IT integration, operations flexibility and performance: An empirical study

Abstract

Abstract: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. 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.-684-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.1869 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 strategy.

Improving the Quality of Process Models in Oil Refinery Information Systems

“…In this connection, issues of interaction and methods of integration of ERP, APS, and MES class systems are considered in the literature (Mustafa & Mejabi, 1999;Liu et al, 2002;Mertins et al, 2008;Ugarte et al, 2009;Hu et al, 2011;Kucharska et al, 2015). Such an approach makes it possible to improve production economics through the dynamic delivery of adequate information about the current state of affairs, as well as through synchronization and transparency of business processes at the enterprise (Westerlund, 1996;Rondeau & Litteral, 2001;Martinez et al, 2016). Specialized software that makes it possible to integrate various systems is constantly being developed and introduced (Rolandi & Romagnoli, 2010).…”