| Approaches to the differentiation of TSES |
Methods |
Sphere of application |
Advantages |
Disadvantages |
| Heuristic |
- individual expertise: an interview,analytical notes,scripting- group expertise: the brainstorming method, the “commitees and round table” method, the Delphi method, the Target Tree method, the matrix method, the heuristic image prediction method. |
- study of the phenomenon (process) that is not subject to formalization;- study of the individual characteristics of socio-economic phenomena and processes;- study of semi-structured socio-economic and organizational management systems. |
- allows reflecting the dependence of internal and external factors of the system;- provides an opportunity to get “average” expert opinions on the problem through independent judgments. Thus, the researchers receive not a quantitative distribution of the probability of solving the problems studied, but a qualitative statistical expression of individual expert assessments. |
- evaluation criteria cannot be formulated quite clearly;- the presence of risks associated with possible incompetence or subjectivity of the expert, the wrong choice of measuring scale;- the need for verification of expert assessments forconsistency and lack of inconsistency,- the presence of difficulties in the organization of the process of experts’ communication;- for the most part, expert assessments are subjective and insufficiently perfect in terms of the reliability of the results obtained |
| Formalized (mathematical) approach |
- economic: structural, network, imitation;- statistical: factor analysis, cluster analysis, correlation and regression analysis;- economic and mathematical based on models: deterministic, linear-dynamic, nonlinear, stochastic, using the theory of catastrophes and neural networks. |
- study of the phenomenon (process) that requires a rigorous substantiation of the mathematical model;- characteristics of individual, as well as aggregated and integral indicators of socio-economic phenomena and processes;- the study of clearly structured socio-economic and organizational management systems. |
- assume activities for the collection, distribution and grouping of significant arrays of data on various processes and phenomena of social life;- the resulting mathematical models are considered as a universal apparatus for decision-making at various levels of management, which is important in the quality management system.- assume the construction of “self-correcting” economic-mathematical models capable of reacting to changes in the socio-economic conditions of the development of the territory. |
- the need to calculate descriptive characteristics at the initial stage of modeling;- difficulties in using the mathematical apparatus;- difficulty in competent interpretation of the results. |
