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Creating Value From Energy Data: A Practitioner’s Perspective on Data-Driven Smart Energy Business Models

  • Along the energy value chain where produced energy is delivered for consumption within individual households, physical devices are being replaced by smart and connected products referred to as the Internet of Things. These smart products generate large volumes of data that can enable new data-driven business models. In the energy sector, consumers produce data by consuming energy, which isAlong the energy value chain where produced energy is delivered for consumption within individual households, physical devices are being replaced by smart and connected products referred to as the Internet of Things. These smart products generate large volumes of data that can enable new data-driven business models. In the energy sector, consumers produce data by consuming energy, which is monitored and controlled by different smart energy products like microgeneration units or home automation devices. Although smart energy business models have been subject to academic research, the business value of data, which is created from smart energy products, remains unclear. Against this background, the paper presents a practitioners’ perspective on the data-driven potential of smart energy technologies for new business models, the constituting elements of these business models, and the challenges associated with their implementation. By doing this, we provide trajectories for the future of the energy industry and draw guiding implications for developing data-driven smart energy business models.show moreshow less

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Metadaten
Document Type:Article
State of review:Begutachtet (reviewed)
Zitierlink: https://opus.hs-offenburg.de/11428
Bibliografische Angaben
Title (English):Creating Value From Energy Data: A Practitioner’s Perspective on Data-Driven Smart Energy Business Models
Author:Friedrich ChasinStaff MemberORCiDGND, Ute Paukstadt, Patrick Ullmeyer, Jörg Becker
Year of Publication:2020
Publisher:Springer Science and Business Media LLC
Page Number:33
First Page:565
Last Page:597
Parent Title (English):Schmalenbach Business Review
Volume:72
Issue:4
ISSN:1439-2917
DOI:https://doi.org/10.1007/s41464-020-00102-1
Language:English
Inhaltliche Informationen
Institutes:Veröffentlichungen außerhalb der Hochschulzeit
Tag:Data-Driven Business Models; Energy Data; Smart Energy; Smart Energy Business Models
Formale Angaben
Open Access: Open Access 
 Hybrid 
Licence (German):License LogoUrheberrechtlich geschützt