• Title/Summary/Keyword: information behavior model

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Navigational Structure and User Behavior Modeling for Restructuring of Web-based Information Systems (웹기반 정보시스템의 재구성을 위한 항해구조 및 사용자행동 모델링)

  • 박학수;황성하;이강수
    • Journal of Korea Multimedia Society
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    • v.5 no.6
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    • pp.730-744
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    • 2002
  • A Web-Based Information System(WBIS), a typical structure of recently information systems, should be dynamically restructured in order to satisfy user's need and make a profit. Thus, we should analyze and modelize the navigational structure of WBIS and utilize it by modeling the navigational structure of behavior of user through log-file as system restructuring. In this paper, we propose the modeling method for navigational structure and user behavior to restructure WBIS including shopping mall. Also, we suggest the structural model, state transition model, Petri net model and analysis method and analyze and implement modeling algorithm for user behavior to analyze log-file of it. Then, we propose some restructuring heuristic and apply the methods to the example of WBIS.

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A Study on the Similitude of Material for Small-Scale Model Mix Proportion of Concrete Pavement. (콘크리트 포장 축소모델 배합의 재료적 상사성에 관한 연구)

  • 배주성;고영주;김재경;김평수
    • Proceedings of the Korea Concrete Institute Conference
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    • 1997.10a
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    • pp.103-110
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    • 1997
  • The objective of this study is to provide the information on the small-scale model mix proportion when the behavior of prototype concrete pavement is studied through small-scale model experiments. However it is difficult to obtain a model material to simulate the prototype concrete by scaling the individual components according to the laws of similitude. In this paper, the stress-strain behavior in uniaxial compression is used as a means to correlate materials similitude between the prototype and the model concrete. Based on th results of experiments, We compared the stress-strain curves of prototype and model concrete mixes using a nondimensional basis. In order to simulate the stress-strain curves of prototype concrete, it is important that various mix as of model concrete selected properly which are varied from aggregate grading, cement-aggregate and sand-aggregate ratio.

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Users' Impulsive Bidding Behavior in C2C Auction Platform (C2C 옥션 플랫폼 사용자의 충동적 입찰행동에 관한 연구)

  • Park, Sang-Cheol;Kim, Jong-Uk
    • The Journal of Information Systems
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    • v.25 no.4
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    • pp.63-85
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    • 2016
  • Purpose While the popularity of C2C auction platforms such as eBay is gradually decreased, this domain is still undermined to explain online bidding behaviors. Online bidders sometimes engage in impulsive bidding due to some of the online auction characteristics. Therefore, this study develops and tests a model of the impulsive bidding exhibited by online bidders in C2C auction platforms. Based on S-O-R framework, our model posits that both perceived time-pressure and competition intensity affect cognitive absorption which ultimately influences the impulsive bidding. Design/methodology/approach This study collected survey data from 214 C2C auction participants, who have prior experience on impulsive bidding and tested both measurement model and structural model by using CB-SEM (covariate-based structural equation modelling) technique. In this study, by using AMOS 20.0, we tested the measurement model for its overall fit, item reliability, and validity and further conducted the structural model to test our proposed hypotheses. Findings Based on our results, we found that perceived tim-pressure and competition intensity were positively related to cognitive absorption. We also found that the cognitive absorption was positively associated with impulsive bidding behavior. In this study, by developing our research model in S-O-R framework, we provide an alternative theoretical mechanism to describe online impulsive bidding behavior.

The Impact of Information Security(IS) Organizational Justice on Employee IS Value Congruence and IS Voice Behavior: Exploring the Role of Susceptibility to Interpersonal Influence (조직의 정보보안 공정성이 개인의 정보보안 관련 가치 일치 및 제언 행동에 미치는 영향: 대인 간 영향 민감성의 적용)

  • Hwang, Inho
    • The Journal of Information Systems
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    • v.32 no.4
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    • pp.1-28
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    • 2023
  • Purpose Recently, organizations have been allocating significant financial resources toward the implementation of new technologies and stringent information security (IS) policies in order to enhance IS. However, the potential for IS threats from internal sources within organizations remains high. This study proposes a mechanism whereby the organization's IS environment (organizational justice) enhances employees' perception of IS value congruence and encourages their voice behavior. Furthermore, this study validates that an individual's susceptibility to interpersonal influence can reinforce the relationship between the aforementioned factors and voice behavior. Design/methodology/approach We utilized AMOS 22.0 and Process 3.1 to validate the research model and hypotheses. The data was gathered from 435 employees employed in South Korean firms that implemented IS policies in their work. Structural equation modeling was employed to examine the relationship between organizational justice, value congruence, and voice behavior, and the interaction effect was confirmed by incorporating model 1 of Process 3.1 for the hypothesis pertaining to susceptibility to interpersonal influence. Findings The findings of this study indicate that organizational justice has a positive impact on voice behavior, which is further enhanced by value congruence. Furthermore, the influence of organizational justice and value congruence on voice behavior is moderated by susceptibility to information influence, while susceptibility to normative influence only moderates the effect of organizational justice. These results provide valuable insights for organizations in developing customized information systems strategies that effectively promote employees' voice behaviors.

Factors Predicting the Physical Activity Behavior of Female Adolescents: A Test of the Health Promotion Model

  • Mohamadian, Hashem;Arani, Mohammad Ghannaee
    • Journal of Preventive Medicine and Public Health
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    • v.47 no.1
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    • pp.64-71
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    • 2014
  • Objectives: Physical activity behavior begins to decline during adolescence and continues to decrease throughout young adulthood. This study aims to explain factors that influence physical activity behavior in a sample of female adolescents using a health promotion model framework. Methods: This cross-sectional survey was used to explore physical activity behavior among a sample of female adolescents. Participants completed measures of physical activity, perceived self-efficacy, self-esteem, social support, perceived barriers, and perceived affect. Interactions among the variables were examined using path analysis within a covariance modeling framework. Results: The final model accounted for an $R^2$ value of 0.52 for physical activity and offered a good model-data fit. The results indicated that physical activity was predicted by self-esteem (${\beta}$=0.46, p<0.001), perceived self-efficacy (${\beta}$=0.40, p<0.001), social support (${\beta}$=0.24, p<0.001), perceived barriers (${\beta}$=-0.19, p<0.001), and perceived affect (${\beta}$=0.17, p<0.001). Conclusions: The findings of this study showed that the health promotion model was useful to predict physical activity behavior among the Iranian female adolescents. Information related to the predictors of physical activity behavior will help researchers plan more tailored culturally relevant health promotion interventions for this population.

The Development of Travel Demand Nowcasting Model Based on Travelers' Attention: Focusing on Web Search Traffic Information (여행자 관심 기반 스마트 여행 수요 예측 모형 개발: 웹검색 트래픽 정보를 중심으로)

  • Park, Do-Hyung
    • The Journal of Information Systems
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    • v.26 no.3
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    • pp.171-185
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    • 2017
  • 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.

A study on relationship among health belief, self-efficacy, exercise satisfaction and health-promoting behavior : focused on the case of health training center (건강신념과 자기효능감, 운동만족 및 건강증진행동 관계연구 : 헬스센터 중심으로)

  • Jeong, Youngshin;Yoon, Chunseong
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.12 no.3
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    • pp.215-230
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    • 2016
  • This study aims to investigate how health belief of adult female users of the health training center affect health-promoting behavior through self-efficacy and exercise satisfaction. The proposed model is based on health belief model of Rosenstock et al. To validate the proposed model, PLS analysis is performed with the valid 177 questionnaires collected from Seoul and nearby cities. The results are as follows. First, perceived severity has a positive effect on self-efficacy, not on exercise satisfaction. Second, perceived susceptibility does not has a positive effect on both self-efficacy and exercise satisfaction. Third, perceived barriers has a positive effect on self-efficacy, not on exercise satisfaction. Fourth, perceived susceptibility has a positive effect on both self-efficacy and exercise satisfaction. Fifth, self-efficacy has a positive effect on exercise satisfaction and health-promoting behavior. Sixth, exercise satisfaction has a positive effect on health promoting behavior.

Experimental Performance Evaluation of Complex Behavior Connector by Scaled Model (축소모형에 의한 복합거동 연결체의 실험적 성능 평가)

  • Kim, Kisung;Kang, Hyounhoi;Park, Jeongjun
    • Journal of the Society of Disaster Information
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    • v.13 no.2
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    • pp.130-138
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    • 2017
  • The connector of the complex behavior is to connect the individual piles of the pile to the lower foundation of the oil sand plant where the floating foundation is used. In this study, to verify the shape of a connector of the complex behavior for applying the advantages of existing group pile and piled raft foundation to an oil sand plant, a scaled model was constructed to measure the behavior of the load.

Proper Incentives to Promote Information Exchange

  • Obayashi, Atsuomi
    • Industrial Engineering and Management Systems
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    • v.6 no.1
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    • pp.55-63
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    • 2007
  • Exchange of information is essential to the process of innovation such as product development. However, in many cases innovation fails because of a lack of knowledge sharing among parties concerned, even if parties individually have pieces of useful knowledge and skills. Besides physical factors like communication costs, the possibility of opportunistic behavior by parties like stealing ideas can discourage information exchange. This paper introduces a model to analyze incentives of information exchange. The model is a game by two players who alternately opt to offer information to the partner. It is suggested that information exchange can stop before reaching the efficient level. In order to attain the efficient information exchange, expectation of mutual benefit and absence of opportunistic motives in both players are needed. Methods for promoting information exchange include modifying payoff structure to meet the condition of information exchange. The fluidity of partnership may increase a variety of information exchange partners, but discourage building trust between partners which promotes information exchange.

Aiding the operator during novel fault diagnosis

  • Yoon, Wan-C.;Hammer, John-M.
    • Journal of the Ergonomics Society of Korea
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    • v.6 no.1
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    • pp.9-24
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    • 1987
  • The design and philosophy are presented for an intelligent aid for a hyman operator who must diagnose a novel fault in a physical system. A novel fault is defined as one that the operator has not experienced in either real system operation or training. When the operator must diagnose a novel fault, deep reasoning about the behavior of the system components is required. To aid the human operator in this situation, four aiding approaches which provide useful information are proposed. The aiding information is generated by a qualitative, component-level model of the physical system. Both the aid and the human are able to reason causally about the system in a cooperative search for a diagnosis. The aiding features were designed to help the hyman's use of his/her mental model in predicting the normal system behavior, integrating the observations into the actual system behavior, or finding discrepancies between the two. The aid can also have direct access to the operator's hypotheses and run a hypothetical system model. The different aiding approaches will be evaluated by a series of experiments.

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