American Impact ReviewA Peer-Reviewed Multidisciplinary Journal
Journal
JournalGetting StartedSubmission GuidelinesWhat We PublishWhy Publish With UsSubmit a Manuscript
About
AboutAbout the JournalEditorial BoardPeer ReviewersIndexing & RecognitionAuthor GuidelinesFor ResearchersFor ReviewersEthics & PoliciesContact
Explore
ExploreBrowse ArticlesSubmit a Manuscript
Log inSign up
Browse ArticlesSubmit a Manuscript
JournalGetting StartedSubmission GuidelinesWhat We PublishWhy Publish With Us
AboutAbout the JournalEditorial BoardPeer ReviewersIndexing & RecognitionAuthor GuidelinesFor ResearchersFor ReviewersEthics & PoliciesContact
AccountLog inSign up
American Impact Review
Peer-reviewed, open-access
multidisciplinary journal
Published by Global Talent Foundation
a 501(c)(3) nonprofit
Stay updated
Navigate
AboutFor AuthorsFor ResearchersFor ReviewersPoliciesArchive
Legal & Contact
Privacy PolicyTerms of UsePublication EthicsContact Us
Indexed in:Crossref·Google Scholar·OpenAlex·Wikidata·Scilit
CC BY 4.0 · Open Access
ISSN 3071-124X · EIN: 33-2266959 · Verify on IRS.gov© 2026 American Impact Review
BusinessTheoretical ArticlePublished 2/24/2026 · 182 views42 downloadsDOI 10.66308/air.e2026061

Incremental Digital Transformation of U.S. SMEs: A Low-Disruption Implementation Model Without Radical Business Process Reengineering

Pavel A. GorbovskiySanPlitTorg LLC, Sochi, Krasnodar Krai, Russian Federation
Received 2/3/2026Accepted 2/20/2026
digital transformationSMEsU.S. small businessbusiness process managementincremental changedynamic capabilitiescybersecurityartificial intelligence
Download PDFRgResearchGateSemantic ScholarScilit
Cover: Incremental Digital Transformation of U.S. SMEs: A Low-Disruption Implementation Model Without Radical Business Process Reengineering

Abstract

This article addresses the managerial problem of digital transformation in U.S. small and medium-sized enterprises (SMEs) when radical redesign of business processes is often infeasible because of financial, workforce, and organizational constraints. It develops and substantiates a practical low-disruption model of SME digital transformation that does not rely on radical business process reengineering. The study is designed as an analytical review with design science logic and secondary profiling of open evidence from the U.S. Census Bureau, NCSES, SBA, NIST, and OECD. The empirical context draws on the Annual Business Survey, Statistics of U.S. Businesses, the Business Trends and Outlook Survey, and the SBA Small Business Profile. The article proposes the LITE-DT SME model, which comprises six stages: Baseline, Stabilize, Modularize, Integrate, Selective Intelligence, and Scale. The model suggests that SME transformation should usually begin not with AI, ERP replacement, or robotics, but with process baselining, data stabilization, basic cybersecurity, modular SaaS adoption, and gradual integration. The contribution lies in distinguishing digitalization, digital transformation, and radical business process reengineering in the SME context and in introducing low-disruption digital transformation as a managerial construct. The study is limited by the absence of firm-level panel data and does not claim a causal performance effect.

Keywords: digital transformation, SMEs, U.S. small business, business process management, incremental change, dynamic capabilities, cybersecurity, artificial intelligence

Cite asPavel A. Gorbovskiy (2026). Incremental Digital Transformation of U.S. SMEs: A Low-Disruption Implementation Model Without Radical Business Process Reengineering. American Impact Review. https://doi.org/10.66308/air.e2026061Copy

Sections

    Article metrics

    Views182
    Downloads42

    Declarations

    Data availability

    The study is based on open sources; links are provided in the reference list.