Perceived Value and Perceived Feedback of Facility AI Platform Service on Organizational Performance : An Empirical Study Based on the IS Success Model

With the fundamental shifts of innovative technologies in the 4th industrial revolution, most manufacturing companies are taking place in how the production and supply network operates through utilizing digital technology and artificial intelligence. This study aims to empirically analyze the impact of the perceived value of facility AI platform services and feedback mechanisms on organizational performance in small and medium-sized enterprises (SMEs) engaged in root industries such as mold making, casting, automobile parts, and machinery parts manufacturing in Korea. The research model is based on the IS Success model, incorporating information quality, system quality, and service quality as key independent variables. and a survey was conducted. Empirical analysis will be presented based on 98 valid responses out of 106 collected from domestic SMEs, examining the impact of facility AI platform services on organizational performance through perceived value and perceived feedback. This study finds that information and service quality significantly influence both perceived value and feedback, while system quality affects only perceived value. Ultimately, perceived value and feedback both contribute positively to organizational performance, highlighting the direct benefits of facility AI platform services.

Authors

Publication Details

Journal
The Journal of Internet Electronic Commerce Resarch
Published
2025-06-30
DOI
https://doi.org/10.37272/jiecr.2025.6.25.3.169
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
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article

Perceived Value and Perceived Feedback of Facility AI Platform Service on Organizational Performance : An Empirical Study Based on the IS Success Model

Taesoo Moon, Byongkoo Lee
The Journal of Internet Electronic Commerce Resarch
Technology Adoption and User Behaviour
article

Perceived Value and Perceived Feedback of Facility AI Platform Service on Organizational Performance : An Empirical Study Based on the IS Success Model

Taesoo Moon, Byongkoo Lee
article en

Abstract

With the fundamental shifts of innovative technologies in the 4th industrial revolution, most manufacturing companies are taking place in how the production and supply network operates through utilizing digital technology and artificial intelligence. This study aims to empirically analyze the impact of the perceived value of facility AI platform services and feedback mechanisms on organizational performance in small and medium-sized enterprises (SMEs) engaged in root industries such as mold making, casting, automobile parts, and machinery parts manufacturing in Korea. The research model is based on the IS Success model, incorporating information quality, system quality, and service quality as key independent variables. and a survey was conducted. Empirical analysis will be presented based on 98 valid responses out of 106 collected from domestic SMEs, examining the impact of facility AI platform services on organizational performance through perceived value and perceived feedback. This study finds that information and service quality significantly influence both perceived value and feedback, while system quality affects only perceived value. Ultimately, perceived value and feedback both contribute positively to organizational performance, highlighting the direct benefits of facility AI platform services.

The Journal of Internet Electronic Commerce ResarchVol. 25(3)
Openalex Percentile: Top 83%
Technology Adoption and User Behaviour
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