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Title: Well-being in the Workplace: the Case of Working Pensioners
Authors: Kaz, Mikhail Semenovich
Kuchkartaeva, Anastasiya
Keywords: well-being; cognitive-value approach; quality of elderly people’s life; благополучие; когнитивный подход; качество жизни; пожилые люди
Issue Date: 2017
Publisher: Future Academy
Citation: Kaz M. S. Well-being in the Workplace: the Case of Working Pensioners / M. S. Kaz, A. Kuchkartaeva // The European Proceedings of Social & Behavioural Sciences (EpSBS). — 2017. — Vol. 19 : Lifelong Wellbeing in the World (WELLSO 2016) : III International Scientific Symposium, 11-16 September 2016, Tomsk, Russian Federation : [proceedings]. — [P. 298-305].
Abstract: 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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