À propos de ce cours

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Dates limites flexibles

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Approx. 14 heures pour terminer

Recommandé : 6 hours/week...

Anglais

Sous-titres : Anglais

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Approx. 14 heures pour terminer

Recommandé : 6 hours/week...

Anglais

Sous-titres : Anglais

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
3 heures pour terminer

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 vidéos (Total 106 min), 3 lectures, 1 quiz
14 vidéos
Operation efficiency vs strategic efficiency3 min
What data can and cannot do4 min
Strategic efficiency4 min
What does the scientific approach do: the Galilean manager5 min
Inkdome case5 min
What is innovation7 min
The structure of the innovation decision15 min
Risk and Uncertainty11 min
Type I and type II errors in innovation decisions6 min
Interactive tour of the Museum of Failure3 min
The Building blocks: Theory, Hypotheses, Tests, Analysis12 min
Formulate and apply theories to managerial problems11 min
Tools: business model canvas and other tools8 min
3 lectures
Readings & Videos10 min
Recap slides10 min
Background material (extended slides)10 min
1 exercice pour s'entraîner
Week 110 min
Semaine
2
4 heures pour terminer

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 vidéos (Total 140 min), 3 lectures, 3 quiz
16 vidéos
Conditional probabilities and the Bayes Theorem12 min
The scientific approach15 min
Using the organization to set the decision rule7 min
How to derive hypotheses from a theory6 min
Hypotheses and their context [p values don’t always matter]5 min
Cases4 min
Design and logic of hypothesis testing (download the attached datasets)12 min
The use of experiments in innovation management11 min
Randomized Control Trials7 min
Split and multivariate tests12 min
Quasi Experimental Design6 min
Innovation metrics11 min
Metrics validity and reliability5 min
Metrics validity7 min
Metrics reliability8 min
3 lectures
Readings & Videos10 min
Recap slides10 min
Background material (extended slides)10 min
3 exercices pour s'entraîner
Exercise 115 min
Exercise 215 min
Week 210 min
Semaine
3
2 heures pour terminer

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....
6 vidéos (Total 47 min), 3 lectures, 1 quiz
6 vidéos
Regression analysis: Theory11 min
Regression analysi: Application9 min
Using data to answer important questions at Google3 min
How firms and startups can gather and analyze data to test hypotheses6 min
Reflection critical evaluation5 min
3 lectures
Readings & Videos10 min
Recap slides10 min
Background material (extended slides)10 min
1 exercice pour s'entraîner
Week 310 min
Semaine
4
2 heures pour terminer

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 vidéos (Total 53 min), 3 lectures, 1 quiz
7 vidéos
Difference-in-difference approach: Examples (download the attached datasets)9 min
Instrumental variables: Theory (download the attached datasets)9 min
Instrumental variables: Examples (download the attached datasets)5 min
Data science vs causal links4 min
Machine learning for innovation management decisions5 min
Summary, conclusions, limitations of the scientific approach8 min
3 lectures
Readings & Videos10 min
Recap slides10 min
Background material (extended slides)10 min
1 exercice pour s'entraîner
Week 410 min

Enseignants

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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

À propos de Université 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....

Foire Aux Questions

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous achetez un Certificat, vous bénéficiez d'un accès à tout le contenu du cours, y compris les devoirs notés. Lorsque vous avez terminé et réussi le cours, votre Certificat électronique est ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

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