Artificial intelligence and firm competitive performance: an empirical assessment of industrial-IoTs with moderation of financial risk management system

This study explores the connection between industrial IoTs and organisational competitive performance (OCP) along with financial risk (FNR) as moderator from the domain of China. To this end, the first aim is to investigate the relationships of certain evolving industrial IoTs (e.g., smart sensors, RFID, connected machines, industrial robotics, predictive maintenance systems, energy management systems, remote monitoring, and asset tracing) on OCP. Second, this study attempts to uncover the moderating nexus of FNR between industrial IoTs and OCP. This study provides insights into industrial IoTs, organisational competitive performance, and financial risk showing a positive between IoTs and organisational competitive performance. Likewise, a positive moderation of FNR was observed. Besides, this study highlights some limitations, and therefore authors can incorporate these limitations to validate the findings from the rest of the world in the future.

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Publication Details

Journal
International Journal of Applied Systemic Studies
Published
2025-01-01
DOI
https://doi.org/10.1504/ijass.2025.148189
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Artificial intelligence and firm competitive performance: an empirical assessment of industrial-IoTs with moderation of financial risk management system

Jiaxu Wang, Hongwei Lin
International Journal of Applied Systemic Studies
Big Data and Business Intelligence
article

Artificial intelligence and firm competitive performance: an empirical assessment of industrial-IoTs with moderation of financial risk management system

Jiaxu Wang, Hongwei Lin
article en

Abstract

This study explores the connection between industrial IoTs and organisational competitive performance (OCP) along with financial risk (FNR) as moderator from the domain of China. To this end, the first aim is to investigate the relationships of certain evolving industrial IoTs (e.g., smart sensors, RFID, connected machines, industrial robotics, predictive maintenance systems, energy management systems, remote monitoring, and asset tracing) on OCP. Second, this study attempts to uncover the moderating nexus of FNR between industrial IoTs and OCP. This study provides insights into industrial IoTs, organisational competitive performance, and financial risk showing a positive between IoTs and organisational competitive performance. Likewise, a positive moderation of FNR was observed. Besides, this study highlights some limitations, and therefore authors can incorporate these limitations to validate the findings from the rest of the world in the future.

International Journal of Applied Systemic StudiesVol. 12(3)
Hubei University of Medicine (CN), Hubei Polytechnic Institute (CN)
Openalex Percentile: Top 62%
Big Data and Business Intelligence
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