• Journal of Practical Engineering Education
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• v.16 no.1_spc
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• pp.71-78
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• 2024

This study developed an educational program to help students athletes explore their career options. In preparation for when students in the athletic department do not succeed in sports, the need for career guidance in other fields of our society was emphasized, existing research was analyzed, requirements were identified, and a study plan was designed. Based on this, it was established a career exploration education program for records management system development in a step-by-step. Referring to previous research on career guidance in elementary, middle, and high schools, the study was conducted in the following 4 stages: analysis, development, desingn, application. In addition, students in the athletics department were able to learn more with interest by developing software related to their field. It is expected that this studyresearchwill contribute to eht divesification of research on career guidance for student athletes.

• Korean Journal of Construction Engineering and Management
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• v.25 no.3
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• pp.58-67
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• 2024

In the era of the fourth industrial revolution, data plays a vital role in enhancing the productivity of industries. To advance digitalization in the construction industry, which suffers from a lack of available data, this study proposes a model that classifies construction site photos by work types. Unlike traditional image classification models that solely rely on visual data, the model in this study includes semantic analysis of construction work types. This is achieved by extracting the significance of relationships between objects and work types from the standard construction specification. These relationships are then used to enhance the classification process by correlating them with objects detected in photos. This model improves the interpretability and reliability of classification results, offering convenience to field operators in photo categorization tasks. Additionally, the model's practical utility has been validated through integration into a classification program. As a result, this study is expected to contribute to the digitalization of the construction industry.

• Journal of the Korea Institute of Building Construction
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• v.24 no.2
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• pp.249-260
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• 2024

In recent years, the proportion of medium and small-sized apartments within the housing market has seen a noticeable increase, alongside a corresponding rise in disputes related to construction defects. Such disputes are most prevalent in the finishing works phase of construction, which not only are frequent in occurrence but also impose significant repair costs. Furthermore, there is a noticeable scarcity of research focused on the quality management of finishing work defects prior to the completion of construction. Addressing this issue necessitates a methodology capable of preemptively identifying defects by analyzing their frequency and associated costs across various defect types. Consequently, the aim of this study is to propose a risk assessment methodology by conducting an analysis of defect cases across 3,299 apartment units, considering aspects such as frequency and severity. The outcomes of this research endeavor are expected to offer practical management strategies to enhance the quality of apartment finishing works and serve as an academic foundation for the enhancement of construction management systems pertaining to apartment finishing works.

• The Journal of Economics, Marketing and Management
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• v.12 no.2
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• pp.73-81
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• 2024

Purpose: South Korea is a close ally of the US and an important partner of China. Caught between the two most powerful countries, South Korea's strategic directions are critical. This article emphasizes that the deeper core of the US-China trade war is to improve the business environment to attract foreign direct investment (FDI) to boost the economy, rather than engaging in the trade war. Research design, data, and methodology: Considering the complexity of this issue, this article applies a systematic analytical tool, the ABCD (Agility, Benchmarking, Convergence, and Dedication) model, to provide strategic guidance for inducing investments into South Korea in the context of the ongoing US-China trade war. Results: Specifically, South Korea needs to provide a more attractive business environment along the four points: expedite commercial activities through deregulation (Agility); adopt global standards of the flexible labor markets and technological developments (Benchmarking); integrate various industries and connect them to global value chains (Convergence); and create more economy-friendly policies rather than politics-oriented ones such as protectionism (Dedication). Conclusion: This study stands out not just by utilizing the ABCD model but, also by providing more systematic analysis and practical implications, particularly within the context of the escalating US-China competition. Unlike many existing studies that analyze the broader impacts of this geopolitical rivalry, this research delves into specific strategic guidelines for South Korea to attract FDI. The findings also provide implications for multinational corporations (MNCs) in choosing the locations for their overseas operations, particularly in South Korea.

• Korea Journal of Hospital Management
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• v.28 no.4
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• pp.73-89
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• 2023

Purposes: The purpose of this study was to empirically analyze the effect of the attitude of medical staff providing medical services on the treatment satisfaction of the patients who experienced outpatient care at the hospitals and clinics. In particular, it was verified whether the courtesy of the medical staff to the outpatients has moderated the effect of the medical staff's explanation on the treatment satisfaction. Methodology: After controlling the socio-demographic factors of the outpatients with their treatment and waiting time, multiple regression analyses were conducted to figure out the effect of the attitude of the medical staff on the treatment satisfaction. And the covariance analyses were adopted to verify the moderating effect of the variables of the medical staff. Findings: At both hospitals and clinics, all attitudes of medical staff such as the way they explain to and communicate with the patients, and their courtesy showed positive effects on treatment satisfaction. Among them, the courtesy of the medical staff was the most influential variable on the satisfaction of the treatment, and it only had the control power over the effect of the way they explain on the treatment satisfaction. Practical Implication: Among the medical staff's attitudes toward patients at hospital or clinic level, the courtesy of doctors and nurses is an important factor in improving treatment satisfaction. In particular, if the level of their courtesy is low among the medical services rendered at the clinics, the satisfaction level will decrease even if the level of explanation of the medical staff is high. Therefore, in terms of hospital management, treatment satisfaction can be improved when doctors and nurses provide medical services to visitors with polite, humble and friendly manner in explaining to and communicating with the patients.

• Information Systems Review
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• v.19 no.2
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• pp.37-56
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• 2017

A rapid increase was observed among individuals who want to communicate through a Social Networking Service (SNS). The increasing number of SNS users who create and share information resulted in a huge volume of SNS information. This deluge of information decreases the interest of SNS users, thereby prompting them to generate stimulating and exaggerated information to draw attention to themselves. This study aims to examine the effect of SNS users' desire for attention and share their tourism experience. This study utilizes use and gratification theory and investigates the moderating effect of gender. The analysis shows that the desire for attention influences sharing of tourism experience through compliance and identification at the level of SNS commitment. Gender difference was observed between compliance and identification. This study provides theoretical and practical implications based on the results.

• Journal of the Korean Society for information Management
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• v.41 no.2
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• pp.353-374
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• 2024

This study aimed to delve into the personal experiences of academic librarians as they perform their duties, seeking a holistic understanding of their professional experiences and the subjective experiences underlying them. To this end, the study conducted in-depth interviews with librarians, who were selected as research participants from private four-year universities, and analyzed the collected data using Giorgi's phenomenological analysis method. The findings reveal that the experiences of academic librarians can be summarized as "ambivalent perceptions of the librarian profession," "discrepancies between expectations and reality," "discriminatory personnel practices within university organizations," "growth and limitations derived from professional experiences," and "adaptation and anxiety in response to rapid environmental changes." A closer examination indicated that academic librarians continuously experience and resolve dilemmas within complex contexts. The findings of this study are expected to deepen the understanding of the profession of academic librarians and contribute to the development of practical strategies for workforce management and the improvement of working conditions.

• Korea Journal of Hospital Management
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• v.29 no.1
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• pp.1-18
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• 2024

Purposes: The Common Data Model(CDM) is very important for multi-institutional research. There are various domestic and international CDM construction cases to actively utilize it. In order to construct a CDM, different terms from each institution must be mapped to standard terms. Therefore, we intend to derive the importance and major issues of terminology mapping and propose a solution in CDM construction. Methodology/Approach: This study conducted terminology mapping between Electronic Health Record(EHR) and MOA CDM for constructing Medical Record Observation & Assessment for Drug Safety(MOA) CDM at Dankook University Hospital in 2022. In the process of terminology mapping, a CDM standard terminology process and method were developed and terminology mapping was performed by applying this. The constructions of CDM mapping terms proceeded in the order of diagnosis, drug, measurement, and treatment_procedure. Findings: We developed mapping guideline for CDM construction and used this for mapping. A total of 670,993 EHR data from Dankook University Hospital(January 1, 2013 to December 31, 2021) were mapped. In the case of diagnosis terminology, 19,413 were completely mapped. Drug terminology mapped 92.1% of 2,795. Measurement terminology mapped 94.5% of 7,254 cases. Treatment and procedure were mapped to 2,181 cases, which are the number of mapping targets. Practical Implications: This study found the importance of constructing MOA CDM for drug side effect monitoring and developed terminology mapping guideline. Our results would be useful for all future researchers who are conducting terminology mapping when constructing CDM.

• Information Systems Review
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• v.25 no.2
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• pp.125-144
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• 2023

Generative Artificial Intelligence (AI) technology is gaining global attention as it can automatically generate sentences, images, and voices that humans previously generated. In particular, ChatGPT, a representative generative AI service, shows proactivity and accuracy differentiated from existing chatbot services, and the number of users is rapidly increasing in a short period of time. Despite this growing interest in generative AI services, most preceding studies are still in their infancy. Therefore, this study utilized LDA topic modeling and keyword network diagrams to derive success factors for generative AI services and to propose successful business strategies based on them. In addition, using ChatGPT, a new research methodology that complements the existing text-mining method, was presented. This study overcomes the limitations of previous research that relied on qualitative methods and makes academic and practical contributions to the future development of generative AI services.

• Journal of Korean Society for Quality Management
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• v.51 no.4
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• pp.515-530
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• 2023

Purpose : This research aims to develop a data-driven inspection policy for radio stations utilizing the KS Q ISO 2859-1 sampling method, addressing potential regulatory relaxations and impending management challenges. Methods : Using radio station inspection big data from the past six years, we established a simulation model to evaluate the current policy. A new inspection sampling policy framework was designed based on the KS Q ISO 2859-1 method. The study compares the performance of the current and proposed inspection systems, offering insights for an improved inspection strategy. Results : This study introduced a simulation model for inspection system based on the KS Q ISO 2859-1 sampling method. Through various experimental designs, key performance indicators such as non-detection rate and sample proportion were derived, providing foundational data for the new inspection policy. Conclusion : Using big data from radio station inspections, we evaluated current inspection systems and quantitatively compared a new system across diverse scenarios. Our simulation model effectively verified the feasibility and efficiency of the proposed framework. For practical implementation, essential factors such as lot size, inspection cycle, and AQL standards need precise definition and consideration. Enhancing radio station inspections requires a policy-driven approach that factors in socio-economic impacts and solicits feedback from industry participants. Future study should also explore various perspectives related to legislative, institutional, and operational aspects of inspection organizations.