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This study looks at the influence of user engagement on users’ information security practices. A model describing how user engagement (user posts) may influence a person’s decision to employ better security measures (stronger passwords) is tested. Password strength was determined by looking at password length, the types of characters used, the variety of character sequences used, the number of duplicate passwords, and the number of uncrackable passwords. Passwords were tested using a variety of cracking techniques. This study found that individuals from an online gaming site who made more posts to the user forum employed stronger passwords.

Despite the lucrative worldwide software market, little pricing guidance is available in the literature to assist the software marketers. This paper attempts to create models for pricing software using both statistical and Artificial Intelligence (AI) techniques. All approaches utilise the OR/MS Today's 2004 Decision Analysis Software Survey data. The paper concludes that the models produced using AI techniques, with 41 attributes each, show the most promise. The model-building approaches developed can be applied in analysing the software prices world-wide. Software designers and software purchasing managers will be able to evaluate the pricing decisions based upon the significant factors identified.