Acerca de este Curso

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Fechas límite flexibles

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Aprox. 14 horas para completar

Sugerido: 6 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Aprox. 14 horas para completar

Sugerido: 6 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
3 horas para completar

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 minutos), 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 lecturas
Readings & Videos10m
Recap slides10m
Background material (extended slides)10m
1 ejercicio de práctica
Week 110m
Semana
2
4 horas para completar

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 minutos), 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 lecturas
Readings & Videos10m
Recap slides10m
Background material (extended slides)10m
3 ejercicios de práctica
Exercise 115m
Exercise 215m
Week 210m
Semana
3
2 horas para completar

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 minutos), 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 lecturas
Readings & Videos10m
Recap slides10m
Background material (extended slides)10m
1 ejercicio de práctica
Week 310m
Semana
4
2 horas para completar

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 minutos), 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 lecturas
Readings & Videos10m
Recap slides10m
Background material (extended slides)10m
1 ejercicio de práctica
Week 410m

Instructores

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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

Acerca de 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....

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando compras un Certificado, obtienes acceso a todos los materiales del curso, incluidas las tareas calificadas. Una vez que completes el curso, se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes participar del curso como oyente sin costo.

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