Exploring the Impact of Blockchain Technology Application on Firm Dynamic Capability Development and Firm Performance : Evidence from Chinese Firms

This study examines the impact of blockchain technology application on firm performance, focusing specifically on the influence of dynamic capabilities in this relationship. Using panel data from 1,305 observations of Chinese A-share listed firms between 2016 and 2023, the analysis employs fixed effects regression models to test the proposed relationships. Python was used to conduct automated text analysis of blockchain-related disclosures in corporate annual reports, and the resulting data were processed and analyzed using Excel and Stata 17.0. Fixed effects regression results demonstrate that blockchain technology application positively affects firm performance via enhanced absorptive and innovative capabilities, whereas adaptive capability exhibits no significant effect. Heterogeneity analysis further reveals that the performance impact of blockchain is more pronounced in manufacturing firms. Theoretically, the study enriches dynamic capability theory by demonstrating how external technologies like blockchain are not inherently value-generating but require firm-specific capabilities to translate potential into performance. Practically, the results suggest that firms should align their blockchain adoption strategies with their existing capability structures and industry-specific demands.

Authors

Publication Details

Journal
Korean Logistics Research Association
Published
2025-06-30
DOI
https://doi.org/10.17825/klr.2025.35.3.133
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Impact of Blockchain Technology Application on Firm Dynamic Capability Development and Firm Performance : Evidence from Chinese Firms

Chae‐Bogk Kim, Jin-Jin Lyu
Korean Logistics Research Association
Blockchain Technology Applications and Security
article

Exploring the Impact of Blockchain Technology Application on Firm Dynamic Capability Development and Firm Performance : Evidence from Chinese Firms

Chae‐Bogk Kim, Jin-Jin Lyu
article en

Abstract

This study examines the impact of blockchain technology application on firm performance, focusing specifically on the influence of dynamic capabilities in this relationship. Using panel data from 1,305 observations of Chinese A-share listed firms between 2016 and 2023, the analysis employs fixed effects regression models to test the proposed relationships. Python was used to conduct automated text analysis of blockchain-related disclosures in corporate annual reports, and the resulting data were processed and analyzed using Excel and Stata 17.0. Fixed effects regression results demonstrate that blockchain technology application positively affects firm performance via enhanced absorptive and innovative capabilities, whereas adaptive capability exhibits no significant effect. Heterogeneity analysis further reveals that the performance impact of blockchain is more pronounced in manufacturing firms. Theoretically, the study enriches dynamic capability theory by demonstrating how external technologies like blockchain are not inherently value-generating but require firm-specific capabilities to translate potential into performance. Practically, the results suggest that firms should align their blockchain adoption strategies with their existing capability structures and industry-specific demands.

Korean Logistics Research AssociationVol. 35(3)
Openalex Percentile: Top 73%
Blockchain Technology Applications and Security
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.