RESUMEN
Faced with dramatic pressures connected with COVID-19, the health systems were challenged by the need of providing care to COVID-19 patients, without jeopardising the lives of physicians. Telemedicine was a candidate solution, but just having a well-performing technology is not enough. Theoretical models on technology adoption alert that to be effectively and timely adopted, technology – e.g. telemedicine – has to be accepted. In this article, we investigate the innovation journey of a firm (Firm A) that designed and developed a telemedicine platform, collaborating with different actors – adopters (physicians, nurses and patients) and health decision-makers – according to an open innovation (OI) approach. During the COVID-19 emergency, Firm A has rapidly and successfully modified its product to provide a Local Health District with an effective solution for patients monitoring. The case study shows an interwoven relationship between the OI approach adopted in the development of the telemedicine platform and the acceptance of the technology itself, paving the way to a new role for OI: not only an enabler supporting knowledge exchanges, but also an enabler of Technology Acceptance. [ FROM AUTHOR] Copyright of Technology Analysis & Strategic Management is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
RESUMEN
Despite remarkable academic efforts, why Enterprise Resource Planning (ERP) post-implementation success occurs still remains elusive. A reason for this shortage may be the insufficient addressing of an ERP-specific interior boundary condition, i.e., the multi-stakeholder perspective, in explaining this phenomenon. This issue may entail a gap between how ERP success is supposed to occur and how ERP success may actually occur, leading to theoretical inconsistency when investigating its causal roots. Through a case-based, inductive approach, this manuscript presents an ERP success causal network that embeds the overlooked boundary condition and offers a theoretical explanation of why the most relevant observed causal relationships may occur. The results provide a deeper understanding of the ERP success causal mechanisms and informative managerial suggestions to steer ERP initiatives towards long-haul success.