Search results

Healthcare organizations have employed numerous strategies to promote quality improvement (QI) initiatives, yet little is known about their effectiveness. In 2008, staff in one organization developed an in-house QI training program designed for frontline managers and staff and this article aims to report employee perspectives

Design/methodology/approach

Qualitative interviews were conducted with 22 course participants to examine satisfaction, self-assessed change in proficiency and ability to successfully engage with QI initiatives. Sampling bias may have occurred as the participants volunteered for the study and they may not represent all course participants. Recall bias is also possible since most interviews took place one year after the course was completed to assess long-term impact. Respondents were asked to self-rate their pre- and post-course knowledge and skill, which may not represent what was actually learned.

Informants reported that the course expanded their QI knowledge and skills, and that supervisor support for the course was essential for success. Additionally, the course QI project provided participants with an opportunity to translate theory into practice, which has the potential to influence patient outcomes.

Several lessons for future QI training can be gleaned from this evaluation, including respondent opinions that it is challenging to offer one program when participants have different QI knowledge levels before the course begins, that “booster sessions” or refresher classes after the course ends would be helpful and that supervisor support was critical to successful QI-initiative implementation.

This study conducts in-depth interviews with QI course participants to elicit staff feedback on program structure and effectiveness. These findings can be used by QI educators to disseminate more effective training programs.

The purpose of this paper is to investigate the nascent market settings from a business model innovation perspective with the research questions: How do incumbents and start-ups make sense of an emerging technology through business model design in a nascent market setting, and how does business model choice influence firm performance?

The authors have tracked the development of four case companies in the nascent electric vehicle market from 2009 to 2018 and have conducted interviews and analyzed the archival data.

The authors propose a typology of business model choices and performance where the four types of business models distinguish themselves by how the companies innovate or imitate the value proposition of the current industry as well as how they innovate or imitate the business model archetype. In accordance with these different business model choices, the actors express different logics behind their new to the product market space business model choice. These logics represent different understandings of technology potential, customer needs as well as potential for value capture and contribute to and limit the translation of emerging technologies into dominant designs in diverse ways.

The business model is conceived as a focusing device that can be used to identify market applications for emerging technologies. As new disruptive technologies often require a new to the product market space business model, literature has in recent years put a premium on business model innovation. However, the linkages between emergent technologies and the choice of a novel business model are under investigated especially in relation to how business model choice affects business performance in nascent market settings. This paper aims at filling this gap.