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商管研究中的賽局分析（二）：資訊經濟學 (Game Theoretic Analysis for Business Research (2))
孔令傑 (Ling-Chieh Kung)
孔令傑 (Ling-Chieh Kung)
延續本系列的第一門課「商管研究中的賽局分析」，本課程將繼續介紹如何利用賽局理論的模型與均衡分析探討商管領域中的各種議題。本課程將圍繞著「資訊」展開，介紹資訊不對稱的基本類別、如何將資訊不對稱納入模型中、模型求解的基本概念，以及應用案例。學完本課程的同學將具有對商管環境中的資訊不對稱議題進行理論研究的基本能力。
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What's inside
Syllabus
資訊經濟學簡介
在本週的課程中，我們將用輕鬆愉快的方式，為資訊經濟學與這門課做一個簡單的介紹。我們將用一些生活中的例子說明幾個重要的概念，包括資訊不對稱、道德風險、逆向選擇、篩選問題和訊號問題等，並且來闡述。
篩選模型
本週我們將進入模型的世界，學習如何用經濟模型來描述看不見、摸不著的資訊不對稱。我們將從篩選問題出發，用一個簡單的定價問題來介紹最經典、最基本的二元隱藏資訊篩選模型、其求解的方式，以及均衡解能帶給我們的經濟直覺與管理意涵。
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Syllabus
資訊經濟學簡介
在本週的課程中，我們將用輕鬆愉快的方式，為資訊經濟學與這門課做一個簡單的介紹。我們將用一些生活中的例子說明幾個重要的概念，包括資訊不對稱、道德風險、逆向選擇、篩選問題和訊號問題等，並且來闡述。
篩選模型
本週我們將進入模型的世界，學習如何用經濟模型來描述看不見、摸不著的資訊不對稱。我們將從篩選問題出發，用一個簡單的定價問題來介紹最經典、最基本的二元隱藏資訊篩選模型、其求解的方式，以及均衡解能帶給我們的經濟直覺與管理意涵。
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篩選模型之應用：篩選零售夥伴的需求預測能力
延續上週的課程，本週我們用一個供應鏈管理的例子，一方面介紹在更為複雜的環境中如何建立與分析篩選模型，一方面也展示篩選模型能如何被應用以獲得「不直觀，但可以被解釋」的研究結論。
傳訊模型
本週起我們轉向另一個重要的議題：訊號問題，並介紹如何建構與求解傳訊模型。我們將從最基本的二元決策出發，說明如何建構模型，以探討一個決策者如何透過非 A 則 B 的選擇去傳遞自身的隱藏資訊。我們也將介紹如何建構與分析連續決策傳訊模型。
傳訊模型之應用：傳遞醫療儀器之可靠度訊號
延續上週的例子，我們以一個貴重醫療儀器銷售與採購的例子來說明傳訊模型的應用，一方面介紹在更為複雜的環境中如何建立與分析傳訊模型，一方面也展示傳訊模型能如何被應用以解釋實際場域中觀察到的現象。
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Know what's good ,
what to watch for , and
possible dealbreakers
Taught by recognized instructors
Covers a valuable, multifaceted topic
Provides a foundation in information economics
Teaches screening models and their applications
Introduces and explains signaling models
Explores the application of signaling models
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Reviews summary
Finance course with business applications
This graduate-level course introduces how the framework of game theory can be applied to business situations. The course is part of a two-part series that focuses on applying game theory to business research. This part of the series will specifically focus on the role of information in business settings.
Learners gain experience in constructing economic models.
"In this week's class, we will enter the world of models and learn how to use economic models to describe the invisible and intangible information asymmetry."
Learners can apply models to real business scenarios.
"Continuing from last week's class, this week we will use an example of supply chain management to introduce how to establish and analyze screening models in a more complex environment, and to demonstrate how screening models can be applied to obtain 'counter-intuitive but explainable' research conclusions."
Learners will be able to analyze situations where parties have unequal information.
"Continuing this series of the first course 'Game Theoretic Analysis for Business Research', this course will continue to introduce how to use game theory models and equilibrium analysis to explore various issues in the business field."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in 商管研究中的賽局分析（二）：資訊經濟學 (Game Theoretic Analysis for Business Research (2)) with these
activities:
Review previous coursework or materials on microeconomics
Show steps
Refresh foundational knowledge in microeconomics, which is essential for understanding information asymmetry.
Browse courses on
Microeconomics
Show steps
-
Review textbooks, lecture notes, or online resources on microeconomics
-
Focus on concepts related to market structures, market equilibrium, and game theory
-
Consider using practice problems or simulations to reinforce understanding
Compile a course pack
Show steps
Organize course materials into a cohesive pack to aid with efficient review and referencing.
Show steps
-
Gather notes, assignments, and quizzes
-
Organize materials by topic or module
-
Consider creating a digital or physical folder system
Practice basic game theory concepts
Show steps
Strengthen foundational understanding of game theory principles before engaging with advanced concepts.
Browse courses on
Game Theory
Show steps
-
Review key definitions and concepts (e.g., dominant strategy, Nash equilibrium)
-
Solve simple game theory problems using graphical or analytical methods
-
Consider using online resources or textbooks for additional practice
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve practice problems on information asymmetry models
Show steps
Enhance analytical skills and reinforce understanding of information asymmetry models through targeted practice.
Browse courses on
Analytical Skills
Show steps
-
Gather practice problems from textbooks, online resources, or the course itself
-
Solve the problems using appropriate methods and assumptions
-
Check your solutions and identify areas for improvement
Explore online simulations or games related to information asymmetry
Show steps
Deepen understanding of information asymmetry through interactive and engaging simulations or games.
Show steps
-
Identify online simulations or games that illustrate information asymmetry concepts
-
Participate in the simulation or game and observe the effects of information asymmetry
-
Reflect on the experience and how it enhances your understanding
Develop a case study analysis
Show steps
Apply course concepts to real-world scenarios through a comprehensive case study analysis.
Show steps
-
Identify a relevant case study or business example
-
Analyze the case study using information asymmetry models
-
Formulate recommendations or solutions based on the analysis
-
Present the analysis in a written report or presentation
Engage in peer discussions or study groups
Show steps
Foster deeper understanding through discussions and collaboration with peers on information asymmetry topics.
Browse courses on
Collaborative Learning
Show steps
-
Form or join a peer discussion or study group
-
Choose topics related to information asymmetry for discussion
-
Share perspectives, ask questions, and challenge each other's understanding
Write a blog post or article on a specific aspect of information asymmetry
Show steps
Solidify understanding and enhance communication skills by creating a written piece that explores a specific aspect of information asymmetry.
Show steps
-
Choose a specific topic or angle within information asymmetry
-
Research and gather information from credible sources
-
Organize your thoughts and formulate an outline
-
Write a well-structured and engaging article
Review previous coursework or materials on microeconomics
Show steps
Refresh foundational knowledge in microeconomics, which is essential for understanding information asymmetry.
Browse courses on
Microeconomics
Show steps
Show steps
Show steps
- Review textbooks, lecture notes, or online resources on microeconomics
- Focus on concepts related to market structures, market equilibrium, and game theory
- Consider using practice problems or simulations to reinforce understanding
Compile a course pack
Show steps
Organize course materials into a cohesive pack to aid with efficient review and referencing.
Show steps
Show steps
Show steps
- Gather notes, assignments, and quizzes
- Organize materials by topic or module
- Consider creating a digital or physical folder system
Practice basic game theory concepts
Show steps
Strengthen foundational understanding of game theory principles before engaging with advanced concepts.
Browse courses on
Game Theory
Show steps
Show steps
Show steps
- Review key definitions and concepts (e.g., dominant strategy, Nash equilibrium)
- Solve simple game theory problems using graphical or analytical methods
- Consider using online resources or textbooks for additional practice
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve practice problems on information asymmetry models
Show steps
Enhance analytical skills and reinforce understanding of information asymmetry models through targeted practice.
Browse courses on
Analytical Skills
Show steps
Show steps
Show steps
- Gather practice problems from textbooks, online resources, or the course itself
- Solve the problems using appropriate methods and assumptions
- Check your solutions and identify areas for improvement
Explore online simulations or games related to information asymmetry
Show steps
Deepen understanding of information asymmetry through interactive and engaging simulations or games.
Show steps
Show steps
Show steps
- Identify online simulations or games that illustrate information asymmetry concepts
- Participate in the simulation or game and observe the effects of information asymmetry
- Reflect on the experience and how it enhances your understanding
Develop a case study analysis
Show steps
Apply course concepts to real-world scenarios through a comprehensive case study analysis.
Show steps
Show steps
Show steps
- Identify a relevant case study or business example
- Analyze the case study using information asymmetry models
- Formulate recommendations or solutions based on the analysis
- Present the analysis in a written report or presentation
Engage in peer discussions or study groups
Show steps
Foster deeper understanding through discussions and collaboration with peers on information asymmetry topics.
Browse courses on
Collaborative Learning
Show steps
Show steps
Show steps
- Form or join a peer discussion or study group
- Choose topics related to information asymmetry for discussion
- Share perspectives, ask questions, and challenge each other's understanding
Write a blog post or article on a specific aspect of information asymmetry
Show steps
Solidify understanding and enhance communication skills by creating a written piece that explores a specific aspect of information asymmetry.
Show steps
Show steps
Show steps
- Choose a specific topic or angle within information asymmetry
- Research and gather information from credible sources
- Organize your thoughts and formulate an outline
- Write a well-structured and engaging article
Career center
Learners who complete 商管研究中的賽局分析（二）：資訊經濟學 (Game Theoretic Analysis for Business Research (2)) will develop knowledge and skills
that may be useful to these careers:
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve problems and improve efficiency in organizations. Those interested in a career as an Operations Research Analyst may find the Game Theoretic Analysis for Business Research (2) course helpful for learning about topics such as market analysis and decision-making under uncertainty.
Market Research Analyst
Market Research Analyst
Market Research Analysts study market conditions and trends to help businesses make better decisions about product development, marketing, and sales. Those interested in a career as a Market Research Analyst may find the Game Theoretic Analysis for Business Research (2) course helpful as it introduces concepts related to analyzing market information and making predictions about consumer behavior.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical methods to analyze data and develop models to make investment decisions. The Game Theoretic Analysis for Business Research (2) course may be useful for those interested in a career as a Quantitative Analyst as it provides a foundation in market analysis and decision-making under uncertainty.
Strategy Consultant
Strategy Consultant
Strategy Consultants help organizations develop and implement strategies to achieve their goals. The Game Theoretic Analysis for Business Research (2) course may be useful for those interested in a career as a Strategy Consultant as it provides a foundation in market analysis and strategic decision-making.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. The Game Theoretic Analysis for Business Research (2) course may be useful for those interested in a career as a Product Manager as it provides a foundation in market analysis and strategic decision-making.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns to promote products and services. The Game Theoretic Analysis for Business Research (2) course may be helpful for those interested in a career as a Marketing Manager as it provides a foundation in market analysis and consumer behavior.
Sales Manager
Sales Manager
Sales Managers lead and motivate sales teams to achieve sales targets. The Game Theoretic Analysis for Business Research (2) course may be useful for those interested in a career as a Sales Manager as it provides a foundation in market analysis and strategic decision-making.
Management Consultant
Management Consultant
Management Consultants help organizations improve their performance by providing advice and recommendations on strategy, operations, and technology. The Game Theoretic Analysis for Business Research (2) course may be useful for Management Consultants as it provides a foundation in market analysis and strategic decision-making.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts provide insights and recommendations to help organizations make better decisions by analyzing data, identifying trends, and recommending actions. The Game Theoretic Analysis for Business Research (2) course can be helpful for Business Intelligence Analysts as it teaches about models and analysis for making strategic business decisions.
Risk Manager
Risk Manager
Risk Managers identify, assess, and manage risks to an organization. The Game Theoretic Analysis for Business Research (2) course may be useful for those interested in a career as a Risk Manager as it provides a foundation in market analysis and decision-making under uncertainty.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various business domains. The Game Theoretic Analysis for Business Research (2) course may be useful for those interested in a career as a Data Scientist as it provides a foundation in information economics and market analysis, which are important concepts in data science.
Economist
Economist
Economists apply economic theory and principles to analyze data, forecast trends, and make recommendations on economic policy and financial strategy within businesses, government, and non-profit organizations. Those interested in a career as an Economist may find the Game Theoretic Analysis for Business Research (2) course helpful for learning about topics such as information economics and market analysis concepts.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help organizations make better decisions. Those interested in this career may find the Game Theoretic Analysis for Business Research (2) course helpful for gaining a foundation in information economics.
Financial Analyst
Financial Analyst
Financial Analysts provide insights and recommendations to help organizations make better decisions about investments, mergers and acquisitions, and other financial matters. The Game Theoretic Analysis for Business Research (2) course may be useful for Financial Analysts as it covers topics such as information asymmetry and market analysis.
Systems Analyst
Systems Analyst
Systems Analysts design, implement, and maintain computer systems. The Game Theoretic Analysis for Business Research (2) course may be useful for those interested in a career as a Systems Analyst as it provides a foundation in data analysis and modeling.
For more career information including salaries, visit:
OpenCourser.com/course/x1uyew/Shang
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
商管研究中的賽局分析（二）：資訊經濟學 (Game Theoretic Analysis for Business Research (2)).
提供賽局理論的紮實基礎，有助於理解資訊經濟學中賽局建模和分析的基礎原理。
這本經典著作探討了資訊不對稱在經濟活動中的各種應用，包括拍賣、保險和信號傳遞。它提供了深入的理論分析，有助於理解資訊經濟學的基礎。
本書為賽局理論教科書，對於賽局理論的基礎概念、分析方法有深入的探討，可作為本課程的補充教材。
提供產業組織理論的全面介紹，有助於將資訊經濟學的原理應用於產業分析中。
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這本書探索了資訊不對稱在衝突和協商中的作用。它提供了獨特的見解，有助於理解競爭性環境中的戰略決策。
探討有限理性的概念，有助於理解資訊經濟學中決策者行為建模的複雜性。
這本教科書提供了賽局理論的基礎介紹，包含了資訊不對稱的基本概念。它適合沒有賽局理論背景的學生。
提供計量經濟學分析的深入介紹，有助於理解資訊經濟學中實證研究的方法。
Save
這本入門教科書提供了賽局理論的清晰介紹，包含了資訊不對稱的基本概念。它適合沒有賽局理論背景的學生。
Save
探討賽局理論中合作的議題，有助於理解資訊經濟學中聯盟和協商的形成和維持。
Save
討論認知心理學和神經科學對經濟行為的影響，有助於理解資訊經濟學中決策者有限理性的基礎。
探討拍賣設計和競標策略，有助於理解資訊經濟學中資訊不對稱對拍賣結果的影響。
For more information about how these books relate to this course, visit:
OpenCourser.com/course/x1uyew/Shang
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Effort
課程共 5 週，預估每週學習時數為 3-5 小時
Level
Intermediate
Via
Coursera
Institution
National Taiwan University
Instructor
孔令傑 (Ling-Chieh Kung)
Language
中文
Good to know
Taught by recognized instructors
Covers a valuable, multifaceted topic
Provides a foundation in information economics
Teaches screening models and their applications
Introduces and explains signaling models
Explores the application of signaling models
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