Digital Technology Adoption in American Small Businesses: Why Adoption Does Not Always Lead to Improved Performance

This paper examines why the adoption of digital technology does not consistently lead to improved performance among American small businesses. Although digital tools such as AI, business analytics, e-commerce platforms, accounting software, and dashboards are increasingly common in small businesses, the literature suggests that adoption alone does not guarantee improved business performance because successful implementation depends on organizational capability, strategic fit, and integration into managerial decision-making. This study combines a literature review of 25 sources with a small case study of businesses in Brookline, Massachusetts, conducted between July 2025 and February 2026. The case study found that most surveyed businesses responded to rising costs or supply issues through immediate operational changes, primarily by raising prices or switching suppliers, while only two reported using AI tools or data analysis software for business decisions. The literature review identified four major explanations for uneven results in tech adoption: poor fit or ineffective adoption, lack of training and organizational capability, superficial use of digital tools, and failure to integrate technology into decision-making. The findings suggest that small businesses benefit most from digital tools when those tools are matched to specific business problems, supported by training and organizational resources, and integrated into everyday management decisions.

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Publication Details

Journal
Scholarly review .
Published
2026-09-04
DOI
https://doi.org/10.70121/001c.169604
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Digital Technology Adoption in American Small Businesses: Why Adoption Does Not Always Lead to Improved Performance

Avyaya Jha
Scholarly review .
Big Data and Business Intelligence
article

Digital Technology Adoption in American Small Businesses: Why Adoption Does Not Always Lead to Improved Performance

Avyaya Jha
article en

Abstract

This paper examines why the adoption of digital technology does not consistently lead to improved performance among American small businesses. Although digital tools such as AI, business analytics, e-commerce platforms, accounting software, and dashboards are increasingly common in small businesses, the literature suggests that adoption alone does not guarantee improved business performance because successful implementation depends on organizational capability, strategic fit, and integration into managerial decision-making. This study combines a literature review of 25 sources with a small case study of businesses in Brookline, Massachusetts, conducted between July 2025 and February 2026. The case study found that most surveyed businesses responded to rising costs or supply issues through immediate operational changes, primarily by raising prices or switching suppliers, while only two reported using AI tools or data analysis software for business decisions. The literature review identified four major explanations for uneven results in tech adoption: poor fit or ineffective adoption, lack of training and organizational capability, superficial use of digital tools, and failure to integrate technology into decision-making. The findings suggest that small businesses benefit most from digital tools when those tools are matched to specific business problems, supported by training and organizational resources, and integrated into everyday management decisions.

Scholarly review .Vol. Fall 2026(17)
Openalex Percentile: Top 6%
Big Data and Business Intelligence
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