Abstract
This paper offers a synthesis of a new analytical procedure based on the complementary use of a large number of methods and techniques for categorisation of objects, pattern recognition and for structural analysis. It represents an example of a functional clustering [1] and an extension to the ‘posteriori methods’ for clusterisation [2]. We call this approach MultiStage Clustering (MSC), as it applies cluster analysis methods at three distinctive stages. We present the MSC and demonstrate its application to a business dataset of 275 multinational corporations (MNCs), aiming to address the inherent weaknesses of existing industrial classification tools designed to capture diversification of firms. We evaluate the outcomes from the MSC using a combination of complementary methods for structural analysis and data visualisation, such as multi-dimensional scaling (MDS), network mapping (NM) and multiple correspondence analysis (MCA). The MSC is designed for the analysis of diversification patterns of MNCs, which can enable the measurement of group competitiveness and performance across these patterns, known as industry segments, or strategic industry groups (SIGs).
Original language | English (US) |
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Title of host publication | Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019 |
Editors | Francesca Spezzano, Wei Chen, Xiaokui Xiao |
Publisher | Association for Computing Machinery, Inc |
Pages | 771-778 |
Number of pages | 8 |
ISBN (Electronic) | 9781450368681 |
DOIs | |
State | Published - Aug 27 2019 |
Event | 11th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019 - Vancouver, Canada Duration: Aug 27 2019 → Aug 30 2019 |
Publication series
Name | Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019 |
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Conference
Conference | 11th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019 |
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Country/Territory | Canada |
City | Vancouver |
Period | 8/27/19 → 8/30/19 |
Bibliographical note
Publisher Copyright:© 2019 Copyright is held by the owner/author(s).
Keywords
- Data categorization
- Industry classification
- Multidimensional scaling
- Multiple correspondence analysis
- Multistage cluster analysis
- Network analysis
- Pattern recognition