Innovation, Entrepreneurship and Clusters in Latin America Natural Resource: Implication and Future Challenges

Bas, Tomás Gabriel; Amorós, Ernesto; Kunc, Martin

doi:10.4067/s0718-27242008000200005

Cited by 26 publications

(18 citation statements)

References 34 publications

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“…In other words, new firms have the ability to be more adaptable to social network with high human capital potentials. This provide a higher potential to reach new information (Bas, Amoros, & Kunc, 2008;Yli-Renko, Autio, & Sapienza, 2001) with higher competitive and labour mobility provided by SNs. 'Experience' for Konya firms has deprived from the effects triggering product innovation since it has not drived from force forming SNs for product innovation due to institutional structure and traditional production style of the district firms characterized by dominant family firms, spin-off growth, imitation etc..…”

Section: Discussionmentioning

confidence: 99%

Social Networks and Innovation in Industrial Clusters: A Study in case of Turkish Industrial Clusters

Karakayacı¹

2018

Megaron

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Son otuz yılda endüstriyel kümelerin arka planını inceleyen ekonomik coğrafya ve bölgesel kalkınma yazınının odaklandığı konulardan biri de sosyal sermaye, sosyal ağlar, güven ve yakınlık temelli sosyal, ekonomik ve mekânsal özelliklerin anlaşılmasıyla ilgilidir. Nasıl bu faktörlerin sanayi kümelerinin gelişiminde rolü olacağı endüstriyel kümelere yönelik ekonomik coğrafya yaklaşımının temel tartışma noktasıdır. Makalede, Türkiye'de sanayi kümelerinin gelişiminin arkasında yatan ekonomik olmayan faktörler sosyal ağlar perspektifinde değerlendirilmiştir. Bu çerçevede, çalışmanın amacı sanayi kümelerinde yenilikçilik aktivitelerinin gelişiminde sosyal ağların rolünü keşfetmektir. Bu bağlamda çalışmanın ana hipotezi, sosyal ağların Ankara ve Konya makine sanayi kümelerinin küme içi ve küme dışında sahip olduğu formel ve enformel bağlantıların yenilikçi aktivitelerin gelişiminde belirleyici bir etkiye sahip olduğudur. Çalışmada kullanılan veriler, örnek kümelerde yapılan derinlemesine görüşmeler ve anket çalışmalarıyla elde edilmiştir. Çalışmada, kümelerin sahip olduğu sosyal ağ potansiyelleri her ne kadar değişiklik gösterse de, sosyal ağların yenilikçi aktivitelerin gelişiminde belirleyici olduğu doğrulanmıştır.Anahtar sözcükler: Sanayi kümeleri; ürün yenilikçiliği; süreç yenilikçiliği; sosyal ağlar; Türkiye. ÖZOver the last three decades, one of the most important issues in economic geography and regional development, which have occurred in the background of industrial clusters, is concerned with understanding factors such as social, economic and spatial characteristics based on social capital, social networks, trust and proximity. Increasing interest in clusters has focused on issues such as how these factors will be the role of evolution within industrial clusters. In this paper, non-economic factors behind the evolution of industrial clusters in Turkey have been discussed through social networks. The aim of this article is to determine the role of social networks on evolution of innovation in industrial clusters. In this context, the main hypothesis about the source of social networks and innovation is that social networks have a decisive influence on the changing of innovation activities through formal and informal linkages having out-cluster and intra-cluster of Ankara and Konya machinery engineering firms. The data used in the study were obtained by in-depth interviews and surveys conducted on sample clusters. It has been verified that social networks are determinants of innovation, although the social networking potentials of the clusters are different. ABSTRACT 374CİLT

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Section: Discussionmentioning

confidence: 99%

Social Networks and Innovation in Industrial Clusters: A Study in case of Turkish Industrial Clusters

Karakayacı¹

2018

Megaron

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“…Innovation through industrial clusters can be defined as a way to increase the competitiveness of small and medium enterprises by reaping the benefits generated by the local structures and synergies via cooperative relationship (Idrissia, Amaraa and Landrya, 2012). The clusters provide alliances, which among other things promote flexibility in terms of production volume and variety, reductions in investment costs, reduction in transaction costs and increase in operational efficiency, increased bargaining power, and the development of technology innovation processes (Rabellotti, 1999;Solvell, Ketels and Lindqvist, 2008;Bas, Amoros and Kunc, 2008).…”

Section: Theoretical Framework 21 Innovation and Industrial Clustersmentioning

confidence: 99%

“…Therefore, knowledge asset corresponds to some regional resource that offers qualification to transform the resources available into regional competitive advantages. This asset is characterized by Bas, Amoros and Kunc (2008) as human capital, relationship capital, structural capital, and social capital. Human capital includes knowledge of different actors within a region, which may be tacit or explicit and mean personal knowledge, but it can also be collective knowledge.…”

Section: Introductionmentioning

confidence: 99%

Innovation in Industrial Clusters: A Survey of Footwear Companies in Brazil

Tristão¹,

Oprime

Jugend

et al. 2013

Journal of Technology Management & Innovation

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The aim of this study is to characterize the relationships in innovation and business clustering processes in the productive chain of small and medium enterprises (SME) of Brazil. The object of study are SMEs the local procuctive cluster of the shoes in Franca, State of São Paulo. The conceptual model developed is based on the following constructs: vertical integration, innovation and characteristics of the cluster, and it is focused on identifying the agents that act predominantly in product innovation processes in the cluster. A survey was conducted. It was found that there is cooperation between the companies in the productive arrangement studied, and that shoe manufacturers are those who, predominantly, stimulate innovation within the cluster. 46 ability development, innovation process capacity, integration between business, and government policies for this sector.

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“…On entrepreneurship, scholars have noted that clusters are often rich spots for new firms foundation (Rocha, 2004;Ferreira, Tavares and Hesterly, 2006). Broadly, this research has had a few common elements and especially the focus on the firms' and the entrepreneurs' networks (Saxenian, 1994;Bas, Amoroso and Kunc, 2008).…”

Section: Introductionmentioning

confidence: 99%

Impact of the Types of Clusters on the Innovation Output and the Appropriation of Rents from Innovation

Ferreira

Serra

Costa

et al. 2012

Journal of Technology Management & Innovation

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The ability to generate innovations and capture the rents from innovation are important for firms' competitive advantage. Increasingly firms seek knowledge abundant locations, or industry clusters, to access novel knowledge and generate innovations through knowledge recombinations (Schumpeter, 1934). We examine how different types of clusters impact on the innovation output, the knowledge flows among the clustered firms and, ultimately, on who captures the rents from innovation. The type of cluster reflects the configuration of firms and the interactions among firms, individuals and agencies in the cluster and is likely to be a major driver of both the innovative output and of which firms will be more likely to capture the rents from innovation. Extant research has noted that the social and business networks binding firms in clusters are excellent vehicles for the flow of knowledge that eases innovations, but different types of clusters may lead to different outcomes.Keywords: clusters; types of clusters; innovation; appropriation of rents; innovation rents. However, despite the now long debate on the role and benefits of clusters and the equally extensive work on innovation, with a handful of exceptions the extant research has largely failed to probe on the actual innovation output gestated in clusters and on the firms that capture the returns from the innovations (see also Ferreira, et al., 2012). For instance, industry clusters do not have a common configuration (Markusen, 1996;Romanellii and Khessina, 2005) and it may be that different types of clusters impact differently both the innovative output and the innovators' ability to capture the benefits from the innovations.In this paper we seek to complement and extend previous research on industry clusters and innovation. In specific we focus on how the different types of clusters -for which we use the typology advanced by Markusen (1996) -influence the rate and type of innovations and which firms will be more likely to capture the rents from innovation. Specifically, we suggest that we need to look into the characteristics of the cluster to observe how the flows of communication, information and knowledge and workers occur among firms co-located. If not all clusters are alike it seems reasonable that no single answer exist. The implications of this study extend to firms, since they are concerned with appropriating the benefits from their innovations, to public policy makers in designing policies to promote cluster formation and thus it does matter the type of cluster promoted, and to managers in deciding whether to locate, or not locate, in each type of cluster. This paper is organized as follows. First, we review relevant literature on innovation and on industry clusters, namely highlighting the argument that clusters are locations of unusually high innovation activity. Then, we move to present Markusen's (1996) typology of industry clusters to discuss how different types of clusters are likely to have differentiated impact on the innovation output a...

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Innovation, Entrepreneurship and Clusters in Latin America Natural Resource: Implication and Future Challenges

Cited by 26 publications

References 34 publications

Social Networks and Innovation in Industrial Clusters: A Study in case of Turkish Industrial Clusters

Social Networks and Innovation in Industrial Clusters: A Study in case of Turkish Industrial Clusters

Innovation in Industrial Clusters: A Survey of Footwear Companies in Brazil

Impact of the Types of Clusters on the Innovation Output and the Appropriation of Rents from Innovation

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