• Journal of Information Technology Applications and Management
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• v.20 no.4
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• pp.1-18
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• 2013

Big data has become a worldwide topic. Despite this, big data accurately understand and acquire the business to take advantage of companies that were only very few. The purpose of this study is to investigate the factors that effect Korean firm's adopting big data system. Empirical test was conducted to verify hypotheses using extended technology acceptance model and we analyzed factors which affect the behavioral intention of big data System. Based upon previous researches, we have selected organization innovation, organization slank, organization information system infra maturity, perceived benefits of big data system, perceived usefulness, perceived ease of use, behavioral intention as variables and proposed a research model based on survey questionnaires. From those, we drew that perceived usefulness and perceived ease of use influenced the behavioral intention. The results of this study will increase the users' awareness on big data system and contribute to develop a way to enable the introduction of new technologies.

• Journal of Information Technology Applications and Management
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• v.31 no.3
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• pp.165-179
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• 2024

Although firms with advanced analytics and machine learning (which is often called AI) capabilities are considered to be highly successful in the market by making decisions and actions based on quantitative analysis using data, the scarcity of historical data and the lack of right data infrastructure are the problems for the organizations to perform such projects. The objective of this study, is to identify a road map for the organization to reach data capability maturity to become AI matured organizations. First, this study defines the terms, AI capability, data capability and AI matured organization. Then using content analyses, organizations' data practices performed for AI system development and operation are analyzed to infer a data capability roadmap to become an AI matured organization.

• Safety and Health at Work
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• v.11 no.4
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• pp.397-404
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• 2020

Background: Most job exposure matrices (JEMs) have been developed for chemical and physical hazards in the United States (US). In addition, the overall validity of most JEMs of work organization hazards using self-reported data in the literature remains to be further tested due to several methodological weaknesses. Methods: This paper aims to review important methodological issues with regard to a JEM of work organization hazards using self-report data and to present a research protocol for developing a four-axis (job titles, hazards, sex, and time) JEM of major work organization hazards using the US General Social Survey-Quality of Work-Life (GSS-QWL) data (2002-2018; N = 7,100 workers). Results: Five methodological weaknesses in existing JEMs of work organization hazards using self-report data were identified: having only two axes (hazard and occupation), using psychometrically weak items and scales, including scales having little interoccupational variability, unresolved optimal minimum numbers of subjects per occupation, and low accessibility. The methodological weaknesses were successfully addressed in the proposed research protocol. Conclusion: The work organization JEM to be developed will significantly facilitate and strengthen occupational epidemiological studies on work organization hazards and major health outcomes, improve national and occupational surveillance of work organization hazards, and promote interventions for a healthy work environment in the US.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.587-590
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• 2002

We propose a semantics filter aimed at filtering unnecessary data for a user. In the Geographic Information Systems (GIS), transfer of spatial data for each user is one of the important problems. We design a system that filters spatial data by using user's information adaptively. Our system derives the degree of geographical knowledge and the priority of buildings by using fuzzy reasoning. Furthermore, this system computes the priority of roads by deriving the contiguity relation between a building and a road. This paper describes a method for filtering of spatial data.

• The Bulletin of The Korean Astronomical Society
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• v.44 no.2
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• pp.78.2-78.2
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• 2019

The temperature control of a scientific device is essential because extreme temperature conditions can cause hazard issues for the operation. We developed a software which can interact with the temperature sensor using the GMT SDK(Giant Magellan Telescope Software Development Kit) version 1.6.0. The temperature sensor interacts with the EtherCAT(Ethernet for Control Automation Technology) slave via the hardware adapter, sending and receiving data by a packet. The PDO(Process Data Object) and SDO(Service Data Object), which are the packet interacts with each EtherCAT slave, are defined on the TwinCAT program that enables the real-time control of the devices. The user can receive data from the device via grs(GMT Runtime System) tools and log service. Besides, we programmed the software to print an alert message on the log when the temperature condition changes to certain conditions.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.3
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• pp.45-58
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• 2016

Data are important in an organization because they are used in making decisions and obtaining insights. Furthermore, given the increasing importance of data in modern society, data governance should be requested to increase an organization's competitive power. However, data governance concepts have caused confusion because of the myriad of guidelines proposed by related institutions and researchers. In this study, we re-established the concept of ambiguous data governance and derived the top-level components by analyzing previous research. This study identified the components of data governance and quantitatively analyzed the relation between these components by using DEMATEL and context analysis techniques that are often used to solve complex problems. Three higher components (data compliance management, data quality management, and data organization management) and 13 lower components are derived as data governance components. Furthermore, importance analysis shows that data quality management, data compliance management, and data organization management are the top components of data governance in order of priority. This study can be used as a basis for presenting standards or establishing concepts of data governance.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.3
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• pp.149-165
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• 2017

This study is to discover and substantiate the casual relation between Learning Organization and Organizational Citizenship Behavior, with Supervisor Trust used as moderating variable. Learning Organization and Organization Citizenship Behavior are used, respectively, as independent and dependent variable, Supervisor Trust as moderating variable. The data for this study was collected from 340 public officials who participated in the training program. Data collection tools were used to collect structured questionnaire questionnaires, and dissemination and retrieval of questionnaires were carried out over 6 weeks from February 6 to March 10, 2017. Of the questionnaire distributed, the questionnaire was finally recovered from the questionnaire, with a recall rate of 91.8 %, showing a very high rate of recall. The result showed that Learning Organization is a significant factor for Organization Citizenship Behavior and also that Supervisor Trust plays a role in the control of the relationship between Learning Organization and Organization Citizenship Behavior; thus, in order for Public Organizations to achieve advanced competitiveness, vitalizations of Learning Organization is important.

• Journal of Korean Academy of Nursing Administration
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• v.16 no.3
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• pp.267-275
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• 2010

Purpose: This study conducted to identify the effect of learning organization construction and learning orientation on organizational effectiveness among hospital nurses. Method: Data was collected from convenient sample of 296 nurses who worked for the major hospitals in Seoul, Gyeonggi-do and Gangwoen-do. The self-reported questionnaire was used to assess the general characteristics, the level of the learning organization construction, learning orientation and organizational effectiveness. The data were analyzed using descriptive statistics, pearson's correlation coefficient and multiple regression. Result: The mean score of learning organization construction was 3.61(${\pm}.32$), learning orientation got 3.26(${\pm}.39$), and organizational effectiveness obtained 3.38(${\pm}.42$). The learning organization construction affects of organizational effectiveness by 44.18% and learning orientation by 37.43%. Conclusion: This finding indicates that learning organization construction and learning orientation affects the nurses' organizational effectiveness in hospital.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.1107-1110
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• 2000

This paper proposes a selection procedure of geospatial data for location guidance map generation system. The selection procedure requires some targets appointed by users as input data and outputs generation. The procedure is embedded in a prototype of object-oriented GIS. We show sample maps generated by the system.

• Journal of Korean Academy of Nursing Administration
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• v.7 no.3
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• pp.545-560
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• 2001

The Purpose of this study was to suggest the direction of restructuring organization of KNA. For this purpose, it was tried to identify the organization structure and effectiveness of KNA and member's need and perception on KNA, and to compare with other NNA's organization structures and major activities. To collect the data, Delphi technique and survey were done. And the various data such as the annual reports, inspection reports, the articles of KNA, ANA, JNA, and RCN and other related references were investigated as well. The subjects were consisted of 102 representatives of KNA and 520 staff nurses. The data was collected from September 20. 1999 to February 10. 2000. In conclusion, this study recommends the following actions to restructure the organization of KNA. 1) The current framework of the overall structure will be maintained. 2) Among organizations in the Headquarter, the policy-making and revenue-making functions will be strengthened. 3) The opportunities of participation of the general members in the KNA activities will bee more reinforced than as it is. 4) The way of constitution of the Representatives and the Board of Directors will be modified not to be partial in terms of representativeness. 5) More emphasis will be put in such projects as welfare improvement of members, and advocacy of members' right at work.