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DOI: 10.14569/IJACSA.2024.0150903
PDF

STAR, a Universal, Repeatable, Strategic Model of Corporate Innovation for Industry Domination

Author 1: Ronald Berman
Author 2: Nicholas Markette
Author 3: Robert Vera
Author 4: Tim Gehle

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 9, 2024.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Within an existing organization, internal expertise, staffing, compensation, information systems, and market focus may complicate the introduction of new ideas while culture and aversion to risk may completely derail the organizations’ ability to innovate. The STAR model for corporate innovation provides a theoretical model on how to develop and execute innovative practices to overcome these obstacles and achieve significant market penetration and value. The model is a theoretical framework that empowers organizations of all sizes to construct the necessary structures and advocacy needed to create products, services, and internal processes that enable them to dominate the industry in which they participate. The model also provides the mechanism to support the identification, acceptance, and rapid deployment of relevant new technologies that offer an opportunity to create an unfair advantage, something that is very hard to replicate.

Keywords: Corporate entrepreneurship; innovation model; market dominance; competitive advantage

Ronald Berman, Nicholas Markette, Robert Vera and Tim Gehle, “STAR, a Universal, Repeatable, Strategic Model of Corporate Innovation for Industry Domination” International Journal of Advanced Computer Science and Applications(IJACSA), 15(9), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150903

@article{Berman2024,
title = {STAR, a Universal, Repeatable, Strategic Model of Corporate Innovation for Industry Domination},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150903},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150903},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {9},
author = {Ronald Berman and Nicholas Markette and Robert Vera and Tim Gehle}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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