COVID-19危机是否改变了库存效率

Q3 Business, Management and Accounting

International Journal of Business Performance and Supply Chain Modelling Pub Date : 2022-01-01 DOI:10.1504/ijbpscm.2022.10050694

O. Hilmola

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引用次数: 1

摘要

由于2019冠状病毒病大流行，许多事情在短时间内发生了变化，2020年全球经济和工厂的关闭和开放是不同步的，也是不可预测的。然而，由于超宽松的货币政策和低利率，需求维持得相当好。因此，需要知道，库存效率是如何在这种环境下发展的。本研究考察了芬兰制造业和零售业上市公司及其库存效率。研究结果表明，2020年对库存效率没有太大影响。从2010年开始的轨迹似乎仍在继续——库存周转率正以温和的速度下降，而库存投资的绝对值正在增加。然而，总资产中存货的比例保持不变。总之，库存效率几乎没有变化(在三个使用的测量范围内)。2020年，不同的力量和变化一定会相互抵消。版权所有©2022 Inderscience Enterprises Ltd。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Did the COVID-19 crisis change inventory efficiency Evidence from Finland

Due to the COVID-19 pandemic, many things changed within a short notice;shutdowns as well as openings of economies and factories were unsynchronised and unpredictable throughout the world in 2020. However, demand was sustained rather well due to ultra-loose monetary policies and low interest rates. Therefore, it is needed to know, how inventory efficiency developed in this environment. This research work examines Finnish publicly traded companies from the manufacturing and retail industry and their inventory efficiency. Findings illustrate that the year 2020 did not have that much impact on inventory efficiency. It seems that trajectories which started in 2010 remain - inventory turns are getting lower at a moderate pace, and inventory investments are increasing in absolute terms. However, share of inventories from total assets remains as unchanged. In conclusion, inventory efficiency has barely changed at all (within the three used measures). Different forces and changes must have had neutralising effects on each other in 2020. Copyright © 2022 Inderscience Enterprises Ltd.

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来源期刊

International Journal of Business Performance and Supply Chain Modelling Business, Management and Accounting-Business and International Management

CiteScore

2.00

自引率

0.00%

发文量

期刊介绍： IJBPSCM covers original, high-quality and cutting-edge research on all aspects of supply chain modelling, aiming at bridging the gap between theory and practice with applications analysing the real situation to improve business performance. Topics covered include Business performance modelling, strategy Vendor/supplier selection, supplier development, purchasing management Supply chain management (SCM), green supply chain modelling Reverse logistics, closed loop/knowledge-based supply chains, 3PL/4PL Sustainable/quality based/agile/leagile/intelligent SCM Supply chain performance/optimisation/risk/decision making/support systems AI, information sharing in SCM, systems approach to SCM Coordinated/global/flexible SCM, risk mitigation strategies Stochastic supply chain games IT-enabled SCM, fuzzy modelling, data mining Supply chain network management, modelling/simulation, implementation Training/education, information security, RFID Supply chain analysis, transportation decisions, vehicle routing, bullwhip effect Logistics in disaster management Cross-country comparison.