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.
A Scientific Approach to Innovation Management
oferecido por
Universidade Luigi Bocconi
Programa - O que você aprenderá com este curso
Semana
13 horas para concluir
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 vídeos (Total 106 mín.), 3 leituras, 1 teste
14 videos
Strategic efficiency4min
What does the scientific approach do: the Galilean manager5min
Inkdome case5min
What is innovation7min
The structure of the innovation decision15min
Risk and Uncertainty11min
Type I and type II errors in innovation decisions6min
Interactive tour of the Museum of Failure3min
The Building blocks: Theory, Hypotheses, Tests, Analysis12min
Formulate and apply theories to managerial problems11min
Tools: business model canvas and other tools8min
3 leituras
Readings & Videos10min
Recap slides10min
Background material (extended slides)10min
1 exercício prático
Week 110min
Semana
24 horas para concluir
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 vídeos (Total 140 mín.), 3 leituras, 3 testes
16 videos
Using the organization to set the decision rule7min
How to derive hypotheses from a theory6min
Hypotheses and their context [p values don’t always matter]5min
Cases4min
Design and logic of hypothesis testing (download the attached datasets)12min
The use of experiments in innovation management11min
Randomized Control Trials7min
Split and multivariate tests12min
Quasi Experimental Design6min
Innovation metrics11min
Metrics validity and reliability5min
Metrics validity7min
Metrics reliability8min
3 leituras
Readings & Videos10min
Recap slides10min
Background material (extended slides)10min
3 exercícios práticos
Exercise 115min
Exercise 215min
Week 210min
Semana
32 horas para concluir
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 vídeos (Total 63 mín.), 3 leituras, 1 teste
8 videos
Interview with Mimoto: paving the way for electric mobility using a scientific approach8min
Interview with Eni Gas and Power: leveraging big data to uncover customer preferences8min
Using data to answer important questions at Google3min
How firms and startups can gather and analyze data to test hypotheses6min
Reflection critical evaluation5min
3 leituras
Readings & Videos10min
Recap slides10min
Background material (extended slides)10min
1 exercício prático
Week 310min
Semana
42 horas para concluir
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 vídeos (Total 53 mín.), 3 leituras, 1 teste
7 videos
Instrumental variables: Examples (download the attached datasets)5min
Data science vs causal links4min
Machine learning for innovation management decisions5min
Summary, conclusions, limitations of the scientific approach8min
3 leituras
Readings & Videos10min
Recap slides10min
Background material (extended slides)10min
1 exercício prático
Week 410min
Instrutores
Alfonso Gambardella
Professor of Corporate ManagementManagement and Technology
Arnaldo Camuffo
Professor of Business OrganizationManagement and Technology
Chiara Spina
Lecturer and Ph.D. CandidateManagement and Technology
Sobre Universidade Luigi 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.
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