The different facets of the sharing economy offer numerous opportunities for businesses ? particularly those that can be distinguished by their creative ideas and their ability to easily connect buyers and senders of goods and services via digital platforms. At the beginning of the growth of this economy, the advanced digital technologies generated billions of bytes of data that constitute what we call Big Data.
This book underlines the facilitating role of Big Data analytics, explaining why and how data analysis algorithms can be integrated operationally, in order to extract value and to improve the practices of the sharing economy. It examines the reasons why these new techniques are necessary for businesses of this economy and proposes a series of useful applications that illustrate the use of data in the sharing ecosystem.
Autorentext
Soraya Sedkaoui is a Senior Lecturer at the University of Khemis Miliana, Algeria, as well as a data analyst and a strategic consultant. Her interests include Big Data, and the development of algorithms and models for business applications.
Mounia Khelfaoui is a Researcher and Maitre de conferences at the University of Khemis Miliana. Her research mainly focuses on sustainable development and all the relevant themes, with a focus on the social responsibility of organizations.
Inhalt
Preface xi
Introduction xiii
Part 1. The Sharing Economy or the Emergence of a New Business Model 1
Chapter 1. The Sharing Economy: A Concept Under Construction 3
1.1. Introduction 3
1.2. From simple sharing to the sharing economy 5
1.2.1. The genesis of the sharing economy and the break with consumer society 5
1.2.2. The sharing economy: which economy? 8
1.3. The foundations of the sharing economy 10
1.3.1. Peer-to-peer (P2P): a revolution in computer networks 10
1.3.2. The gift: the abstract aspect of the sharing economy 13
1.3.3. The service economy and the offer of use 18
1.4. Conclusion 24
Chapter 2. An Opportunity for the Business World 25
2.1. Introduction 25
2.2. Prosumption: a new sharing economy trend for the consumer 27
2.3. Poverty: a target in the spotlight of the shared economy 29
2.4. Controversies on economic opportunities of the sharing economy 31
2.5. Conclusion 37
Chapter 3. Risks and Issues of the Sharing Economy 39
3.1. Introduction 39
3.2. Uberization: a white grain or just a summer breeze? 40
3.3. The sharing economy: a disruptive model 43
3.4. Major issues of the sharing economy 47
3.5. Conclusion 50
Chapter 4. Digital Platforms and the Sharing Mechanism 51
4.1. Introduction 51
4.2. Digital platforms: What growth! 52
4.3. Digital platforms or technology at the service of the economy 54
4.4. From the sharing economy to the sharing platform economy 57
4.5. Conclusion 59
Part 2. Big Data Analytics at the Service of the Sharing Economy 61
Chapter 5. Beyond the Word Big: The Changes 63
5.1. Introduction 63
5.2. The 3 Vs and much more: volume, variety, velocity 64
5.2.1. Volume 65
5.2.2. The variety 66
5.2.3. Velocity 67
5.2.4. What else? 68
5.3. The growth of computing and storage capacities 69
5.3.1. Big Data versus Big Computing 70
5.3.2. Big Data storage 71
5.3.3. Updating Moore's Law 73
5.4. Business context change in the era of Big Data 74
5.4.1. The decision-making process and the dynamics of value creation 75
5.4.2. The emergence of new data-driven business models 77
5.5. Conclusion 78
Chapter 6. The Art of Analytics 81
6.1. Introduction 81
6.2. From simple analysis to Big Data analytics 82
6.2.1. Descriptive analysis: learning from past behavior to influence future outcomes 84
6.2.2. Predictive analysis: analyzing data to predict future outcomes 84
6.2.3. Prescriptive analysis: recommending one or more action plan(s) 85
6.2.4. From descriptive analysis to prescriptive analysis: an example 87
6.3. The process of Big Data analytics: from the data source to its analysis 88
6.3.1. Definition of objectives and requirements 90
6.3.2. Data collection 91
6.3.3. Data preparation 92
6.3.4. Exploration and interpretation 94
6.3.5. Modeling 95
6.3.6. Deployment 97
6.4. Conclusion 97
Chapter 7. Data and Platforms in the Sharing Context 99
7.1. Introduction 99
7.2. Pioneers in Big Data 101
7.2.1. Big Data on Walmart's shelves 101
7.2.2. The Big Data behind Netflix's success story 102
7.2.3. The Amazon version of Big Data 103
7.2.4. Big data and social networks: the case of Facebook 104
7.2.5. IBM and data analysis in the health sector 105
7.3. Data, essential for sharing 106
7.3.1. Data and platforms at the heart of the sharing economy 108
7.3.2. The data of sharing economy companies 110
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