Year: 2025
Type: article
Abstract: In this study the authors propose an algorithm for identifying candidates to form the initial project team, such as founders, co-founders, and key participants of any project, organization, or startup. The proposed algorithm is presented using the IDEF0 methodology, which allows for the graphical representation of logical connections through diagrams that in-clude flowcharts utilizing specialized elements, namely: inputs, mecha-nisms, controls, outputs, blocks, and functions. The primary benefit of the developed algorithm is its clarity and compactness. Additionally, it is modifiable and convertible into different logical methodologies, programs, or mathematical code for further application. For instance, it can be uti-lized in the creation of specialized software, the implementation of artifi-cial intelligence algorithms, and the auditing of structures in various or-ganizations. The novelty of the research lies in the absence of similar works in the field using the IDEF0 methodology, as well as in the applica-tion of non-standard elements that have not been previously considered or have been used infrequently in more conservative methods of recruiting or personnel selection. The results of the study can be utilized for newly forming teams aiming to create new products, launch startups, conduct research, and generally for any projects that anticipate the establishment of some organizational system in the future.
Institution: Peoples' Friendship University of Russia
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4415518534