Showing papers by "Willem Hulsink published in 2007"

Networking by entrepreneurs: Patterns of tie-formation in emerging organizations

Abstract: There are two conflicting patterns of network development of founding entrepreneurs that emerge from existing literature. One of them evolves from an identity-based network dominated by strong ties into an intentionally managed network rich in weak ties. The other involves the opposite, with weak ties dominating in the emergence phase and some of them developing into strong ties, the latter of which are characteristic of the early growth phase. The empirical part of this study focused on the development of the networks of 32 IT start-ups in The Netherlands, which we constructed on the basis of secondary data sources and in-depth interviews with the founders. We found three distinct patterns of network development. The conflicting patterns from the literature fitted two of our patterns and we were able to reconcile them by showing how initial founding conditions and post-founding entrepreneurial processes influence tie-formation processes. We propose that the simultaneous effect of these tie-formation proc...

Entry and Innovation in Maturing Markets: Virtual Operators in Mobile Telecommunications

Abstract: In the last few years the mobile telecommunications industry has witnessed the entry of a large number of new service providers. Traditionally, mobile users get their mobile services from the service providers owned by vertically integrated mobile network operators (MNOs). The new entrants do not own a network of their own however, because they use the existing mobile infrastructure, i.e. they are 'mobile virtual network operators' (MVNOs). By granting these virtual operators access to their networks, MNOs actually facilitate the entry of potential competitors for their own downstream service providers. These new entrants might attract additional users by offering competitive services and create extra value with their well-known brand names and other complementary assets. This study focuses on the mobile market of the Netherlands, where competition is intense and MVNOs proliferate. The aim of this research is to improve our understanding of the entry of virtual operators in general, and specifically by explaining why and how virtual operators enter the mobile market and the impact they have on competition in the mobile market.

Silicon Valley in the Polder? Entrepreneurial dynamics, virtuous clusters and vicious firms in the Netherlands and Flanders

Abstract: High technology starters do not operate in a vacuum, and innovation is not a solitary activity. The activities of technology based companies take place within a social-economic framework, composed of other companies, investors, universities, vocational institutions and others. The geographical proximity to these institutions and to infrastructure hubs will influence the ICT companies? decision when choosing a location. Furthermore, many high- tech companies develop clusters in or near areas in which their major clients are located. The topic of this article is regional clustering, within the context of Internet and ICT technology. A dynamic model previously developed for the analysis of ICT entrepereneurship and networking will be applied in a critical analysis of five ICT clusters in the Netherlands and Flanders(northern part of Belgium). They are: the Louvain Technology Corridor, the Flanders Language Valley, the Amsterdam Valley, the Dommel Valley and Twente.

Clustering in ICT: From Route 128 to Silicon Valley, from DEC to Google, from Hardware to Content

Abstract: textOne of the pioneers in academic entrepreneurship and high-tech clustering is MIT and the Route 128/Boston region. Silicon Valley centered around Stanford University was originally a fast follower and only later emerged as a scientific and industrial hotspot. Several technology and innovation waves, have shaped Silicon Valley over all the years. The initial regional success of Silicon Valley started with electro-technical instruments and defense applications in the 1940s and 1950s (represented by companies as Litton Engineering and Hewlett & Packard). In the 1960s and 1970s, the region became a national and international leader in the design and production of integrated circuit and computer chips, and as such became identified as Silicon Valley (e.g. Fairchild Semiconductor, and Intel). In the 1970s and 1980s, Silicon Valley capitalised further on the development, manufacturing and sales of the personal computer and workstations (e.g. Apple, Silicon Graphics and SUN), followed by the proliferation of telecommunications and Internet technologies in the 1990s (e.g. Cisco, 3Com) and Internet-based applications and info-mediation services (e.g. Yahoo, Google) in the late 1990s and early 2000s. When the external and/or internal conditions of its key industries change, Silicon Valley seemed to have an innate capability to restructure itself by a rapid and frequent reshuffling of people, competencies, resources and firms. To characterise the demise of one firm leading, directly or indirectly, to the formation of another and the reconfiguration of business models and product offerings by the larger companies in emerging industries, Bahrami & Evans (2000) introduced the term `flexible recycling.’ This dynamic process of learning by doing, failing and recombining (i.e. allowing new firms to rise from the ashes of failed enterprises) is one of the key factors underlying the dominance of Silicon Valley in the new economy.

Silicon Valley in the Polder? Entrepreneurial Dynamics, Virtuous Clusters and Vicious Firms in the Netherlands and Flanders

Abstract: High-technology starters do not operate in a vacuum and innovation is not a solitary activity. The activities of technology-based firms are embedded in socio-economic networks with other companies, investors, universities, vocational institutions, etc. The geographical proximity of those institutions and infrastructural hubs will partly play a role in determine the location of ICT firms decision. Furthermore, many high-tech companies shape clusters around areas where their major customers are located. The topic of this paper is regional clustering Enright, 1992; Rosenfeld, 1997within the context of Internet and ICT technology. A dynamic model previously developed for the analysis of ICT-entrepreneurship and networking will be applied to make a critical analysis of five ICT-clusters in the Netherlands and Flanders (Northern part of Belgium): the Louvain Technology Corridor, Flanders Language Valley, Amsterdam Alley, Dommel Valley, and Twente.

Silicon Valley in the Polder? Entrepreneurial Dynamics, Virtuous Clusters and Vicious Firms in the Netherlands and Flanders

Abstract: textHigh-technology starters do not operate in a vacuum and innovation is not a solitary activity. The activities of technology-based firms are embedded in socio-economic networks with other companies, investors, universities, vocational institutions, etc. The geographical proximity of those institutions and infrastructural hubs will partly play a role in determine the location of ICT firms decision. Furthermore, many high-tech companies shape clusters around areas where their major customers are located. The topic of this paper is regional clustering Enright, 1992; Rosenfeld, 1997within the context of Internet and ICT technology. A dynamic model previously developed for the analysis of ICT-entrepreneurship and networking will be applied to make a critical analysis of five ICT-clusters in the Netherlands and Flanders (Northern part of Belgium): the Louvain Technology Corridor, Flanders Language Valley, Amsterdam Alley, Dommel Valley, and Twente.

Blue print for detecting and developing regional clusters

Abstract: The blue print as presented in this report is intended to be a practical guide for regional cluster development for policy- and development practitioners. Four crucial steps for successful regional cluster development have been identified and discussed in the report. Screening, selecting, intervening and monitoring are key to successful cluster development

Clustering in ICT: From Route 128 to Silicon Valley, from Dec to Google, from Hardware to Content

Abstract: One of the pioneers in academic entrepreneurship and high-tech clustering is MIT and the Route 128/Boston region. Silicon Valley centered around Stanford University was originally a fast follower and only later emerged as a scientific and industrial hotspot. Several technology and innovation waves, have shaped Silicon Valley over all the years. The initial regional success of Silicon Valley started with electro-technical instruments and defense applications in the 1940s and 1950s (represented by companies as Litton Engineering and Hewlett & Packard). In the 1960s and 1970s, the region became a national and international leader in the design and production of integrated circuit and computer chips, and as such became identified as Silicon Valley (e.g. Fairchild Semiconductor, and Intel). In the 1970s and 1980s, Silicon Valley capitalised further on the development, manufacturing and sales of the personal computer and workstations (e.g. Apple, Silicon Graphics and SUN), followed by the proliferation of telecommunications and Internet technologies in the 1990s (e.g. Cisco, 3Com) and Internet-based applications and info-mediation services (e.g. Yahoo, Google) in the late 1990s and early 2000s. When the external and/or internal conditions of its key industries change, Silicon Valley seemed to have an innate capability to restructure itself by a rapid and frequent reshuffling of people, competencies, resources and firms. To characterise the demise of one firm leading, directly or indirectly, to the formation of another and the reconfiguration of business models and product offerings by the larger companies in emerging industries, Bahrami & Evans (2000) introduced the term `flexible recycling.’ This dynamic process of learning by doing, failing and recombining (i.e. allowing new firms to rise from the ashes of failed enterprises) is one of the key factors underlying the dominance of Silicon Valley in the new economy.