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A Scientific Approach to Innovation Management · LearnSpace
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A Scientific Approach to Innovation Management

Курс от Università Bocconi
Уровень не указан≈ 13.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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. This video is part of a project that has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 101021061)

Навыки, которые вы освоите

Decision MakingRegression AnalysisData AnalysisData-Driven Decision-MakingCorrelation AnalysisBig DataMachine LearningA/B TestingInnovationGeneral Science and ResearchStatistical Hypothesis TestingStrategic ThinkingEntrepreneurshipStatistical AnalysisComplex Problem SolvingProbability & StatisticsPerformance MetricStrategic Decision-Making

Программа курса

5 модулей · 70 учебных материалов

01THE INNOVATION DECISION20 материалов

Welcome

Welcome to the courseВидео

The scientific approach to innovation management: introduction

Operation efficiency vs strategic efficiencyВидеоWhat data can and cannot doВидеоStrategic efficiencyВидео

Учитесь у экспертов

Alfonso Gambardella

Professor of Corporate Management

Arnaldo Camuffo

Professor of Business Organization

Chiara Spina

Assistant Professor

A Scientific Approach to Innovation Management
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≈ 13.9 ч

5 модулей

Язык: Английский

Субтитры: Арабский, Французский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Хинди, Японский, Казахский, Польский

Часть программы вашего университета
What does the scientific approach do: the Galilean managerВидео
Inkdome caseВидео

Innovation as problem solving

What is innovationВидеоThe structure of the innovation decisionВидеоRisk and UncertaintyВидеоType I and type II errors in innovation decisionsВидеоInteractive tour of the Museum of FailureВидео

Using the scientific approach to innovation management

Antecedents of the Scientific ApproachВидеоThe Building Blocks: THEEDВидеоFormulate and apply theories to managerial problemsВидеоTools: business model canvas and other toolsВидео

Additional Resources

Readings & VideosЧтениеRecap slidesЧтениеBackground material (extended slides)Чтение

Review

Week 1ЗаданиеSo much data, so little analysis...Обсуждение
02THEORY AND DATA FOR INNOVATION MANAGEMENT24 материалов

The scientific approach to innovation management: tools, mechanisms and examples

Basic tools: probabilitiesВидеоConditional probabilities and the Bayes TheoremВидеоThe Scientific Approach: Theory and MechanismsВидеоExercise 1ЗаданиеExercise 2ЗаданиеUsing the organization to set the decision ruleВидеоThe Scientific Approach: summary and its use in practiceВидео

How to formulate hypotheses

How to derive hypotheses from a theoryВидеоHypotheses and their context [p values don’t always matter]ВидеоCasesВидео

Testing hypotheses with data

Design and logic of hypothesis testing (download the attached datasets)Видео

Testing hypotheses with experiments

The use of experiments in innovation managementВидеоRandomized Control TrialsВидеоSplit and multivariate testsВидеоQuasi Experimental DesignВидео

Metrics

Innovation metricsВидеоMetrics validity and reliabilityВидеоMetrics validityВидеоMetrics reliabilityВидео

Additional Resources

Readings & VideosЧтениеRecap slidesЧтениеBackground material (extended slides)Чтение

Review

Week 2ЗаданиеBarriers to the adoption of a scientific approach to innovation managementОбсуждение
03DATA ANALYSIS13 материалов

Using regression analysis

Correlation vs causalityВидеоRegression analysis: TheoryВидеоRegression analysis: ApplicationВидеоInterview with Mimoto: paving the way for electric mobility using a scientific approachВидеоInterview with Eni Gas and Power: leveraging big data to uncover customer preferencesВидео

Analysing real data: examples from established firms and start-ups

Using data to answer important questions at GoogleВидеоHow firms and startups can gather and analyze data to test hypothesesВидео

How to make sense of results

Reflection critical evaluationВидео

Additional Resources

Readings & VideosЧтениеRecap slidesЧтениеBackground material (extended slides)Чтение

Review

Week 3ЗаданиеReflecting on uncertaintyОбсуждение
04ADVANCED TOOLS FOR INNOVATION MANAGEMENT DECISIONS 12 материалов

Predicting causal links

Difference-in-difference approach: Theory (download the attached datasets)ВидеоDifference-in-difference approach: Examples (download the attached datasets)ВидеоInstrumental variables: Theory (download the attached datasets)ВидеоInstrumental variables: Examples (download the attached datasets)Видео

Using «big data» to make innovation management decisions

Data science vs causal linksВидеоMachine learning for innovation management decisionsВидео

Conclusions

Summary, conclusions, limitations of the scientific approachВидео

Additional Resources

Readings & VideosЧтениеRecap slidesЧтениеBackground material (extended slides)Чтение

Review

Week 4ЗаданиеDiscussing type 1 and type 2 errorsОбсуждение
05FINAL PROJECT1 материалов

Final Project

A Scientific Approach to Innovation Management - Final projectВзаимная проверка