Service Design for Hybrid Market Constellations in Healthcare—From VUCA 2 VUCAR

Rasche, Christoph; Brehmer, Nataliia

doi:10.1007/978-3-030-87273-1_2

Cited by 1 publication

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Firstly, VUCA exerts its impact on the hospital environment [38][39][40]. Volatility reflects the presence of an unpredictable and fluctuating performance pattern, primarily driven by unforeseen emergencies and urgent interventions [41].…”

Section: Challenges In the Vuca Environmentmentioning

confidence: 99%

“…Second, the impact of digital transformation itself warrants scrutiny [37,45,46]. The market witnesses an influx of numerous new digital providers and services, and their rapid entry and exit create an environment of volatility, making decisions in favor of specific services or technologies challenging [39]. Uncertainty factors emerge due to the substantial investments required for adopting new technologies or digital treatment processes [47].…”

Section: Challenges In the Vuca Environmentmentioning

confidence: 99%

See 1 more Smart Citation

What’s next in hospital digitization? A Delphi-based scenario study

Koebe,

Bohnet-Joschko

2023

Eur J Futures Res

View full text Add to dashboard Cite

The digital transformation has induced significant social and economic changes, impacting services of general interest, including healthcare. National healthcare systems serve as crucial pillars of social and prosperity security, necessitating adaptation in the face of digital transformation. Among healthcare institutions, hospitals play a vital role due to the nature and scope of their care services. This study presents a scenario-based investigation to explore the forthcoming changes in the healthcare environment and their potential effects on inpatient care. The study employed an iterative approach, commencing with an exploratory survey of experts to identify impact areas and descriptors. Subsequently, a two-round Delphi survey, involving a four-member stakeholder expert group, was conducted to evaluate and refine the identified parameters. A fuzzy clustering algorithm was utilized in the study to derive four different scenarios. These scenarios elucidate alternative development paths and describe the characteristics that may lead to these developments. The study’s findings offer valuable insights for formulating proactive recommendations and interventions to effectively address future developments in healthcare.

show abstract