Diya Sharma, Renu Ghosh, Charu Shri and Divya Khatter
Cryptocurrency, an emerging asset class, is a virtual form of currency that uses cryptography for security and operates on decentralised networks based on blockchain technology…
Abstract
Purpose
Cryptocurrency, an emerging asset class, is a virtual form of currency that uses cryptography for security and operates on decentralised networks based on blockchain technology. It offers both challenges and opportunities for investors, particularly in terms of diversification, risk management and potential returns. Considering this, the present study attempts to investigate the sentimental factors influencing cryptocurrency while unravelling the intricate interplay among these factors.
Design/methodology/approach
To achieve this, interpretive structure modelling (ISM) identifies the hierarchical model of critical sentimental factors, while Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) explores their dependency and driving power. Analytic hierarchy process (AHP) is adopted to rank the drivers.
Findings
Findings reveal that the pandemic, war, religiosity and economic uncertainty are top-level factors dominantly shaping cryptocurrency trends. Simultaneously, Google Search Trends and Herding emerge as the most dependent factors, influenced by sentiments that emerged from other factors.
Practical implications
The study unpacks implications, acknowledges limitations and proposes avenues for future research.
Originality/value
By exploring the interactive interrelationships among identified sentimental factors through ISM-MICMAC analysis and ranking via the AHP, this paper will have a great influence while contributing towards this evolving field.
Details
Keywords
Renu Isidore R. and Christie P.
The purpose of this paper is to test the relationship between the annual income earned by the investors and eight behavioural biases exhibited by the investors such as mental…
Abstract
Purpose
The purpose of this paper is to test the relationship between the annual income earned by the investors and eight behavioural biases exhibited by the investors such as mental accounting, anchoring, gambler’s fallacy, availability, loss aversion, regret aversion, representativeness and overconfidence.
Design/methodology/approach
The relationship is derived based on a questionnaire survey conducted on 436 secondary equity investors residing in Chennai, India.
Findings
Analysis of variance test was performed on the normalised and non-normalised version of the biases divided in terms of the annual income earned by the investor. The test found that for the significant biases except the overconfidence bias, the investors with higher annual income were less prone to the biases when compared to investors with lower annual income. On the other hand, with respect to the overconfidence bias, the investors with higher annual income were prone to exhibit overconfidence bias when compared to the investors with lower annual income. Correlation analysis showed that the investors with high annual income were more likely to exhibit higher overconfidence bias but lower representativeness, loss aversion, availability and mental accounting biases.
Originality/value
A contribution in the financial and economic front which would benefit the financial advisors to now consider the income earned by the clients as an important factor while giving financial advice to the clients and while guiding them about the biases they are prone to exhibit.
Details
Keywords
Danladi Chiroma Husaini, Vinlee Bernardez, Naim Zetina and David Ditaba Mphuthi
A direct correlation exists between waste disposal, disease spread and public health. This article systematically reviewed healthcare waste and its implication for public health…
Abstract
Purpose
A direct correlation exists between waste disposal, disease spread and public health. This article systematically reviewed healthcare waste and its implication for public health. This review identified and described the associations and impact of waste disposal on public health.
Design/methodology/approach
This paper systematically reviewed the literature on waste disposal and its implications for public health by searching Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA), PubMed, Web of Science, Scopus and ScienceDirect databases. Of a total of 1,583 studies, 59 articles were selected and reviewed.
Findings
The review revealed the spread of infectious diseases and environmental degradation as the most typical implications of improper waste disposal to public health. The impact of waste includes infectious diseases such as cholera, Hepatitis B, respiratory problems, food and metal poisoning, skin infections, and bacteremia, and environmental degradation such as land, water, and air pollution, flooding, drainage obstruction, climate change, and harm to marine and wildlife.
Research limitations/implications
Infectious diseases such as cholera, hepatitis B, respiratory problems, food and metal poisoning, skin infections, bacteremia and environmental degradation such as land, water, and air pollution, flooding, drainage obstruction, climate change, and harm to marine and wildlife are some of the public impacts of improper waste disposal.
Originality/value
Healthcare industry waste is a significant waste that can harm the environment and public health if not properly collected, stored, treated, managed and disposed of. There is a need for knowledge and skills applicable to proper healthcare waste disposal and management. Policies must be developed to implement appropriate waste management to prevent public health threats.
Details
Keywords
Juliette I. Franqueville, James G. Scott and Ofodike A. Ezekoye
The COVID-19 pandemic dramatically affected the fire service: stay-at-home orders and potential exposure hazards disrupted standard fire service operations and incident patterns…
Abstract
Purpose
The COVID-19 pandemic dramatically affected the fire service: stay-at-home orders and potential exposure hazards disrupted standard fire service operations and incident patterns. The ability to predict incident volume during such disruptions is crucial for dynamic and efficient staff allocation planning. This work proposes a model to quantify the relationship between the increase in “residential mobility” (i.e. time spent at home) due to COVID-19 and fire and emergency medical services (EMS) call volume at the onset of the pandemic (February – May 2020). Understanding this relationship is beneficial should mobility disruptions of this scale occur again.
Design/methodology/approach
The analysis was run on 56 fire departments that subscribe to the National Fire Operations Reporting System (NFORS). This platform enables fire departments to report and visualize operational data. The model consists of a Bayesian hierarchical model. Text comments reported by first responders were also analyzed to provide additional context for the types of incidents that drive the model’s results.
Findings
Overall, a 1% increase in residential mobility (i.e. time spent at home) was associated with a 1.43% and 0.46% drop in EMS and fire call volume, respectively. Around 89% and 21% of departments had a significant decrease in EMS and fire call volume, respectively, as time spent at home increased.
Originality/value
A few papers have investigated the impact of COVID-19 on fire incidents in a few locations, but none have covered an extensive number of fire departments. Additionally, no studies have investigated the relationship between mobility and fire department call volumes.