课程信息
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完成时间(小时)

完成时间大约为14 小时

建议:6 hours/week...
可选语言

英语(English)

字幕:英语(English)
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为14 小时

建议:6 hours/week...
可选语言

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 3 小时

THE INNOVATION DECISION

We provide a general discussion of innovation as problem-solving and we link the discuss the building blocks of the scientific approach to innovation decisions – from how to formulate the problem, to how to formulate the hypotheses and the theory, and how to test them. The whole discussion will be framed and applied to concrete managerial problems, including a discussion of the specific managerial tools that facilitate the application of a scientific approach to innovation management....
Reading
14 个视频 (总计 106 分钟), 3 个阅读材料, 1 个测验
Video14 个视频
Operation efficiency vs strategic efficiency3分钟
What data can and cannot do4分钟
Strategic efficiency4分钟
What does the scientific approach do: the Galilean manager5分钟
Inkdome case5分钟
What is innovation7分钟
The structure of the innovation decision15分钟
Risk and Uncertainty11分钟
Type I and type II errors in innovation decisions6分钟
Interactive tour of the Museum of Failure3分钟
The Building blocks: Theory, Hypotheses, Tests, Analysis12分钟
Formulate and apply theories to managerial problems11分钟
Tools: business model canvas and other tools8分钟
Reading3 个阅读材料
Readings & Videos10分钟
Recap slides10分钟
Background material (extended slides)10分钟
Quiz1 个练习
Week 110分钟
2
完成时间(小时)
完成时间为 4 小时

THEORY AND DATA FOR INNOVATION MANAGEMENT

We provide more details about the scientific approach and we introduce probabilities to understand how and why certain decisions lead to some outcomes instead of others and how to make better decisions. We also focus on how to formulate and test hypotheses in practice, and how to interpret these tests. We finally discuss how to design and run experiments. NB: some videos may contain a downloadable database; please, download it and follow the in-video instructions...
Reading
16 个视频 (总计 140 分钟), 3 个阅读材料, 3 个测验
Video16 个视频
Conditional probabilities and the Bayes Theorem12分钟
The scientific approach15分钟
Using the organization to set the decision rule7分钟
How to derive hypotheses from a theory6分钟
Hypotheses and their context [p values don’t always matter]5分钟
Cases4分钟
Design and logic of hypothesis testing (download the attached datasets)12分钟
The use of experiments in innovation management11分钟
Randomized Control Trials7分钟
Split and multivariate tests12分钟
Quasi Experimental Design6分钟
Innovation metrics11分钟
Metrics validity and reliability5分钟
Metrics validity7分钟
Metrics reliability8分钟
Reading3 个阅读材料
Readings & Videos10分钟
Recap slides10分钟
Background material (extended slides)10分钟
Quiz3 个练习
Exercise 115分钟
Exercise 215分钟
Week 210分钟
3
完成时间(小时)
完成时间为 2 小时

DATA ANALYSIS

We cover the basics of data analysis, beginning with the distinction between correlation and causality in the analysis of data. We also teach how to make predictions using regression analysis and link these methods to the scientific approach, showing what role these analyses play, how they help to make scientific decisions and why. We complement this with real examples of companies using data to make innovation decisions. We close by discussing how to interpret these analyses and results critically to make sure we understand what we really learn from the analyses and when, how and why we should interpret our results cautiously and critically....
Reading
6 个视频 (总计 47 分钟), 3 个阅读材料, 1 个测验
Video6 个视频
Regression analysis: Theory11分钟
Regression analysi: Application9分钟
Using data to answer important questions at Google3分钟
How firms and startups can gather and analyze data to test hypotheses6分钟
Reflection critical evaluation5分钟
Reading3 个阅读材料
Readings & Videos10分钟
Recap slides10分钟
Background material (extended slides)10分钟
Quiz1 个练习
Week 310分钟
4
完成时间(小时)
完成时间为 2 小时

ADVANCED TOOLS FOR INNOVATION MANAGEMENT DECISIONS

This is s a more advanced part in which we discuss causality and provide the students with some broad exposure to big data and machine learning, and we discuss what they can do for managerial decisions.We provide a general wrap-up and conclusion of the course, including a discussion of when the scientific approach is most appropriate or has limitations. This helps to see when to apply it, or when to apply other approaches, including our own gut feelings. NB: some videos may contain a downloadable database; please, download it and follow the in-video instructions...
Reading
7 个视频 (总计 53 分钟), 3 个阅读材料, 1 个测验
Video7 个视频
Difference-in-difference approach: Examples (download the attached datasets)9分钟
Instrumental variables: Theory (download the attached datasets)9分钟
Instrumental variables: Examples (download the attached datasets)5分钟
Data science vs causal links4分钟
Machine learning for innovation management decisions5分钟
Summary, conclusions, limitations of the scientific approach8分钟
Reading3 个阅读材料
Readings & Videos10分钟
Recap slides10分钟
Background material (extended slides)10分钟
Quiz1 个练习
Week 410分钟

讲师

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Alfonso Gambardella

Professor of Corporate Management
Management and Technology
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Arnaldo Camuffo

Professor of Business Organization
Management and Technology
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Chiara Spina

Lecturer and Ph.D. Candidate
Management and Technology

关于 博科尼大学

Our ambition is to develop students' potential and foster knowledge in Business, Economics and Law through innovative learning and research activities in a multicultural environment. Bocconi is a community that constantly innovates teaching and learning technologies and that strongly believes in the power of life-long learning and networking. Now available online....

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