{"id":1807,"date":"2019-08-06T01:22:25","date_gmt":"2019-08-06T08:22:25","guid":{"rendered":"https:\/\/blogs.ubc.ca\/genemoolee\/?p=1807"},"modified":"2026-04-28T09:05:28","modified_gmt":"2026-04-28T16:05:28","slug":"structural-hole-opportunity-jmis","status":"publish","type":"post","link":"https:\/\/blogs.ubc.ca\/genemoolee\/2019\/08\/06\/structural-hole-opportunity-jmis\/","title":{"rendered":"Computational Framework for Measuring Strategic Opportunities Based on Structural Hole Theory (JMIS 2026)"},"content":{"rendered":"<h4>Lee, Myunghwan, <span style=\"text-decoration: underline;\">Gene Moo Lee<\/span>, Hasan Cavusoglu, Marc-David L. Seidel (2026) &#8220;<a href=\"https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=6625299\" target=\"_blank\" rel=\"noopener\">Computational Framework for Measuring Strategic Opportunities Based on Structural Hole Theory<\/a>&#8220;, <em>Journal of Management Information Systems, Forthcoming.<\/em><\/h4>\n<ul>\n<li>Dataset: <a href=\"https:\/\/github.com\/MyunghwanLee88\/Hole-Opportunity-Position-HOP\" target=\"_blank\" rel=\"noopener\">https:\/\/github.com\/MyunghwanLee88\/Hole-Opportunity-Position-HOP<\/a><\/li>\n<li>Part of <a href=\"https:\/\/www.bschool.cuhk.edu.hk\/staff\/lee-myunghwan\/\" target=\"_blank\" rel=\"noopener\">Myunghwan Lee<\/a>&#8216;s <a href=\"https:\/\/open.library.ubc.ca\/soa\/cIRcle\/collections\/ubctheses\/24\/items\/1.0441325?o=0\" target=\"_blank\" rel=\"noopener\">Dissertation<\/a><\/li>\n<li>doc2vec model of 10-K reports: <a href=\"http:\/\/projector.tensorflow.org\/?config=https:\/\/misr.sauder.ubc.ca\/tensor\/1995-2020\/1995-2020_config.json\" target=\"_blank\" rel=\"noopener noreferrer\">Link<\/a><\/li>\n<li>Presented at UBC MIS 2018, <a href=\"http:\/\/cist2019.conferency.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">CIST 2019<\/a>, <a href=\"http:\/\/krais.org\/\" target=\"_blank\" rel=\"noopener noreferrer\">KrAIS 2019<\/a>, DS 2021, KrAIS 2021, UT Dallas 2022, KAIST 2022, Korea Univ 2022, INFORMS 2022<\/li>\n<li>Funded by Sauder Exploratory Grant 2019<\/li>\n<li>Research assistants: Raymond Situ, Sahil Jain<\/li>\n<\/ul>\n<p>Although opportunities play a central role in firm innovation and performance, prior research lacks a scalable, theory-grounded approach to measuring them. Existing measures are either context-specific or detached from explicit relational mechanisms, limiting their generalizability and interpretability. To address this gap, we propose a structural hole theory-guided computational design framework that enables fine-grained strategic opportunity measures: hole-opening, hole-entering, and non-hole positions. We demonstrate the effectiveness of this framework through a systematic analysis of IPO outcomes using panel data on U.S. public firms. We find that hole-opening positions are associated with higher post-IPO valuations, but a lower likelihood of M&amp;A exits, whereas hole-entering and non-hole positions are linked to lower IPO valuations but higher probabilities of M&amp;A outcomes. These patterns highlight distinct opportunity roles embedded in firms\u2019 structural positions. We conclude the paper by discussing the broad applicability of the theory-guided computational framework for opportunity measurement in various IS research contexts.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Lee, Myunghwan, Gene Moo Lee, Hasan Cavusoglu, Marc-David L. Seidel (2026) &#8220;Computational Framework for Measuring Strategic Opportunities Based on Structural Hole Theory&#8220;, Journal of Management Information Systems, Forthcoming. Dataset: https:\/\/github.com\/MyunghwanLee88\/Hole-Opportunity-Position-HOP Part of Myunghwan Lee&#8216;s Dissertation doc2vec model of 10-K reports: Link Presented at UBC MIS 2018, CIST 2019, KrAIS 2019, DS 2021, KrAIS 2021, UT [&hellip;]<\/p>\n","protected":false},"author":51140,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2267],"tags":[1264,379631,45276,4381969,4381970,45229,45272,4381942,45343,45320,4372817,45318,424636,45227,4523,45271,45319,45226,45230,45170],"class_list":["post-1807","post","type-post","status-publish","format-standard","hentry","category-publications","tag-ai","tag-big-data","tag-compustat","tag-computational-design-science","tag-design-science","tag-doc2vec-method","tag-edgar","tag-firm-level","tag-ft50","tag-industry-competition","tag-industry-intelligence","tag-is-strategy","tag-machine-learning","tag-network-theory","tag-text-mining","tag-sec","tag-strategic-positioning","tag-structural-hole","tag-survival-analysis","tag-word-embedding"],"_links":{"self":[{"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/posts\/1807","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=1807"}],"version-history":[{"count":45,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/posts\/1807\/revisions"}],"predecessor-version":[{"id":4690,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/posts\/1807\/revisions\/4690"}],"wp:attachment":[{"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/media?parent=1807"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/categories?post=1807"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.ubc.ca\/genemoolee\/wp-json\/wp\/v2\/tags?post=1807"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}