• Asia pacific journal of information systems
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• v.24 no.4
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• pp.443-472
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• 2014

To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.

• Journal of Korea Technology Innovation Society
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• v.17 no.2
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• pp.355-379
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• 2014

For the transition to the low carbon society, it is inevitable but difficult journey that the new energy technology spread co-exists with formal social system. The objective of offshore wind power plant that has been implemented by the government is to connect large capacity new renewable energy to the central electric power system. Therefore, for the successful introduction of offshore wind power system, the transition of the formal social technology system should be companied. This study analysis the energy system transition about niche strategy adjustment using Multiple Level Perspectives & Strategic Niche Management. It also multi level analyzes and structuralizes the process that new technology, as a research result, evolves through connecting and communicating with formal regime and landscape. Also, adjusting Strategic Niche Management, it diagnoses the obstructive factors in the initial stage of niche experiment and found the major reasons why offshore wind power test plant had been delayed. Through this study, it reaches to the practical implication that offshore niche technology could grow stably in the energy system and various policies.

• Information Systems Review
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• v.8 no.3
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• pp.245-259
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• 2006

In order to utilize BSC as an operational tool for communicating strategies across the hierarchies of the organization, a growing number of companies have tried to link BSC processes with other PI tools. Company D has carried out the SEM project to identify the causal structure between innovation activities and performance management in 2005 and 2006. The company synthesizes BSC and 6 Sigma methodologies at the BU level, and the new process made it possible to manage performances and make decision more "realistic" on the basis of information technologies. We expect that this study provide organizations, which have difficulties streamlining the performance management processes at the strategic level and those of operational level, with implications for realizing more "execution-oriented" RTE.

• Journal of Digital Convergence
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• v.9 no.3
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• pp.1-10
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• 2011

Our country does not currently have a concrete policy for the management and preservation of the scientific dataset on the national level. The scientists and the research groups that are implementing a research project are not capable of searching or sharing the information about the dataset. In this situation where there is a major increase in the number of researches that use digitalized dataset, being able to share and reuse the scientific data amongst researchers is recognized to be very important. Therefore our country needs a new formulated policy that manages scientific data on the national level. This paper helps to find the implications of the strategic planning in our country by analyzing previous advanced case studies done by foreign countries. We selected Australia as our subject because its intensive government-driven research environment, research infrastructure and information service are very similar to Korea. To be specific, we analyzed ANDS (Australian National Data Service) and drew out the implications that could be applied to our country also. And finally we propose the basic principles that needs to be mirrored when formulating a policy on our country's scientific data.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.285-290
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• 2008

Ministry of Land, Transportation and Marine Affairs has implemented Construction CALS project for improving informatization level of construction industry and for making construction production system efficient. Construction CALS project has been implemented since 1998, however, there has been no attempt to measure how high the informatization level of Construction CALS is. This study measured the informatization level of Construction CALS by using the evaluation index proposed in the former studies. For measuring the level, this study made questions and selected samples, did survey, and analyzed the survey results. According to the results, Construction CALS is excellent for the fast rehabilitation of system errors, the web-base environment of system, the application of standard classification system, and the development of information strategic plan. This study will contribute to find out the informatization level of Construction CALS precisely.

• ETRI Journal
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• v.7 no.4
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• pp.15-23
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• 1985

Korea is trying to build the advanced telecommunications system to lead the information society in advance, which will demand a large amount of internal funds. The degree of rate level of telecommunications services. The objective of this article is to set up the principle which will be applied to decide the level of total revenue requirement(TRR) of telecommunications services in Korea. The trait of the principle is to specify the relation between the investment volume in telecommunications and gross fixed capital formation (G. F. C. F)at the national level. This article also proposes the m,d-term alternatives of strategic variables for the application of the principle.

• International Commerce and Information Review
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• v.3 no.1
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• pp.177-196
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• 2001

The advancement of information technology provides a wide range of options for the corporate to cope with new business environments. As with most other businesses, the utilization of the logistics information technology can be an instrument to enhance the competitiveness of the company. Therefore it is essential to analyze how companies utilize and verify the relationship between company business performance and the level of information technology utilization, which is the objective of this paper. The questionnaire was sent to 300 companies listed on the stock market at random The author received 176 responses of which 142 were complete and valid. According to the analysis of questionnaires, the adoption level of information technologies was dependent on the perception of top managers on the importance of information technology in business competitiveness. Furthermore the level of relation between the information technology adoption and business performance was significant. Therefore businesses need to increase the utilization of information technologies, such as establishment of logistics information system, network with other business partners in order to business logistics performance.

• Journal of Technology Innovation
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• v.11 no.2
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• pp.239-281
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• 2003

This study explored the patterns of activities and interactions among participants in the adoption process of a new system innovation, ADSL, in Korea, using an integrative framework of innovation system and strategic decision-making process for uncertainty reduction. An in-depth case analysis was undertaken to identify the adoption process of ADSL innovation, as a case in point, in conjunction with activities and interactions among related parties such as government, service providers, equipment suppliers, and content providers. The results of case analysis revealed that as the level of uncertainty in the adoption of ADSL innovation decreases, the focus of decision-making activities moves from scoping, to searching, to evaluating and to committing. Also this study found that at the early stage of ADSL adoption with higher level of uncertainty, government plays a pivotal role in coordination of related parties to participate in the innovation process, while service providers replaced this role at later stage of innovation with lower level of uncertainty. This study discussed theoretical and policy implications for the adoption of new system innovations with varying degrees of uncertainty.

• Proceedings of the Botanical Society of Korea Conference
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• 1987.07a
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• pp.283-307
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• 1987

Glycinin and $\beta$-conglycinin are the most abundant storage protein in soybean. These proteins are known to be synthesized predominantly during germination and cell expansion phase of seed development for short period, and synthesized not in other tissues. Genes encoding these storage proteins are useful system to study the mechanism of development stage and tissue specific gene expression in eukaryotes, especially plants, at the molecular level. The cDNA and genomic clones coding for glycinin have been isolated and regulation mechanism of the gene expression has been studied. Initially, development and tissue-specific expression of the glycinin gene is regulated at the level of transcription. Post-transcriptional processing is also responsible for delayed accumulation of the mRNA. Translational control of the storage protein gene has not been reported. Post-translational modification is another strategic point to regulate the expression of the gene. It is possible to identify positive and/or negative reguratory clements in vivo by producing transgenic plants agter gene manipulation. Elucidation of activation and repression mechanism of soybean storage protein genes will contribute to the understanding of the other plant and eukaryotic genes at molecular level.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.4
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• pp.322-329
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• 2005

This paper considers the application of mobile robot to the herding problem. The herding problem involves a ‘pursuer’ trying to herd a moving ‘evader’ to a predefined location. In this paper, two mobile robots act as pursuer and evader in the fenced area, where the pursuer robot uses a fuzzy cooperative decision strategy (FCDS) in the herding algorithm. To herd evader robot to a predefined position, the pursuer robot calculates strategic herding point and then navigates to that point using FCDS. FCDS consists of a two-level hierarchy: low level motion descriptors and a high level coordinator. In order to optimize the FCDS, we use the multi­thread evolutionary programming algorithm. The proposed algorithm is implemented in the real mobile robot system and its performance is demonstrated using experimental results.