Project Approach Technologies in Optimizing the Financial Resources of an Innovative Enterprise Using Big Data Tools in the Context of Sustainable Development

This article provides a comprehensive study of the role of project approach technologies in an innovative enterprise (a socioeconomic system) amid digitalization, considering the capabilities and tools of information-analytical technologies such as Big Data. The theoretical and methodological foundations of the project approach as an integrated system of strategic and operational management are revealed, ensuring the combination of long-term vision, resource optimization, and digital transformation of core business processes. It has been shown that the implementation of Big Data in management practice allows for increased forecasting accuracy, identification of hidden patterns in market dynamics, formation of scenario models for development, as well as reducing the risks of exceeding costs and deviations from planned timelines for the implementation of innovative and investment projects. Particular attention is given to the role of information and analytical systems in supporting the management of capital investments and increasing the efficiency of investment activities of enterprises amid globalization and high technological turbulence. It is substantiated that under the strengthening of global competition and the acceleration of technological changes, the importance of ensuring sustainable development in line with the UN Sustainable Development Goals increases, which entails the integration of economic, environmental, and social priorities into the strategic framework of management decisions. It is defined that the combination of the project approach with Big Data technologies creates the necessary conditions for forming an efficient innovation ecosystem, within which business, science, government institutions, and financial organizations synergistically interact. The potential of public-private partnership as an institutional mechanism for scaling innovative solutions has been revealed, along with the significance of sustainable financing instruments (green bonds, targeted innovation funds, investment platforms) that facilitate attracting resources under terms aligned with ESG principles. Emphasis is placed on financial incentives as a factor in enhancing the investment attractiveness of enterprises and developing integrated business models in a digital environment. A conceptual model of interaction between the elements of the project approach and Big Data is proposed, aimed at rationalizing resource use, increasing competitiveness, accelerating innovation cycles, and achieving the strategic objectives of enterprises in the context of continuous transformations of the socioeconomic environment.

Authors

Publication Details

Journal
Business Inform
Published
2025-01-01
DOI
https://doi.org/10.32983/2222-4459-2025-7-203-209
Primary Topic
Economic and Technological Systems Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Project Approach Technologies in Optimizing the Financial Resources of an Innovative Enterprise Using Big Data Tools in the Context of Sustainable Development

Olena Arefieva
Business Inform
Economic and Technological Systems Analysis
article

Project Approach Technologies in Optimizing the Financial Resources of an Innovative Enterprise Using Big Data Tools in the Context of Sustainable Development

Olena Arefieva
article en

Abstract

This article provides a comprehensive study of the role of project approach technologies in an innovative enterprise (a socioeconomic system) amid digitalization, considering the capabilities and tools of information-analytical technologies such as Big Data. The theoretical and methodological foundations of the project approach as an integrated system of strategic and operational management are revealed, ensuring the combination of long-term vision, resource optimization, and digital transformation of core business processes. It has been shown that the implementation of Big Data in management practice allows for increased forecasting accuracy, identification of hidden patterns in market dynamics, formation of scenario models for development, as well as reducing the risks of exceeding costs and deviations from planned timelines for the implementation of innovative and investment projects. Particular attention is given to the role of information and analytical systems in supporting the management of capital investments and increasing the efficiency of investment activities of enterprises amid globalization and high technological turbulence. It is substantiated that under the strengthening of global competition and the acceleration of technological changes, the importance of ensuring sustainable development in line with the UN Sustainable Development Goals increases, which entails the integration of economic, environmental, and social priorities into the strategic framework of management decisions. It is defined that the combination of the project approach with Big Data technologies creates the necessary conditions for forming an efficient innovation ecosystem, within which business, science, government institutions, and financial organizations synergistically interact. The potential of public-private partnership as an institutional mechanism for scaling innovative solutions has been revealed, along with the significance of sustainable financing instruments (green bonds, targeted innovation funds, investment platforms) that facilitate attracting resources under terms aligned with ESG principles. Emphasis is placed on financial incentives as a factor in enhancing the investment attractiveness of enterprises and developing integrated business models in a digital environment. A conceptual model of interaction between the elements of the project approach and Big Data is proposed, aimed at rationalizing resource use, increasing competitiveness, accelerating innovation cycles, and achieving the strategic objectives of enterprises in the context of continuous transformations of the socioeconomic environment.

Business InformVol. 7(569)
Openalex Percentile: Top 63%
Economic and Technological Systems Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.