Title | A Schematic Model for Implementing Industries High Risk Projects through the Agent of Human Capital |
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ID_Doc | 74841 |
Authors | Soloveva, I; Mostovshchikova, I; Baeva, D; Alola, A |
Title | A Schematic Model for Implementing Industries High Risk Projects through the Agent of Human Capital |
Year | 2022 |
Published | Sustainability, 14, 18 |
Abstract | Given the global drive for more sustainable industrial practices, the goal of this paper is to develop and test an algorithm to diagnose the readiness of industrial enterprises to implement team management in innovation projects. Our model was tested at a large industrial enterprise in the food industry. To study the peculiar features of the perception of a company image by different functional groups of participants (within the framework of the proposed structural model of the image), we used the in-depth interview method. The study involved a total of 60 people making up three groups of company employees (managers, brand sellers, workers). The data were complemented by a documentary analysis. Because of the chosen research approach, the research results may lack generalizability, thus researchers are encouraged to test the proposed propositions further. The results reveal significant discrepancies in the company image formed among different groups of current and potential employees. An analysis showed that the enterprise under study is not ready for the implementation of team management, and additional training is required. The proposed approach will allow us to identify the factors that somewhat (inwardly) impede the implementation of investments at the enterprise and restrain its sustainable innovation and development. The scientific and business significance of the developed correctional and diagnostic model lies in its ability to assess the level of consistency in the perception of the goals and development prospects of the company. As such, the potential participants in project teams are identified, and, through the implementation of corrective measures, we create a basis for the formation of effective teams. |
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