Advanced search

Promoting radical innovation through end-user computing satisfaction

Emilio Domínguez-Escrig (Department of Business Administration and Marketing, Universitat Jaume I, Castelló de la Plana, Spain)
Francisco Fermín Mallén Broch (Department of Business Administration and Marketing, Universitat Jaume I, Castelló de la Plana, Spain)
Rafael Lapiedra (Department of Business Administration and Marketing, Universitat Jaume I, Castelló de la Plana, Spain)
Ricardo Chiva (Department of Business Administration and Marketing, Universitat Jaume I, Castelló de la Plana, Spain)

Industrial Management & Data Systems

ISSN: 0263-5577

Publication date: 10 September 2018

Abstract

Purpose

The purpose of this paper is to provide empirical evidence of the relationship between end-user computing satisfaction (EUCS) and radical innovation, using organizational learning as an explanatory variable.

Design/methodology/approach

An empirical study was conducted in a population of 402 Spanish companies. A sample of 251 valid questionnaires was obtained. Structural equations were used to validate the proposed hypotheses.

Findings

Organizational learning capability fully mediates the relationship between EUCS and radical innovation.

Research limitations/implications

The sample of companies is heterogeneous in terms of size, sector, age and market share. The study uses single informants.

Practical implications

Results highlight the need to implement adequate information systems to promote radical innovation. In addition, it is necessary to facilitate organizational contexts that encourage dialogue, experimentation, risk-taking, participative decision-making and openness to the external environment.

Originality/value

This research contributes to the study of alternative antecedents of radical innovation by highlighting the importance of EUCS.

Keywords

Citation

Domínguez-Escrig, E., Broch, F.F.M., Lapiedra, R. and Chiva, R. (2018), "Promoting radical innovation through end-user computing satisfaction", Industrial Management & Data Systems, Vol. 118 No. 8, pp. 1629-1646. https://doi.org/10.1108/IMDS-06-2017-0256

Download as .RIS

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

To read the full version of this content please select one of the options below

You may be able to access this content by logging in via Shibboleth, Open Athens or with your Emerald account.
To rent this content from Deepdyve, please click the button.
Rent from Deepdyve
If you think you should have access to this content, click the button to contact our support team.
Contact us
Manage cookies

We’re listening — tell us what you think

Join us on our journey