Cooperative Innovation Behavior Based on Big Data

Ji, Guojun; Yu, Muhong; Tan, Kim Hua

Abstract

With the rapid change of technology, cooperative innovation based on data sharing has become an imminent tactic for enterprises to gain competitive advantages. This paper adopted a mixed method approach (case study-modelling-case study) to study firms’ co-opetition behaviour based on their data analytics capabilities for innovation. We show that firms favour cooperative among peers with same capabilities, i.e. when each firm’s data level is comparable to their partners. We further establish that data transferability and incentive have high impact on cooperation decisions. Finally, we explain the evolution path of firms’ cooperation decisions and discuss the best options for them to sustain long-term growth and competitiveness. The results provide a basis for firms to decide how best to utilise big data for collaborative innovation, so as to improve customers’ product adoption and reduce costs.

• Journal Article Type: Article
• Acceptance Date: Apr 2, 2020
• Online Publication Date: Apr 28, 2020
• Publication Date: Apr 28, 2020
• Deposit Date: Jun 4, 2020
• Publicly Available Date: Jun 4, 2020
• Journal: Mathematical Problems in Engineering
• Print ISSN: 1024-123X
• Electronic ISSN: 1563-5147
• Publisher: Hindawi Publishing Corporation
• Peer Reviewed: Peer Reviewed
• Volume: 2020
• Article Number: 4385810
• Pages: 1-14
• DOI: https://doi.org/10.1155/2020/4385810
• Keywords: General Engineering; General Mathematics
• Public URL: https://nottingham-repository.worktribe.com/output/4575206
• Publisher URL: https://www.hindawi.com/journals/mpe/2020/4385810/