A Systematic Analysis of how Practitioners Articulate Business Models across Disruptive Industries
| Autor: | Alexander Lennart Schmidt, Alina Marie Herting |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Knowledge management
content analysis lcsh:Management. Industrial management industries business.industry Business model business model components disruptive innovation Computer Science Applications secondary data lcsh:HD28-70 Management of Technology and Innovation lcsh:Technology (General) lcsh:T1-995 business models business |
| Zdroj: | Technology Innovation Management Review, Vol 10, Iss 10, Pp 29-42 (2020) |
| ISSN: | 1927-0321 |
| Popis: | Ongoing debates surround the role of business models in understanding the dynamics related to disruptive innovation. Too little is still known about how practitioners highlight different characteristics of business models across industries confronted with disruptive dynamics. This shortcoming in current debates hampers a better understanding of the context-dependent phenomenon of "disruption", ultimately limiting the development of adequate business strategies for incumbents and entrepreneurs alike. Consequently, we generated a systematic database of communicated business models from 1,095 relevant press releases and company reports published between 1995 and 2019. The business models from the retrieved articles were assigned to their corresponding industry using the Global Industry Categorization Standard (GICS) to allow for diverse categorization. Subsequently, we performed a deductive coding procedure, building on accepted business model component classifications. Our study contributes insights about relevant business model components, drawing on practitioner experiences in the face of disruptive dynamics. |
| Databáze: | OpenAIRE |
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