The present paper assesses the effect of the formation of cluster organisations on the innovation performance of member enterprises in two different industriesthe traditional textile manufacturing industry and the new nanotechnology industry. Innovation performance is explored using Data Envelopment Analysis in two phases. In the first phase, it examines the ability of enterprises to transform resources (labour force, long-term capital, intellectual capital) into registered industrial property rights: patents, utility models, industrial designs, and trademarks. In the second phase, it assesses the ability of enterprises to commercialise industrial property rights and generate profits. Innovation performance then integrates both phases. In each industry, two samples were assessed: member enterprises of cluster organisations, and enterprises that operate in the same industry and region but are not members of a cluster organisation. The results of the research show that the existence of a cluster organisation has a greater effect on innovation performance in the traditional textile manufacturing industry. In contrast, in the new nanotechnology industry, the existence of a cluster organisation did not prove to have any significant effect on innovation effectiveness. In this industry, the existence of a cluster organisation had only a partial effect related to better industrial property rights commercialisation. Research shows that the type of industry is an important factor in the innovation performance of clustered enterprises.
The operation of air transport is one of the most significant factors in promoting economic growth and competitiveness within any given region. The present paper deals with an assessment of the performance of Germany's 27 most important airports in terms of their technical efficiency. For this purpose, the authors employed the method of Data Envelopment Analysis. The first part of the paper focuses on a literature review on the use of the DEA method in assessing the performance of airports and air transport. For this DEA a list has been compiled of inputs and outputs that have been used by international authors in their publications to assess airport performance. The second part of the paper describes the methodology of the actual research. The 2016 annual reports from various airports served as the main source of data. The number of employees, number of runways and airport area were selected as inputs. As the outputs, two variables were chosen: number of aircraft movements and the amount of cargo. By applying input-oriented DEA, CCR and BCC models, 13 German airports have been identified that are able to efficiently transform the given inputs into outputs, as they employ the best practices and appropriate processes in their operations management. Five airports can also be described as facilities that have achieved the optimal and most productive size.
Previous research presented in numbers of studies strongly suggests that locating in a cluster generates valuable benefits to clustered firms. These include better access to suppliers and other scarce inputs, superior knowledge and innovation, a better position from which to build a social network as well as proximate to successful competitors. Yet when the positive impact of agglomeration and clustering has been questioned on the strictly financial performance of clustered firms, the results of these studies are not so convincing and question the enthusiasm for cluster theory shown by scholars, practitioners, and policymakers. The aim of our research is to enrich existing knowledge concerning the benefits of clustering, as well as to test if localisation in a natural cluster, and membership in a cluster organisation has a positive impact on financial performance. We propose to measure that by selected financial indicators such as ROA, ROS, labour productivity and Economic Value Added, focussing our research on traditional industrial sectorsplastics and textiles seated in the Czech Republic. The results of analysing firm-level data in the period of 2009-2016 fail to confirm any significant influence of firm localisation in natural cluster or membership in the cluster organisation on financial performance for firms in studied sectors. We achieved the same results by investigation of potential differences for young firms, SMEs or underperforming firms.
This article focuses on the impact of clusters on performance in five selected industries. Focused on increasing the competitiveness of regions and enterprises, clusters are currently considered one of the most essential tools of industrial policy. This includes the Czech Republic, where cluster initiatives have been systematically supported since 2004 by operational programmes. The goal of this research was to determine whether cluster organizations have a positive effect on the performance of their member enterprises in various industries. Another goal was to verify the relation between the financial and innovative performance of the member enterprises. The research was carried out on a sample of five clusters in the automotive, IT, furnituremanufacturing, packaging and machinery industries, with Data Envelopment Analysis used for this performance evaluation. The enterprises were divided into three groups: companies that are members of cluster organizations, companies that are active in the same region and industry but are not members of a cluster group, and companies from the respective industry that operate outside the region of the given cluster. The results of the study indicate that in four industries (automotive, IT, packaging, machinery), member companies of cluster organizations achieve better results than non-members or firms active in other regions. On the other hand, it was not possible to prove a positive relation between company performance and their registered industrial rights, neither from the perspective of cluster membership nor their activity in the respective industry and region.
No abstract
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.