This paper presents a software solution that is developed to automatically classify companies by taking into account their level of social responsibility. The application is based on ontologies and on intelligent agents. In order to obtain the data needed to evaluate companies, we developed a...

Although data mining has been successfully implemented in the business world for some time now, its use in higher education is still relatively new, i.e. its use is intended for identification and extraction of new and potentially valuable knowledge from the data. Using data mining the aim was...

In economic and social sciences it is crucial to test theoretical models against reliable and big enough databases. The general research challenge is to build up a well-structured database that suits well to the given research question and that is cost efficient at the same time. In this paper...

Patents are one of the most valuable sources of technical and commercial knowledge. Although patents are public and can be easily searched on the Web, for most countries, there is no easy way to download bulk patent data. The purpose of this paper is to create a web mining framework used to...

This paper emphasizes the importance of including supply-side substitution when assessing mergers in data-driven markets. A review of three merger decisions involving big data giants such as Facebook and Google reveals that competition authorities have so far neglected important aspects of...

Are there economies of scale to data in internet search? This paper is first to use real search engine query logs to empirically investigate how data drives the quality of internet search results. We find evidence that the quality of search results improve with more data on previous searches....

Recent progress in information technologies provides sellers with detailed knowledge about consumers' preferences, approaching perfect price discrimination in the limit.We construct a model where consumers with less strategic sophistication than the seller's pricing algorithm face a trade-off...

Are there economies of scale to data in internet search? This paper is first to use real search engine query logs to empirically investigate how data drives the quality of internet search results. We find evidence that the quality of search results improve with more data on previous searches....

This paper provides a definition of “big data” in antitrust. While big data has become an important topic in the antitrust literature and in competition policy practice, no clear-cut definition of big data has been provided yet. This contribution fills a gap clarifying, that a big data...

An increasing amount of research papers is devoted in modeling Web functions. This effort is coming from many diverse disciplines like Computer Science, Economics, Mathematics, Social studies and others. At this stage, a set of definitions concerning the basic Web functions is needed in order to...