Back to practice, a decade of research in E-government

E-government is a multidisciplinary field of research based initially on empirical insights from practice. Efforts to theoretically found the field have opened perspectives from multiple research domains. The goal of this chapter is to review evolution of the e-government field from an institutional and an academic point of view. Our position is that e-government is an emergent multidisciplinary field of research in which focus on practice is a prominent characteristic. Each chapter of the book is then briefly presented and is positioned according to a vision of the e-government domain of research.E-government, Case study, E-administration, Public domain

Coin Market Behavior using Social Sentiment Markov Chains

2017 was the pivotal year for the cryptocurrency made its foray into the mainstream financial markets. However, in 2018 it was a panic itself. For the market, it is imperative to ruminate reasonable analysis and expectations compiling various situations. We examine the dynamic interactions between the coin market behavior and market events and social metrics to incorporate potential coin traders’ social belief and response into the market moves. We use hidden Markov model performing four different experiments in two-coin markets. We show that market events such as closing price and trading volume are important predictors for the coin market behavior, but not equally in all experiments. Interestingly, hidden Markov process demonstrates that social media metrics fairly explain the future behavior of the coin markets. Overall, this study shows the combined impact of market events and social factors through varied sequences adjusted for each market situation on the coin market behavior

Un modèle pour la spécification des processus d'analyse des Systèmes d'Information

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Un modèle pour la spécification des processus d'analyse des Systèmes d'Information

National audienc