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한국정보시스템학회> 정보시스템연구> 저자동시인용분석에 의한 Business Analytics 분야의 지적 구조 분석: 2002 ~ 2020

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저자동시인용분석에 의한 Business Analytics 분야의 지적 구조 분석: 2002 ~ 2020

The Intellectual Structure of Business Analytics by Author Co-citation Analysis : 2002 ~ 2020

임혜정 ( Lim Hyae Jung ) , 서창교 ( Suh Chang Kyo )
  • : 한국정보시스템학회
  • : 정보시스템연구 30권1호
  • : 연속간행물
  • : 2021년 03월
  • : 21-44(24pages)
정보시스템연구

DOI


목차

Ⅰ. 서 론
Ⅱ. 선행 연구
Ⅲ. 연구 방법
Ⅳ. 연구 결과
Ⅴ. 결론
참고문헌

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초록 보기

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.

UCI(KEPA)

간행물정보

  • : 사회과학분야  > 경영학
  • : KCI등재
  • :
  • : 계간
  • : 1229-8476
  • : 2733-8770
  • : 학술지
  • : 연속간행물
  • : 1992-2021
  • : 893


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1How Companies Persuade Active Participation of Consumers on Live Streaming Commerce? S-O-R Perspective

저자 : 장수평 ( Zhang¸ Xiu Ping ) , 최재원 ( Choi¸ Jae Won )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 3호 발행 연도 : 2021 페이지 : pp. 1-20 (20 pages)

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Purpose
Live streaming commerce refers to the fact that people receive live audio and live video directly over the net. While some e-retailers use Live Streaming as a marketing strategy, the impact of live streaming commerce on customers' reuse intentions is unknown. The purpose of this study is to discuss the impact of live streaming commerce by external environmental factors based on S-O-R theory.
Design/methodology/approach
In this study, we developed a research model based on the S-O-R theory. Using the questionnaire survey method, consumers who used live streaming commerce on Taobao.com were taken as research subjects. Our research model aims to find out how content attributes, real-time interactions, media characteristics, and situational characteristics as stimulus factors influence consumers' perceptions and thus reuse intentions.
Findings
The results of the analysis show that external environmental factors have a significant impact on consumer perceptions and that perceived risks and flows can influence consumers' reuse intentions. In addition, we also examined the impact of reuse intentions on consumers' active participation. These results show that live streaming commerce can influence consumer perceptions and behavior in several ways.

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2데이터 마이닝 기법을 통한 COVID-19 팬데믹의 국내 주가 영향 분석: 헬스케어산업을 중심으로

저자 : 김덕현 ( Kim¸ Deok Hyun ) , 유동희 ( Yoo¸ Dong Hee ) , 정대율 ( Jeong¸ Dae Yul )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 3호 발행 연도 : 2021 페이지 : pp. 21-45 (25 pages)

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Purpose
This paper analyzed the impacts of domestic stock market by a global pandemic such as COVID-19. We investigated how the overall pattern of the stock market changed due to the impact of the COVID-19 pandemic. In particular, we analyzed in depth the pattern of stock price, as well, tried to find what factors affect on stock market index(KOSPI) in the healthcare industry due to the COVID-19 pandemic.
Design/methodology/approach
We built a data warehouse from the databases in various industrial and economic fields to analyze the changes in the KOSPI due to COVID-19, particularly, the changes in the healthcare industry centered on bio-medicine. We collected daily stock price data of the KOSPI centered on the KOSPI-200 about two years before and one year after the outbreak of COVID-19. In addition, we also collected various news related to COVID-19 from the stock market by applying text mining techniques. We designed four experimental data sets to develop decision tree-based prediction models.
Findings
All prediction models from the four data sets showed the significant predictive power with explainable decision tree models. In addition, we derived significant 10 to 14 decision rules for each prediction model. The experimental results showed that the decision rules were enough to explain the domestic healthcare stock market patterns for before and after COVID-19.

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3미세먼지 통계 서비스 품질향상이 시민 삶의 질에 미치는 영향에 관한 연구

저자 : 장은미 ( Jang¸ Eun Mi ) , 서응교 ( Suh¸ Eung Kyo )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 3호 발행 연도 : 2021 페이지 : pp. 47-64 (18 pages)

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Purpose
This study measures the degree of improvement in statistical quality experienced by data users when the data of a more convenient measurement method is extended to the analysis target to improve the quality of fine dust statistics service, and the method of expressing analysis data is revised. Ultimately, the main purpose is to explore how it can affect the quality of life of citizens.
Design/methodology/approach
As it was an issue the emerged as the most important issue at the time, various parties (government, private company, academia, civic groups, etc.) conducted multifaced research on fine dust, but they all focused on measuring technology and demonstrating its effectiveness there was only.
This researcher redesigned the study from the viewpoint of statistical data users by changing the research subject from the technology itself to user, different from the existing research cases. The questionnaire method and structural equation were used in the study, and fine dust statistics generated through the existing method and the expanded/revised method were provided and compared for a total of 200 people.
Findings
Based on the results of the study, I would like to suggest what each entity should ultimately focus on to resolve the fine dust issue in the future.

KCI등재

4지각된 위험과 전환비용이 클라우드 서비스로의 전환의도에 미치는 영향에 관한 연구: PPM 모델 중심으로

저자 : 이승희 ( Lee¸ Seung Hee ) , 정석찬 ( Jeong¸ Seok Chan )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 3호 발행 연도 : 2021 페이지 : pp. 65-91 (27 pages)

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Purpose
In this study, we investigated the impact of perceived risk and switching costs on switching intention to cloud service based on PPM (Pull-Push-Mooring) model.
Design/methodology/approach
We focused on revealing the switching factors of the switching intention to the cloud services. The switching factors to the cloud services were defined as perceived risk consisting of performance risk, economic risk, and security risk, and switching costs consisting of financial and learning costs. On the PPM model, we defined the pull factors consisting of perceived usefulness and perceived ease of use, and the push factor as satisfaction of the legacy system, and the mooring factor as policy supports.
Findings
The results of this study as follows; (1) Among the perceived risk factors, performance risk has a negative effect on the ease of use of pull factors, and finally it was found to affect the switching intention to the cloud services. Therefore, cloud service providers need to improve trust in cloud services, service timeliness, and linkage to the legacy systems. And it was found that economic risk and security risk among the perceived risk factors did not affect the switching intention to the cloud services. (2) Of the perceived risk factors, financial cost and learning cost did not affect the satisfaction of the legacy system, which is a push factor. It indicates that the respondents are positively considering switching to cloud service in the future, despite the fact that the respondents are satisfied with the use of the legacy system and are aware of the switching cost to cloud service. (3) Policy support was found to improve the switching intention to cloud services by alleviating the financial and learning costs required for cloud service switching.

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5BSC프레임워크 기반 ERP시스템의 재무 성과 영향요인: 전략적 연계성의 상호작용효과와 고객 및 비즈니스 프로세스 관점의 매개 효과

저자 : 박기호 ( Park¸ Ki Ho )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 3호 발행 연도 : 2021 페이지 : pp. 93-112 (20 pages)

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Purpose
Recently, many organizations are actively adopting enterprise architecture (EA) as a methodology to manage IT assets and build IT-based business system. This study intended to empirically examine how the role of EA operating unit and utilization capability of organizational members impact on system performance at the post-adoption stage. A balanced score card (BSC) is being used as a framework for a company's key performance indicator (KPI).
Design/methodology/approach
This study tried to investigate the causal relationship between the four perspectives of the balanced scorecard as an influencing factor of the introduction of the Enterprise Resource Planning (ERP) on the financial value. In particular, the mediating effect between the customer's point of view and the business process point of view was investigated between the learning growth point of view and the financial point of view, and the interaction effect (regulating effect) of strategic linkage in the system introduction process was investigated.
Findings
The results of the study were first, that the organizational learning and growth perspective had a positive effect on the customer perspective, business process, and financial perspective. In addition, the customer perspective and the process perspective also had a positive influence on the financial perspective. Second, between the learning growth and financial perspectives, the customer perspective and the process perspective showed a partial mediating effect. Third, as for strategic linkage, the interaction effect between the customer perspective, the learning growth perspective, and the process perspective and the financial perspective was not significant. The results of this study are expected to provide a framework for performance evaluation to organizations that have introduced ERP systems.

KCI등재

6The Effects of Media Literacy Education and its Influence on Digital Citizenship: Focusing on CMF Education Programs in Korea

저자 : 박윤미 ( Park¸ Yun Mi ) , 채지혜 ( Chae¸ Ji Hye ) , 김슬기 ( Kim¸ Seul Ki ) , 권혜선 ( Kwon¸ Hye Seon )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 3호 발행 연도 : 2021 페이지 : pp. 113-135 (23 pages)

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Purpose
This study aims to measure the effects of media literacy education through the social science method and find out the impact of media literacy education on digital citizenship in Korea and its implications for the development of democracy.
Design/methodology/approach
This study used an independent t-test to analyze relativeness between media literacy education and media literacy factors. We also adopted an independent t-test to investigate media literacy influence on digital citizenship. Furthermore, we found out age differences using 'the one-way analysis of variance (the one-way ANOVA)'.
Findings
We have found four media literacy factors, MC, CT, C&P, R&R, have been significantly affected by media literacy education. We have also pulled out three digital citizenship factors, IPA, TS, and CP, involved in media literacy education. Moreover, we have analyzed our survey by different age groups. The lower the age, the higher the TS. CP was highest among those from 30 to 59, followed by those under the 30s.

KCI등재

7전자신분증에 대한 수용의도에 관한 연구: 향상초점, 예방초점과 성별의 조절효과를 중심으로

저자 : 김민주 ( Kim¸ Min Joo ) , 김민균 ( Kim¸ Min Kyun )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 3호 발행 연도 : 2021 페이지 : pp. 137-158 (22 pages)

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Purpose
This study aims to investigate which factors have impact on the acceptance intention of new electronic ID. For the empirical analysis, this study utilized PLS-SEM after collecting 385 survey data, and analyzed relations between each factors.
Design/methodology/approach
This study made a design of the research model by integrating the factors deducted from the Unified Theory of Acceptance and Use of Technology with the factors deducted from the Risk Factors.
Findings
The results are as follow; First, of the UTAUT factors, Performance Expectancy, Effort Expectancy and Social Influence and has positive impact on Acceptance Intention, but Facilitating Conditions doesn't have meaningful impact on Acceptance Intention. Second, of the Risk factors, Innovation Resistance has negative impact on Acceptance Intention, but Perceived Risk dose not have meaningful impact on Acceptance Intention. Finally, regulatory effect of the Promotion Focus, Prevention Focus and Gender has regulatory impact to Acceptance intention. It is expected that the implications of this study enables government effectively to offer new electronic ID.

KCI등재

8제조업 종사자들의 빅데이터시스템 사용의도에 대한 결정요인의 영향

저자 : 손달호 ( Son¸ Dal Ho )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 3호 발행 연도 : 2021 페이지 : pp. 159-175 (17 pages)

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Purpose
The purpose of this study was to find the effect of the determinants on the Big data utilization in industry. The determinants of Big data utilization were deduced by reviewing theoretical background and discussions on Big data related researches. Research model and proposed hypothesis were constructed from TOE framework and UTAUT model.
Design/methodology/approach
The research was conducted to collect a sample data from the experts involved in the Big data projects in industry. In addition, interviews and online survey were performed to get sample data. Exploratory factor analysis was conducted to verify the grouping of these questionnaire items and confirmatory factor analysis was done to verify the validity and reliability of the measurement model. Finally, research hypothesis was verified and theoretical and practical implications were proposed for further studies.
Findings
The results show that the technical factor have a significant effect on the expectancy factor and the behavioral factor. The organizational factor have a significant effect on the behavioral factor. In addition, the expectancy factor was significant on the behavioral factor and the intention-to-use of Big data system.

KCI등재

9전공계열별 인공지능 교양교육을 위한 교육과정 제언 : D대학 교양필수 교과목 사례를 중심으로

저자 : 박소현 ( Park¸ So Hyun ) , 서응교 ( Suh¸ Eung Kyo )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 3호 발행 연도 : 2021 페이지 : pp. 177-199 (23 pages)

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Purpose
This study explores the development direction of the artificial intelligence curriculum as a universal education that enhances the ability of college students to flexibly use artificial intelligence these days, where artificial intelligence education is spreading, and the educational components based on this are subdivided according to the characteristics of each major.
Design/methodology/approach
In order to develop the educational purpose of the subject and the detailed educational curriculum suitable for the subject of education, we first analyzed domestic and foreign prior research related to artificial intelligence liberal arts education. As the main components derived by experts, the basic concept of artificial intelligence converges to literacy to read and write for everyday problem solving, as well as problem-solving ability to manipulate real data and software.
Findings
The results showed that In the artificial intelligence literacy module, trends and prospects of artificial intelligence and necessary competencies were checked, and cases applied to major fields were examined. In the AI utilization and application part, basic data analysis items and content composition were composed through creative thinking, logical thinking, and intelligence. In order to design the curriculum, a software development language suitable for each major area was first selected, and AI education content areas, elements, and packages were defined and designed for each major area to meet the objectives of the subject.

KCI등재

10섬유소재 분야 특허 기술 동향 분석: DETM & STM 텍스트마이닝 방법론 활용

저자 : 이현상 ( Lee¸ Hyun Sang ) , 조보근 ( Jo¸ Bo Geun ) , 오세환 ( Oh¸ Se Hwan ) , 하성호 ( Ha¸ Sung Ho )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 3호 발행 연도 : 2021 페이지 : pp. 201-216 (16 pages)

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Purpose
The purpose of this study is to analyze the trend of patent technology in textile materials using text mining methodology based on Dynamic Embedded Topic Model and Structural Topic Model. It is expected that this study will have positive impact on revitalizing and developing textile materials industry as finding out technology trends.
Design/methodology/approach
The data used in this study is 866 domestic patent text data in textile material from 1974 to 2020. In order to analyze technology trends from various aspect, Dynamic Embedded Topic Model and Structural Topic Model mechanism were used. The word embedding technique used in DETM is the GloVe technique. For Stable learning of topic modeling, amortized variational inference was performed based on the Recurrent Neural Network.
Findings
As a result of this analysis, it was found that 'manufacture' topics had the largest share among the six topics. Keyword trend analysis found the fact that natural and nanotechnology have recently been attracting attention. The metadata analysis results showed that manufacture technologies could have a high probability of patent registration in entire time series, but the analysis results in recent years showed that the trend of elasticity and safety technology is increasing.

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KCI등재

1간편결제 서비스의 지속사용의도에 영향을 미치는 요인에 관한 연구: 플로우, 신뢰 및 혁신저항을 중심으로

저자 : 손달호 ( Son Dal Ho )

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

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Purpose
The purpose of this study is to deduct the motivative factors such as perceived value, trust, innovative resistance and flow from the pervious studies and to examine the effect of the motivative factors in the continued use of convenient payment service.
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

2저자동시인용분석에 의한 Business Analytics 분야의 지적 구조 분석: 2002 ~ 2020

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

저자 : 윤상훈 ( Yoon Sang Hun ) , 김근형 ( Kim Keun Hyung )

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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