• Journal of Korean Society for Quality Management
• /
• v.33 no.2
• /
• pp.74-86
• /
• 2005

The project objectives, called critical-to-quality (CTQs) in six sigma, should be defined to faithfully reflect the customer requirements. The identification of such a set of CTQs, which is currently done using brainstorming in practice, is a challenging task. Notwithstanding the rapid growth of the six sigma literature, development of a systematic procedure for identifying CTQs has scarcely been addressed. This paper proposes a systematic method for generating CTQ candidates based on the given voice of the customer in the DFSS/C (Design for Six Sigma / Commercial) context. By providing a step-by-step procedure, the proposed method ensures that all the important CTQ candidates are identified and subjective judgments are minimally required. Hence, the shortcomings associated with the existing practice based on brainstorming can be effectively overcome. The unique characteristics of the proposed method are also demonstrated via a case study.

• Child Health Nursing Research
• /
• v.28 no.1
• /
• pp.41-50
• /
• 2022

Purpose: This systematic review aimed to investigate the effectiveness of home visiting programs targeting parents who have maltreated their children on the prevention of child maltreatment recurrence. Methods: Major databases were searched (Ovid-Medline, PubMed, Cochrane Library, CINAHL, and RISS). The frequency of maltreatment was measured for the meta-analysis, which was conducted using Review Manager 5.2 software. The effect size was measured using odds ratios (ORs). Results: Six studies were included in the analysis, none of which were conducted in South Korea. The meta-analysis demonstrated that the risk of child maltreatment recurrence significantly decreased after a home visiting program was implemented (OR=0.45, 95% confidence interval [CI]=0.29-0.68). Nurses were the most common intervention providers. Conclusion: Home visiting programs should be provided for families in which maltreatment has already occurred to prevent the recurrence of maltreatment and foster a home environment in which children can live safely. Since the rate of child maltreatment in Korea is increasing, further research is needed to develop and implement home visiting programs in which nurses play a major role in preventing the recurrence of child maltreatment.

• Journal of People, Plants, and Environment
• /
• v.23 no.2
• /
• pp.125-138
• /
• 2020

The aim of this study was to review previous literature to determine the effects of nature-based program for workers. This systematic review was conducted in accordance with National Evidence-based Healthcare Collaborating Agency's guidance for undertaking systematic reviews for intervention. Literature search was performed using National Assembly Digital Library, Korean Studies Information Service System, and Korea Education & Research Information Service for literature published until March 2019. The participants were full-time workers, and intervention of nature-based programs was conducted in the outdoor, indoor, and indirect nature contact exposures, with comparators in the control group who did not receive the treatment. The results showed that the programs were effective in physical, psychological, and social health. The methodological quality of randomized controlled trials (RCT) was assessed using the Cochrane Risk of Bias(RoB) tool, while non-randomized controlled trials (N-RCT) were assessed using the Cochrane Risk of bias assessment tool for non-randomized studuies (RoBANS). A total of 16 studies were selected for assessment: two RCTs, 10 N-RCTs, and four one-group pretest-posttest designs. Most interventions were provided at the workplace and in the community. There were many kinds of nature-based interventions, and forest therapy and horticultural therapy programs were most common. Various interventions for workers effectively improved job stress, depression, serum cortisol and stress-response. However, the included studies lacked methodological rigor. Future research is needed to evaluate the long-term effectiveness of nature-based programs for workers using rigorous research designs.

• Educational Technology International
• /
• v.19 no.2
• /
• pp.199-228
• /
• 2018

The main purposes of this study were (a) to analyze the research trend of educational use of tangible technology, (b) to identify tangible learning mechanisms, and potential benefits of learning with tangible technology, and (c) to provide references and future research directions. We conducted a systematic literature review to search for academic papers published in recent five years (from 2013 to 2017) in the major databases. Forty papers were coded and analyzed by the established coding framework in four dimensions: (a) basic publication information, (b) learning context, (c) learning mechanism, and (d) learning benefits. Overall, the results show that tangible technology has been used more for young learners in the kindergarten and primary school contexts mainly for science learning, to achieve both cognitive and affective learning outcomes, by coupling tangible objects with tabletops and desktop computers. From the synthesis of the review findings, this study suggests that the affordances of tangible technology useful for learning include embodied interaction, physical manipulations, and the physical-digital representational mapping. With such technical affordances, tangible technologies have the great potential in three particular areas in education: (a) learning spatial relationships, (b) making the invisible visible, and (c) reinforcing abstract concepts through the correspondence of representations. In conclusion, we suggest some areas for future research endeavors.

• Journal of Information Science Theory and Practice
• /
• v.11 no.1
• /
• pp.31-48
• /
• 2023

Digital service transformation study is a part of research in the field of digital transformation, which is devoted to exploring the transformations that occur in digital service products, which have been intensely explored in recent years to address digital disruption. Several concepts and definitions of digital service transformation have emerged as a result of an approach from the point of view of digital transformation and digital services concepts. This paper is organized to provide a foundational understanding of digital service transformation terminology. This paper uses the systematic literature review method to compile 52 qualified articles from previous studies. We conduct an analysis and synthesis of articles to answer research questions. The results of this study are a descriptive summary of research in the digital service transformation field, determining digital service transformation terminology and components, and also a proposed digital service transformation model to explain the position of transformation in digital service products in the overall transformation process. We construct this model using the findings of previously determined components synthesis.

• Korean Journal of Exercise Nutrition
• /
• v.23 no.1
• /
• pp.36-47
• /
• 2019

[Purpose] We conducted a meta-analysis to evaluate the effects of Taekwondo training on the physical fitness factors in Korean elementary students comprehensively and quantitatively. [Methods] We classified research studies published until November 2018 according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and selected a total of 17 research items; a meta-analysis of these items was then conducted. We used the Comprehensive Meta-Analysis 3.0 and Review Manager 5.3 to analyze the mean effect size, study quality, and publication bias. [Results] Taekwondo training improved the cardiopulmonary endurance, muscle endurance, and power of the elementary students, but was not practical or less useful on other physical fitness factors. The meta-regression analysis of the cardiopulmonary endurance and power items showed that the effect size was large when the sample size was small. Therefore, it is necessary to consider the sample size in interpreting the effect size for these two items. Further, during correction of the publication bias for the power items, the improvement effect by Taekwondo training was eliminated. [Conclusion] Taekwondo training is helpful for improving the cardiopulmonary endurance and muscle endurance of Korean elementary students but is not useful for other physical fitness factors.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.10 no.4
• /
• pp.153-167
• /
• 2007

Dokdo research has been worked in various fields. However, the continuous accumulation and systematic management of Dokdo research data on marine science haven't been made. In particular, a systematic database system hasn't been established for the research data on marine environment and ecosystem in Dokdo and its surrounding sea. Therefore, GIS database construction on a spatial basis is required for the systematic management and efficient use of Dokdo marine research data, and a marine data model on a GIS basis is needed on the design stage to build the database. In this study, we collected previous observed marine data, and classified them as three groups, such as a framework data group on a GIS basis, a research data group and a thematic data group, according to the data types and characteristics. Moreover, the attributes of each research data were designed to be connected to GIS framework data. The result of the study to build an integrated GIS data model may be useful for developing a management system for marine research data observed in other sea as well as Dokdo.

• Journal of Preventive Medicine and Public Health
• /
• v.56 no.2
• /
• pp.128-144
• /
• 2023

Objectives: The health system reform process is highly political and controversial, and in most cases, it fails to realize its intended goals. This study was conducted to synthesize factors underlying the failure of health system reforms. Methods: In this systematic review and meta-synthesis, we searched 9 international and regional databases to identify qualitative and mixed-methods studies published up to December 2019. Using thematic synthesis, we analyzed the data. We utilized the Standards for Reporting Qualitative Research checklist for quality assessment. Results: After application of the inclusion and exclusion criteria, 40 of 1837 articles were included in the content analysis. The identified factors were organized into 7 main themes and 32 sub-themes. The main themes included: (1) reforms initiators' attitudes and knowledge; (2) weakness of political support; (3) lack of interest group support; (4) insufficient comprehensiveness of the reform; (5) problems related to the implementation of the reform; (6) harmful consequences of reform implementation; and (7) the political, economic, cultural, and social conditions of the society in which the reform takes place. Conclusions: Health system reform is a deep and extensive process, and shortcomings and weaknesses in each step have overcome health reform attempts in many countries. Awareness of these failure factors and appropriate responses to these issues can help policymakers properly plan and implement future reform programs and achieve the ultimate goals of reform: to improve the quantity and quality of health services and the health of society.

• Journal of Korean Society for Quality Management
• /
• v.52 no.1
• /
• pp.77-93
• /
• 2024

Purpose: The purpose of this study is to examine machine learning use cases in manufacturing companies from a digital quality management (DQM) perspective and to analyze and present machine learning research patterns from a quality management perspective. Methods: This study was conducted based on systematic literature review methodology. A comprehensive and systematic review was conducted on manufacturing papers covering the overall quality management process from 2015 to 2022. A total of 3 research questions were established according to the goal of the study, and a total of 5 literature selection criteria were set, based on which approximately 110 research papers were selected. Based on the selected papers, machine learning research patterns according to quality management were analyzed. Results: The results of this study are as follows. Among quality management activities, it can be seen that research on the use of machine learning technology is being most actively conducted in relation to quality defect analysis. It suggests that research on the use of NN-based algorithms is taking place most actively compared to other machine learning methods across quality management activities. Lastly, this study suggests that the unique characteristics of each machine learning algorithm should be considered for efficient and effective quality management in the manufacturing industry. Conclusion: This study is significant in that it presents machine learning research trends from an industrial perspective from a digital quality management perspective and lays the foundation for presenting optimal machine learning algorithms in future quality management activities.

• ETRI Journal
• /
• v.25 no.2
• /
• pp.121-132
• /
• 2003

To enhance the productivity of software development and accelerate time to market, software developers have recently paid more attention to a component-based development (CBD) approach due to the benefits of component reuse. Among CBD processes, the identification of reusable components is a key but difficult process. Currently, component identification depends mainly on the intuition and experience of domain experts. In addition, there are few systematic methods or tools for component identification that enable domain experts to identify reusable components. This paper presents a systematic method and its tool called a component identifier that identifies software components by using object-oriented domain information, namely, use case models, domain object models, and sequence diagrams. To illustrate our method, we use the component identifier to identify candidates of reusable components from the object-oriented domain models of a banking system. The component identifier enables domain experts to easily identify reusable components by assisting and automating identification processes in an earlier development phase.