Sustainability in B2C e-commerce: a literature review and future research opportunities in last-mile deliveries

This paper proposes a methodology based on the fuzzy approach, which provides decision-making support to the organizer of last-mile delivery (LMD) in selecting sustainable delivery models for a specific territory. Solving this task is essential to ensure that the delivery process is efficient and aligned with all three dimensions of sustainable development. The goal is to select the most suitable electromobility alternative for delivery implementation based on the characteristics of the requirements and the current circumstances. The proposed methodology involves the creation of a mechanism consisting of a series of fuzzy logic systems that will model expert opinions and produce a preference value as the output, defining the suitability of applying a particular LMD model. A specific methodological contribution is the creation of harmonized membership functions for fuzzy variables as a result of comparing symmetric and asymmetric membership functions aimed at achieving the most valid results. The results guide the delivery organizer in making the best decision when choosing from the analyzed models. The applicability and adequacy of the methodology are demonstrated through the results and analysis of a case study focused on the evaluation of electromobility alternatives in last-mile delivery in a part of the city of Belgrade. The obtained preference values, which range from 0 to 1 for all tested variants, are as follows within the interval: [0.481, 0.776] for e-motorcycles, [0.376, 0.564] for e-cargo bikes, and [0.5, 0.624] for e-scooters. The specific values of these indicators aim to support decision-makers in selecting a delivery model for a defined task based on the given constraints.

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B2C-oriented quality control of logistics services based on an economic perspective

Liu,

Zhumadilov,

Myrzalieva

et al. 2024

Scientific Bulletin of Mukachevo State University Series “Economics”

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The research of the quality control of logistics services relevancy is determined by the increasingly dynamic and competitive nature of the market requires companies to ensure the high quality of their logistics services, especially in the sphere of business-to-consumer (B2C). The research aims to analyse and identify optimal approaches and strategies for quality control of logistics services in B2C interactions. The study employed various methods including analytical, statistical, functional, system analysis, deduction, synthesis and comparison methods. An economic relevance assessment identified how service quality can affect business and assessed the potential benefits of improving it. A comparative analysis of practices in the industry identified best practices and innovations. The main results determined that integrating an economic perspective into quality control mechanisms enables companies to ensure smooth and timely delivery while effectively managing resources, optimising costs and improving profitability. A customer-centric, oriented approach contributes to enhancing brand reputation, customer satisfaction and long-term competitiveness. The practical relevance of the findings is to provide companies with valuable tools and insights to improve their logistics operations and enhance customer service on a cost-effective basis

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Sustainability in B2C e-commerce: a literature review and future research opportunities in last-mile deliveries

Cited by 3 publications

References 61 publications

Urban Freight Transport and Emerging Information and Communication Technologies: Analysing End-Consumers Decision in Receiving E-purchases

Urban Freight Transport and Emerging Information and Communication Technologies: Analysing End-Consumers Decision in Receiving E-purchases

Fuzzy Logic Approach for Evaluating Electromobility Alternatives in Last-Mile Delivery: Belgrade as a Case Study

B2C-oriented quality control of logistics services based on an economic perspective

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