Mediating effect of industry dynamics, absorptive capacity and resource commitment in new digital technology adoption and effective implementation processes
Journal of Enterprise Information Management
ISSN: 1741-0398
Article publication date: 8 June 2023
Issue publication date: 13 May 2024
Abstract
Purpose
Drawing upon a systematic literature review in new technology, innovation transfer and diffusion theories, and from interviews with technology leaders in digital transformation programs in the US Oil & Gas (O&G) industry, the authors explore the relationships among O&G industry dynamics, organization's absorptive capacity and resource commitment for new digital technology adoption-implementation process.
Design/methodology/approach
The authors employed the empirical survey method to gather the data (a sample size of 172) in the US O&G industry and used structural equation modeling (SEM) to test the measurement model for validity and reliability and the conceptual model for hypothesized structural relationships.
Findings
The results provide support for the study’s causal model of adoption and implementation with positive and direct relationships between the initiation and trial stages, between the trial stages and the evaluation of effective outcomes and between the effective outcomes and the effective implementation stages of digital technologies. The results also reveal partial mediating relationships of industry dynamics, absorptive capacity and resource commitment between respective stages.
Practical implications
Based on the current study's findings, managers are recommended to pay attention to the evolving industry dynamics during the initiation stage of new digital technology adoption, to utilize the organization's knowledge-based absorptive capacity during digital technology trial and selection stages and to support the digital technology implementation project when the adoption decision of a particular digital technology has been made.
Originality/value
The empirical research contributes literature on digital technology adoption and implementation by identifying and demonstrating the importance of industry dynamics, absorptive capacity and resource commitment factors as mediating variables at various stages of the adoption-implementation process and empirically validating a process-based causal model of digital technology adoption and a successful implementation project that has been missing in the current body of literature on digital transformation.
Keywords
Acknowledgements
Erratum: It has come to the attention of the publisher that the article, Rupak Rauniar, Greg Rawski, Qing Ray Cao and Samhita Shah “Mediating effect of industry dynamics, absorptive capacity and resource commitment in new digital technology adoption and effective implementation processes”, published in Journal of Enterprise Information Management, Vol. 37 No. 3, pp. 928-958, was published with incorrect affiliation information for Greg Rawski. The correct affiliation information is Byrum School of Business, Marian University, Indianapolis, Indiana, USA. The error was introduced in the editorial process and has now been corrected in the online version. The publisher sincerely apologises for this error and for any inconvenience caused.
Citation
Rauniar, R., Rawski, G., Cao, Q.R. and Shah, S. (2024), "Mediating effect of industry dynamics, absorptive capacity and resource commitment in new digital technology adoption and effective implementation processes", Journal of Enterprise Information Management, Vol. 37 No. 3, pp. 928-958. https://doi.org/10.1108/JEIM-06-2022-0190
Publisher
:Emerald Publishing Limited
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