Page 77 - T-I JOURNAL19 4
P. 77

724   DEMIRALP ET AL.               WOMEN’S ENTREPRENEURSHIP IN STEM                        725



 in favor of more egalitarian practices among acade-  and on-the-job training and continuing through   REFERENCES  October 1, 2016]. https://www.bls.gov/soc/.
 micians, in order to better accommodate junior and  business formation and operation, that affect com-  12.  U.S. Census Bureau. STEM, STEM-related,
 mid-level women scientists in commercially-oriented  mercialization among women. Individually, each   1.  The White House. A strategy for American inno-  and Non-STEM Occupation Code List 2010.
 work distributions (9).  stage represents a critical opportunity for leverag-  vation. Washington (DC): National Research   Washington (DC): United States Department of
 ing the potential of women and girls in STEM. Taken   Council and the Office of Science and Technol-  Commerce; c2010 [accessed October 1, 2016).
 Enabling Future Research on Women in STEM  together, this pipeline demonstrates the considerable   ogy Policy; 2015.  https://www.census.gov/topics/employment/
   The recent increase in scientific and policy   breadth of the challenge of decreasing the commer-  2.  Jarrett V, Tchen C. Keeping America’s women   industry-occupation/guidance/code-lists.html.
 resources directed at improving women’s engagement  cialization gap.   moving forward: the key to an economy built to   13.  Ruggles S, Genadek K, Goeken R, Grover J,
 in STEM further underscores the need for appropriate    There is still a need for further research to better   last. Washington (DC): The White House Coun-  Sobek M. Integrated Public Use Microdata
 data to understand the commercialization and entre-  understand the determinants of commercialization   cil on Women and Girls; 2012.   Series: Version 6.0 [Machine-readable database].
 preneurial outcomes of women in STEM. Specifically,   and why they may have differential effects on women   3.  Beede DN, Julian TA, Langdon D, McKittrick   Minneapolis: University of Minnesota; 2015
 improvements in data collected may better detail the  and minority entrepreneurs in STEM. An immedi-  G, Khan B, Doms ME. Women in STEM: a gen-  14.  Siebens J, Ryan C. Field of Bachelor’s degree in
 factors that contribute to the gender gap in commer-  ate limitation in this research effort is the lack of data   der gap to innovation. Economics and Statistics   the United States: 2009. American Community
 cialization and track progress towards equity (33).  sources that allow researchers to simultaneously iden-  Administration Issue Brief #04-11. Washington   Survey Reports. Washington (DC): U.S. Census
 To date, the U.S. Patent and Trademark Office does  tify entrepreneur and business characteristics and   (DC): United States Department of Commerce;   Bureau; 2012.
 not publicly share demographic information on pat-  measure the quality and quantity of their commercial-  2011.
 ent applicants and granted patents, a practice that is   ization outcomes. Therefore, enhancing data sources   4.  Fairlie R, Robb A. Gender differences in business   15.  Choi J, Jeong S, Kehoe C. Women in entrepre-
 also common among university technology transfer   to permit rigorous empirical analyses of commer-  performance: evidence from the characteris-  neurship education in US higher education. J
 offices (27). Furthermore, microdata that has detailed   cialization outcomes is an important step for future   tics of business owners survey. Small Bus Econ.   Bus Divers. 2012;12(2):11-26.
 information on not only outputs related to intellec-  research that is needed to inform policy-making.    2009;33(4):375-395.  16.  Hunt J, Garant JP, Herman H, Munroe DJ. Why
 tual property (e.g., patents, trademarks, etc.) but also     Future research, empowered by improved data for   5.  Robb A, Watson J. Gender differences in   are women underrepresented amongst paten-
 information on the extent to which underlying tech-  analysis, should investigate the relative roles that var-  firm performance: evidence from new ven-  tees? Res Policy. 2013;42:831-843.
 nology enters the market would lead to research that   ious internal and external factors play in explaining   tures in the United States. J Bus Venturing.   17.  Ong M, Wright C, Espinosa L, Orfield G.
 can provide more direct evidence on commercial   commercialization outcomes among women entre-  2012;27(5):544-558.  Inside the double bind: a synthesis of empir-
 activity and better inform policy.  preneurs. A better understanding of the determinants   6.  Blume-Kohout ME. Understanding the gender   ical research on undergraduate and graduate
 influencing women’s entrepreneurial choices and   gap in STEM fields entrepreneurship. Washing-  women of color in STEM. Harvard Educ. Rev.
 CONCLUSIONS  commercialization outcomes is key for the devel-  ton (DC): Small Business Administration Office   2011;81(2):172-208.
   This report presents an examination of women’s  opment of effective and targeted policies that will   of Advocacy; 2014.  18.  Espinosa L. Women of color in undergrad STEM
 entrepreneurship and commercialization in STEM  allow the U.S. economy to realize the full potential   7.  BarNir A. Starting technologically innovative   majors. Harvard Educ. Rev. 2011;81(2):209-240.
 through descriptive data analysis and literature  of STEM fields.   ventures: reasons, human capital and gender.   19.  Perna L, Lundy-Wagner V, Drezner ND, Gasman
 review. Its findings highlight differences between   Manage Decis, 2012;50(3):399-419.  M, Yoon S, Bose E, Gary S. The contribution of
 men and women entrepreneurs in STEM fields as  ACKNOWLEDGMENTS  8.  Turrentine A, Well V. Career advancement   HBCUs to the preparation of African Ameri-
 well as differences between women entrepreneurs    We would like to thank Dolores Rowen (Research   through academic commercialization: acknowl-  can women for STEM careers: a case study. Res
 in STEM and non-STEM fields in terms of owner  Manager, National Women’s Business Council   edging and reducing barriers for women   High Educ. 2009;50:1-23.
 and business characteristics. These differences sug-  (NWBC)), Esther Morales (Executive Director,   engineering faculty. Paper presented at: 122nd  20.  Sugimoto CR, Ni C, West JD, Larivière V. The
 gest that women entrepreneurs in STEM fields may  NWBC), and Dr. Teresa Nelson (Councilmember,   ASEE Annual Conference & Exposition; 2015   academic advantage: gender disparities in pat-
 face unique challenges or may experience the effects  NWBC) for their helpful comments on earlier drafts   Jun 14-17; Seattle, WA.  enting. PLOS ONE. 2015;10(5):e0128000
 of certain challenges disproportionately relative to  of this report. We would also like to thank Professors   9.  Whittington KB, Smith-Doerr L. Women   21.  Colyvas JA, Snellman K, Bercovitz J, Feldman M.
 men. Further, minority women may face steeper and  Al Link (University of North Carolina Greensboro)   inventors in context: disparities in patent-  Disentangling effort and performance: a renewed
 somewhat different challenges to pursuing careers  and Maryann Feldman (University of North Carolina   ing across academia and industry. Gend Soc.   look at gender differences in commercializ-
 and commercial success in STEM fields than other  Chapel Hill) for their valuable feedback and com-  2008;22(2):194-218.  ing medical school research. J Technol Transf.
 women.   ments. We are grateful to Annie Rorem (Senior   10.  Polkowska D. Women scientists in the leaking   2012;37:478-489.
   Prior research has identified external factors in  Research Manager, NWBC) for her valuable insight   pipeline: barriers to commercialization of sci-  22.  Ding WW, Murray F, Stuart TE. Gender pat-
 each career stage, starting with STEM education  and feedback throughout the project.  entific knowledge by women. J Technol Manag   enting differences in the academic life sciences.
                Innov. 2013;8(2):156-165.                  Science. 2006;313(5787):665-667.
            11.  Bureau of Labor Statistics. Standard Occupa-  23.  Goel GK, Göktepe-Hultén D, Ram R. Academics’
                tional Classification. Washington (DC): United   entrepreneurship propensities and gender dif-
                States Department of Labor; c2017 [accessed   ferences. J Technol Transf. 2015;40(1):161-177.
   72   73   74   75   76   77   78   79   80   81   82