Flexible estimation of time-varying effects for frequently purchased retail goods: a modeling approach based on household panel data

Identifying the factors of China's seasonal retail sales of consumer goods using a data grouping approach–based GRA method

“…For a specific brand preference or product category, time-varying effects will affect its sales. For example, chocolate sales increase significantly during Christmas (Baumgartner et al, 2018). The outbreak of Middle East Respiratory Syndrome (MERS) in South Korea will lead to a decrease in the offline sales of both electronic products and semiluxury goods, while the online sales of electronic products increase and the online sales of semiluxury goods remain unchanged (Jung and Sung, 2017).…”

Retail operations

“…Each of the selected papers deal with planning problems in retail operations at the interfaces with customer management (Steiner et al 2018;Corsten et al 2017), store management (Wensing et al 2018;Turgut et al 2018), distribution planning (Klein et al 2017;Ostermeier et al 2018;Koch et al 2018;Soriano et al 2018) and warehousing and picking (Schubert et al 2018;Boysen et al 2017). In particular, this special issue addresses the following topics: Flexible estimation of time-varying effects for frequently purchased retail goods: A modeling approach based on household panel data Steiner et al (2018) develop an innovative approach for demand estimation. They address varying demand in brand choice modeling due to changing preferences, price sensitivities over time and special occasions (e.g., public holidays) by proposing a flexible multinomial logit model.…”