• Korean small business review
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• v.42 no.1
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• pp.57-77
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• 2020

In Korea, various schemes have been implemented to prevent the outflow of technology, but they do not bring practical effects. In general, we focus on follow-up measures such as strong punishment in case of violation of the law. In terms of proactive prevention, it is not shown to have any real preventive effect, even though it includes such matters as imposing security measures on companies or conducting a survey. this paper examines the need to strengthen the protection of business secrets by reviewing the employment rules between companies and workers presented in the Labor Relations Act and the Labor Standards Act as a realistic alternative. In most companies, even though the employment rule is the highest standard of private regulations, the employment rule has no matters on the prevention and protection of technology leakage. The employment rules require all employees working for companies to agree and notify in the Labor Standards Act, so it is necessary to reflect them as standards in the standard employment rules because it shows that all employees of the company can have a common sense of security and present legal compliance with security-related documents, such as security pledges and security-related guidelines and procedures.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.6
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• pp.269-285
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• 2021

As the systematic management of knowledge within an organization is recognized as a core factor for the continuous growth of an organization, organizations are increasing their interest in knowledge management. Knowledge management requires the active sharing of knowledge by insiders of the organization, but there are cases of failure due to the lack of participation of leaders and employees of the organization. The purpose of this study is to suggest a mechanism by which the authentic leadership of leaders in small and medium-sized enterprises(SME), which are relatively lacking in knowledge production capacity, leads to intention to share knowledge of employees. In addition, the study confirms that reciprocal feedback and task interdependence moderate the relationship between antecedent factors and intention to share knowledge. In this study, a research model was derived based on precedent research, and 272 samples were obtained by conducting a questionnaire survey on employees of SME that introduced a knowledge management policy. And, the study verified the hypothesis by applying structural equation modeling based on AMOS 22.0. The results of the study proved that authentic leadership has a positive effect on the intention to share knowledge through organization identification and organization commitment, and confirmed that reciprocal feedback and work interdependence moderate the relationship between knowledge sharing intentions and antecedent factors. This study suggests the mechanism by which the authentic behavior of the leaders of SMEs affects the knowledge sharing behavior of employees, and suggests that work cooperation strengthens the influence of the mechanism.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.599-608
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• 2022

There has been criticism that the government-led makerspace did not reflect the actual demand of makers, so there was a limit to performance creation. In this regard, the study aims to diagnose the current status and problems of makerspace and to suggest the implication to respond to policy demand. To this end, we analyzed the current status of makerspace by utilizing the government documents. Then, we conducted a survey of SMEs related to ICT devices that experienced makerspace, and analyzed their opinions on D·N·A technology demand, management difficulties, and governments' support policies. As results, the study proposed several improvement measures to upgrade makerspace as a digital conversion platform as follows. First, due to the nature of the existing industry for introducing D·N·A technology, there is a limit for companies to enter the market on their own, so comprehensive support from the government is needed. Second, it is necessary to establish and expand an empirical test bed for the development of new products and services so that various types of metaverse contents can be discovered and digital transformation convergence models of existing businesses can be derived. Third, by modifying the support method to operate the makerspace as a platform that implements the government-led start-up support policy, boldly transfer what the private sector can do well to the private sector. The participants of Industry·University·Institute Collaboration should freely share ideas and help the common problem be solved. Based on the problems and the findings for improvement, it is expected that the current makerspace would be upgraded to a digital conversion platform suitable for the demand of the field.

• Journal of Service Research and Studies
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• v.12 no.2
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• pp.80-93
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• 2022

This study is a study on a methodology that can extract various factors that affect purchase and use of products/services from the consumer's point of view through previous studies, and analyze the types and tendencies of consumers according to age and gender. To this end, we quantify factors in terms of general personal propensity, consumption influence, consumption decision, etc. to check the consistency of data, and based on these studies, we conduct research to suggest and prove data analysis methodologies of consumer types that are meaningful from the perspectives of startups and SMEs. did As a result, it was confirmed through cross-validation that there is a correlation between the three main factors assumed for data analysis from the consumer's point of view, the general tendency, the general consumption tendency, and the factors influencing the consumption decision. verified. This study presented a data analysis methodology and a framework for consumer data analysis from the consumer's point of view. In the current data analysis trend, where digital infrastructure develops exponentially and seeks ways to project individual preferences, this data analysis perspective can be a valid insight.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.265-288
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• 2023

Process mining has generally analyzed the default logs of Information Systems such as SAP ERP, but as the use of automation software called RPA expands, the logs by RPA bots can be utilized. In this study, the actual status of RPA automation in the field was identified by applying RPA bots to the work of three domestic manufacturing companies (cosmetic field) and analyzing them after leaving logs. Using Uipath and Python, we implemented RPA bots and wrote logs. We used Disco, a software dedicated to process mining to analyze the bot logs. As a result of log analysis in two aspects of bot utilization and performance through process mining, improvement requirements were found. In particular, we found that there was a point of improvement in all cases in that the utilization of the bot and errors or exceptions were found in many cases of process. Our approach is very scientific and empirical in that it analyzes the automation status and performance of bots using data rather than existing qualitative methods such as surveys or interviews. Furthermore, our study will be a meaningful basic step for bot behavior optimization, and can be seen as the foundation for ultimately performing process management.

• Journal of Platform Technology
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• v.11 no.3
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• pp.83-97
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• 2023

This research aims to identify startup trends by analyzing a large number of news articles through semantic network analysis. Using the BIGKinds article analysis service provided by the Korea Press Foundation, 330,628 news articles from 19 newspapers from January 2013 to December 2022 were comprehensively analyzed. The study focused on exploring the changes in key issues over the past decade, considering the impact of the social environment and global economic trends on entrepreneurship. We compared the number of news articles and changes in issues before and after the COVID-19 pandemic, and visualized entrepreneurship trends through frequency analysis, relationship analysis, and correlation analysis. The results of the study showed that the top keywords for entrepreneurship-related words are startup activation and commercialization, and the correlation between COVID-19 and entrepreneurship keywords is almost negligible in a linear sense, but the number of news articles decreased during the pandemic, which has an impact. In particular, the most frequently mentioned keywords are Ministry of SMEs and Startups, place is the United States, and person is limited. The agency was the SBA, and the entrepreneurship sector is more affected by social issues than any other sector, with the important characteristics of increased frequency of prompt access. This study supplies essential basic data for understanding and exploring issues and events related to entrepreneurship and suggests future research topics in the field.

• Journal of Technology Innovation
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• v.31 no.1
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• pp.149-173
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• 2023

The purpose of this paper is to analyze the effect of government R&D subsidies on business performance of SMEs in the field of Land, Infrastructure, and Transport. To this end, based on domestic and foreign literature, the performance derived through R&D was classified as primary and secondary parameters, and the commercialization program operated by the government was set as a moderating variable. Regression analysis, double mediation analysis, and moderated mediation effect analysis were used to confirm the effect of government R&D subsidy on project performance and process. As a result of this study, it was confirmed that government R&D subsidies have a significant effect on corporate management performance, and it was confirmed that the primary performance such as papers and patents and the secondary performance such as prototypes and legislative revisions have a double mediating. In addition, when the commercialization program was applied to the first and second parameters, it was confirmed that it played a moderated mediating effect. The results of this study are expected to be used when establishing government R&D support plans to expand business performance and economic effects in the future.

• Journal of Industrial Convergence
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• v.21 no.6
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• pp.1-11
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• 2023

The purpose of this study is to verify the factors affecting corporate bankruptcy by using non-financial information of companies invested by credit guarantee institutions. In this study, 594 companies (525 normal companies, 69 insolvent companies) invested in by the Korea Credit Guarantee Fund from March 2014 to the end of December 2022 were selected as samples. Non-financial information of companies was divided into founder characteristics information, company characteristics information, and corporate investment information, and cross-analysis and logistic regression analysis were conducted. As a result of the cross-analysis, personal credit rating, industry, and joint investment were selected as significant variables, and logistic regression analysis was conducted for those variables, and two variables, personal credit rating and joint investment, were selected as important factors for bankruptcy. In business management, the founder's personal credit and the importance of joint investment in investment support were found out. It will help to minimize bankruptcy if institutions that support investment in SMEs reflect these results in their screening and systematically build cooperative relationships with private investment institutions. It is hoped that this study will provide an opportunity to pay more attention to the factors that affect the bankruptcy of companies that receive direct investment from public institutions.

• Knowledge Management Research
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• v.23 no.4
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• pp.207-231
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• 2022

The purpose of this study is to identify the relationship between PJF(person-job fit) and members' organizational commitment focusing on the mediating factor. Previous Studies have found that person-job fit has positive effect on organizational commitment, and self-efficacy has positive effect on the organizational commitment. On the other hand, the studies to identify whether self-efficacy has a role in mediation between PJF and the members' organizational commitment has been insufficient. To that end, we considered self-efficacy as the mediator of the relationship between PJF and organizational commitment. We used the data which to perform national policy research from 690 workers at a small or medium firm. As a result of verifying the suitability of the research model, it was suitable for the acceptance criteria. Besides the hierarchical regression analysis, bootstrapping was conducted to verify significance of mediating effect of self-efficacy. The main results are as follows. First, the variables, PJF, self-efficacy and organizational commitment showed a positive correlation. Second, PJF has a positive effect on self-efficacy and organizational commitment significantly. Also self-efficacy has a positive effect on organizational commitment significantly. Third, the mediating effect of self-efficacy in the relationship between PJF and organizational commitment is significant. In order to improve person-job fit, this study suggested that SMEs' owners should consider job rotation system and career development program for employees. Based on this study result and implications, we discussed limit of research and direction for future research.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.89-99
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• 2022

Due to COVID-19, non-face-to-face cultures such as remote classes, remote work, and tele-medicine are spreading. The major contributors to the settlement of such a non-face-to-face society are small and medium SW companies and SW manpower. However, recently as large platform companies and foreign big tech companies hire thousands of SW manpower, SW small and medium-sized companies are experiencing a serious manpower shortage. Therefore, the purpose of this study is to suggest policy alternatives for SMEs to stably secure SW manpower and support continuous business operation. To achieve this purpose, this study examines the current status of the SW industry and manpower, then summarizes related issues and suggests policy alternatives to solve these issues. Those policies include the reinforcement of incentives to support manpower retention such as the Naeil Chaeum deduction system, youth housing union composition, special military service system, recruitment of manpower through the contract semester system of employment conditions, reinforcement of customized education through supplementation of the SW manpower training voucher system, SW field skill standardization, establishment of a governance system for nurturing SW manpower, preparation of countermeasures against the outflow of manpower to large companies, and a win-win cooperation program for large and SME SW manpower.