Télétravail à domicile : comment immuniser les salariés face à la cyber épidémie?
With the generalized containment set up to face the covid-19 epidemic, within the framework
of continuity plans, companies have been forced to organize telework at home without any
particular anticipation. The perpetuation of telework introduces into organizations risks
Une analyse des comportements de recommandation de produits à partir des avis postés sur Amazon
Amazon’s implementation of a rating system for goods is one of the major innovations of the e-commerce industry. This has led to new literature on the reasons behind consumers making use of the system, investigated using declarative surveys.
Unveiling micro-foundations of digital transformation: Cognitive models, routines, and organizational structures in agri-food SMEs
Volatility contagion and connectedness between WTI and commodity markets
This article analyzes the contagion risk between WTI crude oil prices and several major commodities markets. We study the dynamics of commodity connectedness, and we measure volatility contagion under various market conditions and commodity price cycles between 1982 and 2020.
When cause familiarity leads to positive attitudes toward brands in a cause–brand alliance: a cross-cultural study during the COVID-19 pandemic
Purpose – Building on construal level theory and applying the hypothetical distance dimension, this cross-
cultural study (individualistic vs collectivistic culture) aims to explore the effects of cause familiarity on
Bitcoin vs. fiat currencies: Insights from extreme dependence and risk spillover analysis with financial markets
We compare Bitcoin to fiat currencies (EUR, GBP, and JPY) using extreme dependence and temporal dynamic risk spillover analysis with various financial markets covering fixed-income, stock, and commodity indices.
Herding behavior in exploring the predictability of price clustering in cryptocurrency market
We propose the K-means approach and the Hidden Markov Model (HMM), to predict the phenomenon of price clustering of the cryptocurrency market. This approach aims to understand the relationship of price clustering with herding behavior, volatility, price, and economic policy uncertainty (EPU).