Business incubators and the networks of technology-based firms

Soetanto, Danny; Jack, Sarah

doi:10.1007/s10961-011-9237-4

Cited by 142 publications

(179 citation statements)

References 64 publications

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“…Some studies demonstrate that network-based incubation does not improve start-ups' performance (Chan and Lau 2005;Oakey 2007;Soetanto and Jack 2013). Other studies argue that network-based incubation does lead to improved startup performance (Hansen et al 2000;Hughes et al 2007;Patton 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, research has focused on different types of intermediary benefits for the incubated start-ups and the theoretical mechanisms associated with them. Studies have looked at the influence of network-based incubation on benefits such as learning (Hughes et al 2007), resources (Soetanto and Jack 2013) and social capital (Tötterman and Sten 2005). Until now, these benefits and network-based mechanisms have mainly been studied separately.…”

Section: Introductionmentioning

confidence: 99%

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How network-based incubation helps start-up performance: a systematic review against the background of management theories

2016

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The literature on how network-based incubation influences the performance of technology-based start-ups has recently grown considerably and provided valuable insights. However, at the same time this literature has become quite fragmented, inconsistently conceptualised, and theoretically underdeveloped. Therefore, this article uses three management theories to structure the literature, improve the theoretical underpinning and develop an agenda for further research. The management theories are the resourcebased view, knowledge-based view, organisational learning, and social capital theory. We find that the network-based incubation literature has convincingly shown that networkbased incubation provides start-ups with resources, capabilities, knowledge, learning and social capital. However, the influence of these intermediary benefits on start-up performance is ambiguous. There is a considerable opportunity to advance the network-based incubation literature with contemporary insights from management theories. We propose an agenda for further research on network-based incubation that leads to a fine-grained model of the mechanisms and impact of network-based incubation that goes beyond taken for granted assumptions about the positive impact of network-based incubation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How network-based incubation helps start-up performance: a systematic review against the background of management theories

2016

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“…Business incubators provide small firms (in particular startups) with "access to appropriate rental space and flexible leases, shared basic business services and equipment, technology support services and assistance in obtaining the financing." 143 In addition to physical capital, business incubators can create social capital for technology-based firms through building internal networks between tenants and external networks with other research universities and labs (Soetanto and Jack, 2013). Patent practitioners, on the other hand, not only participate in the formulation of national patent policy that significantly influences overall innovation processes but also play a pivotal role in IPRs management.…”

Section: D311 Defense Laboratory Enterprise By Statementioning

confidence: 99%

Accelerating the Transition of Technologies Created through the U.S. Department of Defense Small Business Innovation Research Program

Ryu

2017

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For more information on this publication, visit http://www.rand.org/pubs/rgs_dissertations/RGSD405.html Published by the RAND Corporation, Santa Monica, Calif. © Copyright 2017 RAND Corporation R® is a registered trademark Limited Print and Electronic Distribution RightsThis document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal use only, as long as it is unaltered and complete. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial use. For information on reprint and linking permissions, please visit www.rand.org/pubs/permissions.html.The RAND Corporation is a research organization that develops solutions to public policy challenges to help make communities throughout the world safer and more secure, healthier and more prosperous. RAND is nonprofit, nonpartisan, and committed to the public interest. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.Support RAND Make a tax-deductible charitable contribution at www.rand.org/giving/contribute www.rand.org iii AbstractThe objective of this dissertation is to better understand the contextual effects on the success of the transition of technologies generated through the U.S. Department of Defense (DOD) Small Business Innovation Research (SBIR) program, and to pull out policy recommendations for facilitating the way the SBIR transitions technologies from abstract concepts to concrete engineering capabilities that the U.S. can use in its military systems. To that end, I explore how social (network), spatial (region), and industrial (technology) factors affect the SBIR's ability to do this. Specifically, I examine the contextual effects of network, regional, and industrial characteristics on the success of technology transition using various regression models. To incorporate multilevel factors, in particular, I employ hierarchical linear models with firm-and region/ industry-level variables related to state-level innovation capacity, anchor tenants, innovation brokers, technology life cycle, technology market, technological and network positions of SBIR awardees in relation to the DOD (including its research laboratories) and prime contractors.Findings of this dissertation include: small firms' larger SBIR awards, higher age, more cutting-edge technology or high-tech focus are more likely to lead to success in technology transition; small firms' higher technological distance (in particular, relative to prime contractors) and more central network position are more likely to facilitate technology transition; the number of defense labs in a state may matter in small firms' winning federal procurement contracts and improving their return on investment; the number of DOD mentors (i.e., large prime contractors who signed up for mentoring small busin...

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“…laboratories), amongst others (Karapetyan & Otieno, 2011;European Court of Auditors, 2014;Carayannis & Von Zedtwitz, 2005;Bøllingtoft & Ulhoi, 2005;Hansen, Chesbrough, Nohria, & Sull, 2000;Soetanto & Jack, 2013;Roseira, Ramos, Maia, & Henneberg, 2014;Winger, 2000).…”

Section: Provision Of Physical Infrastructurementioning

confidence: 99%

Informal Construction Practices as Knowledge Incubators: A Conceptual Framework

Alananga

Mselle

2017

BER

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Informal learning in construction projects offers opportunities for learning in a manner that could be likened to conventional incubation. However, whether the two concepts are similar or closely related in terms of their intended/unintended outcome is not well investigated. A guided literature review based on 20 pre-specified incubation issues has revealed that conventional incubators and informal learning-by-doing practices in construction projects in developing countries are likely to be similar on three issues; "rationale for their existence", "their employment prospect" and their respective characteristics of "graduates and graduation qualifications". As learning mechanism the two, differ substantially in the remaining 17 issues specifically on those relating to support services that accompany learning. Conventional incubators provide services and functions that facilitate the growth of firms and entrepreneurs while actors involved explicitly understands the learning objectives while informal learning-by-doing practices do not require the double-coincidence of learning intentions between the mentor and the mentee. Furthermore, unlike conventional incubators which are physical or virtue spaces, informal learning-by-doing, utilises physical spaces (informal construction sites) only as tools in the knowledge transfer process and skilled craftsmen, social networks and knowledge development are integrated as incubators. It is ISSN 2162-4860 2018 http://ber.macrothink.org 14 therefore, imperative for governments in developing countries to nurture informal construction practices so as to incubate innovative skills thus creating an incubator-like environment within the informal setting. Business and Economic Research

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Business incubators and the networks of technology-based firms

Cited by 142 publications

References 64 publications

How network-based incubation helps start-up performance: a systematic review against the background of management theories

How network-based incubation helps start-up performance: a systematic review against the background of management theories

Accelerating the Transition of Technologies Created through the U.S. Department of Defense Small Business Innovation Research Program

Informal Construction Practices as Knowledge Incubators: A Conceptual Framework

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