• Journal of Digital Convergence
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• v.20 no.2
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• pp.127-140
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• 2022

Recently, accelerators are attracting attention as a new startup incubator. This study empirically analyzed the relative importance and priority of decision-making factors when a startup selects an accelerator using the AHP technique. As a result, startup founders recognized the importance of decision-making factors in the order of funding factors, program factors, and accelerator characteristic factors. there was a difference in the relative importance of detailed factors between startup founders and accelerator workers, depending on the location of the business site and the presence or absence of sales performance. This suggests that accelerators need to strengthen the financial support capabilities and improve customized services to meet the needs of startups. This study can be used as a decision-making criterion when a startup selects an accelerator, and can be used as basic data for additional research on the accelerator program.

• Journal of the Korean Society of Safety
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• v.37 no.6
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• pp.118-127
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• 2022

This study analyzes the characteristics of occupational accidents of food delivery via motorcycle in terms of accident probability and work-days. Depending on their employment status, food-delivery workers were divided into "employed" workers (who work for restaurants) and "special-type" workers (who work for delivery platforms). Collected data include occupational accident-information during the last two years (1,468 cases for employed workers and 4,899 cases for special-type workers) and their risk information such as age, work experience, accident location, season of the accident, and weather conditions. The study finds that special-type workers had a significantly higher accident probability for the younger age group (80.8%), while employed workers had more accidents in both 20's or younger (34.9%) and 50's or older (25.4%). The number of work-days-lost was higher for special-type workers with less work experience, and it decreased with increasing work experience. Moreover, the chance for accidents was higher at night time (55%) than for day time (45%) for special-type workers as well as for employed workers. The number of work-days-lost was higher in foreign workers (180.79 days) than in Korean workers (121.44 days). Accident probability (30.7%) and work-days-lost (136.2 days) was higher in winter than in other seasons. In addition, accidents-per-day was higher on snowy days (12.7 cases per day) than rainy (8.1) and windy days (7.1). In addition, it was found that deadly accidents mainly caused injuries to face, head, and chest, while non-deadly accidents affected mainly the legs and feet. This study enables the development of better policies to prevent accidents of food delivery workers.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.197-197
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• 2023

본 연구에서는 2018년부터 2021년까지의 국가가뭄정보통계집 자료를 바탕으로 호서 지역 내 농업가뭄 피해 사례들을 심층분석하고, 당시 지원된 농업용수 공급량에 주목하여 실제 용수 공급에 영향을 미친 잠재적 요인들의 특성을 파악하였다. 먼저, 농업가뭄 피해를 가뭄 당시 실제 공급된 농업용수량으로 정의하고, 피해 민감도라는 개념을 새롭게 도입하여 잠재적 영향 요인들과 농업용수 공급량 간의 지역별 연관성을 분석하였다. 본 연구는 농업 환경과 기상 조건 관련 인자들을 잠재적 영향 요인으로 규정하고, 연도별 도시면적당 농경지 면적 비율, 도시인구수 대비 농업종사자 비율, 전체 용수 이용량 대비 농업용수 비율, 월별 강수량, SPI(-3, -6, -9 및 -12)를 대상으로 연구를 수행하였다. 이러한 인자들의 변화에 따른 실제 공급된 농업용수량의 변화 정도를 수치화하여 지역별 피해 민감도를 산정하였다. 이를 위해, 먼저 잠재적 영향 요인과 실제 공급한 농업용수의 전월대비 증감량을 2018년부터 2021년까지 월별로 계산하였으며, 최대·최소 정규화를 통해 0부터 1 사이의 값으로 수치화하였다. 앞서 언급한 월별 증감량의 비율을 바탕으로 4년간의 절대적 수치 변화 정도를 비교·분석하였다. 그 결과, 농업 환경 관련 인자들 중 전체 용수 이용량 대비 농업용수 비율이 상대적으로 피해 민감도가 큰 것으로 나타났으며 기상 조건 관련 인자의 경우, SPI-9에 대한 피해 민감도가 가장 높은 수준임을 확인하였다. 추후, 본 연구에서 제안한 방법을 바탕으로 다양한 요인들에 대한 피해 민감도 산정 결과들이 도출된다면 농업가뭄 피해 시 농업용수 공급의 적절성 여부를 판단하는 데 있어 유용한 정보를 제공할 수 있을 것으로 사료된다.

• 한국벤처창업학회:학술대회논문집
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• 2020.11a
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• pp.47-53
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• 2020

빅데이터 기술은 기업의 경쟁력을 높일 수 있는 혁신 기술 중 하나로 급성장하고 있는 가운데 농업 분야 또한 빅데이터를 활용한 경쟁력 제고와 미래 산업으로의 발전이 중요 당면과제로 부상하고 있다. 해외의 경우 농업 빅데이터를 활용한 스타트업이 빠른 속도로 증가하며 성장하는 반면 국내의 경우 생산 분야 일부 농업 벤처 외에는 빅데이터 활용이 미흡한 실정이다. 또한 기업의 빅데이터 활용수준이나 활용의도에 영향을 미치는 요인에 대한 연구가 대기업이나 특정 산업에 국한되어 이루어지고 있으며, 연구마다 영향요인 변수의 검증결과가 상이하게 나타나 산업/기업특성에 따라 연구가 필요하다. 본 연구의 목적은 농업벤처기업에서 새로운 ICT인 빅데이터를 도입하고 사용하는 데 영향을 미치는 요인을 파악하고, 이를 통해 기대하는 편익에 대해 파악함으로써 활용을 촉진할 수 있는 방안을 제시하는 데 있다. 본 연구는 빅데이터가 조직의 프로세스를 변화시키고, 최고경영층의 지원이 필수적이며, 기업이 처한 환경적 압박에 대응할 수 있는 수단으로 보고 기술·조직·환경(TOE: Technology-Organization-Environment) 프레임워크를 기반으로 혁신확산이론(Diffusion of Innovation Theory) 모형을 결합하여 본 연구에 적합한 변수들을 도출한 후 이들 변수간의 인과관계를 설정하여 연구모형을 구성하였다. 이에 따라 TOE모형의 기술적 요인에 관한 변수로는 혁신확산이론 변수인 상대적이점, 호환성, 복잡성을 채택하였고, 조직적 요인에 관한 변수로 최고경영층 지원, 비용부담능력을, 환경적 요인에 관한 변수로는 법적·정책적 지원, 경쟁자 압력을 채택하였다. 이들 3가지 요인에 속한 7가지 변수들과 빅데이터 사용의도와 기대편익 간의 관련성, 그리고 농업벤처 사업분야의 조절효과에 대한 8개의 가설을 설정하였다. 본 연구는 실제 농업벤처기업 종사자 대상 설문을 통한 실증연구를 통해 벤처 현장에서의 빅데이터 활용수준을 높이기 위한 기술적, 조직적, 환경적 관점의 정책 개선방안을 제시하고, 생산/가공/유통 등 사업분야별 비교를 통해 영향요인의 중요도 차이를 규명해 영역별로 차별적이고 효과적인 정책 방향성을 도출하는 데 시사점을 제시하고자 한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.161-162
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• 2020

Major advanced ports around the world are preparing for environmental regulations such as increased efficiency of ports and low emission of pollutants in ports by utilizing fourth industrial technologies and ICT technologies such as AI, big data, self-driving cars and connected cars. It is also investing in developing fully unmanned terminals to solve the problem of workforce reduction caused by avoidance of 3D industries. However, the introduction of advanced technology is being delayed in domestic ports, which has led to a drop in port efficiency. In addition, port safety accidents have also occurred frequently, seriously affecting port marketing. Thus, the characteristics and types of each container terminal in Korea were analyzed and the factors for introducing autonomous cooperative driving were classified into five section factors and 15 division factors. Hierarchically classified factors will be surveyed on workers working in shipping lines, port construction, container terminals and related ministries.

• Industry Promotion Research
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• v.8 no.1
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• pp.55-68
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• 2023

The purpose of this study is to investigate the factors that influence the intention to continuously use the RPA program used in the financial industry for those working in the financial industry. In particular, the purpose of this study is to understand the will to accept and the perception of acceptance conflict by considering the characteristics of individuals in the relationship between work and information technology. As a result of the study, it can be confirmed that the RPA system based on intelligent process automation including artificial intelligence should be further strengthened in the transformation of a digitalized enterprise rather than the RPA based on simple task automation that is currently most used. In general, the phenomenon of cognitive dissonance was prominent for the adoption of new technology, but the phenomenon of cognitive dissonance did not appear for the continued use of RPA in the financial industry. Able to know. In the future in the financial industry, it is thought that the change in the labor organization will be accelerated as the suitability of repetitive tasks and technologies is increased.

• Korean Journal of Occupational Health Nursing
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• v.32 no.4
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• pp.131-140
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• 2023

Purpose: We reviewed the cases of occupational diseases that occurred in healthcare workers from 2010 to 2019 and the cases of epidemiological investigations conducted by the Occupational Safety and Health Research Institute for them. Methods: In this study, gender, age, working period, occupational characteristics, and disease characteristics by occupation, which are general characteristics of healthcare workers approved for occupational diseases. In addition, 32 cases of epidemiological investigation of healthcare workers conducted by the Institute for Occupational Safety and Health for the past 10 years (2010~2019) were analyzed. Results: The gender, age, working period, occupational characteristics, and disease characteristics by occupation of medical workers recognized as occupational diseases were all statistically significant (p<.001). In the epidemiological investigation, ionizing radiation( 50.0%) and stress (33.3%) were recognized as disease-related factors, and even in cases of disapproval, ionizing radiation (60.0%) and shift work (25.5%) were designated as related factors. And it was statistically significant (p=.008). Conclusion: The current study identified the types of diseases, various causes, and general characteristics and occupational characteristics that occur frequently in healthcare workers. Therefore, if this study is used as basic information to set the priority and direction of disease prevention project for healthcare workers, it is judged that it will be helpful in preventing industrial accidents.

• Journal of Advanced Navigation Technology
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• v.28 no.1
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• pp.51-59
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• 2024

Currently, the approved training organization (ATO) is being used worldwide to supply excellent pilots in the aviation industry. This system, which is used worldwide, has been transformed and utilized according to each country. In this study, the operation method and educational environment of specialized pilot training institutions in Korea were examined in detail, and the differences were compared by comparing the operation methods and flight education environments of international standards, the United States, Europe, Canada, and neighboring countries such as Japan, China, and Singapore to derive differences from the system of specialized educational institutions in Korea. Based on these comparative data, through a survey of workers in the relevant work, satisfaction with the number of department classes set by the domestic aviation safety law specialized educational institution designation standards differed greatly depending on the characteristics of the survey subjects, and the importance differed depending on the department's class subjects.

• Journal of the Society of Disaster Information
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• v.20 no.3
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• pp.471-483
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• 2024

Purpose: This study aimed to understand the relationship between risk-sensitive factors and safety and unsafe behavior, and to clarify the relationship between risk-sensitive factors and demographic cha- racteristics through response matching analysis. To this end, a survey was conducted on 501 construc- tion site workers and data were analyzed using the SPSS program. Method: Six factors were derived through frequency analysis, cross-analysis, exploratory factor analysis, and reliability analysis for data purification. Multiple regression analysis and response analysis were conducted. Result: Risk-sensitive sensitivity and avoidance were found to have a significant effect on safety behavior and unsafe behavior, and the relationship was found according to age and occupation. Conclusion: Taken together, it shows that safety behavior is influenced by managing individual risk sensitivity and sensitivity, and properly managing avoidance. Accordingly, it suggests that intervention is necessary to manage risk sensitivity and sensitivity to promote safety behavior and maintain a sustainable safety culture, and to prevent excessive avoidance.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.341-349
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• 2024

This study analyzed the work experience of social workers employed in social welfare facilities in Seoul. We investigated key variables, including working conditions, job characteristics, workplace violence, work-related stress, and burnout experiences. Additionally, we utilized word cloud analysis to identify the primary opinions and experiences of social workers. The results showed that social workers' salaries were generally low, and there was dissatisfaction with the promotion and compensation systems. We also found that social workers pointed out issues related to time shortages, poor physical environments, and inadequate equipment. The analysis by institution type revealed that social workers in public institutions reported high job intensity and low satisfaction with their working conditions. Based on these findings, we propose policy and practical suggestions to improve the work environment of social workers.