RT Journal Article
T1 Analyzing store features for online order picking in grocery retailing: an experimental study
A1 Fernández Vázquez-Noguerol, Mar
A1 Riveiro Sanroman, Sara
A1 Portela Caramés, Iago
A1 Prado Prado, José Carlos
K1 5304.02 Distribución
AB The digital transformation is having a major impact on the consumer product market, pushing food retailers to foster online sales. To avoid large investments, e-grocers are tending to use their existing physical stores to undertake the online order picking process. In this context, these companies must choose in which traditional stores must prepare online orders. The aim of this study is to identify which store features affect order preparation times. The action research approach has been used at a Spanish e-grocer to analyze the characteristics that differentiate picking stores from each other; furthermore, the preparation times for a sample of online orders have been measured. The data were analyzed statistically using one-way ANOVA to define the optimal store in terms of size, assortment, backroom and congestion. The study shows that three of the four characteristics are significant on the preparation time. Therefore, e-grocers using a store-based model can use this information to focus their efforts on optimizing this process, assigning online order picking to the most appropriate stores. The approach used allows the study to be suitable for different retail context. Moreover, the results serve as support for strategic decision-making of researchers and e-grocers seeking to become more competitive in this continually growing market.
PB International Journal of Production Management and Engineering
SN 23404876
YR 2022
FD 2022-07-29
LK http://hdl.handle.net/11093/5334
UL http://hdl.handle.net/11093/5334
LA spa
NO International Journal of Production Management and Engineering, 10(2): 183-193 (2022)
DS Investigo
RD 02-dic-2024