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한국정보시스템학회> 정보시스템연구> 레그테크 기반의 자본시장 규제 해석 온톨로지 및 딥러닝 기술 개발을 위한 제언

KCI등재

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

Suggestions for the Development of RegTech Based Ontology and Deep Learning Technology to Interpret Capital Market Regulations

최승욱 ( Choi Seung Uk ) , 권오병 ( Kwon Oh Byung )
  • : 한국정보시스템학회
  • : 정보시스템연구 30권1호
  • : 연속간행물
  • : 2021년 03월
  • : 65-84(20pages)
정보시스템연구

DOI


목차

Ⅰ. 서론
Ⅱ. 이론적 배경
Ⅲ. 레그테크 기반의 온톨로지 및 딥러닝 기술 개발을 위한 사례
Ⅳ. 토의 및 결론
참고문헌

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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.

UCI(KEPA)

I410-ECN-0102-2022-300-000579129

간행물정보

  • : 사회과학분야  > 경영학
  • : KCI등재
  • :
  • : 계간
  • : 1229-8476
  • : 2733-8770
  • : 학술지
  • : 연속간행물
  • : 1992-2022
  • : 933


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저자 : 김선주 ( Kim Seon Ju ) , 김병수 ( Kim Byoung Soo )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 2호 발행 연도 : 2022 페이지 : pp. 1-18 (18 pages)

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Purpose
Customer review is a major factor in choosing certain restaurants. This study investigates the key factors affecting customer's evaluation about restaurants. With the recent intensification of competition among restaurants in the service industry, the analysis results are expected to provide in-depth insights for enhancing customer experiences.
Design/methodology/approach
We collected information and reviews provided at the restaurants in the Kakao Map platform. The information collected is based on the information of 3,785 restaurants in Daegu registered on Kakao Map. Based on the information collected, seven independent variables, including number of rating registered, number of reviews, presence or absence of safe restaurants, presence or absence of a posting about holding facilities, presence or absence of a posting about business hours, presence or absence of a posting about hashtags, and presence or absence of break times, were used. Dependent variable is restaurant rating. Multiple regression between independent variables and restaurant rating was carried out.
Findings
The results of the study confirmed that number of rating registered, presence or absence of a posting about business hours, and presence or absence of a posting about hash tags have an positive effects on the restaurant rating. The number of reviews had a negative effect on the restaurant rating. In addition, in order to confirm the role of customer's reviews, we carried out LDA topic modeling. We divided the topics into the positive review and the negative reviews.

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2가상현실 기반 업무공간 융복합 분야 연구 동향 분석 : 패스파인더 네트워크와 병렬 최근접 이웃 클러스터링 방법론 활용

저자 : 하재빈 ( Ha Jae Been ) , 강주영 ( Kang Ju Young )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 2호 발행 연도 : 2022 페이지 : pp. 19-43 (25 pages)

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Purpose
Due to the COVID-19 pandemic, many companies are building virtual workplaces based on virtual reality technology. Through this study, we intend to identify the trend of convergence and convergence research between virtual reality technology and work space, and suggest future promising fields based on this.
Design/methodology/approach
For this purpose, 12,250 bibliographic data of research papers related to Virtual Reality (VR) and Workplace were collected from Scopus from 1982 to 2021. The bibliographic data of the collected papers were analyzed using Text Mining and Pathfinder Network, Parallel Neighbor Clustering, Nearest Neighbor Centrality, and Triangle Betweenness Centrality. Through this, the relationship between keywords by period was identified, and network analysis and visualization work were performed for virtual reality-based workplace research.
Findings
Through this study, it is expected that the main keyword knowledge structure flow of virtual reality-based workplace convergence research can be identified, and the relationship between keywords can be identified to provide a major measure for designing directions in subsequent studies.

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3COVID-19 대응 ICT 기술융합 스마트팜 활성화에 따른 기대요인 분석

저자 : 박병권 ( Park Byung Kwon ) , 최형림 ( Choi Hyung Rim ) , 강다연 ( Kang Da Yeon )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 2호 발행 연도 : 2022 페이지 : pp. 45-62 (18 pages)

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Purpose
Smart farms play a leading role in changing the safety food culture for the citizens. The purpose of this study is to investigate the factors that are important to covid 19-response in the case of ICT smart farm. To do so, we classified the factors as operating effect aspect and industrial wave effect aspect of the smart farm.
Design/methodology/approach
This study was conducted by visiting Geumsan County, which is attempting to perform a smart farm. Through interviewing farmers representatives based on their operational effect expectations on the smart farm, we derived the industrial crash effect factors and thereafter designed the research model. This study applied AHP, which is an expert decision-making method cans be used to measure relative importance for determining priorities. After interviewing the experts with smart farm, we obtained the factors which are important to smart farm development.
Findings
According to analysis, the productivity improvement factor was ranked as the most important among the operational effect items. This is consistent with the ultimate goal of smart farms with ICT convergence technology, which is increase the profitability of agriculture. The second place is the factor in the development of infrastructure and infrastructure, and the third and fifth positions were export expansion, environmentally friendly management, and job creation in terms of operational effectiveness.

KCI등재

4스마트워크를 지원하는 클라우드 컴퓨팅의 사용의도 분석 : TAM-TTF 모델 관점

저자 : 배경은 ( Bae Kyoung Eun ) , 서창교 ( Suh Chang Kyo )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 2호 발행 연도 : 2022 페이지 : pp. 63-88 (26 pages)

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Purpose
The purpose of this study is to empirically analyze the factors affecting the intention to use cloud computing in the smart work environment. This study is meaningful in that it examines the characteristics of smart work and the fit of cloud computing characteristics, and it is a study that reveals the factors affecting the intention to use cloud computing by applying the integrated model of TTF and TAM.
Design/methodology/approach
In order to understand the factors affecting the intention to use cloud computing in the smart work environment, a research model that integrates TTF and TAM with the hypothesis was proposed. In order to verify the research hypothesis, this study conducted a survey on individuals with experience in smart work and cloud computing. And with the data 280 collected in the survey, path analysis was performed using the PLS structural equation.
Findings
As a result, it was found that task characteristics and technology characteristics had a positive (+) effect on task-skill fit, and task-skill fit had a positive (+) effect on perceived ease of use and usefulness. Also, task-skill fit, perceived ease of use, and perceived usefulness were found to have a positive (+) effect on intention to use.

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5가상 인플루언서에 대한 소비자의 유사성 지각이 정서적 유대감을 통해 구매의도에 미치는 영향

저자 : 이지현 ( Lee Ji Hyeon ) , 김한구 ( Kim Han Ku )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 2호 발행 연도 : 2022 페이지 : pp. 89-110 (22 pages)

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Purpose
To verify the factors that encourage consumers' favorable reaction toward virtual influencer, we proposed consumers' perception of subjective and objective similarity. The purpose of this study is to comprehensively investigate the impacts of consumers' perception toward virtual influencer on purchase intention through psychological distance and parasocial relationship.
Design/methodology/approach
This study was designed to examine the structural relationships among consumers' perceived external similarity, internal similarity, controllability, animacy toward virtual influencer, psychological distance, parasocial relationship and purchase intention.
Findings
The results are as follows. First, perceived external similarity, internal similarity, perceived controllability, and animacy had a positive impact on psychological distance. Second, psychological distance had a positive impact on parasocial relationship, whereas it had no significant impact on purchase intention. However, we found that the relation between psychological distance and purchase intention was mediated by parasocial relationship. Lastly, parasocial relationship had a positive impact on purchase intention. Based on these results, this study can propose the way to generate revenue to companies that consider advertising campaign using virtual influencer.

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6온라인 플랫폼 노동에서 불안과 자율성의 긴장관계에 대한 실증분석

저자 : 주재훈 ( Joo Jae Hun )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 2호 발행 연도 : 2022 페이지 : pp. 111-136 (26 pages)

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Purpose
The purpose of this study is to examine the effect that insecurity and autonomy of platform work have an influence on work-life balance and psychological well-being in an era of platform economy based on two characteristics of online platform work and self-determination theory.
Design/methodology/approach
This study suggested the structural equation model integrating two antecedents, insecurity and autonomy, work-life balance, and psychological well-being and proposed five hypotheses driven from the research model. A total of 334 valid samples were collected from platform workers by employing questionnaire including 24 question items of four constructs.
Findings
Three hypotheses were supported and one hypothesis was not supported at the significance level of 0.05. Insecurity of platform work has a negative influence on work-life balance at the significance level of 0.01, whereas insecurity of platform work has no a significant influence on psychological well-being. Autonomy of platform work has a positive influence on both work-life balance and psychological well-being at the significance level of 0.01. Work-life balance has a positive impact on psychological well-being at the significance level of 0.001. Insecurity have an influence on psychological well-being indirectly through mediation of work-life balance. Implications for academicians and practitioners were suggested.

KCI등재

7AI 음성 에이전트의 음성 특성에 대한 사용자 반응 연구

저자 : 백승주 ( Beak Seung Ju ) , 정윤혁 ( Jung Yoon Hyuk )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 2호 발행 연도 : 2022 페이지 : pp. 137-158 (22 pages)

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Purpose
As artificial intelligence voice agents (AIVA) have been widely adopted in services, diverse forms of their voices, which are the main interface with users, have been experimented. The purpose of this study is to examine how users evaluate vocal characteristics (gender, voice pitch, and voice pace) of AIVA, depending on prior research on human voice attractiveness.
Design/methodology/approach
This study employed an experimental survey which 516 participated in. Each participant was randomly assigned into one of eight situations (e.g., male - higher pitch - faster pace) and listened a AIVA voice sample, which introduce weather information. Next, a participant answered three consequence factors (attractiveness, trust, and anthropomorphism).
Findings
The results reveal that female voices of AIVA were perceived as more attractive and trustworthy than male voices. As far as voice pitch goes, while lower-pitch voices were preferred in female voices, higher-pitch voices were preferred in male voices. Finally, faster voices of AIVA were more attractive than slower voices.

KCI등재

8쿠팡 리뷰가 상품 매출에 미치는 영향 분석 : FCB Grid Model을 기준으로

저자 : 류성관 ( Ryu Sung Gwan ) , 이지영 ( Lee Ji Young ) , 이상우 ( Lee Sang Woo )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 2호 발행 연도 : 2022 페이지 : pp. 159-177 (19 pages)

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Purpose
Online reviews are critical for sales of online shopping platforms because they provide useful information to consumers. As the eCommerce market grows rapidly, the role of online reviews is becoming more important. The purpose of this study is to analyze how online reviews written by domestic consumers affect product sales by classifying the types of products.
Design/methodology/approach
This study analyzed how the effects of review characteristics(reviewer reputation, reviewer exposure, review length, time, rating, image, and emotional score) on the usefulness of online reviews differ depending on the product types. Subsequently, how the impact of review attributes (review usefulness, number of reviews, ratings, and emotional scores) on product sales differs according to each product type was compared. Based on the FCB Grid model, the product type was classified into high involvement-rational, high involvement-emotional, low involvement -rational, and low involvement-emotional product types.
Findings
According to the analysis result, the characteristics of reviews useful to consumers were different for each product type, and the review attributes affecting product sales were also different for each product type. This study confirmed that it revealed that product characteristics are major consideration in evaluating the review usefulness and the factors affecting product sales.

KCI등재

9물류공동화 사용의도에 영향을 미치는 의료공급사슬관리 경쟁역량 연구

저자 : 정대현 ( Jung Dae Hyun ) , 김진성 ( Kim Jin Sung )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 2호 발행 연도 : 2022 페이지 : pp. 179-196 (18 pages)

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Purpose
The purpose of this study is to examine what expectations and mediating factors are needed as variables necessary for the intention to use logistics hollowing out, and at the same time, what factors strengthen medical SCM competitiveness. In order to develop competitive competency variables for medical institutions that affect the intention to use logistics cavitation, we would like to examine the key success factors applying AHP model analysis.
Design/methodology/approach
For AMOS analysis, we conducted an online survey of four universities and analyzed 212 samples. The analysis method used SPSS, and AMOS. We proposed several factors categorized as reliability, SCM advance, and scalability.
Findings
The results showed that all proposed variables (competitive competencies for HSCM, expected performance) had a significant impact on intention of physical distribution cooperation. According to the measurement methods proposed in this study, key success factors for strengthening the capacity of HSCM can increase the need for physical distribution cooperation through expected performance.

KCI등재

10국가과학기술정보서비스플랫폼 NTIS 지속적 사용의도 결정요인에 관한 연구: UTAUT 및 TTF모형을 중심으로

저자 : 최은빈 ( Choi Eun Bin ) , 손달호 ( Son Dal Ho )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 31권 2호 발행 연도 : 2022 페이지 : pp. 197-216 (20 pages)

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Purpose
In this study, in order to understand the effects of NTIS users' behavioral scientific behaviors and determinants, an integrated model of the UTAUT(Unified Theory of Acceptance and Use of Technology) model and TTF(Task-Technology Fit) model, which are frequently used MIS field, was presented and empirical analysis was conducted.
Design/methodology/approach
In this study, an online survey was conducted on researchers from organizations carrying out national R&D projects, institutions, universities, and dedicated management institutions and the collected data verified hypotheses established using the SPSS 25.0 statistical package and structural equation model using AMOS.
Findings
The results showed that NTIS users' business activities had a positive(+) effect on task-technology fit and task-technology fit had a positive(+) effect on performance expectation, effort expectation, and continuous intention-to-use intention. In addition, the performance expectation, effort expectation, and promotion conditions presented in research model had a positive(+) effect on the continuous intention-to-use. The research results derived through this study are expected to contribute substantially to subsequent research in the field related to information sharing platforms.

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Design/methodology/approach
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Findings
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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
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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

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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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