• Korean Journal of Remote Sensing
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• v.27 no.2
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• pp.203-211
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• 2011

Recently, information communication technologies such as smartphone or mobile app greatly affect various application fields including geo-spatial domain. And development scheme of mobile web app or hybrid app regards as the most important computing technology which is combined each advantage of mobile app and mobile web. Despite these trends, it is general case that satellite images are used for the background image for other contents services. With this motivation, hybrid app for geo-metadata as the base for dissemination and service is designed and implemented as the prototype, in this study. At the design stage, HTML5, which is the core technology on an international standardization process for hybrid app, is applied. In the implementation, PhoneGap and Sencha Touch as mobile SDK(Software Development Kit) supporting HTML5 on cross-platform in open sources are used. In prototype, some KOMPSAT-2 images covering small area and mandatory elements in geo-metafata standard are tested. As mobile industry applications and business service models based on satellite images on mobile platform are progressing and diversifying, it is expected that this approach and implemented prototype are considered as an important reference.

• Journal of Distribution Science
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• v.14 no.5
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• pp.115-123
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• 2016

Purpose - Nowadays the competition between companies has been intensified in the aviation industry. It is hard to maintain successful market share in challenging managerial environment. Not long ago, a Korean major aviation company had faced social condemnation cause of managerial staff's immoral behaviors. That company suffers great losses in company brand value in terms of authenticity as an aviation company. This research tried to show the effect of brand authenticity in the aviation industry. First of all, this research tried to define the dimensions of the brand authenticities based on the former researches. This research suggested the airline brand authenticities as three kinds of dimensions. The dimensions of authenticities consist of performance aspects, symbolic aspects and moral aspects. And this research also tried to show the relationships between brand authenticities and consumers attitudes. Research design, data and methodology - The empirical research design is based on the experiments with six types of advertisement prototypes. The advertisement prototypes were based on three types of authenticities' characteristics. The prototypes were made of core statements about each authenticity. And the advertisement prototypes also were based on the aviation company types. The types of aviation companies could be divided into FSC(full service carrier)and LCC(low cost carrier). So the whole experiments were performed with six kinds of advertisement prototypes(3 brand authenticities X 2 aviation company types). The age of participants were from 20s to 40s. The proportion of participants' demographics are as follow. Age proportion is 50% of 20s and 50% of 30s and 40s. Gender proportion is 46% males and 54% females. The experiments performed through mobile devices. Advertisement prototypes were exposed to the participants through their mobile devices, and they answered the questionnaires. All the process of experiments were performed by a professional research firm to maintain the quality of data. Results - This research suggested some important outcomes as follow. First, brand authenticity had an important role to make a positive consumer attitude on the aviation company. All the three types advertisement of authenticities had a positive impact on the consumer attitude for the aviation company. Second, the three types of brand authenticities in the performance aspects, symbolic aspects, and moral aspects had a major impact on the consumers attitudes. The performance authenticity had the biggest effect on the consumer attitudes. Third, the types of aviation companies like FSC and LCC had a different correlation with types of authenticities. All the types of authenticities affected on the consumers attitudes in the FSC case. The symbolic authenticity had the biggest effect in the FSC case. But the performance authenticity showed the most striking effect in the LCC case. Conclusion - From this research, we can get a conclusion. The brand authenticity of aviation company should be managed carefully to maintain a positive brand image and consumers attitudes. And airline brand authenticities can be consist of three type dimensions. All the types of authenticities affects on the consumers attitudes positively. The symbolic authenticity affects more in the FSC case, and the performance authenticity influences more in the LCC case.

• The Journal of Industrial Distribution & Business
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• v.9 no.5
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• pp.83-91
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• 2018

Purpose - The purpose of this study is to explore the introduction and activation of smart training for the effective training of vocational ability development of companies in the 4th industrial revolution era, we analyze the present status of smart training introduction and related difficulties and propose concrete activation plan. Research design, data, and methodology - Through the online survey, we tried to confirm the recognition of corporate about smart training. Questionnaires include what are the benefits, expectations, and difficulties of smart training, etc. The survey was conducted from August 21, 2017 to September 4, 2017. A total of 69 companies participated in the questionnaire. The questionnaire results were analyzed through frequency analysis and contents analysis. Based on the results of the questionnaire, we found out the cause of inhibition of smart training activation and suggested activation strategies. Results - The main reason for the provision of smart training is the expectation of the training performance and the recognition that it is possible to provide training in a flexible manner. The effectiveness of smart training operation was evaluated as a high level of contribution to the development of creative training course and the capacity of training institute. As a result of checking factors that hinders the activation of smart training, the most important reason is that the time and cost burden of the training institutes is excessive. The lack of expertise in the design of smart training courses and the burden of employers and trainees. Conclusions - In order to activate smart training, it is necessary to find solutions to the obstacles at the internal or external level of training institutions. The internal barriers to the training organization are lack of internal competence for preparation and course management. In this regard, we need to consider providing consulting, best practices or guidance in the process of designing and operating smart training. On the other hand, as an external obstacle factor, it is necessary to provide incentives to participate in smart training. In addition, further research is needed on strategies that can lead to participation in smart training from the viewpoint of employers and learners.

• Journal of Korean Academy of Nursing Administration
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• v.12 no.3
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• pp.424-433
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• 2006

Purpose: This study is analyzing nurse managers's common fundamental competencies changes and responses to the application of the action learning, and promoting introduction and revitalization of action learning. Method: The research design is one group pretest-posttest design. The subjects are 40 nurse managers. The program was performed for 5 weeks. Data were collected before the program and after 5 weeks program and were analyzed with paired t-test. Result: Action learning was an effective way to develop an individual and team and to solve the problem of organization. There were more significant increases after the program than before the program on common fundamental competencies(p<.05). Conclusion: This study has us confirm that action learning is an effective education method for organization members on the spot to recognize their problem and study by themselves and solve the practical problems with various solution process.

• Journal of Distribution Science
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• v.12 no.12
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• pp.93-100
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• 2014

Purpose - This study investigated the effect of the negative affect on compulsive buying and the interaction effect of the negative affect depending on the level of mindfulness. Compulsive buying is defined as chronic, repetitive purchasing that becomes an overlearned and automatic way to cope with negative feelings, and compulsive buyers may be particularly susceptible to cognitive narrowing when shopping. Mindfulness may be defined as a coordinative regulatory process to increase the level of attention by recognizing the present experiences non-judgmentally. Hence, mindfulness can be related with negative psychological results such as general mental distress, especially compulsive buying. The purpose of the current study is to examine the relationship between compulsive buying and mindfulness. In another words, this study investigated the effect of the internal regulatory mechanism (that is, mindfulness) on the mental disorder resulting from negative affect in the area of consumption (that is, compulsive buying). Research design, data, and methodology - One hundred and twenty-five college students were recruited for this study. The subjects were classified into two groups according to the degree of the negative affect (High Negative Affect Group vs. Low Negative Affect Group) by the mean value of negative affect (=2.47). The subjects were classified into two other groups according to the degree of mindfulness (High Mindfulness Group vs. Low Mindfulness Group) by the mean value of mindfulness (= 3.47). To analyze the effect of negative affect on compulsive buying, the degree of compulsive buying of the High and Low Negative Affect Groups were compared. To examine the moderating effect of mindfulness by using factorial design, the interaction effect of the negative affect (High vs. Low) and the mindfulness (High vs. Low) were analyzed. Results - The degree of the compulsive buying was higher when the degree of the negative affect was higher than lower (3.06High Negative Affect Group vs. 2.87Low Negative Affect Group, p=.014). The difference in the degree of the compulsive buying was larger when the degree of the mindfulness was lower than higher. In other words, the interaction effect of the negative affect and the mindfulness on the compulsive buying could be found (F(1,124)=10.098, p<.01). Conclusions - The results of the current study showed that the compulsive buying is influenced by the negative affect and that the effect of the negative affect on the compulsive buying varies depending on the level of the mindfulness. These results can be interpreted to imply that consumers who are in a state of high mindfulness pay attention to every minute of experience and activate the coordinatory function and that, eventually, habitual and reflective responses such as compulsive buying are restricted. It is concluded that consumers' mindfulness can facilitate the self-regulatory responses and alleviate the influence of negative affect on compulsive buying. Based on these results, the theoretical and practical implications of this research were discussed and the limitations and future research areas were suggested.

• The Korean Journal of Archival Studies
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• no.52
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• pp.119-170
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• 2017

This study aims to analyze the environment for the open-source records system and to identify the risk and requirements for the success of the strategy in Korea. For this, Chapter 2 presented a review of the strategic benefits of open source to public organizations, developers, and users. It also discussed the process of cooperatively developing and releasing the source code and the technology infrastructure supporting open source. In Chapter 3, six representative open-source projects in the field of records management were selected, and case studies were conducted. To derive comprehensive implications, we have divided the main development body of open-source projects into international organizations, international cooperation systems, national archives, and software development companies. We also analyzed the background and purpose of each project, the agents of development and funding, the governance model, the development period and cost, the business model and software architecture, the community composition, and the licensing strategy. Through this, we have derived four critical success factors. In terms of technology, a component-based design was required; therefore, we proposed a microservice architecture and a model-view-controller design pattern. Next, it was necessary to reestablish system requirements of records center and archives. Moreover, we also proposed a dual licensing strategy to allow developers to easily participate in open-source projects. Lastly, we emphasized a strong governance structure and an effective cooperation framework to create a sustainable community. For a record system to be open-source successfully in an organization-centered market, the roles of software developers and end users should be exercised more in the community. To achieve this, it is important to build various collaborative tools and development infrastructure from a planning stage to a centralized one.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.15-21
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• 2024

The purpose of this study is to propose a framework for the introduction and evaluation of artificial intelligence (AI) services not only in general applications but also in public policies. To achieve this, the study explores AI service management and governance toolkits, providing insights into how to introduce AI services in public policies. Firstly, it offers guidelines on the direction of AI service development and what aspects to avoid. Secondly, in the development phase, it recommends using the AI governance toolkit to review content through checklists at each stage of design, development, and deployment. Thirdly, when operating AI services, it emphasizes the importance of adhering to principles related to 1) planning and design, 2) the lifecycle, 3) model construction and validation, 4) deployment and monitoring, and 5) accountability. The governance perspective of AI services is crucial for mitigating risks associated with service provision, and research in risk management aspects should be conducted. While embracing the advantages of AI, proactive measures should be taken to address limitations and risks. Efforts should be made to efficiently formulate policies using AI technology to create high value and provide meaningful societal impacts.

• Journal of Intelligence and Information Systems
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• v.25 no.4
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• pp.35-52
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• 2019

As public services are provided in various forms, including e-government, the level of public demand for public service quality is increasing. Although continuous measurement and improvement of the quality of public services is needed to improve the quality of public services, traditional surveys are costly and time-consuming and have limitations. Therefore, there is a need for an analytical technique that can measure the quality of public services quickly and accurately at any time based on the data generated from public services. In this study, we analyzed the quality of public services based on data using process mining techniques for civil licensing services in N city. It is because the N city's building license complaint service can secure data necessary for analysis and can be spread to other institutions through public service quality management. This study conducted process mining on a total of 3678 building license complaint services in N city for two years from January 2014, and identified process maps and departments with high frequency and long processing time. According to the analysis results, there was a case where a department was crowded or relatively few at a certain point in time. In addition, there was a reasonable doubt that the increase in the number of complaints would increase the time required to complete the complaints. According to the analysis results, the time required to complete the complaint was varied from the same day to a year and 146 days. The cumulative frequency of the top four departments of the Sewage Treatment Division, the Waterworks Division, the Urban Design Division, and the Green Growth Division exceeded 50% and the cumulative frequency of the top nine departments exceeded 70%. Higher departments were limited and there was a great deal of unbalanced load among departments. Most complaint services have a variety of different patterns of processes. Research shows that the number of 'complementary' decisions has the greatest impact on the length of a complaint. This is interpreted as a lengthy period until the completion of the entire complaint is required because the 'complement' decision requires a physical period in which the complainant supplements and submits the documents again. In order to solve these problems, it is possible to drastically reduce the overall processing time of the complaints by preparing thoroughly before the filing of the complaints or in the preparation of the complaints, or the 'complementary' decision of other complaints. By clarifying and disclosing the cause and solution of one of the important data in the system, it helps the complainant to prepare in advance and convinces that the documents prepared by the public information will be passed. The transparency of complaints can be sufficiently predictable. Documents prepared by pre-disclosed information are likely to be processed without problems, which not only shortens the processing period but also improves work efficiency by eliminating the need for renegotiation or multiple tasks from the point of view of the processor. The results of this study can be used to find departments with high burdens of civil complaints at certain points of time and to flexibly manage the workforce allocation between departments. In addition, as a result of analyzing the pattern of the departments participating in the consultation by the characteristics of the complaints, it is possible to use it for automation or recommendation when requesting the consultation department. In addition, by using various data generated during the complaint process and using machine learning techniques, the pattern of the complaint process can be found. It can be used for automation / intelligence of civil complaint processing by making this algorithm and applying it to the system. This study is expected to be used to suggest future public service quality improvement through process mining analysis on civil service.

• Journal of Intelligence and Information Systems
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• v.17 no.2
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• pp.61-75
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• 2011

A Geographic Information System(GIS) is a system that captures, stores, analyzes, manages and presents data with reference to geographic location data. In the later 1990s and earlier 2000s it was limitedly used in government sectors such as public utility management, urban planning, landscape architecture, and environmental contamination control. However, a growing number of open-source packages running on a range of operating systems enabled many private enterprises to explore the concept of viewing GIS-based sales and customer data over their own computer monitors. K telecommunication company has dominated the Korean telecommunication market by providing diverse services, such as high-speed internet, PSTN(Public Switched Telephone Network), VOLP (Voice Over Internet Protocol), and IPTV(Internet Protocol Television). Even though the telecommunication market in Korea is huge, the competition between major services providers is growing more fierce than ever before. Service providers struggled to acquire as many new customers as possible, attempted to cross sell more products to their regular customers, and made more efforts on retaining the best customers by offering unprecedented benefits. Most service providers including K telecommunication company tried to adopt the concept of customer relationship management(CRM), and analyze customer's demographic and transactional data statistically in order to understand their customer's behavior. However, managing customer information has still remained at the basic level, and the quality and the quantity of customer data were not enough not only to understand the customers but also to design a strategy for marketing and sales. For example, the currently used 3,074 legal regional divisions, which are originally defined by the government, were too broad to calculate sub-regional customer's service subscription and cancellation ratio. Additional external data such as house size, house price, and household demographics are also needed to measure sales potential. Furthermore, making tables and reports were time consuming and they were insufficient to make a clear judgment about the market situation. In 2009, this company needed a dramatic shift in the way marketing and sales activities, and finally developed a dedicated GIS_based market analysis and sales management system. This system made huge improvement in the efficiency with which the company was able to manage and organize all customer and sales related information, and access to those information easily and visually. After the GIS information system was developed, and applied to marketing and sales activities at the corporate level, the company was reported to increase sales and market share substantially. This was due to the fact that by analyzing past market and sales initiatives, creating sales potential, and targeting key markets, the system could make suggestions and enable the company to focus its resources on the demographics most likely to respond to the promotion. This paper reviews subjective and unclear marketing and sales activities that K telecommunication company operated, and introduces the whole process of developing the GIS information system. The process consists of the following 5 modules : (1) Customer profile cleansing and standardization, (2) Internal/External DB enrichment, (3) Segmentation of 3,074 legal regions into 46,590 sub_regions called blocks, (4) GIS data mart design, and (5) GIS system construction. The objective of this case study is to emphasize the need of GIS system and how it works in the private enterprises by reviewing the development process of the K company's market analysis and sales management system. We hope that this paper suggest valuable guideline to companies that consider introducing or constructing a GIS information system.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.177-198
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• 2018

Recently, as economic property it has become necessary to acquire and utilize the framework for water resource measurement and performance management as the property of water resources changes to hold "public property". To date, the evaluation of water technology has been carried out by feasibility study analysis or technology assessment based on net present value (NPV) or benefit-to-cost (B/C) effect, however it is not yet systemized in terms of valuation models to objectively assess an economic value of technology-based business to receive diffusion and feedback of research outcomes. Therefore, K-water (known as a government-supported public company in Korea) company feels the necessity to establish a technology valuation framework suitable for technical characteristics of water resources fields in charge and verify an exemplified case applied to the technology. The K-water evaluation technology applied to this study, as a public interest goods, can be used as a tool to measure the value and achievement contributed to society and to manage them. Therefore, by calculating the value in which the subject technology contributed to the entire society as a public resource, we make use of it as a basis information for the advertising medium of performance on the influence effect of the benefits or the necessity of cost input, and then secure the legitimacy for large-scale R&D cost input in terms of the characteristics of public technology. Hence, K-water company, one of the public corporation in Korea which deals with public goods of 'water resources', will be able to establish a commercialization strategy for business operation and prepare for a basis for the performance calculation of input R&D cost. In this study, K-water has developed a web-based technology valuation model for public interest type water resources based on the technology evaluation system that is suitable for the characteristics of a technology in water resources fields. In particular, by utilizing the evaluation methodology of the Institute of Advanced Industrial Science and Technology (AIST) in Japan to match the expense items to the expense accounts based on the related benefit items, we proposed the so-called 'K-water's proprietary model' which involves the 'cost-benefit' approach and the FCF (Free Cash Flow), and ultimately led to build a pipeline on the K-water research performance management system and then verify the practical case of a technology related to "desalination". We analyze the embedded design logic and evaluation process of web-based valuation system that reflects characteristics of water resources technology, reference information and database(D/B)-associated logic for each model to calculate public interest-based and profit-based technology values in technology integrated management system. We review the hybrid evaluation module that reflects the quantitative index of the qualitative evaluation indices reflecting the unique characteristics of water resources and the visualized user-interface (UI) of the actual web-based evaluation, which both are appended for calculating the business value based on financial data to the existing web-based technology valuation systems in other fields. K-water's technology valuation model is evaluated by distinguishing between public-interest type and profitable-type water technology. First, evaluation modules in profit-type technology valuation model are designed based on 'profitability of technology'. For example, the technology inventory K-water holds has a number of profit-oriented technologies such as water treatment membranes. On the other hand, the public interest-type technology valuation is designed to evaluate the public-interest oriented technology such as the dam, which reflects the characteristics of public benefits and costs. In order to examine the appropriateness of the cost-benefit based public utility valuation model (i.e. K-water specific technology valuation model) presented in this study, we applied to practical cases from calculation of benefit-to-cost analysis on water resource technology with 20 years of lifetime. In future we will additionally conduct verifying the K-water public utility-based valuation model by each business model which reflects various business environmental characteristics.