• Proceedings of the Korea Association of Information Systems Conference
• /
• 2005.12a
• /
• pp.435-440
• /
• 2005

정보기술 도입과 관련된 주류 이론은 혁신확산이론과 기술수용모델이다. 특히 기술수용모델은 도입의사결정자가 합리적 사고를 한다는 전제가 이론 기저에 깔려 있다. 하지만, 실제 현실세계에서는 유행과 집단의식 등에 의해 정보기술을 도입하는 경우가 많다. ERP가 유행이면, 무조건 쫓아서 ERP를 도입하고, KM이 유행이면 또한 쫓아서 KM을 도입하는 현상이 보편적으로 일어나고 있다. 이러한 행태를 군집 행태라 한다. 군집행태는 정보에 대한 비대칭성이 커서 사람들이 느끼는 정보의 불확실성이 큰 경우에 사람들이 보이는 행태 중의 하나이다. 어느 한 사람이 특정한 행동을 하면 다른 사람들도 그를 따라 집단적으로 동일한 행동을 하는 것을 말한다. 그 사람이 왜 그러한 행동을 하는지를 알고 따라하는 것이 아니다. 그가 자신이 모르는 무엇인가를 알고 있다고 믿고 우선 따라 하는 것이 상책이라고 생각하는 것이다. 본 연구에서는 정보기술의 도입과 관련된 군집행태에 영향을 주는 요인을 찾아내고자 한다.

• Journal of Technology Innovation
• /
• v.29 no.1
• /
• pp.1-38
• /
• 2021

In this paper, an exploratory analysis study was conducted on establishing a strategy to utilize living labs to enhance the innovation of the energy sector. Through the previous research literature, it was possible to confirm the concept, essential components, innovation characteristics of living labs, and types of innovation issues in the energy sector as the theoretical background. Based on this, the case studies of energy living lab (8 overseas, 1 domestic) were analyzed focusing on the possibility of utilizing living lab as an approach to innovation issues in the energy sector, establishing a customized strategy for essential components of living lab and enhancing innovation. It was confirmed that the establishment of a customized strategy for the essential components of the living lab could be a driving force in enhancing innovation, and the Living Lab is effectively used as an approach method for innovation issues(demand management, supply technology, enhance R&D acceptance and promote commercialization, technology policies) in the energy sector. As a result of the case studies, the driving force of each living lab was derived from the viewpoint of contributing to innovation, and strategies for using the living labs for each energy innovation problem were established. This study is an exploratory and descriptive analytical study of the utilization strategy and value of the living lab model as an approach to innovation issues in the energy field, which can provide a living lab strategy framework that has not been tried in the past and enables living lab activation and network formation. It can also be considered to have academic, practical, and policy implications in that it can also contribute.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.17 no.1
• /
• pp.157-175
• /
• 2022

At this moment, a paradigm shift is taking place across all sectors of society for the transition movements to the digital economy. Various movements are taking place in the global agricultural industry to achieve innovative growth using big data which is a key resource of the 4th industrial revolution. Although the government is making various attempts to promote the use of big data, the movement of the agricultural industry as a key player in the use of big data, is still insufficient. Therefore, in this study, effects of performance expectations, effort expectations, social impact, facilitation conditions, based on the Unified Theory of Acceptance and Use of Technology(UTAUT), and innovation tendencies on the acceptance intention of big data were analyzed using the economic and practical benefits that can be obtained from the use of big data for agricultural-related companies as moderating variables. 333 questionnaires collected from agricultural-related companies were used for empirical analysis. The analysis results using SPSS v22.0 and Process macro v3.4 were found to have a significant positive (+) effect on the intention to accept big data by effort expectations, social impact, facilitation conditions, and innovation tendencies. However, it was found that the effect of performance expectations on acceptance intention was insignificant, with social impact having the greatest influence on acceptance intention and innovation tendency the least. Moderating effects of economic benefit and practical benefit between effort expectation and acceptance intention, moderating effect of practical benefit between social impact and acceptance intention, and moderating effect of economic benefit and practical benefit between facilitation condition and acceptance intention were found to be significant. On the other hand, it was found that economic benefits and practical benefits did not moderate the magnitude of the influence of performance expectations and innovation tendency on acceptance intention. These results suggest the following implications. First, in order to promote the use of big data by companies, the government needs to establish a policy to support the use of big data tailored to companies. Significant results can only be achieved when corporate members form a correct understanding and consensus on the use of big data. Second, it is necessary to establish and implement a platform specialized for agricultural data which can support standardized linkage between diverse agricultural big data, and support for a unified path for data access. Building such a platform will be able to advance the industry by forming an independent cooperative relationship between companies. Finally, the limitations of this study and follow-up tasks are presented.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.5
• /
• pp.207-215
• /
• 2018

As the environment changes rapidly and the diversity of organizational members increases in the modern organization, interest is increasingly focused on empowering leadership that gives more authority and autonomy to the individual. In this study, we demonstrate an effective process for empowering leadership that was examined by focusing on the leader acceptance of organization members. For this purpose, 293 questionnaires were collected from employees working in corporations, and the mediating effects of individual leader acceptance on the relationship between empowering leadership and individual effectiveness (individual innovative behavior, individual performance) were verified. Hypothesis testing revealed that empowering leadership had a significant influence on both individual innovative behavior and individual performance. Second, in the relationship between empowering leadership and individual innovative behavior, individual leader acceptance was completely mediated. Third, in the relationship between empowering leadership and individual performance, individual leader acceptance was completely mediated. This study suggests that individual leader acceptance is important for empowering leadership effectiveness. In order for empowering leadership to be more effective, we propose that leaders make empowering behaviors according to the organization members' level of maturity and personal values.

• Journal of Science and Technology Studies
• /
• v.13 no.2
• /
• pp.1-35
• /
• 2013

The aim of this article is to criticize the discourses and practices of the appropriate technology for international development cooperation in Korea which focus narrowly on the technologies and are oriented to the providers of technologies. To present an alternative, we will discuss the appropriate technology by the insights from 'socio-technical system' studies which underline not only technological side but also the social, institutional and user's side, and analyze the interactions between them. This research deals with several cases mainly regarding small scale's renewable energy from Laos, Thailand, Bangladesh, Mongolia and Nepal. We put out some suggestions to improve the discourse and practices of appropriate technology in field of international cooperation by Korea.

• Journal of Korean Library and Information Science Society
• /
• v.31 no.4
• /
• pp.65-90
• /
• 2000

정보기술은 정보의 생산 및 유통방식에 커다란 변화를 가져왔으며 그 결과, 전통적인 대학도서관의 기본 역할이 변화된 것은 아니나 역할 이행을 위한 기능수행방법 및 영역에 커다란 혁신을 겪고 있다. 본 연구는 대학도서관의 서비스 환경을 변화시키고 있는 정보기술의 발전과정, 정보기술의 발전으로 인한 대학도서관의 변화 등에 관하여 고찰하였고, 그것을 바탕으로 대학도서관이 이러한 변화를 수용하여 대학의 핵심기구로서 그 역할을 다하고 위상을 한층 높일 수 있는 대응방안을 모색하였다.

• Review of KIISC
• /
• v.12 no.6
• /
• pp.31-40
• /
• 2002

21세기를 흔히 지식정보화 사회라고 한다. 이는 20세기 산업사회가 자본과 노동력을 기반으로 발전된 것에 비해, 21세기에는 지식과 정보가 주요한 생산요소로 작용하고 있음을 의미한다. 따라서 전쟁의 주요도구들도 농경사회의 창과 칼, 산업사회의 탱크, 비행기, 총포등에서 이제는 정보지식과 기술이 사용되기 시작하였다. 또한, 정보지식 사회로 발전할수록 정보 인프라 의존도는 급격히 늘어나기 때문에 컴퓨터나 네트워크와 같은 정보통신 기반체계에 대한 공격은 국가 사회의 존립을 좌우할 수 있는 매우 중차대한 문제로 부상하고 있다. 본 기고문에서는 이러한 혁신적인 정보지식 사회의 전쟁 패러다임의 변화를 수용하기 위한 여러 가지 공격기술과 방어기술에 대한 최근의 경향과 함께 국내외 기술 개발 현황에 대해서 알아보고자 한다.

• Journal of Intelligence and Information Systems
• /
• v.27 no.1
• /
• pp.103-128
• /
• 2021

Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

• The Journal of the Korea Contents Association
• /
• v.17 no.5
• /
• pp.440-448
• /
• 2017

This study aims to determine the factors affecting people's intention to use mobile delivery application services. The technology acceptance model (TAM) was employed and a survey was conducted on 300 delivery application users. As a result, personal innovativeness was found to have a positive effect on perceived ease of use and perceived playfulness. Self-efficacy turned out to have a positive influence on perceived ease of use and perceived playfulness. Next, perceived ease of use was found to positively affect both perceived usefulness and perceived playfulness, and perceived usefulness and playfulness had a positive effect on the intention to use the service as well. Lastly, personal innovativeness and self-efficacy were found to have a significant indirect influence on the intention to use the service. This study suggests users can be induced to voluntarily and continuously use the service, if their personal characteristics and perception of the service are considered in the future development of the service.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.6 no.3
• /
• pp.363-369
• /
• 2011

The purpose of this study was to examine the influence of users' perception of convergence media which were appeared with technological development upon the actual intention of use. Study findings show that when the perceived usefulness of convergence media was high, use intention was high as well. In addition, when the perceived ease of use was high, use intention was high as well. Use intention had significance influence upon the extent of actual use. This finding implies the fact that when use intention is higher, convergence media are more frequently used in reality. On the other hand, when innovation resistance is higher, the perceived ease of use, use intention and media intimacy are lower. In the end, due to innovation resistance, the use intention of media becomes lower and the use of convergence media is delayed.