• 제목/요약/키워드: Individual behavior

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Migration Decision-Making Process-Synthesis of Macrolevel and Microlevel Perspectives (거주지 이동에 관한 모형의 설정-거시적 접근과 미시적 접근의 결합)

  • 정기원
    • Korea journal of population studies
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    • v.12 no.1
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    • pp.30-42
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    • 1989
  • This study develops a model of migration decision-making process, with identifying macrolevel and microlevel factors affecting the process. The model includes some sequential stages : to be dissatisfied with current residential area, intend to move, collect information about alternative destinations, select destination, decide to move, and make actual migration. The macrolevel factors included in the model are environmental, socioeconomic, cultural, and demographic characteristics of the current residence and alternative destinations. The microlevel factors are psychological, socioeconomic, and demographic characteristics of the individual. The effects of the macrolevel and microlevel factors on each stage of migration decision-making process are identified from the previous studies on migration. This study has both theoretical and practical implications. The theoretical contribution will be in the area of integrating the ecological and the individual level perspectives of migration by identifying the macrolevel and microlevel effects on migration decision-making process. This study also has implications for theoretical frameworks guiding empirical analysis of migration behavior of the individuals, and for policies aimed at redistributing population.

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Research in Shopping: Review of Academic Disciplines for a Shopping Theory (쇼핑연구 고찰: 학술영역 이해를 통한 쇼핑이론의 기초적 접근)

  • Park, Kyung-Ae
    • Journal of the Korean Society of Clothing and Textiles
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    • v.32 no.11
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    • pp.1802-1813
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    • 2008
  • As a very first step for theorizing shopping, this study attempted to diagnose the current of shopping research. Using the keyword of shopping from major academic databases in Korea, the study collected 560 research articles and analyzed patterns of: 1) research by year, journal, and academic area; 2) researchers by academic area; 3) keywords; and 4) research contents. Analyses showed that two thirds of articles in shopping were published after 2000. While the number of journals was the highest in business and engineering, the numbers of articles and researchers were the highest in business and apparel. The most frequently used included internet shopping mall, internet shopping, and shopping orientation. About 66% of shopping research was internet shopping related, and 80% was empirical study using individual consumers. Though shopping was studied as an individual consumer behavior, there were noticeable patterns in research contents by academic field. The study discussed such patterns and provided implications for multidisciplinary approaches for shopping theory and research.

Technology Acceptance Model with Web Interactivity (웹의 상호작용 특성을 반영한 정보기술수용모형)

  • Chang, Hwal-Sik;Kim, Jong-Ki;Oh, Chang-Gyu
    • Asia pacific journal of information systems
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    • v.12 no.4
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    • pp.55-75
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    • 2002
  • The purposes of this study are in threefold; to explain the interactivity in web site, to extend the Technology Acceptance Model(TAM) in the WWW context, and to examine its relationship with the existing TAM components. We proposed that the WWW is not just web systems but interactive spaces for virtual community. Web interactivity is represented by the two constructs: system interactivity and social interactivity. We extended and empirically examined the TAM for the web context. An individual's attitude toward the use of the web site is significantly affected by the individual's perception about ease of use, usefulness, and system interactivity. At the same time, behavioral intentions to use the web site is highly related to the social interactivity. The results showed that the system interactivity and social interactivity of a web site are important factors in affecting the user's beliefs and behavior intention of such a web site, So web page providers not only have to make the web site useful and easy to use, but also need to design an interactive web page by putting both systemic aspects and social aspects.

Group Idea Generation and Simulation (그룹 아이디어 제너레이션을 위한 시뮬레이션 알고리즘의 개발)

  • Jung, J.H.
    • Korean Management Science Review
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    • v.26 no.2
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    • pp.37-59
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    • 2009
  • Electronic brainstorming (EBS) to improve the process and outcomes of group decision making is an artifact of Information Systems legacy. Despite three decades of research with EBS in an effort to become a key resource of organizational performance, its performance when compared to that of nominal is inconclusive because of the recent debate over its usefulness in terms of productivity. Subsequent researchers have directed our attention to the re-examination of cognitive stimulation, which is considered the major benefit in computer-based idea generation, to explain the performance singularity in computer-based groups. While both cognitive and motivational factors that moderate and mediate the group-interaction process remain unexplored, individual differences that are tightly linked to creative behavior have been largely ignored to account for the discrepancy in performance. Since simulations have been widely used in situations where an outcome does not meet the assumptions, the notion of a group simulator and detailed simulation mechanisms are introduced to examine the potential effects of individual differences on the performance of computer-based idea generation groups. In addition, two prior studies that empirically explored cognitive mechanisms with the group simulator are showcased along with six propositions to initiate future research.

DO ENTREPRENEURIAL INTENTIONS MATTER? AN EMPIRICAL INVESTIGATION THROUGH THE EYES OF GLOBAL ENTREPRENEURSHIP MONITOR

  • Yego, Canisius;Jeon, Seong-Min
    • 한국벤처창업학회:학술대회논문집
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    • 2017.11a
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    • pp.149-153
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    • 2017
  • Intentions influence behaviors and, consequently, individual and organizational outcomes. The ability to understand intentions becomes a central issue. The objective of this study was to present and test an Entrepreneurial Intentions (EI) model. Drawing on a generally utilized paradigm, the theory of planned behavior and Shapero's model of the Entrepreneurial Event (SEE), we show the impact of individual and contextual factors on the intention development. Relying on the Global Entrepreneurship Monitor data(GEM), we test a EI conceptual model. The EI conceptual model is tested using the dataset of GEM over 30 countries and 3 subgroups. All the variables of interest indicate positive and significant effect on EI. Our results indicate that EI is influenced by Perceived Opportunity(PO), Perceived Capability(PC) and Government Support & Policy(GSP).

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Communal Antecedents in the Adoption of Secure Coding Methodologies

  • Kim, Sung Kun;Kim, Ji Young
    • Asia pacific journal of information systems
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    • v.26 no.2
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    • pp.231-246
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    • 2016
  • Technology acceptance model has demonstrated that technology adoption behavior can be explained by two user belief constructs: perceived usefulness and perceived ease of use. A number of studies have explored how these beliefs develop by utilizing primarily individual-level antecedents. However, because innovation and new techniques bear a direct relation to social concerns, non-individual antecedents may be necessary. Therefore, in this study, social and organizational supports are used to understand how software developers foster beliefs regarding secure coding practices. We compiled data from 83 software developers to evaluate the technology acceptance model. Our findings show that these collective antecedents can effectively explain user belief constructs and the intention to adopt secure coding methodologies. These findings imply that society and organizations offering more concrete support programs will experience smoother deployment of security-enhancing measures.

Variations of heart rate variability under varied physical environmental factors

  • Ishibashi, Keita;Yasukouchi, Akira
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2001.11a
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    • pp.91-95
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    • 2001
  • In this study, we estimated the behavior of the diversity of physiological responses under varied physical environmental factors by measuring variations of heart rate variability (HRV), an index of activity of cardiac autonomic control. Seven healthy young male adults consented and participated in the study. The environmental conditions consisted of thermal, lighting, and acoustic conditions. Two components of HRV were measured. one was the low frequency (LF) component of HRV, which provided a quantitative index of the sympathetic and parasympathetic (vagal) activities controlling the heart rate (HR). The other component measured was the high frequency (HF) component, which provided an index of the vagal tone. The percent contribution of physical environmental factors to the variations in HRV indices were calculated by ANOVA. The contribution of physical environmental factors to the variations in HR was higher than the contribution of HF and LF. However, the contribution of these factors was lower than the contribution related with individual difference in all indices. This result showed that the individual diversity of physiological responses is not a negligible quantity.

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Behavior Control of Autonomous Mobile Robots using ECANS1 (진화하는 셀룰라 오토마타를 이용한 자율이동로봇군의 행동제어)

  • Lee, Dong-Wook;Chung, Young-June;Sim, Kwee-Bo
    • Proceedings of the KIEE Conference
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    • 1998.07g
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    • pp.2183-2185
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    • 1998
  • In this paper, we propose a method of designing neural networks using biological inspired developmental and evolutionary concept. The living things are best information processing system in themselves. One individual is developed from a generative cell. And a species of this individual have adapted itself to the environment by evolution. Ontogeny of organism is embodied in cellular automata and phylogeny of species is realized by evolutionary algorithms. The connection among cells is determined by a rule of cellular automata. In order to obtain the best neural networks in the environment, we evolve the arrangement of initial cells. The cell, that is neuron of neural networks, is modeled on chaotic neuron with firing or rest state like biological neuron. A final output of network is measured by frequency of firing state. The effectiveness of the proposed scheme is verified by applying it to navigation problem of robot.

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Development of Individual Trespassing Detector for Building (개체 독립형 건축물 침입감지기 개발)

  • Kim, Myung-Ho
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.57 no.4
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    • pp.400-403
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    • 2008
  • In this work, an individual trespassing detector using a PIR sensor to detect infrared rays only between the range of $9.4{\sim}10.4{\mu}m$ radiated from the body is proposed. This detector using FIR sensor detects not insect or object but human body, It doesn't restrict the inhabitant's behavior because the filter of pm sensor is designed to have face angle and the detector only detects the window area. The existing wide angle filter, RIR sensor, detects $30^{\circ}$ angle while the face angle filter sensor on this paper detects $11^{\circ}$ angle with 3cm of face angle filter from 2m of detecting distance. In case of interruption of electric power, 250mAh of lithium-ion battery has worked for 10 hours consuming 22mA in normal state. Meanwhile, in case of interruption of electric power, 250mAh of battery has worked for 4 hours consuming 60mA in trespassing detecting state. Projector, receptor, controller and alarm are put on one PCB in order to make it convenient to install without any special installation skill.

Influence of the microstructure on effective mechanical properties of carbon nanotube composites

  • Drucker, Sven;Wilmers, Jana;Bargmann, Swantje
    • Coupled systems mechanics
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    • v.6 no.1
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    • pp.1-15
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    • 2017
  • Despite the exceptional mechanical properties of individual carbon nanotubes (CNTs), the effective properties of CNT-reinforced composites remain below expectations. The composite's microstructure has been identified as a key factor in explaining this discrepancy. In this contribution, a method for generating representative volume elements of aligned CNT sheets is presented. The model captures material characteristics such as random waviness and entanglement of individual nanotubes. Thus it allows studying microstructural effects on the composite's effective properties. Simulations investigating the strengthening effect of the application of a pre-stretch on the CNTs are carried out and found to be in very good agreement with experimental values. They highlight the importance of the nanotube's waviness and entanglement for the mechanical behavior of the composite. The presented representative volume elements are the first to accurately capture the waviness and entanglement of CNT sheets for realistically high volume fractions.