The purpose of this study is to investigate the role of IT-enabled dynamic capability in the relationship between intellectual capital and innovation performance under Industry 4.0. We approach the intellectual capital from the perspective of the resource-based view and define the components of intellectual capital as human capital, social capital, and organizational capital. On the other hand, the IT-based dynamic capability means that the information technology and the utilization ability of the enterprise are combined to overcome the turbulent environment. The empirical results showed that the IT-enabled dynamic capabilities mediated the relationship between intellectual capital and innovation performance as it revealed in theory. And in terms of practical implications, we found the importance of an organization's information technology ability to effectively utilize intangible resources for organizational performance.

The Korean government has been trying to create new economic value-added and jobs by the openness and utilization of open government data. However, most of open government data has poor utilization rate. Although open government data standardization is a major cause of those inactivation, it is not sufficient to conduct empirical research on open government data itself. Based on this trend, this paper aims to find the priority area for opening data and suggests a realistic directions of standardization of open government data. Text mining and social network analysis approaches are used to analyze open government data and standardization. This research suggests the guides to open government data managers in practical view from selection of data to standardization direction. In addition, this research has academic implications to the knowledge management systems in terms of suggesting standardization direction by using various techniques.

Although Firms have been increasing their information security significantly to handle increased security risks, the effects of information security were not well understood. This study aims to investigate the market value of information security by employing the event study methodology. Our research also explores how market responses vary depending on the type of information security announcements. We collected 177 firm-level information security announcements between 2001 and 2017 in South Korea. For all samples, our results indicate that the stock market positively reacts to information security announcements. We also conducted subsample analysis and found that while information security certification announcement has a positive impact on the stock market, information security activities (e.g. award, information security system) announcement had no impact on the stock market. Our study adopted a novel approach (i.e. event study) for investigating the effects of information security and found that information security investment positively affects firm value. Our results allow managers to measure the effects of information security investment and help them make right decisions on information security investment.

Self-driving technology is changing the paradigm of automotive industry. Since it is imperative to converge this emerging technology with ICT and there is a time lag between securing this emerging technology and occurrence of firm performance, it is difficult to make decisions on technology development. This study investigates patent indicators to understand the impact of self-driving technology on performance of automotive parts companies. We analyze 611 of self-driving technology patents from 2000 to 2016 and the financial performance of 270 small and medium businesses that register the corresponding patents with consideration of up to four years of time lag. Our analysis results show that patents related to self-driving has a positive impact on asset growth of 2 years and sales growth of 3 years in terms of time lag. This study contributes to the literature by analyzing the impact of technology development on the firm performance in case of convergence of the automotive and ICT industries. Additionally, this study provides a role of patent in knowledge management planning through technology development as a practical implication.

In the rapidly changing business environment, knowledge has been recognized as a core asset for sustaining an organization's competitive advantage. In addition, knowledge sharing is one of the key elements of knowledge management, emphasizing external knowledge sharing beyond initial internal knowledge sharing. However, while knowledge management research emphasizes knowledge sharing, which is a positive aspect, research on preventing knowledge leakage that can have negative consequences is relatively lacking. Companies have tried to minimize the negative effects of knowledge management but many knowledge leakage accidents are still occurring. Therefore, this study aims to examine the effects of external factors based on deterrence theory and internal factors based on self-determination theory on knowledge leakage intention focusing on tacit knowledge. The results of the empirical analysis of 100 data sets collected through a scenario-based survey show that certainty of sanctions, social disapproval, and competence are found to have a significant effect on reducing tacit knowledge leakage intention. Furthermore, informal sanctions have a greater impact on tacit knowledge leakage intention than formal sanctions and external factors have a greater effect on tacit knowledge leakage intention than internal factors.

Online financial counseling services are increasingly expanding with the rise of artificial intelligence-based chatbots. It is very important to examine the effects of emoticons noted as alternatives for communicating emotions in online communication between consumers and companies. In this paper, we examine how the use of emoticons affects the consumer's response and investigate the moderating roles of type of counseling agents (human vs. chatbot) and the consumer's subjective financial knowledge. The results show that the use of emoticon in the conversation brings a positive effect on the consumer's intention to use of online chat counseling service. When participants had relatively low subjective financial knowledge, they had higher intention to use online chat counseling services with emoticons only when the agent type was chatbot. When the type of counseling agent was human, this positive effect of the emoticon did not occur. On the other hand, when participants had relatively high subjective financial knowledge, they had higher intention to use online chat counseling service with emoticons only when the agent type was human. This study contributes to providing practical implications to build online chat counseling service using chatbot in the financial industry by studying users' intention depending on the type of agents and the level of their subjective knowledge.

This paper is aim to test how market orientation is related to the investment decision making. After controlling for firm-specific factors, this study finds a significantly positive relationship between market orientation and R&D expenditures, especially firms with high ratio of intangible assets and low ratio of abnormal inventory assets. Under conditions of low quality of earnings, the negative relation between market orientation and R&D expenditures is enhanced in electronic related industries. This indicates that the relation between market orientation and R&D expenditures may exhibit more reasonable patterns for investment decision of firms in technology driven business environment.

E-commerce in Korea has grown steadily in recent years. E-commerce has provided firms with an effective method to approach potential customers by overcoming geographical and physical barriers. However, despite the rapid growth, many e-commerce businesses closed their businesses and were not able to survive. This study aims to empirically examine the factors that determine the survival of e-commerce businesses in Korea. In particular, this study focuses on the factors related to the notion of institution-based trust that includes delivery, privacy, and security management. This research used the data set about 31,295 e-commerce businesses that have been registered in Seoul. We found that the e-commerce business that does not require extra personal information beyond the standard terms and conditions or provides a feedback mechanism by having an online board to submit a complaint has a higher chance of survival. In addition, the e-commerce business that has a secured web server, shows the specific information about the date of delivery, or provides escrow services is likely to survive longer than others. The research has extended the extant literature on the importance of trust in e-commerce by empirically examining the effects of the institution-based trust factors on the actual survival of e-commerce businesses.

In the era of the Fourth Industrial Revolution, digital transformation is emerging in the education and learning fields. As the use of the mobile Internet and mobile devices has become a daily life, mobile learning that supports a variety of learning in a mobile environment is drawing attention. Mobile learning applications (apps) are expected to expand their use by providing a convenient learning environment anytime, anywhere. This study investigates the use of mobile learning apps in English education, which is one of the most popular learning areas, and empirically examines the factors that influence the continuous use of mobile learning apps. In particular, it analyzes the differences between Chinese and Korean users. The results of this study provide theoretical and practical implications to promote the development of mobile apps suitable for mobile learning environments and the sustainable user growth in mobile learning.

The growth of mobile commerce (m-commerce) has been accelerated around the world. Why do e-retailers have to put a great deal of effort for the distribution of their mobile apps? The literature has paid little attention to the influence of the introduction of an e-commerce app on shopping behaviors of consumers. By analyzing the dataset of 2,342 users in Korea, this study aims to broaden our understanding of mobile shopping app usage across competing e-retailers and different channels. We found that a user's prior usage of a specific e-commerce mobile app increases her subsequent usage of its website through a mobile web browser. Thus, mobile apps do not cannibalize the mobile web channel, and there could be a complementary relationship. We also found that a user's usage of competitors' apps is positively associated with her subsequent usage of a specific e-commerce app. Because many consumers search products and compare prices across multiple e-retailers, having a mobile app helps an e-retailer be exposed to more potential consumers. This study is among the first to study the role of mobile apps in e-commerce by showing the dynamics of cross-channel and cross-vendor usage by a user.