Ultra-high-net-worth individuals: self-presentation and luxury consumption on Instagram

Purpose Limited research has examined the segment of ultra-high-net-worth individuals (UHNWIs). This study aims to explore how this segment self-presents with regard to luxury on Instagram. Design/methodology/approach We use a qualitative research approach to content-analyze 815 publicly available photos on Instagram. The analytical approach involves multiple stages and yields three key themes. Findings Through Instagram images, UHNWIs engage in inconspicuous consumption via subtle displays of luxury possessions and more cues that indicate luxury experiences, power and social connections. The results further identify four dimensions of self-presentation in luxury consumption on social media: ostentatious, humble, revealed and hidden. Research limitations/implications The study adopts an inductive approach to identify themes related to UHNWIs’ self-presentation on Instagram. Other research could adopt a quantitative approach to identify drivers of the various themes. In addition, the unit of analysis was the photo posted by the UHNWI rather than the UHNWI himself or herself. Further research might explicitly consider the overall profile of each UHNWI and their holistic approach to posting with a view to developing a typology of UHNWIs based on the way they self-present and portray their luxury consumption. Practical implications Luxury marketers should focus on inconspicuous products and experiences that allow the UHNWIs to decelerate and spend time with their loved ones, access rare experiences and demonstrate power via their networks. Originality/value We extend prior research on self-presentation on Instagram. The authors focus on UHNWIs, a neglected yet significant segment of the luxury market

All-optical self-routing of 40 Gb/s DPSK packets

We demonstrate a self-routing all-optical circuit for switching 40 Gb/s DPSK packets. In our scheme, an all-optical header processor feeds a set-reset flip-flop that drives a coherent wavelength converter. We report an overall limited power penalty

Surveillance strategies for Classical Swine Fever in wild boar – a comprehensive evaluation study to ensure powerful surveillance

Surveillance of Classical Swine Fever (CSF) should not only focus on livestock, but must also include wild boar. To prevent disease transmission into commercial pig herds, it is therefore vital to have knowledge about the disease status in wild boar. In the present study, we performed a comprehensive evaluation of alternative surveillance strategies for Classical Swine Fever (CSF) in wild boar and compared them with the currently implemented conventional approach. The evaluation protocol was designed using the EVA tool, a decision support tool to help in the development of an economic and epidemiological evaluation protocol for surveillance. To evaluate the effectiveness of the surveillance strategies, we investigated their sensitivity and timeliness. Acceptability was analysed and finally, the cost-effectiveness of the surveillance strategies was determined. We developed 69 surveillance strategies for comparative evaluation between the existing approach and the novel proposed strategies. Sampling only within sub-adults resulted in a better acceptability and timeliness than the currently implemented strategy. Strategies that were completely based on passive surveillance performance did not achieve the desired detection probability of 95%. In conclusion, the results of the study suggest that risk-based approaches can be an option to design more effective CSF surveillance strategies in wild boar

Comparison of bulk milk antibody and youngstock serology screens for determining herd status for Bovine Viral Diarrhoea Virus

BACKGROUND: This paper examines the use of Bulk Milk antibody (BM Ab), Youngstock (YS) serology (Check Tests) and Bulk Milk PCR (BM PCR) for determining the presence or absence of animals persistently infected (PI) with Bovine Viral Diarrhoea Virus (BVDV) within a herd. Data is presented from 26 herds where average herd sizes were 343 and 98 animals for dairy and beef units respectively. Seventeen herds had sufficient data to analyse using Receiver Operating Characteristic (ROC) and probability curves enabling calculation of the sensitivity and specificity of BM Ab and YS Check tests for determining the presence of PI animals within herds in this dataset. RESULTS: Using BM Ab to screen a herd for the presence of PI animals, achieved a herd level sensitivity and specificity of 80.00 % (44.39–97.48 %) and 85.71 % (42.13–99.64 %) respectively (95 % confidence intervals quoted). Sensitivity and specificity of YS Check Tests at a cut off of 3/10 Ab positive YS were 81.82 % (48.22–97.72 %) and 66.67 % (22.28–95.67 %) respectively (95 % confidence interval). These results were achieved by comparing the screening tests to whole herd PI searches that took place 1–19 months after the initial screen with a mean interval of 8 months. Removal of this delay by taking BM samples on the day of a whole herd test and simulating a YS Check Test from the herd test data produced improvements in the reliability of the Check Tests. BM Ab sensitivity and specificity remained unchanged. However, the Check Test sensitivity and specificity improved to 90.9 % (58.72–99.77 %) and 100 % (54.07–100 %) respectively (95 % confidence interval) at a cut of off 2.5/10 Ab positive animals. Our limited BM PCR results identified 5/23 dairy farms with a positive BM PCR result; two contained milking PIs, two had non-milking PIs and another had no PIs identified. CONCLUSIONS: Delaying a PI search following an initial herd screen decreased the diagnostic accuracy and relevance of our results. With careful interpretation, longitudinal surveillance using a combination of the techniques discussed can successfully determine farm status and therefore allow changes in BVDV status to be detected early, thus enabling prompt action in the event of a BVDV incursion