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The article proposes the expansion of categories used in economic theory. The concept of "lacuna" is introduced with this purpose. On the example of studies in the labour sphere the character and features of the lacuna formed now in the given area of economic knowledge are analyzed. The influence of the lacuna on transformation of categorial apparatus, interrelation of the formed lacuna with non-classical rationality and the cognitive value approach as well as the role of markers in the detection of the lacuna are also discussed.

The purpose of the article is to justify the formation of a new approach to labor motivation, exceeding the limits of the rational schemes and models of economic behavior. It is based on the research of conformity of economic knowledge dynamics. It is determined as cognitive value approach. The author demonstrates the possibilities of the method of constructs and factor analysis in studying different points of view in economics.

The factors that affect the well-being of working pensioners are investigated in the article. We have not used as a data source the traditional methods of obtaining information from respondents (survey results or interviews). However, we have used the data presented in the social networks. The type of analyzed data is qualitative, it limited us in the choice of methods of analysis. On the other hand, the using of non-classical source of social information stimulated us to search the ways in order to improve the technology of working with such a data array as an important independent research problem. An adequate method must identify a system of subjective perceptions of a particular individual, but not to impose it from the outside. This encouraged us to use the tools of content analysis' methods and multidimensional scaling data in the research process. The results of multidimensional scaling allowed us to find the major groups of the problems dominant in the minds of working pensioners. In addition, it was proposed the approach in the article, that could solve the problem of retrieving and analyzing the information that is circulating in the social networks, it also allowed us to expand the opportunities for triangulation of data (the using various types of information sources during the research of one phenomena). This approach will enhance the objectivity of scientific results.

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