102,676 research outputs found
Professional emergence and boundary work in the Italian wine industry: ‘Nella botte piccola c’è il vino buono’
Marco Bottura, Raffaele Corrado, Bernard Forgues, and Vincenza Odorici focus on the issue of field-level change by discussing the transformation of the Italian wine industry. Conceptually, apart from different strands of institutional thought, they make particular use of the sociology of professions and the concept of boundary objects in the social studies of science and technology. By applying network analysis, they show the emergence of a new field structure where experts, consultants, ratings and rankings increasingly shape the field. Professional winemakers are of outstanding importance here, as they spread their expert knowledge throughout the network and connect wineries and, ultimately, their products in a hitherto unknown way
Non-invasive evaluation of Secukinumab efficacy in severe plaque psoriasis with confocal microscopy and optical coherence tomography: A case report
Rivalry and inter-organizational learning processes: What are the horizontal benefits of clustering?
Knowledge has become a crucial asset in modern production systems; therefore, its creation has become a key process in order to sustain or increase competitiveness. The ensuing shift toward a knowledge-based economy has amplified research interests in geographical clustering of firms that compete in the same or related industries, a sort of ideal space where inter-organizational learning should take place more easily.
Indeed, research has produced empirical evidence that firms located in geographical clusters are more likely to learn and innovate than isolated firms (Audretsch and Feldman, 1996; Baptista and Swann, 1998; Baptista, 2000; Porter, 1990). The renewed attention to the subject of geographical proximity highlights how far we are from having a clear understanding of the influence of geographical proximity on the process of interactive learning and innovation (Boschma, 2005; Torre and Gilly, 2000). Geographic proximity per se is not considered a sufficient condition for learning to take place (Boschma, 2005: 62) while it is able to strength other dimensions of proximity facilitating learning processes (Boschma, 2005; Boari, Espa, Odorici and Zamarian, 2004; Breschi and Lissoni, 2005; Greeve, 2005). Many scholars starting from different perspectives converge to agree that different forms of proximity should be related to one other and their importance explored to establish a specific theory of clusters where learning occupies the central stage (Torre and Rallet, 2005; Knoben and Oerlemans, 2006; Malmberg and Maskell 2002: 429).
Moreover, theoretical developments and empirical testing have largely been restricted to the relationship between geographical proximity, inter-firm cooperation and learning processes. Undoubtedly, far less attention has been paid to geographical proximity, rivalry and learning processes.
This paper aims to contribute to this debate exploring the relationship between geographical proximity and rivalry in influencing interactive learning and knowledge creation. Rivalry is considered to play a central role in the explanations of the advantage of industry agglomeration. Rivalry is at the very heart of the concept of geographical cluster, as a spatially concentrated group of firms that are rivals of one another. Claims that “knowledge in clusters is created through increased competition and intensified rivalry” (Malmberg and Power, 2005: 412) are widely shared. The ideas that rivalry should be more intense and should play an essential role in learning processes going on among the firms inside the geographical cluster (because of the geographical proximity) have been documented in few empirical investigations. Drawing on the empirical and theoretical efforts of diverse streams of research on competitive dynamic, learning and industrial agglomerations this paper addresses the relationships between geographical proximity and rivalry and their consequences on learning processes. In particular geographical proximity influences rivals identification process as well as rivals comparison process, mediating the relationship between rivalry and learning process.
In order to address the issue, we made use of an agent-based model (ABM). ABMs reconstruct interactions between agents out of their behavioral rules. In this case, strategic choices of rival firms are derived from general assumptions on competitive behavior and learning processes.
The rest of this article is structured as follows. The second section provides the theoretical and conceptual framework of the study. The third section illustrates the elements of the model.. The fourth section shows the experiment and preliminary results
Efficacy of ustekinumab after failure of infliximab CT-P13 in a HLA-Cw6-positive patient affected by pityriasis rubra pilaris: monitoring with reflectance confocal microscopy (RCM) and optical coherence tomography (OCT)
Rivalry and Learning Among Clustered and Isolated Firms
INTRODUCTION
Knowledge has become a crucial asset in modern production systems, and its creation has
become a key process in order to sustain or increase competitiveness. The ensuing shift
toward a knowledge-based economy has amplified research interests in geographical
clustering of firms, for geographical proximity is supposed to ease inter-organizational
learning. This paper aims to make a contribution by investigating the relationships between
geographical proximity and rivalry with respect to inter-organizational learning and
knowledge creation. In order to reproduce the interactions between firms, we made use of an agent-based model
where the strategic choices of rival firms are derived from general assumptions on
competitive behavior and learning processes. Aim of the model is to investigate the co-
evolution of firms’ knowledge, strategies and performances
A reconfigurable keyboard for a computer
Un sistema che consente di avere tasti in grado di rappresentare ogni tipo di simbolo o immagine in modo riconfigurabile
A real-life experience of psoriatic patients with history of cancer treated with biological drugs
Secukinumab: A positive outcome in a patient with severe psoriasis and HBV-HCV co-infection
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