Эффективное развитие филиальной сети коммерческого банка
Formal Concept Analysis (FCA) is a mathematical technique that has been extensively applied to Boolean data in knowledge discovery, information retrieval, web mining, etc. applications. During the past years, the research on extending FCA theory to cope with imprecise and incomplete information made significant progress. In this paper, we give a systematic overview of the more than 120 papers published between 2003 and 2011 on FCA with fuzzy attributes and rough FCA. We applied traditional FCA as a text-mining instrument to 1072 papers mentioning FCA in the abstract. These papers were formatted in pdf files and using a thesaurus with terms referring to research topics, we transformed them into concept lattices. These lattices were used to analyze and explore the most prominent research topics within the FCA with fuzzy attributes and rough FCA research communities. FCA turned out to be an ideal metatechnique for representing large volumes of unstructured texts.
The article is concerned with the discussion on creating clients trust in ordinary savings operations with Russian banks. The structure of trust supposed by P. Sztompka is considered within the frames of Russian financial system, its history and specific character. Major attention is paid to the analysis of banks trustworthiness assessed by clients on the basis of their experience and calculations as well as to the role that secondary objects of trust play in the creation of trust expectations towards the financial institution. The necessity of distinguishing between trust expectations and trusting behavior (i.e. depositing) is underlined as it is supposed that real trust towards banks appears only when clients implement their expectations in practice.
This chapter presents a review of the current literature on theoretical and empirical studies of flow experience (or optimal experience) within Internet-mediated environments. The concept of flow as introduced by Csikszentmihalyi is described, the parameters characterizing optimal forms of experience are discussed, as well as data collection methods which are most often used to measure flow. The particular Internetmediated environments connected with the studies of optimal experience and thoroughly reviewed in the chapter include online (1) shopping, (2) learning, (3) game playing, and (4) interaction. A brief overview of the projects in the field, initiated and performed by the author and his colleagues, is also presented.