Analysis of the Human’s Matching Preferences in the Market Matching
- 10.2991/assehr.k.220504.468How to use a DOI?
- Market Matching Theory; Two-sided Matching; Matching Preferences
Matching theory is a branch of economics that has had a significant impact on the world. Economics is a social discipline that studies human behavior and how to allocate limited or scarce resources in an efficient and rational manner. This paper is a specific study of three matching scenarios based on market matching theory: organ donation, matchmaking and job search. Based on the previous study, four factors that influence people’s matching preferences are proposed: time, accuracy, cost and rarity. After analysis, it is found that these four factors generally influence people’s matching preferences in the following way: when time is urgent, precision is required, matching cost is low, and matching resources are scarce, people favor a wide net strategy. Conversely, when time requirements are more relaxed, precision requirements are not high, matching costs are high, and matching resources are relatively abundant, people tend to choose a more precise matching strategy. Among these four factors, time is the most important influencing factor of matching preference. This paper is an attempt of explaining people’s preference of matching strategies in real-life matching scenarios by drawing on concepts developed in various matching theories, and the explanatory power and potential inadequacy of the theories are therefore noted.
- © 2022 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Zhaoguo Wang PY - 2022 DA - 2022/06/01 TI - Analysis of the Human’s Matching Preferences in the Market Matching BT - Proceedings of the 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022) PB - Atlantis Press SP - 2581 EP - 2585 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.220504.468 DO - 10.2991/assehr.k.220504.468 ID - Wang2022 ER -