Title: Dynamics of the network economy: a content analysis of the search engine trends and correlate results using word clusters

Authors: Murat Yaşlıoğlu

Addresses: School of Business, Istanbul University, Turkey

Abstract: Network economy is a relatively untouched area, strategic approach to the dynamics of this new economy is quite limited. Network economy is about the networks. Thus, it was decided to follow up the information on the internet including almost every kind of documentation. First, a deep relation analysis using trends was conducted to find out the related topics to new economy's dynamics: network effect, network externalities, interoperability, big data, open standards and social media. After the relation analysis, correlates of aforementioned keywords were analysed. Finally, all the clean 'top results' on the web were collected by the help of Linux command line tools into various, large text files. These files were analysed by the help of Nvivo qualitative analysis tool to form clusters. By the broad information available at hand, an extensive discussion on each result is written. It is believed that this new research approach will also guide many future researches on various subjects.

Keywords: network economy; network effect; network externalities; interoperability; big data; open standards; network strategy; methodology; analytics; word clusters; search engines.

DOI: 10.1504/IJDATS.2020.105162

International Journal of Data Analysis Techniques and Strategies, 2020 Vol.12 No.1, pp.1 - 29

Received: 13 Jun 2017
Accepted: 16 Apr 2018
Published online: 14 Feb 2020 *

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