Approaches to Measuring Innovation in the Economy

Loktionova, Yu.N.; Yanina, Olga

doi:10.17922/2071-3665-2019-18-1-32-41

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, practice shows that these sources are insufficient, and the activity of investment and innovation activity remains low (Loktionova, 2017). This is partly due to the lack of a clear methodology for determining the investment attractiveness of projects related to artificial intelligence and the perception of these projects as a potential bubble (similar to the Dot-Com Bubble) (de Mello & de Souza, 2019; Loktionova & Yanina, 2019). At the planning stage of a new project, investors are interested in the amount of resources needed for implementation and the potential profitability of the project.…”

Section: Introductionmentioning

confidence: 99%

Problem of Assessing the Investment Attractiveness of Risk Projects for Developing Artificial Intelligence

2019

IJRTE

View full text Add to dashboard Cite

The article discusses the problem of assessing the investment attractiveness of risk projects for developing artificial intelligence, the methods of such assessment and their features. It is shown that due to the lack of relevant statistical, financial, operational information, the models and methods of investment valuation are, for the most part, subjective. The use of only one model or method of assessing investment attractiveness in the field of the development of artificial intelligence projects is insufficient, while the complex use without taking into account systemic aspects is likewise not sufficiently substantiated. To solve the existing problem, it is proposed to comprehensively use the available capabilities of the method of functional cost analysis (FSA), the essence of which is that the development project is decomposed into separate functions, and the necessary resources are measured and fixed for each function. Analysis of the functions of the object and the costs of the implementation of the functions makes it possible to identify the most acceptable variant of the object from the position of its functional content. At the same time, the article considers the possibility of using the functional-cost analysis method in the evaluation, the essence of which is that the development project is decomposed into separate functions, and for each function, all necessary resources are measured and fixed. An analysis of the object’s functions and their costs will help to identify the most economical version of a risky investment project from its functional content. It is reasonably noted that the main resources to support and promote the development of innovative projects are venture companies that invest considerable funds both at the initial stages and at the stages of development and expansion of projects. The amount of financial resources coming from business angels, crowdfunding and business accelerators is much smaller and goes mainly to the initial stages of project implementation.

show abstract

Section: Introductionmentioning

confidence: 99%

Problem of Assessing the Investment Attractiveness of Risk Projects for Developing Artificial Intelligence

2019

IJRTE

View full text Add to dashboard Cite

show abstract

Approaches to Measuring Innovation in the Economy

Cited by 1 publication

References 0 publications

Problem of Assessing the Investment Attractiveness of Risk Projects for Developing Artificial Intelligence

Problem of Assessing the Investment Attractiveness of Risk Projects for Developing Artificial Intelligence

Contact Info

Product

Resources

About