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1 – 4 of 4Emmanuelle Dutertre and Cyril Fouillet
This paper aims to explore the protective and risk factors involved in student loneliness after the lockdown measures taken limiting social contact during the COVID-19 pandemic in…
Abstract
Purpose
This paper aims to explore the protective and risk factors involved in student loneliness after the lockdown measures taken limiting social contact during the COVID-19 pandemic in France.
Design/methodology/approach
Using a cross-sectional survey methodology, the authors collected data on a sample of 546 students pursuing management education in a French business school in several campuses. Loneliness was measured by the three-item UCLA loneliness scale. Logistic regression analysis examined the factors influencing student loneliness.
Findings
The prevalence of loneliness was 23.4%. Risk factors for loneliness were social isolation especially in terms of intensity and isolation from friends (OR: 5.40), having a regular paid activity (OR: 1.62) and not getting academic help from other students (OR: 2.11) or taking meals alone during the lockdowns (OR: 1.94). Being a male student (OR: 0.47), practicing a sport (OR: 0.64) and studying at a specific campus (OR: 0.43) were protective factors.
Practical implications
Understanding protective and risk factors affecting student loneliness helps higher education decision-makers to take the necessary actions to enhance student well-being which have an effect on learning processes.
Originality/value
Loneliness is a major public health concern among students. Knowledge of the determinants for loneliness are limited and this article attempts to augment this by exploring several protective and risk indicators of loneliness among French students.
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Ganisha N.P. Athaudage, H. Niles Perera, P.T. Ranil S. Sugathadasa, M. Mavin De Silva and Oshadhi K. Herath
The crude oil supply chain (COSC) is one of the most complex and largest supply chains in the world. It is easily vulnerable to extreme events. Recently, the severe acute…
Abstract
Purpose
The crude oil supply chain (COSC) is one of the most complex and largest supply chains in the world. It is easily vulnerable to extreme events. Recently, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (often known as COVID-19) pandemic created a massive imbalance between supply and demand which caused significant price fluctuations. The purpose of this study is to explore the influential factors affecting the international COSC in terms of consumption, production and price. Furthermore, it develops a model to predict the international crude oil price during disease outbreaks using Random Forest (RF) regression.
Design/methodology/approach
This study uses both qualitative and quantitative approaches. A qualitative study is conducted using a literature review to explore the influential factors on COSC. All the data are extracted from Web sources. In addition to COVID-19, four other diseases are considered to optimize the accuracy of predictive results. A principal component analysis is deployed to reduce the number of variables. A forecasting model is developed using RF regression.
Findings
The findings of the qualitative analysis characterize the factors that influence international COSC. The findings of quantitative analysis emphasize that production and consumption have a higher contribution to the variance of the data set. Also, this study found that the impact caused to crude oil price varies with the region. Most importantly, the model introduced using the RF technique provides a high predictive ability in short horizons such as infectious diseases. This study delivers future directions and insights to researchers and practitioners to expand the study further.
Originality/value
This is one of the few available pieces of research which uses the RF method in the context of crude oil price forecasting. Additionally, this study examines international COSC in the events of emergencies, specifically disease outbreaks using machine learning techniques.
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This study aims to examine the cryptocurrency adoption (CA) level among Indian retail investors who use cryptocurrency as an investment and mode of transaction.
Abstract
Purpose
This study aims to examine the cryptocurrency adoption (CA) level among Indian retail investors who use cryptocurrency as an investment and mode of transaction.
Design/methodology/approach
Through self-administered survey questionnaires, data is collected from 397 retail investors of Haryana (India). This study adopted a quantitative method using partial least squares structural equation modeling (PLS-SEM).
Findings
This paper offered a robust model with a high explanatory value for CA in which four of the five proposed factors of diffusion of innovation theory (trialability, compatibility, complexity and observability) and one of the two proposed factors of consumer behavioral theory (perceived value) significantly influences CA. More specifically, the absence of regulatory support is a barrier to the broad adoption of cryptocurrencies, as its regulations are necessary to mitigate or minimize uncertain outcomes.
Research limitations/implications
This research primarily focuses on CA in India. Thus, it can be extended to cover diverse other countries for more precise results.
Practical implications
The results provide insights to the government to design the policies, better regulate and make investment strategies that can ultimately enhance CA. In addition, the study’s results also inform financial educators, policymakers, employers and academicians about the significance of several variables affecting CA in India.
Social implications
From a social standpoint, this study is an advance that directs central banks and governments to develop, regulate and manage digital currencies and implement a digital currency ecosystem. Moreover, the results assist in understanding investors’ perceptions and decision-making perspectives toward cryptocurrencies through the country’s digitalization.
Originality/value
This paper fills the study gap to assist policymakers and cryptocurrency experts in broadening their knowledge base and recognizing prioritized intentions. Additionally, this study provides a theoretical model with the latent variable for a present and pertinent matter.
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Domenico Campa, Alberto Quagli and Paola Ramassa
This study reviews and discusses the accounting literature that analyzes the role of auditors and enforcers in the context of fraud.
Abstract
Purpose
This study reviews and discusses the accounting literature that analyzes the role of auditors and enforcers in the context of fraud.
Design/methodology/approach
This literature review includes both qualitative and quantitative studies, based on the idea that the findings from different research paradigms can shed light on the complex interactions between different financial reporting controls. The authors use a mixed-methods research synthesis and select 64 accounting journal articles to analyze the main proxies for fraud, the stages of the fraud process under investigation and the roles played by auditors and enforcers.
Findings
The study highlights heterogeneity with respect to the terms and concepts used to capture the fraud phenomenon, a fragmentation in terms of the measures used in quantitative studies and a low level of detail in the fraud analysis. The review also shows a limited number of case studies and a lack of focus on the interaction and interplay between enforcers and auditors.
Research limitations/implications
This study outlines directions for future accounting research on fraud.
Practical implications
The analysis underscores the need for the academic community, policymakers and practitioners to work together to prevent the destructive economic and social consequences of fraud in an increasingly complex and interconnected environment.
Originality/value
This study differs from previous literature reviews that focus on a single monitoring mechanism or deal with fraud in a broadly manner by discussing how the accounting literature addresses the roles and the complex interplay between enforcers and auditors in the context of accounting fraud.
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