• Journal of the Korean Society of Safety
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• v.38 no.4
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• pp.32-38
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• 2023

Job stress factors are factors that induce biological, psychological, and behavioral responses in individuals when they encounter mental and physical stimuli in the workplace. According to occupational safety and health standards, employers are responsible for the health consequences of job stress when workers engage in activities that result in high levels of physical fatigue and mental stress. Such activities include long working hours, shift work (including night shifts), driving vehicles, and operating precision machinery. Therefore, precautionary measures should be implemented. Following the COVID-19 epidemic, the logistics industry in Korea has experienced rapid growth owing to the shift from offline to online platforms facilitated by advanced digital infrastructure. Consequently, this study conducted a survey to analyze job stress factors among delivery workers. The survey utilized a Korean job stress factor assessment tool comprising 43 items and analyzed job stress factors considering the work characteristics of the courier business field obtained from responses provided by 421 courier workers nationwide. The survey analysis revealed that the physical environment, job demands, and job autonomy exhibited higher stress indices among Korean workers. Furthermore, the younger the age, the higher the stress on job demands, whereas the higher the age, the higher the stress on relationship conflict, job instability, and workplace culture. In addition, daytime delivery work was associated with higher stress levels in job demands and job instability compared with nighttime delivery work. These findings can serve as foundational data for reducing and preventing job stress among courier workers, whose workload has increased owing to the growth of the logistics industry.

• Journal of Auto-vehicle Safety Association
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• v.14 no.1
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• pp.26-31
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• 2022

Changwon City has the second highest accident rate with 79.6 according to the city bus accident rate. In fact, 250,000 people use the city bus a day in Changwon, The number of accidents is increasing gradually. In addition, a recent fire accident occurred in the engine room of a city bus (CNG) in Changwon, which has gradually expanded the public's anxiety. In the case of business vehicles, the government conducts inspections with a short inspection cycle for the purpose of periodic safety inspections, etc., but it is not in the monitoring stage. In the case of city buses, the operation records are monitored using Digital Tacho Graph (DTG). As such, driving records, methods, etc. are continuously monitored, but inspections are conducted every six months to ascertain the safety and performance of automobiles. It is difficult to identify real-time information on automobile safety. Therefore, in this study, individual automobile management solutions are presented through machine learning techniques of inspection results based on driving records or habits by linking DTG data and Vehicle Inspection Management System (VIMS) data for city buses in Changwon from 2019 to 2020.

• Journal of Industrial Convergence
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• v.21 no.7
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• pp.1-8
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• 2023

There have been more demands for the culture and leisure activity services in the industry friendly to older adults. Of these culture and leisure activities, the activity of their watching TV programs and online media content has been on the increase. High-resolution display devices have become popular and are cheaper than before, and hardware for realizing multi-dimensional images can be easily configured. However, it is not easy to view high-resolution multi-dimensional images that reflect the physical and mental characteristics of the elderly. It is expected that the results of this study contributes to developing a variety of content for older adults' culture and leisure activities with the use of reality image technology and promoting the industry friendly to older adults by developing.

• 한국벤처창업학회:학술대회논문집
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• 2021.04a
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• pp.33-42
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• 2021

Based on the findings of Lee et al.(2020) and Lee & Oh(2021), this paper aims to fill the gap in our knowledge regarding the relationship between strategic choices and corporate growth by utilizing a novel dataset of 'Unicorn' and 'Hyper-growing' companies. Two previous studies provide coherent findings that the relationship between firms' strategies and their performance should be explored under a more comprehensive framework with consideration of both internal and external factors. Therefore, in this study, we apply a single conceptual framework to two different datasets, which considers the strategy factors as independent variables, and the industry(market) and the firm age as moderating variables. For our dependent variables, valuations for unicorn companies and revenue CAGR for hyper-growing companies are used after categorizing them into three uniform groups. The strategy variables include 'Generic (Cost-leadership, Differentiation, focus) strategies', 'Growth(Organic, M&A) strategies', 'Leading(Pioneer, Fast-follower) strategies', 'Target market(B2B, B2C, B2G, C2C) strategies', 'Global(Global, Local) strategies', 'Digital(Online, Offline) strategies.' For industry(market) factors, it consists of historical growth rate for industries and economic, demographic, and regulatory aspects of states and countries. To overcome the differences in their units, they are also uniformly categorized into multiple groups. Before we conduct a regression analysis, we analyze the industry distribution of the 'Unicorn' and the 'Hyper-growing' companies with descriptive statistics at the integrated and individual levels. Next, we employ hierarchical regression models on Study A('Unicorn' companies in 2019) and Study B('Hyper-growing' companies in 2019) under the same comprehensive framework. We then analyze the relationship between the 'strategy' and the 'performance' factors with two different approaches: 1) an integrated regression model with both the sample of Study A and B and 2) respective regression models on Study A and B. This empirical study aims to provide a complete understanding and a reference to which strategy factors should be considered to promote firms' scale-up and growth.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.186-197
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• 2023

In this study, we focus on the improvement of data quality transmitted from a weather buoy that guides a route of ships. The buoy has an Internet-of-Thing (IoT) including sensors to collect meteorological data and the buoy's status, and it also has a wireless communication device to send them to the central database in a ground control center and ships nearby. The time interval of data collected by the sensor is irregular, and fault data is often detected. Therefore, this study provides a framework to improve data quality using machine learning models. The normal data pattern is trained by machine learning models, and the trained models detect the fault data from the collected data set of the sensor and adjust them. For determining fault data, interquartile range (IQR) removes the value outside the outlier, and an NGBoost algorithm removes the data above the upper bound and below the lower bound. The removed data is interpolated using NGBoost or long-short term memory (LSTM) algorithm. The performance of the suggested process is evaluated by actual weather buoy data from Korea to improve the quality of 'AIR_TEMPERATURE' data by using other data from the same buoy. The performance of our proposed framework has been validated through computational experiments based on real-world data, confirming its suitability for practical applications in real-world scenarios.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.1111-1117
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• 2023

Recently, South Korean newspapers began trying to charge for online news. This study attempts to shed light on the factors that influence payment for online news by analyzing Korea Press Foundation's 2022 Media Audience Survey (N = 58,936). The results of this study showed a steady increase in past payment and paying intent for online news since 2020. Predictors of past payment for online news included gender, age, and education, and interest in political and social issues. News use through specific media (i.e., newspapers, magazines, portals, messengers, social media, video sites, and podcasts), as well as mobile applications and e-mail newsletters, were found to contribute to paid subscriptions. Based on the findings of the study, news organizations should prepare to offer differentiated news content through their own news platforms and establish concrete plans to build trust in news.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3218-3241
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• 2023

Financial fraud undermines the sustainable development of financial markets. Financial statements can be regarded as the key source of information to obtain the operating conditions of listed companies. Current research focuses more on mining financial digital data instead of looking into text data. However, text data can reveal emotional information, which is an important basis for detecting financial fraud. The audit opinion of the financial statement is especially the fair opinion of a certified public accountant on the quality of enterprise financial reports. Therefore, this research was carried out by using the data features of 4,153 listed companies' financial annual reports and audits of text opinions in the past six years, and the paper puts forward a financial fraud detection model integrating audit opinions. First, the financial data index database and audit opinion text database were built. Second, digitized audit opinions with deep learning Bert model was employed. Finally, both the extracted audit numerical characteristics and the financial numerical indicators were used as the training data of the LightGBM model. What is worth paying attention to is that the imbalanced distribution of sample labels is also one of the focuses of financial fraud research. To solve this problem, data enhancement and Focal Loss feature learning functions were used in data processing and model training respectively. The experimental results show that compared with the conventional financial fraud detection model, the performance of the proposed model is improved greatly, with Area Under the Curve (AUC) and Accuracy reaching 81.42% and 78.15%, respectively.

• Journal of the Economic Geographical Society of Korea
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• v.27 no.1
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• pp.53-73
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• 2024

While global production supply chains are expected to shift toward friendly or allied countries, pandemic-shoring such as nearshoring and friendshoring, due to increased protectionism and the reorganization of regional value chains in the wake of the global pandemic, the study found that economic rather than political factors are still at play in consumer supply chains. In the case of Chinese e-commerce market (C-commerce), the study attributes the rapid growth of the market to (1) related regulatory relaxations introduced to stimulate consumption after the end of COVID-19, (2) an increasing pattern of wanting to consume more for a limited income and (3) unconventional business activities to increase their share of the global consumption market. Through these phenomena, the production-consumption network is likely to develop into a more fragmented form, and the consumption network in particular is expected to become more fragmented, influenced by the digital technology war, a phenomenon of re-globalization.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.147-156
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• 2024

This paper introduces the design of a turtle neck posture correction and prevention system for users of digital devices for a long time. The number of forward head posture patients in Korea increased by 13% from 2018 to 2021, and has not yet improved according to the latest statistics at the present time. Because of the nature of the disease, prevention is more important than treatment. Therefore, in this paper, we designed a system based on built-camera in most laptops to increase the accessiblility of the system, and utilize the features such as Pose Estimation, Face Landmarks Detection, Iris Tracking, and Depth Estimation of Google Mediapipe to prevent the need to produce artificial intelligence models and allow users to easily prevent forward head posture.

• Fashion & Textile Research Journal
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• v.26 no.1
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• pp.88-98
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• 2024

With the growing preference among Chinese consumers for purchasing beauty products through social media networks (SNS), influencer marketing has recently emerged as a crucial strategy for maximizing word-of-mouth effects. This study aims to ascertain the impact of SNS beauty influencers' characteristics on trustworthiness and consumers' intentions to engage in word-of-mouth promotion. Furthermore, the study seeks to explore the moderating role of consumer involvement in the relationship between SNS beauty influencer characteristics and the trust consumers place in them. As part of an empirical analysis, an online survey was administered to 259 Chinese female consumers who had previously purchased beauty products through influencers on SNS. The data gathered were scrutinized by conducting multiple and hierarchical regression analysis to test the proposed hypotheses. The findings indicated that the attributes of "expertise,"' "intimacy," and "homogeneity" in SNS beauty influencers significantly affect influencer trust, whereas "charm" does not have a significant impact. Moreover, consumer involvement was found to moderate the relationship between SNS beauty influencer characteristics (expertise, intimacy, charm, and homogeneity) and influencer trust. Additionally, influencer trust positively influenced the intention to engage in word-of-mouth activities. These findings signify that leveraging influencers possessing qualities such as expertise, intimacy, and homogeneity can help enhance product exposure, popularity, and sales of the beauty industry. This study contributes valuable insights into the strategic utilization of influencer characteristics in the beauty industry and digital marketing, highlighting their pivotalrole in consumer engagement and the success of marketing strategies.