Why do some consumers shop in this pharmacy? A cross-check of vulnerable characteristics and store types

Research on vulnerable consumers remains unfailing in macromarketing and social marketing. Yet it is unclear how to operationalize the vulnerable consumers by demographics and further to this it is rarely touched how the vulnerable consumers defined by different measures make decision when choosing the place to shop especially in pharmacy retailing sector. The authors conduct a comparative study of variously-defined vulnerable consumers for their shopping store types in an urban Chinese city to investigate how people with distinct backgrounds develop their decision making rules and choose different types of retail pharmacies. This paper casts light on customer heterogeneity associated with different dimensions of vulnerability by using consumer demographics, and indicates that four dimensions of vulnerability exist as cognitive capability, social relations, behaviors, and the institutional protection in health-related sector. These four aspects of vulnerability play a significant role in identifying different shop selection patterns. Findings suggest that efforts to boost store patronage targeting on various consumer groups should have different strategies to reach consumers' mindsets

Why do some consumers shop in this pharmacy? A cross-check of vulnerable characteristics and store types

Research on vulnerable consumers remains unfailing in macromarketing and social marketing. Yet it is unclear how to operationalize the vulnerable consumers by demographics and further to this it is rarely touched how the vulnerable consumers defined by different measures make decision when choosing the place to shop especially in pharmacy retailing sector. The authors conduct a comparative study of variously-defined vulnerable consumers for their shopping store types in an urban Chinese city to investigate how people with distinct backgrounds develop their decision making rules and choose different types of retail pharmacies. This paper casts light on customer heterogeneity associated with different dimensions of vulnerability by using consumer demographics, and indicates that four dimensions of vulnerability exist as cognitive capability, social relations, behaviors, and the institutional protection in health-related sector. These four aspects of vulnerability play a significant role in identifying different shop selection patterns. Findings suggest that efforts to boost store patronage targeting on various consumer groups should have different strategies to reach consumers' mindsets

MOESM1 of Understanding cellular internalization pathways of silicon nanowires

Additional file 1. Wire characterization including representative TEM of unmodified SiNWs and SiNW-NH2, FTIR analysis of unmodified SiNWs and SiNW-NH2, and wide XPS spectrum for an amine-modified silicon nanowires. Confocal images of SiNW-NH2 after incubation with CHO-β cells at 2 and 5-hour incubation periods and a graph plotting the average number of wires internalized per cell as a function of incubation time at 37 °C. Confocal images of HeLa cells at 2 and 5-h incubation time at 37 and 4 °C with unmodified SiNWs

Facile Approach to Prepare Pd Nanoarray Catalysts within Porous Alumina Templates on Macroscopic Scales

The separation and reuse of nanocatalysts remains a major challenge. Herein, we report a novel approach to prepare palladium nanowire array catalysts by reducting PdCl₂ in the pores of anodic aluminum oxide (AAO) templates with backside Al sheets via a hydrothermal process. Suzuki coupling reactions and 4-nitrophenol (4-NP) reduction reactions were employed to study the catalytic activity of the nanocatalysts. The nanocatalysts demonstrated good activity, great thermal stability, easy separation, and excellent reusability in both Suzuki reaction and 4-NP reduction

Zones of climate, soil and vegetation crossed by the transect.

<p>Zones of climate, soil and vegetation crossed by the transect.</p

Variation of air temperature and precipitation in East Central Asia.

<p>Upper panels: Monthly changes of temperature and precipitation at the city Muren in north Mongolia and Yanchi in north China. Lower panels: Spatial changes in annual precipitation and temperature in the transect as interpolated (dots) and observed at meteorological stations (circles with error bars). The stations from south to north are Baoji, Pingliang, Haiyuan, Tongxin, Yanchi, Otog, Dongsheng, Baotou, Guyang, and Mandel, which are in China, and Buyant-Uhaa, Choir, Maanti, Ulaan Baatar, Bulgan, Hutag, Muren, and Hatgal that are in Mongolia.</p

Soil mineral N in comparison to SOC.

<p>Only the total N that includes NO₃-N was shown in the graph.</p

Spatial change of elevation, climate, SOC and other soil properties in the transect.

<p>Note the inversion scale of temperature and pH.</p

Relationship of SOC content with July temperature (a), annual precipitation (b), annual aridity index (c) and the mean grain size of soil particles (d).

<p>The error bars are 2σ standard deviations. The dashed lines bracket the 95% confidence band of the regression analysis.</p

Geographic background of East Central Asia and division of the sampling transect.

<p>A–northern slope of the Qinling Mountains, central China; B–Loess Plateau, north China, which is dichotomy between the south (B₁) and north (B₂); C—central and east Ningxia Autonomous Region and southwest edge of the Mu Us sandy land, north China; D—northwest Ordos plateau, Yellow River valley and the southern slope of Yinshan mountains, north China; E—northern slope of the Yinshan Mountains, north China; F—Gobi desert in north China and south Mongolia; G—north Mongolia. The dots, circles, squares and triangles in various colors in the transect indicate the sampling sites. Insert above: study area in the Eurasia continent, the white arrows indicate the advancing directions of maritime air-masses; Insert below: elevation changes in the transect in meters above sea level (a.s.l.).</p