The Demand for the Healthcare Services: the Opportunities of Big Data in Predicting Patient Flow
In many organizations implementation of innovation is initiated by the management with application of so-cold “top-down” approach: strategic targets and key success factors with the initiatives of its achieving are formed and consolidated in different regulations, procedures, rules and instructions, which are brought to concrete employees later. The feedback from employees is occurred on the fact of initiative execution in form of corrective procedures locally, but the forming of innovation is still the top-management prerogative.
Such centric approach is mostly demotivating approach for initiative employees, who generate, implement and use innovation ideas. For this problem correction hybrid methods are used. The creation of special department inside the company is supposed to be done. It bears duties of innovation catalyst (usually R&D and HR departments have this role). Among other things this department is responsible for inspiration of average executive on development of innovation, determination and consolidation of corporate values and standards of behavior. In the end, the employees orientation on single corporate targets, the increase of corporate spirit would again “top-down” imposed and the department is just the retransmitter of values that are determined by the management.
How should the politics of relations between colleagues, clients and partners be naturally created and how to establish the awareness by the company employees of their personal responsibility and their personal role in corporate values realization, creation of innovation atmosphere inside the organization that does not resist the innovation? The approach, which is described in this article, supposes the forming of distributed network inside the organization with the transfer to it the general effort in the sphere of creating innovations and implementing the corporate ethics principals.
The article is based on the introductory part of the collection on “Material Culture and Technology in Everyday Life: Ethnographic Approaches” (2009). The author presents a brief review of concepts that have been lately employed in research on material or technological culture. He attempts to show that different disciplines do in fact use adjacent notions and concepts in thinking about materiality, and tries to delineate ways of bringing the different research traditions to a unified platform that could serve as a theoretical foundation for the complex materialistic study of technological culture.
Pattern structures, an extension of FCA to data with complex descriptions, propose an alternative to conceptual scaling (binarization) by giving direct way to knowledge discovery in complex data such as logical formulas, graphs, strings, tuples of numerical intervals, etc. Whereas the approach to classification with pattern structures based on preceding generation of classifiers can lead to double exponent complexity, the combination of lazy evaluation with projection approximations of initial data, randomization and parallelization, results in reduction of algorithmic complexity to low degree polynomial, and thus is feasible for big data.
The article is dedicated to the analysis of Big Data perspective in jurisprudence. It is proved that Big Data have to be used as the explanatory and predictable tool. The author describes issues concerning Big Data application in legal research. The problems are technical (data access, technical imperfections, data verification) and informative (interpretation of data and correlations). It is concluded that there is the necessity to enhance Big Data investigations taking into account the abovementioned limits.