Purpose: Drawing on the shopping goal theory, this study sets the following research questions. Research question 1: How do keyword characteristics of e-commerce platforms affect seller performance? Research question 2: Do these effects differ according to product type (utilitarian vs hedonic)? Design/methodology/approach: Empirical analysis was conducted using a dataset of 24,907 keywords collected from 30 product categories on Amazon. Multi-level modeling was used to distinguish between product level and keyword level. Findings: Regression analysis showed that keyword readability, customer characteristic keywords and brand characteristic keywords positively affect seller sales. The influence of these keyword characteristics on seller performance varied significantly across different product types. Originality/value: The exploratory results of this study expanded existing studies by adding keyword characteristics to the factors that determine e-commerce platform seller performance and expanded the literature that mainly examines search engine keyword characteristics. In addition, by newly utilizing the LIWC (Linguistic Inquiry and Word Count) methodology, this study provided a novel contribution to the literature on keyword characteristics.

Quantifying the formation and decomposition of amyloid is a crucial issue in the development of new drugs and therapies for treating amyloidosis. The current technologies for grasping amyloid formation and decomposition include fluorescence analysis using thioflavin-T, secondary structure analysis using circular dichroism, and image analysis using atomic force microscopy or transmission electron microscopy. These technologies typically require spectroscopic devices or expensive nanoscale imaging equipment and involve lengthy analysis, which limits the rapid screening of amyloid-degrading drugs. In this study, we introduce a technology for rapidly assessing amyloid decomposition using capillary flow-based paper (CFP). Amyloid solutions exhibit gel-like physical properties due to insoluble denatured polymers, resulting in a shorter flow distance on CFP compared to pure water. Experimental conditions were established to consistently control the flow distance based on a hen-egg-white lysozyme amyloid solution. It was confirmed that as amyloid is decomposed by trypsin, the flow distance increases on the CFP. Our method is highly useful for detecting changes in the gel properties of amyloid solutions within a minute, and we anticipate its use in the rapid, large-scale screening of anti-amyloid agents in the future.