• Knowledge Management Research
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• v.23 no.4
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• pp.275-294
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• 2022

In recent years, with the continuous integrative development of e-commerce and social media, social commerce, as a trust-centered social transaction mode, has become an important performance form of e-commerce. The good experience of online community and abundant user-generated content (UGC) attract more and more users and businesses to participate in the community contribution. In this context, the cost of accessing information is continuously decreasing, which not only makes the purchase process more concise and efficient, but also greatly increases the possibility of consumers' impulsive consumption. However, there are very few empirical studies on the internal influencing mechanism of consumers' impulsive consumption based on the characteristics of UGC for social commerce. In view of this, based on S-O-R model, this study constructs a model of consumers' impulsive consumption in the context of social commerce from the characteristics of UGC, with perceived risk as the mediating variable and tie strength as the moderating variable. The results show that content authenticity, content usefulness, and content valence of UGC have significant negative impacts on consumers' risk perception in the process of purchase decision-making, and consumers' perceived risk has a significant negative impact on consumers' impulsive consumption. Meanwhile, the tie strength between UGC producer and UGC receiver plays a moderating role between content usefulness and perceived risk, as well as between perceived risk and impulsive consumption. Finally, combined with the above findings, this study provides effective suggestions for relevant participants in social commerce in terms of business management.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.33-39
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• 2022

This study aims to investigate the online class preference depending on students' gender and school level. To achieve this aim, the study conducted a survey on 4,803 elementary, middle, and high school students in 17 regions nationwide. The valid data of 4,524 were then analyzed using the Apriori algorithm to discern the associated patterns of the online class preference corresponding to their gender and school level. As a result, a total of 16 rules, including 7 from elementary school students, 4 from middle school students, and 5 from high school students were derived. To be specific, elementary school male students preferred software-based classes whereas elementary female students preferred maker-based classes. In the case of middle school, both male and female students preferred virtual experience-based classes. On the other hand, high school students had a higher preference for subject-specific lecture-based classes. The study findings can serve as empirical evidence for explaining the needs of online classes perceived by K-12 students. In addition, this study can be used as basic research to present and suggest areas of improvement for diversifying online classes. Future studies can further conduct in-depth analysis on the development of various online class activities and models, the design of online class platforms, and the female students' career motivation in the field of science and technology.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.341-348
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• 2022

This study analyzed the accounting conservatism of companies listed on KONEX. The analysis of the existing accounting conservatism presents the analysis results for the KOSPI market or the KOSDAQ market. However, in July 2013, Korea opened a new publicly traded market called KONEX, which has been continuously operated to increase the possibility of SMEs' financing. However, research on KONEX has not been conducted relatively actively, and the current prior research is also focused on earnings management. This study differs from previous studies in that it analyzes accounting conservatism, which is one of the accounting policies. For this purpose, the period from 2014 to 2020 was set as the analysis period, and empirical analysis was conducted using the asymmetric timeliness models, Ball and Shivakumar (2005) and Basu (1997). As a result of the analysis, conditional conservatism was also confirmed in the KONEX market. That is, it was confirmed that the timeliness of the bad news was higher than the good news. Second, no significant difference was found in the results of analyzing whether there is a difference in the conservatism of KONEX companies according to the size of the auditor. In other words, it was confirmed that the size of the auditor in the KONEX market is not a significant variable. This study expanded the existing research in that it analyzed accounting policies targeting the KONEX market.

• Korean small business review
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• v.41 no.3
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• pp.1-22
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• 2019

The purpose of this research was to investigate the impact of the partner types (supplier, customer, competitor, research institution, more than one partner type) for SMEs on radical and incremental innovation. Another purpose was to examine how the relation varies according to the technological intensity of an industry to which the focal firm belongs. To test the hypotheses, we used the 'KIS(Korean Innovation Survey) 2014' data and the empirical analysis was done with the effective survey from 3,846 Korean SMEs. We employed STATA 14 for validity, confirmatory factor analysis, and binary logistic regression analysis. The results revealed that, when viewed the entire manufacturing SMEs, cooperation with suppliers, customers and research institutes has all been shown to have a positive effect on the radical and gradual innovations of SMEs. However, The relationship between partner type and radical innovation has been significantly different depending on the technical intensity of the industry. When cooperating with suppliers, the impact on radical innovation of SMEs was significant only in low-tech and medium-low tech industries. In contrast, when working with customers, the impact on the radical innovation of SMEs was significant only in the high-tech, medium-high tech, and medium-low tech industries, except for low tech industries. Meanwhile, although cooperation with competitors has a positive effect on radical innovation, this has been only significant in the medium-high tech industries.

• Korean small business review
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• v.41 no.1
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• pp.1-28
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• 2019

The purpose of this study is to contribute to the revitalization of the 6th industry by presenting suggestions on how to utilize agricultural food mobile SNS and how to purchase intention. In this study, the mobile SNS, which is rapidly emerging as a new marketing channel, was applied to the agricultural and food sector to conduct a empirical analysis. First of all, the characteristics of agricultural food-related mobile SNS that affect the purchasing intent of agricultural food were derived, and the indirect effects of consumer attitudes were analyzed in relation to the perceived characteristics of the mobile SNS for the agricultural food and the purchase intention. First, information quality and ease of access have a significant effect on cognitive attitude (+), and playfulness, information quality, ease of access have a significant effect on emotional attitude (+), and playfulness, interactivity have a significant effect on an acting attitude (+). Second, information quality, accessibility, and playfulness have a significant effect on purchase intention (+), and the quality of information has the greatest influence. Third, it was analyzed that information quality, interactivity, ease of accessibility, and playfulness have an indirect effect of consumer attitude in the path of purchase through consumer attitude. From the results of this study, it was confirmed that efforts to improve the quality of information in the case of mobile SNS related to agricultural and food products are needed first, that to improve the purchasing intent, we need to establish a mobile SNS operating strategy and marketing strategy for enhance consumer attitudes in a favorable. On the other hand, related education and system cooperation methods should be prepared to enable agricultural and food companies to use mobile SNS as a marketing tool.

• Korean small business review
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• v.41 no.4
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• pp.65-86
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• 2019

This study empirically analyzed how the elements of entrepreneurship and the fear of entrepreneurial failure influence entrepreneurial intention with each other in a situation that encourages startups. In particular, the moderating effect of fear of entrepreneurial failure was verified by dividing the fear of entrepreneurial failure into three sub-variables: fear of financial loss, fear of psychological loss, and fear of career loss. As a result, it was found that proactiveness and risk-taking had a positive effect on entrepreneurial intention, but innovativeness did not. Fear of entrepreneurial failure(all of sub-variables) was found to have no significantly moderating effect on the relationship between entrepreneurship and entrepreneurial intention. Therefore it seemed to have a negative effect as a independent variable. However, considering the regression coefficient(β) is positive or negative depending on the interaction terms of the sub-variables of fear of entrepreneurial failure and the entrepreneurship, it could be inferred that the moderating effect could be positive or negative. Based on this research results, a sophisticated entrepreneurship education program to inspire entrepreneurship and lower the fear of failure is needed in order to promote startups. And at the same time, a social safety net construction plan to reduce the fear of entrepreneurial failure needs to be prepared.

• Korean small business review
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• v.41 no.1
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• pp.75-96
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• 2019

This study used age, education, major, working period as CEO's characteristics and examine relationship between these characteristics and R&D Investment. Furthermore this study examined how CEO should react in terms of R&D investment, which is effected by CEO's characteristic in the market. The empirical results are following. (1) When CEO's age are young, they spend much money for R&D investment. And R&D investment which is determined by young CEO has a positive effect on relation of firm value. (2) A higher educational background has a positive effect on R&D investment and will create higher firm value. (3) When CEO's major is competitive in the same industry, it has a positive relationship with R&D investment and its firm value is bigger than though. (4) When CEO working period is long, they showed active to R&D investment. On the other hand, the firm value decreased. This study focused on analyzing the relationship between characteristics of CEO and R&D Investment, furthermore, how R&D investment which effected by CEO's characteristic is contributing in creating the firm value. This results indicate that CEO's characteristics reflect R&D investment and value of venture business. Therefore, CEO's characteristics should be considered financial information and firm value in the market.

• Korea Trade Review
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• v.41 no.2
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• pp.159-183
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• 2016

This study focuses on export venture firms in Daedeok Innopolis and examines the structural relationships among dynamic capability, technology commercialization competence, innovation performance, and competitive advantage. In particular, this study attempts to analyze dynamic capabilities that may affect technology commercialization competence, innovation performance, and competitive advantage. The development of the research model takes on a dynamic-capability view and is based on empirical studies regarding competitive advantage. A survey of 103 export venture firms was conducted from January 5, 2015, to February 4, 2015. A partial least squares structural equation model is used to test the relationships between constructs set in the study. The results of the study show that the dynamic capability of an export venture firm has a significant positive influence on the firm's technology commercialization competence, innovation performance, and competitive advantage. The study also finds evidence that the export venture firm's technology commercialization competence directly affects its innovation performance and competitive advantage. In addition, the findings indicate that the innovation performance of an export venture firm has a significant positive impact on the firm's competitive advantage. Overall, these findings contribute to a better understanding of the contexts in which dynamic capability represents a specific capability for export venture firms.

• Korea Trade Review
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• v.42 no.4
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• pp.21-47
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• 2017

This study examines the effects of technological capability and domestic marketing capability of SMEs on the export market orientation, focusing on the moderating effect of market turbulence. This empirical analysis, based on surveys collected from 206 small and medium-sized firms located in Gwangju and Jeonnam provinces, yielded the following conclusions. First, technological capability of SMEs has a positive impact on export market orientation. This result not only is consistent with preceding studies but also suggests that when technological capability of SMEs is utilized as their own unique asset to reduce liability of smallness or liability of foreignness, the tendency to export might be increased. Second, domestic marketing capability of SMEs has a positive impact on export market orientation. This result suggests that as the domestic marketing capability of SMEs is used as prior knowledge reducing uncertainty to enter the overseas markets, the tendency to export might be increased. Third, as a result of examining moderating effect of market turbulence, it shows that market turbulence moderates the relationship between domestic marketing capability and export market orientation toward a negative(-) direction. That is, since market turbulence might weaken the relationship between domestic marketing capability and export market orientation, SMEs which belong to the industry considering marketing capability important need to develop strategy with consideration for market turbulence. This study provides theoretical and practical implications in that it reveals factors positively affecting export market orientation and market turbulence can be utilized as a moderator.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.129-148
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• 2023

Bitcoin is a blockchain technology-based digital currency that has been recognized as a representative cryptocurrency and a financial investment asset. Due to its highly volatile nature, Bitcoin has gained a lot of attention from investors and the public. Based on this popularity, numerous studies have been conducted on price and trend prediction using machine learning and deep learning. This study employed LSTM (Long Short Term Memory) and CNN (Convolutional Neural Networks), which have shown potential for predictive performance in the finance domain, to enhance the classification accuracy in Bitcoin price trend prediction. XAI(eXplainable Artificial Intelligence) techniques were applied to the predictive model to enhance its explainability and interpretability by providing a comprehensive explanation of the model. In the empirical experiment, CNN was applied to technical indicators and Google trend data to build a Bitcoin price trend prediction model, and the CNN model using both technical indicators and Google trend data clearly outperformed the other models using neural networks, SVM, and LSTM. Then SHAP(Shapley Additive exPlanations) was applied to the predictive model to obtain explanations about the output values. Important prediction drivers in input variables were extracted through global interpretation, and the interpretation of the predictive model's decision process for each instance was suggested through local interpretation. The results show that our proposed research framework demonstrates both improved classification accuracy and explainability by using CNN, Google trend data, and SHAP.