• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.45-59
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• 2020

This study is to examine the effects of personal media influencer's source credibility (attractiveness, trustworthiness, expertise) and content authenticity on brand authenticity and product purchase intention. An online survey was conducted, on which the respondents were asked to watch the embedded contents of the influencer provided on YouTube before answering the questionnaire. The results of the regression analysis showed that both influencer expertise and content authenticity had a positive effect on brand authenticity. Moreover, brand authenticity had a positive effect on purchase intention and had a mediating effect between purchase intention and content authenticity. The findings are meaningful in that they not only analyze empirical advertising effects of personal media and media contents but also expand the scope of research on authenticity. This study also provides strategic implications for personal media influencers and companies which want to collaborate with influencers.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.521-540
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• 2021

This research categorizes the factors of digital capital accumulated both in personal and social level into digital access and digital competence, and empirically analyzes how the use of public libraries effects on the formation of digital capital. As a result, it was found that participation in public library programs, the use of information services, and the utilization of digital collections had positive effect on the formation and accumulation of digital capital at the personal and social level. In contrast, it was analyzed that the use of digital collections in public libraries did not significantly affect the creation of digital contents or reciprocal collaboration based on online networks. Therefore, in order for public libraries to fully support the formation of digital capital, they should not only provide knowledge and information which is a traditional role of public libraries, but also play a role as a digital-based cooperative system.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.153-158
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• 2012

Digital contents market has been drastically increasing under Clouding Computing and Smart Phone environment. The Contents industry is going to be more essential portion than manufacture or service industry in the near future. One good example of high value-added contents is the Harry Potter series which exceeds 10 years' net profit of Hundai automobile company. This one example shows us very well that digital contents market as a core-engine for culture industry development is economically influential and attractive as well. This study focuses on activation of Digital Copyright Exchange in knowledge service convergence era. First, it examines other services like stock exchange, electronic documents and authentication certificate etc. which are similar to DCE service. Then it analyzes what factors make copyright industry have interested in the DCE the through technology acceptance model. Based on the results of the analysis, finally, this study evaluates how the DCE contributes to copyright industry overall including fair utilization of works.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.157-162
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• 2022

In a society full of knowledge and information, digital literacy and artificial intelligence (AI) education that can utilize AI technology is needed to solve numerous everyday problems based on computational thinking. In this study, data-centered AI education was conducted while teaching computer programming to non-computer programming students at universities, and the correlation between major factors related to academic performance was analyzed in addition to student satisfaction surveys. The results indicated that there was a strong correlation between grades and problem-solving ability-based tasks, and learning satisfaction. Multiple regression analysis also showed a significant effect on grades (F=225.859, p<0.001), and student satisfaction was high. The non-computer programming students were also able to understand the importance of data and the concept of AI models, focusing on specific examples of project types, and confirmed that they could use AI smoothly in their fields of interest. If further cases of AI education are explored and students' AI education is activated, it will be possible to suggest its direction that can collaborate with experts through interest in AI technology.

• Information Systems Review
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• v.18 no.2
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• pp.59-77
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• 2016

Although various recommendation techniques have been applied to the e-commerce market, few studies compare the intent to use these techniques from the customer's perspective. In this paper, we conduct a comparative analysis of customers' intention to use five recommendation techniques widely adapted by online shopping malls and focus on the differences in purchasing electronic goods and apparel products. The recommendation techniques are as follows: best-seller recommendation, merchandiser recommendation, content-based recommendation, collaborative filtering recommendation, and social recommendation. Additionally, we examine which factors influence customer intent to use the recommendation services. Data were collected through a survey administered to 220 e-commerce users with prior experience with recommendation services. Collected data were examined using analysis of variance and regression analysis. Results indicate statistically significant differences in customers' intention to use recommendation services according to the recommendation technique. In particular, the best-seller recommendation technique is preferred when purchasing electronic goods, whereas the content-based recommendation technique is preferred for apparel purchases. Factors such as personal characteristics and personality, purchasing tendency, as well as perception of the product or recommendation service affect a customer's intention to use a recommendation service. However, the influence of these factors varies depending on the recommendation technique. This study provides guidelines for companies to adopt appropriate recommendation techniques according to product categories and personal characteristics of customers.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.95-103
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• 2016

Nowadays, team members often use mobile messenger service (MMS) in performing team projects. Team members can freely express their ideas or opinions using MMS without any restrictions in terms of place and time. But, in team project, using MMS is pressing them to perform their project more quickly than off-line conference, and assigning a role outside the range of their ability. In other words, team members can recognize work overload by utilizing MMS and this work overload can lead to team conflict. This study examines the effect of work overload through MMS use on team performance. We consider team engagement and team trust as the key drivers of team performance. However, team conflict will obstruct team engagement and team trust. Research model was analyzed by 135 university students who were doing several team projects. The analysis results show that work load through MMS use has a significant effect on team conflict. In other words, when work load is increased by utilizing MMS, it leads to team conflict. This team conflict loses trust between team member and hinders team performance. Lastly, this research provides several implications for right usage of MMS to improve team project performance.

• Journal of the Korean Society of Earth Science Education
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• v.15 no.2
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• pp.299-309
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• 2022

The purpose of this study is to categorize specific factors and characteristics of positive science experience by qualitatively analyzing the positive science experience cases in the memories of pre-service elementary school teachers. For this purpose, 101 essays written by pre-service teachers on the theme of 'my enjoyable science class experience' were analyzed. The collected data were analyzed using an inductive analysis method, and as a result, the characteristics of positive science experience cases in the memories of pre-service teachers were categorized into 4 categories and 12 topic groups. Specifically, 'experience of exploratory activities using special materials', such as long-term raising and observation of animals and plants, experiments using edible materials, and using special experimental tools had a positive effect on scientific experience. In addition, 'experience of activities emphasizing scientific inquiry' such as emphasizing observation activities, experiments accompanied by clear experimental results, making activities, and using various materials also had a positive effect on science experience. In addition, 'student-centered activity experience' such as strengthening student autonomy, emphasizing collaboration between students, and performing science activities outside of the curriculum also had a positive influence on the science experience. Lastly, 'positive influence of teachers', such as teachers' encouragement and enthusiasm, helped to positively recognize science.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.6
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• pp.249-267
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• 2021

The use of big data accumulated along with the progress of digitalization is bringing disruptive innovation to the global agricultural industry. Recently, the government is establishing an agricultural big data platform and a support organization. However, in the domestic agricultural industry, the use of big data is insufficient except for some companies in the field of cultivation and growth. In this context, this study identifies factors affecting the intention to use big data in terms of technology, organization and environment, and also confirm the moderating effect of technical field, focusing on agricultural ventures which should be the main entities in creating innovation by using big data. Research data was obtained from 309 agricultural ventures supported by the A+ Center of FACT(Foundation of AgTech Commercialization and Transfer), and was analyzed using IBM SPSS 22.0. As a result, Among technical factors, relative advantage and compatibility were found to have a significant positive (+) effect. Among organizational factors, it was found that management support had a positive (+) effect and cost had a negative (-) effect. Among environmental factors, policy support were found to have a positive (+) effect. As a result of the verification of the moderating effect of technology field, it was found that firms other than cultivation had a moderating effect that alleviated the relationship between all variables other than relative advantage, compatibility, and competitor pressure and the intention to use big data. These results suggest the following implications. First, it is necessary to select a core business that will provide opportunities to generate new profits and improve operational efficiency to agricultural ventures through the use of big data, and to increase collaboration opportunities through policy. Second, it is necessary to provide a big data analysis solution that can overcome the difficulties of analysis due to the characteristics of the agricultural industry. Third, in small organizations such as agricultural ventures, the will of the top management to reorganize the organizational culture should be preceded by a high level of understanding on the use of big data. Fourth, it is important to discover and promote successful cases that can be benchmarked at the level of SMEs and venture companies. Fifth, it will be more effective to divide the priorities of core business and support business by agricultural venture technology sector. Finally, the limitations of this study and follow-up research tasks are presented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.12
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• pp.7025-7039
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• 2014

Focal companies (hereafter called buyers) adopt outsourcing practices from a supply chain management strategy to be competitive. Buyers face the bridge transfer after outsourcing contracts, and the monitoring practices would be the only control mechanism left to prevent losing control over the suppliers. This study suggests the set of monitoring practices (i.e., capability, activity and outcome monitoring) as the independent variables to enhance the buyer-supplier collaboration and supplier's performance. In addition the buyer's efforts of monitoring are assumed to influence the buyer's shop floor productivity mediated by the supplier's performance and buyer-supplier collaboration. The results showed that the monitoring practices are meaningful antecedents to the supplier's performance and buyer-supplier collaboration, which fully mediates between the monitoring practices and buyer's shop floor productivity. The mediating role of the buyer-supplier collaboration between activity monitoring and shop floor productive has been rejected, because the negative effect of activity monitoring on buyer-supplier collaboration conflicts with the positive impact of buyer-supplier collaboration on shop floor productive. The theoretical contribution and managerial implications with limitations have been discussed.

• Information Systems Review
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• v.19 no.2
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• pp.21-35
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• 2017

The advancement of IT and the "Fourth Industrial Revolution" blurred the boundary between industries. The importance of strategic cooperation between enterprises is emphasized. IT companies must consider their existing business areas and create new territories to drive changes in the industry. They must also secure their competitive edge and manage economic costs to enable them to compete with their global counterparts. By utilizing their resources effectively, these firms can create value through inter-firm cooperation. This study analyzes the collaborative network of global IT companies using social network analysis and examines the effect of this network on firm performance. Collaborative linkages and betweenness centrality, which represent the bridging position of a firm in a network, significantly affect firm performance. This result highlights the importance of the structural position of a firm in a cooperative network of IT companies. This study also characterizes clusters in a network of IT companies. Most of these clusters comprise a combination of IT companies in diverse IT industries. These clusters suggest that these companies engage in multilateral cooperation without boundaries to maximize their business capabilities. This study offers practical implications for establishing a cooperative strategy and framework that can capture business trends in the IT industry from a macroscopic view. This study also visualizes collaborative networks in a multifaceted way using social network analysis to provide researchers and business practitioners with an informative viewpoint.