Dong Hyun Lim ¹, Bit Na Yun ¹, Eun Mi Park ², Seong Taek Park ³

Affiliations
1 Department of Business Administration, Korea National University of Transportation, KR
2 Department of Business Administration, Kyungpook National University, KR
3 Department of Management Information Systems, Chungbuk National University, KR

Abstract

As globalization is accelerating, companies are making great efforts to grow. Thus, many companies are trying to make innovations, and their interest in patent, the result of innovations, is also increasing. Thus, this study tried to examine cases that companies registered study results from innovations as patents, and activities that they are doing with obtained patents. And because when patent disputes occur, companies come to devise various measures, this study tried to examine those measures through an empirical analysis. As a result of the analysis, activities performed with obtained patents turned out to be patent barrier establishment, manufacturing, cross licensing, technology transfer, and royalties through licenses, in order. Coping measures in case of patent litigation turned out to be a counter-suit, patent invalidation suit, cross licensing, suit through solidarity with other firms, and patent right fee payment, in order.

Keywords

Patent, Patent Activities, Patent Litigation, Strategy to deal with Patent Litigation

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Dong Woo Kim ¹, Tae Gu Kang ², Guozhong Li ³, Seong Taek Park ⁴

Affiliations
1 The Korea Association of Software Manpower, KR
2 Department of Management Information Systems, Chungbuk National University, Heungdeok-gu, Cheongju-si, Chungcheongbuk-do, KR
3 Department of Management Information Science and Information System, Kunming University of Science of Technology, Yunnan, Kunming, Wuhua, CN
4 Department of Management Information Systems, Chungbuk National University, Heungdeok-gu, Cheongju-si, Chungcheongbuk-do, KR

Abstract

As recognition and value on big data has become significant, companies, public institutions, intelligence agencies have started to have interest on big data. Of course, there were analytic techniques based on data in past as well, but data was limited and analysis also limited. However nowadays, interest on structured data due to social media and unstructured data has started to increase that interest on big data analysis is rising. This paper systematically analyzes behavior of internet shopping mall users through big data analysis and proposes a strategic operation plan using this analysis.

Keywords

Association Rules, Big Data, Growth Factors, Shopping Mall, SOHO

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Keon Won Kim ¹, Won Joon Park ², Seong Taek Park ³

Affiliations
1 Department of Management, Sogang University, KR
2 The Korea Association of Software Manpower, KR
3 Department of Management Information Systems, Chungbuk National University, KR

Abstract

Recently, the value of big data is being considered important. Also, the government, public institutions and private enterprises began to be interested in big data. Now, data has a lot of values, unlike the past. With the emergence of various planning and analysis techniques which are based on this data, big data is being established as a foundation for new high-level information creation and decision making advancement. This study aims to find an alternative for illegal parking using this big data. For achieving this purpose, this study attempted an approach to the plan to improve illegal parking using public data of Goyang City. In this study, public data of Goyang City was analyzed using open source R. Based on the analysis result, this study presented an alternative to improve illegal parking by installing CCTVs in Deogyang-gu, Goyang City.

Keywords

Big Data, CCTV, Disaster, Illegal Parking, Parking

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Se-Yun Kim ¹, Seong Taek Park ¹, Mi Hyun Ko ²

Affiliations
1 Department of Management Information Systems, Chungbuk National University, KR
2 Department of Policy Research, Korea Institute of Science and Technology Information, KR

Abstract

Recently, the increasing demand of information security consulting and securing workforce for information security consulting companies have emerged as major pending issues especially with the expansion information and communication infrastructures and the increase of instances of personal information leakage. This research aims to provide guidelines for successful information security consulting and training of information security consultants by looking into the core competencies of information security consultants and how much one possesses each competence. Thirty-five competency models were constructed by exploring previous researches, interviewing the experts in the field of information security consulting, and surveying information security consultants on the required and retention level of each competence. The results of the present research can provide useful information in improving the quality of information security consulting services by understanding the differences between required and retention level of competencies among information security consultants.

Keywords

Competencies, Information Security Consultant, Information Security Consulting, Required Level, Retention Level.

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Eun Mi Park ¹, Seong Taek Park ²

Affiliations
1 Department of Business Administration, Kyungpook National University, KR
2 Department of Management Information Systems, Chungbuk National University, KR

Abstract

Technical innovation is becoming more and more important in order to create competitive advantage in this management environment that the speed of technical changes is getting faster and the lifecycle of product is being reduced. To improve the performance of technical innovation, companies need to have absorption ability to utilize external knowledge and skills effectively. Such absorption ability is formed through interaction with internal and external resources of an organization and the characteristics of environment and so has important association with the results of corporate technical innovation. Accordingly, this study divides the factors of absorption ability into exploratory learning, transformative learning, and exploitative learning and made an empirical analysis of the impact of these three factors on organizational commitment and organizational innovation outcome. According to the 2-step approach of higher-order latent variable, path analysis and total effectiveness analysis were conducted directly. As a result of analysis, exploratory learning had a significant impact on organizational commitment and organizational performance and organizational commitment had a significant impact on performance. Transformative learning and exploitative learning had a significant impact on organizational commitment, but did not have an impact on performance.

Keywords

Absorptive Capacity, Exploitative Learning, Exploratory Learning, Organization Flow, Performance, Transformative Learning

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