen size efficiently, and they are space overloading pattern and data filtering pattern. These patterns enable designers to reduce screen usage. The other three patterns - data suggestion pattern, input reuse pattern, and incremental data input pattern - are for helping users' data input on mobile devices. These three patterns enable users to reduce direct data input. Our work will help user interface designers develop mobile web interface to utilize screen space efficiently and get data with less errors and less efforts from users.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.719-725
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• 2021

The main purpose of the study is to determine the main aspects of information support for anti-crisis management in the context of ensuring national security. In modern conditions, under the influence of COVID-19, it becomes important to develop a modern paradigm for the transformation of anti-crisis management, based on the determination of the laws of state development on the basis of the imperative of national interests and territorial integrity. These are, firstly, the patterns of development of the state system of public administration, secondly, the patterns of development of a complex of state interests, and thirdly, patterns of development of the modern model of the country's territorial integrity. As a result of the study, the key aspects of the anti-crisis management system were identified in the context of ensuring the security of national interests.

• Korea Journal of Hospital Management
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• v.23 no.3
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• pp.63-71
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• 2018

The purpose of this study is to explore how the organizational structure of hospitals affects the pattern of conflicts between human resources at hospitals and then to present basic data necessary for conflict resolution. Research data were collected from the personnel of 14 hospitals in P city in Korea. The findings of the study are summed up as follows. First, administrative workers and with fewer years of service thought of the organizational structure as organic. Second, organizational conflict was found to be higher in those at older ages, with more years of service and in middle management positions. Next, as for conflict patterns between occupation types, nurses showed more conflicts with doctors and administrative workers, while administrative workers and public health personnel had more conflicts with nurses. Last, of the organizational structure factors, 'Subdivision of work,' 'Decision making method,' 'Opinion collection process,' 'Codification of responsibilities and rights' and 'Documentation of duties' were found to have negative effects on conflict patterns. Therefore, the findings imply that for decrease in organizational conflicts, hospitals need to be reorganized to have a more organic structure and take such differentiated measures for conflict resolution that consider characteristics of human resources, such as one's age, years of service and position.

• The Korean Journal of Financial Management
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• v.26 no.4
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• pp.141-163
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• 2009

Using the extensive datasets, I analyze the effect of tick size changes on the intraday patterns of spread and depth. I show that intraday variations in spread (depth) are greater (smaller) with smaller tick size during the early hour of trading and become smaller (larger) during the last hour of trading. And the standardized spreads (depths) are quoted at the lower (higher) levels as the tick size becomes smaller. I also find that U-shaped intraday spread pattern changes to the reverse flat S-shape while inverted U-shaped depth pattern does to the flat S-shape.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.601-605
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• 2009

The objective of this research is to develop a knowledge discovery framework which can help project teams discover useful patterns to improve energy efficient building design. This paper utilizes the technology of data mining to automatically extract concepts, interrelationships and patterns of interest from a large dataset. By applying data mining technology to the analysis of energy efficient building designs one can identify valid, useful, and previously unknown patterns of energy simulation modeling.

• Korean Management Science Review
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• v.34 no.3
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• pp.43-60
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• 2017

This study empirically examined the differences in degrees of product or process innovations according to the activation forms of all knowledge management (KM) processes (i.e., socialization, internalization, externalization, and combination), which are influenced by the usage patterns of management control systems (MCS)(i.e., interactive and diagnostic usage patterns). We empirically investigated and identified the links among usage patterns of MCS, the activation forms of KM processes, and the kinds of innovation promoted. Under high competitive conditions, it was found that the interactive usage of MCS is relatively more preferred and enhanced. However, when environmental uncertainty is high, it was shown that the diagnostic use of MCS is more emphasized. Thus, it is evident that the use patterns of MCS are determined by environmental conditions. From the results of this study, it was suggested that under high interactive use of MCS, the activation of socialization and internalization is more enhanced than the facilitation of externalization. It was also observed that when both interactive and diagnostic usage of MCS are high, KM processes are more activated and strengthened. The results indicated that under high activation of KM processes, product innovation as well as process innovation are more frequently occurred. Finally, the results of this study suggested that according to the levels of innovation openness, major innovations are more frequently occurred and promoted than minor innovations.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.233-236
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• 2001

This study explores on the static and dynamic growth patterns of high-tech ventures in Korea. We developed an integrative framework with target market (local vs. global), product/market maturity (existing vs. emerging), and technological capability (follower vs. pioneer). We also identified seven new ventures strategies as follows: i) reactive imitation, ii) proactive localization, iii) import substitution, iv) creative imitation, v) early market-entry, vi) global niche, and vii) global innovation. With five successful Korean new ventures, we found different competitive behaviors and performance among new venture strategic types. This study also observed two different growth patterns: growth through strategic replication and growth through strategic change. It depends on whether they are pursuing similar strategy over time or different strategy within for growth. In addition, we found that creative imitation plays a stepping-stone role in two-step internationalization processes. Although this study is exploratory and needs more empirical studies, it can provide new ventures with meaningful guidelines for growth and internationalization with a dynamic perspective.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.388-394
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• 2007

In wireless network, we propose a predictive location update scheme which considers mobile user's(MU's) mobility patterns. MU's mobility patterns can be found from a movement history data. The prediction accuracy and model complexity depend on the degree of application of history data. The more data we use, the more accurate the prediction is. As a result, the location management cost is reduced, but complexity of the model increases. In this paper, we classify MU's mobility patterns into four types. For each type, we find the respective optimal number of application of history data, and predictive location area by using the simulation. The optimal numbers of four types are shown to be different. When we use more than three application of history data, the simulation time and data storage are shown to increase very steeply.

• Korean Management Science Review
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• v.21 no.3
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• pp.55-69
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• 2004

This study analyzes customer buying-behavior patterns in a department store as time goes on, and predicts moving patterns of its customers. Through them, it suggests in this paper short-term and long-term marketing promotion strategies. RFM techniques are utilized for customer segmentation. Customers are clustered by using the Kohonen's Self Organizing Map as a method of data mining techniques. Then C5.0, a decision tree analysis technique, is used to predict moving patterns of customers. Using real world data, this study evaluates the prediction accuracy of predictive models.

• Journal of Information Technology Services
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• v.11 no.3
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• pp.89-101
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• 2012

The study investigated if IT investment in Korean financial markets for the past 18 years has grown following the s-curve pattern based on Nolan's growth model in order to find the correlation between IT investment and management performance in the financial industry. According to the research finding it can be said that the overall financial markets maintain s-curve pattern, and IT investment is related to management performance, particularly increase in total assets and net profit. However, each sector has defining features of growth patterns. The banking industry has grown similarly to the s-curve, and the insurance industry also shows the s-curve but it looks more like linear pattern. In terms of securities industry, its growth patterns can hardly be considered s-curve due to the irregular changes. his research outcome illustrates the analysis of IT growth patterns in the financial industry and thus, it is expected to be a useful reference when deciding the appropriate time for IT investment in the financial industry.