About this Course

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 14 hours to complete

Suggested: 6 hours/week...

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 14 hours to complete

Suggested: 6 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
3 hours to complete

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....
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
4 hours to complete

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...
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
2 hours to complete

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....
8 videos (Total 63 min), 3 readings, 1 quiz
8 videos
Regression analysis: Theory11m
Regression analysi: 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
2 hours to complete

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...
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

Instructors

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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

About Università Bocconi

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....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.