TY - JOUR
T1 - Opportunity recognition in a hub-governed network
T2 - Insights from garage services
AU - Lepistö, Tanja
AU - Mäkitalo-Keinonen, Tiina
AU - Valjakka, Tiina
N1 - Project code: 101308
Funding Information:
Acknowledgements The authors wish to thank professors Colm O′Gorman and Ulla Hytti who have given their time and shared their ideas for this research. Our sincere gratitude also goes to the company representatives. The research has been funded by Tekes (the Finnish Funding Agency for Technology and Innovation), Turku School of Economics at the University of Turku and VTT Technical Research Centre of Finland. This article is based on a paper presented at the RENT (Research on Entrepreneurship and Small Business) Conference.
Publisher Copyright:
© 2017, Springer Science+Business Media New York.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/3/15
Y1 - 2019/3/15
N2 - This paper examines opportunity recognition activities in a hub-governed service network. More precisely, the research questions are: How do opportunities emerge in a hub network context? and What are the activities of different network actors concerning opportunity recognition? We conducted a case study of a network of service entrepreneurs orchestrated by a hub firm, with the data consisting of 35 interviews. In this study we have explored the opportunity recognition from the perspective of both the hub firm and entrepreneurs. Firstly our analysis shows that there is a great deal of innovation potential in the grass roots of our case network. The challenge is that local improvements mostly stay local. Improving interaction might also help to identify and implement local adaptations and improvements so as to benefit the entire chain. We posit that the hub firm and network would benefit from empowering small firms' initiatives for renewal. Secondly, in terms of the effectuation literature we have extended the analysis into the context of small firms operating in a hub network context, where elements of both causation and effectuation are evident. Firms are experiencing opportunity recognition through the causation processes observed in the hub network, while also simultaneously engaging in opportunity development through effectuation processes.
AB - This paper examines opportunity recognition activities in a hub-governed service network. More precisely, the research questions are: How do opportunities emerge in a hub network context? and What are the activities of different network actors concerning opportunity recognition? We conducted a case study of a network of service entrepreneurs orchestrated by a hub firm, with the data consisting of 35 interviews. In this study we have explored the opportunity recognition from the perspective of both the hub firm and entrepreneurs. Firstly our analysis shows that there is a great deal of innovation potential in the grass roots of our case network. The challenge is that local improvements mostly stay local. Improving interaction might also help to identify and implement local adaptations and improvements so as to benefit the entire chain. We posit that the hub firm and network would benefit from empowering small firms' initiatives for renewal. Secondly, in terms of the effectuation literature we have extended the analysis into the context of small firms operating in a hub network context, where elements of both causation and effectuation are evident. Firms are experiencing opportunity recognition through the causation processes observed in the hub network, while also simultaneously engaging in opportunity development through effectuation processes.
KW - opportunity recognition
KW - service development
KW - hub-governed network
KW - effectuation
KW - entrepreneurship
UR - http://www.scopus.com/inward/record.url?scp=85014052368&partnerID=8YFLogxK
U2 - 10.1007/s11365-017-0439-6
DO - 10.1007/s11365-017-0439-6
M3 - Article
SN - 1554-7191
VL - 15
SP - 257
EP - 280
JO - International Entrepreneurship and Management Journal
JF - International Entrepreneurship and Management Journal
IS - 1
ER -