• Asia pacific journal of information systems
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• v.15 no.3
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• pp.163-186
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• 2005

When firms are confronted with IT investment decision-makings, technical or financial factors are widely considered. However, based on sociotechnical systems theory, it is argued that in addition to the traditional factors, social issues must be considered in the IT investment decision-makings. Even though the strategic criteria of social issues within organization are important for IT investment decision-makings, the social or organizational issues are hardly considered in IT implementation and adoption(Ryan and Harrison, 2000). The objective of this study is to empirically verify how the comprehensive consideration of both of technical and organizational issues related with IT investment affects firm performance through its impact on IT technical capability and IT personnel skills. Senior managers of 153 Korean firms were surveyed, and the collected data were analyzed with PLS technique. The results of the PLS path analysis show that the comprehensive consideration of the technical and social issues affected indirectly firm performance through IT technical capability and IT personnel skills. It is found that the comprehensive consideration had a significant impact on IT technical capability and IT personnel skills, and that IT technical capability and IT personnel skills affected firm performance. IT personnel was also found to affect IT technical capability. Finally, this study found that the consideration of social factors had greater impacts on firm performance than that of technical factors.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.28-30
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• 2003

Hot Spring Law of Taiwan was passed in legislative assembly on 3 June 2003. Hot springs would become one of the most important natural resources for recreation purposes. Both public and private sectors will invest large amount of capital in this area in the near future. The value of remote sensing technology is to give a critical tool for observing the landscape to find out mega-scaled geological structures, which may not be able to be found by conventional approaches. The occurrences of the hot springs in Taiwan are mostly in metamorphic and sedimentary rocks , other than in volcanic environments. Local geothermal anomaly or heat of springs transfer by liquid convection other than conduction or radiation. The deeply -seated fractures of hard rocks are the conduit of the convection of hot water, which could be as deep as 3000 meters in a hypothetical model of Taiwan. Clues to find outcrops of hot spring can be obtained by a structure-controlled model deduced by geological lineaments observed by satellite images and stereoscopic interpretation of aerial photographs. A case study conducted in Eastern Taiwan will be demonstrated.

• Journal of Information Technology Applications and Management
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• v.15 no.4
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• pp.205-220
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• 2008

Categorizing Korean IS practitioners into junior specialists, mid-level specialists, senior specialists, and generalists following the results of existing researches, this paper shows that Korean IS recruiters require their applicants to possess higher level of "product-orientation" than the level required to junior specialists near to the level required to mid-level specialists. Results show that Korean IS recruiters know the IS knowledge and skills requirements on Korean IS practitioners well, and that Korean IS recruiters respond to the needs of their companies agilely. Results also show that Korean universities fail to foster their students to meet the needs of industry.

• JSTS:Journal of Semiconductor Technology and Science
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• v.10 no.1
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• pp.20-27
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• 2010

Modeling is essential to simulate the operation of integrated circuit (IC) before its fabrication. Seeing a large number of Metal-Oxide-Silicon Field-Effect-Transistor (MOSFET) models available, it has become important to understand them and compare them for their pros and cons. The task becomes equally difficult when the complexity of these models becomes very high. The paper reviews the mainstream models with their physical relevance and their comparisons. Major short-channel and quantum effects in the models are outlined. Emphasis is set upon the latest compact models like BSIM, MOS Models 9/11, EKV, SP etc.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.507-515
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• 2021

Knowledge-Worker Productivity (KWP) has been influenced by Knowledge Management Process (KMP); however, past studies derived inconsistent findings of the relationship between the two variables. Additionally, the effect of KMP on KWP in the context of universities in Sri Lanka has not been adequately studied. Therefore, this present study aims to fill that gap by examining KMP elements' effect, namely knowledge creation, knowledge sharing, and usage on KWP, specifically the timeliness, proficiency, and independence of employees. This study also examines the role of employee engagements (i.e., intellectual, social, and affective) in mediating the effect of KMP on KWP. The questionnaire survey method was utilized to collect data from relevant university employees, i.e., lecturers, senior lecturers, and professors, whereby 264 valid responses were used in the analysis. The associations between KMP, Employee Engagement, and KWP were analyzed using the path analysis and bootstrapping methods. The outcomes demonstrated positive correlations between all three variables. Employee Engagement was shown to have a partial mediating effect on the KMP-KWP association. The general conclusion is that KWP is influenced by its capacity to increase employee engagement via KMP.

• International Journal of Computer Science & Network Security
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• v.23 no.7
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• pp.71-78
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• 2023

Employee turnover is one of the most important challenges facing modern organizations. It causes job experiences and skills such as distinguished faculty members in universities, rare-specialized doctors, innovative engineers, and senior administrators. HR analytics has enhanced the area of data analytics to an extent that institutions can figure out their employees' characteristics; where inaccuracy leads to incorrect decision making. This paper aims to develop a novel model that can help decision-makers to classify the problem of Employee Turnover. By using feature selection methods: Information Gain and Chi-Square, the most important four features have been extracted from the dataset. These features are over time, job level, salary, and years in the organization. As one of the important results of this research, these features should be planned carefully to keep organizations their employees as valuable assets. The proposed model based on machine learning algorithms. Classification algorithms were used to implement the model such as Decision Tree, SVM, Random Frost, Neuronal Network, and Naive Bayes. The model was trained and tested by using a dataset that consists of 1470 records and 25 features. To develop the research model, many experiments had been conducted to find the best one. Based on implementation results, the Neural Network algorithm is selected as the best one with an Accuracy of 84 percents and AUC (ROC) 74 percents. By validation mechanism, the model is acceptable and reliable to help origination decision-makers to manage their employees in a good manner.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.163-167
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• 2002

Recently, owing to performance elevation of telecommunication technology, increase of wireless internet's subscriber and diffusion of wireless device, Interest about LBS (Location Based Service) which take advantage of user's location information and can receive information in concerning with user's location is increasing rapidly. So, MOMS (Moving Object Management System) that manage user's location information is required compulsorily to provide location base service. LBS of childhood such as service to find a friend need only current location, but to provide high-quality service in connection with Data Mining, CRM, We must be able to manage location information of past. In this paper, we design distributed manage system to insert and search Moving Object in a large amount. It has been consisted of CLIM (Current Location Information Manager), PLIM (Past-Location Information Manager) and BLIM (Distributed Location Information Manager). CLIM and PLIM prove performance of searching data by using spatiotemporal-index. DLIM distribute an enormous amount of location data to various database. Thus it keeps load-balance, regulates overload and manage a huge number of location information efficiently.

• STI Policy Review
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• v.8 no.1
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• pp.41-61
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• 2017

The literature in research policy extensively addresses the interaction between public R&D and the society. Scholars have paid particular attention to the way science and technology are diffused into the society and industry with the aim of substantiating their potential value. In practice, having recognized the importance of the said interaction, R&D entities and governmental organizations promote scientific and technological innovations that result from their R&D activities. Yet, the nature of news media exposure as their primary channel to promote R&D outcomes has been remarkably understudied. Using the results of R&D projects supported by the National Research Foundation of Korea (NRF), this study examines R&D entities' strategic use of the news media to publicize their outcomes. The empirical results suggest that the scale of an R&D project positively affects the counts of media exposure of its R&D outcomes, whereas the level of technology readiness and the technology life-cycle do not have significant influence. In addition, the results suggest that, compared to senior researchers, young researchers are more likely to publicize their R&D outcomes and that R&D outcomes from highly ranked universities are more likely to be publicized than those from lower-ranking universities despite our control for R&D outcomes. The aforementioned results suggest that in promoting the diffusion of science and technology, especially to the public, policymakers should be concerned about incentives for those who provide techno-scientific information, such as researchers. The social need for the diffusion of techno-scientific information into the public (e.g., technology transfer and diffusion) is an insignificant factor in determining the media exposure of such information, whereas personal benefits and sensitive issues related to a researcher's own R&D activities (e.g., justification for R&D activities) drive researchers to publicize their R&D outcomes. This paper suggests that policymakers, especially those concerned with better diffusion of scientific and technological innovations need to design a proper incentive system to maximize the societal benefits of media exposure.

• The Journal of Information Systems
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• v.33 no.2
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• pp.191-218
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• 2024

Purpose This study aims to investigate the relationship between digital literacy and the acceptance of care robots, as well as the mediating role of technology self-efficacy in this relationship. The findings of this research aim to provide foundational data for enhancing older adults' acceptance of new technologies, underscore the significance of bolstering older adults' digital literacy in relation to the adoption of care robot technology, and offer evidence to support interventions aimed at improving technology self-efficacy. Design/methodology/approach This study seeks to investigate the mediating effect of technology self-efficacy on the relationship between digital literacy and acceptance of care robot technology among older adults. Kyunghee University's '2022 Korean Senior Technology Acceptance Panel Survey' was used, targeting 509 people aged 60 or older. Data analysis was performed using SPSS 20.0 software. Independent samples t-tests were used to characterize key variables of interest and correlation analysis was used to evaluate their relationships. To verify the mediation effect, mediation regression analysis along with the Sobel test was used. Findings The study found that improving older adults' digital literacy positively impacts their acceptance of care robot technology through enhanced technology self-efficacy. Active education and experience with digital devices are highlighted as crucial for enhancing older adults' sense of accomplishment and, consequently, their technology self-efficacy. The findings underscore the importance of programs and educational initiatives focused on enhancing digital literacy among older adults to boost technology self-efficacy and increase acceptance of care robot technology within this population.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.43-54
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• 2021

Currently, citizens' expectations and concerns on utilizing artificial intelligence (AI) technologies in the public sector are widening with the rapid digital transformation. Furthermore the level of global acceptance on the AI and other intelligent digital technologies is augmenting with the needs of non-face-to-face types of public services more than ever due to the unforeseen and unpredictable pandemic, COVID-19. Thus, this study intended to empirically examine what policy directions for the public should be considered to provide well-designed services as well as to promote the evidence-based public policies in terms of Al speaker technology as a non-contact smart city service. Based on the survey of senior citizens' perceptions on AI (AI Speaker technology), this study conducted structure equation modeling analyses to identify whether technology acceptance models on to the varied dependent variables such as actual use, perception, attitude, and brand royalty. The Results of the empirical analyses showed that AI increased the positive level of citizens' perception, attitude and brand royalty on non-contact public services (smart city services) which are becoming more crucial for developing AI oriented government and providing intelligent public services effectively. In addition, theoretical and practical implications are discussed for understanding the changes of public service in the post-corona.