TY - JOUR
T1 - Simulating continuance and resilience
T2 - An agent-based model for nanostores operations
AU - da Silva-Ovando, Agatha Clarice
AU - Mejía, Gonzalo
AU - Mejia-Argueta, Christopher
AU - Granados Rivera, Daniela
AU - Yugar Quiroz, Dayana Nicol
AU - Chong, Mario
PY - 2024
Y1 - 2024
N2 - Paper aims: This study investigates the nanostores' endurance in serving underserved regions in developing countries. The research explores how various competing retail formats influence market choice and demand. We used data from a survey conducted in Sabana Centro, Colombia, in this study. Originality: We believe this is the first study examining the nanostores' resilience in serving emerging markets under this novel hybrid technique. Research method: We propose a multi-agent-based model mimicking nanostore survival and resilience in a competitive market. Household agents use a discrete choice model to select their preferred retail format for household purchases based on location, price, and service levels. Considering supply breakdowns, we tested the outcoming model under different disruption scenarios. Main findings: Results indicated nanostores' great resiliency in competitive markets, specifically in peripheral areas, which are usually neglected by other retail formats. This suggests that this retail format can strategically complement household supply in underserved areas, displaying the importance of supporting these channels and generating tools that improve their performance in the market. Implications for theory and practice: Theoretically, we aim to improve the understanding of households' decision-making process when buying food. Practically, a multi-agent-based model simulating end customers and sellers offers insights into future interventions and their impacts on the retail landscape and various supply chain stakeholders.
AB - Paper aims: This study investigates the nanostores' endurance in serving underserved regions in developing countries. The research explores how various competing retail formats influence market choice and demand. We used data from a survey conducted in Sabana Centro, Colombia, in this study. Originality: We believe this is the first study examining the nanostores' resilience in serving emerging markets under this novel hybrid technique. Research method: We propose a multi-agent-based model mimicking nanostore survival and resilience in a competitive market. Household agents use a discrete choice model to select their preferred retail format for household purchases based on location, price, and service levels. Considering supply breakdowns, we tested the outcoming model under different disruption scenarios. Main findings: Results indicated nanostores' great resiliency in competitive markets, specifically in peripheral areas, which are usually neglected by other retail formats. This suggests that this retail format can strategically complement household supply in underserved areas, displaying the importance of supporting these channels and generating tools that improve their performance in the market. Implications for theory and practice: Theoretically, we aim to improve the understanding of households' decision-making process when buying food. Practically, a multi-agent-based model simulating end customers and sellers offers insights into future interventions and their impacts on the retail landscape and various supply chain stakeholders.
KW - Gestión de la cadena de suministro
KW - Localización de instalaciones
KW - Modelo logit anidado
KW - Simulación multiagente
KW - Logística urbana
KW - Supply chain management
KW - Facility location
KW - Nested logit model
KW - Multi-agent simulation
KW - Urban logistics
U2 - 10.1590/0103-6513.20230092
DO - 10.1590/0103-6513.20230092
M3 - Article in a journal
SN - 0103-6513
VL - 34
JO - Production
JF - Production
M1 - e20230092
ER -