Research on the Long-Term Mechanism of Digital Transformation for Small and Medium-Sized Enterprises

The digital transformation of small and medium-sized enterprises (SMEs) remains perpetually haunted by a paradoxical state where high initial capital outlays often yield negligible short-term returns, leading to a precarious "transformation interruption." Moving beyond simplistic linear assumptions that dominate much of the current literature, this research synthesizes TOE theory, resource-based views, and dynamic capabilities to construct a "four-helix" long-term mechanism, comprising Driving Force, Conduction, Guarantee, and Iteration, to scrutinize the systemic sustainability of digital value creation. Our empirical journey, which necessitated a transition from traditional panel regressions to a more nuanced mixed-method design including Bootstrap chain mediation and fsQCA to account for the messy realities of organizational flux, examines 1,743 A-share listed SMEs from 2018 to 2023. Findings tentatively reveal a significant U-shaped trajectory between digital intensity and performance, suggesting a theoretical "inflection point" at approximately 24–30 months; however, this duration possibly fluctuates based on the maturity of the digital ecosystem. While dynamic capability and business model innovation emerge as vital chain mediators, arguably facilitating the core value transformation. Their effectiveness is perhaps contingent upon a recursive "Iteration" helix that demands further longitudinal validation. Notably, configuration analysis indicates that four-helix synergy achieves a 68.7% success rate, a stark contrast to single-factor drivers, emphasizing that long-term efficacy is a product of configurational alignment rather than isolated technological adoption. These insights lead us to further thinking about the institutionalization of digital habits, suggesting that future SME resilience relies on a self-driven, dynamically iterative system rather than transient software acquisition.

Authors

Institutions

Publication Details

Published
2026-05-18
DOI
https://doi.org/10.70393/6a696574.343133
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Long-Term Mechanism of Digital Transformation for Small and Medium-Sized Enterprises

Nini Zhang
Digital Transformation in Industry
article

Research on the Long-Term Mechanism of Digital Transformation for Small and Medium-Sized Enterprises

Nini Zhang
article en

Abstract

The digital transformation of small and medium-sized enterprises (SMEs) remains perpetually haunted by a paradoxical state where high initial capital outlays often yield negligible short-term returns, leading to a precarious "transformation interruption." Moving beyond simplistic linear assumptions that dominate much of the current literature, this research synthesizes TOE theory, resource-based views, and dynamic capabilities to construct a "four-helix" long-term mechanism, comprising Driving Force, Conduction, Guarantee, and Iteration, to scrutinize the systemic sustainability of digital value creation. Our empirical journey, which necessitated a transition from traditional panel regressions to a more nuanced mixed-method design including Bootstrap chain mediation and fsQCA to account for the messy realities of organizational flux, examines 1,743 A-share listed SMEs from 2018 to 2023. Findings tentatively reveal a significant U-shaped trajectory between digital intensity and performance, suggesting a theoretical "inflection point" at approximately 24–30 months; however, this duration possibly fluctuates based on the maturity of the digital ecosystem. While dynamic capability and business model innovation emerge as vital chain mediators, arguably facilitating the core value transformation. Their effectiveness is perhaps contingent upon a recursive "Iteration" helix that demands further longitudinal validation. Notably, configuration analysis indicates that four-helix synergy achieves a 68.7% success rate, a stark contrast to single-factor drivers, emphasizing that long-term efficacy is a product of configurational alignment rather than isolated technological adoption. These insights lead us to further thinking about the institutionalization of digital habits, suggesting that future SME resilience relies on a self-driven, dynamically iterative system rather than transient software acquisition.

Vol. 1(2)
Daiseung Medics (South Korea) (KR)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.