Title: AI and IoT-based collaborative business ecosystem: a case in Chinese fish farming industry

Authors: Xiaoping Yang; Dongmei Cao; Jing Chen; Zuoping Xiao; Ahmad Daowd

Addresses: School of International Business, Zhejiang Yuexiu University of Foreign Languages, China ' Faculty of Business and Law, Coventry University, UK ' Hangzhou Dianzi University, Hangzhou, China ' Hangzhou Dianzi University, Hangzhou, China ' Faculty of Business and Law, Coventry University, UK

Abstract: Life below water has been set as one of the UN sustainable development goals. Meanwhile, digital technologies AI and IoT (A-I) have brought a revolutionary impact on human's life in general and on traditional industries such as manufacture and agriculture in particular. The purpose of this research is to showcase the mechanism of an A-I based collaborative business ecosystem (A-I CBE) through an in-depth case study of a Chinese agricultural science and technology company, Celefish. We demonstrate how Celefish has developed the A-I CBE, leading the value co-creative collaboration between the ecosystem participants. Research suggests that the A-I CBE contributes to evolution and sustainable development of the fish farming ecosystem. The research adds contributions to the business ecosystem theory particularly in value co-creation and sustainability via digital technologies. It also provides practical implications for policymakers and strategic management in applying digital technologies.

Keywords: artificial intelligence; AI; internet of things; IoT; collaborative business ecosystem; CBE; value co-creation; sustainability; fish farming industry; China; Celefish; evolution; digital platform.

DOI: 10.1504/IJTM.2020.107856

International Journal of Technology Management, 2020 Vol.82 No.2, pp.151 - 171

Received: 25 Mar 2019
Accepted: 30 Dec 2019
Published online: 25 Jun 2020 *

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