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AbstractIn an era where home and work domains have become inseparable, it is surprising that extant research has placed less emphasis on examining the boundary conditions and mechanisms to understand the home‐to‐work crossover and spillover process. Building on the work–home resources theory and the crossover‐spillover perspectives, we test a resource‐based crossover‐spillover model of how one partner's work–family spousal support provision relates to the other partner's creativity at work. We propose that "phubbing" at home affects the crossover process of resource exchange between partners. Regarding the spillover from home to work, we propose that job crafting mediates the association between work–family spousal support and employee creativity. Daily diary data were collected from 65 dual‐earner couples, over 15 working days in the United States. Results from the multilevel actor–partner interdependence model show that work–family support enhances employee creativity by prompting the employee's relational job crafting and cognitive job crafting at work. Moreover, our results reveal that the high level of phubbing at home weakens the work–family support crossover between partners. We contribute to the literature by adding evidence regarding the mechanisms that enable social support at home to turn into employee creativity at work.

PurposeThis study aims to evaluate the usage of partial least squares structural equation modeling (PLS-SEM) in journals related to logistics and supply chain management (LSCM).Design/methodology/approachBased on a structured literature review approach, the authors reviewed 401 articles in the field of LSCM applying PLS-SEM published in 15 major journals between 2014 and 2022. The analysis focused on reasons for using PLS-SEM, measurement model and structural model evaluation criteria, advanced analysis techniques and reporting practices.FindingsLSCM researchers sometimes did not clarify the reasons for using PLS-SEM, such as sample size, complex models and non-normal distributions. Additionally, most articles exhibit limited use of measurement models and structural model evaluation techniques, leading to inappropriate use of assessment criteria. Furthermore, progress in the practical implementation of advanced analysis techniques is slow, and there is a need for improved transparency in reporting analysis algorithms.Originality/valueThis study contributes to the field of LSCM by providing clear criteria and steps for using PLS-SEM, enriching the understanding and advancement of research methodologies in this field.