Business model evolution, contextual ambidexterity and the growth performance of high-tech start-ups
Bernardo Balboni,
Guido Bortoluzzi,
Roberto Pugliese and
Andrea Tracogna
Journal of Business Research, 2019, vol. 99, issue C, 115-124
Abstract:
Focusing on the role of efficiency and novelty design themes, this paper examines how (a) the initial business model of a start-up, (b) the subsequent changes in the design themes and (c) the combinative effect of efficiency and novelty (contextual ambidexterity) impact a start-up's growth performance. The study is based on a survey involving 267 new ventures from high-tech industries. The results highlight the importance of pursuing higher efficiency over the life cycle of a start-up, although not at the moment of its establishment. In relation to business model ambidexterity, the findings highlight the different effect that contextual ambidexterity can have on the growth performance of a start-up firm in different stages of its life cycle. While initial ambidexterity is found to have a negative effect on growth performance, successive increases in the level of ambidexterity have a positive influence on growth.
Keywords: Business model evolution; Business model design; Business model ambidexterity; Growth; Start-ups; High-tech (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296319301195
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:99:y:2019:i:c:p:115-124
DOI: 10.1016/j.jbusres.2019.02.029
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().