권호 표지

품질경영학회지 (Journal of Korean Society for Quality Management) (Journal of Korean Society for Quality Management)

한국품질경영학회 (Korean Society for Quality Management)

  • 계간
  • /
  • 1229-1889(pISSN)
  • /
  • 2287-9005(eISSN)

과학기술표준분류

  • 기계 ＞ 생산기반기술
  • 경제/경영 ＞ 분야별 경제

Aim & Scope

The Journal of Korean Society for Quality Management welcomes state-of-the-art papers from researchers and practitioners working worldwide in the field of quality management. The Journal explores the changing role of quality management. The Journal seeks to explore various aspects of quality management as closely interrelated phenomena in the context of ongoing transformation processes of organizations and societies. Thus the journals' scope is not limited to micro perspectives of management related issues. It seeks further to explore processes, principles and consequences related to quality in a broad range of organizational and scientific processes. These processes embrace managerial, economic, social, environmental and even engineering and statistical dimensions in order to better understand the past, the current situations and the future. The Journal also seeks to embrace a holistic view of quality management and explicitly promotes the emerging field of quality innovation. The Journal is an open forum and one of the main channels for communication of interdisciplinary research and practices. Publications in the Journal engage with the emphatically dynamic nature of contemporary quality management. Fully open access, the Journal is devoted to collaboration, open innovation, co-creation and knowledge-sharing across organizational and national boundaries. The Journal of Korean Society for Quality Management publishes Book Reviews, Case Studies, Empirical Articles, Review Articles, and Theoretical Articles. When evaluating original research, the editors seek well-developed studies that are on sound theoretical footing with respect to their justification. Successful submissions will display high-quality statistical and/or qualitative methodology when it comes to sample and data collection, as well as fluid writing. Papers should clearly describe the implications and significance of the work, contributions to the existing literature, potential limitations and opportunities for future research.

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제52권1호

  1. 박준성;박희준 1
    https://doi.org/10.7469/JKSQM.2024.52.1.1 PDF
    Purpose: This study seeks to explore the impact of COVID-19-induced boredom, a prevalent form of pandemic-related stress, on travel motivation and post-pandemic travel intentions. Additionally, it examines the interplay among travel motivation, travel constraints, and the willingness to pay more for travel experiences in the post-pandemic context. Methods: A PLS-SEM analysis was conducted to analyze the data. Data collection took place through an online survey in February and March 2021, with a total of 575 respondents participating. Participants provided responses regarding their current levels of boredom due to COVID-19, five different travel motivations, seven travel constraints, and their post-pandemic travel intentions. Additionally, participants were asked about their willingness to pay more for travel. Results: This study highlights the significant role of COVID-19-induced boredom in predicting post-pandemic travel intentions and the willingness to pay more for travel. Contrary to previous perceptions, boredom emerges as a driving factor, enhancing travel intentions during the pandemic. Additionally, relaxation becomes the primary motivation for travel during COVID-19, and structural constraints exert a noticeable impact on travel intentions, challenging previous assumptions. Stress levels directly influence the willingness to pay more during travel experiences, expanding the understanding of additional payment behavior in the context of travel. Conclusion: This study offers practical insights for tourism stakeholders. Recognizing and addressing boredom in marketing strategies, implementing aggressive additional payment options, and focusing on relaxation-oriented travel products are recommended to cater to post-pandemic traveler preferences and revive the tourism industry effectively.
  2. 박준성;박희준 23
    https://doi.org/10.7469/JKSQM.2024.52.1.23 PDF
    Purpose: This study aims to investigate the impact of two types of information quality, which are platform-oriented information quality and customer-oriented information quality, on customers' decision-making processes in the Online to offline (O2O) platform environment. Grounded in the product brokering efficiency model, which encompasses screening cost, evaluation cost, and decision quality, a model framework was developed. Furthermore, this study explores how these decision-making processes affect customer loyalty. Methods: Given that food delivery apps are the most widely used O2O service in Korea, this study targeted users of these apps for data analysis. We conducted hypothesis testing through a purposive sampling methodology focusing on food delivery app users. A Partial Least Squares Structural Equation Modeling analysis was conducted to analyze the data. The data collection occurred via an online survey from October to December 2021, with a total of 212 respondents participating. Results: The results of this study revealed the significant role of information quality in helping customers' decision processes while using food delivery apps. Specifically, it was found that platform-oriented information positively influences decision quality, while customer-oriented information significantly affects both the reduction of evaluation cost and the enhancement of decision quality. Additionally, the study indicated that lower evaluation costs and higher decision quality lead to increased platform loyalty. However, a reduction in screening cost did not have a significant impact on platform loyalty. Conclusion: While previous studies have overlooked the existence of two sides, service provider and user, in a platform, this research holds significance in its analysis of how information quality impacts loyalty by utilizing the two kinds of information quality. Practitioners can enhance customer loyalty to the platform by enriching customer-oriented information, thereby reducing customers' evaluation costs and encouraging more loyal usage of the platform.
  3. 정영진;강태호;박정인;조중연;홍지수;강성우 43
    https://doi.org/10.7469/JKSQM.2024.52.1.43 PDF
    Purpose: The injection molding process, crucial for plastic shaping, encounters difficulties in sustaining product quality when replacing injection machines. Variations in machine types and outputs between different production lines or factories increase the risk of quality deterioration. In response, the study aims to develop a system that optimally adjusts conditions during the replacement of injection machines linked to molds. Methods: Utilizing a dataset of 12 injection process variables and 52 corresponding sensor variables, a predictive model is crafted using Decision Tree, Random Forest, and XGBoost. Model evaluation is conducted using an 80% training data and a 20% test data split. The dependent variable, classified into five characteristics based on temperature and pressure, guides the prediction model. Bayesian optimization, integrated into the selected model, determines optimal values for process variables during the replacement of injection machines. The iterative convergence of sensor prediction values to the optimum range is visually confirmed, aligning them with the target range. Experimental results validate the proposed approach. Results: Post-experiment analysis indicates the superiority of the XGBoost model across all five characteristics, achieving a combined high performance of 0.81 and a Mean Absolute Error (MAE) of 0.77. The study introduces a method for optimizing initial conditions in the injection process during machine replacement, utilizing Bayesian optimization. This streamlined approach reduces both time and costs, thereby enhancing process efficiency. Conclusion: This research contributes practical insights to the optimization literature, offering valuable guidance for industries seeking streamlined and cost-effective methods for machine replacement in injection molding.
  4. 김은정;하정옥;박종우 57
    https://doi.org/10.7469/JKSQM.2024.52.1.57 PDF
    Purpose: The purpose of this study is to recognize the importance of a cooperative relationship in which parents of early childhood education institutions share responsibility and authority, and to suggest ways to establish efficient management strategies. Methods: The survey was conducted through online responses using Google surveys and SNS. The collected data was collected using SPSS 22.0 and Smart PLS 4.0 statistical programs. Results: Among the 13 hypotheses, only expertise in educational service quality was confirmed to have no effect on customer trust. The verification results of 11 mediation effects confirmed that customer satisfaction does not mediate the relationship between non-verbal communication and customer loyalty, and that customer trust does not mediate the relationship between expertise and verbal communication on customer loyalty. Conclusion: We presented basic data for establishing a marketing strategy that can improve the quality of services of infant and toddler education institutions and increase management performance.
  5. 김예은;송호준;신완선 77
    https://doi.org/10.7469/JKSQM.2024.52.1.77 PDF
    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.
  6. 전규리;이채현;정성미;최정일 95
    https://doi.org/10.7469/JKSQM.2024.52.1.95 PDF
    Purpose: This study focused on the societal changes associated with the entry into an ultra-aged society and the increase in single-person households. The core objective of this research is to investigate how social intelligent robots can bring about positive changes in the lives of individuals in single-person households and how such changes influence user satisfaction and the intention to use these robots. Methods: The study employed a cross-sectional analysis using a structural equation model. A survey designed to assess the impact of social intelligent robots' characteristics, such as perceived encouragement, empathy, presence, appearance, and attachment, on user satisfaction and usage intentions was conducted. Data were collected from a total of 335 users and analyzed using the structural equation model. Results: In the characteristics of social intelligent robots for single-person households, it was found that empathy, presence, and attachment significantly influenced satisfaction, while perceived encouragement, empathy, and attachment significantly influenced usage intentions. The research results indicate differences between enhancing user satisfaction and increasing the intention to use social intelligent robots. The findings suggest the essential need for a user-centric approach in the design and development of social intelligent robots. Additionally, it was observed that emotional support plays a crucial role in users' experiences with social intelligent robots. Conclusion: This study verified the impact of social intelligent robots on satisfaction and usage intentions based on users' experiences. It examined the influence of linguistic, visual, and personal characteristics of robots on user experiences, providing insights into how technological and human aspects of social intelligent robots interact to shape user satisfaction and usage intentions. Consequently, the study confirmed that social intelligent robots can bring positive changes to human life, emphasizing the necessity for the advancement of robot technology in a human-centric direction.
  7. 김재민;이원부 115
    https://doi.org/10.7469/JKSQM.2024.52.1.115 PDF
    Purpose: The purpose of research is to explore the factors influencing the intention to adopt altcoin investments, based on the Unified Theory of Acceptance and Use of Technology. Through this, it seeks to elucidate the key factors impacting altcoin investment adoption, and provide a comprehensive understanding of the crypto-currency market and investor behavior. Methods: This study analyzed factors affecting altcoin investment intentions using frequency and descriptive analyses, and verified socio-demographic differences with t-tests and ANOVA. Exploratory factor and correlation analyses were conducted for research tool validity and relationship assessment among variables. Hypotheses were tested through regression analysis, integrating control, independent, and moderating variables, along with interaction terms, to establish the model and examine moderating effects. Results: As a result, it is revealed that higher age and experience in crypto-currency investment are associated with intention to invest. Among the independent variables, performance expectancy, social influence, facilitating conditions, and personal innovativeness have positive effects to investment intention to invest, while effort expectancy had a negative effect. The moderating variable, perceived risk, also negatively affected the intention to invest. Notably, significant moderating effects of perceived risk were observed in the relationships between investment intention and both performance expectancy and personal innovativeness. Conclusion: This study provides empirical verification into consumers' intentions to invest in altcoins, offering insights into investors' behavior and decision-making processes based on a practical understanding of altcoin investment acceptance.
  8. 박현종;김성준;박범식;박소미;성시일 135
    https://doi.org/10.7469/JKSQM.2024.52.1.135 PDF
    Purpose: This study is to investigate the literature on accelerated tests based on the acceleration model and to provide a compilation of results on the parameters applied in the acceleration model and the test conditions. Methods: This research is conducts a literature review on accelerated tests using the acceleration model, with a focus on test targets, test conditions, and parameter values. The study is organizing the results of this literature review to facilitate their application in the design of reliability tests. Results: A literature review investigated a variety of test targets, test conditions, and parameter values. Conclusion: The results of the literature research conducted revealed various acceleration model parameter. Such literature research on accelerated tests can establish the foundation for reliability test design and contribute to future product development and quality improvement
  9. 곽영기;이원부 149
    https://doi.org/10.7469/JKSQM.2024.52.1.149 PDF
    Purpose: By empirically analyzing factors that affect the intention to introduce RPA, we aim to increase understanding of RPA introduction in small and medium-sized businesses and contribute to establishing an effective introduction strategy. The aim is to improve the company's productivity, reduce costs, and strengthen its competitiveness. It also provides policy recommendations for the introduction of RPA. Methods: A survey was conducted to examine whether the technical, organizational, and environmental factors of the TOE framework had an impact on the intention to adopt RPA. We also used stepwise regression analysis to determine whether firm size moderates this relationship. Results: Technical factors, organizational factors, and environmental factors were all found to have a significant impact on small and medium-sized enterprises' intention to adopt RPA. It was confirmed that company size has a moderating effect affecting the intention to adopt RPA. In particular, customer pressure, relative advantage, competitive pressure, age, government support, and the perceived ease of use of RPA was a key determinant of its adoption by small and medium-sized enterprises. Conclusion: This suggests that small and medium-sized businesses should comprehensively consider technical, organizational, and environmental factors when introducing RPA. It is expected to increase understanding of RPA introduction in small and medium-sized businesses, contribute to establishing effective introduction strategies, and contribute to improving company productivity, reducing costs, and strengthening competitiveness.
  10. 김준모;손은일 173
    https://doi.org/10.7469/JKSQM.2024.52.1.173 PDF
    Purpose: This study highlights the importance of emphasizing entrepreneurship and sustainability among managers to address the challenges of Industry 6.0, especially in situations of increasing environmental uncertainty. The research model reveals the important structural relationship between entrepreneurship, sustainability, and innovation performance, and through empirical analysis, we sought to confirm that entrepreneurship in the 6th industry is related to technological innovation. Methods: A survey was conducted targeting 6th industry entrepreneurs, and the relationship was analyzed using SPSS and AMOS. Results: Despite a non-significant direct relationship between entrepreneurship and innovation performance, a notable effect of sustainability on innovation performance was identified. This highlights the fact that entrepreneurship contributes to firm performance through innovation activities, especially in the form of technological innovation. Conclusion: This study highlights the essential characteristics of entrepreneurship and sustainability, highlights their interconnectedness and suggests that their inclusion in the same management activities improves performance.