About this Course

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Approx. 14 hours to complete
English
Subtitles: English
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 14 hours to complete
English
Subtitles: English

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Università Bocconi

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

THE INNOVATION DECISION

3 hours to complete
14 videos (Total 106 min), 3 readings, 1 quiz
14 videos
Operation efficiency vs strategic efficiency3m
What data can and cannot do4m
Strategic efficiency4m
What does the scientific approach do: the Galilean manager5m
Inkdome case5m
What is innovation7m
The structure of the innovation decision15m
Risk and Uncertainty11m
Type I and type II errors in innovation decisions6m
Interactive tour of the Museum of Failure3m
The Building blocks: Theory, Hypotheses, Tests, Analysis12m
Formulate and apply theories to managerial problems11m
Tools: business model canvas and other tools8m
3 readings
Readings & Videos10m
Recap slides10m
Background material (extended slides)10m
1 practice exercise
Week 110m
Week
2

Week 2

4 hours to complete

THEORY AND DATA FOR INNOVATION MANAGEMENT

4 hours to complete
16 videos (Total 140 min), 3 readings, 3 quizzes
16 videos
Conditional probabilities and the Bayes Theorem12m
The scientific approach15m
Using the organization to set the decision rule7m
How to derive hypotheses from a theory6m
Hypotheses and their context [p values don’t always matter]5m
Cases4m
Design and logic of hypothesis testing (download the attached datasets)12m
The use of experiments in innovation management11m
Randomized Control Trials7m
Split and multivariate tests12m
Quasi Experimental Design6m
Innovation metrics11m
Metrics validity and reliability5m
Metrics validity7m
Metrics reliability8m
3 readings
Readings & Videos10m
Recap slides10m
Background material (extended slides)10m
3 practice exercises
Exercise 115m
Exercise 215m
Week 210m
Week
3

Week 3

2 hours to complete

DATA ANALYSIS

2 hours to complete
8 videos (Total 63 min), 3 readings, 1 quiz
8 videos
Regression analysis: Theory11m
Regression analysis: Application9m
Interview with Mimoto: paving the way for electric mobility using a scientific approach8m
Interview with Eni Gas and Power: leveraging big data to uncover customer preferences8m
Using data to answer important questions at Google3m
How firms and startups can gather and analyze data to test hypotheses6m
Reflection critical evaluation5m
3 readings
Readings & Videos10m
Recap slides10m
Background material (extended slides)10m
1 practice exercise
Week 310m
Week
4

Week 4

2 hours to complete

ADVANCED TOOLS FOR INNOVATION MANAGEMENT DECISIONS

2 hours to complete
7 videos (Total 53 min), 3 readings, 1 quiz
7 videos
Difference-in-difference approach: Examples (download the attached datasets)9m
Instrumental variables: Theory (download the attached datasets)9m
Instrumental variables: Examples (download the attached datasets)5m
Data science vs causal links4m
Machine learning for innovation management decisions5m
Summary, conclusions, limitations of the scientific approach8m
3 readings
Readings & Videos10m
Recap slides10m
Background material (extended slides)10m
1 practice exercise
Week 410m

Reviews

TOP REVIEWS FROM A SCIENTIFIC APPROACH TO INNOVATION MANAGEMENT

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