Citation: Jiang, L.; Chen, B. A
Two-Stage Bilateral Matching Study
of Teams-Technology Talents in New
R&D Institutions Based on Prospect
Theory. Sustainability 2023, 15, 3494.
https://doi.org/10.3390/su15043494
Academic Editors:
Luis Hernández-Callejo,
Sergio Nesmachnow and
Sara Gallardo Saavedra
Received: 25 July 2022
Revised: 7 February 2023
Accepted: 8 February 2023
Published: 14 February 2023
Copyright: © 2023 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
Article
A Two-Stage Bilateral Matching Study of Teams-Technology
Talents in New R&D Institutions Based on Prospect Theory
Lin Jiang * and Biyun Chen
School of Information Engineering, Yancheng Teachers University, Yancheng 224002, China
* Correspondence: jiangl@yctu.edu.cn
Abstract:
This study considers two-stage bilateral matching of teams and scientific and technological
talents in new R&D organizations and proposes a two-stage dual-objective bilateral matching method
based on prospect theory. The matching of teams and scientific and technological talent in new R&D
institutions is divided into two stages: elimination matching in the first stage and selection matching
in the second stage. In the first stage, the evaluation index of the team to talent and the cost index of
talent are constructed, the dual reference points of peer and expectation are set for evaluating talent,
and the bottom-line reference points are set for talent cost. The comprehensive prospect value in the
first stage is calculated based on prospect theory, and the matching in the first stage is completed
based on the dual-objective optimization model with the highest evaluation value and the lowest
cost value. In the second stage, using the matching results of the first stage, the team evaluates the
talent again, while the talent ranks the team to obtain the satisfaction value, and completes the second
stage of bilateral matching based on prospect theory and the dual-objective optimization model with
the highest evaluation value and the highest satisfaction value. Finally, a case study and method
comparison show that the proposed method is feasible and effective.
Keywords:
prospect theory; new R&D institutions; scientific and technological talent; performance
assessment; bilateral matching
1. Introduction
In China, new R&D institutions, with their impressive innovation achievements and
rapid development momentum, have developed into the pioneering force for source science
and technology innovation and development of strategic emerging industries in various
regions, creating a new model of science and technology R&D that leaps and bounds to
enhance source innovation capacity and rapidly realize industrialization. The new R&D
institution is a “four different”, not exactly like a university, with different culture; not
exactly like a scientific research institute, with different content; not exactly like an enter-
prise, with different objectives; not exactly like an institution, with different mechanisms.
In particular, its essential characteristics of marketization, industrialization, diversification,
socialization and internationalization also foreshadow an important direction for the reform
and development of scientific research institutions in China.
The development of science and technology cannot be separated from talent, and
scientific and technological talent is the first resource for the development of new R&D
institutions. With the development of new R&D institutions, the requirements for scientific
and technological talents are becoming increasingly high-end and comprehensive. First,
they should be patriotic and dedicated, transforming their love for the country and the will
to strengthen the country into the act of serving the country. Second, they should be active
in innovative thinking and conduct research oriented by the scientific and technological
needs of the country and the market as well as “high precision and shortage” projects. At
the same time, new R&D institutions should also create various conditions for all kinds of
talent to settle down, feel at ease and work, respect talent and creativity, innovate talent
Sustainability 2023, 15, 3494. https://doi.org/10.3390/su15043494 https://www.mdpi.com/journal/sustainability
