Human Resource Dynamics in Urban Crowd Logistics: A Comprehensive Analysis

Abstract

The advent of Information and Communication Technologies (ICT) has significantly revolutionized urban logistics, particularly through the emergence of crowd-sourced platforms. This evolution has engendered substantial benefits, including cost-effectiveness, enhanced delivery speeds, and environmentally sustainable practices. Yet, the unregulated nature of such platforms poses considerable challenges, especially in Human Resource Management (HRM) within crowd distribution networks. This study, in a groundbreaking exploration, examines the complexities inherent in HRM in the context of urban crowd logistics. It primarily focuses on employment dilemmas, training intricacies, and the intricacies of salary computation, thereby illuminating areas hitherto unexplored in existing literature. It is identified that both crowd workers and pldatform operators encounter significant challenges in effective human resource administration, marking a critical area of concern. The study further discerns the regulatory lacunae prevalent in this sector, proffering prospective remedial measures and advanced HRM strategies. Such insights are pivotal in augmenting the understanding of the interplay between human resources and crowd logistics, laying a foundation for both academic research and practical application. The paper, therefore, not only contributes to scholarly discourse but also offers pragmatic guidance for optimizing HRM in crowd logistics. This comprehensive analysis serves as a crucial resource for policymakers, industry stakeholders, and academics, charting a course for future inquiry and refinement in crowd logistics HRM.

Examining the Retail Delivery Choice Behavior in a Technology-Aware Market

“…Furthermore, they discovered that age, educational level, and online shopping frequency affect the importance consumers give to each delivery service attribute. Other relevant articles dealing with delivery service are [15][16][17][18][19][20][21][22][23][24][25].…”