• Journal of Wetlands Research
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• v.26 no.3
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• pp.266-271
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• 2024

In order to minimize damage from disasters, rapid initial measures using disaster response manuals are needed. However, the existing disaster response manual is written in the form of a vast booklet, so there is a limit to accurately understanding the contents of the manual and using it for disaster response. Therefore, this study established an e-SOP system based on the disaster response manual, and suggested countermeasures using the e-SOP in the event of a disaster. Based on the guidelines for preparing the on-site action manual, the main functions of the e-SOP consisted of situation propagation, situation reporting, and situation management. In order to increase the on-site responsiveness and usability of the system, the bottom-up reporting system was strengthened so that the person in charge could report the response situation of the site to the situation room using the situation reporting function. In addition, the situation room was able to identify and manage the progress of disaster response work and support decision-making through situation reports delivered from the field.

• Journal of Wetlands Research
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• v.26 no.3
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• pp.245-253
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• 2024

Blue-green algal bloom, or harmful algal bloom has a negative impact on the aquatic ecosystem and purified water supply system due to oxygen depletion in the water body, odor, and secretion of toxic substances in the freshwater ecosystem. This Blue-green algal bloom is expected to increase in intensity and frequency due to the increase in algae's residence time in the water body after the construction of the Nakdong River weir, as well as the increase in surface temperature due to climate change. In this study, in order to respond to the expected increase in green algae phenomenon, an algal bloom forecast system based on hydro-meteorological factors was presented for preemptive response before issuing a algal bloom warning. Through polyserial correlation analysis, the preceding influence periods of temperature and discharge according to the algal bloom forecast level were derived. Using the decision tree classification, a machine learning technique, Classification models for the algal bloom forecast levels based on temperature and discharge of the preceding period were derived. And a algal bloom forecast system based on hydro-meteorological factors was derived based on the results of the decision tree classification models. The proposed algae forecast system based on hydro-meteorological factors can be used as basic research for preemptive response before blue-green algal blooms.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.443-449
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• 2024

This study aims to analyze the complex impact of technological changes in the Fourth Industrial Revolution era and demographic shifts in Korea on military personnel management, and to explore innovative strategies for the Korean military's workforce operations. The research findings indicate that changes in future battlefield environments and the introduction of advanced technologies necessitate a fundamental restructuring of military personnel, emphasizing a shift towards a highly specialized and elite workforce. Key research findings are as follows: First, the military application of cutting-edge technologies, such as unmanned systems, autonomous weapon systems, and AI-based decision support systems, is expanding. Second, this technological advancement requires a restructuring of personnel to foster a technology-intensive elite force, including optimizing troop size, reorganizing unit structures, and increasing the utilization of civilian expertise. Third, strategies for securing high-tech talent include strengthening internal technology talent development programs, establishing systems to attract civilian experts, and building a talent development system through industry-academia-research cooperation. The significance of this study lies in providing a theoretical and practical foundation for building a future-oriented and efficient Korean military organization by presenting innovative measures for military human resource management systems suitable for the Fourth Industrial Revolution era. For these changes to be successfully implemented, cooperation among relevant stakeholders, including the military, government, academia, and industry, is essential, supported by comprehensive national-level planning and support.

• Journal of Service Research and Studies
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• v.14 no.3
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• pp.79-101
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• 2024

This study aims to investigate the impact of hotel marketing agility on employee job crafting and service innovative behavior in the context of the uncertainties faced by the Korean hotel industry amidst a rapidly changing business environment. In the post-COVID era, hotel companies need to quickly detect market trends and respond flexibly to secure a competitive advantage and promote sustainable growth. Given the high proportion of face-to-face services in the hotel industry, marketing agility is emerging as a core competency to effectively cope with changing customer demands and market dynamics. However, an organization's agile marketing capabilities only take on true meaning when frontline employees voluntarily redesign their jobs and lead service process innovations. In this regard, job crafting, which refers to employees' active redefinition and modification of their job boundaries, can serve as a link between organizational agility and individual innovative behavior. By empirically analyzing the structural relationship between marketing agility, job crafting, and service innovative behavior in the hotel context, this study applies the concept of agility to the field of human resource management and provides new insights into the antecedents and outcomes of job crafting. The results show that hotel responsiveness has a significant positive impact on all three dimensions of job crafting. In the case of speed and flexibility, they had a significant positive effect on task and relational crafting, but the effect of speed on cognitive crafting was not significant. The implications of the study suggest that hotels' rapid decision-making and execution may actually constrain employees' cognitive crafting activities, such as reflecting on and reinterpreting the meaning and identity of their work. Furthermore, it is expected to provide meaningful insights for hotel managers facing environmental upheavals to seek practical measures to enhance agility and innovativeness.

• Journal of Service Research and Studies
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• v.14 no.3
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• pp.60-78
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• 2024

Social Network Service(SNS) has fundamentally changed the scope, boundaries, and dynamics of social interactions, becoming an integral part of everyday social communication for individuals and significantly altering the decision-making processes of individuals and organizations. Although prior studies have agreed that individual motivations significantly affect travel experience sharing behavior on SNS, different motivations need to be further examined. Also, there is little empirical study that examines the relationships between social capital and motivations. To address these gaps, this study developed a research model to investigate how two types of social capital (i.e., bridging and bonding) influence individual motivations (i.e., self-enhancement and altruism motivations), which in turn contributes to travel experience sharing behavior on SNS. The online survey was conducted from March 3 to March 17, 2021, and 516 responses were included in the data analysis. Structural Equation Modeling was applied to test the hypotheses in a research model. This research provided a comprehensive exploration of the relationship between motivations and social capital, contributing to a better understanding of why tourists share their travel experiences on SNS.

• Journal of the Society of Disaster Information
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• v.20 no.3
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• pp.484-499
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• 2024

Purpose: Recently, due to the aging of safety facilities in national industrial complexes, there has been an increase in the frequency and scale of safety accidents, highlighting the need for a shift toward a prevention-centered disaster management paradigm and the establishment of a digital safety network. In response, this study aims to provide an information system that supports more rapid and precise decision-making during disasters by utilizing digital twin-based integrated control technology to predict the spread of hazardous substances, trace the origin of accidents, and offer safe evacuation routes. Method: We considered various simulation results, such as surface diffusion, upper-level diffusion, and combined diffusion, based on the actual characteristics of hazardous substances and weather conditions, addressing the limitations of previous studies. Additionally, we designed an integrated management system to minimize the limitations of spatiotemporal monitoring by utilizing an IoT sensor-based backtracking model to predict leakage points of hazardous substances in spatiotemporal blind spots. Results: We selected two pilot companies in the Gumi Industrial Complex and installed IoT sensors. Then, we operated a living lab by establishing an integrated management system that provides services such as prediction of hazardous substance dispersion, traceback, AI-based leakage prediction, and evacuation information guidance, all based on digital twin technology within the industrial complex. Conclusion: Taking into account the limitations of previous research, we used digital twin-based AI analysis to predict hazardous chemical leaks, detect leakage accidents, and forecast three-dimensional compound dispersion and traceback diffusion.

• Journal of the Institute of Convergence Signal Processing
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• v.25 no.2
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• pp.100-112
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• 2024

This study investigates the ethical and legal implications of utilizing artificial intelligence (AI) in human resource management, with a particular focus on AI interviews in the recruitment process. AI, defined as the capability of computer programs to perform tasks associated with human intelligence such as reasoning, learning, and adapting, is increasingly being integrated into HR practices. The deployment of AI in recruitment, specifically through AI-driven interviews, promises efficiency and objectivity but also raises significant ethical and legal concerns. These concerns include potential biases in AI algorithms, transparency in AI decision-making processes, data privacy issues, and compliance with existing labor laws and regulations. By analyzing case studies and reviewing relevant literature, this paper aims to provide a comprehensive understanding of these challenges and propose recommendations for ensuring ethical and legal compliance in AI-based HR practices. The findings suggest that while AI can enhance recruitment efficiency, it is imperative to establish robust ethical guidelines and legal frameworks to mitigate risks and ensure fair and transparent hiring practices.

• Information Systems Review
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• v.26 no.1
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• pp.173-192
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• 2024

The phenomenon of consumers referring to the opinions of other consumers when choosing a hotel based on review platforms is rapidly increasing. Previous research has mainly focused on how online reviews affect travelers' information acceptance and decision making. However, there are only a few studies on how hotels' CSR activities are reflected in online reviews and how this information affects potential consumers. As the importance of CSR in the hotel industry continues to grow, it is meaningful to analyze whether a hotel's CSR activities are communicated to other potential consumers through online reviews. In this study, we explored the relationship by considering the reviewer's culture as a leading factor of CSR information included in online reviews and review usefulness as a subsequent factor. For empirical analysis, 6,632 online reviews of hotels located in Seoul were collected and analyzed using multilevel regression analysis. The LIWC(Linguistic Inquiry and Word Count) methodology was used to measure CSR information, and national culture was measured separately into East and West. As a result of the analysis, consumers in Asian countries tend to write relatively more CSR information in online reviews, and CSR information included in reviews had a positive effect on review usefulness.

• Information Systems Review
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• v.26 no.1
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• pp.151-172
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• 2024

Metaverse, which supports social and economic activities in the virtual world, is being cited as the core of future Web 3.0 businesses. However, most of the major metaverse platforms currently adhere to the Web 2.0 system and are operated in a centralized manner. Accordingly, this study investigated the form of metaverse operation by examining the case of Decentraland, a metaverse platform operated as DAO, a decentralized autonomous organization in the form of Web 3.0. From the case analysis, we found that Decentraland had positive characteristics such as a horizontal operating structure, fair profit distribution, and transparency, but there were challenges including the possibility of returning to centralization in the operating process, the possibility of abuse of an autonomous system, and inefficiency in decision-making. Therefore, in this study, the timing of transition to DAO governance was discussed, and DAO's efforts for business continuity and the need for adjustment for autonomous operation were suggested as implications. The implications presented in this study are expected to contribute to materializing not only practical but also theoretical aspects of platform operation aimed at web 3.0 as well as the metaverse.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.219-227
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• 2024

The rapidly changing security environment and technological innovations of the 21st century present new challenges to military organizations. Particularly, as the MZ generation, comprised of Millennials (born 1981-1996) and Generation Z (born 1997-2012), emerges as the primary workforce in the military, traditional military personnel management methods are being called into question. The MZ generation, as digital natives, are technologically proficient, prioritize personal growth and quality of life, and prefer horizontal communication and participation. The purpose of this study is to reestablish talent acquisition and retention strategies for military organizations, considering the characteristics and demands of the MZ generation. To this end, we analyzed advanced talent management techniques from the corporate sector and explored ways to apply them to the unique context of military organizations. Additionally, by examining the current status and challenges of the Korean military, we attempted a balanced approach that considers both global trends and Korea's specific circumstances. The research results suggest various strategies including career development programs, cultural innovation, improvement of reward systems, participatory decision-making, enhancement of digital competencies, and creation of flexible work environments. These strategies are expected to improve the efficiency and competitiveness of military organizations while simultaneously enhancing job satisfaction and organizational commitment among MZ generation service members.