The starting point of a researcher's methodological choice within information systems is not so much a problem of how many methods we employ or if those are of a quantitative or a qualitative nature, but the ability to identify the philosophical and theoretical assumptions which leads to the choice of the appropriate methodology. In practice, despite the recognition of the virtues and the role of qualitative methods in information systems research, explicit institutional barriers and implicit functionalistic assumptions within the field have prevented much progress in their application. Qualitative Research in Information Systemsoff as qualitative research. Using qualitative methods implies allowing and acknowledging the subjectivity of the research process, which should be looked upon as a strength rather than as a weakness.

This study investigates how orthographic modifications to the stems of complex words affect morphological processing in proficient young Spanish readers and children with reading deficits. In a definition task all children, irrespective of their reading skill, were worse at defining derived words that had an orthographic alteration of the base stem than words with no orthographic alteration. In a go/no-go lexical decision task, an interaction between base frequency and orthographic alteration was found: base frequency affected derived words with no orthographic alteration more than words with alterations, irrespective of reading skill. Overall, results show that all children benefit from a high frequency base, skilled children outperform children with reading deficits and morphological processing is affected by orthographic alterations similarly in proficient and impaired readers.

Intelligent surveillance aims at providing artificial systems in order to monitor and improve the security of public and private spaces. Since these environments are complex and the information is distributed through them, agent-based solutions represent a good approach when monitoring moving objects. This paper describes how an existing agent platform has been adopted and used to carry out intelligent surveillance. Within this context, agents implement a behavior-based model that is flexible enough to deal with the challenges that the surveillance tasks pose. The experimental results show how this agent-based approach can contribute to understand events in urban traffic environments.

The different ways of handling a conflict have traditionally been considered as behavioural characteristics of the. individual. In this paper, we endeavour to analyse the different ways of handling a conflict in relation to the culture of the organisations. We analyse the culture with three dimensions: high versus low identification of the members with the objectives of the organisation; high versus low power distance; closed versus open system. Combining these three dimensions we elaborate different patterns of organisational culture favouring different forms of conflict behaviour. Departing from these suppositions we accomplished an intervention in a sanitary organisation with the general hypothesis that the culture of this organisation responded to the definition of Pattern 4: high power distance + closed system + low identification. This cultural pattern had to strengthen the behaviour of passive competition, based on resistance and control of the programme which the Basque Public Health Service wanted to impose.

This chapter presents a study to identify with classification techniques and digital recognition through the construction of a prototype phase that predicts criminal behavior detected in video cameras obtained from a free platform called MOTChallenge. The qualitative and descriptive approach, which starts from individual attitudes, expresses a person in his expression, anxiety, fear, anger, sadness, and neutrality through data collection and feeding of some algorithms for assisted learning. This prototype begins with a degree higher than 40% on a scale of 1-100 of a person suspected, subjected to a two- and three-iterations training parameterized into four categories—hood, helmet, hat, anxiety, and neutrality—where through orange and green boxes it is signaled at the time of the detection and classification of a possible suspect, with a stability of the 87.33% and reliability of the 96.25% in storing information for traceability and future use.