Giuseppe Pernagallo and Benedetto Torrisi
In the era of big data investors deal every day with a huge flow of information. Given a model populated by economic agents with limited computational capacity, the paper shows…
Abstract
Purpose
In the era of big data investors deal every day with a huge flow of information. Given a model populated by economic agents with limited computational capacity, the paper shows how “too much” information could cause financial markets to depart from the assumption of informational efficiency. The purpose of the paper is to show that as information increases, at some point the efficient market hypothesis ceases to be true. In general, the hypothesis cannot be maintained if the use of the maximum amount of information is not optimal for investors.
Design/methodology/approach
The authors use a model of cognitive heterogeneity to show the inadequacy of the notion of market efficiency in the modern society of big data.
Findings
Theorem 1 proves that as information grows, agents' processing capacities do not, so at some point there will be an amount of information that no one can fully use. The introduction of computer-based processing techniques can restore efficiency, however, also machines are bounded. This means that as the amount of information increases, even in the presence of non-human techniques, at some point it will no longer be possible to process further information.
Practical implications
This paper explains why investors very often prefer heuristics to complex strategies.
Originality/value
This is, to the authors’ knowledge, the first model that uses information overload to prove informational inefficiency. This paper links big data to informational efficiency, whereas Theorem 1 proves that the old notion of efficiency is not well-founded because it relies on unlimited processing capacities of economic agents.
Details
Keywords
Chiara Garau, Giulia Desogus, Alfonso Annunziata and Francesca Mighela
The smart city paradigm has evolved from a perspective focused on technological infrastructures to an approach in which the effects of the technological apparatus improve the…
Abstract
The smart city paradigm has evolved from a perspective focused on technological infrastructures to an approach in which the effects of the technological apparatus improve the quality of life of people, urban resilience, urban sustainability, and health, by introducing the concept of smart and sustainable city 3.0. In this chapter, the authors evaluate mobility as a key aspect of improving the environmental, social, and economic well-being of communities under the central concept of smart and sustainable city 3.0. To this end, the authors underline the link between mobility, the Sustainable Urban Mobility Plans (SUMP), and environmental health. Then, the authors outline (i) the mobility requirements to be met from a smart perspective on environmental health and how (ii) the SUMPs can be considered as the basic tool for connecting smartness with mobility and environmental health. Finally, the results obtained will be discussed, and future directions of this research will be illustrated.
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Sylvain Leduc, Laure Guilbert and Gérard Vallery
– The purpose of this paper is to present the results of field research carried out within a civil army corps responsible for the security of people and property.
Abstract
Purpose
The purpose of this paper is to present the results of field research carried out within a civil army corps responsible for the security of people and property.
Design/methodology/approach
The study deals with e-leadership as it leadership practices related to information and communication technologies (ICTs).
Findings
Having initially described the position of ICTs in current workplace contexts, the authors review the question of the role of leadership as well as that of knowledge acquired in e-leadership.
Practical implications
The results reveal variations in the use of ICTs in leadership situations, which find their origins in multiple determinisms related to the types of task, the technological tools and the constraints inherent to customary situations.
Originality/value
These conclusions are discussed in the light of research centered on the predictive variables arising from the adoption of technologies in the context of the workplace.