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한국정보시스템학회> 정보시스템연구> 혼합 임베딩을 통한 전문 용어 의미 학습 방안

KCI등재

혼합 임베딩을 통한 전문 용어 의미 학습 방안

A Method for Learning the Specialized Meaning of Terminology through Mixed Word Embedding

김병태 ( Kim Byung Tae ) , 김남규 ( Kim Nam Gyu )
  • : 한국정보시스템학회
  • : 정보시스템연구 30권2호
  • : 연속간행물
  • : 2021년 06월
  • : 57-78(22pages)
정보시스템연구

DOI


목차

Ⅰ. 서론
Ⅱ. 선행 연구
Ⅲ. 제안 방법론 및 실험 설계
Ⅳ. 실험 결과
Ⅴ. 결론
참고문헌
< Abstract >

키워드 보기


초록 보기

Purpose
In this study, first, we try to make embedding results that reflect the characteristics of both professional and general documents. In addition, when disparate documents are put together as learning materials for natural language processing, we try to propose a method that can measure the degree of reflection of the characteristics of individual domains in a quantitative way.
Approach
For this study, the Korean Supreme Court Precedent documents and Korean Wikipedia are selected as specialized documents and general documents respectively. After extracting the most similar word pairs and similarities of unique words observed only in the specialized documents, we observed how those values were changed in the process of embedding with general documents.
Findings
According to the measurement methods proposed in this study, it was confirmed that the degree of specificity of specialized documents was relaxed in the process of combining with general documents, and that the degree of dissolution could have a positive correlation with the size of general documents.

UCI(KEPA)

I410-ECN-0102-2022-300-000647251

간행물정보

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


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31권2호(2022년 06월) 수록논문
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1데이터 마이닝을 활용한 외식업체의 평점에 영향을 미치는 선행 요인

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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발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 2호 발행 연도 : 2021 페이지 : pp. 1-27 (27 pages)

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Purpose
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Design/methodology/approach
We proposed several factors categorized as trust, information quality, and platform traits that have a positive impact on trust of crowdfunding platform, which positively leads to intention to participate and word-of-mouth of crowdfunding. The collected(n=285) from individuals who have participated in crowdfunding project was analyzed with SmartPLS 3.0 to test proposed hypotheses.
Findings
The results showed that all proposed variables (website reputation, crowdfunding familiarity, digital storytelling, information quality, and interaction) had a significant impact on crowfunding platform trust with exception of product differentiation. In addition, crowfunding platform trust was positively associated with participating intention and word-of-mouth. Based on findings, we discussed the research results and implication alone with a direction for future studies.

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저자 : 손새아 ( Shon Sae Ah ) , 신우식 ( Shin Woo Sik ) , 김희웅 ( Kim Hee Woong )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 2호 발행 연도 : 2021 페이지 : pp. 29-56 (28 pages)

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Purpose
Cyber deviance of adolescents has become a serious social problem. With a widespread use of smartphones, incidents of cyber deviance have increased in Korea and both quantitative and qualitative damages such as suicide and depression are increasing. Research has been conducted to understand diverse factors that explain adolescents' delinquency in cyber space. However, most previous studies have focused on a single theory or perspective. Therefore, this study aims to comprehensively analyze motivations of juvenile cyber deviance and to develop a predictive model for delinquent adolescents by integrating four different theories on cyber deviance.
Design/methodology/approach
By using data from Korean Children & Youth Panel Survey 2010, this study extracts 27 potential factors for cyber deivance based on four background theories including general strain, social learning, social bonding, and routine activity theories. Then this study employs econometric analysis to empirically assess the impact of potential factors and utilizes a machine learning approach to predict the likelihood of cyber deviance by adolescents.
Findings
This study found that general strain factors as well as social learning factors have positive effects on cyber deviance. Routine activity-related factors such as real-life delinquent behaviors and online activities also positively influence the likelihood of cyber diviance. On the other hand, social bonding factors such as community commitment and attachment to community lessen the likelihood of cyber deviance while social factors related to school activities are found to have positive impacts on cyber deviance. This study also found a predictive model using a deep learning algorithm indicates the highest prediction performance. This study contributes to the prevention of cyber deviance of teenagers in practice by understanding motivations for adolescents' delinquency and predicting potential cyber deviants.

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3혼합 임베딩을 통한 전문 용어 의미 학습 방안

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발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 2호 발행 연도 : 2021 페이지 : pp. 57-78 (22 pages)

다운로드

(기관인증 필요)

초록보기

Purpose
In this study, first, we try to make embedding results that reflect the characteristics of both professional and general documents. In addition, when disparate documents are put together as learning materials for natural language processing, we try to propose a method that can measure the degree of reflection of the characteristics of individual domains in a quantitative way.
Approach
For this study, the Korean Supreme Court Precedent documents and Korean Wikipedia are selected as specialized documents and general documents respectively. After extracting the most similar word pairs and similarities of unique words observed only in the specialized documents, we observed how those values were changed in the process of embedding with general documents.
Findings
According to the measurement methods proposed in this study, it was confirmed that the degree of specificity of specialized documents was relaxed in the process of combining with general documents, and that the degree of dissolution could have a positive correlation with the size of general documents.

KCI등재

4혜택/비용, 그림자 노동에 대한 부정적 태도, 반응행동 간 구조적 관계

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발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 2호 발행 연도 : 2021 페이지 : pp. 79-103 (25 pages)

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Purpose
Based on consumers' economic, psychological, self-development and conversion costs, this study discusses the relationship between consumers' negative attitude to their shadow work during the course of using self-service in unmanned supermarkets and their behavior.
Design/methodology/approach
Along with the Hirschman(1970)'s EVLN(Exit, Voice, Loyalty, and Neglect) reviewed, the proposed model of this study is based on the S-O-R model(Mehrabian and Russel, 1974) and mental accounting theory(Thaler, 1999), having empirical validation.
Findings
In the process of visits and consumption in unmanned supermarkets, increasing economic and psychological benefits can effectively reduce consumers' negative attitudes towards shadow work. In addition, the increase in switching costs will also effectively reduce consumers' negative attitudes towards shadow work. When shadow work holds a negative attitude, all the three kinds of actions will occur. Unmanned supermarket operators use consumers to create value while giving a certain return to them, which is conducive to the sustainable development of unmanned supermarket enterprises.

KCI등재

5머신러닝을 이용한 국내 수입 자동차 구매 해약 예측 모델 연구: H 수입차 딜러사 대상으로

저자 : 정동균 ( Jung Dong Kun ) , 이종화 ( Lee Jong Hwa ) , 이현규 ( Lee Hyun Kyu )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 2호 발행 연도 : 2021 페이지 : pp. 105-126 (22 pages)

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Purpose
The purpose of this study is to implement a optimal machine learning model about the cancellation prediction performance in car sales business. It is to apply the data set of accumulated contract, cancellation, and sales information in sales support system(SFA) which is commonly used for sales, customers and inventory management by imported car dealers, to several machine learning models and predict performance of cancellation.
Design/methodology/approach
This study extracts 29,073 contracts, cancellations, and sales data from 2015 to 2020 accumulated in the sales support system(SFA) for imported car dealers and uses the analysis program Python Jupiter notebook in order to perform data pre-processing, verification, and modeling that is applying and learning to Machine learning model after then the final result was predicted using new data.
Findings
This study confirmed that cancellation prediction is possible by applying car purchase contract information to machine learning models. It proved the possibility of developing and utilizing a generalized predictive model by using data of imported car sales system with machine learning technology. It can reduce and prevent the sales failure as caring the potential lost customer intensively and it lead to increase sales revenue by predicting the cancellation possibility of individual customers.

KCI등재

6Digital Immigrants' Goal Structures in Online Learning

저자 : Lee Jung Hoon , Nam Jin Young , Jung Yoon Hyuk

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 2호 발행 연도 : 2021 페이지 : pp. 127-146 (20 pages)

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Research Purpose
Advances in digital technology have facilitated the widespread adoption of online learning, which has become a substantial way of learning. Although digital immigrants have become a main group of users of learning online, there is a lack of understanding of their online learning. This study aims to explore digital immigrants' adoption of online learning from the goal-pursuit perspective to gain insight into how they use online learning.
Research Method
A laddering interview was conducted with 22 Korean adults to elicit their goals in online learning. Then, a means-end chain analysis was used to derive their hierarchical goal structure.
Findings
The results reveal digital immigrants' goal structure of online learning, consisting of four attributes of online learning (e.g., accessibility, diversity, up-to-dateness, and repeatability) and six goals (e.g., self-esteem, enjoyment, recognition, productivity, gaining insights, and positive relations). This study contributes to the literature by providing a rich picture of their use of online learning.

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7SOM과 LSTM을 활용한 지역기반의 부동산 가격 예측

저자 : 신은경 ( Shin Eun Kyung ) , 김은미 ( Kim Eun Mi ) , 홍태호 ( Hong Tae Ho )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 2호 발행 연도 : 2021 페이지 : pp. 147-163 (17 pages)

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Purpose
The study aims to predict real estate prices by utilizing regional characteristics. Since real estate has the characteristic of immobility, the characteristics of a region have a great influence on the price of real estate. In addition, real estate prices are closely related to economic development and are a major concern for policy makers and investors. Accurate house price forecasting is necessary to prepare for the impact of house price fluctuations. To improve the performance of our predictive models, we applied LSTM, a widely used deep learning technique for predicting time series data.
Design/methodology/approach
This study used time series data on real estate prices provided by the Ministry of Land, Infrastructure and Transport. For time series data preprocessing, HP filters were applied to decompose trends and SOM was used to cluster regions with similar price directions. To build a real estate price prediction model, SVR and LSTM were applied, and the prices of regions classified into similar clusters by SOM were used as input variables.
Findings
The clustering results showed that the region of the same cluster was geographically close, and it was possible to confirm the characteristics of being classified as the same cluster even if there was a price level and a similar industry group. As a result of predicting real estate prices in 1, 2, and 3 months, LSTM showed better predictive performance than SVR, and LSTM showed better predictive performance in long-term forecasting 3 months later than in 1-month short-term forecasting.

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8온라인 마켓플레이스의 신뢰 형성과 다차원적 제도적 메커니즘의 역할

저자 : 노윤호 ( Roh Yoon Ho ) , 옥석재 ( Ok Seok Jae )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 2호 발행 연도 : 2021 페이지 : pp. 165-188 (24 pages)

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Purpose
This study was conducted to identify the multidimensional role of institutional mechanisms in the linear relationship of satisfaction, trust and repurchase intention, which are used as an important concept in the research of e-commerce. To this end, a research model was proposed by combining concepts which are the concept of perceived effectiveness of institutional mechanisms for overall e-commerce environment(e.g., PEEIM) and the concep of perceived effectiveness of institutional structures(e.g., PEIS) of a specific marketplace based on the social cognitive theory.
Design/methodology/approach
This study was conducted by dividing the data into two groups to identify institutional mechanisms and trust-building relationships according to the institutional contexts inherent in e-commerce. The institutional contexts were set up for the top two online companies and the bottom two online companies according to the results of the open market brand assessment from 2018 to 2019 in South Korea.
Findings
The result of this study found that PEIS had a direct impact on trust in both high and low groups respectively whereas PEEIM presented different paradoxical results in high and low groups. In the relationship between the satisfaction and the trust in the vendor of the high group, PEEIM showed negative moderating effects but in the relationship between the trust and the repurchase intention of the low group PEEIM showed positive moderating effects.

KCI등재

9소비자 리뷰 텍스트마이닝을 이용한 신생 산업 시장 구조 분석: 국내 수제 맥주 시장의 경쟁 관계 및 시장 구조를 중심으로

저자 : 이연수 ( Lee Yeon Soo ) , 김혜진 ( Kim Hye Jin )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 2호 발행 연도 : 2021 페이지 : pp. 189-214 (26 pages)

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Purpose
This paper aims to effectively utilize user-generated content (UGC) and analyze the market structure of a relatively new market which lacks rich user review information. Specifically, we propose a domain-specific text mining tool for the domestic craft beer market and visualize the market structure by incorporating how individual beer products are positioned in the perceptual map of consumers.
Design/methodology/approach
We collect user review information from Naver blogs, and extract words that describe beers. We identify semantic relationships between beer products through text mining, and then depending on these semantic relationships, construct a graph representing the market structure of the domestic craft beer market based on the consumer's perceptual map.
Findings
First, beer products produced in the same brewery are perceived as very similar to consumers. Second, only two products, 'Heukdang Milky Stout' and 'Gompyo', was noticeably distinguishable from other products. Third, even though 'Gyeongbokgung' is from a different brewery, it is located very close to the products of 'Jeju Beer' brewery such as 'Jeju Baeknokdam Ale' and 'Seongsan Ilchulbong Ale', which suggests the influence of 'landmark series.' We successfully show that our methodology effectively describes the market structure of the craft beer market.

KCI등재

10외식업 점주의 배달앱 서비스 이용에 대한 지각된 혜택 및 희생이 지속이용의도에 미치는 영향: 가치기반수용모델을 중심으로

저자 : 이영석 ( Lee Young Seok ) , 송재민 ( Song Jae Min ) , 양성병 ( Yang Sung Byung )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 2호 발행 연도 : 2021 페이지 : pp. 215-241 (27 pages)

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Purpose
The purpose of this study is to analyze the impact of perceived value on the intention of continuous use of food delivery app services form the perspective of restaurant owners. We adopt the value-based acceptance model (VAM) in order to derive influential factors (i.e., perceived benefits and perceived sacrifices) that affect perceived value, which in turn leads to the continuous use of food delivery app services. In addition, the moderating role of restaurant type in the relationship between perceived benefits/sacrifices and perceived value.
Design/methodology/approach
An online survey was conducted on restaurant owners who are using domestic food delivery app services. Samples were collected using the quota sampling method in accordance with the current market share of food delivery app services. A total of 235 participants (restaurant owners) were identified as a valid sample and used for the final analysis.
Findings
Research findings of the study are as follows. First, sales increase and operational effort decrease among perceived benefits had a significant positive impact on perceived value. Second, perceived cost among perceived sacrifices had a significant negative impact on perceived value. Third, perceived value had a significant positive effect on the intention of continuous use. Finally, the moderating role of restaurant type was found only in the effect of operational effort decrease on perceived value.

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