A novel two-sided matching decision method for technological knowledge supplier and demander considering the network collaboration effect
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
---|---|
Pages (from-to) | 5439-5451 |
Journal / Publication | Soft Computing |
Volume | 22 |
Issue number | 16 |
Online published | 20 Mar 2018 |
Publication status | Published - Aug 2018 |
Link(s)
Abstract
To obtain competitive advantage, the key target for the two-sided matching between technological knowledge supplier and demander is maximizing the individual exchange satisfaction. The structure of the supplier and demander relationship networks means that the two-sided matching approach not only gives point-to-point matching but also gives network-to-network matching. In this paper, supply and demand network characteristics are embedded into a two-phase decision analysis method. First, to select the matching pairs, a matching satisfaction matrix is constructed based on the supply and demand network characteristics, after which a multi-objective optimal model is built to determine the best optimization matching results and the overall improvements illustrated through comparison. Finally, a numerical example is given to show the practicality and validity of the proposed approach.
Research Area(s)
- Network collaboration effect, Satisfaction degree optimization, Technological knowledge supply and demand, Two-sided matching
Citation Format(s)
A novel two-sided matching decision method for technological knowledge supplier and demander considering the network collaboration effect. / Han, Jing; Li, Bin; Liang, Haiming; Lai, Kin Keung.
In: Soft Computing, Vol. 22, No. 16, 08.2018, p. 5439-5451.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review