• The Journal of Bigdata
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• v.9 no.1
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• pp.169-186
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• 2024

This study aims to analyze the acceptance factors for expanding the adoption of AI by SMEs and draw practical and policy implications. To this, we conducted an empirical analysis of AI acceptance factors among 315 SMEs in various industries such as manufacturing, service, and information and communication sectors located in Korea. Based on the UTAUT, we examined the influence of decision-making reliability, perceived awareness, policy support, education and training, perceived cost, perceived risk, and system complexity, and found that decision-making reliability positively affects performance expectancy and social influence, perceived awareness positively affects performance expectancy and effort expectancy, policy support positively affects social influence and facilitating conditions, and education and training positively affects effort expectancy and facilitating conditions. Perceived cost had a negative effect on social influence and facilitating conditions, and perceived risk had a negative effect on performance expectancy and social influence. System complexity had a negative effect on effort expectancy but no effect on facilitating conditions. These results are expected to be widely utilized as basic research for the diffusion of AI in industry and provide practical and policy implications for promoting the adoption of AI in SMEs.

• Information Systems Review
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• v.26 no.1
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• pp.315-335
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• 2024

This study analyzes the digital business environment in Korea and predicts the digital business trends to be noted in 2024. The study comprehensively reviews the domestic and international ICT market outlook and provides objective and in-depth analysis by compiling opinions from various experts. In particular, through a multi-dimensional approach, it derives practical trends applicable to the local business environment, provides strategic implications considering the characteristics of digital business in Korea, and suggests directions for Korean companies to adapt to the global business environment and strengthen their competitiveness. During the research process, 20 preliminary candidate trends were initially identified by collecting and analyzing reports from major domestic and international market research institutes. We then conducted in-depth interviews with 10 experts from industry and academia to select 15 shortlisted trends from these 20 trends and 10 trends selected from the previous year. Finally, we conducted a large-scale survey of 209 experts from academia and industry, and we selected 11 domestic digital business trends to focus on in 2024. This study, which presents an outlook of digital business trends suitable for the Korean business environment based on a variety of opinions scientifically gathered from Korean digital business leaders, will contribute to understanding IT trends in Korea from a business perspective and their differences from global trends.

• Journal of Technology Innovation
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• v.29 no.4
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• pp.161-196
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• 2021

This study presents a new methodology for developing AI-based products. It identifies the distinctive attributes of AI innovation that are different from existing methods, and presents a product design process and methodology reflecting these attributes. This study emphasizes that AI product development should be oriented toward an ambidexterity approach. This study proposes a design process and specific development method for AI-based products that including steps such as technology push oriented idea generation with morphological approach, market pull oriented consumer requirements analysis, product design refinement, etc. In order to verify the practical applicability of this methodology, an AI-based car infotainment system development strategy is derived as a case study. 13 innovative ideas were generated by the morphological approach and expert review based on technological possibility, and a total of 6 quality requirements were derived as new product development strategies through the analysis of consumer requirements by combining Kano and TOPSIS. The methodology proposed in this research paper can be usefully utilized for companies to pioneer new markets through AI-based products or to expand the market by upgrading existing products or services.

• The Journal of Society for e-Business Studies
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• v.13 no.3
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• pp.153-171
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• 2008

Center of labor power was moved from physical labor to knowledge labor on modern knowledge society comparing with past industrial age, but dramatic result is not appearing in knowledge worker's productivity. "Peter F. Drucker" called "father of modern business management" is essential factor of knowledge labor based on expert, performance, concentration, own administration official, second half of life. And studied about task, reform, autonomy, education, quality, relation of information communication that is knowledge worker's productivity determinant factor. As research result, was expose that relativity is high by performance>concentration>own administration official>expert, second half of life in essential factor of knowledge labor. Specially, all productivity determinants and effect factor were performance by result to knowledge worker. Therefore, knowledge worker can expect formation's target and performance though search and practical use of continuous information are achieved in own field.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.1133-1147
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• 2020

The purpose of this study is to analyze the level of science and technology development and digital readiness of scientific research institutes based on the author's assessment methodology (a set of evaluations and multifactorial indicators). Keeping with the previous literature, the research is caused by the novelty of the problem, which suggests dividing the literature review into two main research groups: theoretical background, which concentrates on the digital readiness definition, and the impact of digital readiness on science. Moreover, the scientific significance lies in the fact that proposed ideas in the research, developed theoretical and methodological provisions can significantly enrich theories related to the identification of the digital readiness of science and its consumers. Further, the research is devoted to the development of assessment methods of digital changes and analysis of the level of development of digital readiness of scientific research institutes, which is based on the author's assessment methodology (a set of evaluations and multifactorial indicators). The methodology provides an opportunity to build ratings of the digital readiness of scientific-research institutes to the formation and development of a digital economy. Obtained results show that the priority task in the current and the future period is to increase the authority and recognition of scientific organizations, the quality of scientific research, and the formation of demand for scientific products.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.179-185
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• 2018

Technology of Internet of Things (IoT) which is receiving the spotlight recently as a new growth engine of Information Communications Technology (ICT) industry in the $4^{th}$ Industrial Revolution needs trustworthiness beyond simple technology of security. IoT devices should consider trustworthiness from planning and design of IoTs so that everyone who develop, evaluate and use the device can measure and trust its security. Increased number of IoTs and long lifetime result in the increased securituy vulnerability due to the difficulty of software patch and update. In this paper, we investigated security and scalability issues of current IoT devices through research of the technical, political and industrial trend of IoT. In order to overcome the limitations, we propose an automatic verification of software integrity utilizing and a political solution to apply cyber killchain based security mechanism using hash which is an element technology of blockchain to solve these problems.

• The Journal of Korean Association of Computer Education
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• v.9 no.4
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• pp.15-23
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• 2006

The current 7th Curriculum require elementary students to participate in an independent computer education class one time per week through means of discretion activity. However a national standard of this educational process has yet to be established, which has made regional provincial and city offices of education to choose textbooks for this purpose by discretion, that showed difference in quality, in operating education curriculums related to computer education for each classes in school such as continuing the repetitive contents without any rank or system. Also informatization education, which is one of national policies, might develop educational unbalance to young children who are to become the main characters in the future information society, due to excessive emphasis on aspect of using computer, which develops education mainly based on learning functions of applicable software. Therefore, we are proposing a discretion activity education curriculum model for utilization of computer education in elementary school which is showing regional difference based on former studies. This study will be helpful in substantiating of computer education in elementary schools in the future.

• Informatization Policy
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• v.21 no.3
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• pp.3-32
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• 2014

Recent developments of smart phone and ICT, and explosive developments of wireless sensor area drive radical changes on traditional health care service. To accommodate the changes, many researchers have studied to expand traditional healthcare service areas including home care for independent living and public care for preventive and collaborative wellness area. This study proposes a research framework for healthcare information technology area based on Mettler and Raptis's(2012) work. Then, the study analyze the research trends in the area based on the framework. The area of monitoring patients health status at home using smart phone, providing innovative healthcare service by out-patients monitoring, and implementing preventive healthcare services are identified most active and emerging research agenda. It is expected that the research framework and implications of this study can assist future research efforts and practical utilization of healthcare information technologies.

• Journal of the Society of Naval Architects of Korea
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• v.55 no.4
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• pp.350-360
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• 2018

Analysis of ship's manoeuverability in shallow water is an important task from the perspective of the vessels' navigational safety. Since the number of ships operated in restricted water has increased due to the enlargement of vessels and ships represent different characteristics of the manoeuverability when operated in shallow and deep water, it is significant to evaluate ship manoeuverability at initial design stage. At the initial stage of design, the estimation of manoeuverability is generally performed with hydrodynamic coefficients estimated based on empirical formula. However, the accuracy of estimating hydrodynamic coefficients by the empirical formula in shallow water is poor compared to that in deep water. Therefore, the error in the estimation of manoeuverability increases in shallow water. In this study, CFD is proposed to improve the accuracy of manoeuverability in shallow water at the initial design stage and hydrodynamic coefficients were obtained based on PMM test in shallow water. Furthermore, the ship manoeuverability was estimated both the proposed strategy and the empirical formula. At last, validity of the proposed strategy using CFD for the estimation of manoeuverability was confirmed by comparison with the manoeuverability estimation results from model test.

• Journal of Korea Multimedia Society
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• v.23 no.8
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• pp.953-964
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• 2020

Ever since media contents took over the world, the importance of typography has increased, and the influence of fonts has be n recognized. Nevertheless, the current Hangul font system is very poor and is provided passively, so it is practically impossible to understand and utilize all the shape characteristics of more than six thousand Hangul fonts. In this paper, the characteristics of Hangul font shapes were selected based on the Hangul structure of similar fonts. The stroke element detection training was performed by fine tuning Faster R-CNN Inception v2, one of the deep learning object detection models. We also propose a system that automatically extracts the stroke element characteristics from characters by introducing an automatic extraction algorithm. In comparison to the previous research which showed poor accuracy while using SVM(Support Vector Machine) and Sliding Window Algorithm, the proposed system in this paper has shown the result of 10 % accuracy to properly detect and extract stroke elements from various fonts. In conclusion, if the stroke element characteristics based on the Hangul structural information extracted through the system are used for similar classification, problems such as copyright will be solved in an era when typography's competitiveness becomes stronger, and an automated process will be provided to users for more convenience.