We propose a human-centred process for knowledge discovery from unstructured text that makes use of formal concept analysis and emergent self-organizing maps. The knowledge discovery process is conceptualized and interpreted as successive iterations through the concept-knowledge (C-K) theory design square. To illustrate its effectiveness, we report on a real-life case study of using the process at the Amsterdam-Amstelland police in the Netherlands aimed at distilling concepts to identify domestic violence from the unstructured text in actual police reports. The case study allows us to show how the process was not only able to uncover the nature of a phenomenon such as domestic violence, but also enabled analysts to identify many types of anomaly in the practice of policing. We will illustrate how the insights obtained from this exercise resulted in major improvements in the management of domestic violence cases.
The author reports the results of a survey on global compensation management practices in multinational firms, most of them headquartered in continental Europe and the United Kingdom. The study focuses on whether decisions on different compensation and benefits issues in these firms are taken at a headquarters or at the regional, business unit or country/local level. In addition, the author provides more qualitative information on the degree to which the respondents are satisfied with the decision-making process as well as their concrete suggestions for improvement. Finally, the author deals with the question of whether centralization or decentralization is the preferable option.
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