ScholarWorks@Hanyang University: Choi, Jae Young

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Choi, Jae Young (최재영)

GRADUATE SCHOOL OF TECHNOLOGY & INNOVATION MANAGEMENT (DEPARTMENT OF TECHNOLOGY MANAGEMENT)

Research Area: 기술경제, 시장분석, R&D관리, Technology Economics, Market Analysis, R&D Management

Tel 02-2220-2413
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Research collaboration:3||R&:3||technology convergence:3||Enjoyment:2||Bayesian estimation:2||Coauthorship:2||Knowledgeintensive business services (KIBS):2||Economic impact analysis:2||Information systems:2||Inputoutput analysis:2||TAM:2||Conjoint analysis:2||Research and development strategy:2||innovation performance:2||Converging technology:1||Customer relationship management:1||D cooperation:1||D funding:1||D strategy:1||Ddedicated labor ratio:1||De facto standard:1||Discrete choice model:1||ERP:1||Education:1||Electric vehicles:1||Electrical Components:1||Electronic &:1||Electronic resources:1||Faculty:1||GL Index:1||GL지수:1||Gaussian mixture:1||Groupware:1||Hair condition:1||Industry Trade Box:1||Informal communication:1||Interdisciplinary:1||International collaboration:1||Internet of Things:1||IntraIndustry Trade:1||Korea:1||Logarithmic Mean Divisia Index:1||Loss aversion:1||MaaS (mobility as a service):1||Market share simulation:1||Media usage behavior:1||Mixed Logit Model:1||Mixed logit:1||Mobile handset subsidy:1||Multinomial probit model:1||Multinominal Logit Model:1||Multiple discretecontinuous extreme value model:1||Multivariate probit model:1||New media:1||New product development:1||Nextgeneration DVD:1||Perceived effect:1||Performance of firms:1||Policy acceptance:1||Policy expectation:1||Policy knowledge:1||Policy trust:1||Preference analysis:1||Probit estimation:1||R&D cooperation:1||R&Ddedicated labor ratio:1||Reference dependent:1||Research:1||SEM:1||SMEs:1||Scenario analysis:1||Shampoo:1||Simulation analysis:1||Smart port:1||Social interaction:1||Strength of the social ties:1||Technological convergence:1||Technology Acceptance Model:1||Technology acceptance model:1||Technology adoption:1||Technology fusion mixture:1||Time allocation:1||Virtual reality:1||advanced vehicle technologies:1||alternative fuel vehicles:1||analytic hierarchy process:1||biotechnology industry:1||coauthorship analysis:1||coclassification analysis:1||commodity bundling:1||communication technology (ICT):1||consumer heterogeneity:1||decomposition analysis:1||diffusion:1||diffusion pattern:1||eBuy:1||economic impact:1||economic indicator:1||firm origin:1||firm survival:1||fresh food:1||government R&:1||inputoutput analysis:1||ipv6:1||ipv6 adoption policy:1||knowledge recombination:1||market segmentation:1||market simulation:1||mixed logit:1||mixed multiple discretecontinuous extreme value model:1||multiple discretecontinuous extreme value:1||multivariate probit model:1||negative binomial regression:1||nformation system adoption:1||online distribution channels:1||patent application:1||patent data:1||platformbased firm:1||research collaboration:1||research management:1||sensitivity:1||smart city:1||strategic alliance:1||substitution pattern:1||sustainability:1||tablet PCs:1||구조방정식:1||기술수용모형:1||다항로짓:1||리스크:1||산업내무역:1||산업무역박스:1||생체인식기술:1||유희성:1||자동차산업:1||전기·전자장치:1||컨조인트:1||클라우드 컴퓨팅:1||Automated vehicle:1||혼합로짓:1||Automobile Industry:1||Autonomous vehicle:1||Bayesian mixed logit:1||Bayesian multivariate probit:1||Biometrics:1||CAV (connected and autonomous vehicle):1||CRM:1||Cloud computing:1||Clustering:1||Complementarity:1||Conjoint Analysis:1||Consumer purchase behaviour:1||Contextuality:1||

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222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365

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