Due to the constant expansion of overseas public IT market, exportation market mainly based on e-government is expanding and platform needs to be introduced urgently to systematically support it. Thus, this study was carried on to draw evaluation items and weighted value of tools to support decision-making out of services of public IT platform. In this study, the tools supporting decision-making were defined as concept that draws exportation customers by wholly considering 2 aspects of enterprise capabilities and national environment. To develop tools supporting decision-making, the items to evaluate the aspect of enterprise capabilities and national environment were drawn through study on literature and open question and evaluation items were eliminated and AHP analysis was done through question given to experts. As a result, the significance was found in the order of Export Competitive Advantage > Export Marketing Strategy > Export Human Resources > Export-Related Organizational Resources > Export-Related Organizational Capabilities in the aspect of enterprise capabilities. The significance of evaluation was found in the order of Service Market Efficiency > Technical innovation and Maturity > Institutions > Market Efficiency > Macroeconomic Environment > Infrastructure in the aspect of national environment.
EDI(Electronic Data Interchange) works by providing a collection of standard message formats and element dictionary in a simple way for businesses to exchange data via any electronic messaging service. Open-edi is electronic data interchange among autonomous parties using public standards and aiming towards interoperability over time, business sectors, information technology and data types. The number of Internet services using XML/EDI has grown rapidly since it is easily expansible and exchangeable. To use this service, the client does not have to install EDI S/W but only needs internet browser. Consequently, it became much easier and faster to handle the trading process in an office. eBusiness SML (extensible markup language) electronic data interchange. eXedi is the service that realizes B2B of XML/EDI. eXedi can be used easily in small and medium sized companies. Companies in any place can access to eXedi using the existing Internet connection. XML/EDI provides a standard framework to exchange different types of data -- for example, an invoice, healthcare claim, project status -- so that the information be it in a transaction, exchanged via an Application Program Interface (API), web automation, database portal, catalog, a workflow document or message can be searched, decoded, manipulated, and displayed consistently and correctly by first implementing EDI dictionaries and extending our vocabulary via on-line repositories to include our business language, rules and objects.
Even though papers and patents generated by public research institutions including universities are continuously increasing in Korea, commercialization of research outputs is significantly lower than developed countries. Therefore, it is very important to improve the effectiveness of technology licensing offices(TLOs) of universities. In this study, we study effects of the patent manager dispatch program(PMDP) of the Korean Patent Office(KPO) on the performance of TLOs. KPO has dispatched patent experts to selected TLOs under the PMSD since 2006. Based on data of 126 TLOs, we analysed whether the PMSD has improved the performances of beneficiary TLOs. We tested two related hypotheses: (1)Whether or not a TLO received the dispatch service had effects on its performance? (2)Were early beneficiaries more effective than late beneficiaries or non-beneficiaries because of cumulative learning effects? The main findings are as follows. The past experience in itself did not improve performances of beneficiary TLOs. However, early beneficiaries were better than late beneficiaries or non-beneficiaries, that is, some learning effects might help the beneficiary TLOs improve their performances.
This paper shows the case of the evolution of Korean e-Government services in the theoretical lens of Actor-Network Theory and Structuration Theory. It presents how human actors (i.e. presidents and the central administrations) and non-human actors (i.e. law, standards, and relay systems) have established as the one network together, and how this network affects the evolution of Korean e-Government services. This case demonstrates in public sector can adopt not only Actor-Network Theory, but also Structuration Theory to explain both micro and macro contexts. The practical implications are given especially for the developing countries in pursuing the rapid development process of e-Government services.
This study emphasizes the importance of the mission concept in managing the public programs by the government rather than the existing quantitative output. To this end, a case study for 7 representative National R&D Programs in Korea is presented, based on the program portfolio model using the mission construct suggested by the prior researches, in order to give its empirical validity and strategic meaning. For the case analysis, the study devises the measures to evaluate the level of the mission in a program in the aspect of achievement and appropriateness. Real data collected from NTIS are analyzed in two ways: static and dynamic perspectives. The first is conducted by differences of mission values among programs and the latter by yearly differences. Finally, it concludes the implication and the shortcoming of the study.
The social computing which is growing rapidly, has been scaling up the influencing power in every area and extending its activities into the political area. On the other hand, political participation trend of citizens gave rise to an innovative idea, so called 'Smart Citizens Party'. This requires the receptiveness and the openness of the party. So smart citizens party needs the smooth communication structure based on social computing as well as ICT(Information Communication Technology). That is, to embody the Smart Citizens Party, social computing framework for its is required. The purpose of this study is to suggest the social computing framework as the technical base of smart citizens party. To achieve this purpose, this paper will analyze the rise of the social web and ICT & innovation of public(and political) sector, study the concept and impacts of social computing and the concept and characteristics of Smart Citizens Party, and describe the framework, its elements and its service functions of social computing.
Purpose: This study explores the diffusion factors of corporate entrepreneurship among members of medical institutions. Methodology/Approach: The study explores the case of Granum Sinapis Center at Seoul St. Mary's Hospital, the first medical institution to establish a support organization for "innovation and start-up" as well as examines the changes in individual perceptions of participants in the institution's in-house contest. Among the 140 participants in the 2nd Contest held in 2022, seven participants were selected for interview in consideration of their job occupation and years of service. In-depth interviews were conducted for each individual. Findings: The participants applied for the contest under the direct and indirect influence of co-workers as well as compensatory factors. An individual's corporate entrepreneurial characteristics can be innate or acquired. The participants of the in-house contest had a positive experience in contrast to the existing organizational culture. The results reveal that emotional support from top and middle managers, along with the role of dedicated departments, can affect innovative behavior. Practical Implications: Contest participants reported personal growth, improved job satisfaction, and a change in perception of the organizational culture; they expressed their willingness to recommend. The results confirm the need to support such systems and shift focus to managerial (emotional) support and dedicated resources for developing individual entrepreneurship.
In line with the trend of industrial innovation, IoT technology utilized in a variety of fields is emerging as a key element in creation of new business models and the provision of user-friendly services through the combination of big data. The accumulated data from devices with the Internet-of-Things (IoT) is being used in many ways to build a convenience-based smart system as it can provide customized intelligent systems through user environment and pattern analysis. Recently, it has been applied to innovation in the public domain and has been using it for smart city and smart transportation, such as solving traffic and crime problems using CCTV. In particular, it is necessary to comprehensively consider the easiness of securing real-time service data and the stability of security when planning underground services or establishing movement amount control information system to enhance citizens' or commuters' convenience in circumstances with the congestion of public transportation such as subways, urban railways, etc. However, previous studies that utilize image data have limitations in reducing the performance of object detection under private issue and abnormal conditions. The IoT device-based sensor data used in this study is free from private issue because it does not require identification for individuals, and can be effectively utilized to build intelligent public services for unspecified people. Especially, sensor data stored by the IoT device need not be identified to an individual, and can be effectively utilized for constructing intelligent public services for many and unspecified people as data free form private issue. We utilize the IoT-based infrared sensor devices for an intelligent pedestrian tracking system in metro service which many people use on a daily basis and temperature data measured by sensors are therein transmitted in real time. The experimental environment for collecting data detected in real time from sensors was established for the equally-spaced midpoints of 4×4 upper parts in the ceiling of subway entrances where the actual movement amount of passengers is high, and it measured the temperature change for objects entering and leaving the detection spots. The measured data have gone through a preprocessing in which the reference values for 16 different areas are set and the difference values between the temperatures in 16 distinct areas and their reference values per unit of time are calculated. This corresponds to the methodology that maximizes movement within the detection area. In addition, the size of the data was increased by 10 times in order to more sensitively reflect the difference in temperature by area. For example, if the temperature data collected from the sensor at a given time were 28.5℃, the data analysis was conducted by changing the value to 285. As above, the data collected from sensors have the characteristics of time series data and image data with 4×4 resolution. Reflecting the characteristics of the measured, preprocessed data, we finally propose a hybrid algorithm that combines CNN in superior performance for image classification and LSTM, especially suitable for analyzing time series data, as referred to CNN-LSTM (Convolutional Neural Network-Long Short Term Memory). In the study, the CNN-LSTM algorithm is used to predict the number of passing persons in one of 4×4 detection areas. We verified the validation of the proposed model by taking performance comparison with other artificial intelligence algorithms such as Multi-Layer Perceptron (MLP), Long Short Term Memory (LSTM) and RNN-LSTM (Recurrent Neural Network-Long Short Term Memory). As a result of the experiment, proposed CNN-LSTM hybrid model compared to MLP, LSTM and RNN-LSTM has the best predictive performance. By utilizing the proposed devices and models, it is expected various metro services will be provided with no illegal issue about the personal information such as real-time monitoring of public transport facilities and emergency situation response services on the basis of congestion. However, the data have been collected by selecting one side of the entrances as the subject of analysis, and the data collected for a short period of time have been applied to the prediction. There exists the limitation that the verification of application in other environments needs to be carried out. In the future, it is expected that more reliability will be provided for the proposed model if experimental data is sufficiently collected in various environments or if learning data is further configured by measuring data in other sensors.
The HR policy in the public sector was closed and operated mainly on written tests, but in 2006, a new evaluation, promotion and education system based on competence was introduced in the promotion and selection system of civil servants. In particular, the seniority-oriented promotion system was evaluated based on competence by operating an Assessment Center related to promotion. Competency evaluation is known to be the most reliable and valid evaluation method among the evaluation methods used to date and is also known to have high predictive feasibility for performance. In 2001, 19 government standard competency models were designed. In 2006, the competency assessment was implemented with the implementation of the high-ranking civil service team system. In the public sector, the purpose of the competency evaluation is mainly to select third-grade civil servants, assign fourth-grade civil servants, and promotion fifth-grade civil servants. However, competency assessments in the public sector differ in terms of competency assessment objectives, assessment processes and competency assessment programmes compared to those in the private sector. For the purposes of competency assessment, the public sector is for the promotion of candidates, and the private sector focuses on career development and fostering. Therefore, it is not continuously developing capabilities than the private sector and is not used to enhance performance in performing its duties. In relation to evaluation items, the public sector generally operates a system that passes capacity assessment at 2.5 out of 5 for 6 competencies, lacks feedback on what competencies are lacking, and the private sector uses each individual's competency score. Regarding the selection and operation of evaluators, the public sector focuses on fairness in evaluation, and the private sector focuses on usability, which is inconsistent with the aspect of developing capabilities and utilizing human resources in the right place. Therefore, the public sector should also improve measures to identify outstanding people and motivate them through capacity evaluation and change the operation of the capacity evaluation system so that they can grow into better managers through accurate reports and individual feedback
This paper considers that a public department under specialized TQM manpower constraints have to implement multiple total quality management (TQM) policies to promote its service performance (fundamental goal) by adopting a centralized sequential advancement strategy (CSAS). Under CSAS, the decision-makers (DMs) start off by focusing specialized TQM manpower on a single policy, then transfer the specialized TQM manpower to the next policy when the first policy reaches the predetermined implementation time limit (in terms of education and training). Suppose that each TQM policy has a different desirous education and training goal. When the desirous goals for all TQM policies are achieved, we say that the fundamental goal will be satisfied. Within the limitation of total implementation period of time for all policies, assume the desirous goals for all TQM policies cannot be achieved completely. Under this premise, the optimal implementation sequence for all TQM policies must be calculated to maximize the weighted achievement of the desirous goal. We call this optimization problem a TQM case of "centralized sequential decision-making problem (CSDMP)". The achievement of the desirous goal for each TQM policy is usually affected by the experience in prior implemented policies, which makes solving CSDMP quite difficult. As a result, this paper introduces the concepts of sequential effectiveness and path effectiveness. The structural properties are then studied to propose theoretical methods for solving CSDMP. Finally, a numerical example is proposed to demonstrate CSDMP′s usability.
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