Work

Data-knowledge co-driven innovations in engineering and management

Year: 2024

Type: article

Abstract: Modern intelligent engineering and management scenarios require advanced data utilization methodologies. Here, we propose and discuss data-knowledge co-driven innovations that could address emerging challenges, and we advocate for the adoption of interdisciplinary methodologies in numerous engineering and management applications.

Source: Patterns

DOI: 10.1016/j.patter.2024.101114

Authors: Yingji Xia, Xiqun (Michael) Chen, Sudan Sun

Institution: Zhejiang University

Language: English

Topic: Knowledge Management and Technology

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $4,900