Earticle

본 연구의 목적은 지금까지 다양하게 수행되어 온 공공기관 경영평가제도에 대한 연구 결과들을 대상으로 내용분석방법을 적용하여 메타분석을 실시하고 경영평가제도의 문제 점과 개선방안에 대한 시사점을 도출하는 것이다. 이를 위해 2014년부터 2018년까지 5개 년 동안의 경영평가제도와 관련된 연구보고서와 연구논문들을 수집하였고 데이터마이닝 과정을 거쳐 핵심 주제어를 도출하고 그 연결중심성과 클러스터를 확인하였다. 분석결과, 첫째 공공기관 경영평가제도의 가장 핵심적인 문제점은 지표선정상의 문제이며, 경영평 가결과가 공공기관을 서열화하는 수단으로 작용할 수 있고 경영평가가 공공기관이 지니 고 있는 자율성을 침해하고 있으며, 단기적인 성과에 치우치는 경영을 할 수 밖에 없는 구조를 양산할 수 있다는 점이다. 둘째, 공공기관 경영평가제도의 개선방안에서 가장 우 선적으로 고려되어야 하는 것은 공공성을 측정할 수 있는 평가 지표 반영과 평가주기의 다변화였다.

The purpose of this study is to conduct a meta - analysis on the results of the study on the public institution management evaluation system and to draw some implications for the problem and improvement plan of the management evaluation system. The results of the analysis show that the most important problem of the management evaluation system of public institution is the problem of selection of indicators and the result of management evaluation can serve as a means of sequencing public institutions. In addition, management evaluation infringes the autonomy of public institutions, and it is possible to mass-produce structures that are forced to perform management that is biased toward short-term results. Second, the most important consideration in the improvement plan of the public institution management evaluation system is to reflect the evaluation indicators that can measure publicness and to diversify the evaluation cycle.

지금까지 대부분의 경영학 및 마케팅연구들은 실증분석을 위주로 연구됨에 따라 연구동향을 분석하고 지식구조를 탐색하는데 한계점을 갖고 있다. 또한 연구 주제들 간의 체계적인 분석이 매우 부족한 실 정이다. 본 연구는 이러한 한계점에 착안하여 선행연구들을 토대로 연구동향 및 지식구조를 분석하고 자 하였다. 이를 위해 2010년부터 2021년 9월까지 한국전략마케팅학회의 마케팅논집에 게재된 논문을 대상으로 분석하였다. 분석기간 동안 총 47권이 발간되었으며 외국어로 작성된 논문을 제외하고 총 319개 논문을 대상으로 분석하였다. 구체적으로 연도별 게재된 논문 수, 연구 방법론을 분석함으로써 연구동향을 파악하였다. 또한 주제어의 빈도를 분석함으로써 어떠한 주제가 활발히 연구되고 있는지 확인하였으며 네트워크 텍스트 분석을 통하여 중심성 분석을 실시하였다. 본 연구는 한국전략마케팅학 회의 마케팅논집의 연구동향을 분석함으로써 유익한 시사점을 제시하였다. 또한 네트워크 텍스트 분석 을 통하여 한국전략마케팅학회에 게재된 논문들의 주요 주제어들 간의 지식구조를 파악할 수 있었다. 이를 통하여 마케팅논집의 지속적인 발전을 위한 중요한 함의가 있다고 할 수 있다.

Although previous many business and marketing research had been conducted the empirical analysis, there is a lack of systematic analysis of knowledge structure on these studies. In light of this, we examined the various relationships among keyword of papers in marketing research. More specifically, this study analyzed published papers in ‘Journal of Marketing Studies’ of Korean Strategic Marketing Association from 2010 to 2021 to carry out the purpose of this study. A total of 47 volumes and 319 papers were published during the analysis period, excluding papers written in foreign languages. We firstly classified our sample papers by year and methodological type. Secondly conducted the content analysis and network text analysis to review the papers published in “Journal of Marketing Studies”. We found the research trend over times and key characteristics of knowledge structure between keyword of published papers in Journal of Marketing Studies through network text analysis. The findings of our study provided useful implications for the future research directions for Korean Strategic Marketing Association and business and marketing researchers.

본 연구는 시도교육감 제도가 가지고 있는 문제점을 네트워크 텍스트 분석방법을 활용하여 도출하고자 하는 데 연구목적이 있다. 지금까지의 시도교육감 선출제도의 문제점을 도출하는 데 있어서는 주로 설문지나 인터뷰 방식을 활용하였다. 그 결과, 지금까지의 연구들은 시도교육감 제도가 가지고 있는 문제점들을 단편적 시각에서 이루어진 것이 사실이다. 특정한 문제점이 노출될 때마다 이 문제점 중심으로 현재의 시도교육감 제도를 쟁점으로 삼아 왔다는 것이다. 본 연구에서는 이러한 기존 연구의 한계를 극복하고 보다 종합적 시각에서 현재의 시도교육감 제도가 가지고 있는 현실적인 문제점들을 도출하기 위하여 네트워크 텍스트 분석방법을 적용하고자 한다. 이러한 분석방법을 적용하는 경우, 기존 선행 연구들에 대한 한계를 극복하는 동시에 시도교육감 선출제도 개선을 위한 정책적 방향을 도출하는데 보다 실질적인 유용성을 제공해 줄 수 있다고 생각한다. 네트워크 텍스트 분석방법에 의한 연구결과를 정리하면 다음과 같다. 우선, 최근 4 년동안의 신문사설과 칼럼내용을 분석한 결과, 교육감과 시도지사의 성향차이로 인한 정책 갈등 문제, 교육감의 각종 비리로 인한 문제점, 인사권의 전횡 문제, 선거과정의 고비용 문제, 교육의 자주성 문제 등이 개별적인 세부 문제들과 밀접히 연관되어 있음을 알 수 있다. 향후 교육감 제도개선방향은 이러한 상호 연관된 문제들이 단계적으로 개선될 수 있도록 노력하는 것이 필요하다.

This paper aims to analyze policy issues in superintendent selection system with regard to the 156 editorial and columns included in the major newspapers between 2010 and 2013. The methods employed in this analysis is Network Text Analysis by which the individual and relational attributes of words occurring in the texts of each column and editorial can be identified and analyzed systematically and comprehensibly. The analysis results may be summarized as follows. First, a couple of policy issues regarding superintendent selection system are generally conspicuous in terms of policy area. Second, policy issues including policy ideology discrepancy between governor and superintendent, bribery scandal, and educational autonomy, attracted popular attention. Third, it is noted that endeavors to examine policy issues which may sound sensitive to education policy makers and academics have been rare, indicating that policy efforts in the field of superintendent selection system should undergo change in order to meet academic and practical needs.

본 연구는 중국의 몰입형 실경공연 <오직허난·연극환성(只有河南·戏剧幻城)> 을 사례로, 디지털 플랫폼에 게시된 관람 후기에서 드러나는 감성 표현과 체험 인식의 구조를 분석하여 몰입형 관광공연의 의미 구성 양상을 탐색하는 데 목적 이 있다. 이를 위해 중국의 대표적 문화 리뷰 커뮤니티 플랫폼인 더우반(豆瓣)에 2021년 9월부터 2025년 10월까지 게시된 리뷰 1,262건을 수집하고, 전처리(중국어 분절 및 불용어 제거) 후 TF-IDF 기반 핵심어 추출, SnowNLP 감성 분석, 의미 네트워크 분석을 결합한 계량 텍스트 분석을 수행하였다. 분석 결과, 지역성과 서사 공간을 지시하는 키워드(허난, 리자촌, 밀밭 등)와 감성 어휘(충격, 감동, 몰 입 등)가 핵심 노드로 도출되어, 관람객이 해당 공연을 지역 문화 이미지와 정서 적 공명이 결합된 복합적 체험으로 인식하는 경향이 확인되었다. 전반적으로 긍 정 감성이 우세했으나, 부정 감성 리뷰에서는 공연 내용, 공간 연출, 서비스 경험 등 평가 차원에 따라 의미 연결 양상이 뚜렷하게 분화되는 구조적 특징이 관찰 되었다. 이러한 결과는 온라인 리뷰 커뮤니티가 Soja의 제3공간 관점에서 생활공 간(lived space)의 확장된 형태로 기능하며, 관람 경험이 사후적으로 재서술되고 문화적 의미가 재구성되는 디지털 실천의 장이 될 수 있음을 시사한다. 본 연구 는 비정형 UGC 데이터를 활용해 몰입형 공연 체험의 의미 연결 구조와 감성 표 현 양상을 구조적으로 도출함으로써, 향후 한국 내 지역 기반 관광공연의 체험 설계와 온라인 리뷰 활용 전략 수립에 유의미한 시사점을 제공한다.

This study examines the Chinese immersive, real-scene performance Only Henan·Theatre Fantasy City (只有河南·戏剧幻城) to explore how meanings are constructed in immersive tourism performances by analyzing the structure of sentiment expressions and perceptions reflected in online audience reviews posted on digital platforms. We collected 1,262 reviews published on Douban (豆瓣), a major culture-oriented review community in China, between September 2021 and October 2025. After pre-processing the texts, we conducted a quantitative text analysis combining TF–IDF-based keyword extraction, SnowNLP sentiment analysis, and semantic network analysis. The results indicate that keywords indexing regionality and narrative space (e.g., Henan, Lijia Village, wheat fields) and affective terms (e.g., shock, moved, and immersion) emerged as central nodes, suggesting that audiences tend to perceive the performance as a composite experience in which regional cultural imagery and emotional resonance converge. While positive sentiment predominated overall, negative-sentiment reviews exhibited a structurally differentiated pattern of semantic linkages across evaluative dimensions such as performance content, spatial staging, and service experience. These findings further suggest that online review communities may function, from Soja’s Thirdspace perspective, as an extended form of ‘lived space’ in which viewing experiences are retrospectively re-narrated and cultural meanings are reconfigured through digital practices. By demonstrating that unstructured UGC data can be used to structurally map the semantic linkage patterns and sentiment expressions of immersive performance experiences, this study offers implications for experience design and online review-based strategies in the development of region-based tourism performances in South Korea.

본 연구의 목적은 우리나라 시군 기초자치단체를 커뮤니티로 보고, 커뮤니티 단위에서의 웰빙 수준 을 측정하여 정책결정자들로 하여금 향후 커뮤니티 웰빙 수준을 향상시키기 위한 정책정보를 제공하 는 것을 주요 목적으로 한다. 대도시의 구를 제외한 우리나라 시군의 커뮤니티 웰빙 수준을 중요도와 만족도로 구분하여 측정해 본 결과, 시군의 6개 자본별 평균 점수를 보면 시의 경우 중요도가 가장 높 은 자본은 환경자본으로서 평균점수가 10점 만점에 8.59이고, 군의 경우에도 환경자본이 8.77로 가장 높게 나타나고 있다. 만족도가 가장 높은 자본으로서는 시의 경우에는 인프라 자본으로서 평균점수가 6.73으로 나타나고 있고, 군의 경우에는 환경자본이 6.87로서 가장 높게 나타나고 있다. 중요도와 만족 도를 전체적으로 보면, 모든 자본에서 만족도가 낮고, 중요도는 높게 나타나고 있는 것을 알 수 있다. 정책적으로 중요한 시사점을 제시해 주는 IPA 분석에 의한 2사분면 포함 시군들은 개별 자본별로 상 이하나 일부 시군들의 경우 2사분면에 여러 번 중복적으로 포함되고 있다. 개별 자본별로 2사분면에 포함되는 시군들은 지역주민들이 해당 자본에 대하여 만족도는 낮으면서 중요도는 높게 인식하고 있 으므로 이 분야에 대한 대대적인 개선노력이 있어야 될 것으로 생각한다.

The main purpose of this study is to provide policy information for policy makers to improve the level of community well-being in the future by seeing the second-tier local government of Korea as a community and measuring the level of well-being at the community level. As a result of measuring the level of community well-being in cities and counties in Korea, excluding those in metropolitan cities, the capital with the highest importance in the case of cities is environmental capital, with an average score of 8.59. As for capital with the highest satisfaction, in the case of the city, the average score was 6.73, and in the case of the county, environmental capital was the highest as 6.87. Looking at the importance and satisfaction as a whole, it can be seen that satisfaction is low and importance is high in all capital. The research results show that some cities and counties are included in the second quadrant several times. The local governments included in the second quadrant for each individual capital need to recognize that local residents there have low satisfaction and high importance for the capital, so there should be a major improvement effort in this area.

한국이 빠르게 고령화 사회에서 고령사회로 진입함에 따라 성공적인 노화, 노후 생활이 개인뿐만 아니라 사회적으로도 관심을 받고 있다. 이에 본 연구는 노인의 행복과 불행 관련된 신문 기사를 통해 전체적인 이해와 더불어 제안을 하기 위한 목적으로 연구를 진행했다. 노인의 행복과 불행에 관련된 기존 연구는 연구대상의 특성상 인터뷰 혹은 인터뷰를 동반한 설문조사의 방법론을 사용해 영향요인을 재확인하거나, 단일효과를 검증하는데 머물렀다. 또한 노인의 행복과 불행에 영향을 미치는 중요한 요인 파악과 더불어 정부, 기업, 가정 및 기타 사회 복지기관으로 분류하여 실증적인 행복 증진, 불행 경감 방안을 제시한 연구가 이루어지지 않았다. 따라서 본 연구는 Alderfer의 ERG 이론을 기반으로 검색어를 선정해 18년간(수집 기간: 2001. 08~2018. 02) 온라인 신문기사를 총 211,309건(행복: 200,246건, 불행: 11,063건)을 수집하여 연구를 진행했다. 분석결과 행복 관련 토픽은 연금, 사회 인프라, 건강, 공동체, 복지, 문화생활, 성공적인 노후, 봉사, 종교, 귀농으로 도출되었고, 불행 관련 토픽은 노인 우울, 복지 부족, 종교 의지, 질병, 은퇴 후 소득, 문화, 봉사, 역사적 사건, 예술, 가족 단절로 나타났다. 추가로 토픽 네트워크 분석을 통하여 각 토픽의 키워드 사이의 네트워크를 시각화했다. 따라서 본 연구는 결과를 통한 실현 가능한 제안을 했다는 점을 시사한다.

As Korea became one of the oldest countries in the world, successful aging emerged as an important issue to individuals as well as to society. This study aims to determine not only the Korean seniors’ happiness and unhappiness factors but also the means to enhance their happiness and deal with unhappiness. We collected news articles related to the happiness and unhappiness of seniors with nine keywords based on Alderfer's ERG Theory. We then applied a topic modeling technique, Latent Dirichlet Allocation, to examine the main issues underlying the seniors’ happiness and unhappiness. According to the analysis, we investigated the conditions of happiness and unhappiness by inspecting the topics based on each keyword. We also conducted a detailed analysis based on the main factors from topic modeling. We proposed specific ways to increase and overcome the happiness and unhappiness of seniors, respectively, in terms of government, corporate, family, and other social welfare organizations. This study indicates the major factors that affect the happiness and unhappiness of seniors. Specific methods to boost happiness and relief unhappiness are suggested from the additional analysis.

본 연구는 1970년대 박정희 대통령에 의해 추진되어 한국의 빈곤퇴치와 경제발전에 크게 영향을 미친 것으로 평가받고 있는 새마을운동에 대하여, 첫째, 그동안의 새마을운동에 관련된 연구경향을 학문적으로 분석하여 그 특징을 도출하고, 둘째, 새마을운동에 관한 연구가 하나의 연구물에 그치는 것이 아니라, 하나의 독자적 학문으로서 발전할 수 있는지 그 가능성을 탐색해 보며, 셋째, 하나의 독자적 학문으로서 ‘새마을학’의 향후 발전방향을 제시해 보고자 하는 것이다. 이를 위해서 1970년대부터 2012년까지 수행된 연구들 -학위논문 및 학술지 논문-에 대해서 네트워크 텍스트 분석방법을 적용하여 연구경향을 분석하며, 학문의 구성조건을 기준으로 하여 새마을운동에 관한 연구가 하나의 독자적 학문이 될 수 있는지 탐색해 보았다. 그 결과, 새마을운동의 주요연구대상들은 몇 가지 차원으로 구분될 수 있었으며, 학문의 구성조건을 통해서 볼 때 새마을운동 연구는 독자적 학문으로 성립할 수 있다고 평가된다.

This paper aims to examine the trends of research in Saemaul Undong (The New Community Development Movement), which has been conducted from 1970s to date in Korea, to discover the characteristics underlying them, to discuss the possibility that the studies on Saemaul Undong could become an independent academic discipline, and to put forward some suggestions for its studies to be established as a discipline, based on pre-requisites regarding disciplinarity. In doing so, this study employs Network Text Analysis to analyze the research trends in Saemaul Undong, ranging the academic articles dealing with Saemaul Undong from dissertations. Furthermore, this article puts forward some suggestions which could strengthen the disciplinarity of the Saemaul Undong studies. The analysis result shows that the research works on Saemaul Undong, which have been done up until now, can be sufficient groundworks for being an independent discipline. The author suggests that more inter-disciplinary and trans-disciplinary research methodology be utilized in the field of Saemaul Undong research.

Purpose: This study aimed to identify the main keywords and research topics used in research on problematic smartphone use (PSU) among children (6-12 years old), including parental factors. Methods: The publication period for the literature was set from January 2007 to January 2022, as smartphones were first released in 2007. In total, 395 articles were identified, 230 of which were included in the final analysis. Text network analysis was performed using NetMiner 4.5. Results: Research on this topic has steadily increased since 2007, with 40 papers published in 2021. Eight main research topics were derived: group 1, parental attitudes; group 2, children's PSU behavior and parental support; group 3, family environment and behavioral addiction; group 4, social relationships; group 5, seeking solutions; group 6, parent-child relationships; group 7, children's mental health and school adaptation; and group 8, PSU in adolescents. Conclusion: Parental factors related to PSU have been studied in various aspects. However, more active research on school-age children's PSU needs to be conducted due to the paucity of research in this population compared to studies conducted among adolescents. The results of this study provide useful data for selecting research topics in the field of PSU.

Purpose: The purpose of this study is to identify the knowledge structure of the concept of resilience of dementia caregivers and to understand core topics and the trends in dementia caregiver resilience research over time. Methods: This study is a quantitative content analysis using text network analysis on the studies on resilience of caregivers of people with dementia. We searched the available literature in two scientific databases, PubMed and the Web of Science. Term frequency, the number of co-occurrence, and centrality were analyzed, and Latent Dirichlet Allocation (LDA) analysis was conducted with Net Miner program. Results: A total 187 articles were identified. The core keywords found were "care", "family", "support", "burden", "intervention", "health", "stress", "relationship", "symptom", "depression", "partner", and "quality of life". Four main topics were identified through the LDA analysis, such as "support from family and social resources", "hardships to overcome", "building strength to overcome adversity", and "coping with negative emotions". There was only one study before 2000, but the number of studies steadily increased to 50 for the years 2011-2015, and 111 for the years 2016-2020. Conclusion: This is the first study to analyze the knowledge structure and research trend of resilience research of caregivers of people with dementia through social network analysis and topic modeling. This study provides a scientific basis of the future studies in Korea. Moreover, it is meaningful in that it brought a comprehensive understanding of the studies by comprehensively analyzing the studies of the resilience of caregivers of people with dementia.

This study utilized big data to understand consumers' perceptions of bakery cafes, which have become a post-COVID-19 consumer trend This study utilized big data to understand consumers' perceptions of bakery cafes, which have become a post-COVID-19 consumer trend. By doing so, aimed to use it as a basis for understanding the meaning of consumer behavior using bakery cafes. To do so, we collected titles and original posts containing the word "bakery cafe" from web pages, blogs, and cafes on Naver, Daum, Google, and Twitter from January 1, 2020 to July 4, 2023. Through the Textom and UCINET 6.0 to frequency analysis, identify structural characteristics of the network, key word centrality analysis, and CONCOR(CONvergence of iterated CORrelation) analysis. The results of this study are as follows: First, The top 10 words with the highest frequency of appearance are ‘bakery cafe’, ‘cafe', ‘bakery', ‘bakeies', ‘big store', ‘recommended', ‘matzip', ‘coffee', ‘variety', ‘varieties'. Second, The degree centrality analysis results show that the top 10 words are ‘bakery cafe’, ‘cafe', ‘bakery', ‘big store', ‘recommended', ‘matzip', ‘coffee', ‘variety', ‘varieties', ‘dessert’. So overall, higher frequency and higher importance words indicate that they are more central to the connection. Through a CONCOR analysis, keywords were divided into three clusters. Each cluster was named as ' bakery cafe image, 'bakery cafe usage status', and 'bakery cafe selection properties'. And specially, Each cluster contains a neighborhood associated with a bakery cafe. Therefore, it is necessary to establish a marketing strategy for bakery cafes based on the results of this study.

본 연구는 최근 30년간 발표된 소아완화간호 연구를 대상으로 텍스트 네트워크 분석과 토픽 모델링을 적용하여 연구의 지식 구조와 주제적 동향을 규명하고자 하였다. PubMed, Embase, CINAHL 데이터베이 스에 등재된 소아완화분야 간호 관련 학술 논문의 초록을 분석 대상으로 하였고, 핵심 주요어의 빈도, 연결중심성, 매개중심성을 분석하였다. 토픽 모델링을 적용하였다. 총 1,252편의 초록이 최종 분석에 포함되었다. 핵심 주요어는 ‘가족’, ‘부모’, ‘요구’, ‘생애말기’, ‘경험’으로 나타났다. 토픽모델링 분석 결과, ‘생애말기 돌봄’, ‘가족의 요구 지지’, ‘서비스 전달체계’, ‘증상 관리’의 네 가지 주요 연구 주제가 도출되었다. 시기별 분석에서는 소아완화간호 연구의 꾸준한 양적 증가와 함께, 가족의 요구 지지와 생애말기 돌봄과 관련된 연구가 뚜렷하게 증가하는 경향을 보였다. 본 연구 결과는 소아완화간호 연구가 증상 중심 중재에서 가족 중심 돌봄과 생애말기 돌봄을 강조하는 전인적 돌봄으로 심화하고 있음을 보여준다. 이는 향후 소아완화간호 실무, 교육 및 연구 영역에서 가족 중심 역량과 생애말기 돌봄 역량을 강화할 필요성을 시사한다.

This study aimed to examine the knowledge structure and research topic trends in pediatric palliative nursing by applying text network analysis and topic modeling to published articles over the past 30 years. Data were extracted from abstracts of peer-reviewed articles related to pediatric palliative nursing published between 1995 and 2025. Articles were retrieved from PubMed, Embase, and CINAHL. Keyword frequency, degree centrality, and betweenness centrality were analyzed. Latent Dirichlet Allocation topic modeling was applied. A total of 1,252 abstracts were analyzed. Topic modeling revealed four major research topics: ‘end-of-life care’, ‘supporting family needs’, ‘service delivery system’, and ‘symptom control’. The findings demonstrate that pediatric palliative nursing research has evolved from a primarily symptom-focused approach toward holistic care that emphasize family-centered care and end-of-life care. These results highlight the importance of strengthening family-centered competencies and end-of-life care competencies in pediatric palliative nursing practice, education, and research.

ESG management is essential to ensure the sustainability of companies in an environment where many risks such as climate change are impacting. It is essential to promote academic research that reflects social requirements so that ESG management can be implemented in all fields of our society. The purpose of this research is to identify social issues and trends linked to ESG and determine whether academic studies are being performed to address them. The study aimed to identify social issues and trends related to ESG, news article texts from Big Kinds, a news search site, were collected and topic modeling and semantic network-based text analysis were performed. In order to understand academic research topics related to ESG, summary texts of ESG-related academic papers were collected on the RISS site, and topic modeling and semantic network-based text analysis were performed. The article confirms an increasing interest in ESG from both social and academic perspectives. However, there is a slight disparity between the two, with social trends related to ESG management gaining attention from larger companies and then spreading to small and medium-sized enterprises, while academic research on ESG tends to focus mainly on the concept and principles.

After the 4th industrial revolution, smart logistics has become a hot issue, and scholars in logistics, engineering, transportation, and management are all being led by these changes. There have been an increasing number of studies on smart logistics in recent years, but the research fields of smart logistics are extensive, and it is not easy to distinguish the correlation between research directions and industries. Furthermore, smart logistics is a complex issue, and research on research trends is lacking. Therefore, to fill this research gap, this study aims to identify smart logistics research trends based on text mining and network analysis techniques using various software such as R, UCINET, and Power BI under the background of big data. Using these big data techniques, it is possible to grasp and analyze smart logistics research trends more objectively and generally. In addition, it is expected to be a good reference for future research.

Purpose: The purpose of this study was to identify a research trend of studies related to the Do-Not-Resuscitate (DNR) decision makingprocess in Korea. Methods: Assessing through five computerized databases, 889 studies were reviewed and of these 32 were included. An integrative literature review and text network analysis were applied to examine the research. The keywords from each article’sabstracts were extracted by using a program, KrKwic. Results: The number of studies on DNR decision has been increasing, especiallysince 2011. A descriptive study design (59%) was most commonly used in the research. In relation to factors affecting DNR decision,97% of the studies stated patient factors and 66% stated family factors. ‘Patient’, ‘DNR’, ‘decision’, ‘treatment’, ‘life’, ‘family’ were themajor keywords, and ‘patient’ and ‘care’ were dominant keywords that ranked high in coappearance frequency. Conclusion: Studiesrelated to DNR decision have been increasing, and themes of the studies have also been broader. Further research is required to investigatefactors affecting DNR decision in specific populations such as cancer patients, the elderly, patients with end-stage of chronic diseasesetc. Moreover, a comparative study is necessary to define differences of research trends related to DNR decision making processbetween Korea and other countries.

본 연구는 동일한 맥락으로 인식되어 오던 학교사회복지와 교육복지에 대해, 관련된 연구주제 논문의 경향을 비교 분석하고 최근의 연구동향을 파악하는 것을 목적으로 한다. 분석을 위해 데이터베이스를 이용하여 우리나라에서 학교사회복지가 처음 시행된 1993년부터 2018년까지 발행된 국내 학술논문을 수집하였다. 수집된 2,423편의 논문 중에서 연구목적에서 벗어나거나 중복된 논문들을 제외하고 최종적으로 총 562편의 학술논문을 선정하였다. 논문의 초록을 대상으로 하여 텍스트 네트워크 분석 방법을 적용한 주요 연구결과는 다음과 같다. 첫째, 분석대상 학술논문에서 학교사회복지 관련 연구주제 논문은 206편이며, 교육복지 관련 연구주제 논문은 356편이었다. 교육복지투자우선지역지원사업(2003년)과 교육복지우선지원사업(2011년)의 실시를 기준으로 세 개의 시기별로 나누어 살펴본 출판 편수는 학교사회복지 관련 논문이 각각 48편, 93편, 65편이었고, 교육복지 관련 논문이 각각 8편, 125편, 223편이었다. 둘째, 학교사회복지 연구주제 논문과 교육복지 연구주제 논문은 중첩되는 영역과 고유한 영역이 나타났다. 가장 뚜렷한 경계가 나타나는 고유한 주제는 학교사회복지 영역의 ‘가족에 대한 사회복지사의 개입’과 교육복지 영역의 ‘취약 계층에 대한 학습권 보장을 위한 운영’이었다. 셋째, 학교사회복지 관련 논문의 시기별 특성은 1기에 ‘학교사회복지의 발전 및 확대’, 2기에 ‘학생의 학교생활에 대한 적응’, 그리고 3기에 ‘폭력과 갈등을 예방하고 관리하기 위한 학교사회복지의 적용’으로 나타났다. 교육복지 관련 논문의 시기별 특성은 각각 ‘교육복지사업의 구축’, ‘교육복지 운영의 원리’, 그리고 ‘수행과 실천에 따른 변화와 효과의 확인’으로 나타났다. 넷째, 최근 연구의 동향 파악을 위해 분석하여 도출된 하위주제 그룹은 ‘프로그램의 효과’, ‘실천으로서의 교육복지’, 그리고 ‘정책으로서의 교육복지’ 클러스터로 나타났다. 이상의 결과를 바탕으로 학교사회복지 연구와 교육복지 연구의 현재 위치를 파악하고 미래 연구의 방향에 대한 시사점을 도출하였다.

This study set out to compare the trends of research papers on school social welfare and educational welfare, which had been recognized in the same vein in Korea, and to analyze the recent trends in these areas. Korean academic papers published from 1993 to 2018 were collected by using databases. A total of 562 academic papers were selected in the end, excluding papers that were not suitable for the research purpose or overlapped. The followings were the main findings applied to the text network analysis. First, there were 206 papers on school social welfare and 356 papers on educational welfare. Second, the most distinct differences in the two areas were ‘social workers’ intervention in families’ and ‘operations to guarantee learning rights for vulnerable groups’. Third, characteristics of school social welfare papers according to the times were ‘development and expansion of school social welfare’, ‘adaptation of students’ school life’, and ‘applying school social welfare to prevent and manage violences or conflicts in schools’, respectively. Also, characteristics of educational welfare papers according to the times were ‘construction of educational welfare programs’, ‘principles of educational welfare operations’, and ‘confirming the effectiveness and change after implementation and practice’, respectively. Lastly, the sub-topics of recent research trends were ‘effects of programs’, ‘educational welfare as a practice’, and ‘educational welfare as a policy’. Based on the above results, the current position of school social welfare research and educational welfare research was identified, and implications for the direction of future research were derived.

본 연구의 목적은 텍스트 네트워크 분석을 통해 2012년부터 2021년까지 10년 동안 언론에 보도된 ‘과로사’ 기사의 주요 이슈를 살펴보고, 이것이 우리 사회에 주는 시사점을 제시하는 것이다. 이를 위하여 한국언론진흥재단에서 운영하는 빅카인즈(Big Kinds) 데이터베이스를 통해 ‘과로사’를 키워드로 검색하여 52개 언론사로부터 1,340건의 기사를 수집했다. 수집된 자료는 NetMiner 4를 활용하여 다음의 분석 과정을 걸쳤다. 첫째, 단어의 중요도를 직관적으로 이해하기 위해 빈도 기반 워드 클라우드와 TF-IDF 기반 워드 클라우드를 표시하고 그 차이점을 비교했다. 둘째, 토픽 모델링을 수행하여 5개의 토픽을 구성했다. 셋째, 선정된 토픽을 워드 네트워크를 이용하여 시각화했고, 각 토픽에 속하는 키워드의 내용타당도를 확인하기 위해 기사 원문을 인용했다. 넷째, 연도별 토픽 비중의 변화 추이를 살펴보았다. 끝으로, 분석 결과를 바탕으로 한국의 과로사 이슈에서 얻는 시사점을 ‘한국형 절망사’ 관점에서 논의하고, 과로사 문제를 해결하기 위한 정책 및 실천적 제안을 추가하였다.

The purpose of the study was to examine the key issues of ‘ death from overwork’ articles reported in the media for ten years from 2012 to 2021 using text network analysis, and to suggest implications for our society. To this end, 1,340 articles were collected from 52 media companies with the keyword ‘ death from overwork’ through the Big Kinds database operated by the Korea Press Foundation. The collected data was analyzed using NetMiner 4 as follows. First, in order to intuitively understand the importance of words, the frequency-based word cloud and the TF-IDF-based word cloud were displayed and their differences were compared. Second, five topics were composed by performing topic modeling. Third, the selected topics were visualized using a word network, and the original articles were cited to confirm the content validity of key words belonging to each topic. Fourth, the trend of changes in the proportion of topics by year was examined. Finally, based on the results of the analysis, the implications of death from overwork were discussed in terms of the ‘ Korean version of death of despair’, and policy and practical suggestions were added to resolve the issue of death from overwork.

Purpose: The purpose of this study was to identify the knowledge structure of Asian Oncology Nursing (AON) from 2002 to 2018. Methods: Abstracts from 382 studies were reviewed and analyzed using the text network analysis program, NetMiner 4.3. Keywords network trends were compared before and after 2012 when the journal title changed from Journal of Korean Oncology Nursing to Journal of Asian Oncology Nursing. Results: ‘Cancer,’ ‘patient,’ ‘quality of life,’ ‘breast,’ ‘nurse,’ ‘depression,’ ‘health,’ ‘nursing,’ ‘pain,’ ‘family’ were the top 10 most frequent keywords, and ‘cancer,’ ‘patient,’ ‘quality of life,’ ‘health,’ ‘nursing,’ ‘family,’ ‘intervention,’ ‘effect,’ ‘hospital,’ and ‘therapy’ were the dominant keywords that ranked highest in co-appearance frequency. Core keywords changed before and after 2012. After 2012, depression, health, symptom and pain were the keywords ranked that replaced nursing, education, family, and intervention from before 2012. Four subtopic groups were identified: 1) cancer treatment, education and information, 2) chemotherapy and psychological adjustment, 3) psychosocial adjustment of cancer survivors, and 4) process of cancer intervention and support. Conclusion: This study provides a general overview of research trends of the Asian Oncology Nursing Society. Findings of this study may guide future research directions in Asian Oncology Nursing research.

Purpose: This study aimed to identify and compare research topics related to disclosure of cancer diagnosis among Korea and other countries using text network analysis. Methods: Abstracts from 119 studies for the period of 2000~2015 were analyzed. An integrative literature review and text network analysis were applied to examine the research. The keywords from each article’s abstracts were extracted by using a program, KrKwic, and analyzed using network-related measures including degree centrality, and clustering using the NetMiner program. Results: The most important core keywords; ‘patient’, ‘cancer’, ‘diagnosis’, ‘disclosure’, ‘truth’, ‘physician’, ‘family’, ‘telling’, ‘information’, ‘preference’, ‘member’, ‘age’, and ‘tell’ ranked highly. Asian countries as Korea, Japan, and China showed a similar high centrality of degree of connection in family, which appeared as a factor that influences cancer diagnosis disclosure. Conclusion: These findings showed knowledge structure of disclosure of cancer diagnosis and its research trends. The 11 topics identified in this comparative study can provide further starting points for research of communication with cancer patients and their family.

Purpose: This study tried to understand discourses of life-sustaining treatments in general daily and healthcare newspapers. Methods: A text-network analysis was conducted using the NetMiner program. Firstly, 572 articles from 11 daily newspapers and 258 articles from 8 healthcare newspapers were collected, which were published from August 2013 to October 2016. Secondly, keywords (semantic morphemes) were extracted from the articles and rearranged by removing stop-words, refining similar words, excluding non-relevant words, and defining meaningful phrases. Finally, co-occurrence matrices of the keywords with a frequency of 30 times or higher were developed and statistical measures―indices of degree and betweenness centrality, ego-networks, and clustering―were obtained. Results: In the general daily and healthcare newspapers, the top eight core keywords were common: “patients,” “death,” “LST (life-sustaining treatments),” “hospice palliative care,” “hospitals,” “family,” “opinion,” and “withdrawal.” There were also common subtopics shared by the general daily and healthcare newspapers: withdrawal of LST, hospice palliative care, National Bioethics Review Committee, and self-determination and proxy decision of patients and family. Additionally, the general daily newspapers included diverse social interest or events like well-dying, euthanasia, and the death of farmer Baek Nam-ki, whereas the healthcare newspapers discussed problems of the relevant laws, and insufficient infrastructure and low reimbursement for hospice-palliative care. Conclusion: The discourse that withdrawal of futile LST should be allowed according to the patient’s will was consistent in the newspapers. Given that newspaper articles influence knowledge and attitudes of the public, RNs are recommended to participate actively in public communication on LST.

본 연구의 목적은 북한의 도서관운영방법연구소가 간행한 2년간의 「도서관일군 참고자료」(2016~2017)를 대상으로 텍스트 네트워크 분석을 시도해 보는데 있다. 텍스트 네트워크 분석은 단순 단어의 빈도분석을 뛰어넘어 단어 간의 연결성과 관계성을 파악하여 특정 단어가 얼마나 중요한 위치를 차지하는지를 측정할 수 있으며, 특정 사회현상에 대한 해석과 시사점 도출도 가능하다, 본 연구에서는 용어의 빈도분석, 연결중심성 분석, 매개중심성 분석, 군집분석을 통한 분석이 이루어졌다. 「도서관일군 참고자료」의 텍스트 네트워크 분석 결과 북한의 도서관을 이해하는데 있어서 가장 중요한 용어들은 ‘리용자’, ‘정보봉사’, ‘정보요구’, ‘정보기술’, ‘과학기술’, ‘사회적학습’, ‘콤퓨터’, ‘자료기지’, ‘정보수집’, ‘정보검색’, ‘도서관일군’ 등의 순으로 나타났다.

The purpose of this study is to attempt a text network analysis for two years of 「Reference Materials for Librarian」(2016-2017) published by the Library Operation Methodology Research Institute in North Korea. A text network analysis can measure how important a particular word by grasping the connectivity and relationship between words beyond a simple word frequency analysis, and it is also possible to interpret specific social phenomena and derive implications. Frequency, degree centrality, the betweenness centrality, community analysis of the collected words were calculated using NetMiner. As a result, the terms ‘users’, ‘information services’, ‘information needs’, ‘information technology’, ‘social learning’, ‘computers’, ‘databases’, ‘information acquisition’, ‘information retrieval’ and ‘librarian’ were appeared as important ones in understanding North Korean libraries.