Investigation of the candidate's metaprogram profile for confidential cooperation in the ORD
DOI:
https://doi.org/10.25726/o4261-5620-9261-kKeywords:
metaprograms, confidential cooperation, object of operational interest, achievement of psychological contact, mechanism of obtaining the first impressionAbstract
The article discusses the mechanism of obtaining a first impression. To correctly draw up a psychological portrait of an object of operational interest, it is necessary to understand the algorithms of internal cognitive processes that distort the perception of an object. Having abandoned the stereotypical template mechanisms of perception, the quality of the information received about the studied object improves. The first stage of obtaining information and drawing up a psychological portrait is preparatory, for a deeper study of the personality structure. The second stage is the compilation of a metaprogram profile, as one of the ways to psychologically study a candidate for confidential cooperation. The activities of a confidential employee have their own specific features, an operational employee, a disclosure
References
Зуйкова А.А., Шалюгина Е.С. Оперативно-розыскная психология: курс лекций. Н. Новгород: Нижегородская академия МВД России, 2019. 124 с.
Зуйкова А.А., Шалюгина Е.С. Использование метапрограмм в деятельности сотрудников подразделений системы МВД России. Н. Новгород: Нижегородская академия МВД России, 2022. 53 с.
Филатов А. Психодиагностика. Как разбираться в людях и прогнозировать их поведение. М.: АСТ, 2019. 416 с.
Jin, Weidong et al. 2024. “A Personalized Bidirectional Feedback Mechanism by Combining Cooperation and Trust to Improve Group Consensus in Social Network.” Computers & Industrial Engineering 188: 109888. https://www.sciencedirect.com/science/article/pii/S0360835224000093.
Liu, Jiajun, Pingyu Jiang, and Jie Zhang. 2024. “A Blockchain-Enabled and Event-Driven Tracking Framework for SMEs to Improve Cooperation Transparency in Manufacturing Supply Chain.” Computers & Industrial Engineering 191: 110150.
Liu, Weiwei et al. 2023. “Decomposing Shared Networks for Separate Cooperation with Multi-Agent Reinforcement Learning.” Information Sciences 641: 119085.
Nijssen, Edwin J, and Andrea Ordanini. 2020. “How Important Is Alignment of Social Media Use and R&D–Marketing Cooperation for Innovation Success?” Journal of Business Research 116: 1–12.
Xi, Ning, Jin Liu, Yajie Li, and Bojun Qin. 2023. “Decentralized Access Control for Secure Microservices Cooperation with Blockchain.” ISA Transactions 141: 44–51.