AI and IoT based collaborative business ecosystem:  A case in Chinese fish farming industry

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

doi:10.1504/IJTM.2020.107856

AI and IoT based collaborative business ecosystem: A case in Chinese fish farming industry

Xiaoping Yang, Dongmei Cao, Jing Chen, Zuoping Xiao, Ahmad Daowd

School of Strategy and Leadership

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	151 - 171
Number of pages	21
Journal	International Journal of Technology Management
Volume	82
Issue number	2
Early online date	25 Jun 2020
DOIs	https://doi.org/10.1504/IJTM.2020.107856
Publication status	Published - 2020

Keywords

Artificial intelligence (AI)
Internet of Things (IoT)
Collaborative Business Ecosystem (CBE)
Value co-creation
Sustainability
Fish farming industry
CBE
AI
Collaborative business ecosystem
IoT
Internet of things
China
Evolution
Artificial intelligence
Celefish
Digital platform

ASJC Scopus subject areas

Engineering(all)
Industrial relations
Law
Computer Science Applications
Strategy and Management

Access to Document

10.1504/IJTM.2020.107856

Link to publication in Scopus

Embargoed Document

AI and IoT based collaborative business ecosystem: A case in Chinese fish farming industry
Accepted author manuscript, 1.31 MB
Embargo ends: 25/06/21

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Dongmei Cao
- School of Strategy and Leadership - Assistant Professor (Academic)
- Faculty Research Centre for Business in Society - Associate
Person: Other, Teaching and Research

Cite this

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title = "AI and IoT based collaborative business ecosystem: A case in Chinese fish farming industry",

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{\textquoteright}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. ",

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AU - Chen, Jing

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AU - Daowd, Ahmad

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