As the amount of data increases, organizations need to consider how to use their information assets successfully, an organizational capability that we call information intelligence. Starting from a particular area of information management, that of using market research data, and based on our interviews with market research as well as business intelligence executives, in this paper we discuss w...

The marketing concept states that firms who first determine and then satisfy customer needs should realize superior performance. Market orientation (MO) operationalizes the marketing concept and is the organization-wide generation of market intelligence, dissemination of the intelligence across departments, and organization-wide responsiveness to it (Kohli and Jaworski, 1990). Market oriented f...

Gode & Sunder's (1993) results from using \zerointelligence" (zi) traders, that act randomly within a continuous double-auction (cda) market, appear to imply that human-like convergence to the theoretical equilibrium price in such markets is determined more by market structure than by the intelligence of the traders in that market. This paper presents a mathematical analysis that predicts serio...

The spirit of business intelligence lies at the heart of information markets. This paper advocates the use of information markets as business intelligence tools for decision support. It highlights the market promising potentials, and the business need for collective intelligence in decision making. Market forecasts can reduce uncertainty surrounding business decisions and improve the quality of...

This paper shows how technologies for Web data extraction, syndication and integration allow for new applications and services in the Business Intelligence and the Semantic Web domain. First, we demonstrate how knowledge about market developments and competitor activities on the market can be extracted dynamically and automatically from semi-structured information sources on the Web. Then, we s...

Abstract Economists have often viewed the adoption of artificial intelligence (AI) as a standard process innovation where we expect that efficiency will drive in competitive markets. This paper models AI based on recent advances machine learning allow firms to engage better prediction. Focusing prediction demand, it is demonstrated complement variable inputs whose levels are altered directly by...

In our work the focus is on emergent behaviour in large groups of stock market participants. We do not assume that market participants take rational investment decisions based on full information as would be the case in established views of the capital market. Consequently, the market is not modelled top-down with mathematical equations. Instead, trading decisions and market behaviour are the r...