How do keystones govern their business ecosystems through resource orchestration?

Wu, Lin; Cui, Miao; Li, Wanling; Jia, Yibo; Cui, Li

Abstract

Purpose: Sharing resources with stakeholders is the key for keystones to govern business ecosystems successfully. However, existing research has not paid further attention to how keystones share resources under the condition of resource sufficiency and how keystones balance resource sharing with complementors when they lack resources. Therefore, this paper aims to explore how keystones govern their business ecosystems under the conditions of resource sufficiency and resource insufficiency. Design/methodology/approach: This paper adopts the single case study method. First, by adopting Gioia coding to analyze the relevant data of the case sample, this paper obtains the key concepts of the business ecosystem governance process. Then, it establishes the relationship between the concepts by analyzing the governance process of the case sample. Findings: Under the condition of resource sufficiency, keystones under the condition of resource sufficiency, should make full use of resources to incubate more complementors, and further integrate the resources of the business ecosystem, to create more value for their business ecosystems. Under the condition of resource insufficiency, keystones should break the boundaries of business ecosystems and acquire external resources, to meet the resource needs of complementors. Subsequently, keystones should redeploy idle resources according to the actual needs of complementors, to meet the changing resource needs of complementors. Originality/value: This study subdivides business ecosystem governance conditions and further constructs the business ecosystem governance process model, which provides a theoretical and practical reference for business ecosystem governance.

Citation

Wu, L., Cui, M., Li, W., Jia, Y., & Cui, L. (2022). How do keystones govern their business ecosystems through resource orchestration?. Industrial Management and Data Systems, 122(9), 1987-2011. https://doi.org/10.1108/imds-12-2021-0804

• Journal Article Type: Article
• Acceptance Date: Apr 2, 2022
• Online Publication Date: Apr 21, 2022
• Publication Date: 2022
• Deposit Date: Apr 4, 2022
• Publicly Available Date: Apr 21, 2022
• Journal: Industrial Management and Data Systems
• Print ISSN: 0263-5577
• Publisher: Emerald
• Peer Reviewed: Peer Reviewed
• Volume: 122
• Issue: 9
• Pages: 1987-2011
• DOI: https://doi.org/10.1108/imds-12-2021-0804
• Keywords: Industrial and Manufacturing Engineering; Strategy and Management; Computer Science Applications; Industrial relations; Management Information Systems
• Public URL: https://nottingham-repository.worktribe.com/output/7705093
• Publisher URL: https://www.emerald.com/insight/content/doi/10.1108/IMDS-12-2021-0804/full/html?skipTracking=true