• Culinary science and hospitality research
• /
• v.23 no.4
• /
• pp.43-55
• /
• 2017

The purpose of the study is to provide data for an efficient human resources management of hotel corporation by examining if the emotional intelligence with affective involvement and continuous involvement could impact work performance. For the field test and verification, the non-regular hotel staffs from November $1^{st}$ to $30^{th}$, 2016 were selected as the research objects. The research result is summarized as follows. First, the emotional intelligence of non-regular hotel staff impacted positively on affective involvement and continuous involvement. Second, the continuous involvement had a positive influence on work performance. Lastly, the emotional intelligence of non-regular hotel staff appeared to have a positive effect on the work performance. With this research, it may have an opportunity to utilize this study result as an educational material to enhance emotional intelligence of hotel corporation. In conclusion, it may need to introduce an emotional intelligence enhancement program in the hotel corporation. Also, in order to improve work performance, intensive efforts in organizational level would be required by enabling employees to make an affective involvement. Finally, to cope with rapidly changing circumstances, additional empirical study should be conducted that the affective involvement of non-regular hotel staff impacts the work performance.

• Journal of the Korea Safety Management & Science
• /
• v.14 no.2
• /
• pp.91-101
• /
• 2012

To decrease employees' job stress in the viewpoint of occupational health is very important to improve the productivity and quality of labor. In this study, the job stress, and it's influence on job commitment and organizational commitment were investigated by the questionnaire survey of 259 industrial workers. As results, the majority of workers were under job stress resulted from job demand, job control, and coworker's support. The work times per a week and night work had significant relationships with job demand, and the maximum negative relationship between the work times per a week and job continuous commitment was found. Job demand had the significant relationship with job affective and normative commitment, and job control had the significant relationship with job normative commitment and organizational affective commitment. Moreover, job affective and normative commitment had the significant relationship with organizational continuous commitment. Finally, it was found that cyclic organic chain was composed of work times per a week, night work, salary, job demand, job control, job affective and normative commitment, and organizational affective and continuous commitment. The results of this study indicates that reducing cyclic organic chain is urgently necessary to increase employees' job satisfaction and company commitment.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.39 no.1
• /
• pp.123-129
• /
• 2016

In the manufacturing industry fields, thousands of quality characteristics are measured in a day because the systems of process have been automated through the development of computer and improvement of techniques. Also, the process has been monitored in database in real time. Particularly, the data in the design step of the process have contributed to the product that customers have required through getting useful information from the data and reflecting them to the design of product. In this study, first, characteristics and variables affecting to them in the data of the design step of the process were analyzed by decision tree to find out the relation between explanatory and target variables. Second, the tolerance of continuous variables influencing on the target variable primarily was shown by the application of algorithm of decision tree, C4.5. Finally, the target variable, loss, was calculated by a loss function of Taguchi and analyzed. In this paper, the general method that the value of continuous explanatory variables has been used intactly not to be transformed to the discrete value and new method that the value of continuous explanatory variables was divided into 3 categories were compared. As a result, first, the tolerance obtained from the new method was more effective in decreasing the target variable, loss, than general method. In addition, the tolerance levels for the continuous explanatory variables to be chosen of the major variables were calculated. In further research, a systematic method using decision tree of data mining needs to be developed in order to categorize continuous variables under various scenarios of loss function.

• Journal of Korean Society for Quality Management
• /
• v.51 no.2
• /
• pp.315-327
• /
• 2023

Purpose: Recently, research has continued to predict the time of failure of the facility through measurement data obtained by attaching a sensor to the facility. However, depending on the facility, it may be difficult to attach a sensor. The purpose of this study is to propose a power generation maintenance plan system based on failure record data obtained from Continuous Ship Unloader, one of the facilities that is difficult to attach sensors. Methods: This study uses data collected from 2012 to 2022 from the 'CSU-1B' model among Continuous Ship Unloader operated by Korea Midland Power Co., LTD. By fitting fault record data to the Weibull distribution, appropriate maintenance cycles and ranges for each target facility subsystem are derived. In addition, maintenance group between subsystems is selected through Euclidean distance, a metric often used for time series data similarity. Through this, a system for establishing an maintenance plan for power generation facilities is proposed. Results: The results of this study are as follows. For the 17 subsystems of the Continuous Ship Unloader, proper maintenance cycles and ranges were determined, and a total of four maintenance groups were chosen. This resulted in the creation of an power generation maintenance plan system and the establishment of an maintenance plan. Conclusion: This study is a case study of power generation facilities. We proposed a maintenance plan system for Continuous Ship Unloader among power generation facilities.

• Journal of Information Technology Services
• /
• v.18 no.5
• /
• pp.99-117
• /
• 2019

In recent years, the one-person media has increasingly gained popularity. The purpose of this study is to investigate the relationship among the service quality, satisfaction and intention of continuous use of one-person media service and to further examine the mediating effect of satisfaction operating on the relationship between the service quality and intention of continuous use. Based on the literature review, hypotheses were developed and the research model was built for testing. The sample of 358 users was selected to achieve these objectives. From the analysis of PLS(Partial Lease Square Path Analysis), key research findings are summarized as follows. First, relationships among the service quality, satisfaction, and intention of continuous use were all positively correlated each other. Second, the effect of service quality on intention of continuous use was mediated by satisfaction. Third, the content quality of one-person media has the higher effectiveness than platform quality to satisfaction and intention of continuous use. Results of this paper are expected not only to emphasize the importance of satisfaction based on the service quality, but also to provide multifaceted implications and directions for the management of one-person media service effectively.

• Information Systems Review
• /
• v.25 no.3
• /
• pp.199-220
• /
• 2023

Projects to deploy and diffuse smart factories in South Korea are aimed at enhancing national manufacturing competitiveness. However, a significant portion of deployed companies remain at the basic stage and struggle to utilize smart factories regularly. Existing studies have primarily focused on the technical aspects of smart factories, using data analytics and case studies, leading to a gap in empirical research on continuous use and upgrade intentions. This study identifies key factors influencing smart factory usage and user satisfaction, drawing on the Information Systems Success Model (ISSM) and previous research. It empirically examines the impact of these factors on continuous use intention, management performance, and advancement acceptance intention through smart factory usage and user satisfaction. A structural equation model is employed to validate the research hypotheses, using survey data from 287 small and medium-sized manufacturing enterprises (SMEs) that have adopted smart factories. Results demonstrate that system quality, information quality, service quality, and government support significantly affect smart factory usage, while service quality and government support influence user satisfaction. Furthermore, smart factory usage and user satisfaction have positive effects on management performance, continuous use intention, and subsequently advancement acceptance intention. This study provides novel insights by demonstrating the specific impact mechanisms of smart factory user satisfaction on the business and the intentions of manufacturing SMEs regarding continuous use and advancement acceptance, leveraging the ISSM.

• Journal of the Korea Safety Management & Science
• /
• v.25 no.3
• /
• pp.55-62
• /
• 2023

Public institutions have a responsibility to ensure the safety of their employees and the public. One way to do this is to implement a systematic safety inspection system based on risk assessments and continuous improvements. This study developed a systematic safety inspection system for public institutions that are ordered construction projects. The proposed system in this study consists of a three-step process: (1) developing safety grade evaluation tables, (2) preparing and conducting safety inspections, and (3) evaluating and improving safety management grades. The first step is to develop safety grade evaluation tables by analysis and diagnosis of the construction site's work type, disaster statistics, and related laws. The second step is to conduct safety inspections using the developed evaluation tables. The third step is to determine the safety management grade based on the results of the safety inspection, and to improve risk factors found during the safety evaluation. The proposed system was implemented in highway construction projects carried out by public institutions. The results showed that the proposed system has two major effects: (1) reducing accident-related deaths and injuries, (2) improving safety management levels by continuous evaluation and improvement. The proposed system can be utilized in construction projects ordered by public institutions to improve the level of occupational safety and health.

• Agribusiness and Information Management
• /
• v.5 no.1
• /
• pp.20-30
• /
• 2013

This paper presents a model explaining industrywide information systems (IS) integration in the agri-industry. Using a theoretical frame of value configuration analysis and IS integration extent we study 15 organizations. We find that product sensitivity, continuous production, value chain captains, and value creation logic explain the industry-wide IS integration. Incompatible value creation logic among stakeholders and the lack of presence of "value chain captains" - powerful actors dominating the entire industry - has and negative impact on industry-wide integration. On the other hand, product sensitivity and continuous production process led to higher levels of integration.

• Journal of Korea Spatial Information System Society
• /
• v.11 no.2
• /
• pp.162-169
• /
• 2009

The real-time traffic data is generated continuous and unbounded stream data type while intelligent transport system (ITS) needs to provide various and high quality services by combining with spatial information. Traditional database techniques in ITS has shortage for processing dynamic real-time stream data and static spatial data simultaneously. In this paper, we design and implement an advanced traffic monitoring system (ATMS) with the integration of existed data stream management system (DSMS) and spatial DBMS using IntraMap. Besides, the developed ATMS can deal with the stream data of DSMS, the trajectory data of relational DBMS, and the spatial data of SDBMS concurrently. The implemented ATMS supports historical and one time query, continuous query and combined query. Application programmer can develop various intelligent services such as moving trajectory tracking, k-nearest neighbor (KNN) query and dynamic intelligent navigation by using components of the ATMS.

• The Korean Journal of Pain
• /
• v.2 no.1
• /
• pp.97-99
• /
• 1989

Epidural block is used extensively in each of the fields of surgical anesthesia, obstetric anesthesia, and diagnosis and management of acute and chronic pain. New developments in the understanding of pain conduction have extended the use of continuous epidural blockade to the administration of drugs that selectively block pain conduction while leaving sensation and motor power essentially unchanged. The safety and the reliability of spinal epidural catheter techniques have permitted relief of acute and chronic pain. However, one of the important aspects of the management of the epidural catheter is the possibility of epidural infection. We have experienced a case of epidural infection during control of post-herpetic neuralgia and discuss management of the epidural catheter in this article.