This paper evaluates the time-varying degrees of weak-form efficiency of the crude oil markets using the Modified Shannon Entropy (MSE) and the Symbolic Time Series Analysis (STSA) approach. Using daily data from May 20, 1987 to March 6, 2012 for two worldwide crude oil benchmarks (West Texas...

We survey the main applications of algorithmic (Kolmogorov) complexity to the problem of price dynamics in financial markets. We stress the differences between these works and put forward a general algorithmic framework in order to highlight its potential for financial data analysis. This...

Purpose The purpose of this paper is to describe the way real estate data collection and dissemination can be improved. Design/methodology/approach The paper investigates that how information entropy fits into real estate research and data using Kelly betting as a framework. Findings...

Purpose The purpose of this paper is to build a unified model of human information behavior (HIB) for integrating classical constructs and reformulating the structure of HIB theory. Design/methodology/approach This paper employs equilibrium perspective from partial equilibrium theory to...

Purpose Big data clearly represent an important advance in information systems theory, but to describe it as “revolutionary” is premature. Similar technological breakthroughs, from online databases to ERP, were clearly modulated by advances in the organizational domain, including matters of...