Document Type : SPECIAL ISSUE


1 Department of Statistics, Accounting and Economic Informatics, Oles Gonchar Dnipro National University, Dnipro, Ukraine

2 Department of Banking, Oles Gonchar Dnipro National University, Dnipro, Ukraine


The local community is a complex socio-economic system, and its ability to function for an indefinitely long period of time (viability) is not investigated sufficiently today. The purpose of the research was, using the cognitive mapping, propose to the local community management developing their own management strategies to ensure its viability. Considering the weakly structured subject area of resource management for the viability of the local community and the complex dynamic nature of socio-economic processes, fuzzy cognitive reflection was suggested as a tool that provides opportunities for modeling the inherent complexity and uncertainty associated with socio-economic systems. This research shows a system of relations between concepts in the form of a causative network – a cognitive map of the resource management of a local community and proposes scales for measuring the concepts. During the simulation experiments, managed, indirectly managed and unmanaged resources for the viability of a local community were defined. In modeling, own income per inhabitant has been chosen as the target concept and as an indicator of the potential of an independent choice of direction for the development of the local community with the view toward the construction of resource management scenarios for the local community's viability. As a result of the simulation, there were proposed some strategies for the growth of ‘own income per inhabitant’ and some recommendations were given for building management scenarios within these strategies.


Axelrod, R., (1976). The structure of decision: Cognitive maps of political elites. Princeton Legacy Library,   NJ.

Abramova, N.A.; Kovriga, S.V., (2009). From research on the decision-making in ill-structured situation control and the problem of risks. Human Computer Sys. Intera. AISC, 60: 3-15 (13 pages).

Aksorn, P.; Charoenngam, C., (2015). Sustainability factors affecting local infrastructure project: The case of water resource, water supply, and local market projects in Thai communities. Facilities, 33(1-2): 119-143 (25 pages).

Alexandru, D., (2017). The role of local communities in the construction of the European territory: Evidence from Romania. Lex Localis: J. Local Self-Government, 15(3): 605-624 (20 pages).

Bessa, A., (2015). Traditional local communities: What lessons can be learnt at the international level from the experiences of Brazil and Scotland. Rev. Europ. Comp. Int. Environ. Law, 24(3): 330-340 (11 pages).

Caldas, P.; Dollery, B.; Marques, R.C., (2016). What really matters concerning local government evaluation: Community sustainability? Lex Localis-J. Local Self-Gov., 14(3): 279-302 (24 pages).

Di Maddaloni, F.; Davis, K., (2018). Project manager's perception of the local communities' stakeholder in megaprojects. An empirical investigation in the UK. Int. J. Proj. Manage., 36(3): 542-565 (24 pages).

Gray, S.A.; Gray, S.; De Kok, J.L.; Helfgott, A.E.R.; O'Dwyer, B.; Jordan, R.; Nyaki, A., (2015). Using fuzzy cognitive mapping as a participatory approach to analyze change, preferred states, and perceived resilience of social-ecological systems. Ecol. Soc., 20(2): 11.

Heinze, K.L.; Soderstrom, S.; Heinze, J.E., (2016). Translating institutional change to local communities: The role of linking organizations. Organiz. Stud., 37(8): 1141-1169 (29 pages).

Ismikhanov, Z.N.; Omarova, N.O.; Aripova, P.G.; Umargadzhieva, N.M.; Magomedov, M.S., (2017) Structuring knowledge and developing a cognitive map for scenario forecasting of the situation development in the region. E-SdPTCONICIT – Espacios, 38(33) (16 pages)

Kosko, B., (1986). Fuzzy cognitive maps. Int. J. Man-Machine Stud., 24(1): 65-75 (11 pages).

Kardaras, D.; Karakostas, B., (1999). The use of fuzzy cognitive maps to simulate the information systems strategic planning process. Inf. Software Technol., 41: 197-210 (14 pages).

Kim, B.J.; Kavanaugh, А.L.; Hult, K.M., (2011). Civic engagement and internet use in local governance: hierarchical linear models for understanding the role of local community groups. Admin. Soc., 43(7): 807-835 (29 pages).

Kulinich, A.A., (2014). Software systems for situation analysis and decision support on the basis of cognitive maps: Approaches and methods. Autom. Remote Control, 75(7): 1337-1355 (19 pages)

Kogut-Jaworska, M., (2017). Financial tools of the tax policy in local communities and their consequences for the budget. Probl. Zar. Manag. Is., 15(2): 214-229 (16 pages).

Lutsenko, E.V.; Troshin, L.P.; Zviagin, A.S.; Milovanov, A.V., (2018). Application of the automated system-cognitive analysis for solving problems of genetics. JMERD, 41(2): 01-08 (8 pages).

Michelucci, F.V.; De Marco, A., (2017). Smart communities inside local governments: a pie in the sky? Int. J. Pub. Sector Manage., 30(1): 2-14 (12 pages).

Mckenna, R.; Bertsch, V.; Mainzer, K.; Fichtner W., (2018). Combining local preferences with multi-criteria decision analysis and linear optimization to develop feasible energy concepts in small communities. Eur. J. Oper. Res., 268(3): 1092-1110 (19 pages).

Napoli, P.M.; Stonbely, S.; McCollough, K.; Rennenger B., (2017). Local journalism and the information needs of local communities. Toward a scalable assessment approach. Journalism Pract., 11(4): 373-395 (23 pages).

Podvesovskii, A.G.; Isaev, R.A., (2018). Visualization metaphors for fuzzy cognitive maps. Sci. Visualiz., 10(4): 13-29 (17 pages)

Popescu, D.; Nicolae, V.; State, C., (2017). Empirical study on identifying collaborative practices in local communities. Econ. Comput. Econ. Cybern. Stud. Res., 51(4): 73-90 (18 pages).

Pronko, L.; Kolesnik, T.; Samborska, O., (2018). Activities of united territorial communities as a body of local government in the conditions of power decentralization in Ukraine. Balt. J. Econ. Stud., 4(2): 184-190 (7 pages). 

Letters to Editor

GJESM Journal welcomes letters to the editor for the post-publication discussions and corrections which allows debate post publication on its site, through the Letters to Editor. Letters pertaining to manuscript published in GJESM should be sent to the editorial office of GJESM within three months of either online publication or before printed publication, except for critiques of original research. Following points are to be considering before sending the letters (comments) to the editor.

[1] Letters that include statements of statistics, facts, research, or theories should include appropriate references, although more than three are discouraged.
[2] Letters that are personal attacks on an author rather than thoughtful criticism of the author’s ideas will not be considered for publication.
[3] Letters can be no more than 300 words in length.
[4] Letter writers should include a statement at the beginning of the letter stating that it is being submitted either for publication or not.
[5] Anonymous letters will not be considered.
[6] Letter writers must include their city and state of residence or work.
[7] Letters will be edited for clarity and length.