• Management & Information Systems Review
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• v.29 no.4
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• pp.225-244
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• 2010

In the information society, characterized by knowledge and network economy, standards and standardization became a very important factor in determining the competitiveness of nations and firms. This paper defines the concept of standards and standardization and reconstructs the theory on the relationship between standards and technological innovation. The findings and policy implications are as follows. First, the effect of standards on technological innovation differs according to its function(compatibility, minimum quality, information, and variety reduction) and types(product-related and non-product). On the other hand, standards can impede technological innovation. Second, in terms of national innovation system(NIS), standards are an infra-technology, which is a public good. Therefore, government should decide the optimal level of investment on standards and standardization. Third, since standards foster firms' innovation over the all stages of business activities company, industry, and government should connect standardization activities with R&D, manufacturing, marketing, supply chain, and technology transfer, Fourth, standards play an important role in product innovation as well as process innovation. Based on these theoretical background and hypotheses, the empirical study of the Korean firms is needed.

• Journal of Intelligence and Information Systems
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• v.15 no.4
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• pp.65-78
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• 2009

The rapid changes of financial environment have increased the need and demand for personal financial advisory service from financial experts. In particular, as the individual customers want to get more customized financial services, the financial institutions created the private banking (PB) sector and have constantly expanded their PB services. However, it remains still problematic that the private banking system requires high costs so that the number of eligible customers who can have proper PB services is quite limited. To solve this problem, we propose an intelligent agent that can provides specialized and customized personal financial advisory services to the customers with low costs. The proposed agent systemizes and structures the information and knowledge of financial experts in private banking services so that individual customers can easily access to high-quality PB services when they need. On the first attempt we develop a framework of U-smart PB, an intelligent agent for personal financial management based on different scenarios related to personal financial decisions, and derive its core services. This system not only provides information simply, but also proposes to support personal investment decisions technically as an intelligent agent that embodies real-time customized financial management in a ubiquitous environment, regardless of time and place.

• Information Systems Review
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• v.18 no.1
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• pp.141-155
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• 2016

This study identified terminologies related to the proximity and frequency of disaster by social network analysis (SNA) and text mining, and then expressed the outcome into a mind map. The termdocument matrix of text mining was utilized for the terminology proximity analysis, and the SNA closeness centrality was calculated to organically express the relationship of the terminologies through a mind map. By analyzing terminology proximity and selecting disaster response-related terminologies, this study identified the closest field among all the disaster response fields to disaster response and the core terms in each disaster response field. This disaster response terminology analysis could be utilized in future core term-based terminology standardization, disaster-related knowledge accumulation and research, and application of various response scenario compositions, among others.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.462-480
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• 2010

Patent analysis is the extracting knowledge which is needed for the company's research and development strategy through accumulated worldwide patent database. In order to set the future direction of corresponding technology which is scheduled to be developed, the technology trends and deployment processes are identified by analyzing results of present patent applications. The patent analysis provides the required results for analyzing present patent applications. In this paper, we will carry out technology classification for related patent analysis methods and systems. Moreover we will investigate and analyze related domestic patents, U.S. patents and IEEE papers. Due to the characteristics of technology sector, not only patents are applied but also research papers are released actively about patent analysis system. We will analyze patents according to the technology classification by using the final searching results which come from the selected search words in this study. To find necessary niche technology which is needed for patent analysis system, matrix analysis was performed to all of valid patents and papers. Identifying the technology development trends of registered patent analysis systems, and presenting the future direction of technology development which is related to patent analysis system. To figure out the technology which is developed relatively weak based on domestic patents, U.S patent and research papers by analyzing the valid patents and papers with statistical test and self-organizing map quantitatively. Then, presenting the necessity of this technology development.

• Management & Information Systems Review
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• v.37 no.2
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• pp.125-147
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• 2018

This study was intended to examine the structural relationship between fan citizenship and sports marketing achievement. For that, 220 questionnaires were distributed to the fans of Lotte Giant in Busan region and 205 questionnaires were used finally. The hypotheses were validated by using SPSS 25.0 and Smart PLS 2.0 based on the study model. All hypotheses were adopted, except for 4 hypotheses(Hypothesis 5-3, Hypothesis 6-1, Hypothesis 6-2, and Hypothesis 6-3), among a total of 17 hypotheses. For that, the results were derived as below: First, fan citizenship had a positive(＋) influence on team equity(Hypothesis 1), sponsor assets(Hypothesis 2), and community equity(Hypothesis 3) as a whole. Second, team equity had a positive(＋) influence on sponsor assets(Hypothesis 4) in all respects, and furthermore, had a positive(＋) influence on local image(Hypothesis 5-1) and contribution to local community(Hypothesis 5-2). Meanwhile, team equity did not have a statistically significant influence on social interchange(Hypothesis 5-3. Finally, sponsor assets and community equity were found to have the relationship as follows: No statistically significant relationship was observed between corporate image and community equity. Corporate awareness had a positive(＋) influence as a whole. The results of this study are expected to provide comprehensive understanding and theoretical and practical implications of the influence that fan citizenship would have on sports marketing achievement.

• Information Systems Review
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• v.12 no.2
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• pp.47-74
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• 2010

This study presents two dimensional views of IT-use behaviors. It examines public employee's IT-use behavior as manifested in two ways: acceptance on IT, utilization on IT. This study investigates levels of employee's the acceptance and utilization on IT in the Korean Central Government(ministry and agency) and analyses factors affecting public employee's the acceptance and utilization on task-related IT in the public sector. This study tries to examine the variables affecting the acceptance and utilization on IT; especially, the influences of such variables as leadership, task-related communication with people, task motivation, IT usability and ease of uses, task understanding in the context of Korean Central Government. Based on a questionnaire survey in Korean Central Government(8 ministries, 5 agencies) that have implemented Government Knowledge Management System(GKMS), 311 valid instruments were received and analyzed using various statistics and structural equation model(SEM). And this study will adopt try to delineate pre and intervening conditions for public employee's the acceptance and utilization. According to the results of interviews and SEM analysis suggests that the influence of task-understanding, organizational communication, IS usability were statistically significant in the acceptance and utilization on IT. And it is also hoped that the path-analytic model suggested in this study helps reveal the causal chains between the acceptance and the utilization. Especially, task-understanding proves to be important in encouraging public employee's the acceptance and utilization. This result illustrates why task-understanding people are the key to utilize the task-related IT in public organization.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.5
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• pp.423-431
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• 2016

In general LPR(License Plate Recognition) in outdoor image is not so simple differently from in the image captured from manmade environment, because of geometric shape distortion and large illumination changes. this paper proposes three techniques for LPR in outdoor images captured from CCTV. At first, a serially connected multi-stage Adaboost LP detector is proposed, in which different complementary features are used. In the proposed detector the performance is increased by the Haar-like Adaboost LP detector consecutively connected to the MB-LBP based one in serial manner. In addition the technique is proposed that makes image processing easy by the prior determination of LP type, after correction of geometric distortion of LP image. The technique is more efficient than the processing the whole LP image without knowledge of LP type in that we can take the appropriate color to gray conversion, accurate location for separation of text/numeric character sub-images, and proper parameter selection for image processing. In the proposed technique we use DBN(Deep Belief Network) to achieve a robust character recognition against stroke loss and geometric distortion like slant due to the incomplete image processing.

• Management & Information Systems Review
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• v.37 no.3
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• pp.147-171
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• 2018

The purpose of this study is to analyze the factors affecting cooperation between industry and public research institutes, in addition to the effects of cooperation between them; on technological and economic performance of firms. Based on existing research relating to the factors affecting industry-university-research institutes cooperation and the relationship between them and firm performance, this study selected the competence of government-funded research institutes, R&D capabilities and organizational characteristics of firms, and support of government and local governments; as factors influencing cooperation between industry and public research institutes. This study sets seven hypotheses on the relationship between the factors promoting industry-public research institute cooperation, technological performance and economic performance. A questionnaire survey was used to collect data for hypothesis testing and 116 questionnaires were completed and used in this research. The PLS-MGA was used as a method for hypothesis testing. In the analysis results, we found that the competence of government-funded research institutes, organizational characteristics of firms, and the support of government and local governments have a positive impact on cooperation between industry and public research institutes. We also found that the collaboration between industry and public research institutes, positively affects firms' technological performance. In addition, we found that the technological performance of a firm, positively affects a firms' economic performance. On the other hand, firms' R&D capabilities have no significant effect on cooperation between industry and public research institutes, and industry-public research institute cooperation does not directly affect the economic performance of firms.

• Management & Information Systems Review
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• v.29 no.3
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• pp.23-50
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• 2010

This study is that the manufacturer's sales policy power appeared on the source of local distributors through the sale willingness impact on research for coexistence between the manufacturer and dealer sales for developing policy. Dealers in terms of the sale of regional sales willingness says "manufacturers and retailers to connect to the regional distribution on the path to regional sales representative for manufacturers based on trust companies that supply products or products manufactured by local retailers for about a unilateral will sale whether the continued willingness and indicates the degree of business". This study topics are the results of this measure will sell a total of 24 entries are four factors. In variety sales policy of each power source, First, sales policy in Reward Power, compensatory power as the manager of promotion support, sales support and sales activities will significantly impact respectively. Second, sales policy of Coercive Power, reduction of credit limits act as an element of discontent and the sales will appear in the negative hypothesis of the influence was partially supported. Third, sales policy in Referent Power, the information trust, the most significantly impact of trade policy, respectively. Fourth, sales policy in Professional Power, delay time delivery of goods, sales of our product and sales knowledge will have a significantly effect appear to be related.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.4
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• pp.153-163
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• 2017

This research is based on the previous research that personally preferred safe distance, rotating angle and speed are differentiated. Thus, we use machine learning model for recognizing maneuvering modes trained per personal or per similar driving pattern groups, and we evaluate automatic driving according to maneuvering modes. By utilizing driving knowledge, we subdivided 8 kinds of longitudinal modes and 4 kinds of lateral modes, and by combining the longitudinal and lateral modes, we build 21 kinds of maneuvering modes. we train the labeled data set per time stamp through RNN, LSTM and Bi-LSTM models by the trips of drivers, which are supervised deep learning models, and evaluate the maneuvering modes of automatic driving for the test data set. The evaluation dataset is aggregated of living trips of 3,000 populations by VTTI in USA for 3 years and we use 1500 trips of 22 people and training, validation and test dataset ratio is 80%, 10% and 10%, respectively. For recognizing longitudinal 8 kinds of maneuvering modes, RNN achieves better accuracy compared to LSTM, Bi-LSTM. However, Bi-LSTM improves the accuracy in recognizing 21 kinds of longitudinal and lateral maneuvering modes in comparison with RNN and LSTM as 1.54% and 0.47%, respectively.