The Influence of Artificial Intelligence on the Business Model Innovation of Chinese Wind power Enterprises

Zhaoxing Wang, Senmao Xia, Esin Yoruk, Gideon Maas

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

Abstract

Business model innovation is crucial to the development of new energy enterprises. Artificial intelligence has received more and more attention, but the extant literature has limited understanding of how artificial intelligence affects the business model innovation of companies. This study is among the first to explore the impacts of artificial intelligence on business model innovation from the perspective of the value network. A multiple case study approach was adopted based on the data of four Chinese representative wind power firms. This paper makes significant academic and practical implications.
Original languageEnglish
Title of host publicationBritish Academy of Management 2021 Conference
Place of PublicationLancaster, United Kingdom
PublisherBritish Academy of Management
Volume12
ISBN (Electronic)978-0-9956413-4-1
Publication statusPublished - 31 Aug 2021
EventBritish Academy of Management 2021 Conference: Recovering from Covid - Virtual conference, hosted by Lancaster University Management School
Duration: 31 Aug 20213 Sept 2021

Conference

ConferenceBritish Academy of Management 2021 Conference
Abbreviated titleBAM2021
Period31/08/213/09/21

ASJC Scopus subject areas

  • Artificial Intelligence
  • Business and International Management
  • Renewable Energy, Sustainability and the Environment

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