The article reviews the theory and methodology and searches for relevant tools for modeling stakeholder contribution and benefits. The methodological framework comprises the stakeholder approach, the concept of sustainable growth and shared values. The study presents two econometric models of stakeholder value contribution and a mathematical model of stakeholder benefits. The models are built on panel data of several Russian banks. The authors look upon banks as constituents of the financial infrastructure essential for the existence of integrated business structures. Our findings show that the most appropriate proxy indicator for modeling monetary stakeholder value is sales revenue. We conclude that, for practical use, it is necessary to explore the relationships between different models and possible ways of their integration and develop a methodology for their evaluation and comparison. Further research should be related to the choice of factors affecting the model, the validity of the choice, the analysis of the regression model in order to infer the stakeholder contribution. To achieve technological breakthroughs, it is important to study value assessment procedures for stakeholders in the conditions of innovative and technological transformation of new forms of business organization, including network-based models, smart industries and ecosystems.

Despite very extensive research on the issues of the stakeholder approach, so far there is no general understanding of the risks borne by company’s stakeholders and no applied tools developed to address specific problems of recognising and analysing them. The paper aims to study stakeholder risks, evaluate them, model stakeholder risk networks, develop tools for determining the loyalty (satisfaction) of stakeholders, and establish risk priorities for stakeholders. The research methodology rests on the stakeholder approach, corporate governance theory and graph theory. The paper applies comparative and content analysis, methods of modeling, prioritisation and visualisation of graphs. Based on Rebecca Yang’s method modified by the authors, the study models stakeholder risk networks. Due to the modification, the method is able to take into account the factor of balance of stakeholders’ interests. The method is tested on a business project of a particular company. The research results include specifying the mutual influence of risks in the network, determining key categories of risks and the most influential stakeholders, rating risks using analysis metrics and graphs, and developing a scheme for implementing the proposed tools in the management system. The theoretical and practical significance of the study lies in introducing the factor of balance (imbalance) of interests in modelling of stakeholder risk networks, as well as in providing recommendations on the use of these tools for sustainable development.