• Journal of Technology Innovation
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• v.25 no.3
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• pp.155-195
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• 2017

The goal of the present study is reviewing the literature on the scientific community and also on science, technology & society to increase interactions between innovation studies and social studies of science and technology. Up until now, various empirical studies on Korean scientists and engineers have been concentrated on researchers at universities, while they have paid inadequate attention to researchers at state-funded research institutes and private companies. In addition, these studies have tended to use concepts in Western academia to elucidate Korean cases. On the other hand, recent empirical researches on the effects of the evaluation systems in universities, PBS system, and the network of school ties suggest that these topics may reveal the unique characteristics of Korean scientific community. Empirical studies on the scientific community have also shown that Korean research institutes and researchers who are in charge of innovation in Korea have demonstrated a tendency to conform to the government's guidance due to long experiences of state-led R&D and nationalism. Research on science, technology and society has viewed the participation of citizens in science and technology as a way toward science and technology democracy, and tended to have a strong practical orientation. However, there has been a relatively small amount of research on how citizen participation influences the direction and content of technological innovation. Also, although, from the viewpoint of technological innovation, how participation of citizens in science and technology can contribute to knowledge production and innovation is a critical issue, relatively small numbers of case studies on this subject have been conducted. Therefore, as the scholars who have emphasized the democracy of science and technology have actually experimented with various ways of citizen participation, innovation researchers may have to design and implement citizen participation through which citizens' local knowledge can contribute to technological innovation.

• Journal of Service Research and Studies
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• v.8 no.4
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• pp.77-88
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• 2018

Collaboration works on R&D project have many characteristics in interoranizational relationships. There are many variables on explaining the their relationships. In the previous study, I chose some relevant variables and some hypotheses. Base on service marketing theories and relationship marketing perspective I suggest 5 hypotheses. Independent variables are fairness and quality, and dependent variable is loyalty. And trust are treated as the intervening variable between the independent variables and dependent variable. To test the research model and some hypothesis empirically, I collected the data using the questionnaire. Sample size was 448, it was enough to analyze statistically. Data were analysed using the SPSS and AMOS. In the previous study, H1($fairness{\rightarrow}trust$), H2($quality{\rightarrow}trust$), H5($trust{\rightarrow}loyalty$) were accepted, but H3 and H4 were rejected. The reason H3($fairness{\rightarrow}loyalty$) and H4($quality{\rightarrow}loyalty$) were not accepted might be attributed to the fact that trust was the mediating variable between fairness and loyalty, quality and loyalty. Specific research methodologies and statistical findings from AMOS were referred in the previous study(Jeong 2018). In this study, I suggested some hypotheses on the mediating role trust between fairness and loyalty and service quality and loyalty. Using the PROCESS-macro, I found that trust was the mediating variable between fairness and loyalty as well as service quality and loyalty. This research is the complementary and extended study from previous research.

• Journal of Information Technology Application
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• v.2 no.1
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• pp.113-137
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• 2000

Even though there is no doubt that ERP(Enterprise Resource Planing) system is a prevailing solution for integrating corporate information, many companies still hesitate adopting ERP system because of a great deal of cost including maintenance cost. In special, unless consulting knowledge that is infused into process reengineering phase or adequately embedded in customized ERP system is upgraded on time, then we cannot guarantee the optimality of system performance. Hence, this paper aims to construct an ERP system that adapts itself to environmental changes that are issued by database and users. To do so, we adopt intelligent agent technology and Petri net theory. The agents autonomously cooperate each other to investigate databases and to find any exceptional changes and analyze how the changes will affect ERP performance. The dynamics of the agents are represented as Petri nets. The newly proposed ERP system is to make corresponding BPR processes maintain optimality. To show the feasibility of the proposed ERP maintenance system, logistics component is described as an illustrative example.

• Korean Journal of Construction Engineering and Management
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• v.1 no.2 s.2
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• pp.89-97
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• 2000

This research has been Initiated to provide an effective management tool for budget control of the public projects using EVMS. Barriers to implementing the tool for the domestic public projects are identified : no PMB (Performance Measurement Baseline) for budget control, management by BOQ(bill of quantity), no systematic planning and control. To eliminate these barriers, an integrated cost and schedule management process model using EVMS is proposed. This model is composed of six sub processes : organizing, scheduling, budget allocating, establishing PMB, managerial analysis, change incorporation.

• Journal of Internet Computing and Services
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• v.13 no.1
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• pp.65-74
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• 2012

Cloud services are used for improving business. Moreover, customer relationship management(CRM) approaches use social networking as tools to enhance services to customers. However, most cloud systems do not support the semantic structures, and because of this, vital information from social network sites is still hard to process and use for business strategy. This paper proposes a collaboration framework based on social semantic web for cloud system. The proposed framework consists of components to support social semantic web to provide an efficient collaboration system for cloud consumers and service providers. The knowledge acquisition module extracts rules from data gathered by social agents and these rules are used for collaboration and business strategy. This paper showed the implementations of processing of social network site data in the proposed semantic model and pattern extraction which was used for the virtual grouping of cloud service providers for efficient collaboration.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.489-498
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• 2017

This study analyzed whether the suitability of strategy is playing a regulative role between IT characteristics & user characteristics and non-financial performance empirically. To this end, this study set up IT characteristics and user characteristics as independent variables, and set up non-financial performance as the performance variable of KMS, and also set up the suitability of the management strategy & informatization strategy of a business as moderating variables. This study defined the detailed factors in IT characteristics as IT maturity and IT/IS infrastructure while defining the detailed factors in user characteristics as perceived profit, organizing of learning, and user professionalism. In addition, this study defined non-financial performance as an organization member satisfaction, and KMS availability. As a result of the analysis, IT maturity & IT/IS infrastructure, which are defined as IT characteristics, and perceived profit, organizing of learning and user professionalism, etc., which were defined as user characteristics, were found to be variables playing a regulative role in non-financial performance.

• The KIPS Transactions:PartD
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• v.9D no.6
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• pp.971-980
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• 2002

As the importance of knowledge management is being recognized, there is a significant amount of increase for interest in data warehousing. On-Line Analytical Processing (OLAP) systems can effectively make use of data warehouses. Although there are many commercial OLAP products, they have been developed without any kind of standard resulting in poor data exchange and difficulty in interfacing among the OLAP products. In this paper we propose an OLAP metadata interchange model that can be used among different OLAP products and have implemented an OLAP metadata interchange system that can interchange the cubes created from the metadata. XML is used for the OLAP metadata model and the user interface is Web-based, which makes it easier to interchange metadata among different OLAP products. Users can experience the different analysis environments of different products without the need to learn the complex cube creation process for each product. By extending this research to design a common query language that can be used among OLAP products, OLAP products should be able to more easily talk to one another.

• Journal of Distribution Science
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• v.6 no.1
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• pp.79-98
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• 2008

The Automobile Industry is an end product, which is manufactured by more than 20,000 component parts and measure international competitiveness and technology of a country. It is basic industry leading national economy. The purpose of the present paper is to study The Effects of Customer Satisfaction of Automobile Distribution System on Corporate Financial Performance. The empirical analysis is as follows. First, the result of the difference between Distribution System and Customer Satisfaction shows similar differences with among confidence index, customer loyalty, oral publicity and wills of repeat purchasing. Second, the result of the difference between Customer Satisfaction and Corporate Financial Performance shows similar differences with among safety ratio, growth ratio, activity ratio.

• The Journal of Information Systems
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• v.17 no.3
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• pp.205-233
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• 2008

This study suggests the dynamic value chain model, that will be able to not only show changing processes to organization's significant capital by integrating an individual, implicit, and explicit knowledge which affect organizational decision making, but also distinguish the key driver for raising organizational competitive power because it makes possible to analyze sensitivity of performance along with decision making alternatives and policy changes from dynamic view by connecting knowledge management capability, knowledge management activity, and relations with organizational performance with specific strategic map. Recently, a lot of organizations show interest in measuring and evaluating their performance synthetically. In organizations taking knowledge management, they introduce effective value chain model like a dynamic balanced scorecard (DBSC), and therefore they can reflect their knowledge management condition as well as show their changes by checking performance of established vision and strategy periodically. Furthermore, they can ask for their inner members' understanding and participation by communicating with and inspiring their members with awareness that members are one of their group, present a base of benchmarking, and offer significant information for later decision making. The BSC has been a successful framework for measuring an organization's performance in various perspectives through translating an organization's vision and strategy into an interrelated set of key performance indicators and specific actions. The BSC, while having significant strengths over traditional performance measurement methods, however, has its own limitations, due to its static nature, such as overlooking two-way causation between performance indicators and neglecting the impact of delayed feedback flowing from the adoption of new strategies or policy changes. To overcome these limitations, this study employs SD, a methodology for understanding complex systems where dynamic feedback among the interrelated system components significantly impact on the system outcomes. The SD simulation model in the form of DBSC would serve as a useful strategic teaming tool for facilitating an organization's communication process through various scenario analyses as well as predicting the dynamic behavior pattern of their key performance measures over a future time frame. For the demonstration purpose, this study applied the DBSC model to Prototype of Korea manufacturing and service firm.

• Korean Journal of Construction Engineering and Management
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• v.10 no.5
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• pp.3-15
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• 2009

Recently, it has increased projects in the Oil and Gas industry as growing plant of overseas construction market. Therefore, domestic companies need to set some aggressive plans up that secure competitiveness of international plant business such as enhancing productivity, technological ability and statistical management. Specifically in the Oil and Gas industry of overseas plant business requires implying information in EPC (Engineering, Procurement and Construction, below EPC) more, but it has not been suggested an appropriate breakdown system for contents that manages the information each EPC phase, which lead to problems such as revision of design document, occurring duplicated work and omissions of each participant. For these problems, we find market share decreasing and competitiveness running down. Thus, for increasing practical use of contents management system and construction industry's information, this paper suggests a contents breakdown system based on BPM (Business Process Management), defines business process and systematizing knowledge needed, and finally analyzing contents information that establish information among industrial facilities in Design phase which is the weakest part of domestic companies.