The presentation of management information on screens and paper is aimed at the initiation of control actions in order to bring about predefinied goals. The terms and concepts used in this control information can be interptreted in different ways. It is of vital importance that adequate definitions for these terms and concepts are provided, because of the area of tension betrween those that control and those being controlled. The creation of a common conceptual framework and the maintenance of concepts and definitions can be supported by the construction of an organization-specific lexicon and the use of modern IT tools.
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A common strategy to assign keywords to documents is to select the most appropriate words from the document text. One of the most important criteria for a word to be selected as keyword is its relevance for the text. The tf.idf score of a term is a widely used relevance measure. While easy to compute and giving quite satisfactory results, this measure does not take (semantic) relations between words into account. In this paper we study some alternative relevance measures that do use relations between words. They are computed by defining co-occurrence distributions for words and comparing these distributions with the document and the corpus distribution. We then evaluate keyword extraction algorithms defined by selecting different relevance measures. For two corpora of abstracts with manually assigned keywords, we compare manually extracted keywords with different automatically extracted ones. The results show that using word co-occurrence information can improve precision and recall over tf.idf.
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IT organizations and CEO‟s are, and should be, concerned these days about the (lack of) data confidentiality and the usage of „shadow‟ IT systems by employees. Not only does the company risk monetary loss or public embarrassment, the senior management might also risk personal fines or even imprisonment. Several trends reinforce the attention for these subjects, including the fact that an increasing number of people perform parts of their work tasks from home (RSA, 2007) and the increasing bandwidth available to internet users which makes them rely on the Internet for satisfying their business and personal computing needs (Desisto et al. 2008). Employee compliance with the existing IT security policies is therefore essential. This paper presents a study on factors that influence non-compliance behavior of employees in organizations. The factors found in literature are tested in a survey study amongst employees of a big-four accountancy firm in the Netherlands and Belgium. The study concludes that stricter IT governance and cultural aspects are the most important factors influencing non-compliance behavior.
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