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Innovation in African-American high-tech enterprises: a multi-agent approach

Author

Listed:
  • Jeffrey O’Neal London

    (University of Bridgeport, United States)

  • Nasir Jamil Sheikh

    (University of Bridgeport, United States)

Abstract

African-American-owned high-tech enterprises and innovations are underrepresented in industry in comparison to non-African-American-owned ones. Various complex and intertwined socio-economic factors hinder the innovation capability of African-American-owned high-tech enterprises leading to underrepresentation of these businesses. Understanding the causal relationship between firm’s interactions with internal and external entities and its ability to innovate can foster the efforts of a high-tech enterprise in increasing and sustaining innovation capabilities. Agent-based modeling (ABM) emerges as one of the popular approaches to the study of complex socio-technological systems. Characterizing the organizational behavior of African-American-owned high-tech enterprises through the ABM perspective may provide a better understanding of the drivers, processes, and outcomes of this industry segment. By analyzing interview data among African-American entrepreneurs, this study proposes an ABM framework to represent and analyze the innovation capabilities of African-American-owned technology enterprises in comparison to other types of ownership. The ABM model illustrates the key involved agents, their attributes, actions, and the complex interactions amongst them. Simulation results indicate that African American population is underrepresented in the high-tech industry due to two significant factors of social and economic standings implying that the simulation trajectory is in the right direction. Model calibration, verification using real data and implementation plans related to policy development discussions and factors impacting African-American enterprises are also discussed in the study.

Suggested Citation

  • Jeffrey O’Neal London & Nasir Jamil Sheikh, 2020. "Innovation in African-American high-tech enterprises: a multi-agent approach," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(4), pages 3101-3121, June.
    • Handle: RePEc:ssi:jouesi:v:7:y:2020:i:4:p:3101-3121
    DOI: 10.9770/jesi.2020.7.4(35)
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    References listed on IDEAS

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    1. J Sylvan Katz, 2016. "What Is a Complex Innovation System?," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-24, June.
    2. Bertrand Quélin & Caroline Mothe, 1997. "R & D Consortia and the Creation of New Competences," Working Papers hal-00601594, HAL.
    3. Giannopoulou, Eleni & Barlatier, Pierre-Jean & Pénin, Julien, 2019. "Same but different? Research and technology organizations, universities and the innovation activities of firms," Research Policy, Elsevier, vol. 48(1), pages 223-233.
    4. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    5. Motohashi, Kazuyuki, 2005. "University-industry collaborations in Japan: The role of new technology-based firms in transforming the National Innovation System," Research Policy, Elsevier, vol. 34(5), pages 583-594, June.
    6. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    7. Amol M. Joshi & Todd M. Inouye & Jeffrey A. Robinson, 2018. "How does agency workforce diversity influence Federal R&D funding of minority and women technology entrepreneurs? An analysis of the SBIR and STTR programs, 2001–2011," Small Business Economics, Springer, vol. 50(3), pages 499-519, March.
    8. Axelrod, Robert & Tesfatsion, Leigh, 2006. "A Guide for Newcomers to Agent-Based Modeling in the Social Sciences," Staff General Research Papers Archive 12515, Iowa State University, Department of Economics.
    9. N. Gilbert, 1997. "A Simulation of the Structure of Academic Science," Sociological Research Online, , vol. 2(2), pages 91-105, June.
    10. Ma, Tieju & Nakamori, Yoshiteru, 2005. "Agent-based modeling on technological innovation as an evolutionary process," European Journal of Operational Research, Elsevier, vol. 166(3), pages 741-755, November.
    11. Sonia Gatchair, 2013. "Race/Ethnicity and Education Effects on Employment in High Technology Industries and Occupations in the US, 1992–2002," The Review of Black Political Economy, Springer;National Economic Association, vol. 40(4), pages 357-370, December.
    12. Massimo Colombo & Luca Grilli, 2007. "Funding Gaps? Access To Bank Loans By High-Tech Start-Ups," Small Business Economics, Springer, vol. 29(1), pages 25-46, June.
    13. Scott J. Wallsten, 2000. "The Effects of Government-Industry R&D Programs on Private R&D: The Case of the Small Business Innovation Research Program," RAND Journal of Economics, The RAND Corporation, vol. 31(1), pages 82-100, Spring.
    14. Tether, Bruce S. & Tajar, Abdelouahid, 2008. "Beyond industry-university links: Sourcing knowledge for innovation from consultants, private research organisations and the public science-base," Research Policy, Elsevier, vol. 37(6-7), pages 1079-1095, July.
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    More about this item

    Keywords

    African-American entrepreneur; agent-based model; high-technology; innovation; NetLogo; entrepreneurship;
    All these keywords.

    JEL classification:

    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

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