Multidisciplinary Innovation Adaptability of Campus Spatial Organization
From a Network Perspective
Datos Bibliográficos
| ID | 3315567 |
|---|---|
| Autores | B Xia (0000-0002-9448-7416, Zhejiang University), Kelei Wu (The London College), Peikun Guo (Politecnico di Milano), Yuan Sun (0000-0001-5381-0857, Zhejiang University), Jindong Wu (0000-0003-2322-7286, Zhejiang University, autor de correspondencia), Jie Xu (0000-0001-5291-5198, Zhejiang University), Shifu Wang (0000-0003-3389-3987, South China University of Technology) |
| Año | 2022 |
| Volumen | 12 |
| Número | 1 |
| Fecha de publicación | 2022-01-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | SAGE Open (JOURNAL) |
| Identificadores de la revista | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/21582440221079929 |
| OpenAlex | W4225939468 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 46 |
Campus spatial organization has potential impact on the multidisciplinary innovation (MDI). This research aims to establish an evaluation theory and a method for MDI adaptability of campus spatial organization. Based on the literature review, it first proposes theoretical assumptions regarding the correlation among MDI abilities, social networks, and spatiotemporal behaviors of individuals on campus. Then, data on the three aspects mentioned above was collected through online survey which was conducted from February 4th to March 15th, 2020. A total of 524 valid responses were obtained from 572 undergraduates and graduates of various majors in Zijingang Campus (East) of Zhejiang University. The correlation mechanism of these aspects was empirically analyzed by structural equation model (SEM). By integrating individual data, the research generated three overall networks whose nodes are linked according to spatial proximity, behavior routine, and disciplinary connection, respectively. Furthermore, an evaluation method is proposed for MDI adaptability of the campus spatial organization, which is based on the comparison of the structural similarity of the nodes in different networks. Accordingly, the evaluation results were validated by expert ratings and user satisfaction. Finally, design strategies for the renovation of an innovative campus are discussed
Adaptability · Knowledge management · Machine learning · Management · Multidisciplinary approach · Sociology · Structural equation modeling · Computer Science · Innovative Approaches in Technology and Social Development · Psychology · Artificial Intelligence
Introduction to Structural Equation Modeling using IBM SPSS Statistics and Amos
Polycentricity and the Multiplexity of Urban Networks
Diversity and network coherence as indicators of interdisciplinarity
Spatial and Social Networks in Organizational Innovation
Quantifying scientific collaboration impact by exploiting collaboration-citation network
Mapping social innovation networks
Patronage of urban commercial clusters
Housing layout, perceived density and social interactions in gated communities
Exploring the links between personal networks, time use, and the spatial distribution of social contacts
Network Impact of Social Innovation Initiatives in Marginalised Rural Communities
Social context, spatial structure and social network structure
Social networks and spatial configuration—How office layouts drive social interaction
Analyzing urban networks through the lens of corporate networks
The Meeting of Minds
Social networks' group tie strength and travel behavior
Using GIS to visualise and evaluate student travel behaviour
Introduction. Urban Networks and Network Theory
The Massachusetts Institute of Technology
| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 0,25 |
| Intervalo de citas | 2022 - 2022 (1) |
| Velocidad de citación | historical |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |