Year: 2019
Type: article
Abstract: More knowledge service providers are using digital platforms to provide services, which operate under a different set of operating rules than the traditional service model. This paper presents a novel method to match knowledge suppliers and demanders on a digital platform that considers the differences between the two service models. In addition, this paper proposes an innovative approach to assess the network value to the platform provider by fuzzy multi-attribute decision making. A case study is used to show that the novel method is valid and practical. The matching method proposed in this paper extends the application of the knowledge matching method and provides a theoretical basis to improve the efficiency and profits of knowledge service platforms.
Source: IEEE Access
Authors: Jing Chang, Hua Li, Bingzhen Sun
Institution: Xidian University
Language: English
Subfield: Strategy and Management
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,750
OpenAlex ID: W2913089584