{"id":1331,"date":"2016-12-01T17:41:14","date_gmt":"2016-12-02T00:41:14","guid":{"rendered":"https:\/\/blogs.ubc.ca\/genemoolee\/?p=1331"},"modified":"2025-02-14T12:48:31","modified_gmt":"2025-02-14T19:48:31","slug":"business-proximity-topic-modeling-misq-2016","status":"publish","type":"post","link":"https:\/\/blogs.ubc.ca\/genemoolee\/2016\/12\/01\/business-proximity-topic-modeling-misq-2016\/","title":{"rendered":"Toward a Better Measure of Business Proximity: Topic Modeling for Industry Intelligence (MISQ 2016)"},"content":{"rendered":"<h4>Shi, Zhan, <span style=\"text-decoration: underline;\"><strong>Gene Moo Lee<\/strong><\/span>, Andrew B. Whinston (2016) <a href=\"https:\/\/blogs.ubc.ca\/genemoolee\/files\/2016\/12\/MISQ-2016-Shi-Lee-Whinston.pdf\" target=\"_blank\" rel=\"noopener\">Toward a Better Measure of Business Proximity: Topic Modeling for Industry Intelligence<\/a>.\u00a0<em><strong>MIS Quarterly<\/strong><\/em>\u00a040(4), pp. 1035-1056.<\/h4>\n<ul>\n<li>Business proximity demo site:\u00a0<a href=\"https:\/\/misr.sauder.ubc.ca\/bizprox\/\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/misr.sauder.ubc.ca\/bizprox\/\u00a0<\/a><\/li>\n<li>Media coverage: [<a href=\"http:\/\/www.huffingtonpost.com\/adi-gaskell\/can-big-data-predict-star_b_11468350.html\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Huffington Post<\/a>] [<a href=\"http:\/\/acmwebvm01.acm.org\/news\/205000-uta-researchers-use-text-mining-techniques-to-improve-market-intelligence-on-potential-mergers-and-acquisitions-of-startups-in-the-high-tech-sector\/fulltext\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">ACM TechNews<\/a>] [<a href=\"http:\/\/www.uta.edu\/inquiry\/fall17\/departments\/data-driven-discovery\/mapping-movers-and-shakers.php\" target=\"_blank\" rel=\"noopener noreferrer\">UTA Inquiry<\/a>] [<a href=\"https:\/\/blogs.wpcarey.asu.edu\/knowit\/big-data-mining-technique-becomes-helpful-tool-for-discovering-startups\/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">W.P. Carey KnowIT<\/a>]<\/li>\n<li>Presented in ACM EC (Stanford, CA 2014), MISQ Workshop (Lueven, Belgium 2015), KOCSEA (Vienna, VA 2016), UBC (2016), UT Arlington (2017), Rutgers (2018)<\/li>\n<li>Dissertation Paper #1<\/li>\n<li><a href=\"https:\/\/www.slideshare.net\/GeneMooLee\/towards-a-better-measure-of-business-proximity-topic-modeling-for-industry-intelligence\" target=\"_blank\" rel=\"noopener noreferrer\">Slides<\/a><\/li>\n<\/ul>\n<p>In this article, we propose a new data-analytic approach to measure firms\u2019 dyadic business proximity. Specifically, our method analyzes the unstructured texts that describe firms\u2019 businesses using the statistical learning technique of topic modeling, and constructs a novel business proximity measure based on the output. When compared with existent methods, our approach is scalable for large datasets and provides finer granularity on quantifying firms\u2019 positions in the spaces of product, market, and technology. We then validate our business proximity measure in the context of industry intelligence and show the measure\u2019s effectiveness in an empirical application of analyzing mergers and acquisitions in the U.S. high technology industry. Based on the research, we also build a cloud-based information system to facilitate competitive intelligence on the high technology industry.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Shi, Zhan, Gene Moo Lee, Andrew B. Whinston (2016) Toward a Better Measure of Business Proximity: Topic Modeling for Industry Intelligence.\u00a0MIS Quarterly\u00a040(4), pp. 1035-1056. Business proximity demo site:\u00a0https:\/\/misr.sauder.ubc.ca\/bizprox\/\u00a0 Media coverage: [Huffington Post] [ACM TechNews] [UTA Inquiry] [W.P. Carey KnowIT] Presented in ACM EC (Stanford, CA 2014), MISQ Workshop (Lueven, Belgium 2015), KOCSEA (Vienna, VA 2016), [&hellip;]<\/p>\n","protected":false},"author":51140,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2267],"tags":[127043,379631,45138,45113,45269,4381942,45343,4372817,4373419,45283,1350901,4371868],"class_list":["post-1331","post","type-post","status-publish","format-standard","hentry","category-publications","tag-algorithm","tag-big-data","tag-big-data-analytics","tag-business-proximity","tag-crunchbase","tag-firm-level","tag-ft50","tag-industry-intelligence","tag-information-system","tag-misq","tag-startups","tag-topic-modeling"],"_links":{"self":[{"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/posts\/1331","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/users\/51140"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/comments?post=1331"}],"version-history":[{"count":16,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/posts\/1331\/revisions"}],"predecessor-version":[{"id":4490,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/posts\/1331\/revisions\/4490"}],"wp:attachment":[{"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/media?parent=1331"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/categories?post=1331"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/tags?post=1331"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}