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This study explores multilingual information transitions experienced by migrant families, examining the factors that shape these transitions from the lens of information behavior. The research focuses on understanding how migrant families navigate and adapt to new information landscapes while integrating multiple languages into their daily lives.

This study used a qualitative phenomenological approach, conducting 16 in-depth interviews with migrants from diverse linguistic backgrounds to explore their experiences managing multilingual information. The analysis employed content analysis according to Moustakas (1994).

Findings reveal that migration prompts multilingual information transitions in daily routines, inter-familial interactions and extended family and community engagements. These transitions are shaped by factors such as the need to preserve the family heritage, maintain native language use as well as build and sustain relationships across linguistic boundaries. Migrant families adjust their information practices to navigate multilingual challenges, influencing their communication, documentation and connections with family and community.

The study presents a theoretical model that illustrates the interactions between information transitions and the factors influencing them, providing new insights into how multilingualism shapes family information behavior in the context of migration.

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.