A SYSTEM OF INDICATORS FOR SELECTING INNOVATION TRIGGERS TO DRIVE SUSTAINABLE DEVELOPMENT

The foundation of sustainable development lies in innovation, technology, and entrepreneurship, which have significant positive impacts on socio-economic aspects of life. This study examines the indicators necessary for selecting innovation triggers that can lead country’s sustainable development. Innovation trigger system is mechanism that initiates and drives the development of new technologies and processes, essential for sustainable development by facilitating the transition to more sustainable practices. However, not all innovation triggers succeed or offer long-term benefits for sustainable development. This study aims to identify the indicators necessary to select effective innovation trigger for sustainable country development. It has been described hype cycle phases of main technologies in the 21-st century, and defines that there is no one duration of hype cycle phases for AI, IoT, AR and VR, blockchain technologies. It has been proposed the innovation trigger system indicators to select beneficial innovation trigger that divided into two groups, set of lagging indicators and set of leading indicators. Lagging indicators assess the effectiveness of past strategies and investments, while leading indicators provide insights into future performance and potential outcomes. By utilizing both types of indicators, a more balanced and comprehensive analysis can be achieved when selecting the most beneficial innovation trigger for a country’s development. The final choice of innovation trigger in each country will ultimately depend on its prioritized development goals. Additionally, it has been applied and modified the Bass Model to forecast the diffusion of AI among industrial enterprises in Ukraine. The basic Bass model has been extended to include a developer influence coefficient, which accounts for the role of AI developers in technology diffusion. Understanding the processes of diffusion and the effectiveness of innovation triggers, as well as the phases of the hype cycle, provides guidance for policymakers, business structures, and enterprises in technology implementation and the use of innovation for development, which determines the sustainability of national economic progress.

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Journal
Сталий розвиток економіки
Published
2024-11-19
DOI
https://doi.org/10.32782/2308-1988/2024-51-5
Primary Topic
Innovation Diffusion and Forecasting
Type
article
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article

A SYSTEM OF INDICATORS FOR SELECTING INNOVATION TRIGGERS TO DRIVE SUSTAINABLE DEVELOPMENT

Олександра Карінцева, Світлана Тарасенко, Wojciech Duranowski, Артем Біловол et al.
Сталий розвиток економіки
Innovation Diffusion and Forecasting
article

A SYSTEM OF INDICATORS FOR SELECTING INNOVATION TRIGGERS TO DRIVE SUSTAINABLE DEVELOPMENT

Олександра Карінцева, Світлана Тарасенко, Wojciech Duranowski, Артем Біловол, Збігнєв Дабровскі
article en

Abstract

The foundation of sustainable development lies in innovation, technology, and entrepreneurship, which have significant positive impacts on socio-economic aspects of life. This study examines the indicators necessary for selecting innovation triggers that can lead country’s sustainable development. Innovation trigger system is mechanism that initiates and drives the development of new technologies and processes, essential for sustainable development by facilitating the transition to more sustainable practices. However, not all innovation triggers succeed or offer long-term benefits for sustainable development. This study aims to identify the indicators necessary to select effective innovation trigger for sustainable country development. It has been described hype cycle phases of main technologies in the 21-st century, and defines that there is no one duration of hype cycle phases for AI, IoT, AR and VR, blockchain technologies. It has been proposed the innovation trigger system indicators to select beneficial innovation trigger that divided into two groups, set of lagging indicators and set of leading indicators. Lagging indicators assess the effectiveness of past strategies and investments, while leading indicators provide insights into future performance and potential outcomes. By utilizing both types of indicators, a more balanced and comprehensive analysis can be achieved when selecting the most beneficial innovation trigger for a country’s development. The final choice of innovation trigger in each country will ultimately depend on its prioritized development goals. Additionally, it has been applied and modified the Bass Model to forecast the diffusion of AI among industrial enterprises in Ukraine. The basic Bass model has been extended to include a developer influence coefficient, which accounts for the role of AI developers in technology diffusion. Understanding the processes of diffusion and the effectiveness of innovation triggers, as well as the phases of the hype cycle, provides guidance for policymakers, business structures, and enterprises in technology implementation and the use of innovation for development, which determines the sustainability of national economic progress.

Сталий розвиток економіки(4(51))
University of Opole (PL), Sumy State University (UA)
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Innovation Diffusion and Forecasting
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