IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/127800.html
   My bibliography  Save this paper

What makes an individual inclusive of others? Development of the individual inclusiveness inventory

Author

Listed:
  • Josten, Cecily
  • Lordan, Grace

Abstract

Introduction: Collaboration and inclusion are key drivers of successful work outcomes in today’s increasingly diverse workforce. Yet, while organizational inclusion has been widely studied, less is known about what makes an individual inclusive of others at work. We define an inclusive individual as someone who actively includes others in a group, values diversity of thought and background, and fosters group performance and productivity. To address this gap, we develop and validate a new measure: the Individual Inclusiveness Inventory. Methods: Using a combined deductive and inductive approach, we generated scale items based on a review of the inclusion literature and qualitative interviews with 14 diversity and inclusion experts. We conducted exploratory factor analysis (EFA) followed by confirmatory factor analysis (CFA) on responses from two samples of working professionals in the UK. Results: The analyses revealed a two-factor solution. The first factor, Belonging and Uniqueness, captures the ability to foster a sense of belonging while valuing individuals’ distinctiveness. The second factor, Challenge and Openness, reflects openness to diverse perspectives and willingness to engage in and accept constructive challenge. Both factors demonstrated good reliability. Predictive validity analyses showed that Challenge and Openness was positively associated with all measured work outcomes, including income. Belonging and Uniqueness was positively associated with the number of people managed, perceived seniority, and happiness at work. Discussion: Our findings suggest that individual inclusiveness is multi-dimensional and differentially predictive of work outcomes. Challenge and Openness appears closely linked to productivityrelated outcomes, likely due to its association with innovation and competitiveness. Belonging and Uniqueness, while less predictive of productivity, is important for relational outcomes such as team cohesion and well-being. These insights have implications for talent development and inclusive leadership training.

Suggested Citation

  • Josten, Cecily & Lordan, Grace, 2025. "What makes an individual inclusive of others? Development of the individual inclusiveness inventory," LSE Research Online Documents on Economics 127800, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:127800
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/127800/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    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. C. Kirabo Jackson & Shanette C. Porter & John Q. Easton & Alyssa Blanchard & Sebastián Kiguel, 2020. "School Effects on Socioemotional Development, School-Based Arrests, and Educational Attainment," American Economic Review: Insights, American Economic Association, vol. 2(4), pages 491-508, December.
    2. Fabian Kosse & Thomas Deckers & Pia Pinger & Hannah Schildberg-Hörisch & Armin Falk, 2020. "The Formation of Prosociality: Causal Evidence on the Role of Social Environment," Journal of Political Economy, University of Chicago Press, vol. 128(2), pages 434-467.
    3. Böhm, Robert & Letmathe, Peter & Schinner, Matthias, 2023. "The monetary value of competencies: A novel method and case study in smart manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    4. Gabrielova, Karina & Buchko, Aaron A., 2021. "Here comes Generation Z: Millennials as managers," Business Horizons, Elsevier, vol. 64(4), pages 489-499.
    5. Gordon H. Hanson, 2021. "Immigration and Regional Specialization in AI," NBER Working Papers 28671, National Bureau of Economic Research, Inc.
    6. Marcelo Arbex & Enlinson Mattos, 2017. "Optimal Paternalistic Health and Human Capital Policies," Working Papers 1709, University of Windsor, Department of Economics.
    7. Heursen, Lea, 2023. "Does relative performance information lower group morale?," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 547-559.
    8. Calderone, Margherita & Fiala, Nathan & Melyoki, Lemayon Lemilia & Schoofs, Annekathrin & Steinacher, Rachel, 2022. "Making intense skills training work at scale: Evidence on business and labor market outcomes in Tanzania," Ruhr Economic Papers 950, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Deniz Dutz & Ingrid Huitfeldt & Santiago Lacouture & Magne Mogstad & Alexander Torgovitsky & Winnie van Dijk, 2021. "Selection in Surveys," NBER Working Papers 29549, National Bureau of Economic Research, Inc.
      • Deniz Dutz & Ingrid Huitfeldt & Santiago Lacouture & Magne Mogstad & Alexander Torgovitsky & Winnie van Dijk, 2021. "Selection in Surveys," Discussion Papers 971, Statistics Norway, Research Department.
    10. Alex Chernoff & Casey Warman, 2023. "COVID-19 and implications for automation," Applied Economics, Taylor & Francis Journals, vol. 55(17), pages 1939-1957, April.
    11. Wojciech Hardy & Roma Keister & Piotr Lewandowski, 2016. "Technology or Upskilling? Trends in the Task Composition of Jobs in Central and Eastern Europe," HKUST IEMS Working Paper Series 2016-40, HKUST Institute for Emerging Market Studies, revised Dec 2016.
    12. Randall Akee & Leah R. Clark, 2023. "Universal Preschool Lottery Admissions and Its Effects on Long-Run Earnings and Outcomes," Working Papers 23-09, Center for Economic Studies, U.S. Census Bureau.
    13. Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2020. "Anatomy of the Italian occupational structure: concentrated power and distributed knowledge," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(6), pages 1345-1379.
    14. Amanda Weinstein & Carlianne Patrick, 2020. "Recession‐proof skills, cities, and resilience in economic downturns," Journal of Regional Science, Wiley Blackwell, vol. 60(2), pages 348-373, March.
    15. Mathias Allemand & Martina Kirchberger & Sveta Milusheva & Carol Newman & Brent Roberts & Vincent Thorne, 2023. "Conscientiousness and Labor Market Returns: Evidence from a Field Experiment in West Africa," Trinity Economics Papers tep0123, Trinity College Dublin, Department of Economics.
    16. Michael J. Böhm & Hans-Martin von Gaudecker & Felix Schran, 2024. "Occupation Growth, Skill Prices, and Wage Inequality," Journal of Labor Economics, University of Chicago Press, vol. 42(1), pages 201-243.
    17. David Dorn & Florian Schoner & Moritz Seebacher & Lisa Simon & Ludger Woessmann, 2024. "Multidimensional Skills on LinkedIn Profiles: Measuring Human Capital and the Gender Skill Gap," Papers 2409.18638, arXiv.org, revised May 2025.
    18. Jeffrey L. Furman & Florenta Teodoridis, 2020. "Automation, Research Technology, and Researchers’ Trajectories: Evidence from Computer Science and Electrical Engineering," Organization Science, INFORMS, vol. 31(2), pages 330-354, March.
    19. Briole, Simon & Le Forner, Hélène & Lepinteur, Anthony, 2020. "Children’s socio-emotional skills: Is there a quantity–quality trade-off?," Labour Economics, Elsevier, vol. 64(C).
    20. Wehner, Caroline & de Grip, Andries & Pfeifer, Harald, 2022. "Do recruiters select workers with different personality traits for different tasks? A discrete choice experiment," Labour Economics, Elsevier, vol. 78(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ehl:lserod:127800. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.html .

    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.