간행물

한국정보시스템학회> 정보시스템연구

정보시스템연구 update

The Journal of Information Systems

  • : 한국정보시스템학회
  • : 사회과학분야  >  경영학
  • : KCI등재
  • :
  • : 연속간행물
  • : 계간
  • : 1229-8476
  • : 2733-8770
  • :

수록정보
수록범위 : 1권1호(1992)~30권4호(2021) |수록논문 수 : 907
정보시스템연구
30권4호(2021년 12월) 수록논문
최근 권호 논문
| | | |

KCI등재

1텍스트 마이닝을 활용한 ASMR 콘텐츠 분야에 따른 소비자 인식 및 구전효과 차이점 분석 : ASMR 제품리뷰 및 ASMR How-to 콘텐츠 중심으로

저자 : Tran Hung Chuong , 최재원 ( Choi Jae Won )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 4호 발행 연도 : 2021 페이지 : pp. 1-20 (20 pages)

다운로드

(기관인증 필요)

초록보기

Purpose
Nowadays, Autonomous Sensory Meridian Response (ASMR) is rapidly growing in popularity and increasingly appearing in marketing. Not even in TV commercial advertisement, ASMR also fast growing in one-person media communication, many brands and social media influencers used ASMR for their marketing contents. The purpose of this study is to measure consumers' perceptions about the products in ASMR marketing content and compare the differences in communication effect of ASMR content creator between product review and how-to in the same Macro tier influencer - the YouTuber that has 10,000-100,000 subscribers.
Design/methodology/approach
The research methods selected ASMRtist that do product review content and how-to content, Text comments data was collected from 200 videos of tech-device review videos and beauty-fashion videos. A total of 52,833 text comments were analyzed by applying the LDA topic modeling algorithm and social network analysis.
Findings
Through the result, we can know that ASMR is good at taking attention of viewers with ASMR triggers. In the Tech device reviews field, ASMR viewers also focus on the product like product's performance and purchase. However, there are many topics related to reaction of ASMR sound, trigger, relaxation. In the Beauty-fashion field, viewers' topics mainly focus on the reaction of the ASMR trigger, response to ASMRtist and other topics are talking about makeup - fashion, product, purchase. From LDA result, many ASMR viewers comment that they feel more comfortable when watching the marketing content that uses ASMR. This result has shown that ASMR marketing contents have a good performance in terms of user watching experience, so applying ASMR can take more consumer intention. And the result of social network analysis showed that product review ASMRtist have a higher communication effectiveness than how-to ASMRtist in the same tier. As an influencer marketing strategy, this study provides information to establish an efficient advertising strategy by using influencers that create ASMR content.

KCI등재

2XGBoost와 SHAP 기법을 활용한 근로자 이직 예측에 관한 연구

저자 : 이재준 ( Lee Jae Jun ) , 이유린 ( Lee Yu Rin ) , 임도현 ( Lim Do Hyun ) , 안현철 ( Ahn Hyun Chul )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 4호 발행 연도 : 2021 페이지 : pp. 21-42 (22 pages)

다운로드

(기관인증 필요)

초록보기

Purpose
In order for companies to continue to grow, they should properly manage human resources, which are the core of corporate competitiveness. Employee turnover means the loss of talent in the workforce. When an employee voluntarily leaves his or her company, it will lose hiring and training cost and lead to the withdrawal of key personnel and new costs to train a new employee. From an employee's viewpoint, moving to another company is also risky because it can be time consuming and costly. Therefore, in order to reduce the social and economic costs caused by employee turnover, it is necessary to accurately predict employee turnover intention, identify the factors affecting employee turnover, and manage them appropriately in the company.
Design/methodology/approach
Prior studies have mainly used logistic regression and decision trees, which have explanatory power but poor predictive accuracy. In order to develop a more accurate prediction model, XGBoost is proposed as the classification technique. Then, to compensate for the lack of explainability, SHAP, one of the XAI techniques, is applied. As a result, the prediction accuracy of the proposed model is improved compared to the conventional methods such as LOGIT and Decision Trees. By applying SHAP to the proposed model, the factors affecting the overall employee turnover intention as well as a specific sample's turnover intention are identified.
Findings
Experimental results show that the prediction accuracy of XGBoost is superior to that of logistic regression and decision trees. Using SHAP, we find that jobseeking, annuity, eng_test, comm_temp, seti_dev, seti_money, equl_ablt, and sati_safe significantly affect overall employee turnover intention. In addition, it is confirmed that the factors affecting an individual's turnover intention are more diverse. Our research findings imply that companies should adopt a personalized approach for each employee in order to effectively prevent his or her turnover.

KCI등재

3SNS 사용자 이동 영향요인 연구: SNS 피로감과 이주이론을 중심으로

저자 : 장은진 ( Chang Eun Jin ) , 김정군 ( Kim Jeoung Kun )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 4호 발행 연도 : 2021 페이지 : pp. 43-69 (27 pages)

다운로드

(기관인증 필요)

초록보기

Purpose
Although companies occupied the network market take the advantageous position first and can be successful in securing users over a certain size, it is important to satisfy the customers' demand and prevent the outflow of users toward a new alternative SNS. What is more, there are frequent changes in the flow of users toward new SNSs. Despite these dynamic market circumstances, there is a lack of research to explain the switching behaviors of SNS users.
Design/methodology/approach
The objective of this study is to explain and verify a specified migration theory(Push-Pull-Mooring model) focused on SNS fatigue in the psychological point of view, as well as reviewing previous studies on functional and technical characteristics of SNSs themselves. Moreover, this study tried to highlight factors affecting users actual SNS switch rather than their switching intention.
Findings
According to the statistical analysis, the most influenced pull factor to switch SNS was the alternative attractiveness. On the other hand, undesired relationship burden, service innovation and important mooring factors to prevent users' SNS switch.
This study has a significant contribution to the theory, which analyzed users' actual SNS switch, and examined SNS users' psychological factors(SNS fatigue), reviewing the characteristics of existing services. To secure more users and to keep them, companies providing social network service need to develop differentiated strategies by analyzing psychological characteristics of various users.

KCI등재

4Over The Top(OTT) 서비스 전환의도에 영향을 미치는 Push-Pull-Mooring 요인에 대한 실증적 분석

저자 : 박현선 ( Park Hyun Sun ) , 김상현 ( Kim Sang Hyun )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 4호 발행 연도 : 2021 페이지 : pp. 71-94 (24 pages)

다운로드

(기관인증 필요)

초록보기

Purpose
The purpose of this study is to verify impacts of factors, representing Push-Pull-Mooring(PPM) on switch intention to OTT(Over-The-Top) service in demand for content and to find relationship between factors through empirical analysis.
Design/methodology/approach
This study designed a research model by deriving factors affecting the intention to switch on OTT service based on the Push-Pull-Mooring framework and researches on OTT service. To test the hypothesis, a total of 357 responses were collected from individuals with experience in using OTT service and analyzed using SPSS26 and SmartPLS3.0.
Findings
According to the empirical analysis result, this study confirmed that the push, pull, and mooring factors proposed in this study had a significant effect on switching intention on OTT service. In addition, this study confirmed that both low switching cost and need for variety had a significant effect except for hypothesis H8.

KCI등재

5자율주행 자동차의 수용의도에 관한 연구 - 소비자 지식의 조절효과를 중심으로

저자 : 조상리 ( Cho Sang Lee ) , 배진현 ( Bae Jin Hyun ) , 정석찬 ( Jeong Seok Chan )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 4호 발행 연도 : 2021 페이지 : pp. 95-118 (24 pages)

다운로드

(기관인증 필요)

초록보기

Purpose
This study verified the moderating effect of consumer knowledge in relation to the factors affecting the acceptance intention of autonomous vehicles by adding trust to the United Theory of Acceptance and Use of Technology model for the commercialization of autonomous vehicles.
Design/methodology/approach
For this purpose, this study conducted a survey on general consumers who are interested in automobiles. A total of 250 questionnaires were distributed and collected, and 242 questionnaires were used for analysis. To test the hypotheses, multiple regression analysis and multiple group analysis were performed.
Findings
Performance expectations, effort expectations, social influence, and trust were found to have a positive effect on the acceptance intention of autonomous vehicles. In addition, consumer knowledge between performance expectation and acceptance intention and between effort expectation and acceptance intention was confirmed as a variable that can moderate the relationship.

KCI등재

6Self-Sovereign Identity (SSI: 자기주권신원) 연구 동향 분석: 사회경제, 법률, 기술적 고찰을 중심으로

저자 : 손영진 ( Son Young Jin ) , 박민정 ( Park Min Jung ) , 박정숙 ( Park Jung Suk ) , 황화정 ( Hwang Hwa Jung ) , 채상미 ( Chai Sang Mi )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 4호 발행 연도 : 2021 페이지 : pp. 119-152 (34 pages)

다운로드

(기관인증 필요)

초록보기

The concept of Self-Sovereign Identity (SSI) has emerged to overcome the limitations of traditional centralized personal identity management systems in our society. Therefore, in this study, 36 seminal researches out of 112 collected studies were investigated with a systematic literature review method to deliver a core common definition as well as the research trends on SSI in the socioeconomic, legal and technological fields. SSI studies in the legal field have mainly considered the conflicts with relevant laws such as General Data Protection Regulation (GDPR) and privacy protection laws. The study of SSI in the technology field have looked at the trends of the technical components to implement SSI and discussed the necessities of establishing standards to increase interoperability for SSI diffusion worldwide. This study ultimately derived the core definition of SSI from a various academic fields as “a trust-based personal identity management system that enables autonomous self-identification by a identity owner without a centralized system or 3rd party intervention”. The results of this study contribute to the understanding of the essential SSI concept which were varied on different research fields and industries. The results also provide a foundation for discovering various SSI-based business models, applications as well as future research opportunities. Furthermore, this study suggested that SSI must be developed with interdisciplinary manner among the socioeconomic, legal, and technological fields to be practically applicable system to enable autonomous self-identification by a identity owner in our society.

KCI등재

7SNS 사용자의 서브계정 관리행동에 대한 탐색

저자 : 박상철 ( Park Sang Cheol )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 4호 발행 연도 : 2021 페이지 : pp. 153-171 (19 pages)

다운로드

(기관인증 필요)

초록보기

Purpose
This study is to phenomenologically discover key antecedents and outcomes of behavioral process of SNS users who have multiple SNS sub-accounts. Unlike previous studies that focused on user behavior in the context of a specific SNS platform, this study attempts to describe how and why individual manages their multiple sub-accounts across a variety of SNS platforms.
Design/methodology/approach
By applying the grounded theory methodology (GTM) to elucidate the unique behavior in SNS platforms, this study has conducted in-depth interview with 14 respondents who handle multiple accounts across the SNS platforms. As a results of analyzing the interview manuscripts, this study has extracted 47 concepts, 10 sub-categories and 6 main categories by conducting open coding, axis coding, and selective coding.
Findings
By analyzing interview data, this study has derived main categories such as account management, impression management, self-categorization, authority to determine the relationship, digital shadow work, and portfolio SNS accounts from qualitative interview data. This study has also conducted a process analysis that represents how main categories could be inter-related. Based on findings, this study provides a new phenomenological perspective to understand the behavioral process of SNS users' sub-account usage experience.

KCI등재

8근거이론 접근법을 이용한 인플루언서의 유튜브 채널 운영과 수익 창출에 미치는 영향요인에 관한 탐색 연구

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

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 4호 발행 연도 : 2021 페이지 : pp. 173-202 (30 pages)

다운로드

(기관인증 필요)

초록보기

Purpose
This study explored overall phenomena in context such as YouTube channel operation, strategy, and profit generation through interviews with two research participants who started their own businesses and are recognized as influencer on YouTube and analysis of viewer responses to uploaded contents. With the explosive growth of YouTube content provision and use, previous studies on YouTube are only being conducted individually on YouTube's content, influence, and content providers, so it is need to explore YouTube channel operations and the effect of revenue generation in context from an integrated perspective. Therefore, the purpose of this study is to present an integrated model that provides a specific process by contextually linking the factors and results influencing YouTube channel operation and revenue generation phenomena to individuals and companies who are trying to operate YouTube channels for the first time.
Design/methodology/approach
This study systematized and structured the overall phenomena in context such as YouTube channel operation, communication strategy, effect on revenue generation, and YouTube channel operation results by selecting interview subjects and collecting data through interviews, and analyzing viewer reactions (likes, comments, etc.). Due to the lack of previous studies exploring integrated phenomena, research analysis used Strauss & Corbin (1998)'s grounded theory approach, which presented inductive research methods to discover new theories by structuring concepts and categories based on detailed observations and information provided by interviewees.
Findings
The academic implication of this study is that while previous studies are conducted as individual studies on YouTube's content, influence, and content providers in the current situation where YouTube content provision and use are exploding, it integrally explores and presents an integrated model throughout the process. In addition, taking into account the lack of previous studies, it can be found in the aspect of using the grounded theory approach, an inductive theory approach that establishes a new theory.
The practical implications can be found in that it presented practical directions to beginners who want to start operating YouTube channels by identifying operational preparations, communication strategies with viewers, and response management strategies.

KCI등재

9신용 데이터의 이미지 변환을 활용한 합성곱 신경망과 설명 가능한 인공지능(XAI)을 이용한 개인신용평가

저자 : 원종관 ( Won Jong Gwan ) , 홍태호 ( Hong Tae Ho ) , 배경일 ( Bae Kyoung Il )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 4호 발행 연도 : 2021 페이지 : pp. 203-226 (24 pages)

다운로드

(기관인증 필요)

초록보기

Purpose
The purpose of this study is to enhance the accuracy score of personal credit scoring using the convolutional neural networks and secure the transparency of the deep learning model using eXplainalbe Artifical Inteligence(XAI) technique.
Design/methodology/approach
This study built a classification model by using the convolutional neural networks(CNN) and applied a methodology that is transformation of numerical data to imaged data to apply CNN on personal credit data. Then layer-wise relevance propagation(LRP) was applied to model we constructed to find what variables are more influenced to the output value.
Findings
According to the empirical analysis result, this study confirmed that accuracy score by model using CNN is highest among other models using logistic regression, neural networks, and support vector machines. In addition, With the LRP that is one of the technique of XAI, variables that have a great influence on calculating the output value for each observation could be found.

KCI등재

10텍스트 마이닝을 이용한 부동산 서비스 앱 리뷰 분석

저자 : 강성안 ( Kang Seong An ) , 김동연 ( Kim Dong Yeon ) , 류민호 ( Ryu Min Ho )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 30권 4호 발행 연도 : 2021 페이지 : pp. 227-245 (19 pages)

다운로드

(기관인증 필요)

초록보기

Purpose
The purpose of this study is to examine the variables affecting user satisfaction through previous studies and to examine the differences between apps. Differences are based on factors that determine the quality of real estate service apps and derived by the topic modeling results.
Design/methodology/approach
This study conducts topic modeling to find factors affecting user satisfaction of real estate service apps using user reviews. Sentiment analysis is additionally conduct on the derived topics to examine the user responses.
Findings
Users give high sentiment scores for services that can manage factors such as usefulness of information, false sales, and hype. In addition, managing the basic services of app is an important factor influencing user satisfaction.

12
권호별 보기

내가 찾은 최근 검색어

최근 열람 자료

맞춤 논문

보관함

내 보관함
공유한 보관함

1:1문의

닫기