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정보시스템연구 update

The Journal of Information Systems

  • : 한국정보시스템학회
  • : 사회과학분야  >  경영학
  • : KCI등재
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  • : 연속간행물
  • : 계간
  • : 1229-8476
  • : 2733-8770
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수록정보
수록범위 : 1권1호(1992)~31권2호(2022) |수록논문 수 : 933
정보시스템연구
31권2호(2022년 06월) 수록논문
최근 권호 논문
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KCI등재

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.

KCI등재

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.

KCI등재

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

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.

KCI등재

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.

KCI등재

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

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

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

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

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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