We strive to analyze the transformative impact of new information technologies and study strategies for firms to thrive in volatile business environments
#AI #Technology #Telecommunications수준 높은 재무 연구를 추구합니다
#Corporate finance #AI #NLP #ESGOur vision is to become one of leading research organizations in innovation and entrepreneurship areas
#Innovation #Strategy #EntrepreneurshipWe characterize the emerging innovation that is generally called digitization or the 4th industrial revolution (including AI, mobility, hyper-connectedness) and understands their effects on the firm, the market, and industry.
We explore how entrepreneurship evolves with the changing nature of innovation, and the consequences of these changes for entrepreneurship strategy and policy
My research group studies how economic outcomes are distributed across individuals and regions. We approach our research questions from a new and unique perspective, employing a diverse set of methodologies such as theoretical economic modeling, empirical economic analysis, machine learning, lab and survey experiments.
#Economic Growth #Inequality #Big Data #Machine Learning #Experimental Economics #Economic PolicyOur FAER research group in KAIST study the role of financial accounting in numerous business activities.
#Financial Acccounting #ESG #AIWe are studying ESG in the financial market. How market participants react to ESG information and their dynamics are our main research interst.
We have tons of unstructured data in financial market, such as mandatory annual/quarterly (text) report, corporate earnigs call audio data, and Fed’s regular call video data. we are actively analyzing those data using AI techniques to discover unique pattern which could not be found in the prior research.
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#Quantitative Research #Consumer Insights #Market analysisQ-Marketing Lab specializes in empirical analysis of marketing and business problems. The focus is on using quantitative methods for important marketing questions.
The lab applies econometrics, statistical methods, and big-data analytics to understand consumer behavior. This research aids businesses in various industries like social media, entertainment, and food.
The lab explores the effects of new technologies like artificial intelligence and the metaverse on the market.
카이스트 기후 에너지 정책 전략 연구실
#Climate #Energy #PolicyWe work to provide decision-makers with rigorous and data-driven insights into the impacts and trade-offs of various policy approaches to climate change and technology innovation
NEXYS Lab focuses on network and complexity economics, providing advanced economic feasibility analyses for diverse business cases and government policies.
#NetworkEconomics #ComplexSystemsWe work to provide decision-makers with rigorous and data-driven insights into the impacts and trade-offs of various policy approaches to climate change and technology innovation
Innovation Network Analysis, Endogenous Innovation, Clustering & Spatial Pattern
Industral Organization, Platform Business, Regulatory Policy
수평적인 분위기와 존중이 있는 연구실이며, 조직행동의 최신 트렌드에 발맞춘 연구 수행으로 탁월한 성과를 창출합니다.
#Organizational Behavior #Creativity #Ethical Decision Making #NegotiationWe investigate the facilitators and inhibitors of creative thinking in organizational settings, striving to uncover the conditions that foster the generation of novel and useful ideas in the workplace.
Unethical behavior involves actions that violate moral principles, while ethical behavior encompasses actions that benefit others or society. We explore the mechanisms of these behaviors, such as gratitude, and draw implications for specific areas, such as negotiator ethicality, ethical leadership.
We examine the latest trends in organizational behavior and have expanded our scope to interdisciplinary research. We investigate cyberpsychology within the metaverse and explore environmental psychology in terms of how workspace influences affective, cognitive, and mental health aspects in humans.
We are MIS lab with empirical study, field experiment.
#Information system #Platform #Secondary data analysis #Field experimentsWe conducted platform users behavior, policy, cryptocurrency platform, mobile app, financial data…etc
We have various backgrounds and support both theoretical and data-driven research.
#Microeconomics #Cryptocurrencies #AIWe explore the dynamics of individual economic agents and their strategic interactions within markets to optimize outcomes and understand decision-making processes.
We explore various phenomena derived from blockchain, such as blockchain governance issues and the prediction of cryptocurrency price trends based on blockchain data.
We strive to understand latecomer technology catch-up process and upgrading/transition strategies via policy and firm’s innovation analysis.
#Technology Management #Science and Technology Policy• Schumpeter’s theory, Evolutionary theory, Case study research
• Post catch-up products and firms’ development policy
• Latecomer technology innovation catch-up model by Linsu Kim (1997)
• Technological and non-technological indicators of industrial upgrading in Korea
• Transformation and rigidity of R&D policies
We conduct research on strategic management for technology, innovation, and entrepreneurship.
#Strategic Management #Technology #Innovation #EntrepreneurshipWe explore how firms search and recombine knowledge to generate novel technologies and breakthrough inventions.
We study scientific research as a primary source of firm innovation, focusing on the impact of institutional intervention on the nature of university research as well as university technology commercialization and extend research on technology-driven entrepreneurship.
We examine the issue of corporate social responsibility of innovating firms from the perspectives of institutional failure and environmental responsibility.
Arachne lab aims to explore interwoven web of ICT systems, in order to draft effective directions for digital as well as digital social innovations.
#IT Management #Digital Business Strategy #Digital Social Innovation #Digital FabricationWe use theoretical foundations to understand human behavior on the Web and discern the practical implications of new Web technologies
We provide theoretical foundations for various phenomena on the Web and predict the economic, social, and technological changes on the Web.
Research of asset pricing in the equity and bond markets.
#Investment #Asset PricingSYNOSIA 연구실에서는 기업재무에 속한 다양한 주제의 연구를 수행합니다.
#Corporate Finance #ESG #Firm ValueWe work to figure out the effect of agency problem and various corporate finance issues on firm value and to evaluate/develop corporate financial devices for the best interests of shareholders. We study any topic that affects firm value including M&A, spinoffs, internal capital markets, credit ratings, corporate governance, etc.
We study the impact of the ESG-related issues on firm value and the market reactions to such issues, examining how the ESG factors have shifted the paradigm. Our research area includes ESG rating, bond, disclosures, reputational risk, etc.
World-class research, abundant research funding and data, and collaboration with big names! We Are One Team!
#Marketing #ConsumerBehavior #DecisionMakingWe offer a comprehensive understanding of consumer responses to generative AI and its services/products, using experimental methods.
We explore lay beliefs about AI for personnel selection by collaborating with AI companies, carrying out field experiments, and conducting quantitative data analysis.
We collect real consumer interaction data with AI chatbots to understand their behaviors and attitudes toward these technologies.
Exploring the creation of smart organizations using AI, studying how experts use data in daily tasks, and developing interactive databases for niche fields like synthetic biology.
#AI #Data practices #Organization design #Human-computer interaction #Strategic managementWe draw on ideas and technologies from the AI field to theorize and design intelligent organizations. Our research is interdisciplinary, spanning management and organization theory, AI, database theory, human-computer interaction, and strategic management.
We conduct ethnographic research on how domain experts, as end-users of data science and AI systems, interact with data in their everyday work practices and settings.
We construct datasets in specific domains (e.g., synthetic biology) and theorize and design interactive database management systems.