The biotechnology industry is currently one of the most dynamically developing sectors of the pharmaceutical industry, that is why it requires improvement in the personnel management system aimed at increasing the flexibility and adaptability of the organization.The aim of the research is to determine the degree of readiness of the organization’s employees for innovations as illustrated by the example of an export-oriented enterprise.Materials and methods. The source information was collected from the employees of the biotechnological enterprise through a questionnaire survey. The representative sample included 588 respondents. The statistical processing of data was carried out using the specialized software IBM SPSS STATISTICS (IBM, USA, 2017). The consistent readiness of the organization’s employees for innovations was determined using I.O. Zagashev’s methods. To assess the reliability of the psychological test, an internal consistency model with Cronbach’s alpha was applied. Statistical hypotheses were tested by comparing the central tendencies of two independent samples using Student’s t-test and the Mann–Whitney nonparametric test.Results. The distribution results of key motivating factors for personnel showed that motivating factors such as an adequate salary and sustainable employment took the leading positions. However, the assessment of the employees’ consistent readiness for innovations according to I.O. Zagashev’s methods shows a high degree of the personnel’s readiness for changes due to positive emotional perception of any innovations.Conclusion. The results obtained make it possible to arrive at the conclusion that the established team favorably responds to all innovations, and is ready to support them in the future being aware of the organization’s desire for innovations. In the future, the results will be used to determine the required management functions and goals and to develop the personnel management strategy in the context of the knowledge transfer, technology and export policy of the pharmaceutical enterprise.

Introduction. Arboviral infections are a rising public health concern not only for some individual countries, but also for the entire world due to the repeated outbreaks over the past decade.The aim was to conduct a seroprevalence study of Dengue (DENV), Zika (ZIKV), Yellow fever (YFV) and Chikungunya (CHIKV) viruses using a limited number of samples in Nicaragua.Materials and methods. Total 200 serum samples collected previously in Nicaragua were analyzed simultaneously. Commercially available diagnostic kits, as well as in-house methods were used. The avidity of antibodies (IgG) in positive serum samples was assessed after the treatment with 8M urea.Results. 85 serum samples (42.5%) contained IgG antibodies to one or several viruses simultaneously. IgG antibodies only to one virus were detected in 46 serum samples (23%) with the avidity index (AI) ≥ 30%. Among 39 samples (19.5%) that contained IgG antibodies to several viruses, only in 19 samples (9.5%) IgG antibodies with high AI (≥ 30%) to several viruses were detected. In 16 serum samples (8.0%), IgG antibodies to DENV with a high AI and antibodies to ZIKV and/or YFV with a low AI < 30% were detected.Discussion. The results obtained in ELISA testing were corrected, since only IgG antibodies with a high AI confirm the past infection. The analysis of the specific IgG antibody avidity helped not only to confirm the cases of combined or sequential infection in the past, but also to discriminate the cross-reactive IgG antibodies induced by closely related DENV, ZIKV and YFV. The presence of cross-reactive IgG antibodies, on the one hand, make it difficult to determine the real seroprevalence of flavivirus infections, and, on the other hand, may increase the risk of antibody-dependent enhancement (ADE) of the disease, which is well-known for the secondary Dengue fever and for the consecutive infection with DENV and ZIKV.Conclusion. The analysis of virus-specific antibody avidity made it possible not only to distinguish recent from the past infection, but also to discriminate the cross-reactive antibodies with the low avidity.