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 journalNot applicablepeer-review

4 Scopus Citations
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Author(s)

  • Jing Han
  • Bin Li
  • Haiming Liang
  • Kin Keung Lai

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)5439-5451
Journal / PublicationSoft Computing
Volume22
Issue number16
Online published20 Mar 2018
Publication statusPublished - Aug 2018

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)