Explaining and predicting new retail market and consumer behavior habits using partial least squares structural equation modeling (PLS-SEM)

Jun-Hwa Cheah and Joseph F. Hair

Journal of Retailing and Consumer Services, 2025, vol. 87, issue C

Abstract: This special issue comprises a series of methodological advancements and applications of partial least squares structural equation modeling (PLS-SEM) in explaining and predicting new retail market and consumer behaviour habits. A total of five articles were carefully reviewed and selected after several rounds of evaluations. The articles primarily focus on topics related to the combination of multi-methods in PLS-SEM, such as importance-performance map analysis, necessary condition analysis, multigroup analysis, and prediction in the retail and services market.

Keywords: Partial least squares structural equation modelling; Partial least squares path modelling; Methodological advancement; Multi-methods; Retail market; Consumer behaviour (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:joreco:v:87:y:2025:i:c:s0969698925002255

DOI: 10.1016/j.jretconser.2025.104446

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