• Title/Summary/Keyword: COST MODEL

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The Impact of Work Stress and Job Satisfaction on Turnover Intention: A Study of Long-term Care Workers (노인장기요양 인력의 직무 스트레스와 직무 만족이 이직 의도에 미치는 영향)

  • Lee, Choo-Jae
    • 한국노년학
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    • v.31 no.2
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    • pp.277-290
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    • 2011
  • The present study examined the impact of work stress and job satisfaction on intention to leave among staff including social workers, nurses, and care workers. The study subject included 235 staff in a welfare organization that provides long-term care services. Data was analyzed using multiple linear regression. The findings of the study show that work stress and job satisfaction affect intention to leave in the context of welfare organizations. Demographic variables were not the main focus of this study and thus these results are incidental. Staff with higher levels of work stress were more likely to think about leaving, while those with grater job satisfaction were less likely. There were several limitations in this study. Generalizability of the findings are limited to staff working in the province of Jeonnam. The results have important implications for the development of strategies to minimize turnover intention in long-term care. Reducing the intent to leave is desirable for issues of both cost reduction and quality of care. Managers could perhaps start to consider decreasing work overload assigned to staff. This study also provides some insight into the work status of new staff. Clearly this finding needs to be explored in further research studies. A more comprehensive model is likely required to adequately explain intention to leave the job.

Do good return policies work across cultures? Effect of lenient return policies on online shopper perceptions in Eastern culture

  • Yang, SuJin;Choi, Yun Jung
    • Asia Marketing Journal
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    • v.15 no.2
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    • pp.75-97
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    • 2013
  • While good return policies are suggested as one of the critical services for e-commerce, ambivalence between the burden of the cost and shoppers' satisfaction may prevent e-tailers from increasing their level of leniency. Based on the S-O-R model, this study has attempted to develop a grounded theory to explain how lenient return policies shape online shoppers' perceptions and responses, with a focus on cultural influences in the relationship. In order to check the cultural effects of the lenient return policy, thirty two female and eleven male undergraduate students in South Korean shoppers, who are accustomed to strict return policies, participated in the semi-structured interview. A series of open-ended questions were designed to explore consumers' reactions toward four different levels of the lenient return policy: from the strict type in South Korea to the lenient type in the U.S. Using qualitative research methods, this research has defined three types of dimensions of lenient return policy: return possible period, complexity of progress, and other restrictions. While previous researchers did not pay much attention, the last dimension, other restrictions, is shown to be the most significant in influencing online shoppers' perceptions, especially in South Korea. Also, the impacts on online shoppers' perceptions from the three types of sub-dimensions of return policy were somewhat different. Whereas a longer return possible period was considered more favorable, a medium level of complexity and restrictions were considered more desirable. In summary, this result showed that shoppers in Eastern cultures, i.e. South Korean online shoppers, seem favorable to a medium level of lenient return policies, while allowing for taking precautions against possible fraudulent behaviors and setting other restrictions. Therefore, most of retailers in South Korea recommended that e-tailers who adopt the most lenient return policies raise the bar to guard ethical shoppers from fraudulent users. Next, lenient return policies can enhance ease of use, usefulness, affect, and trust while relieving perceived risk, which is connected to intention to purchase, satisfaction, and loyalty. Interestingly, lenient return policies are more likely to change the behavioral responses of online shoppers, such as return and purchase, rather than change their attitudes or beliefs such as image, satisfaction, and loyalty. This tendency can be seen more clearly in the direct influences of return policy on responses. The reaction to lenient return policy is mostly the intention to return or to purchase. This suggests that return policy serves the e-tailers as a powerful tool in increasing online shoppers' purchase intention at the moment of purchase. Therefore, e-tailers who plan to expand their market to eastern countries, including South Korea, have to build a shield of restrictions around their lenient return policy, rather than immediately applying their original liberalized return policy. Also, e-tailers in South Korea need to review their strict and undifferentiated return policies to deal with the unsatisfied reactions of online shoppers toward their normal return policies. Although the present study was confined to the return policies currently being practiced by popular e-tailers, it would be worthwhile to develop effective return policies separately for each country, especially South Korea, keeping the culture of the relevant country in mind.

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The Effect of Perceived Customer Value on Customer Satisfaction with Airline Services Using the BERTopic Model (BERTopic 모델을 이용한 항공사 서비스에서 지각된 고객가치가 고객 만족도에 미치는 영향 분석)

  • Euiju Jeong;Byunghyun Lee;Qinglong Li;Jaekyeong Kim
    • Knowledge Management Research
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    • v.24 no.3
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    • pp.95-125
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    • 2023
  • As the aviation industry has rapidly been grown, there are more factors for customers to consider when choosing an airline. In response, airlines are trying to increase customer value by providing high-quality services and differentiated experiential value. While early customer value research centered on utilitarian value, which is the trade-off between cost and benefit in terms of utility for products and services, the importance of experiential value has recently been emphasized. However, experiential value needs to be studied in a specific context that fully represents customer preferences because what constitutes customer value changes depending on the product or service context. In addition, customer value has an important influence on customers' decision-making, so it is necessary for airlines to accurately understand what constitutes customer value. In this study, we collected customer reviews and ratings from Skytrax, a website specializing in airlines, and utilized the BERTopic technique to derive factors of customer value. The results revealed nine factors that constitute customer value in airlines, and six of them are related to customer satisfaction. This study proposes a new methodology that enables a granular understanding of customer value and provides airlines with specific directions for improving service quality.

Mean Teacher Learning Structure Optimization for Semantic Segmentation of Crack Detection (균열 탐지의 의미론적 분할을 위한 Mean Teacher 학습 구조 최적화 )

  • Seungbo Shim
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.27 no.5
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    • pp.113-119
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    • 2023
  • Most infrastructure structures were completed during periods of economic growth. The number of infrastructure structures reaching their lifespan is increasing, and the proportion of old structures is gradually increasing. The functions and performance of these structures at the time of design may deteriorate and may even lead to safety accidents. To prevent this repercussion, accurate inspection and appropriate repair are requisite. To this end, demand is increasing for computer vision and deep learning technology to accurately detect even minute cracks. However, deep learning algorithms require a large number of training data. In particular, label images indicating the location of cracks in the image are required. To secure a large number of those label images, a lot of labor and time are consumed. To reduce these costs as well as increase detection accuracy, this study proposed a learning structure based on mean teacher method. This learning structure was trained on a dataset of 900 labeled image dataset and 3000 unlabeled image dataset. The crack detection network model was evaluated on over 300 labeled image dataset, and the detection accuracy recorded a mean intersection over union of 89.23% and an F1 score of 89.12%. Through this experiment, it was confirmed that detection performance was improved compared to supervised learning. It is expected that this proposed method will be used in the future to reduce the cost required to secure label images.

Survey of coastal topography using images from a single UAV (단일 UAV를 이용한 해안 지형 측량)

  • Noh, Hyoseob;Kim, Byunguk;Lee, Minjae;Park, Yong Sung;Bang, Ki Young;Yoo, Hojun
    • Journal of Korea Water Resources Association
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    • v.56 no.spc1
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    • pp.1027-1036
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    • 2023
  • Coastal topographic information is crucial in coastal management, but point measurment based approeaches, which are labor intensive, are generally applied to land and underwater, separately. This study introduces an efficient method enabling land and undetwater surveys using an unmanned aerial vehicle (UAV). This method involves applying two different algorithms to measure the topography on land and water depth, respectively, using UAV imagery and merge them to reconstruct whole coastal digital elevation model. Acquisition of the landside terrain is achieved using the Structure-from-Motion Multi-View Stereo technique with spatial scan imagery. Independently, underwater bathymetry is retrieved by employing a depth inversion technique with a drone-acquired wave field video. After merging the two digital elevation models into a local coordinate, interpolation is performed for areas where terrain measurement is not feasible, ultimately obtaining a continuous nearshore terrain. We applied the proposed survey technique to Jangsa Beach, South Korea, and verified that detailed terrain characteristics, such as berm, can be measured. The proposed UAV-based survey method has significant efficiency in terms of time, cost, and safety compared to existing methods.

Comparison of Integrated Health and Welfare Service Provision Projects Centered on Medical Institutions (의료기관 중심 보건의료·복지 통합 서비스 제공 사업 비교)

  • Su-Jin Lee;Jong-Yeon Kim
    • Journal of agricultural medicine and community health
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    • v.49 no.2
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    • pp.132-145
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    • 2024
  • Objectives: This study compares cases of Dalgubeol Health Care Project, 301 Network Project, and 3 for 1 Project based on program logic models to derive measures for promoting integrated healthcare and welfare services centered around medical institutions. Methods: From January to December 2021, information on the implementation systems and performance of each institution was collected. Data sources included prior academic research, project reports, operational guidelines, official press releases, media articles, and written surveys from project managers. A program logic model analysis framework was applied, structuring the information based on four elements: situation, input, activity, and output. Results: All three projects aimed to address the fragmentation of health and welfare services and medical blind spots. Despite similar multidisciplinary team compositions, differences existed in specific fields, recruitment scale, and employment types. Variations in funding sources led to differences in community collaboration, support methods, and future directions. There were discrepancies in the number of beneficiaries and medical treatments, with different results observed when comparing the actual number of people to input manpower and project cost per beneficiary. Conclusions: To design an integrated health and welfare service provision system centered on medical institutions, securing a stable funding mechanism and establishing an appropriate target population and service delivery system are crucial. Additionally, installing a dedicated department within the medical institution to link activities across various sectors, rather than outsourcing, is necessary. Ensuring appropriate recruitment and stable employment systems is needed. A comprehensive provision system offering services from mild to severe cases through public-private cooperation is suggested.

Effectiveness of a Clinical Pathway for Breast Cancer Patients Undergoing Surgical Operation on Clinical Outcomes and Costs

  • Jeong Hyun Park;Danbee Kang;Seok Jin Nam;Jeong Eon Lee;Seok Won Kim;Jonghan Yu;Byung Joo Chae;Se Kyung Lee;Jai Min Ryu;Yeon Hee Park;Mangyeong Lee;Juhee Cho
    • Quality Improvement in Health Care
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    • v.30 no.1
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    • pp.120-131
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    • 2024
  • Purpose: This study aimed to evaluate the impact of implementing a clinical pathways (CPs) on the clinical outcomes and costs of patients undergoing breast cancer surgery. Methods: This retrospective cohort study included patients who were newly diagnosed with primary breast cancer at the Samsung Medical Center between 2014 and 2019 (N=8482; 2931 patients in the pre-path and 5551 patients in the post-path). Clinical outcomes included reoperation during hospitalization, readmission, and emergency room visits within 30 days of discharge. The cost data for each unit were obtained from an activity-based management accounting system. We performed an interrupted time series analysis. Results: The post-path period showed a significantly shorter hospital length of stay (LOS) than the pre-path period (6.3 days in pre-path vs. 5.0 days in post-path; -1.3 days' difference; p=.001), and fewer reoperations during hospitalization and within 30 days after discharge than the pre-path period. After adjusting for inflation rates and relative value scores, the model demonstrated savings of $146 per patient in the post-path for total costs, and $537 per patient for patient out-of-pocket costs (p=.001). Conclusion: CPs can help reduce costs without compromising the quality of care by reducing the number of reoperations, readmissions, and complications.

Performance of Passive UHF RFID System in Impulsive Noise Channel Based on Statistical Modeling (통계적 모델링 기반의 임펄스 잡음 채널에서 수동형 UHF RFID 시스템의 성능)

  • Jae-sung Roh
    • Journal of Advanced Navigation Technology
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    • v.27 no.6
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    • pp.835-840
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    • 2023
  • RFID(Radio Frequency Identification) systems are attracting attention as a key component of Internet of Things technology due to the cost and energy efficiency of application services. In order to use RFID technology in the IoT application service field, it is necessary to be able to store and manage various information for a long period of time as well as simple recognition between the reader and tag of the RFID system. And in order to read and write information to tags, a performance improvement technology that is strong and reliable in poor wireless channels is needed. In particular, in the UHF(Ultra High Frequency) RFID system, since multiple tags communicate passively in a crowded environment, it is essential to improve the recognition rate and transmission speed of individual tags. In this paper, Middleton's Class A impulsive noise model was selected to analyze the performance of the RFID system in an impulsive noise environment, and FM0 encoding and Miller encoding were applied to the tag to analyze the error rate performance of the RFID system. As a result of analyzing the performance of the RFID system in Middleton's Class A impulsive noise channel, it was found that the larger the Gaussian noise to impulsive noise power ratio and the impulsive noise index, the more similar the characteristics to the Gaussian noise channel.

Quality Reporting of Radiomics Analysis in Mild Cognitive Impairment and Alzheimer's Disease: A Roadmap for Moving Forward

  • So Yeon Won;Yae Won Park;Mina Park;Sung Soo Ahn;Jinna Kim;Seung-Koo Lee
    • Korean Journal of Radiology
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    • v.21 no.12
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    • pp.1345-1354
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    • 2020
  • Objective: To evaluate radiomics analysis in studies on mild cognitive impairment (MCI) and Alzheimer's disease (AD) using a radiomics quality score (RQS) system to establish a roadmap for further improvement in clinical use. Materials and Methods: PubMed MEDLINE and EMBASE were searched using the terms 'cognitive impairment' or 'Alzheimer' or 'dementia' and 'radiomic' or 'texture' or 'radiogenomic' for articles published until March 2020. From 258 articles, 26 relevant original research articles were selected. Two neuroradiologists assessed the quality of the methodology according to the RQS. Adherence rates for the following six key domains were evaluated: image protocol and reproducibility, feature reduction and validation, biologic/clinical utility, performance index, high level of evidence, and open science. Results: The hippocampus was the most frequently analyzed (46.2%) anatomical structure. Of the 26 studies, 16 (61.5%) used an open source database (14 from Alzheimer's Disease Neuroimaging Initiative and 2 from Open Access Series of Imaging Studies). The mean RQS was 3.6 out of 36 (9.9%), and the basic adherence rate was 27.6%. Only one study (3.8%) performed external validation. The adherence rate was relatively high for reporting the imaging protocol (96.2%), multiple segmentation (76.9%), discrimination statistics (69.2%), and open science and data (65.4%) but low for conducting test-retest analysis (7.7%) and biologic correlation (3.8%). None of the studies stated potential clinical utility, conducted a phantom study, performed cut-off analysis or calibration statistics, was a prospective study, or conducted cost-effectiveness analysis, resulting in a low level of evidence. Conclusion: The quality of radiomics reporting in MCI and AD studies is suboptimal. Validation is necessary using external dataset, and improvements need to be made to feature reproducibility, feature selection, clinical utility, model performance index, and pursuits of a higher level of evidence.

A Study on the Development of integrated Process Safety Management System based on Artificial Intelligence (AI) (인공지능(AI) 기반 통합 공정안전관리 시스템 개발에 관한 연구)

  • KyungHyun Lee;RackJune Baek;WooSu Kim;HeeJeong Choi
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.403-409
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    • 2024
  • In this paper, the guidelines for the design of an Artificial Intelligence(AI) based Integrated Process Safety Management(PSM) system to enhance workplace safety using data from process safety reports submitted by hazardous and risky facility operators in accordance with the Occupational Safety and Health Act is proposed. The system composed of the proposed guidelines is to be implemented separately by individual facility operators and specialized process safety management agencies for single or multiple workplaces. It is structured with key components and stages, including data collection and preprocessing, expansion and segmentation, labeling, and the construction of training datasets. It enables the collection of process operation data and change approval data from various processes, allowing potential fault prediction and maintenance planning through the analysis of all data generated in workplace operations, thereby supporting decision-making during process operation. Moreover, it offers utility and effectiveness in time and cost savings, detection and prediction of various risk factors, including human errors, and continuous model improvement through the use of accurate and reliable training data and specialized datasets. Through this approach, it becomes possible to enhance workplace safety and prevent accidents.