• Journal of Venture Innovation
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• v.6 no.2
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• pp.159-172
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• 2023

This study aimed to empirically analyze the factors influencing the career search intention of college students. The research model was derived based on the Social Cognitive Career Theory (SCCT), considering the unique characteristics of university students. Self-efficacy and outcome expectations were investigated as independent variables, while mastery experience, verbal persuasion, vicarious learning, and positive emotions were considered as antecedent variables. A survey was conducted among college students in the metropolitan area, resulting in 217 valid responses for analysis. Empirical analysis was conducted using structural equation modeling with AMOS 24. The findings revealed that mastery experience, vicarious learning, and positive emotions had a significant positive effect on self-efficacy. Furthermore, verbal persuasion and positive emotions significantly influenced outcome expectations. However, the impact of verbal persuasion on self-efficacy was not found to be significant, and the relationship between mastery experience, vicarious learning, and outcome expectations was not examined. Both self-efficacy and outcome expectations were found to have a significant positive effect on career search intention, with outcome expectations exhibiting a stronger influence. The empirical results contribute to the understanding of college students' career exploration and provide implications for academic and practical contexts.

• Asia-Pacific Journal of Business
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• v.12 no.3
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• pp.1-36
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• 2021

Purpose - This empirical study, aims to identify the determinants of adoption and acceptance of mobile payment as to understand why it is successful in some countries in Sub-Saharan Africa but failing in others. A comparative study of a successful mobile payment service and a purported failed one was done as to have some insights to the factors affecting acceptance of the technology. Design/methodology/approach - The strength of three notable theories: theory of diffusion of innovation (DOI), the extended unified theory of user acceptance of information technology (UTAUT2) and self-efficacy theory were use. The self-efficacy of government support inclusion as, a moderating variable in the form of infrastructure, securing transaction and price value revealed the relevance of government in the success of mobile payment service. By means of a field survey of 705 subjects in two separate regions of Africa (East and West), the data was collected and use to test the research model. Findings - The study result shows the importance of the moderating factor of government support to the success of mobile payment of any nation. The result also shows the importance of the perception of relative advantage, compatibility, complexity, social influence as already revealed by other studies. Research implications or Originality - Mobile payment success in some part of Sub-Saharan Africa is well known but also suggested to fail in some Sub-Saharan African countries. Buttressing the need for understanding of the factors affecting mobile payment acceptance. This article empirically examined the factors influencing the success of mobile payment, and we implicated that if the implementation of mobile payment is to be successful for mobile commerce in any nation, adoption, acceptance and use by its citizen is imperative.

• Journal of Information Technology Applications and Management
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• v.27 no.1
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• pp.75-95
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• 2020

Smart Factory is the decisive factor of the Fourth Industrial Revolution and is a key field for national competitiveness. Until now, most smart factory research has focused on policy and technology. In order to spread more technology, it is necessary to study what factors influence the adoption of smart factory technology in the enterprise. Nevertheless, little research has been done. In this study, based on the UTAUT (Unified Theory of Acceptance and Use of Technology), which has been proved through many years of research, I have studied the factors that influence the acceptance of smart factory technology. As a result of research, performance expectancy, social influence, and facilitating conditions of UTAUT model had a positive(+) effect on behavior intention. Their relationship of influence was in the order of performance expectancy (β = .459)> facilitating conditions (β = .212)> social influence (β = .210). However, it was found that the effort expectancy did not affect the behavior intention, and the impact of the newly perceived risk on the behavior intention to use was not confirmed. The main reason is that the acceptance of smart factory technology is not a matter of personal interest but a matter of organizational choice. Trust, on the other hand, was found to be partially mediated between performance expectancy, facilitating conditions, social influence and behavior intention. For many years, many researchers have validated the UTAUT, which has been validated through various empirical studies. It is academically meaningful to begin the study of factors affecting the acceptance of smart factory technology in terms of the UTAUT. In practice, it is necessary to provide SME employees with more information related to the introduction of smart factories, to provide advanced services related to the establishment of smart factories, and to establish a standardized model for each industry.

• Journal of the Korean association of regional geographers
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• v.9 no.4
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• pp.505-518
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• 2003

The purpose of this paper is to review Post-Fordist urban economic theories that have tackled the recent changes of urban economies in large cities in the world since 1980s, so that we can conceptualise the changes of urban economies in Korean cities. In the perspective of the Post-Fordist urban economic theories, the recent changes of urban economies in the world are deeply related to the transformation of capitalist world economic system from Fordism to Post-Fordism. To see these changes which can be called as the new urbanization process in the economic aspect, we will focus especially such theories as new industrial space (district) theory based on the flexible specialization paradigm, informational city theory based on the information and communication mode paradigm, and cluster and regional innovation theory based on the institution and network paradigm. Also we will consider the social polarization process and dual city phenomena that have been observed for the most part of big cities in the world.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.107-129
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• 2022

It is important to preempt new technology because the technology competition is getting much tougher. Stakeholders conduct exploration activities continuously for new technology preoccupancy at the right time. Gartner's Hype Cycle has significant implications for stakeholders. The Hype Cycle is a expectation graph for new technologies which is combining the technology life cycle (S-curve) with the Hype Level. Stakeholders such as R&D investor, CTO(Chef of Technology Officer) and technical personnel are very interested in Gartner's Hype Cycle for new technologies. Because high expectation for new technologies can bring opportunities to maintain investment by securing the legitimacy of R&D investment. However, contrary to the high interest of the industry, the preceding researches faced with limitations aspect of empirical method and source data(news, academic papers, search traffic, patent etc.). In this study, we focused on two research questions. The first research question was 'Is there a difference in the characteristics of the network structure at each stage of the hype cycle?'. To confirm the first research question, the structural characteristics of each stage were confirmed through the component cohesion size. The second research question is 'Is there a pattern of diffusion at each stage of the hype cycle?'. This research question was to be solved through centralization index and network density. The centralization index is a concept of variance, and a higher centralization index means that a small number of nodes are centered in the network. Concentration of a small number of nodes means a star network structure. In the network structure, the star network structure is a centralized structure and shows better diffusion performance than a decentralized network (circle structure). Because the nodes which are the center of information transfer can judge useful information and deliver it to other nodes the fastest. So we confirmed the out-degree centralization index and in-degree centralization index for each stage. For this purpose, we confirmed the structural features of the community and the expectation diffusion patterns using Social Network Serice(SNS) data in 'Gartner Hype Cycle for Artificial Intelligence, 2021'. Twitter data for 30 technologies (excluding four technologies) listed in 'Gartner Hype Cycle for Artificial Intelligence, 2021' were analyzed. Analysis was performed using R program (4.1.1 ver) and Cyram Netminer. From October 31, 2021 to November 9, 2021, 6,766 tweets were searched through the Twitter API, and converting the relationship user's tweet(Source) and user's retweets (Target). As a result, 4,124 edgelists were analyzed. As a reult of the study, we confirmed the structural features and diffusion patterns through analyze the component cohesion size and degree centralization and density. Through this study, we confirmed that the groups of each stage increased number of components as time passed and the density decreased. Also 'Innovation Trigger' which is a group interested in new technologies as a early adopter in the innovation diffusion theory had high out-degree centralization index and the others had higher in-degree centralization index than out-degree. It can be inferred that 'Innovation Trigger' group has the biggest influence, and the diffusion will gradually slow down from the subsequent groups. In this study, network analysis was conducted using social network service data unlike methods of the precedent researches. This is significant in that it provided an idea to expand the method of analysis when analyzing Gartner's hype cycle in the future. In addition, the fact that the innovation diffusion theory was applied to the Gartner's hype cycle's stage in artificial intelligence can be evaluated positively because the Gartner hype cycle has been repeatedly discussed as a theoretical weakness. Also it is expected that this study will provide a new perspective on decision-making on technology investment to stakeholdes.

• Journal of Information Science Theory and Practice
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• v.1 no.3
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• pp.60-73
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• 2013

The Database Industry Promotion Act was proposed at the National Assembly plenary session on July 26, 2012 and since then it has been in the process of enactment in consultation with all the governmental departments concerned. The recent trend of economic globalization and smart device innovation suggests a new opportunity and challenges for all industries. The database industry is also facing a new phase in an era of smart innovation. Korea is in a moment of opportunity to take an innovative approach to promoting the database industry. Korea should set up a national policy to promote the database industry for citizens, government, and research institutions, as well as enterprises. Above all, the Database Industry Promotion Act could play a great role in promoting the social infrastructure to enhance the capacity of small and medium-sized enterprises. This article discusses the background of the development of the Database Industry Promotion Act and its legislative processes in order to clarify its legal characteristics, including the meaning of the act. In addition, this article explains individual items related to the overall structure of the Database Industry Promotion Act. Finally, this article reviews the economic effects of the database industry for now and the future.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.545-550
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• 2007

The aim of this paper is to find out whether there is a difference in adopting and/or diffusing the information and communication technology (ICT) between countries. If there is, what are the primary factors that keep some countries from adopting and diffusing ICT while others do? To analyze the above problem, we adopted the Unified Theory of Acceptance and Use of Technology (UTAUT) suggested by Venkatesh et al. (2003), which consists of effort expectancy, performance expectancy and social influence. We also use the innovation diffusion functions, which are known to have the S-shape and are made up of the introduction, growth, maturity and decline phases. We do not, however, consider the decline phase, because the ICT that we are considering is not believed to be in that phase. Therefore, we researched how the three factors affect adoption in the three phases. We selected the cellular phone as the ICT, because it is considered to be the most popularly used ICT and its technology has been developing rapidly. We surveyed the cellular phone adopters in Korea, and the U.S. for 15 years from 1989 to 2003. Korea, and the U.S. represent newly developed and developed countries, respectively. For the data analysis, a survival analysis was used, as it could explain the characteristics of the potential adopters or non-adopters. We found that the ICT diffusion patterns, as well as the ICT diffusion factors, of the two countries were different. Therefore, we believe that the results of our research can be used in building strategies on reducing the digital divide gaps between countries.

• Journal of the Economic Geographical Society of Korea
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• v.21 no.4
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• pp.425-437
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• 2018

Since the 1990s, clusters defined as a geographic concentration of interconnected companies, research and educational institutions, technology transfer agencies, and other public or semi-public institutions in a particular field have not only been subject to academic research, but have also become goals for various innovation and regional policies. Over the past 20 years Germany at both the Federal and $L{\ddot{a}}nder$ levels has been pursuing various cluster promotion policies and initiatives for upgrading industries' competitiveness and innovations, and some of these measures have been evaluated as successful. This study aims to examine the industrial cluster promotion policy of Germany. For this purpose, the study first outlines the concept of cluster and cluster policy theoretically, and then explores the formation and historical development of cluster polices of the German federal government.

• Journal of Korea Technology Innovation Society
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• v.20 no.4
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• pp.837-857
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• 2017

This paper examines the gap between the theoretical premises of, and the ways that public deliberative approaches to decision-making function in application to a specific instance of technological risk policy. An interrogation of a UK nationwide public deliberation case-the CoRWM program (Committee on Radioactive Waste Management)-a real-world instance of public deliberation illuminates some significant contrasts in the ways that public deliberation takes place to those characterized in theory. A public-engaged deliberation on radioactive waste management in reality does not emerge as rational reasoning for the common good. Instead, it was rather a complex mix of various forms of material, social and political interactions, and relationships.

• Korean Journal of Health Education and Promotion
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• v.26 no.1
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• pp.141-158
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• 2009

Community-Based Participatory Research(CBPR) has gained attention as a public health approach to develop community health interventions to address health disparities in recognition of the community relevance of specific health issues associated with social determinants of health. It emphasizes community involvement in equal partnership with researchers and public health professionals to address community-identified needs. The characteristics and principles of CBPR discussed in this paper highlight participatory nature, capacity development, partnership building, and process-orientation of CBPR. A 6-step process model for community empowerment is then introduced as a CBPR operationalization strategy. Mixed methods research approaches are valuable in CBPR as well as process evaluation. For the application of CBPR in Korean contexts, the Diffusion of Innovation theory is suggested as a theoretical framework for implementation. Building public health partnerships between public and private sectors to create partnership synergy is a necessary condition for successful CBPR for health promotion in Korea. Accompanying critical factors for the CBPR application include: common understanding of CBPR and its values, establishment of the definition of 'community,' 'community-based' and 'participation' in community health, development of accommodating research infrastructure for CBPR, recognition of the importance of program evaluation (particularly process evaluation), and training CBPR specialists.