0000000000121483
AUTHOR
Cristina Ziliani
Understanding complaint channel usage in multichannel retailing
Abstract This study aims to understand customer patterns of channel usage to voice complaints to multichannel retailers. Data were collected from multichannel shoppers for apparel in Spain by means of an online survey. Latent Class Analysis on complaint channel (store, website, mobile app and social media) usage was performed. The analysis identifies four customer segments that use complaint channels differently. Channel dependencies emerged, particularly related to mobile app usage. The study then explores how the identified patterns are related to channel usage for information search and purchase and to the quality of the relationship with the retailer. Results provide theoretical and man…
Online channel adoption in supermarket retailing
Abstract Introducing a new online channel is a crucial decision for brick-and-mortar retailers that requires insight and forecasts into customers' adoption and subsequent behaviour. The aim of this study is to analyse the dynamics in the behavioural heterogeneity of (new) multichannel supermarket customers when the online channel is introduced. A Latent Class Analysis (LCA) was conducted on 1151 adopters of the new online channel of a supermarket retailer to segment customers. We employed an extended “Recency, Frequency and Monetary (RFM)” model that includes customers’ purchases prior to the introduction of the new channel. Results show that adopters of a new channel are not a homogenous g…