Does Distance Matter? an Ego-network Approach towards the Knowledge-based Theory of Clusters
نویسندگان
چکیده
The purpose of this article is to empirically analyze how different forms of proximity influence interactive learning and ease of knowledge transfer among entrepreneurs, in order to advance the knowledge-based theory of clusters. Making use of ego-network data, gathered among entrepreneurs from the Amsterdam IT and new media-cluster and analyzed using structural equation modeling, the data lead us to reconsidering the role of geographical proximity as main catalyst of interactive learning and knowledge flow among entrepreneurs. A strong case is put forward for acknowledging other forms of proximity, namely relational, cognitive, and in particular epistemic proximity, as main facilitators of interactive learning and ease of knowledge transfer.
منابع مشابه
The Adaptation of English Initial Clusters by Persian Learners
This study presents an overview of the different strategies that Persian learners of English employ to deal with initial clusters. While vowel epenthesis appears to be the most widespread repair strategy to conform such clusters to Persian phonotactics, the location of the epenthetic vowel varies. In this paper, we investigate two approaches that seek to explain the epenthetic site. The first o...
متن کاملBotOnus: an online unsupervised method for Botnet detection
Botnets are recognized as one of the most dangerous threats to the Internet infrastructure. They are used for malicious activities such as launching distributed denial of service attacks, sending spam, and leaking personal information. Existing botnet detection methods produce a number of good ideas, but they are far from complete yet, since most of them cannot detect botnets in an early stage ...
متن کاملOptimal Self-healing of Smart Distribution Grids Based on Spanning Trees to Improve System Reliability
In this paper, a self-healing approach for smart distribution network is presented based on Graph theory and cut sets. In the proposed Graph theory based approach, the upstream grid and all the existing microgrids are modeled as a common node after fault occurrence. Thereafter, the maneuvering lines which are in the cut sets are selected as the recovery path for alternatives networks by making ...
متن کاملINTEGRATING CASE-BASED REASONING, KNOWLEDGE-BASED APPROACH AND TSP ALGORITHM FOR MINIMUM TOUR FINDING
Imagine you have traveled to an unfamiliar city. Before you start your daily tour around the city, you need to know a good route. In Network Theory (NT), this is the traveling salesman problem (TSP). A dynamic programming algorithm is often used for solving this problem. However, when the road network of the city is very complicated and dense, which is usually the case, it will take too long fo...
متن کاملAn Unsupervised Learning Method for an Attacker Agent in Robot Soccer Competitions Based on the Kohonen Neural Network
RoboCup competition as a great test-bed, has turned to a worldwide popular domains in recent years. The main object of such competitions is to deal with complex behavior of systems whichconsist of multiple autonomous agents. The rich experience of human soccer player can be used as a valuable reference for a robot soccer player. However, because of the differences between real and simulated soc...
متن کامل