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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Main Authors: HAN, Tian, GHOBADIAN, Abby, YIM, Andrew, TAO, Ran, THOMAS, Howard
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Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access: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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spelling 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
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Strategic groups
competition analysis
Strategic Management Policy
spellingShingle Strategic groups
competition analysis
Strategic Management Policy
HAN, Tian
GHOBADIAN, Abby
YIM, Andrew
TAO, Ran
THOMAS, Howard
Competitive categorization and networks: Cognitive strategic groups
description 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
publisher 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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