Accounting methodological features in conditions of uncertainty of the influence of psychosocial risk factors on the decline in agricultural labor productivity

The article is devoted to the definition of a possible methodological approach to assessing the impact of psychosocial risk factors on the decline in labor productivity under conditions of uncertainty (unlikely scenarios). It is shown that there is a need to introduce mechanisms for analyzing the economic consequences of the implementation of occupational risk, which allow to solve the problem of unlikely scenarios, primarily related to the human factor and not intentional errors due to overwork or age-related changes in the cognitive abilities of the employee, such as attention, memory, and reaction speed, and simulate the associated uncertainty in assessing the prospects for economic losses. In the case of assessing the economic consequences of the implementation of occupational risk, the methodology of the Grey System Theory and the theory of the Black Swan Theory can be applied. For research purposes to assess economic losses from unfavorable working conditions and to analyze the socio-economic consequences of labor inefficiency under conditions of uncertainty, regression equations are proposed. Using this approach to the economic assessment of potential damage and the economic effectiveness of the proposed measures for labor protection and safety, it is possible to convincingly justify the expediency of spending on improving working conditions and increasing its productivity, as well as to protect the quality of occupational safety to the company owners.

methodology, labor productivity, agriculture, occupational risks, psychosocial factors