Purpose
This study exploratory investigated the effects of the fit between forms of knowledge management(KM) strategy and types of information technology(IT) capability on the kinds of innovations such as product and process innovations. In this study, the openness of innovations that affects the innovations of a firm is considered.
Design/methodology/approach
For this empirical study, 104 manufacturing firms' data were finally collected through field survey. For the analysis of the data, cluster analysis and multiple regression analysis were employed.
Findings
This study demonstrated that when a system-oriented KM strategy is adopted, IT flexibility, which supports the implementation of a system-oriented strategy, is highly employed and utilized. It was also found that under a dynamic KM strategy, both IT integration and IT flexibility are highly employed. For the innovation of a firm, it was found that when a system-oriented strategy is employed and the flexibility of IT is highly adopted, the levels of product innovation are enhanced. Under a dynamic strategy, when the degrees of IT integration and IT flexibility are high, high levels of product and process innovations were empirically found. The impact of innovation openness on the innovations of a firm were partially demonstrated. Finally, the positive impact of the innovations on the improvement of performance in manufacturing firms were demonstrated.

Purpose
Despite the recent increase in the use of selection tools using artificial intelligence (AI), far less is known about the effectiveness of them in recruitment and selection research.
Design/methodology/approach
This paper tests the impact of AI-based initial screening and interview on intentions to apply. We also examine the moderating role of individual difference (i.e., reliability on technology) in the relationship.
Findings
Using policy-capturing with undergraduate students at a large university in South Korea, this study showed that AI-based interview has a negative effect on intentions to apply, where AI-based initial screening has no effect. These results suggest that applicants may have a negative feeling of AI-based interview, but they may not AI-based initial screening. In other words, AI-based interview can reduce application rates, but AI-based screening not. Results also indicated that the relationship between AI-based initial screening and intentions to apply is moderated by the level of applicant's reliability on technology. Specifically, respondents with high levels of reliability are more likely than those with low levels of reliability to apply for firms using AI-based initial screening. However, the moderating role of reliability was not significant in the relationship between the AI interview and the applying intention. Employing uncertainty reduction theory, this study indicated that the relationship between AI-based selection tools and intentions to apply is dynamic, suggesting that organizations should carefully manage their AI-based selection techniques throughout the recruitment and selection process.

Purpose
The purpose of this study is to examine the impact of tie strength in the network of industrial clustering on the knowledge acquisition, integration and innovation performance of small and medium sized enterprises. We test the positive relationship of weak tie and knowledge acquisition, strong tie and knowledge integration, and the interaction effect of two tie strengths on both processes of knowledge acquisition and integration. By identifying these relationships, we can better understand how to manage the attributes of social networks in terms of tie strength in order to improve the performance of innovation for the small and medium sized enterprises. 
Design/methodology/approach
We collect 200 survey data from 2 industrial cluster respectively: Pankyo and Guroo. In Pankyo, the proportion of IT industry is the highest (35%) while the proportion of manufacturing is highest (35%) in Guroo. Pooling the data from two industrial cluster, we check the reliability and validity of our research model and test the hypotheses.
Findings
First, we find the positive relationship of weak tie and knowledge acquisition from both industrial clustering. Weak tie is composed of heterogeneous organizations with various background and expertise. The communication and information sharing of organizations in the weak tie network helps the idea generation for organization's innovation, which is the knowledge acquisition process.
Second, the relationship of strong tie and knowledge integration is insignificant. Typically the strong tie from long-lasting partnership is expected to be beneficial in the action stage of innovation, which is the knowledge integration process. However it is not identified in our industry cluster.
Finally, the interaction effect of weak and strong tie is identified to be effective on both knowledge acquisition and integration processes.

Purpose
This study conducted an empirical study on the influence of institutional mechanisms on the formation of customer trust among leading online businesses. This study focused on the construct of PEEIM(Perceived Effectiveness of e-Commerce Institutional Mechanisms) which is the perceived recognition of institutional mechanisms for e-Commerce in general and the construct of PEIS which is the perceived recognition of institutional mechanisms that are implemented by vendors. 
Design/methodology/approach
The online and offline surveys were conducted for the leading online shopping vendors in Korea and 292 data were used for the empirical analysis. The research model was tested using partial least squares structural equation modeling (PLS-SEM) in this study. The full measurement model including the formative second-order constructs was examined with the exploratory factor analysis. The structural model was analyzed via a two-stage approach. To analyze the research model this study used Smart PLS 2.0 program.
Findings
The findings showed that PEEIM negatively moderates the relationship between satisfaction in vender and trust in vender, but had no moderating effect between trust in vender and repurchase intention. In addition, the institutional mechanisms of vendors(PEIS) have been shown to have a direct impact on the vender's trust.

Purpose
The purpose of this study is to explain the mechanism of user behaviors in password reset context based on descriptive data from conducting interviews. Specifically, this study attempted to describe the process of changing password from the shadow work perspective.
Design/methodology/approach
This study has interviewed 8 participants who can freely use numerous online web-sites. This study also employed the grounded theory methodology to analyze interview manuscripts. After conducting analyzing the manuscripts, this study has extracted 46 codes in the coding steps and ultimately presented 8 categories by combining similar concepts from those codes.
Findings
According to the results, this study provides new viewpoints to explain unique user behavior in the password reset context by capturing the shadow work based on the results. This study further offers practical implications to numerous practitioners by finding various codes, which related to users' reaction and behavior.

Purpose
South Korea and China have a long and deep relationship from ancient times to the present. There are many exchanges between economic and educational or other aspects. It will be interesting to compare the perceptions of preliminary entrepreneurs in South Korea and China.
Design/methodology/approach
This study attempts to analyze the intentions of Korean and Chinese entrepreneurs, and to find the differences between Korean and Chinese entrepreneurs. The research model of this study is composed of internal and external affecting variables, and one dependent variable as the intention of entrepreneurs. A structured questionnaire was distributed to college students and graduate students in South Korea and in China. Data have been analyzed using a Lisrel 8.80 software.
Findings
The results of this study indicate that all variables except for successful role model have a positive influence on entrepreneurial intentions. The nationality partially mediates the causal relationship between independent variables and dependent variable. Some discussion and implications are suggested.

Purpose
The purpose of this study is to empirically identify the risky behavior of mobile device users using the Internet of Things on a situational perspective. Design/methodology/approach
This study made a design of the research model based on model of the determinants of risk behavior. Data were collected through a survey including hypothetical scenario. SmartPLS 2.0 was used for the structural model analysis and t-test was conducted to compare the between normal and situational behavior.
Findings
The results were as follows. First, the central roles of risk propriety and risk perception were verified empirically. Second, we identified the role of locus of control as a new factor of impact on risky behavior. Third, mobile risk propensity has been shown to increase risk perception. Fouth, it has been shown that risk perception does not directly affect risky behavior and reduce the relationship between mobile risk propensity and risk behavior. According to the empirical analysis result, Determinants of risk behavior for mobile users were identified based on a theoretical framework. And it raised the need to pay attention to the impact of locus of control on risk behavior in the IS security field. It provided direction to the approach to risky behavior of mobile device users. In addition, this study confirmed that there was a possibility of taking risky behavior in the actual decision-making

Purpose
This study collects the issues about work-life balance in Korea and United States and suggests the specific plans for work-life balance by the comparison and analysis. The objective of this study is to contribute to the improvement of people's life quality by understanding the concept of work-life balance that has become the issue recently and offering the detailed plans to be considered in respect of individual, corporate and governmental level for society of work-life balance. Design/methodology/approach
This study collects work-life balance related issues through recruit sites in Korea and United States, compares and analyzes the collected data from the results of three text mining techniques such as LDA topic modeling, term frequency analysis and keyword extraction analysis.
Findings
According to the text mining results, this study shows that it is important to build corporate culture that support work-life balance in free organizational atmosphere especially in Korea. It also appears that there are the differences against whether work-life balance can be achieved and recognition and satisfaction about work-life balance along type of company or sort of working. In case of United States, it shows that it is important for them to work more efficiently by raising teamwork level among team members who work together as well as the role of the leaders who lead the teams in the organization. It is also significant for the company to provide their employees with the opportunity of education and training that enables them to improve their individual capability or skill. Furthermore, it suggests the roles of individuals, company and government and specific plans based on the analysis of text mining results in both countries.

Purpose
In order to find out the influential factors to accept the mobile convenient payment service like Apple pay or Samsung Pay based on the Unified Theory of Acceptance and Use of Technology according to the type of High and Low value payments.
Design/methodology/approach
This research model is designed on the factors of Unified Theory of Acceptance and Use of Technology and simultaneously analysed, or performed the empirical analysis of the PLS-SEM(Partial Least Squares structural equation model) in order to forage for the association among mobile convenient payment service's features.
Findings
According to the empirical analysis consequence, this research confirmed that the adoption of mobile convenient payment services is influence by features on the basis of Unified Theory of Acceptance and Use of Technology, mobility, and trust. Also, this paper figure out that the behavior of an user acceptance of mobile convenient payment services according to the type of high and low value payments.