Evaluation of Effectiveness of Parcel Delivery Sector Companies in the Context of COVID-19 Pandemic

Author:

Žinytė Ringailė,Jurkonienė Gerda

Abstract

The paper examines the impact of COVID-19 pandemic on operational effectiveness of parcel delivery sector companies operating in Lithuania. As demand of parcel delivery sector‘s services has increased, it is important to find out whether the impact of COVID-19 pandemic on operational effectiveness could be considered as positive even though the sector faces difficulties related to parcel delivery. The aim of the research is to evaluate the efficiency of parcel delivery sector companies operating in Lithuania during the COVID-19 pandemic. After the literature analyses, it was decided to examine the financial statements of 27 parcel delivery companies during the COVID-19 pandemic (2020-2021) and before the pandemic (2017-2019). During the investigation the impact of pandemic was analysed using the methods of correlation, regression, and logistics analysis. The main purpose of correlation analysis was to find connections between variables and by regression analysis to find causality between dependent and independent variables. The results of pandemic ware compared with results of pre-pandemic. After this, the results of pandemic have been applied in logistics analysis in forecasting process. Overall, it became clear that during the pandemic operational profit was more effective and costs were less effective comparing with results of pre-pandemic. In addition, the results of logistics analysis showed that there is a possibility that in the future operation profit will be ineffective and costs will be effective.

Publisher

Vilnius University Press

Subject

General Medicine

Reference43 articles.

1. Ahmed, D.A.; Abdulah, E.K.; Abdulwahhab, B.I; Abed, N.O., 2020. Solving multicollinearity problem of gross domestic product using ridge regression method. Periodicals of Engineering and Natural Sciences. 8(2), 668-672. http://dx.doi.org/10.21533/pen.v8i2.1197

2. Arbelo, A.; Arbelo-Pérez, M.; Pérez-Gómez, P., 2021. Profit efficiency as a measure of performance and frontier models: A resource-based view. Business Research Quarterly. 24(2), 143-159. https://doi.org/10.1177/2340944420924336.

3. Atviri įmonių duomenys. Atvira Sodra. Prieiga per: [žiūrėta 2022-09-29].

4. Bayoud, H.A., 2021. Test of normality: new test and comparative study. Communications in Statistics - Simulation and Computation. 50(12), 4442-4463. https://doi.org/10.1080/03610918.2019.1643883.

5. Bopage, G.; Nanayakkara, J.; Vidanagamachchi, K., 2019. A strategic model to improve the last mile delivery performance in e-commerce parcel delivery. Proceedings of the International Conference on Industrial Engineering and Operations Management. 2338-2351. Prieiga per: .

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3