A panel analysis of the moderating role of information technology on high-tech exports: absorptive capacity and global disruptions

Purpose Supply chain disruptions caused by geopolitical risks or global disasters negatively impact high-tech exports. However, the absorptive capacity (AC) of information systems can mitigate these negative impacts. This research aims to address the research question: “ How does information technology absorptive capacity (ITAC) moderate the relationship between unemployment and high-tech export performance (HTEP) ? ” Design/methodology/approach A research model, including the proposed relationships, is presented to address the research question using the practice-based view (PBV) as a theoretical lens. The collected data consist of 270 samples, including a 10-year panel dataset from 27 countries, to examine the adverse impact of supply chain disruptions. This research employs panel regression models with fixed and random effects estimators to evaluate the impact of unemployment on HTEP and explain the moderating impacts. Findings The results show that unemployment negatively influences HTEP. However, ITAC significantly mitigates this negative effect on export performance during supply chain disruptions. Originality/value This research contributes to literature by introducing ITAC as an influential moderator in high-tech export resilience. We contribute to the PBV by introducing a new moderator. Moreover, this research addresses gaps in the literature regarding how firms can adapt to global crises by building innovative capacity.

Authors

Publication Details

Journal
Industrial Management & Data Systems
Published
2025-04-24
DOI
https://doi.org/10.1108/imds-10-2024-0967
Citations
2
Primary Topic
Global trade and economics
Type
article
Field-Weighted Citation Impact
6.17
Controls
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article

A panel analysis of the moderating role of information technology on high-tech exports: absorptive capacity and global disruptions

Victor R. Prybutok, Ahren Johnston, Reza Gharoie Ahangar
2 citations
Industrial Management & Data Systems
Global trade and economics
6.17
article

A panel analysis of the moderating role of information technology on high-tech exports: absorptive capacity and global disruptions

Victor R. Prybutok, Ahren Johnston, Reza Gharoie Ahangar
article en
2 citations

Abstract

Purpose Supply chain disruptions caused by geopolitical risks or global disasters negatively impact high-tech exports. However, the absorptive capacity (AC) of information systems can mitigate these negative impacts. This research aims to address the research question: “ How does information technology absorptive capacity (ITAC) moderate the relationship between unemployment and high-tech export performance (HTEP) ? ” Design/methodology/approach A research model, including the proposed relationships, is presented to address the research question using the practice-based view (PBV) as a theoretical lens. The collected data consist of 270 samples, including a 10-year panel dataset from 27 countries, to examine the adverse impact of supply chain disruptions. This research employs panel regression models with fixed and random effects estimators to evaluate the impact of unemployment on HTEP and explain the moderating impacts. Findings The results show that unemployment negatively influences HTEP. However, ITAC significantly mitigates this negative effect on export performance during supply chain disruptions. Originality/value This research contributes to literature by introducing ITAC as an influential moderator in high-tech export resilience. We contribute to the PBV by introducing a new moderator. Moreover, this research addresses gaps in the literature regarding how firms can adapt to global crises by building innovative capacity.

Industrial Management & Data SystemsVol. 125(6)
Openalex Percentile: Top 5%
Global trade and economics
6.17
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A panel analysis of the moderating role of information technology on high-tech exports: absorptive capacity and global disruptions — Victor R. Prybutok, Ahren Johnston, et al. · Industrial Management & Data Systems (2025) | TGRS Research Map | TGRS