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Alfonso Gambardella, Arnaldo Camuffo, and Chiara Spina

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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Syllabus

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.
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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
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.
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
FINAL PROJECT

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds off existing foundation and strengthens skills
Develops core skills for innovation management
Taught by instructors who are recognized for their work in innovation management
Examines the latest methods and best practices for scientific innovation
Covers the advanced approaches, such as causality and big data
Relevant to the industry

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Reviews summary

Scientific approach to innovation management

Learners say that this well-received course is a great way to learn about scientific methods in management. Students describe this course as challenging, but feel that it is worth the effort. While learners particularly appreciate the quality and clarity of videos and examples, some students recommend supplementing the materials with text lessons.
Course includes optional materials
"The course themes are very interesting, as the optional material."
Covers a wide range of topics
"Top"
"Recomend for all innovation managers"
"Intense content and concise explanation"
Course is scientifically rigorous
"When intuition is not enough and data are almost everywhere, managers should use these techniques."
"Excellent path to start understanding and using basic and more advanced scientific methods to managerial decision making."
"True to its name, this course delivers a clear explanation of the role of hypothesis-testing, the use of probabilities in decision making and how to choose the optimal path from the options available."
Course is well-paced and interesting
"course well done in terms of pace and content."
"Interesting course with scientific methods to evaluate business innovation."
"It's a really well designed course and the objectives are out across quite clearly"
Instructors do a great job explaining concepts
"My idea of ​​approaching decisions really changed thanks to this course. Professors are good at accompanying you along the way."
"Clear, concrete and useful. This course help you to think strategically when approaching an idea or you have to evaluate an idea in a broader context"
"The course challenged me and allowed to experiment a way of managerial thinking."
Videos and examples are high quality
"Really good course that helped me de-mystifying several areas within innovation management."
"Clear, concrete and useful. This course help you to think strategically when approaching an idea or you have to evaluate an idea in a broader context"
"It is a really nice course, because of good-quality videos and clear examples."
Students should have above-average math and statistics skills
"Overall I would recommend this course to students and professionals with prior statistics knowledge and a specific desire to deepen their skills on workable models."
Final project is peer-evaluated
"The only weak point is the final project evaluation: as it is done by peers, it happens to be very diverse and sometimes the feedback needed for improving the report is too scarce or ambiguous to be able to take action."
Some lessons may be difficult to follow
"Not an easy course to follow with a lot of videos and reading etc."
"La lógica detrás de la materia explicada es fácil de entender. La forma de explicar de los profesores no plasma esto, con lo cual hace que el material parezca mucho más complejo de lo que realmente es."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in A Scientific Approach to Innovation Management with these activities:
Review 'Strategic Innovation: How to Create and Sustain Competitive Advantage'
Develop a deeper understanding of the concepts of strategic innovation and their application in practice.
Show steps
  • Read Chapter 1: Introduction and Overview
  • Summarize the key concepts of strategic innovation
  • Identify examples of successful strategic innovations
Discuss Innovation Case Studies with Peers
Foster understanding of innovation through discussions and exchange of ideas with peers about concrete examples.
Browse courses on Innovation
Show steps
  • Find a peer group to discuss with
  • Select innovation case studies
  • Analyze the case studies and identify key insights
  • Present and discuss the insights with peers
Create a SWOT Analysis for a New Product Idea
Apply the SWOT analysis framework to evaluate the strengths, weaknesses, opportunities, and threats associated with a new product idea.
Browse courses on SWOT Analysis
Show steps
  • Identify the key strengths and weaknesses of the product idea
  • Analyze the market opportunities and threats for the product
  • Develop strategies to leverage the strengths and mitigate the weaknesses of the product
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow a Tutorial on Machine Learning for Innovation
Expand knowledge of machine learning and its applications in innovation through guided tutorials.
Browse courses on Machine Learning
Show steps
  • Choose a tutorial on machine learning for innovation
  • Follow the steps and complete the exercises in the tutorial
  • Apply the concepts learned to an innovation project
Practice Hypothesis Testing Using A/B Testing
Strengthen understanding of hypothesis testing through practical application in the context of A/B testing.
Browse courses on Hypothesis Testing
Show steps
  • Formulate a hypothesis about a website design change
  • Set up an A/B test to test the hypothesis
  • Collect and analyze the results of the test
  • Draw conclusions based on the results
Contribute to an Open-Source Innovation Community
Gain hands-on experience in innovation and collaboration through participation in an open-source community.
Browse courses on Open Source
Show steps
  • Choose an open-source community to contribute to
  • Identify a project or issue to work on
  • Submit a pull request with your contribution
Develop a Business Plan for an Innovative Product or Service
Demonstrate a comprehensive understanding of the process of developing and launching an innovative product or service by creating a business plan.
Browse courses on Business Plan
Show steps
  • Define the problem or opportunity that the product or service addresses
  • Develop a solution to the problem or opportunity
  • Identify the target market for the product or service
  • Develop a marketing and sales strategy
  • Create a financial plan

Career center

Learners who complete A Scientific Approach to Innovation Management will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use data to solve business problems. They work with data from a variety of sources to identify trends, patterns, and insights. The Scientific Approach to Innovation Management course can help Data Scientists develop the skills they need to analyze data and make data-driven decisions. The course teaches students how to formulate and test hypotheses, interpret data, and design and run experiments. This knowledge can help Data Scientists make more accurate predictions and recommendations.
Product Manager
Product Managers lead the development and launch of new products or features. They work with engineers, designers, and marketers to ensure that products meet customer needs and are successful in the marketplace. The Scientific Approach to Innovation Management course can help Product Managers develop the skills they need to make data-driven decisions about product development. The course teaches students how to assess the feasibility of an innovative idea, formulate and test hypotheses, and interpret data. This knowledge can help Product Managers avoid common pitfalls and make better decisions about which products to develop and launch.
Business Analyst
Business Analysts help businesses improve their operations and make better decisions. They work with stakeholders to identify problems and develop solutions. The Scientific Approach to Innovation Management course can help Business Analysts develop the skills they need to make data-driven decisions. The course teaches students how to formulate and test hypotheses, interpret data, and design and run experiments. This knowledge can help Business Analysts identify the root causes of problems and develop more effective solutions.
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products or services. They work with a variety of channels to reach target audiences. The Scientific Approach to Innovation Management course can help Marketing Managers develop the skills they need to make data-driven decisions about marketing campaigns. The course teaches students how to assess the feasibility of an innovative idea, formulate and test hypotheses, and interpret data. This knowledge can help Marketing Managers avoid common pitfalls and make better decisions about which campaigns to run.
Market Research Analyst
Market Research Analysts conduct research to understand the needs of customers and clients. They work with data from a variety of sources to identify trends, patterns, and insights. The Scientific Approach to Innovation Management course can help Market Research Analysts develop the skills they need to analyze data and make data-driven decisions. The course teaches students how to formulate and test hypotheses, interpret data, and design and run experiments. This knowledge can help Market Research Analysts make more accurate predictions and recommendations.
Innovation Consultant
Innovation Consultants help businesses develop and implement new products or services. They work with clients to identify opportunities for innovation and develop strategies to bring new products or services to market. The Scientific Approach to Innovation Management course can help Innovation Consultants develop the skills they need to make data-driven decisions about innovation. The course teaches students how to assess the feasibility of an innovative idea, formulate and test hypotheses, and interpret data. This knowledge can help Innovation Consultants make more accurate predictions and recommendations to their clients.
Sales Manager
Sales Managers lead sales teams and develop sales strategies. They work with customers to identify their needs and develop solutions. The Scientific Approach to Innovation Management course can help Sales Managers develop the skills they need to make data-driven decisions about sales strategies. The course teaches students how to assess the feasibility of an innovative idea, formulate and test hypotheses, and interpret data. This knowledge can help Sales Managers avoid common pitfalls and make better decisions about which sales strategies to use.
User Experience (UX) Researcher
UX Researchers study how users interact with products and services. They work with designers and engineers to improve the user experience. The Scientific Approach to Innovation Management course can help UX Researchers develop the skills they need to make data-driven decisions about user experience. The course teaches students how to formulate and test hypotheses, interpret data, and design and run experiments. This knowledge can help UX Researchers make more accurate predictions and recommendations about how to improve the user experience.
Operations Manager
Operations Managers oversee the day-to-day operations of a business. They work with employees to ensure that products and services are produced efficiently and effectively. The Scientific Approach to Innovation Management course may be useful for Operations Managers who are interested in developing new operations management techniques. The course teaches students how to assess the feasibility of an innovative idea, formulate and test hypotheses, and interpret data. This knowledge can help Operations Managers make better decisions about which operations management techniques to use and how to manage operations more effectively.
Software Engineer
Software Engineers design, develop, and maintain software systems. They work with a variety of programming languages and technologies to create software that meets the needs of users. The Scientific Approach to Innovation Management course may be useful for Software Engineers who are interested in developing software that is innovative and user-friendly. The course teaches students how to assess the feasibility of an innovative idea, formulate and test hypotheses, and interpret data. This knowledge can help Software Engineers make better decisions about which software features to develop and how to design software that is easy to use.
Project Manager
Project Managers lead teams and manage projects to completion. They work with stakeholders to define project goals and develop project plans. The Scientific Approach to Innovation Management course may be useful for Project Managers who are interested in developing new project management techniques. The course teaches students how to assess the feasibility of an innovative idea, formulate and test hypotheses, and interpret data. This knowledge can help Project Managers make better decisions about which project management techniques to use and how to manage projects more effectively.
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations. They work with investors to help them make informed decisions about where to invest their money. The Scientific Approach to Innovation Management course may be useful for Financial Analysts who are interested in developing new investment analysis techniques. The course teaches students how to assess the feasibility of an innovative idea, formulate and test hypotheses, and interpret data. This knowledge can help Financial Analysts make better decisions about which investment analysis techniques to use and how to make more accurate investment recommendations.
Statistician
Statisticians collect, analyze, and interpret data. They work with a variety of data sources to identify trends, patterns, and insights. The Scientific Approach to Innovation Management course may be useful for Statisticians who are interested in developing new statistical analysis techniques. The course teaches students how to assess the feasibility of an innovative idea, formulate and test hypotheses, and interpret data. This knowledge can help Statisticians make better decisions about which statistical analysis techniques to use and how to make more accurate predictions.
Teacher
Teachers develop and deliver lesson plans to teach students in a variety of subjects. They work with students to help them learn and grow. The Scientific Approach to Innovation Management course may be useful for Teachers who are interested in developing new teaching methods. The course teaches students how to assess the feasibility of an innovative idea, formulate and test hypotheses, and interpret data. This knowledge can help Teachers make better decisions about which teaching methods to use and how to teach students more effectively.
Writer
Writers create written content for a variety of purposes, such as marketing, journalism, and creative writing. They work with words to communicate ideas and stories. The Scientific Approach to Innovation Management course may be useful for Writers who are interested in developing new writing techniques. The course teaches students how to assess the feasibility of an innovative idea, formulate and test hypotheses, and interpret data. This knowledge can help Writers make better decisions about which writing techniques to use and how to communicate ideas more effectively.

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in A Scientific Approach to Innovation Management.
Classic in the field of innovation management and provides a framework for understanding why large companies often fail to innovate successfully. It valuable read for anyone interested in the topic.
Identifies the five key skills that disruptive innovators need to master in order to succeed. It valuable read for anyone interested in developing their innovation capabilities.
Provides a revised and expanded edition of the classic work on innovation and disruption. It valuable read for anyone interested in learning more about the challenges of innovation in large organizations.
Provides a practical guide to developing and implementing a successful innovation strategy. It great resource for anyone involved in strategic planning or decision-making.
Provides a practical guide to using the lean startup methodology to develop and launch new products and services. It great resource for entrepreneurs and innovators.
Provides a timeless perspective on innovation and marketing. It great resource for anyone interested in learning more about the history of innovation and its impact on business.
Provides a practical guide to using design thinking to solve problems and create innovative solutions. It great resource for anyone interested in learning more about this approach.
Provides a step-by-step guide to using the lean product development process to create and launch new products. It great resource for anyone involved in product management or development.
Provides a framework for understanding the role of early adopters in the innovation process. It valuable read for anyone interested in learning more about how new products and services are adopted and diffused.
Provides a clear and concise framework for evaluating the quality of a strategy. It great resource for anyone involved in strategic planning or decision-making.
Provides a framework for understanding the challenges of marketing and selling new technologies to mainstream customers. It valuable read for anyone involved in product marketing or sales.

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