If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download. Purpose -The purpose of this paper is to re-examine the extant research on last-mile logistics (LML) models and consider LML's diverse roots in city logistics, home delivery and business-to-consumer distribution, and more recent developments within the e-commerce digital supply chain context. The review offers a structured approach to what is currently a disparate and fractured field in logistics. Design/methodology/approach -The systematic literature review examines the interface between e-commerce and LML. Following a protocol-driven methodology, combined with a "snowballing" technique, a total of 47 articles form the basis of the review.Findings -The literature analysis conceptualises the relationship between a broad set of contingency variables and operational characteristics of LML configuration (push-centric, pull-centric, and hybrid system) via a set of structural variables, which are captured in the form of a design framework. The authors propose four future research areas reflecting likely digital supply chain evolutions.Research limitations/implications -To circumvent subjective selection of articles for inclusion, all papers were assessed independently by two researchers and counterchecked with two independent logistics experts. Resulting classifications inform the development of future LML models. Practical implications -The design framework of this study provides practitioners insights on key contingency and structural variables and their interrelationships, as well as viable configuration options within given boundary conditions. The reformulated knowledge allows these prescriptive models to inform practitioners in their design of last-mile distribution. Social implications -Improved LML performance would have positive societal impacts in terms of service and resource efficiency. Originality/value -This paper provides the first comprehensive review on LML models in the modern e-commerce context. It synthesises knowledge of LML models and provides insights on current trends and future research directions.

Purpose-The purpose of this paper is to investigate the interplay between configuration dimensions (network structure, network flow, relationship governance, and service architecture) of last-mile supply networks (LMSN) and the underlying mechanisms influencing omnichannel performance. Design/methodology/approach-Based on mixed-method design incorporating a multiple embedded case study, mapping, survey, and archival records, this research involved undertaking in-depth within-and cross-case analyses to examine seven LMSNs, employing a configuration approach. Findings-The existing literature in the operations management (OM) field was shown to provide limited understanding of LMSNs within the emerging omnichannel context. Case results suggest that particular configurations have intrinsic capabilities, and that these directly influence omnichannel performance. The study further proposes a taxonomy of LMSNs comprising six forms, with two hybrids, supporting the notion of equifinality in configuration theory. Propositions are developed to further explore interdependencies between configurational attributes, refining the relationship between LMSN types, and factors influencing omnichannel performance. Practical implications-The findings provide retailers with a set of design parameters for the (re)configuration of LMSNs and facilitate performance evaluation using the concept of fit between configurational attributes. The developed model sheds light on the consequential effects when certain configurational attributes are altered, preempting managerial attention. Given the global trend in urbanization, improved LMSN performance would have positive societal impacts in terms of service and resource efficiency. Originality/value-This is one of the first studies in the OM field to critically analyze LMSNs and their behaviors in omnichannel retailing. Additionally, the paper offers several important avenues for future research.

Fulfillment strategies that offer consumers a consistent shopping experience across different channels and devices through a variety of last-mile delivery options have emerged as a powerful engine for growth in the retail sector. To thrive in this new environment, retailers need to (re)configure their last-mile supply networks to achieve better alignment between delivery responsiveness, product variety, and convenience. This article reviews multiple case studies of leading retailers across geographical regions, maps these retailers’ network configurations, and conducts consumer surveys to examine how retailers operate their last-mile distribution to cope with omnichannel demands. This study develops a typology consisting of four ideal forms of last-mile supply networks differentiated by the speed of delivery responsiveness and level of product variety. It proposes a set of prescriptive guidelines for retailers to undertake reconfiguration of their last-mile distribution.

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Warehouse club (WC) retailers have typically expanded to new markets using stand‐alone stores, rather than pursuing dense store networks as other (non‐WC) retailers have in the past. While this strategy generates operating efficiencies, it also imposes high travel costs on households to shop, which calls into question WC stores' resilience to spatial competition from stores operating other formats. We examine this phenomenon by using data on households' shopping activity across markets served by Costco Wholesale stores. Specifically, we evaluate these stores' resilience to spatial competition by estimating the share of households' expenditures relative to travel costs to shop at the stores and comparing this estimate with that for non‐WC stores. Controlling for households' travel costs across Costco and non‐WC stores, we find that households' share of expenditures at Costco stores exceeds the share at non‐WC stores by 61%. This suggests that Costco stores have an advantage over non‐WC stores when serving market areas with sparse store networks. Nevertheless, we also find that this advantage diminishes with the distance between Costco stores and households and that there is a finite distance beyond which this advantage disappears. We show that this distance (approximately 21 miles) is an important reference point for the evaluation of spatial competition between Costco stores and other stores and the examination of demand saturation at Costco stores.