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한국정보시스템학회> 정보시스템연구

정보시스템연구 update

The Journal of Information Systems

  • : 한국정보시스템학회
  • : 사회과학분야  >  경영학
  • : KCI등재
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  • : 연속간행물
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  • : 1229-8476
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수록정보
수록범위 : 1권1호(1992)~26권3호(2017) |수록논문 수 : 702
정보시스템연구
26권3호(2017년 09월) 수록논문
최근 권호 논문
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KCI등재

1ICT기업 융합성과의 결정요인에 관한 연구

저자 : 이무순 ( Lee Moo-soon ) , 손달호 ( Son Dal-ho )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 26권 3호 발행 연도 : 2017 페이지 : pp. 1-23 (23 pages)

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Purpose With the advent of the 4th Industrial Revolution era, ICT convergence industry is leading the wave of new change. These changes in the industrial field are recognizing convergence as a strategic cooperation tool of management for creating new value. In order to achieve the research purpose, conceptual understanding of ICT convergence is summarized by focusing on concepts, features, types and cases. In addition, this study established the theoretical rationale for the determinants of ICT convergence performance, and examined previous researches related to ICT convergence. Design/methodology/approach The empirical research method is based on a survey of 510 companies including managers and mid-level practitioners who understand the contents of the relevant field, 305 data were used for analysis. We conducted exploratory factor analysis to verify the grouping of these questionnaire items and conducted confirmatory factor analysis to analyze the validity and reliability of the measurement model. Through the statistical analysis, we analyzed the structural relationship of ICT firms` competencies for convergence performance. Findings Linkage of ICT strategies established by corporations is an important factor for enhancing resource capacity and convergence ability. It is important to ensure that product innovation, consumer-oriented strategies, and ICT strategies for the implementation of business strategies are closely linked. In addition, in the convergence environment, companies should make efforts to develop convergence ability and improve organizational performance through utilization of ICT resources. From the CEO`s perspective, it is necessary to understand the knowledge, technology and resources arising from the convergence environment, and to integrate with the resources possessed by the enterprise to induce the organization`s performance.

KCI등재

2핀테크 기반의 간편결제 서비스 지속적 사용의도에 대한 요인 연구

저자 : 우가인 ( Yu Jia-tong ) , 조재형 ( Cho Jae-hyung )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 26권 3호 발행 연도 : 2017 페이지 : pp. 25-46 (22 pages)

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Purpose The purpose of this study is to analyze the factors for continuous use intention of the simple payment service based on FinTech for Chinese residents in Korea. The Technology Acceptance Model(TAM) and the continuous use model of information system were applied to the AliPay service, which is the most used by Chinese people. Design/methodology/approach In this study, internal factors and external factors for the simple payment service were derived through previous studies and the effects of the users` perspectives on the intention of continuous use were analyzed. As a result, convenience, responsiveness, perceived usefulness, and suitability were supported as factors affecting ongoing intention to use simple payment service. Especially, convenience is a factor affecting the duration of the simple payment service and it is an important factor for the continuous use of the service. Findings As the number of foreigners living or working in Korea is increasing, understanding the perception of the simple payment service and analyzing the factors for the continuous use can be meaningful as a basic research for the market advancement and growth of domestic FinTech companies is.

KCI등재

3자동차 재구매 증진을 위한 데이터 마이닝 기반의 맞춤형 전략 개발

저자 : 이동욱 ( Lee Dong-wook ) , 최근호 ( Choi Keun-ho ) , 유동희 ( Yoo Dong-hee )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 26권 3호 발행 연도 : 2017 페이지 : pp. 47-61 (15 pages)

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Purpose Although automobile production has increased since the development of the Korean automobile industry, the number of customers who can purchase automobiles decreases relatively. Therefore, automobile companies need to develop strategies to attract customers and promote their repurchase behaviors. To this end, this paper analyzed customer data from a Korean automobile company using data mining techniques to derive repurchase strategies. Design/methodology/approach We conducted under-sampling to balance the collected data and generated 10 datasets. We then implemented prediction models by applying a decision tree, naive Bayesian, and artificial neural network algorithms to each of the datasets. As a result, we derived 10 patterns consisting of 11 variables affecting customers` decisions about repurchases from the decision tree algorithm, which yielded the best accuracy. Using the derived patterns, we proposed helpful strategies for improving repurchase rates. Findings From the top 10 repurchase patterns, we found that 1) repurchases in January are associated with a specific residential region, 2) repurchases in spring or autumn are associated with whether it is a weekend or not, 3) repurchases in summer are associated with whether the automobile is equipped with a sunroof or not, and 4) a customized promotion for a specific occupation increases the number of repurchases.

KCI등재

4절대 유사 임계값 기반 사례기반추론과 유전자 알고리즘을 활용한 시스템 트레이딩

저자 : 한현웅 ( Han Hyun-woong ) , 안현철 ( Ahn Hyun-chul )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 26권 3호 발행 연도 : 2017 페이지 : pp. 63-90 (28 pages)

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Purpose This study proposes a novel system trading model using case-based reasoning (CBR) based on absolute similarity threshold. The proposed model is designed to optimize the absolute similarity threshold, feature selection, and instance selection of CBR by using genetic algorithm (GA). With these mechanisms, it enables us to yield higher returns from stock market trading. Design/Methodology/Approach The proposed CBR model uses the absolute similarity threshold varying from 0 to 1, which serves as a criterion for selecting appropriate neighbors in the nearest neighbor (NN) algorithm. Since it determines the nearest neighbors on an absolute basis, it fails to select the appropriate neighbors from time to time. In system trading, it is interpreted as the signal of `hold`. That is, the system trading model proposed in this study makes trading decisions such as `buy` or `sell` only if the model produces a clear signal for stock market prediction. Also, in order to improve the prediction accuracy and the rate of return, the proposed model adopts optimal feature selection and instance selection, which are known to be very effective in enhancing the performance of CBR. To validate the usefulness of the proposed model, we applied it to the index trading of KOSPI200 from 2009 to 2016. Findings Experimental results showed that the proposed model with optimal feature or instance selection could yield higher returns compared to the benchmark as well as the various comparison models (including logistic regression, multiple discriminant analysis, artificial neural network, support vector machine, and traditional CBR). In particular, the proposed model with optimal instance selection showed the best rate of return among all the models. This implies that the application of CBR with the absolute similarity threshold as well as the optimal instance selection may be effective in system trading from the perspective of returns.

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5제조기업 실행공동체의 사회적 자본이 조직의 지식공유특성 및 개인혁신활동에 미치는 영향

저자 : 신택수 ( Shin Taek-soo ) , 이준용 ( Lee Jun-yong )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 26권 3호 발행 연도 : 2017 페이지 : pp. 91-118 (28 pages)

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Purpose The purpose of this research is to investigate the effect of social capitals on organizational knowledge sharing characteristics and individual innovation activities in community of practice (CoP) of manufacturing company. Design/methodology/approach For this purpose, we divide social capitals as three dimensions, i.e. structural, relational, and cognitive dimension. Structural dimension also consists of closure and Brokerage. Relational social capital is defined as trust about colleagues, superior authorities, and organization. Then, cognitive social capital is defined as a shared understanding among individuals, such as a shared language and codes within CoP. Knowledge Sharing is defined as quantity and quality of shared knowledge. We also defines the cause and effect relationships among social capitals, organizational knowledge sharing characteristics, and individual innovation activities in CoP of manufacturing company as follows. The social capitals will have positive effects on quality of shared knowledge. Then the quality of shared knowledge will have positive effects on the individual innovation activities. This paper tested the validity of these hypothesized casual effects and the sub-hypothesized causal relationships. For the purpose, we used the Partial Least Squares (PLS) for analyzing the causal relationships. Findings Our empirical results show that social capitals of CoP mostly have effects on organizational knowledge sharing characteristics (quantity and quality of shared knowledge) and knowledge sharing activities also have effects on individual innovative activities in the workplace. In this study, these result have a significant implication that a private company will be able to gain organizational innovative performance much better by strengthening CoP supporting activities.

KCI등재

6가격 프레이밍과 메시지 프레이밍 전략이 소비자 태도에 미치는 영향: 온라인 여행상품을 중심으로

저자 : 김미경 ( Kim Mi-kyung ) , 정누리 ( Chung Nuree ) , 양성병 ( Yang Sung-byung )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 26권 3호 발행 연도 : 2017 페이지 : pp. 119-147 (29 pages)

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Purpose In an online e-commerce environment without face-to-face contact between the seller and the buyer, the attitudes of consumers differ greatly depending on which framing strategy is applied, even in cases when the benefits of the deals represent the same value. The purpose of this study is to explore the effects of price-framing and message-framing strategies on consumer attitudes through an experimental analysis in the context of online travel product purchasing. This study suggests a research model based on prospect theory and prior literature on price-framing and message-framing strategies. Design/methodology/approach The experiment was structured as a 2 (discount price presentation: `Won` vs. `%`) x 2 (discount level: low vs. high) x 2 (time-limit message: none vs. one) mixed design. The research hypotheses were tested in a study of 200 undergraduate and graduate students assigned randomly and distributed evenly to each of the eight cells. Findings The findings indicate that consumer attitudes become more favorable when the `%` discount, higher discount rate, and time-limit message are presented. However, no significant interaction effect is found between the discount price presentation and the discount level/time-limit message. This study has a theoretical implication in that it extends the scope of research by examining the influence of framing strategies on experience goods such as online travel products. Moreover, this study can provide managers with more specific guidelines when establishing framing strategies in the context of purchasing online travel products.

KCI등재

7온라인 여행사의 추천정보가 구매의사결정과 재사용의도에 미치는 영향

저자 : 정남호 ( Chung Nam-ho ) , 엄태휘 ( Um Tae-hyee )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 26권 3호 발행 연도 : 2017 페이지 : pp. 149-169 (21 pages)

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Purpose The purpose of this study is to investigate how OTA recommendation influences users` purchase decision making and reuse intention based on the users` destination type. And we compare the results of domestic destination and overseas destination. Design/methodology/approach This research model was designed with the recommendation elements of OTA. And this study conducted an empirical analysis using self-administered questionnaires. The target of the analysis is an individual who has purchased hotel rooms through the OTA for the past one year. A total of 374 usable data were collected (177 domestic respondents and 197 overseas respondents) and analyzed using partial least squares analysis using Smart-PLS 3.0. Findings Two OTA recommendation characteristics - recommendation accuracy and recommendation objectivity were significant in overall model. And easy of decision making was significantly affect to OTA reuse intention. Also, only recommendation accuracy variable was revealed to significant moderating variable between domestic model and overseas model.

KCI등재

8여행자 관심 기반 스마트 여행 수요 예측 모형 개발: 웹검색 트래픽 정보를 중심으로

저자 : 박도형 ( Park Do-hyung )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 26권 3호 발행 연도 : 2017 페이지 : pp. 171-185 (15 pages)

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Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

KCI등재

9숙박공유서비스 이용의도에 영향을 미치는 요인에 관한 연구

저자 : 윤정환 ( Yun Jeong-hwan ) , 이상준 ( Lee Sang-joon )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 26권 3호 발행 연도 : 2017 페이지 : pp. 187-209 (23 pages)

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Purpose The sharing economy is the most important keyword that is changing the paradigm of the world economy and management, and it was selected as one of 10 ideas to change the world in 2011 in Time magazine. The purpose of this study is to verify the structural relationship between perceived value and risk, network effect, usefulness, trust, and intention to use of accommodation service. In addition, the effects of utility and trust, and the experience of using accommodation service are controlled by the effect of empirical value and reciprocal value among the perceived value of sharing economic service, The purpose of this study is to propose a plan to activate the accommodation sharing service. Design/methodology/approach This study was designed to investigate the structural relationship between perceived value, perceived risk, network effect, usefulness, trust, and intention to use. Empirical analysis was done using SPSS 21.0 and AMOS 21.0 Findings Based on the results of this study, the following conclusions can be drawn. First, it was concluded that the higher the economic value of the accommodation sharing service is, the more useful and reliable the service is. Second, the higher the experiential value of the accommodation sharing service is, the higher the usefulness and reliability of the service are. Third, it was concluded that the higher the value of the mutual benefit of the accommodation sharing service is, the higher the trust level of the service is, but not the usefulness of the service. Fourth, it was concluded that the higher the perceived risk of accommodation sharing service is, the lower the service trust level is, but the service usability is not affected. Fifth, it was concluded that the larger the network effect of the accommodation sharing service is, the more useful the service is, but it does not affect the reliability of the service. Sixth, it was concluded that the higher the overall reliability of the accommodation sharing service is, the higher the usefulness of the service is. Seventh, it was concluded that the higher the overall usefulness and reliability of the accommodation sharing service are, the higher the intention to use the sharing service is. Finally, in order to test the effect of the experience on the use of trust and usefulness of the accommodation sharing service, multiple group analysis was conducted to examine the relationship between trust and usefulness, It is shown that there is a moderating effect in the path.

KCI등재

10MICE 산업 관련 SNS에서 기대일치, 사회적 상호작용, 지각된 유용성이 만족과 지속적인 이용의도에 미치는 영향

저자 : 장성희 ( Jang Sung-hee ) , 김상현 ( Kim Sang-hyun )

발행기관 : 한국정보시스템학회 간행물 : 정보시스템연구 26권 3호 발행 연도 : 2017 페이지 : pp. 211-228 (18 pages)

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Purpose This study proposes a research model based on Expectation-Confirmation theory in order to investigate impacts of three variables(expectation confirmation, social interaction, and perceived usefulness) on continuous intention to uss SNS in MICE industry. Design/methodology/approach A survey approach was used in order to measure each latent variable in the research model. A total of 140 responses were collected from actual users of SNS in MICE industry. A structural equation modeling with SmartPLS 2.0 was conducted in order to analyze each relationship in the proposed research model. Findings The results indicated the expectation confirmation had a positive impact on the perceived usefulness, social interaction, and satisfaction. Second, perceived usefulness had a significant positive impact on satisfaction and continuous intention to use SNS in MICE industry. Thrid, social interaction had a positive influence on both satisfaction and continuous intention to use SNS in MICE industry. Finally, the relationship between satisfaction and continuous intention in SNS of MICE industry was fully supported.

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1연안해역에서 석유오염물질의 세균학적 분해에 관한 연구

(2006)홍길동 외 1명심리학41회 피인용

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