Competitive categorization and networks: Cognitive strategic groups
Technological advancement compounds the complexity of competitor identification, making it increasingly multi-front and multi-dimensional. Strategic groups are an important unit for competition analysis, typically delineated by firms' characteristic similarities or cognitive maps. Both have ina...
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2023
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sg-smu-ink.lkcsb_research-82242024-02-20T07:53:02Z Competitive categorization and networks: Cognitive strategic groups HAN, Tian GHOBADIAN, Abby YIM, Andrew TAO, Ran THOMAS, Howard Technological advancement compounds the complexity of competitor identification, making it increasingly multi-front and multi-dimensional. Strategic groups are an important unit for competition analysis, typically delineated by firms' characteristic similarities or cognitive maps. Both have inadequacies - the former produces methodological artefacts, and the latter is subject to scale limitations, replicability and managers' cognitive blind spots. Hence, the need for alternatives supplementing the existing approaches. We propose a novel grouping methodology based on news co-mentions, reflecting factual corporate events, executives' and journalists' views, and environmental changes. It yields three advantages. First, news depicts interorganizational relationships, alleviating the concern that strategic groups are statistical artefacts. Second, the approach supplements managers' cognition with that of journalists. Third, the public availability of data offers replicability. The proposed methodology is applied to a sample collected from the US high-tech sector. We document commonalities between the co-mention-based groups and the conventionally used characteristic-based approach. However, the similarity and groups yielded from news co-mentions go beyond characteristic similarities in explaining competitive inclination, suggesting that the co-mention-based approach offers a robust alternative to identifying competitors and strategic groups. Overall, by developing a novel methodology based on a strong theoretical foundation, this study sheds new light on strategic group research. 2023-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/7225 info:doi/10.1111/1467-8551.12694 https://ink.library.smu.edu.sg/context/lkcsb_research/article/8224/viewcontent/CompetitiveCategorization_pvoa_cc_by.pdf http://creativecommons.org/licenses/by/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Strategic groups competition analysis Strategic Management Policy |
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Strategic groups competition analysis Strategic Management Policy HAN, Tian GHOBADIAN, Abby YIM, Andrew TAO, Ran THOMAS, Howard Competitive categorization and networks: Cognitive strategic groups |
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Technological advancement compounds the complexity of competitor identification, making it increasingly multi-front and multi-dimensional. Strategic groups are an important unit for competition analysis, typically delineated by firms' characteristic similarities or cognitive maps. Both have inadequacies - the former produces methodological artefacts, and the latter is subject to scale limitations, replicability and managers' cognitive blind spots. Hence, the need for alternatives supplementing the existing approaches. We propose a novel grouping methodology based on news co-mentions, reflecting factual corporate events, executives' and journalists' views, and environmental changes. It yields three advantages. First, news depicts interorganizational relationships, alleviating the concern that strategic groups are statistical artefacts. Second, the approach supplements managers' cognition with that of journalists. Third, the public availability of data offers replicability. The proposed methodology is applied to a sample collected from the US high-tech sector. We document commonalities between the co-mention-based groups and the conventionally used characteristic-based approach. However, the similarity and groups yielded from news co-mentions go beyond characteristic similarities in explaining competitive inclination, suggesting that the co-mention-based approach offers a robust alternative to identifying competitors and strategic groups. Overall, by developing a novel methodology based on a strong theoretical foundation, this study sheds new light on strategic group research. |
format |
text |
author |
HAN, Tian GHOBADIAN, Abby YIM, Andrew TAO, Ran THOMAS, Howard |
author_facet |
HAN, Tian GHOBADIAN, Abby YIM, Andrew TAO, Ran THOMAS, Howard |
author_sort |
HAN, Tian |
title |
Competitive categorization and networks: Cognitive strategic groups |
title_short |
Competitive categorization and networks: Cognitive strategic groups |
title_full |
Competitive categorization and networks: Cognitive strategic groups |
title_fullStr |
Competitive categorization and networks: Cognitive strategic groups |
title_full_unstemmed |
Competitive categorization and networks: Cognitive strategic groups |
title_sort |
competitive categorization and networks: cognitive strategic groups |
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Institutional Knowledge at Singapore Management University |
publishDate |
2023 |
url |
https://ink.library.smu.edu.sg/lkcsb_research/7225 https://ink.library.smu.edu.sg/context/lkcsb_research/article/8224/viewcontent/CompetitiveCategorization_pvoa_cc_by.pdf |
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