Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article
Data sources: ZENODO
addClaim

ANALYSIS OF THE EFFECTIVENESS OF NO-CODE SOLUTION ADOPTION IN CORPORATE INFRASTRUCTURE

Authors: Hrebeniuk O.;

ANALYSIS OF THE EFFECTIVENESS OF NO-CODE SOLUTION ADOPTION IN CORPORATE INFRASTRUCTURE

Abstract

The article examines the technological and economic aspects of adopting no-code solutions within corporate IT infrastructure. The study is based on an analysis of the performance, resilience, and integration capabilities of no-code platforms, as well as their impact on cost structures and return on investment. Quantitative assessments of adoption effects are presented using reports and empirical data demonstrating reductions in development time, lower maintenance costs, and accelerated digital transformation. The paper also explores organizational implications of no-code adoption, including the redistribution of roles between IT and business users, the growing importance of hybrid competencies, and the emergence of citizen development practices. The study concludes by substantiating the need for a comprehensive effectiveness assessment model that integrates technological metrics, economic indicators, and the specific context of corporate deployment.

Powered by OpenAIRE graph
Found an issue? Give us feedback