In the following paragraphs we will discuss the "mapping of innovative clusters in national innovation systems". For this we have used a data set of almost 3.000 firms that participated in the first and fifth survey of the Mannheimer Innovation Survey (which is comparable with CIS data). The...

Multilevel models are widely used in education and social science research. However, theeffects of omitting levels of the hierarchy on the variance decomposition and the clusteringeffects have not been well documented...

Das Ziel der Studie lag darin, den in den Firmen des WestmecklenburgischenKunststoffverbandes anzutreffenden aktuellen Zustands des Marketings zuerfragen und zu erfassen. Dieser Ausgangszustand wurde mit dem Begriff des Marketingniveausbezeichnet. Die Kenntnis des Marketingniveaus in den Firmen...

Regional agglomerations or clusters of specialised firms and other organisations, in particular industries, have beenaround for centuries and have been a subject of research for decades (for an overview see Porter 1998a: 206-208;Enright 1998, 2003). Obviously, this is true for traditional...

Geographic clusters have an impressive track record for producing innovative firms. In this research, we examine whether a geographic cluster location and the knowledge spillovers new ventures assimilate influence both their explorative and exploitative innovation activities....

Farm Prices, income levels and other financial problems have encouraged farmers to searchfor alternative marketing channels. Costumer satisfaction is one of several factors, whichaccount for the success of direct marketing. Currently, studies on costumer satisfaction indirect marketing are...

Binary survey data from the Austrian National Guest Survey conducted in the summer season of 1997 were used to identify behavioral market segments on the basis of vacation activity information.(...) [Sara Dolnicar, Friedrich Leisch]<p>Dieses Arbeitspapier ist ebenfalls als Aufsatz erschienen in:...</p>

In this paper we propose an unsupervised voting-merging scheme that is capable of clustering data sets, and also of finding the number of clusters existing in them. The voting part of the algorithm allows us to combine several runs of clustering algorithms resulting in a common partition.(...)

In this paper cluster analysis is used to construct homogeneous groups from 157 UK local markets using commercial property returns.