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Dr hab. Katarzyna Cheba
ORCID: 0000-0001-8753-7764

Professor at the West Pomeranian University of Technology, Chair of Economics and Finance Discipline Board. Author of over 100 publications. She participated in several dozen grants and projects, realized for the National Science Center, Polish ministries, central institutions, and regional/local governments. Her main research fields of interest are sustainable development and competitiveness, statistics, and forecasting issues.

 
DOI: 10.33226/1231-2037.2024.1.2
JEL: F50, R41, R42

The main aim of the paper is a comparative analysis of the research results presented in four research projects on e-customer preferences in last-mile delivery conducted recently on the Polish e-commerce market as: Gemius Poland, PostNord and Łukasiewicz Research Network – Institute of Logistics and Warehousing Network, and own research financed by Polish National Science Center under the title "Sustainable last-mile logistics and e-commerce returns. Perspective of various stakeholder groups". E-customers in Poland are mainly guided by price, safety and delivery service standards; trust in the supplier is also important. Interestingly, in the context of the development of pro-ecological trends, it is still of minor importance for Polish e-customers whether the delivery is environmentally-friendly, including whether it is possible to return the goods in an "environment-friendly" manner. A comparative analysis of research projects regarding e-customer preferences allows to identify similarities and differences in the scope of research results, identify a cognitive gap, and define directions and recommendations for further e-customer market research. The results obtained may also contribute to the formulation of recommendations for e-commerce and logistics companies regarding e-customer preferences for last-mile delivery to increase customer satisfaction, improve efficiency, and create competitiveness.

Keywords: e-commerce; last-mile delivery; e-customer preferences; comparative analysis; meta-analysis