• Journal of Digital Convergence
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• v.15 no.7
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• pp.201-211
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• 2017

Wireless network using dynamic IP and mobile IP technology provides the user with convenience of access and movement. However, this causes the attacker who disguises normal user(pretending to be a regular user) to have more opportunity in regard to access and acquisition of information. This paper help the network administrator and the service provider quickly to recognize the attacker's intention to access network and service. Therefore network administrator and service provider can specify and respond the location of the attacker appropriately. To achieve above, we define an entity (W_L_M) that manages user information of WiFi and LTE network, and propose messages and procedures for attacker's location identification and alarm. The performance evaluation of this paper is based on qualitative analysis. By using the proposed method, some cost (message creation, processing and transmission) occurred but it was analyzed to be less than the total network operation cost. The proposal of this paper is a management method that utilizes existing network information and structure. This method can be used as a reference material to enhance security.

• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.221-228
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• 2019

Companies are making great efforts to integrate CSR into various aspects of their management strategies. A lot of research has been conducted on what management intends to do indirectly and indirectly. Was performed. In this study, we conducted additional research considering executive compensation as an indicator of the motivation for management to participate in CSR. The main purpose of this study was to analyze whether accounting performance measures or market performance measures are given more weight when providing rewards for performance to corporate managers conducting CSR activities. The analysis of the relationship between CSR and executive performance-reward sensitivity showed that corporate executives who actively implement CSR pay more weight to market performance measures rather than accounting performance measures. Considering the long-term performance of CSR when paying executives' compensation, the company pays more for market performance than accounting performance. This study is expected to be useful for executives to design compensation contracts to actively induce CSR implementation.

• Journal of Industrial Convergence
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• v.20 no.3
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• pp.41-46
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• 2022

This paper proposes a consumer-tailored solution to prevent the forgery and falsification of data by incorporating blockchain technology in the online and offline distribution of agricultural produce. The solution provides customized services to consumers based on an analysis of the data generated from the sales, distribution, and consumption of quality of the produce. It can also ensure the safety and credibility of the produce, and allow producers to identify consumption intent and the flow of distribution. Producers will be able to determine the flow of produce based on the data collected and thus tailor promotional efforts. This is expected to be the fourth industrial revolution in the agricultural produce distribution sector. Utilizing blockchain and big data technology to create integrated record management systems that combine multiple solutions will shape future technology trends. In addition, if eco-friendly certification is acknowledged as a valuable service and can be incorporated into the distribution process, this solution could become a one-stop distribution solution for agricultural produce.

• Journal of Korea Port Economic Association
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• v.31 no.3
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• pp.15-39
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• 2015

This paper investigates the determinants of port service quality from a resources-based approach. The research model is derived from the relevant literature in port management, service quality, and resource-based theory. It is hypothesized that tangible and intangible resources contribute to port service quality, which in turn leads to the enhancement of reputation and loyalty to ports. To test this, a questionnaire survey is undertaken on three major ports in Korea: Busan, Incheon, and Gwangyang; the collected data are then analyzed using partial least squares. It is suggested that both tangible resources and intangible resources have a positive influence on general service quality and that general service quality has a positive influence on customer satisfaction, thus improving port reputation and loyalty. The contribution to the literature is that resource-based theory is applied to a port service quality model and the model is verified. In addition, an augmented model is adopted to examine the effect of individual resources on service quality. It is also possible for port managers to use the constructs to monitor their resources and develop more specific strategies to gain reputation and loyalty from customers.

• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.1-20
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• 2021

As the Great Reset is discussed at the World Economic Forum due to the COVID-19 pandemic, artificial intelligence, the driving force of the 4th industrial revolution, is also in the spotlight. However, corporate research in the field of artificial intelligence is still scarce. Since 2000, related research has focused on how to create value by applying artificial intelligence to existing companies, and research on how startups seize opportunities and enter among existing businesses to create new value can hardly be found. Therefore, this study analyzed the cases of startups using the comprehensive framework of the multi-level perspective with the research question of how artificial intelligence based startups, a sub-industry of software, have different innovation patterns from the existing software industry. The target firms are gazelle firms that have been certified as venture firms in South Korea, as start-ups within 7 years of age, specializing in machine learning modeling purposively sampled in the medical, finance, marketing/advertising, e-commerce, and manufacturing fields. As a result of the analysis, existing software companies have achieved process innovation from an enterprise-wide integration perspective, in contrast machine learning technology based startups identified unit processes that were difficult to automate or create value by dismantling existing processes, and automate and optimize those processes based on data. The contribution of this study is to analyse the birth of artificial intelligence-based startups and their innovation patterns while validating the framework of an integrated multi-level perspective. In addition, since innovation is driven based on data, the ability to respond to data-related regulations is emphasized even for start-ups, and the government needs to eliminate the uncertainty in related systems to create a predictable and flexible business environment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.38-52
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• 2018

This study examined the effect sizes of psychological burnout-related factors on the psychological burnout of early childhood teachers by applying meta - analysis focusing on master 's theses, doctoral dissertations and journals that have been published in Korea for the past 20 years. The results of the analysis are as follows. First, the total effect size, the factor group, the sub-factor, and the positive and negative effect factors of the inducing and inhibiting factors showed a significant effect size. Second, in terms of inducing factors, the task problem group showed a larger effect size than the negative relationship group. Third, among the lower factor of the negative relationship group, all the sub factors excluding the negative relationship with the director, effect size showed a medium effect size. Fourth, task stress showed the greatest effect size among the sub factors of the task factor group, followed by role conflict, task overload, and role ambiguity. Fifth, resilience showed the greatest effect size among the inhibition factors, followed by organizational support factor, teacher efficacy factor, social support factor, and emotional factor. Sixth, all sub factors of the emotional labor factor group, organizational support factor of the organizational support factor group, general teacher efficacy factor of the teacher efficacy factor group, and all sub factors of social support factor Medium effect size. In addition, the lower factor of all the other factors showed a large effect size. Seventh, of the effect factors, job satisfaction factor, depression factor, and turnover intention factor all showed a large effect size.

• 한국노년학
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• v.31 no.2
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• pp.223-241
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• 2011

The purpose of this research is to analyze the effect of an autobiography writing program as a method of education for older adults. The authors participated in the processes of all 10 sessions of the autobiography writing program as instructors or program assistants at a senior welfare center in Seoul, 2007. Data used for analysis were learners' narrations in class, written autobiographies by learners, and researchers' memo-notes. We analyzed their narrative flows using Haenninen(2000)'s theory of narrative flow and reconstructed their categories of activities as life histories. 'The innen narration' constructed by learners was a spiritual process in which they have imbued their life and living conditions with meaning. The learners reminisced their lives as 'unreflective narration' in the beginning of education. However, as the class went on, they gradually reminisced them as "reflective narration" and finally developed them as 'meta-reflective narration' through the intentional reflection. Likewise, we could interpret the transition of learners into meta-reflecter as the completion of ego-integration. As a conclusion, we found the effects of the autobiography writing education for older adults in educational, social, and psychological aspects.

• 대한공업교육학회지
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• v.32 no.2
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• pp.23-46
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• 2007

The purpose of this study was to present improvement directions of college scholastic ability test on industry department. Industry department test were classify and abstracted sampling test on contents and movement domain, analyzed example items of college scholastic ability test on industry department. Research methods used in this study were review of related literature, the item analysis and item pattern analysis between college scholastic ability test on introduction to industry and curriculum, contents of textbook. After finding a problem of developing items, trying to find a solution to the problem and developing an up-to-date method of items was to present improvement. Based on the result of the study, some recommendations for future researches were made as follows: First, a phenomenon of making same contents items over again and no making items not on made the items ever have to cut. Second, Time to read and make sense of items have to reduce because depend on the degree of difficulty related on time to understand of items. Third, the depth of textbook contents has to develop on curriculum this year. Fourth, the succeeding study on linkage between college scholastic ability test and simulation of college scholastic ability test. Fifth, verification validity on contents of new movement domain is developed new and striking test items.

• Knowledge Management Research
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• v.22 no.2
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• pp.119-144
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• 2021

Recently, as competition in the market evolves from the competition among companies to the competition among their supply chains, companies are struggling to enhance their supply chain management (hereinafter SCM). In particular, as blockchain technology with various technical advantages is combined with SCM, a lot of domestic manufacturing and distribution companies are considering the adoption of blockchain-oriented SCM (BOSCM) services today. Thus, it is an important academic topic to examine the factors affecting the use of blockchain-oriented SCM. However, most prior studies on blockchain and SCMs have designed their research models based on Technology Acceptance Model (TAM) or the Unified Theory of Acceptance and Use of Technology (UTAUT), which are suitable for explaining individual's acceptance of information technology rather than companies'. Under this background, this study presents a novel model of blockchain-oriented SCM acceptance model based on the Technology-Organization-Environment (TOE) framework to consider companies as the unit of analysis. In addition, Value-based Adoption Model (VAM) is applied to the research model in order to consider the benefits and the sacrifices caused by a new information system comprehensively. To validate the proposed research model, a survey of 126 companies were collected. Among them, by applying PLS-SEM (Partial Least Squares Structural Equation Modeling) with data of 122 companies, the research model was verified. As a result, 'business innovation', 'tracking and tracing', 'security enhancement' and 'cost' from technology viewpoint are found to significantly affect 'perceived value', which in turn affects 'intention to use blockchain-oriented SCM'. Also, 'organization readiness' is found to affect 'intention to use' with statistical significance. However, it is found that 'complexity' and 'regulation environment' have little impact on 'perceived value' and 'intention to use', respectively. It is expected that the findings of this study contribute to preparing practical and policy alternatives for facilitating blockchain-oriented SCM adoption in Korean firms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6330-6339
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• 2013

The aims of this study were to identify the significant predictors of the sexual behavior of middle school students. The subjects consisted of 603 middle school students (male 344, female 259). The data was collected through self-report questionnaires, which were constructed to include the attitudes to sexual behavior, sexual permissiveness, perceived behavioral control, sexual behavioral intention, father's child-rearing attitudes, mother's child-rearing attitudes, friends' attitudes to sex, exposure to pornography, and sexual behavior. The data was analyzed using the SPSS 19.0 program. The significant predictors of sexual behavior of middle school students that explained 51.0% of the variance in sexual behavior were the friends' attitudes to sex, alcohol drinking experience, experience of sexual abuse, sexual permissiveness, exposure to pornography, sexual behavioral intention, perceived behavioral control, father's child-rearing attitudes, and mother's child-rearing attitudes. These findings suggest that the approach to a sexual education promotion program for middle school students should consider multisystemic predictors.