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Book
Analytics for the Sharing Economy: Mathematics, Engineering and Business Perspectives
Authors: --- --- --- --- --- et al.
ISBN: 3030350320 3030350312 Year: 2020 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

The book provides an encompassing overview of all aspects relating to the sharing economy paradigm in different fields of study, and shows the ongoing research efforts in filling previously identified gaps in understanding in this area. Control and optimization analytics for the sharing economy explores bespoke analytics, tools, and business models that can be used to help design collaborative consumption services (the shared economy). It provides case studies of collaborative consumption in the areas of energy and mobility. The contributors review successful examples of sharing systems, and explore the theory for designing effective and stable shared-economy models. They discuss recent innovations in and uses of shared economy models in niche areas, such as energy and mobility. Readers learn the scientific challenging issues associated with the realization of a sharing economy. Conceptual and practical matters are examined, and the state-of-the-art tools and techniques to address such applications are explained. The contributors also show readers how topical problems in engineering, such as energy consumption in power grids, or bike sharing in transportation networks, can be formulated and solved from a general collaborative consumption perspective. Since the book takes a mathematical perspective to the topic, researchers in business, computer science, optimization and control find it useful. Practitioners also use the book as a point of reference, as it explores and investigates the analytics behind economy sharing.

Keywords

Cooperation. --- Collaborative economy --- Cooperative distribution --- Cooperative movement --- Distribution, Cooperative --- Peer-to-peer economy --- Sharing economy --- Economics --- Profit-sharing --- Control engineering. --- System theory. --- Production management. --- Operations research. --- Management science. --- Renewable energy resources. --- Pollution. --- Control and Systems Theory. --- Systems Theory, Control. --- Production. --- Operations Research, Management Science. --- Renewable and Green Energy. --- Pollution, general. --- Chemical pollution --- Chemicals --- Contamination of environment --- Environmental pollution --- Pollution --- Contamination (Technology) --- Asbestos abatement --- Bioremediation --- Environmental engineering --- Environmental quality --- Factory and trade waste --- Hazardous waste site remediation --- Hazardous wastes --- In situ remediation --- Lead abatement --- Pollutants --- Refuse and refuse disposal --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Manufacturing management --- Industrial management --- Systems, Theory of --- Systems science --- Science --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Environmental aspects --- Philosophy --- Automatic control.


Book
Analytics for the Sharing Economy: Mathematics, Engineering and Business Perspectives
Authors: --- --- --- --- --- et al.
ISBN: 9783030350321 Year: 2020 Publisher: Cham Springer International Publishing :Imprint: Springer


Digital
Analytics for the Sharing Economy: Mathematics, Engineering and Business Perspectives
Authors: --- --- --- --- --- et al.
ISBN: 9783030350321 Year: 2020 Publisher: Cham Springer International Publishing

Loading...
Export citation

Choose an application

Bookmark

Abstract

The book provides an encompassing overview of all aspects relating to the sharing economy paradigm in different fields of study, and shows the ongoing research efforts in filling previously identified gaps in understanding in this area. Control and optimization analytics for the sharing economy explores bespoke analytics, tools, and business models that can be used to help design collaborative consumption services (the shared economy). It provides case studies of collaborative consumption in the areas of energy and mobility. The contributors review successful examples of sharing systems, and explore the theory for designing effective and stable shared-economy models. They discuss recent innovations in and uses of shared economy models in niche areas, such as energy and mobility. Readers learn the scientific challenging issues associated with the realization of a sharing economy. Conceptual and practical matters are examined, and the state-of-the-art tools and techniques to address such applications are explained. The contributors also show readers how topical problems in engineering, such as energy consumption in power grids, or bike sharing in transportation networks, can be formulated and solved from a general collaborative consumption perspective. Since the book takes a mathematical perspective to the topic, researchers in business, computer science, optimization and control find it useful. Practitioners also use the book as a point of reference, as it explores and investigates the analytics behind economy sharing.

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