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2015 | OriginalPaper | Buchkapitel

4. Methodological Reflections and Data Sources

verfasst von : Muhamed Kudic

Erschienen in: Innovation Networks in the German Laser Industry

Verlag: Springer International Publishing

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Abstract

In this chapter, we will start with some general methodological considerations about the design of longitudinal network databases. Then, we will look at the data sources and data collection methods that are required to construct the empirical basis of the subsequent investigations. Chapter 4 is divided into two sections: Section 4.1 focuses on methodological issues related to the construction of network datasets. Section 4.2 provides a description of the raw data sources and data collection methods that were used to construct a unique longitudinal laser industry database.

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Vorheriges Kapitel Laser Technology and the German Laser Industry

Nächstes Kapitel Quantitative Concepts and Measures

The discussion of these three strategies is guided by Marsden (2005, pp. 9–10) and Knoke and Yang (2008, pp. 16–18).

Methodological and technical support for data processing was provided by the IWH department “Formal Methods and Databases” and data collection was supported by student assistants.

This dataset was originally compiled by Guido Buenstorf, Max Planck Institute for Economics in Jena.

Corporations were declared to be laser source manufacturers based on their actual business activities as reported in laser industry business registers and frequently published laser exhibition catalogs.

The MARKUS database contains information on 1.4 million officially registered companies in Germany, Austria and Luxembourg. Data on insolvent companies is usually excluded from this database. Data access was provided by the IWH department “Formal Methods and Databases”.

The Creditreform Company stores firm data on insolvent companies in an archive database.

Quarterly published laser industry journals (i.e. “Laser & Optoelektronik”, “LaserOpto” and “Photonik”) provided by the AT Publishing Company, industry brochures (i.e. “Laser für die Materialbearbeitung” and “World of Laser”) provided by the VDMA, freely accessible Internet wayback machines (http://www.archive.org/web/web.php, accessed: November 2011) and firm web pages were systematically screened and evaluated. These historical information sources provided access to in-depth industry and firm information over the entire observation period between 1990 and 2010.

The INSPEC database contains over 11 million abstracts. The database includes journal articles, conference proceedings, technical reports and literature in the fields of physics, electronics and computing. For further details, see http://www.ovid.com/site/catalog/DataBase/107.jsp (Accessed: November 2011).

The IWH library provides access to the ISI Web of Knowledge archive to the following extent: SCI 1995–2011, SSCI 1980–2011, AHCI 1995–2011. For detailed information on the database packages, their scope and contents see http://www.wokinfo.com (Accessed: September 2011).

http://www.netzwelt.de/software/google-maps.html (Accessed: November 2011).

The Creditreform Company supplies Bureau van Dijk Publishing Company – the provider of the MARKUS database – with current business data and has an extensive inventory and historical company data.

I would like to thank Markus Bachmeyer from the Creditreform Company for his support.

http://foerderportal.bund.de/foekat/jsp/StartAction.do (Accessed: May–September 2011).

These are the following ministries according to the database description available online. Federal Ministry of Education and Research (BMBF), Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU), Federal Ministry of Economics and Technology (BMWi), Federal Ministry of Food, Agriculture and Consumer Protection (BMELV), Federal Ministry of Transport, Building and Urban Development (BMVBS). For further information on the use of the “Foerderkatalog” data in the field of innovation research see Fornahl et al. (2011) and Broekel and Graf (2011). They analyze drivers of patent performance in the German biotech industry by using the same raw database that was used in this study.

The Community Research and Development Information Service provides a broad range of information and resources on European R&D funding activities. Data on publicly funded R&D cooperation projects can be accessed by tapping the following online interface: http://cordis.europa.eu/search/index.cfm?fuseaction=search.advanced (Accessed: May 2012).

Additional programs and funding initiatives are included such as “Education & Training”, “Energy & the Environment”, “Health & Safety”, “Information Society”, “International Cooperation”, “EURATOM Framework Program” as well as some regional programs.

This line of argument is taken from Kudic et al. (2011, p. 20).

Support by the IWH department “Formal Methods and Databases”, especially from Dr. Henry Dannenberg, is gratefully acknowledged.

Bipartite networks usually tend to show a higher overall connectedness than unipartite networks. We have generated annual network layers based on both the “star assumption” and the “full assumption” to examine the structural consequences of these assumptions. Subsequently, we calculated a set of overall network measures (i.e. overall density, clustering coefficient, degree centralization) on an annual basis and explored the results over time. A comparison of the results revealed nearly the same curve progressions but on a much different scale.

Data access was provided by the IWH department “Formal Methods and Databases”.

Support in generating the SQL query and for conducting the search by Katja Guhr, Martin Zenker and Dr. Iciar Dominguez Lacasa is gratefully acknowledged.

National and international patent classification schemes provided by the German Patent Office were used for the data classification: http://www.dpma.de/ponline/ipia/03_DPMA informativ_IPIA.pdf (Accessed: June–August 2011).

Online access: www.depatisnet.de (Accessed: June–August 2011).

Online access:www.espacenet.com (Accessed: June–August 2011).

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Titel: Methodological Reflections and Data Sources
verfasst von: Muhamed Kudic
Verlag: Springer International Publishing
Buch: Innovation Networks in the German Laser Industry
Print ISBN: 978-3-319-07934-9

Electronic ISBN: 978-3-319-07935-6

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-07935-6_4

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