TOward a better measure of business proximity: Topic modeling for industry intelligence

MIS Quarterly: Management Information Systems

Volumn 40, Issue 4, 2020, Pages 1035-1056

  Shi, Zhan Michael ^a   Lee, Gene Moo ^b   Whinston, Andrew B ^c  

^a ARIZONA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

^c UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

Big data analytics; Business proximity; Industry intelligence; Information system; Topic modeling

Indexed keywords

COMPETITION; COMPETITIVE INTELLIGENCE; LARGE DATASET;

ANALYTIC APPROACH; CLOUD-BASED; HIGH TECHNOLOGY INDUSTRIES; LARGE DATASETS; PROXIMITY MEASURE; STATISTICAL LEARNING TECHNIQUES; TOPIC MODELING; UNSTRUCTURED TEXTS;

LEARNING SYSTEMS;

EID: 85096798701     PISSN: 02767783     EISSN: 21629730     Source Type: Journal    
DOI: 10.25300/misq/2016/40.4.11     Document Type: Article

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