• Knowledge Management Research
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• v.23 no.3
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• pp.213-229
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• 2022

This study aimed to reveal factors that contribute to the creation of collective intelligence (CI) and to provide a cornerstone for future studies on this subject. We hypothesized that effects of the complexity and meaningfulness of the task, diversity, openness to experience, independence, decentralization, and the use of information and communication technology (ICT) are preconditions for the creation of CI. To investigate these hypotheses, we surveyed 200 individuals in the research and development-based manufacturing industry and collected a total of 185 valid responses. The results of the analysis showed that the meaningfulness of the task, openness to experience, independence, decentralization, and the use of ICT had positive effects on CI. Both perceived dissimilarity and value diversity had negative effects on CI. When all variables were included, their significance for the creation of CI showed the following order: use of ICT, the meaningfulness of the task, openness to experience, perceived dissimilarity, and value difference. The theoretical and empirical implications of these results were discussed.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.569-582
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• 2018

The purpose of this study is to examine the mediating effect of personality and emotional intelligence in the relationship with job stress of teachers and burnout to prevent the burnout of teachers and provide primary data for counseling intervention. Thus, the survey was conducted on 488 teachers and the hypothesis of this study was verified using structural equation model. The research findings are as shown below. First, the job stress, neuroticism and burnouts were positively related while the extroversion, conscientiousness, emotional intelligence were negatively related. And the neuroticism was negatively related with emotional intelligence but positively related with burnout. And the extroversion, openness, conscientiousness had positive relationship with emotional intelligence but negative relationship with burnout. However, the agreeableness did not have significant relationship with emotional intelligence and burnout. Second, the emotional intelligence partially mediated in the relationship with job stress and burnout. Third, the neuroticism, extroversion and conscientiousness partially mediated in the relationship with job stress and burnout, but the openness and agreeableness were found not to mediate. Based on these results, the practicability of counselling and further research was discussed in this study.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.191-202
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• 2023

This study aims to propose a framework for evaluating the impact of artificial intelligence (AI) services, based on the concept of AI service impact. It also suggests a model for evaluating this impact and identifies relevant factors and measurement approaches for each item of the model. The study classifies the impact of AI services into five categories: ethics, safety and reliability, compliance, user rights, and environmental friendliness. It discusses these five categories from a broad perspective and provides 21 detailed factors for evaluating each category. In terms of ethics, the study introduces three additional factors-accessibility, openness, and fairness-to the ten items initially developed by KISDI. In the safety and reliability category, the study excludes factors such as dependability, policy, compliance, and awareness improvement as they can be better addressed from a technical perspective. The compliance category includes factors such as human rights protection, privacy protection, non-infringement, publicness, accountability, safety, transparency, policy compliance, and explainability.For the user rights category, the study excludes factors such as publicness, data management, policy compliance, awareness improvement, recoverability, openness, and accuracy. The environmental friendliness category encompasses diversity, publicness, dependability, transparency, awareness improvement, recoverability, and openness.This study lays the foundation for further related research and contributes to the establishment of relevant policies by establishing a model for evaluating the impact of AI services. Future research is required to assess the validity of the developed indicators and provide specific evaluation items for practical use, based on expert evaluations.

• Knowledge Management Research
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• v.19 no.3
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• pp.173-187
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• 2018

This study was aimed at suggesting an integrative framework for creating collective intelligence and enhancing group performance after reviewing previous studies including those related to learning organizations, organizational learning, knowledge management, and collective intelligence. In the first, we examined that the similarities and differences between collective intelligence and other similar concepts, such as learning organizations, organizational learning, and knowledge management. Next, an integrative framework for creating collective intelligence and channeling it into strong group performance were suggested. In this process, we reviewed conditions for creating collective intelligence and segmented the major variables as expectancy, valence, and instrumentality, according to Vroom's (1964) expectancy theory. Characteristics of problems and the roles of leaders were respectively considered as valence for inducing collaboration and expectancy for managing probability to achieve goals. Instrumental factors were also adopted from conditions for creating group intelligence suggested from several researchers, such as creativity, openness, willingness for working together, horizontal communication, centralization in decision making, and building effective information and communication technology system and active usage of it. We discussed two potentially disputable matters about the scope and level of collective intelligence and group performance and suggest several theoretical and practical implications in the Discussion.

• Knowledge Management Research
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• v.9 no.2
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• pp.1-13
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• 2008

The purpose of this study is to investigate the use of elements related to the competitive intelligence(CI) process, methods, and infrastructure in accordance with the degree of CI effectiveness of domestic firms and to propose a guideline for designing and operating an effective CI program in Korean films. The results of this study reveal that, for the elevation of CI effectiveness of Korean firms, it is important to actively utilize the overall CI process, including undisclosed information through human networks, public information through various media, and quantitative and qualitative analyses, an independent CI unit, various CI support systems, such as information and reward systems, and organizational culture of CI openness within an organization. However, CI outsourcing, CI primary objectives, and CI scale do not seem to have a significant influence on CI effectiveness of Korean firms. Based on these results, this research presents some important implications for effective competitive intelligence for Korean firms.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.151-153
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• 2023

Federated learning (FL)-based network intrusion detection techniques have enormous potential for securing the Industrial Internet of Things (IIoT) cybersecurity. The openness and connection of systems in smart industrial facilities can be targeted and manipulated by malicious actors, which emphasizes the significance of cybersecurity. The conventional centralized technique's drawbacks, including excessive latency, a congested network, and privacy leaks, are all addressed by the FL method. In addition, the rich data enables the training of models while combining private data from numerous participants. This research aims to create an FL-based architecture to improve cybersecurity and intrusion detection in IoT networks. In order to assess the effectiveness of the suggested approach, we have utilized well-known cybersecurity datasets along with centralized and federated machine learning models.

• Proceedings of the KSME Conference
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• 2000.04a
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• pp.884-889
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• 2000

This paper describes the design and implementation of PCOAMC(PC-based Open Architecture Machine Controller) to be flexible and independent from the vendor-oriented hardware and software structure. This openness approach is able to enhance an intelligence and integration of a manufacturing system. The development methodology of PcOAMC is an Object-Oriented approach, and all modules in PcOAMC are modelled using UML(Unified Modelling Language) that provides an easy understanding and modification. In order to demonstrate an applicability of PcOAMC, a simple test has been executed by using the Client-Server system consisting of two PcOAMCS and bus monitoring system. The good results have been obtained, so that the developed controller is expected to be embedded into IMS(Intelligent Manufacturing System) as a basic unit.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.145-160
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• 2017

This paper aims to investigate the effects of Smart-Work IT resources on job performance. The survey was conducted amongst the business workers who are currently engaged in domestic major companies as well as small businesses, and analyzed based on the frequency, factor and reliability. Using PROCESS Macro, we conducted an analysis of the relationship between the IT resources and job performance, treating collective intelligence as a mediating parameter. The results of the study are as follows. First, the IT resources of the companies were found to have a meaningful effect on job performance. Second, the IT resources were found to have no effect on employee productivity except through their effect on the collective intelligence. Finally, while openness and cooperation were found to be the aspects of collective intelligence which mediated between IT resources and workflow improvement, participation, openness and cooperation were found to be the aspects of collective intelligence which mediated between IT resources and workflow coordination, In the future, it is necessary to compare quantitatively the financial performance of Smart-Work adopters and others in the same industry or to compare the financial performance before and after introducing Smart-Work dynamically within the same company.

• Journal of the Korean Society of Costume
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• v.56 no.9 s.109
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• pp.1-13
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• 2006

The purpose of this study is to apply a concept of open structure to clothing design and to verify the characteristics found in the various types of clothing which has open structure. The literatures from various academic fields including philosophy, literature, social science, architecture, and fine arts are investigated to define the concept of openness and to analyze it from the perspectives both of the visual and of the moaning of openness. This paper is to identify the types and the characteristics of clothing by future intention, complexity, discontinuity of open structure. By closely examining fashion design after 1980s found in fashion collection publications and designer's websites, the results of this study are as follows: first, the concept of openness can be classified into two different levels, that is, visual and meaning, secondly, in clothing the concept of open structure is applied to the meaning side by future intention, by complexity and by discontinuity. Open structure through future Intention has new content and interpretation and must have the possibility of intelligence awakening, future guidance and basic contents. Open structure through complexity has secondary function exists concurrent with the shape key example is the smart clothes with the digital functions. It has functions of amusement, supplement and protective, and is future clothes which satisfies with health, welfare, desire of beauty. Open structure with discontinuity is clothes with dramatic changes in system, structures and states. Structure can be changed by silhouette, detail, or fabric, material, or dramatic and practical function as tools in terms of productions and environment. This study can help to formulate and to integrate the concept of open structure in clothing with various phases and enhance the value of clothes by showing an application of the concept of openness to the clothing in meaning level.

• Asia pacific journal of information systems
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• v.33 no.3
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• pp.624-651
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• 2023

The study makes several contributions to not only the adoption literature by examining the influence of Emotional Intelligence (EI) and Big-Five traits on adoption of Augmented Reality (AR) but also given its utility in both industry and research, it contributes to the interesting inter-disciplinary domain of psychology, information systems, and human behaviour. A quantitative based approach using a sample of 275 respondents was undertaken. It is found that emotional intelligence influence both perceived ease-of-use and perceived usefulness. They in turn influence intention to use. Another important observation is that personality traits (openness and agreeableness) have a significant moderating effect on the relation between attitude and intention to use AR. This research will help academicians and executives working on the adoption of AR in various sectors ranging from retail industry to the education sector. The originality of this study is that it explores the impact of EI on the acceptance of AR and helps in extending the literature in interdisciplinary research.