Universities as an External Knowledge Source for Industry: Investigating the Antecedents’ Impact on the Importance Perception of Their Collaboration in Open Innovation Using an Ordinal Regression-Neural Network Approach
Within the highly complex ecosystem of industry-university collaboration in open innovation, three specific antecedents typically characterize the patterns of their interaction, i.e., motivations, barriers, and channels of knowledge transfer. However, an investigation of the extent to which these an...
Main Authors: | Marius Băban, Călin Florin Băban, Tudor Mitran |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/11/7/1671 |
Similar Items
-
Outcomes of Industry–University Collaboration in Open Innovation: An Exploratory Investigation of Their Antecedents’ Impact Based on a PLS-SEM and Soft Computing Approach
by: Călin Florin Băban, et al.
Published: (2022-03-01) -
Dwell Time Estimation of Import Containers as an Ordinal Regression Problem
by: Laidy De Armas Jacomino, et al.
Published: (2021-10-01) -
ANTECEDENTS OF THE IMPORTANCE OF PRICE PURCHASE DECISIONS
by: Isabel Maria Rosa Diaz, et al.
Published: (2011-07-01) -
The Comparison between Ordinal Logistic Regression and Random Forest Ordinal in Identifying the Factors Causing Diabetes Mellitus
by: Assyifa Lala Pratiwi Hamid, et al.
Published: (2023-08-01) -
Regularized Ordinal Regression and the ordinalNet R Package
by: Michael J. Wurm, et al.
Published: (2021-09-01)