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UID:20250503T141906EDT-7485hA3Vj6@132.216.98.100
DTSTAMP:20250503T181906Z
DESCRIPTION:Evaluating entrepreneurial potential: Where do disparities come
  from?\n\nPresented by Siobhan O’Mahony\n\nFeld Family Professor in Innova
 tion and Entrepreneurship\, Management & Organizations\n\nDate: Friday\, M
 arch 28\, 2025\n	Time: 2:00 PM - 3:30 PM (EST)\n	Location: Bronfman building
 \, room 360\n\n \n\nRSVP by Friday\, March 21\, 2025\n\n \n\nParticipants 
 are invited for a buffet from 4.00 – 5.30 pm\, in BRONF 301.\n\n\nAbstract
 \n\nOrganizations routinely evaluate entrepreneurial potential – the abili
 ty to create\, scale and capture future value. This is challenging due to 
 the diversity and volume of candidate pools to winnow\, and the difficulty
  of estimating future potential based on limited past performance data. Th
 us\, evaluators often lean on biases\, heuristics\, or homogenous networks
 \, which can (re)produce disparities. Yet little research examines the pro
 cess by which evaluators narrow pipelines. Evaluation at scale involves cr
 iteria\, templates\, quantification and comparison – each could play a rol
 e in reproducing existing disparities. How do organizations narrow pipelin
 es of entrepreneurial potential? What consequences does this have for disp
 arities in investment outcomes? We conducted a three-year field study with
  Connect\, a global organization committed to investing in entrepreneurial
  potential in inclusive ways. We conducted 59 interviews\, observed 171 ho
 urs of evaluation\, and analyzed full pipeline data for 665 startups. We t
 raced how Connect defined measurement\, and quantified and compared startu
 p data\, corroborating our results with Connect’s 31 global investment par
 tners. We explain how reducing complex data to a single score generated a 
 veneer of certainty\, although behavioral data and assumptions disappeared
  from collective evaluation. Comparing based on reduced data produced gend
 er disparities\, yet the sources of disparity were unobserved. Comparing b
 ased on elaborated data was rare\, yet it unearthed hidden data and assump
 tions through collective debate. We contribute a grounded process model th
 at explains how organizations’ data reduction processes can produce dispar
 ities in outcomes for founders that do not represent the status quo and ho
 w these disparities can be reversed.\n\nAbout Siobhan O’Mahony\n\nSiobhan 
 O’Mahony is the Feld Family Professor of Innovation and Entrepreneurship i
 n the Strategy and Innovation Department at Questrom School of Business an
 d an Associate Editor at Administrative Science Quarterly. She architected
  Innovate@BU\, a campus wide initiative to spur innovation across Boston U
 niversity and created a new minor in Innovation and Entrepreneurship. Siob
 han has taught undergraduates\, graduates\, doctoral students and thousand
 s of executives on principles of innovation and design thinking. She has e
 xamined how venture capitalists\, entrepreneurs\, product development team
 s\, high technology contractors\, open source programmers\, music producer
 s\, scientists\, engineers and activists achieve collective innovation\, c
 reativity or growth goals. Her research has been published in the top jour
 nals in her field including Administrative Science Quarterly\, Organizatio
 n Science\, Academy of Management Journal\, Research Policy\, Research in 
 Organizational Behavior\, Research in the Sociology of Organizations\, Str
 ategic Organization\, Industry and Innovation\, the Journal of Management 
 and Governance among others. Her research has been featured in the New Yor
 k Times\, BusinessWeek\, CNet News\, MIT Technology Review and Inc. Magazi
 ne. She has been a guest on CNBC’s morning call program\, guest radio inte
 rview for WCPT 850 Chicago and done podcasts for Harvard Business Review a
 nd the Batten Institute. Siobhan received her Ph.D. in Management Science 
 and Engineering from Stanford University\, an M.P.A from the Cornell Insti
 tute of Public Affairs\, and a B.S. in Industrial Labor Relations from Cor
 nell University.\n
DTSTART:20250328T180000Z
DTEND:20250328T193000Z
LOCATION:Room 360\, Bronfman Building\, CA\, QC\, Montreal\, H3A 1G5\, 1001
  rue Sherbrooke Ouest
SUMMARY:Laurent Picard Distinguished Lecture: Siobhan O’Mahony
URL:/desautels/channels/event/laurent-picard-distingui
 shed-lecture-siobhan-omahony-363728
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