Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14427
Title: Directive Deficiencies: How Resource Constraints Direct Opportunity Identification in SMEs
Authors: van Burg, Elco
Podoynitsyna, Ksenia
BECK, Lien 
LOMMELEN, Tinne 
Issue Date: 2012
Publisher: WILEY-BLACKWELL
Source: JOURNAL OF PRODUCT INNOVATION MANAGEMENT, 29 (6), p. 1000-1011
Abstract: Previous studies show that resource constraints have mixed effects on innovation and opportunity identification by entrepreneurs. Sometimes, resource constraints lead to identifying more opportunities, whereas in other cases, entrepreneurs see fewer opportunities. This study explores a new approach to reconcile this inconsistency. Using a sample of 219 small- and medium-sized enterprises (SMEs), we explore relationships between supply and demand constraints, on the one hand, and identifying supply and demand opportunities, on the other hand. The results show that supply constraints have a positive effect on identifying supply opportunities. Thus, this study shows that resource contraints direct the entrepreneur's attention toward opportunities inside the constrained domain rather than outside the constrained domain. An important consequence for theory is that a complete explanation of the mixed effects of resource constraints should consider different types of resource constraints and different sources of opportunities simultaneously. For practicing entrepreneurs; being aware of this mechanism can prevent missing out on promising opportunities outside the constrained domains.
Notes: [van Burg, Elco] Vrije Univ Amsterdam, Fac Econ & Business Adm, NL-1081 HV Amsterdam, Netherlands. [Podoynitsyna, Ksenia] Eindhoven Univ Technol TU E, Eindhoven, Netherlands. [Beck, Lien] Hasselt Univ, Ctr Entrepreneurship & Innovat KIZOK, Diepenbeek, Belgium. j.c.van.burg@vu.nl
Keywords: Business; Engineering, Industrial; Management
Document URI: http://hdl.handle.net/1942/14427
ISSN: 0737-6782
e-ISSN: 1540-5885
DOI: 10.1111/j.1540-5885.2012.00976.x
ISI #: 000310267800008
Category: A1
Type: Journal Contribution
Validations: ecoom 2013
Appears in Collections:Research publications

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