• The Southeast Asian review
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• v.20 no.3
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• pp.183-222
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• 2010

본 연구의 목적은 2008년 후반에 발생한 국제금융위기에 대응하여 조직 개편을 선택한 기업과 그 기업 내의 근로자들 실태 파악을 하는데 있다. 특히 기업구조조정 명목으로 단행된 해고를 모면한 근로자들 (생존자)의 상태를 그들이 지각하는 각 개인의 관리자에 대한 만족도와 그들의 직무관련태도인 직무만족, 조직적 몰입 그리고 이직 의도 간의 관계 관점에서 살피고자 한다. 관리자에 대한 만족도는 근로자들의 직무 관련 태도 변수와 관련되어 사회적 선행변수로 선택되었으며 직무관련태도는 결과변수로 선택하였다. 본 연구를 통해 생존자들의 조직 내 직무관련태도에 관한 이해를 높이는데 필요한 정보를 표출해내어 그들의 실태를 파악하는데 하나의 목적을 두었으며 그들의 관리자와의 사회적 관계가 그들에게 미치는 영향을 파악하는 것이 또 하나의 목적이라 하겠다. 이상과 같은 관계 파악을 통해 얻은 정보로 관련기업이 단기적으로 성공적인 자립을 하여 장기적으로 경쟁력 있는 조직으로 성장할 수 있는 인적자원전략을 제공하는데 2차적인 목적을 두고 있다. 본 연구는 이상과 같은 목적을 달성하고자 그 유의성이 증명된 현존하는 설문을 활용한 조사기법을 채택하여 실증연구를 하였다. 수집한 자료는 SPSS 17.0과 LISREL 8.5을 사용하여 연구모형과 연구의 가설들을 검증하였다. 연구목적을 달성하고자 채택된 가설들은 기존의 문헌연구를 토대로 세워졌다. 연구대상은 태국 북부지역의 대표도시인 치앙마이 내 관광호텔 종사자들로서 외부적으로는 2008년 국제금융위기와 그에 따른 경제침체, 내부적으로는 극심한 정치적 사회적 불안에 의한 관광객의 급감소와 조직의 자구책으로 행해진 조직재구조 차원에서의 해고를 이겨낸 근로자들, 즉 생존자들이었다. 가설검증을 통해 입증된 연구결과에 의하면 1) 근로자들의 관리자에 대한 만족은 그들의 직무만족, 정서적 조직몰입과 지속적 조직몰입에 영향을 미치는 것으로 검증됐다. 2) 근로자들의 관리자에 대한 만족은 그들의 이직의도에는 영향을 미치지 못하는 것으로 검증됐다. 3) 근로자들의 직무만족은 그들의 이직의도에 영향을 미치는 것으로 검증되었다. 4) 근로자들의 조직적 몰입과 이직의도 간의 관계에 있어서는 오직 경제적 성격의 지속적 조직몰입만 영향을 미치는 것으로 검증되었다. 이러한 연구 결과는 기존의 타 연구 결과와 기본적인 맥락은 같게 나왔으나 근로자들의 정서적인 면의 부재는 2008년 후반 당시의 독특한 태국의 사회적, 경제적 그리고 문화적 실태를 보여주는 것이 아닌 가 사료된다. 특히 근로자들이 그들의 직장과의 관계와 관련된 의사결정을 가치가 아닌 경제적인 요소에 의존한다는 결과 그리고 상관인 관리자가 이러한 태도에 전혀 영향력을 미치지 못한다는 결과는 전통적으로 감성적이며 집단주의적인 동양적 문화가 지배하리라고 예상했던 태국에서는 이례적인 결과였다. 그러나 관리자들이 그들의 직무만족 그리고 조직적 몰입에 영향을 주며 직무만족이 이직 의도에 영향을 미친다는 결과와 지속적 조직몰입이 이직의도에 영향을 미친다는 결과는 장기적으로 적극적인 관리자 교육을 통해 근로자들을 조직에 정서적으로도 올바르게 안착시키고 긍정적인 구성원으로 존재하면서 조직에 기여할 수 있는 그들의 역할을 기대할 수 있다고 볼 수도 있다. 이 점은 매우 중요한데 그 이유는 해고를 이겨낸 근로자들은 그 조직이 미래를 짊어지는 마지막 기대변수이기 때문이다.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.235-246
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• 2021

This study analyzed the effects of SMEs' open innovation capabilities and organization capabilities to lead these innovations on corporate performance. For this purpose, an empirical analysis was conducted targeting 250 small and medium-sized enterprises(SMEs) employee. The empirical study results are as follows. Absorptive capability, relational capability, CEO's innovativeness, employee's innovativeness, and decision-making openness had a significant positive (+) effect on the non-financial performance of SMEs. It was analyzed that multiplicative capability did not significantly affect non-financial performance. On the other hand, absorptive capability, relational capability, CEO's innovativeness, and decision-making openness had a significant positive (+) effect on the financial performance of SMEs. It was analyzed that multiplicative capability and employee's innovativeness did not significantly affect financial performance. Decision-making openness and absorptive capability were analyzed as factors that have an most important influence on a company's financial and non-financial performance. Based on these research results, academic and practical implications were presented.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.307-332
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• 2022

One of the most intensively conducted research areas in business application study is a bankruptcy prediction model, a representative classification problem related to loan lending, investment decision making, and profitability to financial institutions. Many research demonstrated outstanding performance for bankruptcy prediction models using artificial intelligence techniques. However, since most machine learning algorithms are "black-box," AI has been identified as a prominent research topic for providing users with an explanation. Although there are many different approaches for explanations, this study focuses on explaining a bankruptcy prediction model using a counterfactual example. Users can obtain desired output from the model by using a counterfactual-based explanation, which provides an alternative case. This study introduces a counterfactual generation technique based on a genetic algorithm (GA) that leverages both domain knowledge (i.e., causal feasibility) and feature importance from a black-box model along with other critical counterfactual variables, including proximity, distribution, and sparsity. The proposed method was evaluated quantitatively and qualitatively to measure the quality and the validity.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.195-203
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• 2023

Purpose: This study intends to check validity of tools for awareness of Business Continuity through measurement and analysis on the sub factors of Business Continuity by employees of railway-related organizations. Method: Based on the preceding study, sub factors of the awareness of Business Continuity are divided into 7 and the total of 29 questions were delivered to employees of railway-related organizations for investigation and analysis through the online survey tool. Result: According to EFA result, the number of factors of awareness of Business Continuity based on the theoretical ground was reduced to 7 and the total coefficient of determination was 82.616%. Checking the questions by factor, all the questions were loaded as intended. Conclusion: Validity of measurement tools of Business Continuity whose sub factors are the Context of Organization, Leadership, Planning, Operation, Support, Performance evaluation, and Improvement for railway organizations were secured through the Exploratory Factor Analysis of this study. As for the further tasks, studies on the structural relationship among internalization of business continuity, organization effectiveness, learning support environment, etc are required.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.161-172
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• 2023

Safety education delivered to construction workers in a lecture manner has limitations in concentration and immersion, so delivery power and interest are low. In order to improve unstable behavior through education and prevent safety accidents, it is necessary to change the paradigm to hands-on education. Purpose: Experiential safety education aims to contribute to preventing accidents for construction workers by quickly recognizing risks, improving emergency response skills, and verifying the effectiveness of pre- and post-learning. Method: Based on a survey of workers who experienced the same work environment as the actual construction site, an opinion survey on the pre- and post-safety experience education and a variable measurement tool were planned, and a research hypothesis was established. Results: The Bayesian theory and MC simulation analysis were used to analyze the structural equation model, and the change in construction worker behavior was confirmed through the intended safety (A), non-experiential education in the sub-area of anxiety (B), average, standard deviation, and minimum and maximum values. Conclusion: The effect of education and industrial accidents are reduced only when construction workers are motivated to participate.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.3
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• pp.117-124
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• 2023

Through reorganization in 2008, The ministry of Agriculture, Food and Rural Affairs integrated management of the food industry by transferred functions which was scattered in the Ministry of Health and Welfare, and established comprehensive policies covering the primary, secondary, and tertiary industries. In the agricultural industry sector, new business concepts such as smart farm and food tech have recently emerged alongside the fourth industrial revolution. In order for the Ministry of Agriculture, Food, and Rural Affairs to develop appropriate policies for the fourth industrial revolution, it is necessary to accurately estimate the size of agricultural and livestock-related businesses. In 2017, the Ministry of Agriculture, Food, and Rural Affairs initiated research for the agriculture, livestock and food industry's special classification, which was approved by the National Statistical Office in 2020. The estimation of the agriculture, livestock and food industry's size based on special classification is crucial because it has a substantial impact on the formulation and significance of policies. In this paper, the appropriate rate was derived from samples extracted from the special classification and the Korean standard industrial classification. Proposed are a method for estimating the population of the agricultural and livestock food industry, as well as a method for calculating the appropriate rate that more accurately reflects the population than the method currently in use.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.3
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• pp.85-96
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• 2023

This study developed and evaluated a safe route guidance service for electric personal assistive mobility device used mainly by the mobility impaired people to improve their mobility. Thirteen underlying factors affecting the mobility of electric personal assistive mobility device have been derived through a survey with the mobility impaired people and employees in related organizations in Busan Metropolitan City. After assigning safety scores to individual factors and identifying the relevant factors along routes of interest with an object detection AI model, the safe route for electric personal assistive mobility device was provided through an optimal path-finding algorithm. As a result of comparing the general route of T-map and the recommended route of this study for the identical routes, the latter had relatively fewer obstacles and the gentler slope than the former, implicating that the recommended route is safer than the general one. As future works, it is necessary to enhance the function of a route guidance service based on the real-time location of users and to conduct spot investigations to evaluate and verify its social acceptability.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.731-736
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• 2023

Recently, the medical field has been applying mandatory Electronic Medical Records (EMRs) and Electronic Health Records (EHRs) systems that computerize and manage medical records, and distributing them throughout the entire medical industry to utilize patients' past medical records for additional medical procedures. However, the conversations between medical professionals and patients that occur during general medical consultations and counseling sessions are not separately recorded or stored, so additional important patient information cannot be efficiently utilized. Therefore, we propose an electronic medical record system that uses speech recognition and natural language processing deep learning to store conversations between medical professionals and patients in text form, automatically extracts and summarizes important medical consultation information, and generates electronic medical records. The system acquires text information through the recognition process of medical professionals and patients' medical consultation content. The acquired text is then divided into multiple sentences, and the importance of multiple keywords included in the generated sentences is calculated. Based on the calculated importance, the system ranks multiple sentences and summarizes them to create the final electronic medical record data. The proposed system's performance is verified to be excellent through quantitative analysis.

• Journal of Korea Port Economic Association
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• v.39 no.4
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• pp.147-161
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• 2023

As global challenges, particularly climate change, become more pressing, there is a growing global awareness of Environmental, Social, and Governance (ESG) management. Given the crucial role played by the logistics industry in the complex network of the global supply chain, various societal stakeholders are emphasizing the necessity for logistics entities to practice ESG management. Despite the comprehensive ESG guidelines established by Korea for all enterprises, a notable limitation arises from its inadequate consideration of the distinctive features inherent to logistics enterprises, especially those of a smaller and medium scale. Accordingly, this study conducts a thorough examination of existing ESG guidelines, sustainable management approaches in large-scale logistics enterprises, and prior research to identify potential ESG management diagnostic criteria relevant to small and medium-sized logistics enterprises, including aspects such as Public(P), Environmental(E), Social(S), and Governance(G). To streamline the diagnostic criteria, taking into account the unique characteristics of small and medium-sized logistics enterprises, this study conducts a survey involving 60 logistics company personnel and experts from academic and research domains. The collected data undergoes Principal Component Analysis (PCA), revealing that the four dimensions of information disclosure can be consolidated into a single dimension. Additionally, environmental criteria reduce from 16 to 3 items, societal considerations decrease from 22 to 7 items, and governance structures distill from 20 to 5 items. This empirical endeavor is deemed significant in presenting tailored ESG management diagnostic criteria aligned with the specificities of small and medium-sized logistics enterprises. The findings of this study are expected to serve as a foundational resource for the development of guidelines by relevant entities, promoting the wider adoption of ESG management practices in the sphere of small and medium-sized logistics enterprises in the near future. population coming from areas other than Gwangyang, where Gwangyang Port is located.

• Journal of the Korean Institute of Landscape Architecture
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• v.46 no.1
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• pp.9-16
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• 2018

Landscape architecture is an indispensable professional service in building sustainable land and urban environments. The landscape architecture industry is closely related to the promotion of the health and welfare of the people, urban revitalization and residential environment improvement as well as job creation. Despite various public interest values of landscape architecture, the growth engine of the landscape architecture industry, which is supposed to improve the quality of landscape services, has stagnated. In 2015, the Landscape Architecture Promotion Act was enacted to provide a landscape architectural promotion facility and complex system to support revitalization through the integration of the landscape architecture industry. The purpose of this study is to suggest an improvement plan to enhance the effectiveness of the landscape architectural promotion facility and complex system. The results of the analysis are as follows: First, workers and experts in landscape architecture recognized the need for policies and projects to promote the landscape architecture industry. Second, the industrial types suitable for the landscape architectural promotion facility were landscape design, landscape maintenance and management, and landscape construction industry. Meanwhile the industrial types suitable for a landscape architectural promotion complex were landscape trees and landscape facilities production and distribution. Third, the expected effect of the designation of the landscape architectural facility was 'the increase of the business opportunity through the expansion of the network'. On the other hand, that of the landscape architectural promotion complex was 'the activation of various information sharing'. Fourth, 'the size of the local government landscape architecture industry and the capacity to cultivate' was the most important among the designation criteria of the landscape architectural promotion facility. As for that of the landscape architectural promotion complex, the 'feasibility of promotion plan' was the most crucial. Fifth, 'tax benefit and deductible exemption' was considered as a necessary support method for the activation of the landscape architectural promotion facility, and 'maintenance and management fee support' was recognized in the case of the landscape architectural promotion complex.