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The effect of information technology assimilation on firm performance in B2B scenarios

Authors :
Alexeis Garcia-Perez
Juan Gabriel Cegarra-Navarro
Eva Martínez-Caro
Gabriel Cepeda-Carrión
Source :
Industrial Management & Data Systems. 120:2269-2296
Publication Year :
2020
Publisher :
Emerald, 2020.

Abstract

PurposeThe spread of the Internet in the business world has led to the development of new business-to-business (B2B) settings. Although a large number of companies have adopted B2B strategies, many of these fail to implement such strategies effectively. The most common barriers encompass the technology assimilation by users. This study investigates how IT assimilation can encourage potential and realised absorptive capacity and how these can, in turn, facilitate organisational agility and performance.Design/methodology/approachA survey was conducted in Spanish companies that make use of Editran, a platform to support B2B strategies. In total, 110 valid responses were obtained. Advanced analytical methods of PLS-SEM as fit measures and prediction procedure recently developed by Shmueliet al.(2019) were used.FindingsThe results show that there is a positive relationship between the three preceding constructs (IT assimilation, potential and realised absorptive capacity) and organisational agility. This study also finds support for a direct relationship between organisational agility and firm performance.Originality/valueThis study provides a further understanding and forecasting through the theoretical development and empirical investigation of the role of IT assimilation on firm performance in a B2B scenario by: (1) examining the link between IT and the firm's absorptive capacity and, more specifically, with the two subsets of potential and realised absorptive capacity, which have not received much attention from previous literature; and (2) exploring how an improvement in potential and realised absorptive capacity may place firms in a better position to develop their organisational agility.

Details

ISSN :
02635577
Volume :
120
Database :
OpenAIRE
Journal :
Industrial Management & Data Systems
Accession number :
edsair.doi...........7f69e667ae833808bf19ed25a3e7405e
Full Text :
https://doi.org/10.1108/imds-10-2019-0554