This study investigates the psychological and relational pathways through which Generation Z consumers' value consciousness fosters store loyalty toward private labels (PLs) in Turkey's hard-discount retail sector. Grounded in social exchange theory (SET), the study explores the dual mediating...

This study leverages high-frequency foot-traffic data from SafeGraph to estimate demand shocks in customer-facing establishments across New York City's retail, service, and health sectors. Recognizing that variations in foot traffic can arise from both unpredictable demand shocks and firm-driven...

Efficiency refers to the performance level corresponding to using minimal inputs to achieve the maximum possible outputs. Despite its importance to the Canadian economy, such performance assessments has rarely been undertaken in the hardware retail industry in recent years. We present the...

This paper examines the determinants of Central Bank Digital Currency (CBDC) wallet usage and evaluates the impact of a retail CBDC pilot implemented by the Central Reserve Bank of Peru (BCRP) in regions with low levels of financial inclusion. As of August 2025, the pilot reached approximately...

Erstmalig wurden die Angebotsdaten mit Hilfe von OpenStreetMap-Einzelhandelseinträgen lageentsprechend gewichtet und die zentrale Innenstadtlage über die Fußläufigkeit zur Haupteinkaufsstraße detailliert abgegrenzt. Dies sind die Kernergebnisse der Untersuchung: Die Mieten im städtischen...

Erstmalig wurden die Angebotsdaten mit Hilfe von OpenStreetMap-Einzelhandelseinträgen lageentsprechend gewichtet und die zentrale Innenstadtlage über die Fußläufigkeit zur Haupteinkaufsstraße detailliert abgegrenzt. Dies sind die Kernergebnisse der Untersuchung: Die Mieten im städtischen...

Understanding how investors maintain positions during adverse market conditions, investment grip, is increasingly important as retail participation rises and information environments diversify. While prior research identifies demographic, psychological, and economic determinants of investment...

This study investigates a joint pricing and inventory control problem for fresh agricultural products within dual channels. Considering factors such as service level, holding/lost costs, and consumer demand, this study presents a single-period model, followed by two stochastic dynamic...

Hyperlocal delivery (HLD) refers to a novel model for delivering goods or services to customers within a very limited geographic area, typically within a few miles of their location, in a very short time. With more and more online retailers moving to HLD, it is imperative to analyse the impact...

As electricity systems become more reliant on variable renewable generation and increasingly shaped by digital technologies, policymakers and regulators face a dual challenge: enabling consumers to benefit from the energy transition while ensuring that their behaviour supports system needs. In...

Purpose This study examines how channel integration quality influences consumer behavior-specifically satisfaction, purchase intentions, and brand loyalty-in omnichannel and multi-channel retail environments. It aims to highlight cross-country differences by comparing the Turkish and Kazakhstani...

Background: Convenience stores face volatile demand and a direct trade-off between stock-outs and overstocking, both of which affect service levels and profitability. This study aims to optimize inventory management through a reproducible forecasting-and-optimization workflow, assessing its...

Demand forecasting and quantification of uncertainty is an essential asset of the retail supply chain optimization and risk-based inventory decisions. This study will introduce a new hybrid conditional variance model (combining gradient boosting machines (XGBoost, LightGBM), recurrent neural...

In retail supply chains where products differ in quality and delivery times are quoted in advance, consumers often behave strategically by delaying purchases to benefit from future discounts or faster service. This paper studies a retail competition scenario in which two firms offer products of...

Background: Modern supply chains (SC) are increasingly difficult to manage as they become more complex and interconnected. This encourages companies to rely more on real-time data analysis and analytical tools on operational processes. This study aims to develop and evaluate a Supply Chain Wave...

Large language models (LLMs) are increasingly used by retail traders to interpret information and design complex strategies, yet existing adoption constructs do not capture the decision-time experience of being cognitively scaffolded by an LLM. We define Perceived Cognitive Assistance (PCA) as...

Our study aims to analyze a correlation between the sharing economy and sustainable performance in retail via business model innovation and the driver of digital capabilities. Specifcally, the study investigates the role of digital capabilities for retailer sustainable performance mediated by...

In this paper, we study supplier encroachment in competition with multi-product retailers and its effects on retail profits under endogenous consumer shopping behavior. We find that supplier encroachment (weakly) increases both supplier and retailer profits, as the retailer benefits from better...

This paper explores how AI drives GCC sector retail towards the fulfillment of the UN SDGs. Analyzing a survey conducted on 410 retail executives, using PLS-SEM, this study underlines the role of AI in promoting operational efficiency, waste reduction, and consumer engagement with greener...

Das Statistische Bundesamt erforscht seit 2020 Passantenfrequenzdaten für die amtliche Statistik. Ziel ist unter anderem, aus den hochfrequenten Zeitreihen einen Konjunkturfrühindikator zu entwickeln, der die wirtschaftliche Situation im lokalen Einzelhandel und im Gastgewerbe am aktuellen...

Purpose: This research aims to implement Lean Manufacturing (LM) techniques and tools (T&T) in a retail distribution center located in Mariano Roque Alonso, Paraguay, targeting waste reduction and efficiency improvements in fresh and frozen product (FFP) handling to reduce long lead times....