Streamlined Resilient Post-COVID-19 Supply Chain in Industry 4.0: A Case Study on Romania

Alexandru Ionescu, Ana Maria Mihaela Iordache (), Alexandra Andreea Mironescu and Vlad Gabriel Cârstea ()
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Alexandru Ionescu: Department of Commerce, Economic Integration and Business Administration, Romanian-American University, 012101 Bucharest, Romania
Ana Maria Mihaela Iordache: Department of Informatics, Statistics and Mathematics, Romanian-American University, 012101 Bucharest, Romania
Alexandra Andreea Mironescu: Department of Management, Bucharest University of Economic Studies, 010374 Bucharest, Romania
Vlad Gabriel Cârstea: Department of Commerce, Economic Integration and Business Administration, Romanian-American University, 012101 Bucharest, Romania

Sustainability, 2023, vol. 15, issue 24, 1-26

Abstract: The COVID-19 pandemic has accelerated the digitization of the logistics industry, exceeding the expectations of some companies. Ensuring customer satisfaction throughout the online ordering and delivery process has major implications for their profitability and market position. This study aims to classify firms in the logistics sector based on their financial accounting performance and determine if software designed for the logistics sector can improve their performance. By using advanced data analysis methods such as cluster analysis and neural network training, the study identifies three distinct classes. One company from a lower class was given a scenario for implementing digitization, improving its performance indicators, and enabling its movement to a higher class. The practical implications of the study are related to the domestic and international business environment, providing an overview of the logistics sector in Romania and a direction for growth for companies operating in the sector.

Keywords: logistics; data analysis; ODOO; inventory; data mining; neural network; SMEs (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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