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"Exploring factors to interpretation of targeted nutrition messages for" by Yasmine Probst, Maddison Luscombe et al.

Objectives: Current dietary recommendations for MS suggest following national dietary guidelines developed for the general population. The aim of this study was to explore the interpretation of MS-targeted nutrition messages. Methods: Using the Elaboration Likelihood Model of persuasion, three nutrition messages were developed targeting the strongest evidence for MS: vitamin D, dietary fat, and dietary diversity. Semi-structured interviews including the cognitive ‘thinking-aloud’ technique were used to test the messages with adults living with MS. Data were transcribed and coded thematically. Results: Theoretical saturation was reached by 15 interviews. The data corpus indicated three themes and seven subthemes. The data revealed that people living with MS changed their diet after MS diagnosis. Dietary change was due to uncertainty, fear of disease progression and risk of relapse. The admiration and scepticism of extremist MS diets depended on personal vulnerability and support fro ....

Elaboration Likelihood Model , Health Care Access , Multiple Sclerosis , Nutrition Messages , Qualitative Study ,

"The effect of dynamic information cues on sales performance in live st" by Lin Xiao, Xinru Lin et al.

Compared with traditional e-commerce, the advanced technology of live streaming e-commerce provides more dynamic information cues to enable viewers to make better decisions. Drawing on the information foraging theory (IFT) and elaboration likelihood model (ELM), we construct a synthetic model by considering how live streaming information cues influence viewers’ decision making via two distinct routes (central and peripheral). Using the technology of web crawling and text mining, Douyin’s live streaming data were collected, transformed, and then analyzed by fixed-effect regression. The results indicated that product interpretation duration, popularity cue, and herding information are significantly associated with sales performance in live streaming e-commerce. This study enriches our knowledge about live streaming e-commerce, extends the application of IFT and ELM in the individuals’ information foraging and processing by using objective data in the live streaming e-commerce conte ....

Dynamic Information Cues , Elaboration Likelihood Model , Nformation Scents , Live Streaminge Commerce , Sales Performance , Text Mining ,