Staring down the lion: Uncertainty avoidance and operational risk culture in a tourism organisation

The academic literature is not clear about how uncertainty influences operational risk decision-making. This study, therefore, investigated operational risk-based decision-making in the face of uncertainty in a large African safari tourism organisation by exploring individual and perceived team member approaches to uncertainty. Convenience sampling was used to identify 15 managers across three African countries in three domains of work: safari camp; regional office; and head office. Semi-structured interviews were conducted in which vignettes were incorporated, to which participants responded with their own reactions and decisions to the situations described, as well as with ways they thought other managers would react to these specific operational contexts. The data were transcribed and qualitatively analysed through thematic coding processes. The findings indicated that approaches to uncertainty were influenced by factors including situational context, the availability and communication of information, the level of operational experience, and participants’ roles. Contextual factors alongside diverse individual emotional and cognitive influences were shown to require prudent consideration by safari tourism operators in understanding employee behavioural reactions to uncertain situations. A preliminary model drawn from the findings suggests that, in practice, decision-making in the face of uncertainty is more complex than existing theoretical studies propose. Specifically, the diverse responses anticipated by staff in response to the vignettes could guide safari tourism management towards better handling of risk under uncertainty in remote locations

Staring down the lion: Uncertainty avoidance and operational risk culture in a tourism organisation

The academic literature is not clear about how uncertainty influences operational risk decision-making. This study, therefore, investigated operational risk-based decision-making in the face of uncertainty in a large African safari tourism organisation by exploring individual and perceived team member approaches to uncertainty. Convenience sampling was used to identify 15 managers across three African countries in three domains of work: safari camp; regional office; and head office. Semi-structured interviews were conducted in which vignettes were incorporated, to which participants responded with their own reactions and decisions to the situations described, as well as with ways they thought other managers would react to these specific operational contexts. The data were transcribed and qualitatively analysed through thematic coding processes. The findings indicated that approaches to uncertainty were influenced by factors including situational context, the availability and communication of information, the level of operational experience, and participants’ roles. Contextual factors alongside diverse individual emotional and cognitive influences were shown to require prudent consideration by safari tourism operators in understanding employee behavioural reactions to uncertain situations. A preliminary model drawn from the findings suggests that, in practice, decision-making in the face of uncertainty is more complex than existing theoretical studies propose. Specifically, the diverse responses anticipated by staff in response to the vignettes could guide safari tourism management towards better handling of risk under uncertainty in remote locations

Population-scale tissue transcriptomics maps long non-coding RNAs to complex disease

Long non-coding RNA (lncRNA) genes have well-established and important impacts on molecular and cellular functions. However, among the thousands of lncRNA genes, it is still a major challenge to identify the subset with disease or trait relevance. To systematically characterize these lncRNA genes, we used Genotype Tissue Expression (GTEx) project v8 genetic and multi-tissue transcriptomic data to profile the expression, genetic regulation, cellular contexts, and trait associations of 14,100 lncRNA genes across 49 tissues for 101 distinct complex genetic traits. Using these approaches, we identified 1,432 lncRNA gene-trait associations, 800 of which were not explained by stronger effects of neighboring protein-coding genes. This included associations between lncRNA quantitative trait loci and inflammatory bowel disease, type 1 and type 2 diabetes, and coronary artery disease, as well as rare variant associations to body mass index.[Display omitted]•29% of lncRNA genes with eQTLs show tissue-specific genetic regulation•Co-expression networks and single-cell data provide annotations for 94% of lncRNAs•Rare variants near lncRNA expression outliers impact complex traits, like BMI•We identify 800 lncRNA-trait relationships not explained by protein-coding genesA systematic analysis of NIH Genotype Tissue Expression (GTEx) project data provides insights into lncRNA expression patterns and functions, explores the impact of genetic variation on lncRNAs, and connects lncRNAs to complex traits and human disease