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A Scientific Approach to Innovation Management

Università Bocconi

About this Course

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How can innovators understand if their idea is worth developing and pursuing? In this course, we lay out a systematic process to make strategic decisions about innovative product or services that will help entrepreneurs, managers and innovators to avoid common pitfalls. We teach students to assess the feasibility of an innovative idea through problem-framing techniques and rigorous data analysis labelled ‘a scientific approach’. The course is highly interactive and includes exercises and real-world applications. We will also show the implications of a scientific approach to innovation management through a wide range of examples and case studies.

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Approx. 13 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Approx. 13 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.53/5 (15 Ratings)

Offered by

Università Bocconi

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Syllabus - What you will learn from this course

Week1

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.

3 hours to complete

15 videos (Total 108 min), 3 readings, 1 quiz

15 videos

Welcome to the course6mOperation efficiency vs strategic efficiency3mWhat data can and cannot do4mStrategic efficiency4mWhat does the scientific approach do: the Galilean manager5mInkdome case5mWhat is innovation7mThe structure of the innovation decision15mRisk and Uncertainty11mType I and type II errors in innovation decisions6mInteractive tour of the Museum of Failure3mAntecedents of the Scientific Approach9mThe Building Blocks: THEED4mFormulate and apply theories to managerial problems11mTools: business model canvas and other tools8m

3 readings

Readings & Videos10mRecap slides10mBackground material (extended slides)10m

1 practice exercise

Week 110m

Week2

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.

4 hours to complete

17 videos (Total 140 min), 3 readings, 3 quizzes

17 videos

Basic tools: probabilities6mConditional probabilities and the Bayes Theorem8mThe Scientific Approach: Theory and Mechanisms10mUsing the organization to set the decision rule7mThe Scientific Approach: summary and its use in practice9mHow to derive hypotheses from a theory6mHypotheses and their context [p values don’t always matter]5mCases4mDesign and logic of hypothesis testing (download the attached datasets)12mThe use of experiments in innovation management11mRandomized Control Trials7mSplit and multivariate tests12mQuasi Experimental Design6mInnovation metrics11mMetrics validity and reliability5mMetrics validity7mMetrics reliability8m

3 readings

Readings & Videos10mRecap slides10mBackground material (extended slides)10m

3 practice exercises

Exercise 115mExercise 215mWeek 210m

Week3

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.

2 hours to complete

8 videos (Total 63 min), 3 readings, 1 quiz

8 videos

Correlation vs causality9mRegression analysis: Theory11mRegression analysis: Application9mInterview with Mimoto: paving the way for electric mobility using a scientific approach8mInterview with Eni Gas and Power: leveraging big data to uncover customer preferences8mUsing data to answer important questions at Google3mHow firms and startups can gather and analyze data to test hypotheses6mReflection critical evaluation5m

3 readings

Readings & Videos10mRecap slides10mBackground material (extended slides)10m

1 practice exercise

Week 310m

Week4

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.

2 hours to complete

7 videos (Total 53 min), 3 readings, 1 quiz

7 videos

Difference-in-difference approach: Theory (download the attached datasets)10mDifference-in-difference approach: Examples (download the attached datasets)9mInstrumental variables: Theory (download the attached datasets)9mInstrumental variables: Examples (download the attached datasets)5mData science vs causal links4mMachine learning for innovation management decisions5mSummary, conclusions, limitations of the scientific approach8m

3 readings

Readings & Videos10mRecap slides10mBackground material (extended slides)10m

1 practice exercise

Week 410m

Reviews

4.6

20 reviews

5 stars
75%
4 stars
17.18%
3 stars
4.68%
2 stars
3.12%

TOP REVIEWS FROM A SCIENTIFIC APPROACH TO INNOVATION MANAGEMENT

by JWApr 10, 2022

Really good course that helped me de-mystifying several areas within innovation management.

View all reviews

Frequently Asked Questions

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Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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A Scientific Approach to Innovation Management

A Scientific Approach to Innovation Management

About this Course

Instructors

Alfonso Gambardella

Arnaldo Camuffo

Chiara Spina

Offered by

Università Bocconi

Syllabus - What you will learn from this course

THE INNOVATION DECISION

THEORY AND DATA FOR INNOVATION MANAGEMENT

DATA ANALYSIS

ADVANCED TOOLS FOR INNOVATION MANAGEMENT DECISIONS

FINAL PROJECT

Reviews

TOP REVIEWS FROM A SCIENTIFIC APPROACH TO INNOVATION MANAGEMENT

Frequently Asked Questions

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A Scientific Approach to Innovation Management

A Scientific Approach to Innovation Management

About this Course

Instructors

Alfonso Gambardella

Arnaldo Camuffo

Chiara Spina

Offered by

Università Bocconi

Syllabus - What you will learn from this course

THE INNOVATION DECISION

THEORY AND DATA FOR INNOVATION MANAGEMENT

DATA ANALYSIS

ADVANCED TOOLS FOR INNOVATION MANAGEMENT DECISIONS

FINAL PROJECT

Reviews

TOP REVIEWS FROM A SCIENTIFIC APPROACH TO INNOVATION MANAGEMENT

Frequently Asked Questions

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