• Journal of Korean Society for Quality Management
• /
• v.47 no.1
• /
• pp.59-74
• /
• 2019

Purpose: Despite the fact that the majority of domestic firms are small in size, there have been few studies conducted to understand the leadership effectiveness of small firm CEOs. Based on the upper echelon theory, this study attempts to demonstrate empirically that transformational leadership of small firm CEOs can increase the innovative behavior of employees. In addition, the present study examines mediating effects of CEO trust perceived by employees when transformational leadership affects employees' innovative behavior. Methods: The survey data of CEOs'transformational leadership, innovative behavior of employees, and perceived CEO trust were collected from 176 employees working in domestic small firms. Hierarchical regression analyses were performed to examine the main effects between transformation leadership and innovative behavior and mediating effects of CEO trust perceived by employees. Results: The results show that CEOs' transformational leadership is significantly related to the innovative behavior of employees in the current sample. Results also indicate that CEO trust perceived by employees reveals a mediating effect in the process of transformational leadership affecting innovative behavior. Conclusion: The results show that as suggested by the upper echelon theory, the leadership of small firm CEOs can have a significant impact on positive job-related behaviors and attitudes of employees. The results also contribute to expand on the understanding of the relationship between transformational leadership and innovative behavior by explaining that transformational leadership can mediate trust in CEOs in enhancing employees'innovative behavior. Theoretical and practical implications are reviewed, and limitations of the study and suggestions for future research are addressed.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.5
• /
• pp.205-210
• /
• 2019

In this study, in order to promote informatization of Meat Processed Food Industry, we standardize three processes of sales management, purchaser logistics and production management, develop standard modules, and develop integrated business functional design in ERP system development. This study reduces the cost of introducing the production equipment information standardization module in the food industry and the specialized IT companies that are slow in informatization, and maximizes the effectiveness and provides reliability by being a database where research standardization can be compared and analyzed. By applying the results of this study, it is possible to establish efficient processes of sales, buyer logistics, production, improvement of quality, and reduction of production cost from the receipt of food raw materials / subsidiary materials to finished products.

• Journal of the Korea Society of Computer and Information
• /
• v.24 no.10
• /
• pp.101-116
• /
• 2019

In this paper, we propose a novel behavioral model that explains the use of the military battlefield management system more effectively in the non-voluntary use environment. This study intends to suggest a model based on the Unified Theory of Acceptance and Use of Technology(UTAUT), an extended TAM. Also, it introduces the concept of 'Conative IS use' as a dependent variable that can explain user's behavior more effectively in non-voluntary technology acceptance environment. In addition, we propose the major factors affecting the UTAUT components from the TOE(Technology-Organization-Environment) perspectives, and analyze their effects. In order to validate the proposed model, this study applies PLS(Partial Least Squares) to the survey collected from military personnel. The findings of our study may shed a light on improving the effectiveness of battlefield management information system.

• Journal of Internet Computing and Services
• /
• v.22 no.3
• /
• pp.53-58
• /
• 2021

There is little research on actual business activities in the field of security control. Therefore, in this paper, we intend to present a practical research methodology that can contribute to the calculation of the size of the appropriate input personnel through the modeling of the threat information detection response time of the security control and to analyze the effectiveness of the latest security solutions. The total threat information detection response time performed by the security control center is defined as TIDRT (Total Intelligence Detection & Response Time). The total threat information detection response time (TIDRT) is composed of the sum of the internal intelligence detection & response time (IIDRT) and the external intelligence detection & response time (EIDRT). The internal threat information detection response time (IIDRT) can be calculated as the sum of the five steps required. The ultimate goal of this study is to model the major business activities of the security control center with an equation to calculate the cyber threat information detection response time calculation formula of the security control center. In Chapter 2, previous studies are examined, and in Chapter 3, the calculation formula of the total threat information detection response time is modeled. Chapter 4 concludes with a conclusion.

• The Journal of Society for e-Business Studies
• /
• v.26 no.1
• /
• pp.67-78
• /
• 2021

The number of domestic e-commerce transactions has been breaking its own record by an annual average growth rate of over 20% based on volume for the past 5 years. Due to the rapid increase in e-commerce market, retail companies that have difficulty meeting consumers in person are in fierce competition to take the lead in the last mile service, which is the only point of contact with customers. Especially in the delivery area, where competition is most intense, the role of the fulfillment center is very important for service differentiation. It must be capable of fast product preparation ordered by consumers in accordance with the delivery service level. This study focuses on the order picking system for rapid order processing in the fulfillment center as an alternative for companies to gain competitive advantage in the e-commerce market. A mixed integer programming model was developed and implemented to optimize the stock replenishment in order picking facilities. The effectiveness was scientifically and objectively verified by simulation using the actual operation process and data.

• Asia-Pacific Journal of Business
• /
• v.11 no.4
• /
• pp.65-81
• /
• 2020

Purpose - This research aims to investigate how consumers' eco-friendly product choice ratio changes as the benefits of eco-friendly products are framed as (1) non-monetary benefits, (2) monetary gain integrated with the loss or (3) monetary gain segregated from the loss. Design/methodology/approach - A mixed-design, scenario-based choice experiment was conducted. A series of chi-square tests and residual analyses were conducted to analyze the data. Findings - When the monetary gain was larger or slightly smaller than the loss, the participants' eco-friendly product choice ratio was higher when the monetary gain was integrated with the loss than those in the other two conditions. When the monetary gain was significantly smaller than the loss, the participants' eco-friendly product choice ratio was lower when the monetary gain was integrated with the loss than those in the other conditions. The ratio did not differ between the latter two conditions. Research implications or Originality - This research shows that marketers should frame the benefits of eco-friendly products and their costs in different manners depending on the relative magnitudes of them. This research also complements the existing literature by comparing the effectiveness of non-monetary framing of eco-friendly product benefits with that of monetary framing following hedonic editing hypothesis.

• Journal of the Korean Society of Safety
• /
• v.37 no.5
• /
• pp.89-99
• /
• 2022

This study was conducted to provide basic data for establishing safety management measures, which facilitate accident prevention, in the institutions that were subject to the regulations that pertain to the maintenance of a safe laboratory environment. The data was collected between 2018 and 2020, and it was analyzed to establish the effectiveness of the laboratory safety management measures that focus on universities, research institutes, and business-affiliated research institutes. Consequently, the level of compliance with the regulations and the size of the institution influenced the accident rate. More specifically, the accident rate increased when an institution was subject to risk factors, or when the institution failed to conduct routine and regular inspections. Furthermore, it was observed that institutions where accidents occurred exhibited a lower level of completion in regard to safety education for laboratory directors and research workers than those in which no accidents occurred. Finally, it was observed that the number of researchers, laboratories, in-depth safety inspection laboratories, and the level of safety management expenses were higher in the institutions where accidents occurred than in the institutions in which no accidents occurred.

• Journal of Internet Computing and Services
• /
• v.23 no.6
• /
• pp.87-96
• /
• 2022

This paper is an empirical analysis as a reference model that can predict up to the maximum number of elementary school student care needs in local governments across the country. This study analyzed and predicted the characteristics of the region based on machine learning to predict the demand for elementary care in a new apartment complex. For this purpose, a total of 292 variables were used, including data related to apartment structure, such as number of parking spaces per household, and building-to-land ratio, environmental data around apartments such as distance to elementary schools, and population data of administrative districts. The use of various variables is of great significance, and it is meaningful in complex analysis. It is also an empirical case study that increased the reliability of the model through comparison with the actual value of the basic local government.

• Journal of Intelligence and Information Systems
• /
• v.28 no.4
• /
• pp.275-286
• /
• 2022

The metaverse platform has been gaining popularity since the pandemic. It facilitates non-face-to-face interaction among creators, users, advertisers, various forms of organizations, and itself. Such interaction has brought light to the new forms of economy, which is called the "creator economy." By providing the virtual space, easy tools, and methods, the platform allows the creators to produce value for the users in the forms of virtual items, content, and experiences. At the same time, it provides audiences to the organizations that need attention. In the course, the platform and the creators generate revenue. Among the diverse revenue sources, this study focuses on revenue generated from advertising and studies how the revenue sharing between the platform and the creator is affected by the abilities of the metaverse platform. With an analysis of the analytical model, we show that if the platform has the ability to reduce advertising avoidance, it can reduce the revenue share of the creator without discouraging the creator from making the proper effort in content creation. Also, as the platform provides effective tools and methods for quality content creation, it can reduce the revenue share of the creator without damaging the creator's required motivation. The ability of the platform in increasing advertising effectiveness helps it to reduce the revenue share of the creator as well.

• Journal of Industrial Convergence
• /
• v.21 no.1
• /
• pp.43-53
• /
• 2023

In China, enterprises are increasingly shifting the focus of their reforms toward stimulating the development of organizational effectiveness under the guidance of the long-term planning system. Innovative ideas and constructive suggestions originating internally are likely to inject new vitality into their ongoing development, allowing them to better face new global opportunities and challenges. Therefore, this study verifies the impact of voice endorsement and outcomes for the workers in china and selected perceived organizational support as a mediator variable. Based on theoretical research, this study proposes and tests 6 key research hypotheses using structural equation modeling(SEM). Data were collected from employees in China by the survey method. The analysis results reveal that perceived organizational support plays a mediating role in the relationship between voice endorsement and the outcomes of job satisfaction, job commitment, and job performance except for job stress.