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Purpose: This study examines the relationship between IT implementation and performance
with manufacturing flexibility based on a sample drawn from a set of manufacturing firms.
Design/methodology/approach: The relationships were analyzed using structural equations
modelling (SEM) using EQS 6.2 software. Previously, an explanatory factor analysis confirmed
one-dimensionality of the scales, Cronbach’s alpha was calculated to evaluate its internal
consistency and a confirmatory factor analysis was run to observe scales’ validity.
Findings: This research proves a significant positive and direct effect of IT implementation on
operations performance with 4 out of 6 flexibility dimensions (Machine, Labour, Material
handling and Volume). Mix and Routing flexibility dimensions show no significant impact on
firm performance.
Research limitations/implications: It is necessary to be cautious when generalizing this
findings these findings, as service firms were not part of the sample even when statistical results
prove robustness suggesting that the findings are quite reliable. Some flexibility dimensions show
no significant impact in performance (Routing and Mix flexibility). This is consistent with the fact
that these flexibility dimensions act as variability absorbers within the manufacturing process.
Future research lines: Future studies can focus on determining further internal and
environmental factors that affect operations flexibility according to specific sector characteristics.
Originality/value: This research proves a significant positive and direct effect of IT
implementation on operations performance. Results show not only the links between IT
implementation and operations performance, but also the magnitude of every impact. The model
considers IT integration as the degree of alignment that existing technology resources in a firm
have with the business strategy, in terms of importance and support for this strateg
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