• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.216-230
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• 2023

Purpose: The purpose is to prevent accidents by predicting disasters through the analysis of near-miss. Method: In this study, a near-miss literature review and data were collected at construction sites, and a questionnaire survey was conducted to use logistic regression analysis and decision tree analysis to classify the possibility of near-miss connection. Result: As a result of analyzing the effects of near-miss types on mental, physical, and safety habits and behaviors, the factor with a high influence on the body is the need for near-miss management, the type of job is electricity·information communication, and health status in order, and the mental factor is the construction scale The influence was high, and the factors with the highest influence on the habit behavior factors were analyzed in the order of experience, number of serious injuries, and occupation in order of illusion, inappropriate work instructions, and body parts. Through decision tree analysis, factors and patterns that affect the possibility of a near-miss being a surprise accident were identified. Conclusion: Construction site officials consider the observation of near-miss and mentally and physically. Specific management of the relevance of physical aspects to near-miss should be implemented, and a work environment in which serious accidents are reduced is expected through personnel allocation, work plans, work procedures and methods, and feedback so that inappropriate work instructions do not lead to near-miss.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1249-1249
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• 2022

The facade, an exterior material of a building, is one of the crucial factors that determine its morphological identity and its functional levels, such as energy performance, earthquake and fire resistance. However, regardless of the type of exterior materials, huge property and human casualties are continuing due to frequent exterior materials dropout accidents. The quality of the building envelope depends on the detailed design and is closely related to the back frames that support the exterior material. Detailed design means the creation of a shop drawing, which is the stage of developing the basic design to a level where construction is possible by specifying the exact necessary details. However, due to chronic problems in the construction industry, such as reducing working hours and the lack of design personnel, detailed design is not being appropriately implemented. Considering these characteristics, it is necessary to develop the detailed design process of exterior materials and works based on the domain-expert knowledge of the construction industry using artificial intelligence (AI). Therefore, this study aims to establish a detailed design automation algorithm for AI-based condition-responsive exterior wall panels and their back frames. The scope of the study is limited to "detailed design" performed based on the working drawings during the exterior work process and "stone panels" among exterior materials. First, working-level data on stone works is collected to analyze the existing detailed design process. After that, design parameters are derived by analyzing factors that affect the design of the building's exterior wall and back frames, such as structure, floor height, wind load, lift limit, and transportation elements. The relational expression between the derived parameters is derived, and it is algorithmized to implement a rule-based AI design. These algorithms can be applied to detailed designs based on 3D BIM to automatically calculate quantity and unit price. The next goal is to derive the iterative elements that occur in the process and implement a robotic process automation (RPA)-based system to link the entire "Detailed design-Quality calculation-Order process." This study is significant because it expands the design automation research, which has been rather limited to basic and implemented design, to the detailed design area at the beginning of the construction execution and increases the productivity by using AI. In addition, it can help fundamentally improve the working environment of the construction industry through the development of direct and applicable technologies to practice.

• Korean Journal of Construction Engineering and Management
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• v.23 no.3
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• pp.36-44
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• 2022

This study analyzed Corporate Social Responsibility (CSR hereafter) of construction companies, especially focusing on small-medium companies. Surveys on construction companies' CSR activities and intensive interview with experts were executed to analyze and draw some implications. The empirical results shows that most of construction companies feel keenly necessity of CSR. The level of small-medium companies' awareness is lower than that of large companies'. CEO and board members of small-medium companies are less concerned about CSR yet. Carrying CSR activities co-working with NGO is preferred because of expertise and network. This study also suggests future strategy for CSR in the construction industry, focusing on small-medium companies. First of all it is necessary for small-medium companies to enhance the level of awareness and encourage participation in CSR. Second, it is required to strengthen relation with NGO and share information for CSR. Third, it is really significant to strengthen budget support and secure personnel to activate CSR. The systematic support by gevernment is also important. Lastly, it is essential to mount a publicity campaign and develop various CSR program. The role of 'Construction Industry Foundation for Social Responsibility' is emphasized because small-medium companies have very little room for CSR.

• Journal of Navigation and Port Research
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• v.47 no.3
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• pp.155-166
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• 2023

Trend analysis and time series analysis were conducted to predict the demand of manpower under the smartization of shipping and port logistics with transportation survey data of Statistic Korea during the period from 2000 to 2020 and Statistical Yearbook data of Korean Seafarers from 2004 to 2021. A linear regression model was adopted since the validity of the model was evaluated as the highest in forecasting manpower demand in the shipping and port logistics industry. As a result of forecasting the demand of manpower in autonomous ship, remote ship management, smart shipping business, smart port, smart warehouse, and port logistics service from 2021 to 2035, the demand for smart shipping and port logistics personnel was predicted to increase to 8,953 in 2023, 20,688 in 2030, and 26,557 in 2035. This study aimed to increase the predictability of manpower demand through objective estimation analysis, which has been rarely conducted in the smart shipping and port logistics industry. Finally, the result of this research may help establish future strategies for human resource development for professionals in smart shipping and port logistics by utilizing the demand forecasting model described in this paper.

• Journal of Family Resource Management and Policy Review
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• v.28 no.1
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• pp.27-38
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• 2024

Given the concern about the reduction in birth rate in Korea today, the objective of this study was to examine the association between Work·Family Compatibility policy and parenting stress, focusing on sex and occupational groups. Data from the 13th year Panel Study on Korean Children were analyzed by descriptive statistics, a one-way analysis of variance, and Duncan's post hoc test. The results of this study were as follows: First, the most commonly used aspect of the Work·Family Compatibility policy among both males and females was flextime, irrespective of occupational types. Also, flextime was the most used policy among professional workers. Second, regarding the use of related systems and parenting stress, it was found that all respondents perceived above average parenting stress. Specifically, the parenting stress scores of male users of flextime were higher than those of family care leave users. The parenting stress of military personnel were the lowest among males' occupational groups. Among females, the parenting stress scores of maternity leave users were higher than those of shorter workweek user. Diverse discussions and implications were suggested about promoting the usage of Work·Family Compatibility policy.

• Korea Journal of Hospital Management
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• v.29 no.2
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• pp.57-79
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• 2024

Purpose: The present study identified the determinants in the development of intrapreneurial intention in small and medium-sized local hospitals. A careful literature review led to the development of a conceptual model which identified two types of employee competence-individual competence and managerial competence-to influence intrapreneurial orientation positively. It was hypothesized that intrapreneurial orientation predicts intrapreneurial intention and is mediated by intrapreneurial commitment. Methodology/Approach: The target population was chosen from two medical institutions of 'D' Hospital and 'E' Geriatric Hospital in Changwon City, South Korea. Samples were collected from 299 respondents who completed a structured questionnaire. Findings: The results from a structural equation modeling statistical analysis indicated that (1) individual competence and managerial competence positively and significantly predict intrapreneurial orientation, (2) intrapreneurial orientation positively and significantly influences intrapreneurial intention, (3) intrapreneurial commitment partially mediates the relation of intrapreneurial orientation to intrapreneurial intention, and (4) the mediation effect of intrapreneurial commitment was significant in the medical-personnel group, but not in the non-medical group. Practical Implications: Overall findings from the present work provide vital insights into understanding the preconditions for developing employee intrapreneurship in small and medium-sized local hospitals.

• Journal of the Korean Applied Science and Technology
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• v.41 no.3
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• pp.721-732
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• 2024

This study is a descriptive research to determine the mediating effect of Positive Psychological Capital on the relationship between Job Stress and Retention Intention among nurses working at blood centers in the metropolitan area. Data were collected from 167 nurses using a structured questionnaire between May 2021 and April 2022, and analyzed by SPSS ver.25. General characteristics were analyzed through frequency, percentage, mean, and standard deviation. The relationship between Job Stress and Retention Intention was analyzed using independent samples t-test, ANOVA, and Pearson's correlation. Hypotheses were tested using hierarchical multiple regression analysis and PROCESS macro model 4. The results substantiated the hypotheses: Hypothesis 1 proposed that higher Retention Intention and Positive Psychological Capital were associated with lower Job Stress. Hypothesis 2 suggested that Positive Psychological Capital significantly partially mediates the relationship between Retention Intention and Job Stress. To promote Retention Intention among blood center nurses, it is crucial to implement human resource management systems aimed at alleviating Job Stress and enhancing Positive Psychological Capital. Specifically, enhancing Positive Psychological Capital within blood centers is particularly significant. This study contributes empirical evidence necessary for efficient personnel management and competency enhancement programs to reduce Job Stress, thereby enhancing the quality of nursing care among blood center nurses. Furthermore, it is recommended to develop intervention programs for Positive Psychological Capital to enhance Retention Intention and reduce Job Stress among blood center nurses.

• Information Systems Review
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• v.26 no.2
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• pp.155-167
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• 2024

This study recognized the importance of joint research in the field of artificial intelligence and analyzed the characteristics of the industry-academic-research technological cooperation ecosystem focusing on patents from the perspective of the Techno-Economic Segment (TES). To this end, economic entities such as companies, universities, and research institutes within the ecosystem were identified for 7,062 joint research projects out of 113,289 artificial intelligence patents over the past 10 years filed in IP5 countries since 2012. Next, this study identified the topics of technological cooperation and the characteristics of cooperation. As a result of the analysis, technological cooperation is increasing, and the frequency of all types of cooperation was high in industry-to-industry (40%) and industry-to-university (25.2%) relationships. Here, this study confirmed that the role of universities is being strengthened, with an increase in the ratio of companies with strengths in funding and analytical data, industry and universities with excellent research personnel (9.8%), and cooperation between universities (1.9%). In addition, as a result of identifying collaborative patent research areas of interest and collaborative relationships through topic modeling and network analysis, overall similar research interests were derived regardless of the type of cooperation, and applications such as autonomous driving, edge computing, cloud, marketing, and consumer behavior analysis were derived. It was confirmed that the scope of research was expanding, collaborating entities were becoming more diverse, and a large-scale network including Chinese-centered universities was emerging.

• Information Systems Review
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• v.26 no.1
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• pp.19-56
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• 2024

This study is empirical research to enhance understanding of AI (artificial intelligence) training data project in South Korea. It primarily focuses on the various concerns regarding data quality from policy-executing institutions, data construction companies, and organizations utilizing AI training data to develop the most reliable algorithm for society. For academic contribution, this study suggests a theoretical foundation and research model for understanding AI training data quality and its antecedents, as well as the unique data and ethical aspects of AI. For this purpose, this study proposes a research model with important antecedents related to AI training data quality, such as data attribute factors, data building environmental factors, and data type-related factors. The study collects 393 sample data from actual practitioners and personnel from companies building artificial intelligence training data and companies developing artificial intelligence services. Data analysis was conducted through Fuzzy Set Qualitative Comparative Analysis (fsQCA) and Artificial Neural Network analysis (ANN), presenting academic and practical implications related to the quality of AI training data.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.4
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• pp.29-40
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• 2024

This study analyzed the impact of venture companies' innovation capabilities on business performance by growth stage. Innovation capability, which is an independent variable, is composed of entrepreneur characteristics, technology development capabilities, marketing capabilities, and external cooperation. And the dependent variables were set as sales and long-term growth prospects. This study utilized data from the '2022 Precise Survey on Venture Companies'and conducted descriptive statistics analysis, correlation analysis, and multiple regression analysis as research methodology. As a result of the analysis, the negative influence of the educational background of entrepreneurs' characteristics was found to decrease as the growth stage increased, and the long-term growth prospects of entrepreneurs with abundant industrial practical experience were perceived positively. Research and development personnel was a negative factor during the start-up period, but as the growth stage increased and technology accumulation occurred, it changed into a positive factor. Marketing competency level was found to be an important factor in all growth stages. For external collaboration activities, all hypotheses regarding sales were rejected, but hypotheses regarding the start-up and growth periods regarding long-term growth prospects were accepted. it is interpreted that external collaboration activities are necessary to overcome the limitations of internal resources.