IDEAS home Printed from https://ideas.repec.org/a/ssi/jouesi/v7y2020i4p3101-3121.html
   My bibliography  Save this article

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)
    as

    Download full text from publisher

    File URL: https://jssidoi.org/jesi/uploads/articles/28/London_Innovation_in_AfricanAmerican_hightech_enterprises_a_multiagent_approach.pdf
    Download Restriction: no

    File URL: https://jssidoi.org/jesi/article/574
    Download Restriction: no

    File URL: https://libkey.io/10.9770/jesi.2020.7.4(35)?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Westerhoff Frank H., 2008. "The Use of Agent-Based Financial Market Models to Test the Effectiveness of Regulatory Policies," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 195-227, April.
    2. Giovanni Dosi & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2016. "The Effects of Labour Market Reforms upon Unemployment and Income Inequalities: an Agent Based Model," LEM Papers Series 2016/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. repec:hal:spmain:info:hdl:2441/3kbkotqp1b85pa2lu2puri38p6 is not listed on IDEAS
    4. Leigh Tesfatsion, 2017. "Elements of Dynamic Economic Modeling: Presentation and Analysis," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(2), pages 192-216, March.
    5. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    6. Stephan Leitner & Doris Behrens, 2015. "On the fault (in)tolerance of coordination mechanisms for distributed investment decisions," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 251-278, March.
    7. Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201704300700001022, Iowa State University, Department of Economics.
    8. repec:hal:spmain:info:hdl:2441/5rtilga41c899ab0rctd3cp2r3 is not listed on IDEAS
    9. João Bernardino & Tanya Araújo, 2013. "On positional consumption and technological innovation: an agent-based model," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 1047-1071, November.
    10. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "The labour-augmented K+S model : a laboratory for the analysis of institutional and policy regimes," Working Papers hal-03443457, HAL.
    11. Leigh Tesfatsion, 2017. "Modeling economic systems as locally-constructive sequential games," Journal of Economic Methodology, Taylor & Francis Journals, vol. 24(4), pages 384-409, October.
    12. Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201703280700001022, Iowa State University, Department of Economics.
    13. Junjie Sun & Leigh Tesfatsion, 2007. "Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 291-327, October.
    14. Zhangqi Zhong & Lingyun He, 2022. "Macro-Regional Economic Structural Change Driven by Micro-founded Technological Innovation Diffusion: An Agent-Based Computational Economic Modeling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 471-525, February.
    15. Santiago Quintero Ramírez & Walter Lugo Ruiz Castañeda & Jorge Robledo Velásquez, 2017. "Representation of unlearning in the innovation systems: A proposal from agent-based modeling," Estudios Gerenciales, Universidad Icesi, vol. 33(145), pages 366-376, November.
    16. Tesfatsion, Leigh & Jie, Yu & Rehmann, Chris R. & Gutowski, William J., 2015. "WACCShed: A Platform for the Study of Watersheds as Dynamic Coupled Natural and Human Systems," ISU General Staff Papers 201512160800001226, Iowa State University, Department of Economics.
    17. Marcelo De Carvalho Pereira, 2014. "When Competition May Hinder Technologydiffusion: The Case Of Internet Access Services In Brazil," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 152, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    18. Baghestanian, Sascha & Walker, Todd B., 2015. "Anchoring in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 15-25.
    19. Sengupta, Abhijit & Sena, Vania, 2020. "Impact of open innovation on industries and firms – A dynamic complex systems view," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    20. Tesfatsion, Leigh, 2017. "Modeling Economic Systems as Locally-Constructive Sequential Games," ISU General Staff Papers 201702180800001022, Iowa State University, Department of Economics.
    21. Kaye-Blake, William & Schilling, Chris & Monaghan, Ross & Vibart, Ronaldo & Dennis, Samuel & Post, Elizabeth, 2019. "Quantification of environmental-economic trade-offs in nutrient management policies," Agricultural Systems, Elsevier, vol. 173(C), pages 458-468.
    22. Kyle Bahr & Masami Nakagawa, 2017. "The effect of bidirectional opinion diffusion on social license to operate," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(4), pages 1235-1245, August.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ssi:jouesi:v:7:y:2020:i:4:p:3101-3121. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Manuela Tvaronaviciene (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.