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한국정보시스템학회> 정보시스템연구> 연관규칙 분석을 통한 ESG 우려사안 키워드 도출에 관한 연구

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연관규칙 분석을 통한 ESG 우려사안 키워드 도출에 관한 연구

A Study on the Keyword Extraction for ESG Controversies Through Association Rule Mining

안태욱 ( Ahn Tae Wook ) , 이희승 ( Lee Hee Seung ) , 이준서 ( Yi June Suh )
  • : 한국정보시스템학회
  • : 정보시스템연구 30권1호
  • : 연속간행물
  • : 2021년 03월
  • : 123-149(27pages)
정보시스템연구

DOI


목차

Ⅰ. 서론
Ⅱ. 이론적 배경
Ⅲ. 연구방법
Ⅳ. 분석결과
Ⅴ. 결론 및 시사점
참고문헌

키워드 보기


초록 보기

Purpose
The purpose of this study is to define the anti-ESG activities of companies recognized by media by reflecting ESG recently attracted attention. This study extracts keywords for ESG controversies through association rule mining.
Design/methodology/approach
A research framework is designed to extract keywords for ESG controversies as follows: 1) From DeepSearch DB, we collect 23,837 articles on anti-ESG activities exposed to 130 media from 2013 to 2018 of 294 listed companies with ESG ratings 2) We set keywords related to environment, social, and governance, and delete or merge them with other keywords based on the support, confidence, and lift derived from association rule mining. 3) We illustrate the importance of keywords and the relevance between keywords through density, degree centrality, and closeness centrality on network analysis.
Findings
We identify a total of 26 keywords for ESG controversies. ‘Gapjil’ records the highest frequency, followed by ‘corruption’, ‘bribery’, and ‘collusion’. Out of the 26 keywords, 16 are related to governance, 8 to social, and 2 to environment. The keywords ranked high are mostly related to the responsibility of shareholders within corporate governance. ESG controversies associated with social issues are often related to unfair trade. As a result of confidence analysis, the keywords related to social and governance are clustered and the probability of mutual occurrence between keywords is high within each group. In particular, in the case of “owner’s arrest”, it is caused by “bribery” and “misappropriation” with an 80% confidence level. The result of network analysis shows that ‘corruption’ is located in the center, which is the most likely to occur alone, and is highly related to ‘breach of duty’, ‘embezzlement’, and ‘bribery’.

UCI(KEPA)

I410-ECN-0102-2022-300-000579154

간행물정보

  • : 사회과학분야  > 경영학
  • : KCI등재
  • :
  • : 계간
  • : 1229-8476
  • : 2733-8770
  • : 학술지
  • : 연속간행물
  • : 1992-2022
  • : 919


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저자 : 이태복 ( Lee Tae Bok ) , 백승령 ( Baek Seung Nyoung )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 1호 발행 연도 : 2022 페이지 : pp. 1-24 (24 pages)

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Purpose
The purpose of this study is to investigate the factors that affect the user satisfaction and continuous use intention of the improved ATCIS in the Korean Army.
Design/methodology/approach
Based on the various theories in relation to IT continuance, user satisfaction was identified as the main factor with regard to the continuous use intention of the improved ATCIS. In addition, computer self-efficacy, education-training, and system quality were hypothesized as antecedent variables to user satisfaction, and information security stress was set as a moderating variable for these relationships.
Findings
Survey results show that computer self-efficacy, education and training, and system quality had a positive effect on user satisfaction, and information security stress was found to moderate these relationships. The effects of computer self-efficacy and education-training on user satisfaction were higher in the group with low information security stress. However, the relationship between system quality and user satisfaction was higher in the group with high information security stress. User satisfaction is found to have a positive effect on the continuous use intention even with habit considered as a control variable.

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2중소·중견 제조기업 RPA 도입을 위한 사례 탐색 연구

저자 : 강영식 ( Kang Young Sik ) , 심선영 ( Shim Seon Young )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 1호 발행 연도 : 2022 페이지 : pp. 25-58 (34 pages)

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Purpose
The purpose of this study is to analyzes the RPA fitting processes by the casese of manufacturing SMEs(Small and Medium-sized Enterprises) in an exploraty approach. Based on the findings on the RPA fitting processes, we intend to provide a cornerstone for developing a general-purpose RPA introduction model in the future.
Design/methodology/approach
In this study, empirical cases of RPA fitting processes were analyzed based on interviews with project managers of specialized IT suppliers in charge of RPA development and managers of IT departments of manufacturing SMEs that actually introduced RPA. In order to explore various RPA fitting process in the manufacturing value chain, a total of 7 manufacturing SMEs were interviewed, ranging from companies using a legacy system to companies without a legacy system. Over the primary and secondary activity processes, the details of RPA processes were analyzed in the steps of 'Frequency Identification, Input Processing, Source Identification, Inquiry and Processing, Information Registration, Result Reporting'.
Findings
From the analysis, we derived some exploratory results that the processes over 0.25 FTE and related with many suppliers and clients are fitting for RPA introduction in manufacturing SMEs Our results will provide basic data for the development of the future general-purpose RPA introduction model for manufacturing SMEs, providing practical reference for RPA introduction.

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3온라인 플랫폼의 분류 프레임워크 : 국내 플랫폼 사례연구를 중심으로

저자 : 강형구 ( Kang Hyoung Goo ) , 강창모 ( Kang Chang-mo ) , 전성민 ( Jeon Seong Min )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 1호 발행 연도 : 2022 페이지 : pp. 59-90 (32 pages)

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Purpose
This paper presents a new method of classifying online platforms. It also explains how to apply the framework using case studies and generate new insight about platform strategies and policy development.
Design/methodology/approach
This paper focuses on the relationship between platforms, especially the hierarchy and power relations, and broadly classifies platforms as follows: content/services, meta information, app stores, operating systems, and cloud. Both the content/service platform and the meta information platform have matching as their main function. However, most content/services tend to collect and access information through meta-information platforms, so meta-information platforms are closer to infrastructure than content/service platforms. App store, operating system, and cloud can be said to be platforms of platforms. A small number of companies in the US and China dominate platforms of platforms, and become the recent development and regulatory targets of their respective governments.
Findings
We should be wary of the attempts to regulate domestic platforms by importing foreign regulations that ignore the hierarchical structure that our framework highlights. We believe that Korea's strategy to become a true platform powerhouse is clear. As one of the few countries with significant companies in the area of meta information platforms, it will be necessary to fully utilize the position and advance into the strategically important area of platforms of platforms. Furthermore, it is necessary to encourage world-class companies to appear in Korea in the app store, operating system, and cloud. To do so, the government needs to introduce promotion policies to strategically nurture such platforms rather than to regulate them.

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4무인점포의 서비스스케이프가 소비자 행동의도에 미치는 영향

저자 : 강성배 ( Kang Sung Bae ) , 김효진 ( Kim Hyo Jin )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 1호 발행 연도 : 2022 페이지 : pp. 91-113 (23 pages)

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Purpose
In the era of the 4th industrial revolution, the introduction of unmanned stores is rapidly spreading throughout the entire distribution market. Unmanned stores are stores where consumers purchase products on their own through machines and not through contact with people. As there are no managers in unmanned stores, Servicescape is expected to have many effects on the purchasing behavior of consumers. Therefore, this study aims to observe the effect of Servicescape on consumer behavioral intentions.
Design/methodology/approach
This study wanted to look at the relationships among Servicescape in unmanned stores, utilitarian values, hedonic values, satisfaction, and continuous use intentions. The collected(n=211) from individuals who have experienced in using unmanned stores was analyzed with SmartPLS2.0 to test proposed hypotheses.
Findings
The research results are as follows. First, it was shown that the space, convenience, and comfortableness of Servicescape have positive effects on utilitarian value, and cleanliness did not have significant effects on utilitarian value. Second, it was shown that space and comfortableness had positive effects on hedonic value, and convenience and cleanliness did not have significant effects on hedonic value. Lastly, it was shown that utilitarian values and hedonic values have positive effects on satisfaction, and satisfaction was found to have positive effects on continuous use intentions.

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5연속형 중심-주변 네트워크 모형을 통한 세대 간 세대 내 디지털 격차 해소를 위한 전략 도출

저자 : 유인진 ( Yoo In Jin ) , 하상집 ( Ha Sang Jip ) , 박도형 ( Park Do Hyung )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 1호 발행 연도 : 2022 페이지 : pp. 115-146 (32 pages)

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Purpose
The purpose of this study is to find meaningful insights using regression analysis to resolve the digital divide between generations. In the analysis process of this study, social network analysis was applied to approach it with a perspective differentiated from the existing statistical techniques.
Design/methodology/approach
This study used a social network analysis methodology that transforms and analyzes government-led survey data into relational data. First, the cross-sectional data were converted into relational data, and a continuous core-periphery model and multidimensional scaling method were applied. Afterwards, the relationship between various factors affecting the digital divide and the difference in influence were analyzed by generation.
Findings
According to the network analysis results, it can be seen that all generations commonly use 'information and news search' and 'living information service'. However, it can be seen that the centrally used services of each generation are clearly different from each other, and the degree of linkage between the services is also clearly different. In addition, it can be seen that the relationship between factors influencing the digital divide by generation is also different.

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6린스타트업 기법을 활용한 유튜브 인플루언서의 창업전략

저자 : 박정선 ( Park Jeong Sun ) , 박상혁 ( Park Sang Hyeok ) , 김영락 ( Kim Young Lag )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 1호 발행 연도 : 2022 페이지 : pp. 147-173 (27 pages)

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Purpose
As the use of social network services has become common, it has become possible to freely communicate and establish relationships with other people anytime, anywhere for communication and information sharing. Influencers who have a strong influence on consumers' perceptions and attitudes through their own opinions and stories have appeared on various social media channels such as YouTube. Recently, companies utilize influencers with a large number of followers to check interactions with customers to understand customer attitudes and opinions about products in real time. Start-ups with insufficient resources need to quickly examine customer responses to reduce the probability of failure after product planning. The Lean process of creating an MVP and quickly confirming and learning the market response should be repeated over and over again.
Findings
In this paper, we try to suggest that the YouTube platform can play a sufficient role as a customer experiment space through examples. The case company is a company that has successfully commercialized products by continuously interacting with customers through the YouTube platform for the first four months of its founding. This paper is expected to be helpful in the experimental process for prospective founders and early founders to examine customer responses to reduce the probability of market failure before commercialization.
Design/methodology/approach
This paper analyzed the YouTube channel data of case companies based on the netnography methodology and presented the contents of the lean process management carried out in the experimental stage and the post-production stage through interview research.

KCI등재

7언론은 인공지능(AI)을 어떻게 다루는가?: 뉴스 빅데이터를 통한 한국과 미국의 보도 경향 분석

저자 : 박종화 ( Park Jong Hwa ) , 김민성 ( Kim Min Sung ) , 김정환 ( Kim Jung Hwan )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 1호 발행 연도 : 2022 페이지 : pp. 175-195 (21 pages)

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Purpose
The purpose of this study is to examine news articles and analyze trends and key agendas related to artificial intelligence(AI). In particular, this study tried to compare the reporting behaviors of Korea and the United States, which is considered to be a leader in the field of AI.
Design/methodology/approach
This study analyzed news articles using a big data method. Specifically, main agendas of the two countries were derived and compared through the keyword frequency analysis, topic modeling, and language network analysis.
Findings
As a result of the keyword analysis, the introduction of AI and related services were reported importantly in Korea. In the US, the war of hegemony led by giant IT companies were widely covered in the media. The main topics in Korean media were 'Strategy in the 4th Industrial Revolution Era', 'Building a Digital Platform', 'Cultivating Future human resources', 'Building AI applications', 'Introduction of Chatbot Services', 'Launching AI Speaker', and 'Alphago Match'. The main topics of US media coverage were 'The Bright and Dark Sides of Future Technology', 'The War of Technology Hegemony', 'The Future of Mobility', 'AI and Daily Life', 'Social Media and Fake News', and 'The Emergence of Robots and the Future of Jobs'. The keywords with high centrality in Korea were 'release', 'service', 'base', 'robot', 'era', and 'Baduk or Go'. In the US, they were 'Google', 'Amazon', 'Facebook', 'China', 'Car', and 'Robot'.

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8국내 중소기업의 스마트공장 구축을 위한 조직역량과 조직성과에 관한 연구

저자 : 서판종 ( Seo Pan Jong ) , 김동희 ( Kim Dong Hui ) , 문태수 ( Moon Tae Soo )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 1호 발행 연도 : 2022 페이지 : pp. 197-218 (22 pages)

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Purpose
This study examines the roles of firm-level smart factory implementation in the relationship between organizational competence and organizational performance in the context of Korean small and medium Enterprises (SMEs). To achieve this goal, this study presents and empirically tests a research model with evaluation data conducted by industrial experts on how organizational competence can be exploited to positively influence organizational performance through smart factory implementation.
Design/methodology/approach
Organizational competence are based on the research construct developed by Odważny et al.(2018). Research constructs on smart factory are based on the measurement model developed by Korea Technology and Information Promotion Agency for Korea small and medium Enterprises (TIPA) (2020) and organizational performance are based on the performance construct developed by Kwon(2019). To complete the investigation, we collected 31 firm data conducted by industrial experts in Korea from Dec 2018 to Dec 2020. Most of firm was implemented officially by government budget granted for smart factory of Korea SMEs. To test our hypotheses, partial least squares (PLS) method was employed.
Findings
The findings indicate that organizational competence is antecedent to influence smart factory implementation, while smart factory implementation has significant relationship with organizational performance. This study provides a better understanding of the connection between organizational competence and organizational performance through smart factory implementation. So companies should focus on enhancing organizational competence and implementing smart factory to obtain sustainable competitiveness.

KCI등재

9메타버스 특성요인과 학습 몰입 및 학습 만족도 간의 구조적 관계 분석: 게더타운을 대상으로

저자 : 김나랑 ( Kim Na Rang )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 1호 발행 연도 : 2022 페이지 : pp. 219-238 (20 pages)

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Purpose
The purpose of this study is to investigate the structural relationships between interest, interaction level, presence, which are the characteristics of metaverse, learning immersion, and learning satisfaction, which are learning factors.
Design/methodology/approach
A questionnaire survey technique was used to achieve the purpose of the study. A questionnaire survey was conducted from November 22 to December 5, 2021, with students with experience in non-face-to-face classes using Gather Town and a total of 114 copies of the questionnaire excluding those with insincere answers were used for empirical analysis. SPSS Win ver.23.0 was used for basic statistical analysis, and AMOS 22.0 was used for the establishment and analysis of a structural equation model.
Findings
According to the study findings, interest and interaction levels had effects on learning immersion and learning presence, self-efficacy on learning presence, and learning immersion and learning presence on learning satisfaction. This study is meaningful in that it conducted an empirical study to find variables for improving learning immersion by conducting classes based on metaverse. Based on the findings of this study, it was found that interest and interaction, which are the biggest characteristics of metaverse, sustain learning participation and immersion and increase presence thereby enhancing learning satisfaction so that the possibilities of metaverse as a next generation education platform passing the limit of existing real time video platforms can be peeped.

KCI등재

10PLM 시스템 활용도 향상 방안의 중요도에 관한 연구

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발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 1호 발행 연도 : 2022 페이지 : pp. 239-269 (31 pages)

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Purpose
This paper attempts to identify items for improving the usage of PLM(Product Lifecycle Management) systems and suggests ways to prioritize improvement items on the basis of importance. It also tries to find out differences in the importance of improvement items due to the company size, the industry, the job, or the PLM solution.
Design/methodology/approach
Through a survey from participants to a PLM System Conference, data were collected from a sample of 181 users who had the previous experience in using a PLM system. In order to figure out the differences in the importance among user groups, the F-test with the Scheffe test as a post-hoc analysis was used in case of equal variances and the Welch test with the Dunnett T3 test was used in case of unequal variances.
Findings
This study sorted out 25 improvement ideas according to their importance assessed by the PLM system users. The top five ideas are improving data consistency, error minimization, fast system response time, enhancing user recognition, and business process improvement. The support group puts higher importance than the general user group in data consistency, fast system response time, enhancing user recognition, business process improvement, dedicated team for data consistency, continuous support from management, hardware performance upgrade, output linkage to other systems, and shortening problem solving duration. The largest company group attaches significantly higher weights than the smallest company group to data consistency, error minimization, fast system response time, business process improvement, dedicated team for data consistency, security with proper access management, output linkage to other systems, and better user interface.

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Purpose
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Design/methodology/approach
This study made a design of the research model by integrating the factors deducted from the Value-based Adoption Model and the Innovative Resistance Model with the factors deducted from the Flow Theory.
Findings
Results showed that perceived value had a significant effect on trust and innovative resistance. Moreover, trust had a significant effect on flow and continued use. Finally, innovative resistance and flow had a significant effect on continued use. However, the research model in this study was derived from a behavioral point of view, therefore, this model needs to combine the various factors of related fields.

KCI등재

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저자 : 임혜정 ( Lim Hyae Jung ) , 서창교 ( Suh Chang Kyo )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 1호 발행 연도 : 2021 페이지 : pp. 21-44 (24 pages)

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Purpose
The opportunities and approaches to big data have grown in various ways in the digital era. Business analytics is nowadays an inevitable strategy for organizations to earn a competitive advantage in order to survive in the challenged environments. The purpose of this study is to analyze the intellectual structure of business analytics literature to have a better insight for the organizations to the field.
Design/methodology/approach
This research analyzed with the data extracted from the database Web of Science. Total of 427 documents and 23,760 references are inserted into the analysis program CiteSpace. Author co-citation analysis is used to analyze the intellectual structure of the business analytics. We performed clustering analysis, burst detection and timeline analysis with the data.
Findings
We identified seven sub- areas of business analytics field. The top four sub-areas are “Big Data Analytics Infrastructure”, “Performance Management System”, “Interactive Exploration”, and “Supply Chain Management”. We also identified the top 5 references with the strongest citation bursts including Trkman et al.(2010) and Davenport(2006). Through timeline analysis we interpret the clusters that are expected to be the trend subjects in the future. Lastly, limitation and further research suggestion are discussed as concluding remarks.

KCI등재

3Word2Vec를 이용한 토픽모델링의 확장 및 분석사례

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발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 1호 발행 연도 : 2021 페이지 : pp. 45-64 (20 pages)

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Purpose
The traditional topic modeling technique makes it difficult to distinguish the semantic of topics because the key words assigned to each topic would be also assigned to other topics. This problem could become severe when the number of online reviews are small. In this paper, the extended model of topic modeling technique that can be used for analyzing a small amount of online reviews is proposed.
Design/methodology/approach
The extended model of being proposed in this paper is a form that combines the traditional topic modeling technique and the Word2Vec technique. The extended model only allocates main words to the extracted topics, but also generates discriminatory words between topics. In particular, Word2vec technique is applied in the process of extracting related words semantically for each discriminatory word. In the extended model, main words and discriminatory words with similar words semantically are used in the process of semantic classification and naming of extracted topics, so that the semantic classification and naming of topics can be more clearly performed. For case study, online reviews related with Udo in Tripadvisor web site were analyzed by applying the traditional topic modeling and the proposed extension model. In the process of semantic classification and naming of the extracted topics, the traditional topic modeling technique and the extended model were compared.
Findings
Since the extended model is a concept that utilizes additional information in the existing topic modeling information, it can be confirmed that it is more effective than the existing topic modeling in semantic division between topics and the process of assigning topic names.

KCI등재

4레그테크 기반의 자본시장 규제 해석 온톨로지 및 딥러닝 기술 개발을 위한 제언

저자 : 최승욱 ( Choi Seung Uk ) , 권오병 ( Kwon Oh Byung )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 1호 발행 연도 : 2021 페이지 : pp. 65-84 (20 pages)

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Purpose
Based on the development of artificial intelligence and big data technologies, the RegTech has been emerged to reduce regulatory costs and to enable efficient supervision by regulatory bodies. The word RegTech is a combination of regulation and technology, which means using the technological methods to facilitate the implementation of regulations and to make efficient surveillance and supervision of regulations. The purpose of this study is to describe the recent adoption of RegTech and to provide basic examples of applying RegTech to capital market regulations.
Design/methodology/approach
English-based ontology and deep learning technologies are quite developed in practice, and it will not be difficult to expand it to European or Latin American languages that are grammatically similar to English. However, it is not easy to use it in most Asian languages such as Korean, which have different grammatical rules. In addition, in the early stages of adoption, companies, financial institutions and regulators will not be familiar with this machine-based reporting system. There is a need to establish an ecosystem which facilitates the adoption of RegTech by consulting and supporting the stakeholders. In this paper, we provide a simple example that shows a procedure of applying RegTech to recognize and interpret Korean language-based capital market regulations. Specifically, we present the process of converting sentences in regulations into a meta-language through the morpheme analyses. We next conduct deep learning analyses to determine whether a regulatory sentence exists in each regulatory paragraph.
Findings
This study illustrates the applicability of RegTech-based ontology and deep learning technologies in Korean-based capital market regulations.

KCI등재

5장노년층의 디지털기기 이용태도가 삶의 만족도에 미치는 영향 : 디지털기기 이용성과의 매개효과

저자 : 김수경 ( Kim Su Kyoung ) , 신혜리 ( Shin Hye Ri ) , 김영선 ( Kim Young Sun )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 1호 발행 연도 : 2021 페이지 : pp. 85-104 (20 pages)

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Purpose
This study aims to verify the mediating effect of the utilization performance of digital device on the relationship between user attitude and life satisfaction.
Design/methodology/approach
Using the data of 2018 Digital Divide Survey conducted by the National Information Society Agency(NIA), the mediating effect was verified by Baron & Kenny (1986) 's 3 step process, targeting 1,662 adults older than 55.
Findings
The result is as follows: first, the user attitude of middle and older aged people has a positive effect on their life satisfaction. Second, the effect of user Attitude towards Digital Device of middle and older citizens is partially mediated by the utilization performance of digital device. The results of this study indicate that when providing informatization education in the local community to promote the use of digital devices for the elderly, efforts should be made to grasp the level and inclination of informatization individually, and furthermore present improvements for wireless devices that the elderly can easily access in their daily lives. This study is expected to be a groundwork for a practical intervention to boost positive attitude towards using digital device to enhance the utilization performance of digital device and the life satisfaction of middle and older aged people.

KCI등재

6디지털그림자노동의 분류와 동태성 및 연구 방향

저자 : 이웅규 ( Lee Woong Kyu )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 1호 발행 연도 : 2021 페이지 : pp. 105-121 (17 pages)

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Purpose
Today, through digital services, many people enjoy a conveient and comfortable life. Nevertheless, it is easy to find people in our daily lives who are buried in work without any payment that we did not do before digital services. Such un-payed works under digital environment are called digital shadow works. The purpose of this study is to classification and dynamics of digital shadow works and to suggest research direction.
Design/methodology/approach
Based on two dimension, voluntary participation ('should' type and 'want' type) and work orientation (management-operation), digital shadow works were classified into four categories - chore, makeup, routine, and quest.
Findings
In digital shadow work there are four types of dynamics - routine and quest, makeup and chore, makeup and quest, and quest and actions in offline. According to the classification and analysis of dynamics, three research directions in digital shadow work are suggested and discussed- digital shadow works operation mechanism considering dynamics, expansion of existing user theories based on survey method by digital shadow works and social influences by digital shadow works.

KCI등재

7연관규칙 분석을 통한 ESG 우려사안 키워드 도출에 관한 연구

저자 : 안태욱 ( Ahn Tae Wook ) , 이희승 ( Lee Hee Seung ) , 이준서 ( Yi June Suh )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 1호 발행 연도 : 2021 페이지 : pp. 123-149 (27 pages)

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Purpose
The purpose of this study is to define the anti-ESG activities of companies recognized by media by reflecting ESG recently attracted attention. This study extracts keywords for ESG controversies through association rule mining.
Design/methodology/approach
A research framework is designed to extract keywords for ESG controversies as follows: 1) From DeepSearch DB, we collect 23,837 articles on anti-ESG activities exposed to 130 media from 2013 to 2018 of 294 listed companies with ESG ratings 2) We set keywords related to environment, social, and governance, and delete or merge them with other keywords based on the support, confidence, and lift derived from association rule mining. 3) We illustrate the importance of keywords and the relevance between keywords through density, degree centrality, and closeness centrality on network analysis.
Findings
We identify a total of 26 keywords for ESG controversies. 'Gapjil' records the highest frequency, followed by 'corruption', 'bribery', and 'collusion'. Out of the 26 keywords, 16 are related to governance, 8 to social, and 2 to environment. The keywords ranked high are mostly related to the responsibility of shareholders within corporate governance. ESG controversies associated with social issues are often related to unfair trade. As a result of confidence analysis, the keywords related to social and governance are clustered and the probability of mutual occurrence between keywords is high within each group. In particular, in the case of “owner's arrest”, it is caused by “bribery” and “misappropriation” with an 80% confidence level. The result of network analysis shows that 'corruption' is located in the center, which is the most likely to occur alone, and is highly related to 'breach of duty', 'embezzlement', and 'bribery'.

KCI등재

8항공기 제조업에서 생산계획 동기화를 통한 데이터기반 구매조달 및 재고관리 방안 연구

저자 : 유경열 ( Yu Kyoung Yul ) , 최홍석 ( Choi Hong Suk ) , 정대율 ( Jeong Dae Yul )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 1호 발행 연도 : 2021 페이지 : pp. 151-177 (27 pages)

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Purpose
This paper aims to improve management performance by effectively responding to production needs and reducing inventory through synchronizing production planning and procurement in the aviation industry. In this study, the differences in production planning and execution were first analyzed in terms of demand, supply, inventory, and process using the big data collected from a domestic aircraft manufacturers. This paper analyzed the problems in procurement and inventory management using legacy big data from ERP system in the company. Based on the analysis, we performed a simulation to derive an efficient procurement and inventory management plan. Through analysis and simulation of operational data, we were able to discover procurement and inventory policies to effectively respond to production needs.
Design/methodology/approach
This is an empirical study to analyze the cause of decrease in inventory turnover and increase in inventory cost due to dis-synchronize between production requirements and procurement. The actual operation data, a total of 21,306,611 transaction data which are 18 months data from January 2019 to June 2020, were extracted from the ERP system. All them are such as basic information on materials, material consumption and movement history, inventory/receipt/shipment status, and production orders. To perform data analysis, it went through three steps. At first, we identified the current states and problems of production process to grasp the situation of what happened, and secondly, analyzed the data to identify expected problems through cross-link analysis between transactions, and finally, defined what to do. Many analysis techniques such as correlation analysis, moving average analysis, and linear regression analysis were applied to predict the status of inventory. A simulation was performed to analyze the appropriate inventory level according to the control of fluctuations in the production planing. In the simulation, we tested four alternatives how to coordinate the synchronization between the procurement plan and the production plan. All the alternatives give us more plausible results than actual operation in the past.
Findings
Based on the big data extracted from the ERP system, the relationship between the level of delivery and the distribution of fluctuations was analyzed in terms of demand, supply, inventory, and process. As a result of analyzing the inventory turnover rate, the root cause of the inventory increase were identified. In addition, based on the data on delivery and receipt performance, it was possible to accurately analyze how much gap occurs between supply and demand, and to figure out how much this affects the inventory level. Moreover, we were able to obtain the more predictable and insightful results through simulation that organizational performance such as inventory cost and lead time can be improved by synchronizing the production planning and purchase procurement with supply and demand information. The results of big data analysis and simulation gave us more insights in production planning, procurement, and inventory management for smart manufacturing and performance improvement.

KCI등재

9인플루언서 속성이 유튜브 정보수용과 구매의도에 미치는 영향

저자 : 박소진 ( Park So Jin ) , 오창규 ( Oh Chang Gyu )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 1호 발행 연도 : 2021 페이지 : pp. 179-204 (26 pages)

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Purpose
The purpose of this study is to suggest a research model that shows how Youtube influencers affect consumers' Youtube information adoption and purchase intention. Generally, a communicator's character has a significant effect on the persuasiveness of the message. This study segments influencer characteristics into five dimensions and explores the effect of five characteristics on perceived usefulness of information, perceived enjoyment, information adoption, and purchase intention.
Design/methodology/approach
This study suggests a structural equation model that explains the casual relationship between the five dimensions of Youtuber characteristics and perceived usefulness of information, perceived enjoyment, information adoption, and purchase intention.
Findings
There are little research on what and how the characteristics of a Youtube influencer can affect consumers' information adoption and purchase intention of the product. This study is significant in that it provides a research model that examines the effect of Youtuber characteristics on consumers' information adoption and purchase intention. This research discovered that the dimensions of trustworthiness and attractiveness of influencer affect information adoption and purchase intention through the mediate variables.

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