大型科研仪器共享策略——以气相色谱仪的在线租赁为例
The Sharing Strategy of Online Leasing of Large-Scale Scientific Instruments:A Case Study of Online Leasing of Gas Chromatographs
吴静婷 1陈泽华 1陈冠廷 1张永 1王亚煦1
作者信息
- 1. 广东工业大学管理学院,广东广州 510520
- 折叠
摘要
为降低承租人的租赁成本、减轻科研机构在大型科研仪器购买方面的压力,如何有效利用大型科研仪器成为一个重要课题.目前在大型科研仪器租赁市场中,除租赁和采购之外,还有更多的租赁形式.结合当前共享经济的快速发展,考虑资本的时间价值,以气相色谱仪为例,从大型科研设备的租赁模式出发,对复利条件下大型科研仪器的二重在线租赁问题进行探讨,运用竞争分析法建立这一问题的竞争策略,并根据决策者对今后设备使用的长远期望对共享二重在线租赁问题进行了风险补偿分析;此外,运用算例分析解释利率、概率预期和风险容忍对最佳在线策略的影响.结果表明:在不同复利率的情况下,风险补偿策略的最佳决策时机存在差异;决策者预期成功获得的收益与风险容忍度呈正相关;在确定的风险容忍度下,概率预期的引入能够改善大型科研仪器在复利二重在线租赁问题的竞争比性能.
Abstract
To mitigate leasing costs for lessees and alleviate financial pressure on scientific research institutions in acquiring large scientific instruments,effective utilization has emerged as a critical topic.Taking into account the rapid advancement of the sharing economy and the time value of capital,this paper delves into the option A-B online leasing of large scientific instruments under a compound rate scenario,utilizing gas chromatographs as a case study.Through a competitive analysis approach,this paper establishes competitive strategies for this leasing problem.Furthermore,a risk compensation analysis is conducted for the shared option A-B online leasing issue,factoring in decision-makers'long-term outlook for future equipment usage.Additionally,numerical examples are employed to illustrate the influence of interest rates,probabilistic forecasts,and risk tolerance on the optimal online strategy.The findings reveal that optimal decision-making timings for risk compensation strategies vary with different compound rates.The anticipated gains achieved by decision-makers are positively correlated with their risk tolerance.Moreover,under a given risk tolerance level,the introduction of probabilistic forecasts enhances the competitive ratio performance of large scientific instruments in the option A-B online leasing scenario under compound interest.
关键词
大型科研仪器/共享经济/二重在线租赁/复利率/竞争分析法/气相色谱仪Key words
large-scale scientific instruments/sharing economy/option A-B online leasing/compound rate/competitive analysis/gas chromatographs引用本文复制引用
基金项目
教育部人文社会科学研究项目(21YJA630117)
教育部人文社会科学研究青年基金(22YJC880079)
广东省哲学社会科学基金(GD23XJY12)
出版年
2024
NETL
NSTL
万方数据