The antecedent role of personal environmental values in the relationships among trust in companies, information processing and risk perception

We discuss the role of linguistic metaphors as a cognitive frame for the understanding of genetic information processing. The essential similarity between language and genetic information processing has been recognized since the very beginning, and many prominent scholars have noted the possibility of considering genes and genomes as texts or languages. Most of the core terms in molecular biology are based on linguistic metaphors. The processing of genetic information is understood as some operations on text – writing, reading and editing and their specification (encoding/decoding, proofreading, transcription, translation, reading frame). The concept of gene reading can be traced from the archaic idea of the equation of Life and Nature with the Book. Thus, the genetics itself can be metaphorically represented as some operations on text (deciphering, understanding, code-breaking, transcribing, editing, etc.), which are performed by scientists. At the same time linguistic metaphors portrayed gene entities also as having the ability of reading. In the case of such “bio-reading” some essential features similar to the processes of human reading can be revealed: this is an ability to identify the biochemical sequences based on their function in an abstract system and distinguish between type and its contextual tokens of the same type. Metaphors seem to be an effective instrument for representation, as they make possible a two-dimensional description: biochemical by its experimental empirical results and textual based on the cognitive models of comprehension. In addition to their heuristic value, linguistic metaphors are based on the essential characteristics of genetic information derived from its dual nature: biochemical by its substance, textual (or quasi-textual) by its formal organization. It can be concluded that linguistic metaphors denoting biochemical objects and processes seem to be a method of description and explanation of these heterogeneous properties.

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The role of affect in travel risk perception: a new research agenda

Tourism Analysis ◽

10.3727/108354220x15959441493056 ◽

2020 ◽

Author(s):

I-Chieh Michelle Yang

Keyword(s):

Risk Perception ◽

Positive Affect ◽

Research Agenda ◽

Tourism Industry ◽

Psychological Process ◽

Related Research ◽

Risk Research ◽

Conceptual Paper ◽

New Research

This conceptual paper proposes a new research agenda in travel risk research by understanding the role of affect. Extant scholarship tends to focus on travel risk perception or assessment as a cognitive psychological process. However, despite the phenomenal growth of the tourism industry globally, research related to travel risk perception remains stagnant with no significant breakthrough. Drawing on the existing empirical evidences in risk-related research, this paper asserts that affect plays a potent role in influencing travel risk perception – positive affect leads to more positive travel risk perception, vice versa. In this paper, existing empirical evidences and theories are presented to provide support for this proposition.

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Emotion information processing as a new component of emotional intelligence: Theoretical framework and empirical evidence

European Journal of Personality ◽

10.1177/08902070211007672 ◽

2021 ◽

pp. 089020702110076

Author(s):

Marina Fiori ◽

Shagini Udayar ◽

Ashley Vesely Maillefer

Keyword(s):

Emotional Intelligence ◽

Information Processing ◽

Incremental Validity ◽

Stressful Situation ◽

Factorial Structure ◽

Ability Emotional Intelligence ◽

Processing Component ◽

Overall Performance ◽

The Relationship

The relationship between emotional intelligence (EI) and emotion information processing (EIP) has received surprisingly little attention in the literature. The present research addresses these gaps in the literature by introducing a conceptualization of emotional intelligence as composed of two distinct components: (1) EIK or emotion Knowledge component, captured by current ability emotional intelligence tests, related to top-down, higher order reasoning about emotions, and which depends more strongly on acquired and culture-bound knowledge about emotions; (2) EIP or emotion information Processing component, measured with emotion information processing tasks, requires faster processing and is based on bottom-up attention-related responses to emotion information. In Study 1 ( N = 349) we tested the factorial structure of this new EIP component within the nomological network of intelligence and current ability emotional intelligence. In Study 2 ( N =111) we tested the incremental validity of EIP in predicting both overall performance and the charisma of a presenter while presenting in a stressful situation. Results support the importance of acknowledging the role of emotion information processing in the emotional intelligence literature and point to the utility of introducing a new EI measure that would capture stable individual differences in how individuals process emotion information.

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A review of public acceptance of nature-based solutions: The ‘why’, ‘when’, and ‘how’ of success for disaster risk reduction measures

AMBIO ◽

10.1007/s13280-021-01502-4 ◽

2021 ◽

Cited By ~ 1

Author(s):

Carl C. Anderson ◽

Fabrice G. Renaud

Keyword(s):

Ecosystem Services ◽

Risk Perception ◽

Risk Reduction ◽

Disaster Risk Reduction ◽

Disaster Risk ◽

Public Acceptance ◽

Societal Challenges ◽

Increasing Trend ◽

Risk Reduction Measures

AbstractNature-based solutions (NbS) are increasingly recognized as sustainable approaches to address societal challenges. Disaster risk reduction (DRR) has benefited by moving away from purely ‘grey’ infrastructure measures towards NbS. However, this shift also furthers an increasing trend of reliance on public acceptance to plan, implement and manage DRR measures. In this review, we examine how unique NbS characteristics relate to public acceptance through a comparison with grey measures, and we identify influential acceptance factors related to individuals, society, and DRR measures. Based on the review, we introduce the PA-NbS model that highlights the role of risk perception, trust, competing societal interests, and ecosystem services. Efforts to increase acceptance should focus on providing and promoting awareness of benefits combined with effective communication and collaboration. Further research is required to understand interconnections among identified factors and how they can be leveraged for the success and further uptake of NbS.

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