EconPapers    
Economics at your fingertips  
 

Learning from unexpected technological success: an extended model of supply-side diffusion

Lapo Mola, Andrea Carugati, Antonio Giangreco and Joao Viera da Cunha
Additional contact information
Andrea Carugati: LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique

Post-Print from HAL

Abstract: Researchers have studied the diffusion of information technology (IT) mainly as a process of adoption. However, the practices of supply-side agents of diffusion are just as critical to guaranteeing the adaptation of technology to the changing needs of the adopters. The execution of these practices over time and across multiple supply-side agents is both complex and understudied. Therefore, this study investigates IT diffusion practices from the perspective of supply-side agents. Drawing from a longitudinal case of development, sale, and institutionalisation of a healthcare information system, this article proposes a model of the supply side of technology diffusion. The model shows that diffusion depends on supply-side agents engaging in practices that are both demanding and possibly misaligned with traditional agent practices. Accordingly, the study provides an additional explanation for the complexity of technological diffusion and extends the theoretical framework of technology diffusion by adding supply-side dynamics.

Date: 2021-04-08
References: Add references at CitEc
Citations:

Published in European Journal of Information Systems, 2021, pp.1-20. ⟨10.1080/0960085x.2021.1907232⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03267417

DOI: 10.1080/0960085x.2021.1907232

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-03-19
Handle: RePEc:hal:journl:hal-03267417