Development of a Life Cycle Model for Deep Tech Startups

Download statistics - Document (COUNTER):

Schuh, G.; Studerus, B.; Hämmerle, C.: Development of a Life Cycle Model for Deep Tech Startups. In: Journal of Production Systems and Logistics 2 (2022), 5. DOI: https://doi.org/10.15488/11730

Selected time period:

year: 
month: 

Sum total of downloads: 1,729




Thumbnail
Abstract: 
Startups with a technological focus usually pursue the overarching goal of scaling and establishing themselves as a corporate with a product portfolio as quickly as possible. Deep tech startups in particular identify market niches in which no established players are present and aim to disrupt existing or create new markets with deep technology innovations. In this context, deep tech startups face the challenge of not only developing their organization, but also developing their technology and building a market in parallel. Here, a collaboration with a corporate could be helpful, but, yet often fails due to the insufficient knowledge about life cycle stages and associated goals. To date the goals of deep tech startups in their specific life cycle stages are not precisely formulated in literature. Consequently, the aim of this paper is to develop a life cycle stage model for deep tech startups that enables the explication and pursuit of tangible goals for the individual stages. In the context of a literature review, existing approaches for the description of life cycles of startups as well as goals in the development of organizations are examined. Deficits are then discussed and suitable life cycle stages as well as goal dimensions for the development of a deep tech startup are derived. The life cycle model is based on five distinct development dimensions of startups, and, thereby, enables the derivation of generic goals.
License of this version: CC BY 3.0 DE
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Volume 2 (2022)

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 445 25.74%
2 image of flag of United States United States 153 8.85%
3 image of flag of France France 114 6.59%
4 image of flag of Netherlands Netherlands 75 4.34%
5 image of flag of Spain Spain 67 3.88%
6 image of flag of Brazil Brazil 65 3.76%
7 image of flag of India India 59 3.41%
8 image of flag of Sweden Sweden 49 2.83%
9 image of flag of South Africa South Africa 48 2.78%
10 image of flag of Italy Italy 46 2.66%
    other countries 608 35.16%

Further download figures and rankings:


Hinweis

Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.

Search the repository


Browse