Purpose

Neurodiversity is gaining exponential attention from scholars, leading to fragmented insights and evidence. This mapping review aims to ascertain the amount and focus of peer-reviewed research on workplace neurodiversity to identify knowledge gaps that demand further research.

Design/methodology/approach

For their relevance to business and organizational studies, Business Source Elite and ABI/INFORM databases were searched in December 2024. Based on the inclusion criteria of neurodiversity or any form of neurodiversity and work context, 834 results were screened in the following order: titles and abstracts, and full text. These resulted in 105 publications (45 non-empirical and 60 empirical) from 1996 to 2024, with most published from 2019 onwards. The sample publications were mapped against the elements of a workplace neurodiversity management framework, adapted from Khan et al. (2023), comprising creating, converting and capitalizing stages.

Findings

The findings indicate the following: the focus has been on converting and capitalizing stages except the inclusion element of converting; commonly studied forms are general neurodiversity, autism and attention-deficit/hyperactivity disorder; mixed-method studies are rare; frequently used methods are survey and interviews and data on various important elements of the framework were not collected from neurominority employees. Future research areas are highlighted.

Originality/value

This unprecedented mapping of workplace neurodiversity literature collates and catalogs the available evidence pertaining to managing neurodiversity for positive outcomes. The identified knowledge gaps and provided research direction may help foster scholarship.

Neurodiversity refers to a range of cognitive variations in humans that have been recognized in various forms, such as autism, attention-deficit/hyperactivity disorder (ADHD), dyslexia and Asperger's syndrome (Armstrong, 2015; Bewley and George, 2016). Although the umbrella term neurodiversity was introduced in the 1990s (Blume, 1998; Singer, 1998), the research on its few forms has been conducted for decades (e.g. Kanner, 1943). That body of research was driven by the social justice case for its various forms and was not directly relevant to the workplace. In the 1990s, scholars started to investigate the benefits of neurodiversity for organizations (e.g. Wyld, 1996), which gave birth to the quest for a business case for neurodiversity. It worked as a catalyst for a new wave of research on neurodiversity in the workplace context. The social justice case works as a push factor – social scientists advocating equality considerations in settings such as education, which can be extended to workplaces (Singer, 1999), while the business case operates as a pull factor – business leaders advocating economic benefits of neurodiversity (Wareham and Sonne, 2008).

Unlike other forms of workplace diversity (e.g. gender and race), workplace and employment-related research on neurodiversity has only recently gained momentum. The reasons for such slow progress include a lack of recognition of neurodiversity as a form of workplace diversity (Doyle, 2020), absence of a dedicated legislation on promoting workplace neurodiversity (Rollnik-Sadowska and Grabińska, 2024), low awareness of neurodiversity among business leaders and managers (Eagle Hill Consulting, 2024), few human resource (HR) policies and practices for attaining and managing neurodiversity (Carrero et al., 2019), rare workplace profiling of neurodiversity leading to data related challenges (Ali et al., 2024a), low urgency of incorporating neurodiversity into workplace diversity (Paterson and Charles, 2021), rare disclosure of a neurodivergent condition on the part of neurodivergent (also known as neurominority) employees for the fear of stigma and discrimination (Waisman-Nitzan et al., 2021) and hesitation of employers to hire neurominorities for avoiding costs associated with training employees and supervisors (Bury et al., 2020).

The growing but fragmented state of the research on workplace neurodiversity demands a mapping review, collating and cataloging of the available evidence for fostering scholarship. A mapping review provides a comprehensive overview of a broad (neurodiversity) and complex (various forms) field, identifies gaps and guides future research (Booth et al., 2016; Grant and Booth, 2009). It is different from a scoping review, which often investigates definitions, concepts and key characteristics of a phenomenon or concept, scoping existing evidence to determine whether a systematic literature review is feasible (Grant and Booth, 2009). A scoping review focuses on what is known about a field, culminating in a narrative summary, whereas a mapping review aims at identifying gaps using visual frameworks and provides future research directions (Miake-Lye et al., 2016). The specific research questions for this review are: What non-empirical and empirical research on workplace neurodiversity exists? What has been the focus of such research and what knowledge gaps persist that require further scholarly inquiry? It identifies and maps evidence using visual summaries. An adapted theoretical framework for managing neurodiversity (Khan et al., 2023) provides high-level codes for mapping the focus of non-empirical and empirical research, including forms of neurodiversity, design, methods and research settings. It contributes to the workplace diversity and inclusion field, synthesizing evidence and highlighting the need for addressing knowledge gaps.

Managing workplace neurodiversity for positive outcomes is a complex process. Khan et al.’s (2023) framework was adapted to create a comprehensive end-to-end process model of managing neurodiversity (see Figure 1). This adapted framework, comprising creating, converting and capitalizing stages, provides a detailed set of elements of neurodiversity management that this review uses to map the current literature. The three stages help summarize the review findings.

Figure 1
A diagram shows relationships among antecedents, practices, workplace elements, and outcomes in neurodiversity management.The diagram shows ten labeled text boxes and a text arranged in three horizontal rows, illustrating the “Neurodiversity management framework.” The “Neurodiversity management framework” comprises three stages labeled at the bottom from left to right as follows: “Creating,” “Converting,” and “Capitalizing.” Above this, the text boxes and the text arranged in three rows are labeled from left to right as follows: Bottom row: “B - Challenges and Opportunities Pertaining to Antecedents,” “D - Challenges and Opportunities Pertaining to Recruitment and Selection,” and “G - Challenges and Opportunities Pertaining to Developing and Engaging Practices and Inclusion.” Middle row: “A - Antecedents” with sublabels “Leadership and N D employment programs (elements and benefits),” “C - Recruitment and Selection Practices” with sublabels “Resource Practices, Accountability Practices, and Accommodations,” “E - Neurodiverse Workplace” with sublabels “Form(s), Benefits, Experiences, and Self-concept,” “H - Neurodiverse Inclusive Workplace” with sublabel “Inclusion experiences,” and “J - Behaviors or Processes and Outcomes” with sublabels “Employee and Organizational.” Top row: A text labeled “K - Environment” with sublabels “External and Organizational,” “F - Developing and Engaging Practices” with sublabels “Resource Practices, Accountability Practices, and Accommodations,” and “I - Supervisors and Co-workers” with sublabels “Attitudes, Behaviors, Challenges, and Support.” All text boxes in the middle row are connected by right-pointing arrows: from “A” to “C,” from “C” to “E,” from “E” to “H,” and from “H” to “J.” Text boxes “A,” “B,” “C,” “D,” “E,” and “F” belong to the “Creating” stage; text boxes “G,” “E,” “H,” and “F” belong to the “Converting” stage; and text boxes “H,” “I,” and “J” belong to the “Capitalizing” stage. An upward arrow from “B” points to the arrow connecting “A” to “C.” An upward arrow from “D” points to the arrow connecting “C” to “E.” An upward arrow from “G” points to the arrow connecting “E” to “H.” A downward diagonal right-pointing arrow from “F” connects to “H.” A downward arrow from “I” points to the arrow connecting “H” to “J.” An upward arrow from the arrow “E” to “H” points to the arrow connecting “F” to “H.”

Neurodiversity management framework adapted from Khan et al. (2023). Source: Author’s own work

Figure 1
A diagram shows relationships among antecedents, practices, workplace elements, and outcomes in neurodiversity management.The diagram shows ten labeled text boxes and a text arranged in three horizontal rows, illustrating the “Neurodiversity management framework.” The “Neurodiversity management framework” comprises three stages labeled at the bottom from left to right as follows: “Creating,” “Converting,” and “Capitalizing.” Above this, the text boxes and the text arranged in three rows are labeled from left to right as follows: Bottom row: “B - Challenges and Opportunities Pertaining to Antecedents,” “D - Challenges and Opportunities Pertaining to Recruitment and Selection,” and “G - Challenges and Opportunities Pertaining to Developing and Engaging Practices and Inclusion.” Middle row: “A - Antecedents” with sublabels “Leadership and N D employment programs (elements and benefits),” “C - Recruitment and Selection Practices” with sublabels “Resource Practices, Accountability Practices, and Accommodations,” “E - Neurodiverse Workplace” with sublabels “Form(s), Benefits, Experiences, and Self-concept,” “H - Neurodiverse Inclusive Workplace” with sublabel “Inclusion experiences,” and “J - Behaviors or Processes and Outcomes” with sublabels “Employee and Organizational.” Top row: A text labeled “K - Environment” with sublabels “External and Organizational,” “F - Developing and Engaging Practices” with sublabels “Resource Practices, Accountability Practices, and Accommodations,” and “I - Supervisors and Co-workers” with sublabels “Attitudes, Behaviors, Challenges, and Support.” All text boxes in the middle row are connected by right-pointing arrows: from “A” to “C,” from “C” to “E,” from “E” to “H,” and from “H” to “J.” Text boxes “A,” “B,” “C,” “D,” “E,” and “F” belong to the “Creating” stage; text boxes “G,” “E,” “H,” and “F” belong to the “Converting” stage; and text boxes “H,” “I,” and “J” belong to the “Capitalizing” stage. An upward arrow from “B” points to the arrow connecting “A” to “C.” An upward arrow from “D” points to the arrow connecting “C” to “E.” An upward arrow from “G” points to the arrow connecting “E” to “H.” A downward diagonal right-pointing arrow from “F” connects to “H.” A downward arrow from “I” points to the arrow connecting “H” to “J.” An upward arrow from the arrow “E” to “H” points to the arrow connecting “F” to “H.”

Neurodiversity management framework adapted from Khan et al. (2023). Source: Author’s own work

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Creating a neurodiverse workplace is the first stage in neurodiversity management. The process starts with antecedents (denoted as A in the figure) of neurodiversity recruitment and selection practices. They include leadership and neurodiversity employment programs (e.g. Drader-Mazza et al., 2024; Remington and Pellicano, 2019). The literature in this area discusses or investigates the role of leadership and employment programs (including benefits of these programs) in promoting recruitment and selection practices for neurodivergent persons. Challenges and opportunities pertaining to antecedents (B) can influence the effectiveness of antecedents (A) in determining recruitment and selection practices (C). Examples include competing demands for resources, low organizational support and lack of leadership commitment to employment programs (e.g. Lup and Canonico, 2024; Spoor et al., 2022).

The recruitment and selection practices comprise resource practices, accountability practices and accommodations (Leslie, 2019). The resource practices are neurodiversity-conscious practices, such as advertising jobs in neurodiversity magazines or on the websites of neurodiversity associations, which aim at proactive hiring of neurodivergent individuals (Austin and Pisano, 2017). The accountability practices assign responsibility to supervisors, mangers and leaders and set neurodiversity goals (Armstrong et al., 2022). Accommodations include enhancing accessibility of interview facilities, openness for restructuring jobs, allowing flexible interview schedule and modifying equipment for meeting diverse needs of neurodivergent job applicants (Waisman-Nitzan et al., 2021). Neurodiversity recruitment and selection practices signal a commitment to neurodiversity, which helps attract a pool of neurodivergent job applicants who feel valued by the organization and neurotypical job applicants who appreciate positive actions of the organization (Bergh et al., 2014; Connelly et al., 2011; Spence, 1973). The effectiveness of neurodiversity recruitment and selection practices in creating a neurodiverse workplace (E) is influenced by challenges and opportunities pertaining to recruitment and selection (D). They include sensory and cognitive stressors, communication challenges and the employer's perspective on reasonable recruitment and selection accommodations (e.g. Ezerins et al., 2024; Waisman-Nitzan et al., 2019).

Creating a neurodiverse workplace merely partially achieves the ultimate objective of achieving positive outcomes for employees and the organization. Developing and engaging practices (F) and addressing challenges and opportunities pertaining to developing and engaging practices and inclusion (G) help convert a neurodiverse workplace into a neurodiverse inclusive workplace (H). Developing and engaging practices comprise resource practices, accountability practices and accommodations (Leslie, 2019). The resource practices proactively develop and engage neurodivergent employees through additional and tailored training and mentoring (Scott et al., 2021). The accountability practices hold supervisors, managers and leaders responsible for the development and engagement of neurodivergent employees (Armstrong and Remington, 2022). Accommodations refer to tailored training and development plans, accessible training and development facilities and materials, flexible schedules and adaptive assessment (Waisman-Nitzan et al., 2021). Challenges and opportunities pertaining to developing and engaging practices and inclusion include lack of disclosure from employees, low understanding of supervisors and colleagues and fast-paced work (e.g. Ali et al., 2024a; Patton, 2019). A neurodiverse inclusive workplace ensures shared perception of belonging to the organization and the organization valuing their uniqueness (Nishii, 2013; Roberson, 2025) among neurodiverse employees (e.g. Annabi and Locke, 2019; Bölte et al., 2024; Walkowiak, 2021).

Supervisors and co-workers (I) play an extremely important role in capitalizing on an inclusive neurodiverse workforce. This literature encompasses attitudes and behaviors of supervisors and co-workers, challenges they face and support they can provide to neurodivergent employees (e.g. Ali et al., 2024a; Efeoglu and Kilincarslan, 2024; Whelpley and Woznyj, 2023). A neurodiverse inclusive workplace, with an influence of supervisors and co-workers, leads to positive behaviors, processes and outcomes (J) for employees and the organizations (e.g. Ali et al., 2024b; van Rijswijk et al., 2024b; Yu et al., 2021), as per the value-in-diversity perspective (Cox and Balke, 1991). The three stages of creating, converting and capitalizing occur in an external and organizational environment (K), including national context and technological environment (e.g. Erbil et al., 2024; Walkowiak, 2021).

Mapping reviews are different from scoping reviews, as unlike scoping reviews, which focus on the scope of knowledge, a mapping review categorizes or maps knowledge in an area to identify knowledge gaps and areas for further research (White et al., 2020). A systematic mapping review was undertaken to explore scholarly (non-empirical) and research (empirical) publications on neurodiversity in the workplace. As academic research on neurodiversity in the workplace is scarce, any peer-reviewed work in English with no date restriction was searched. The following eligibility criteria were used: Neurodiversity or any form of neurodiversity and workplace context. The exclusion criterion was neurodiversity in the non-workplace context, such as education. Given a focus on the workplace, the Business Source Elite and ABI/INFORM databases were searched in December 2024 using the search strings noted in Table 1. The Business Source Elite provides comprehensive coverage of academic journals in all disciplines of business, while ABI/INFORM is a premier business database with wide coverage of business and management journals (EBSCO, 2025; ProQuest, 2025). Using these two databases mitigated the risk of missing a key study on neurodiversity.

Table 1

Search sets and keywords

Search setsKeywordsSection
ANeurodiversity OR neurodiverse OR neurodivergent OR neurodivergence OR adhd OR “attention deficit hyperactivity disorder” OR “attention deficit-hyperactivity disorder” OR “attention deficit disorder” OR autism OR autistic OR asd OR “autism spectrum disorder” OR asc OR “autism spectrum conditions” OR dyscalculia OR dyslexia OR dyspraxia OR tourette OR tourette's OR dcd OR “developmental coordination disorder” OR ocd or “obsessive-compulsive disorder” OR asperger OR neurominorities OR neuromajorities OR neurominority OR neuromajorityAbstract
 AND 
BTeam OR teamwork OR “team work” OR group OR groupwork OR “group work” or work or workplace or industry or industries or organisation or organization or organisational or organizational or firm or department or departmental or unit or leadership or “top management team” or “top management” or executive or manager or management or supervisor or dyad or colleague or co-worker or coworkerAbstract
 NOT 
CSchool or child or teaching or classroom or “education system” or student or students or music or media or adolescence or adolescent or young or youth or teen or friend or partner or sexualAbstract
FiltersPeer review and English 
Source(s): Author’s own work

Figure 2 presents the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram. It indicates that of 1,370 records identified through Business Source Elite (784) and ABI/INFORM (586), 536 records were removed due to duplicate entries, leading to 834 records considered for screening against the inclusion and exclusion criteria. The screening of the titles and abstract of 834 publications excluded 718 records. Subsequently, the remaining 116 publications were screened, which resulted in a final sample of 105 papers comprising 45 non-empirical publications and 60 empirical studies.

Figure 2
A flowchart shows identification, screening, and inclusion stages of studies with corresponding sample numbers.The flowchart is titled “Identification of publications via databases,” and comprises three stages labeled on the left from top to bottom as follows: “Identification,” “Screening,” and “Included.” In the “Identification” stage, a text box on the left is labeled “Records identified from: Business Source Elite (n equals 784) and A B I or I N F O R M (n equals 586).” A right-pointing arrow leads to a text box labeled “Records removed before screening: Duplicate records removed within each source – Business Source Elite (n equals 13) and A B I or I N F O R M (n equals 6); Duplicate records removed across the two sources (n equals 517).” A downward arrow leads from the first box to “Records screened for titles or abstract asterisk (n equals 834),” with a right-pointing arrow leading to “Records excluded (n equals 718)” in the “Screening” stage. A downward arrow leads to “Records screened for full text asterisk (n equals 116),” with a right-pointing arrow leading to “Records excluded (n equals 11).” A downward arrow connects to “Final sample (n equals 105).” A downward arrow leads to the last text box labeled “Publications included in review (n equals 105): Non-Empirical (45) and Empirical (60)” in the “Included” stage.

PRISMA flow diagram. * Against inclusion and exclusion criteria. Source: Author’s own work

Figure 2
A flowchart shows identification, screening, and inclusion stages of studies with corresponding sample numbers.The flowchart is titled “Identification of publications via databases,” and comprises three stages labeled on the left from top to bottom as follows: “Identification,” “Screening,” and “Included.” In the “Identification” stage, a text box on the left is labeled “Records identified from: Business Source Elite (n equals 784) and A B I or I N F O R M (n equals 586).” A right-pointing arrow leads to a text box labeled “Records removed before screening: Duplicate records removed within each source – Business Source Elite (n equals 13) and A B I or I N F O R M (n equals 6); Duplicate records removed across the two sources (n equals 517).” A downward arrow leads from the first box to “Records screened for titles or abstract asterisk (n equals 834),” with a right-pointing arrow leading to “Records excluded (n equals 718)” in the “Screening” stage. A downward arrow leads to “Records screened for full text asterisk (n equals 116),” with a right-pointing arrow leading to “Records excluded (n equals 11).” A downward arrow connects to “Final sample (n equals 105).” A downward arrow leads to the last text box labeled “Publications included in review (n equals 105): Non-Empirical (45) and Empirical (60)” in the “Included” stage.

PRISMA flow diagram. * Against inclusion and exclusion criteria. Source: Author’s own work

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The final sample of 105 records (45 non-empirical and 60 empirical) were published between 1996 and 2024 (see Figure 3). The figure indicates a significant increase in the number of publications since 2019, especially in empirical studies, which can be partly attributed to special issues on neurodiversity from management and HR management journals.

Figure 3
A vertical bar chart shows the number of non-empirical and empirical publications by year from 1996 to 2024.The vertical axis ranges from 0 to 24 in increments of 4 units. The horizontal axis is marked with years and spans from 1996 to 2024 in increments of 1 year. Each year has up to two bars. A legend at the bottom indicates that the first bar represents “Non-Empirical Publications” and the second bar represents “Empirical Publications.” The data for the bars from left to right are as follows: 1996: Non-Empirical Publications: 1; Empirical Publications: 0. 1997: Non-Empirical Publications: 0; Empirical Publications: 0. 1998: Non-Empirical Publications: 0; Empirical Publications: 0. 1999: Non-Empirical Publications: 0; Empirical Publications: 0. 2000: Non-Empirical Publications: 1; Empirical Publications: 0. 2001: Non-Empirical Publications: 0; Empirical Publications: 0. 2002: Non-Empirical Publications: 0; Empirical Publications: 0. 2003: Non-Empirical Publications: 1; Empirical Publications: 1. 2004: Non-Empirical Publications: 0; Empirical Publications: 0. 2005: Non-Empirical Publications: 0; Empirical Publications: 0. 2006: Non-Empirical Publications: 0; Empirical Publications: 0. 2007: Non-Empirical Publications: 0; Empirical Publications: 0. 2008: Non-Empirical Publications: 0; Empirical Publications: 0. 2009: Non-Empirical Publications: 1; Empirical Publications: 0. 2010: Non-Empirical Publications: 0; Empirical Publications: 0. 2011: Non-Empirical Publications: 3; Empirical Publications: 0. 2012: Non-Empirical Publications: 2; Empirical Publications: 1. 2013: Non-Empirical Publications: 0; Empirical Publications: 0. 2014: Non-Empirical Publications: 2; Empirical Publications: 0. 2015: Non-Empirical Publications: 0; Empirical Publications: 2. 2016: Non-Empirical Publications: 0; Empirical Publications: 3. 2017: Non-Empirical Publications: 1; Empirical Publications: 0. 2018: Non-Empirical Publications: 0; Empirical Publications: 0. 2019: Non-Empirical Publications: 4; Empirical Publications: 6. 2020: Non-Empirical Publications: 0; Empirical Publications: 2. 2021: Non-Empirical Publications: 4; Empirical Publications: 6. 2022: Non-Empirical Publications: 5; Empirical Publications: 2. 2023: Non-Empirical Publications: 9; Empirical Publications: 14. 2024: Non-Empirical Publications: 11; Empirical Publications: 23.

Bar graph of number of publications. Source: Author’s own work

Figure 3
A vertical bar chart shows the number of non-empirical and empirical publications by year from 1996 to 2024.The vertical axis ranges from 0 to 24 in increments of 4 units. The horizontal axis is marked with years and spans from 1996 to 2024 in increments of 1 year. Each year has up to two bars. A legend at the bottom indicates that the first bar represents “Non-Empirical Publications” and the second bar represents “Empirical Publications.” The data for the bars from left to right are as follows: 1996: Non-Empirical Publications: 1; Empirical Publications: 0. 1997: Non-Empirical Publications: 0; Empirical Publications: 0. 1998: Non-Empirical Publications: 0; Empirical Publications: 0. 1999: Non-Empirical Publications: 0; Empirical Publications: 0. 2000: Non-Empirical Publications: 1; Empirical Publications: 0. 2001: Non-Empirical Publications: 0; Empirical Publications: 0. 2002: Non-Empirical Publications: 0; Empirical Publications: 0. 2003: Non-Empirical Publications: 1; Empirical Publications: 1. 2004: Non-Empirical Publications: 0; Empirical Publications: 0. 2005: Non-Empirical Publications: 0; Empirical Publications: 0. 2006: Non-Empirical Publications: 0; Empirical Publications: 0. 2007: Non-Empirical Publications: 0; Empirical Publications: 0. 2008: Non-Empirical Publications: 0; Empirical Publications: 0. 2009: Non-Empirical Publications: 1; Empirical Publications: 0. 2010: Non-Empirical Publications: 0; Empirical Publications: 0. 2011: Non-Empirical Publications: 3; Empirical Publications: 0. 2012: Non-Empirical Publications: 2; Empirical Publications: 1. 2013: Non-Empirical Publications: 0; Empirical Publications: 0. 2014: Non-Empirical Publications: 2; Empirical Publications: 0. 2015: Non-Empirical Publications: 0; Empirical Publications: 2. 2016: Non-Empirical Publications: 0; Empirical Publications: 3. 2017: Non-Empirical Publications: 1; Empirical Publications: 0. 2018: Non-Empirical Publications: 0; Empirical Publications: 0. 2019: Non-Empirical Publications: 4; Empirical Publications: 6. 2020: Non-Empirical Publications: 0; Empirical Publications: 2. 2021: Non-Empirical Publications: 4; Empirical Publications: 6. 2022: Non-Empirical Publications: 5; Empirical Publications: 2. 2023: Non-Empirical Publications: 9; Empirical Publications: 14. 2024: Non-Empirical Publications: 11; Empirical Publications: 23.

Bar graph of number of publications. Source: Author’s own work

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Given the different nature of non-empirical and empirical work, the 105 sample publications were coded differently for their characteristics, mapping against the adapted neurodiversity management framework from Khan et al. (2023) presented in Figure 1. Non-empirical publications were coded for neurodiversity form(s) and framework elements (see Table 2), while empirical studies were coded for neurodiversity form(s), quant, qual or mixed, methods, industry, country, sample, sample category (neurotypical or neurodivergent or both) and framework elements (see Table 3). These codings helped to understand the different elements of the two bodies of literature and how they mapped against the adapted neurodiversity management framework.

Table 2

Coding of non-empirical publications

AuthorsaNeurodiversity form(s)Framework elements (see Figure 1)
Annabi and Locke (2019) AutismB, G, H, I
Antony et al. (2024) NeurodiversityD, F
Benford and Standen (2011) AutismK
Bölte et al. (2024) Neurodiversity, autism and ADHDD, E, F, G, H, J
Coleman et al. (2000) ADHDK
Cox et al. (2024) NeurodiversityF
Dobusch (2021) AutismH
Doyle and McDowall (2022) Autism, ADHD, dyslexia, dyspraxia (DCD) and Tourette syndromeH
Ezerins et al. (2024) AutismB, D, G, J
Fiori-Khayat (2023) AutismF, J
Harvey et al. (2011) OCDE, I
Hayek and Harvey (2012) ADHDE, J
Hennekam and Follmer (2024) NeurodiversityC, F
Hill (2014) AutismC, F, E
Holwerda et al. (2012) AutismA
Houdek (2022) Neurodiversity and toxoplasmosisE, K
Johnson and Joshi (2014) AutismG
Kalmanovich-Cohen and Stanton (2023) NeurodiversityF, G
Katz (2003) ADHDG, F
Khan et al. (2023) NeurodiversityC, D, E, F, G, H, I, J
Kidwell et al. (2023) NeurodiversityG
Krzeminska et al. (2019) NeurodiversityB, E
LeFevre-Levy et al. (2023) NeurodiversityA
Longmire et al. (2024) AutismG, I
Mellifont (2022) NeurodiversityK
Patton (2009) ADHDG, I
Patton (2019) AutismE, F, G, I, J
Praslova et al. (2023) NeurodiversityH
Rao and Polepeddi (2019) NeurodiversityA, C, E, F, H
Richard (2023) NeurodiversityA
Robbins (2017) ADHDE, H, J
Roberson et al. (2021) NeurodiversityE, J, K
Sidle (2011) Personality disorders (OCD and histrionic personality)I
Silver et al. (2023) NeurodiversityH, J
Southey et al. (2024) AutismE, I
Szulc (2021) NeurodiversityC, E, F, J
Szulc (2022) NeurodiversityF, G
Szulc (2024) AutismF
van Rijswijk et al. (2024a) NeurodiversityJ
Weber et al. (2024) Autism, ADHD, dyslexia, DCD, dyscalculia, dysgraphia, Tourette syndrome and othersF
Wegmeyer and Speer (2023) NeurodiversityC
Whelpley and Perrault (2021) AutismA, E, J, K
Wyld (1996) ADHDG, I
Yan et al. (2024) AutismD
Zivkovic (2004) AutismK

Note(s):

a

See the reference list for the publication details

Source(s): Author’s own work
Table 3

Coding of empirical studies

AuthorsaNeurodiversity form(s)Quant, Qual or MixedMethodsIndustryCountrySampleSample categorybFramework elements (see Figure 1)
Ahmann et al. (2021) ADHDQualFocus groupHealthcare (coaching)USAADHD coachesNTK
Ali et al. (2024a) NeurodiversityQuantSurveyRetailAustralia502 responses: 241 supervisors and 261 co-workersNTE, F, G, I
Ali et al. (2024b) NeurodiversityQuantSurveyRetailAustralia502 supervisors and employees of retail organizationsNTF, I, J
Allen et al. (2023) NeurodiversityMixedSurvey and semi-structured interviewsMilitary veteransUK232 surveys and 21 semi-structured interviews of people with a medically diagnosed condition (neurodiverse veteran)NDD, E, G
Artamoshina et al. (2023) ADHDQuantSurveyN/ARussia367 CEOs from small and medium-sized enterprises (SMEs)BothE, J
Basto and Cepellos (2023) AutismQualSemi-structured interviewsN/ABrazil6 executives from national and foreign companies that hire professionals with autistic spectrum disorders (ASD)NTF, G
Blondel et al. (2024) ADHDQualSemi-structured interviewsNot specifiedFrance, Germany, Australia, Belgium, Switzerland, USA and Canada26 working individuals with ADHDNDE, J
Branicki et al. (2024) NeurodiversityQuantSurveyAcross industriesUKOver 25,000 neurodivergent and neurotypical people is the UK large household-based survey titled Labour Force SurveyBothE, F, J
Brouwers et al. (2024) AutismQualFocus groupAcross industriesNetherlands64 autistic adults with and without paid (competitive) employmentNDJ
Camden et al. (2024) NeurodiversityQuantCognitive ability assessmentsN/AGlobalNearly 500.000 (Study 1: 139,737/Study 2: 308,361/Study 3: 42,375). Participants were recruited from a website hosted by a global talent assessment provider where job candidates can complete practice tests similar to the assessments that their prospective employers may administerBothC
Comer et al. (2023) AutismQuantExperimentN/AUSA314 participants through ProlificNDC
Crook and McDowall (2024) ADHDQualSemi-structured interviewsAcross industriesUSA, UK and others not specified17 professionals with ADHD (two academics, two sales professionals, two creative directors/business owners, two charity workers, two teachers, a social entrepreneur, an artist, a police inspector, a journalist, a project manager, a property developer and a healthcare professional)NDE, J
Doyle and Bradley (2023) NeurodiversityQuantIndependent ratings of work performance/coaching interventionService sector, office-based and private sector, civil service-based roles, technology, finance and healthUK409 coachees clients of a non-profit company who had provided complete pairs of performance self-evaluation ratings before and after coachingNDF
Doyle and McDowell (2015) DyslexiaQuantIndependent ratings of work performance/coaching interventionAcross industriesUK95 dyslexic coachees and 41 line-managersBothF
Drader-Mazza et al. (2024) AutismQualStructured interviews and qualitative surveyFinancial services industry and multinational third-party service provider specializing in autistic and other neurodivergent talent acquisition servicesUSA, Iraq, IranInterviews with 2 coaches, 1 business lead, 3 autistic job candidates and 7 hiring and 4 job coaches
46 qualitative surveys from autistic job candidates
BothA, C
Efeoglu and Kilincarslan (2024) AutismQualSemi-structured interviewsInternational company's dairy production facilityTurkey23 people who were the co-workers, managers and parents of workers with AIDNTF, I
Erbil et al. (2024) NeurodiversityQualQualitative surveyEducation, legal, healthcare, hospitality, retail, stationery, software, HR, military, tourism, aviation, transport, consulting and auditingTurkey20 human resource professionalsNTG, K
Estival et al. (2024) AutismMixedSurveys and interviews and focus groupSeven disability employment servicesFranceStep 1 include 11 workers or job seekers with disabilities who were young adults or adults with ASD, with or without associated intellectual disability and 15 professionals from the disability employment services. Step 2: 12 workers or job seekers with disabilitiesBothF
Farkas et al. (2020) AutismMixedSurvey and focus groupEmployment services and various sectors (e.g. customer service, retail, catering and administration)N/A24 autistic jobseekers and 2 disability employment advisorsBothF
Goldberg and Willham (2024) AutismMixedFocus group and experimentNot specifiedUSAA focus group with 16 participants on the subreddit, r/Autistic Liberation
388 autistic job seekers
NDD
Hall et al. (2016) AutismQualSemi-structured interviewsAutism care organizationUK7 participants working within the organization (5 staff undergoing training to deliver video interaction guidance; 2 senior managers influencing coordination of training)NTK
Iqbal et al. (2024) NeurodiversityQuantSurveyThe oil/gas, service, construction, manufacturing and telecommunication industriesGulf Cooperation Council region (i.e. Saudi Arabia, United Arab Emirates, Oman)215 neurodiverse employees of multinational companiesNDI, J
Jiles et al. (2024) NeurodiversityQualInterview and qualitative surveyAccounting professionUSA23 neurodivergent accountantsNDF, G, J
Katz et al. (2015) AutismQuantSurveyA center provides housing, employment and educational services for people with special needs.
Restaurants and shops, libraries, computer jobs, etc.
Israel26 participants with high functioning autism spectrum disorders (The sample also includes 26 team members who are health professionals who accompany and support the participants in the transition to their jobs. These team members were not mentioned clearly in the sample, but one of the measures have to be filled by both the autistic employee and his/her team memberBothA, J
Kersten et al. (2024) NeurodiversityQualInterviewSTEM sectors, the financial and professional services sectorsNetherlands30 participants: HRM professionals (n = 15), supervisors of neurodivergent employees (n = 4) and neurodivergent employees (n = 11)BothF, I
Lanivich et al. (2024) ADHDQuantSurveyAcross industriesUSA581 entrepreneursBothE, J
Lup and Canonico (2024) AutismMixedExperiment (surveys, vignettes and open-ended questions)General working population with no specific industry but uses accounting as the context for the vignette presented to participantsUK268 participants (quantitative); 260 participants (qualitative analysis). Participants are working individuals recruited via a university-affiliated panelNTB
Macdonald and Cosgrove (2019) DyslexiaQuantSurveyPoliceUK56 police employees previously diagnosed with dyslexiaNDG
McIntosh et al. (2023) ADHDQuantSurveyN/AN/A166 working adults who have ADHDNDG, J
Mellifont (2020) NeurodiversityQualSecondary dataN/AAustralia, Canada and England8 guides to help prevent or treat the bullying of neurodiverse employeesOther sourcesF
Orhan et al. (2024) ADHDQuantStructured interviewsHeavy and light industry, construction and service sectorsTurkey205 patients (Employees involved in workplace accidents presenting to the Emergency Department, aged 18 years and older, with full cognitive function)BothE, J
Özsoy and Balaban (2024) Obsessive-compulsive disorder (OCD)QuantSurveyMultiple industries from public and private sector organizationsTurkey771 white-collar employeesBothE, J
Priscott and Allen (2021) NeurodiversityQualExercises and semi-structured interviewsGovernment organizationUK97 participants
Study 1: 53 participants from middle and senior management
Study 2: 44 participants middle management
BothG
Rampton et al. (2023) AutismQuantSurveyFinancial organizations, information technology, logistics and medical-support endeavorsCanada80 autistic managers and employeesNDE, F, J
Remington and Pellicano (2019) AutismQualSemi-structured interviewsBankingUK36 participants interns, their hiring managers and the colleagues who worked alongside themBothA, J
Richards (2012) Asperger syndromeQualSecondary dataNot specifiedUKData used in this paper comes from two sources – a national report on the broader needs of adults with Asperger syndrome by Edmonds and Beardon (2008) and the findings from a similar study by Hendrickx (2010) Other sourcesG
Richards and Sang (2016) ADHD, dyslexia, DCD (dyspraxia), dyscalculia and Asperger syndromeQualFocus groups and semi-structured interviewsTransportUKFocus group with 44 Technical Standards and Safety Authority (TSSA) members and semi-structured interviews with 22 neurologically impaired employees, 4 neurodiversity champions and 2 TSSA organizersBothA, F
Richards et al. (2019) Autism, ADHD, dyslexia, DCD (dyspraxia) and Asperger syndromeQualInterviewsTransportUK28 line-managers of neurodivergent employeesNTI
Richardson et al. (2019) AutismQualSurveys and interviewsDry cleaning, multiple sites (cleaning company), grocery store, bookstore, butcher shop and gift shopUSA21 participants. 7 individuals with ASD, their parents and their employer but not clearly identified how many parents and employersBothD
Sander-Williams (2024) ADHDQualSemi-structured interviewsN/AUK3 women aged 40 and above with late ADHD diagnosesNDK
Sang et al. (2016) ADHD, dyslexia, DCD (dyspraxia), dyscalculia and Asperger syndromeQualFocus groups and semi-structured interviewsTransport industryUKseven focus groups (n = 44) and interviews with neurologically impaired professional transport employees (n = 22)BothE
Seemab and Faisal (2024) ADHDQuantSurveyBanking, manufacturing, education and service sectorsPakistan259 employees from a few public and private institutesBothE, J
Smith-Spark et al. (2022) DyslexiaQuantExperimentNot providedUK8 adults with dyslexia and 27 adults without dyslexia who are university studentsBothE, J
Spoor et al. (2022) AutismQuantSurveyPublic sectorAustralia229 employees from two Australian public sector organizationsNTB, I
Stappers and Andries (2024) ADHDQuantSurveyAcross industriesBelgium543 founders and their start-upsBothE, J
Szulc et al. (2023) NeurodiversityQualSemi-structured interviewsConstruction, oil, education, healthcare and business consultingN/A11 semi-structured interviews with 9 neurodivergent managers and employees and 2 business professionals supportive of neurodiversityBothE
Tomczak (2021) AutismQualInterviewsEducation and support servicesPoland11 experts (10 women and one man) who professionally handle education and care for people with ASDNTF
Tomczak (2022) AutismQualInterviewsSchools, therapy and support companiesPoland, Spain, Australia and Canada21 individuals with expertise in the field. specialized support staff, CEO of a company supporting and providing vocational training and recruitment for individuals with autism, CEOs and managers of companies employing individuals with autism, job trainers/consultants and a parent of an adult job seeker with autismBoth (1 ND)F, J
van den Bosch et al. (2019) AutismQualSemi-structured interviewsSelf-advocacy organizationNetherlands8 autistic people who were involved with autism self-advocacy organizations in the period 1999–2014NDG
van Rijswijk et al. (2024b) NeurodiversityQuantSurveyHealthcare, banking, pensions and insurance, IT, construction industry, employee recruitment and educationNetherlands357 group members (from which 43 reported being officially diagnosed with neurodivergence) nested in 70 organizational groups in 19 Dutch organizationsBothE, J
Waisman-Nitzan et al. (2019) AutismQualInterviewsEmployment servicesIsrael11 employers of individuals with ASD from the open labor marketNTD, G
Walkowiak (2021) AutismQualSemi-structured interviewsAcross industriesUSA, Australia, Canada16 leaders or experts of neurodiversity initiativesNTH, K
Walkowiak (2024) NeurodiversityQualSemi-structured interviewsIT, banking, accounting, social enterprise, charity, disability service and academiaAustralia, USA and Canada16 participants who have leadership role in neurodiversity initiativesNTF
Watts (2024) AutismQualSemi-structured interviewsN/AUK5 autistic womenNDF, G
Wen et al. (2023) AutismQualSemi-structured interviewsAcross industriesAustralia14 Australian employers and 9 professional expertsNTG
Whelpley et al. (2021) AutismQualQualitative surveyAcross industriesUSA65 individuals being diagnosed as autistic and have an employment history and 26 managersBothD, G, I
Whelpley and Woznyj (2023) AutismQualQualitative surveyAcross industries55 autistic employees
39 managers of autistic employees
BothI
Wiater and Bartak (2023) NeurodiversityQuantSurveyWater supply and sewagePoland51 managersNTD, E
Williams et al. (2024) AutismQualSemi-structured interviewsN/AN/A11 (7) autistic leaders and (4) allistic leaders who work with autistic individualsBothE, F, G
Yu et al. (2021) ADHDQuantSurveyStudy 1: across industries
Study 2: wine industry
USA and SpainStudy 1: 222 entrepreneurs
Study 2: 122 entrepreneurs in the Spanish wine industry
BothE, J

Note(s):

a

See the reference list for the publication details;

b

NT refers to neurotypical and ND refers to neurodivergent

Source(s): Author’s own work

Bubble plots are highly effective in mapping reviews for visually synthesizing and conveying complex multidimensional data, such as forms of diversity and methodological approaches mapped against a framework (Gough et al., 2017). These visual representations allow scholars to intuitively present key characteristics of the evidence and knowledge gaps, facilitating insight and interpretation for the reader (James et al., 2021). Thus, bubble plots were prepared for both non-empirical publications (see Figure 4) and empirical studies (see Figure 5), mapping their characteristics and focus (synthesis of the last columns of Tables 2 and 3) against the elements of the neurodiversity management framework from Figure 1. For instance, a synthesis of Table 2 presented in Figure 4 in the form of a bubble plot indicates that five publications (see the top bubble of the “focus” column) focused on the A element (antecedents of recruitment and selection practices) of Figure 1 framework. In other words, “A” appeared five times in the last column of Table 2, which indicates that 5 non-empirical publications (out of 45 in our final sample) discussed antecedents of recruitment and selection practices. Similarly, forms of diversity have been mapped against the elements of Figure 1 framework. Figure 5 illustrates this mapping of Table 3 elements against Figure 1 elements.

Figure 4
A bubble chart shows topic and year distributions for categories labeled A to K.The bubble chart illustrates topic and year distributions for categories labeled A through K. The vertical axis on the right lists categories from A at the top to K at the bottom, while the horizontal axis displays the columns labeled “Focus,” “Neurodiversity,” “Autism,” “A D H D,” “Dyslexia,” “Y 2020 negative,” “Y 2021 positive,” and “Q 1” from left to right. Each circle represents the count for a given category and topic, with larger circles indicating higher values. In the Focus column, values range from 3 to 15, with the largest circles appearing for rows F, E, and G, showing counts of 15, 14, and 13, respectively, and arranged from top to bottom as 5, 3, 6, 5, 14, 15, 13, 9, 9, 12, and 7 through categories A to K, respectively. The Neurodiversity column has values from top to bottom as 3, 1, 5, 3, 7, 9, 5, 5, 1, 6, and 3 through categories A to K, respectively. The Autism column shows values from top to bottom as 2, 2, 1, 3, 5, 6, 6, 4, 4, 5, and 3 through categories A to K, respectively. The A D H D column shows values 1, 3, 3, 4, 3, 2, 3, and 1 through categories D to K, respectively. The Dyslexia column contains the value 1 at category F and 1 at category H. The Y 2020 negative column shows values 2, 2, and 2 through categories A to D, then shows 7, 4, 6, 3, 6, 3, and 2 through categories E to K, respectively. The Y 2021 positive column shows values from top to bottom as 3, 1, 4, 5, 7, 10, 7, 6, 3, 9, and 5 through categories A to K, respectively. The Q 1 column shows values from top to bottom as 1, 1, 3, 3, 9, 8, 6, 4, 6, 9, and 4 through categories A to K, respectively.

Bubble plot of mapping of non-empirical publications. Notes. A-K refer to the elements of Figure 1; the vertical and horizontal sums of number of studies do not equal 45 as most publications included multiple dimensions (x-axis) and elements (y-axis). Source: Author’s own work

Figure 4
A bubble chart shows topic and year distributions for categories labeled A to K.The bubble chart illustrates topic and year distributions for categories labeled A through K. The vertical axis on the right lists categories from A at the top to K at the bottom, while the horizontal axis displays the columns labeled “Focus,” “Neurodiversity,” “Autism,” “A D H D,” “Dyslexia,” “Y 2020 negative,” “Y 2021 positive,” and “Q 1” from left to right. Each circle represents the count for a given category and topic, with larger circles indicating higher values. In the Focus column, values range from 3 to 15, with the largest circles appearing for rows F, E, and G, showing counts of 15, 14, and 13, respectively, and arranged from top to bottom as 5, 3, 6, 5, 14, 15, 13, 9, 9, 12, and 7 through categories A to K, respectively. The Neurodiversity column has values from top to bottom as 3, 1, 5, 3, 7, 9, 5, 5, 1, 6, and 3 through categories A to K, respectively. The Autism column shows values from top to bottom as 2, 2, 1, 3, 5, 6, 6, 4, 4, 5, and 3 through categories A to K, respectively. The A D H D column shows values 1, 3, 3, 4, 3, 2, 3, and 1 through categories D to K, respectively. The Dyslexia column contains the value 1 at category F and 1 at category H. The Y 2020 negative column shows values 2, 2, and 2 through categories A to D, then shows 7, 4, 6, 3, 6, 3, and 2 through categories E to K, respectively. The Y 2021 positive column shows values from top to bottom as 3, 1, 4, 5, 7, 10, 7, 6, 3, 9, and 5 through categories A to K, respectively. The Q 1 column shows values from top to bottom as 1, 1, 3, 3, 9, 8, 6, 4, 6, 9, and 4 through categories A to K, respectively.

Bubble plot of mapping of non-empirical publications. Notes. A-K refer to the elements of Figure 1; the vertical and horizontal sums of number of studies do not equal 45 as most publications included multiple dimensions (x-axis) and elements (y-axis). Source: Author’s own work

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Figure 5
A bubble chart shows distributions of focus areas, research methods, and years for categories A to K.The bubble chart shows the distribution of focus areas, research methods, and publication years across categories labeled A through K. The vertical axis on the right lists categories from A at the top to K at the bottom, while the horizontal axis includes multiple column headings from left to right: “Focus,” “N D,” “Autism,” “A D H D,” “Dyslexia,” “Qual,” “Quant,” “Mixed,” “Interview,” “Focus,” “Survey,” “Exp.,” “Intervention,” “N minority,” “N typical,” “Both,” “Y 2020 negative,” “Y 2021 positive,” and “Q 1.” Each bubble represents the count of studies, with larger bubbles indicating higher counts, and the size of the bubble increases from low to high values. The Focus column has values from top to bottom as 4, 2, 3, 6, 19, 19, 15, 1, 9, 21, and 5 through categories A to K, respectively. The N D column has values from 1, 2, 6, 8, and 5 through categories C to G and 4, 5, and 1 through categories I to K, respectively. The Autism column has values from top to bottom as 3, 2, 2, 4, 2, 9, 7, 1, 5, 5, and 2 through categories A to K, respectively. The A D H D column has values of 1 for category A, 9, 1, and 1 for categories E to G, and 1, 9, and 2 for categories I to K, respectively. The Dyslexia column has values of 1 for category A, 2, 1, and 1 for categories E to G, and 1 and 2 for categories I to J, respectively. The Qual column has values of 3 for category A and 1, 3, 5, 11, 11, 1, 5, 6, and 5 for categories C to K, respectively. The Quant column has values from top to bottom as 1, 1, 2, 1, 13, 6, and 3 through categories A to G, and 4 and 15 through categories I to J, respectively. The Mixed column has values of 1 for category B and 2, 1, 2, and 1 for categories D to G, respectively. The Interview column has values of 3 for category A and 1, 3, 7, 11, 9, 1, 3, 6, and 3 for categories C to K, respectively. The Focus column has values of 1 for category B, 1, 1, and 3 for categories D to F, 1 and 1 for categories J and K, respectively. The Survey column has values from 2, 1, 1, 4, 12, 7, and 6 through categories A to G and 6, 13, and 1 through categories I to K, respectively. The Exp column has a value of 1 for categories B to E and 1 for category J, respectively. The Intervention column has a value of 1 for category C and 2 for category F, respectively. The N minority column has values from 1, 2, 4, 4, and 6 through categories C to G and 1, 7, and 1 through categories I to K, respectively. The N typical column has a value of 2 for category B and 2, 2, 6, 5, 1, 5, 1, and 4 for categories D to K, respectively. The Both column has a value of 4 for category A, 2, 2, 13, 8, and 3 for categories C to G, and 3 and 13 for categories I to J, respectively. The Y 2020 negative column has a value of 3 for category A, 2, 1, 4, and 4 for categories D to G, and 1, 3, and 1 for categories I to K, respectively. The Y 2021 negative column has values from top to bottom as 1, 2, 3, 4, 17, 15, 11, 1, 8, 18, and 4 through categories A to K, respectively. The Q 1 column has values from top to bottom as 2, 2, 2, 3, 10, 11, 9, 1, 8, 12, and 3 through categories A to K, respectively.

Bubble plot of mapping of empirical studies. Notes. A-K refer to the elements of Figure 1; The vertical and horizontal sums of number of studies do not equal 60 as most studies included multiple dimensions (x-axis) and elements (y-axis). Source: Author’s own work

Figure 5
A bubble chart shows distributions of focus areas, research methods, and years for categories A to K.The bubble chart shows the distribution of focus areas, research methods, and publication years across categories labeled A through K. The vertical axis on the right lists categories from A at the top to K at the bottom, while the horizontal axis includes multiple column headings from left to right: “Focus,” “N D,” “Autism,” “A D H D,” “Dyslexia,” “Qual,” “Quant,” “Mixed,” “Interview,” “Focus,” “Survey,” “Exp.,” “Intervention,” “N minority,” “N typical,” “Both,” “Y 2020 negative,” “Y 2021 positive,” and “Q 1.” Each bubble represents the count of studies, with larger bubbles indicating higher counts, and the size of the bubble increases from low to high values. The Focus column has values from top to bottom as 4, 2, 3, 6, 19, 19, 15, 1, 9, 21, and 5 through categories A to K, respectively. The N D column has values from 1, 2, 6, 8, and 5 through categories C to G and 4, 5, and 1 through categories I to K, respectively. The Autism column has values from top to bottom as 3, 2, 2, 4, 2, 9, 7, 1, 5, 5, and 2 through categories A to K, respectively. The A D H D column has values of 1 for category A, 9, 1, and 1 for categories E to G, and 1, 9, and 2 for categories I to K, respectively. The Dyslexia column has values of 1 for category A, 2, 1, and 1 for categories E to G, and 1 and 2 for categories I to J, respectively. The Qual column has values of 3 for category A and 1, 3, 5, 11, 11, 1, 5, 6, and 5 for categories C to K, respectively. The Quant column has values from top to bottom as 1, 1, 2, 1, 13, 6, and 3 through categories A to G, and 4 and 15 through categories I to J, respectively. The Mixed column has values of 1 for category B and 2, 1, 2, and 1 for categories D to G, respectively. The Interview column has values of 3 for category A and 1, 3, 7, 11, 9, 1, 3, 6, and 3 for categories C to K, respectively. The Focus column has values of 1 for category B, 1, 1, and 3 for categories D to F, 1 and 1 for categories J and K, respectively. The Survey column has values from 2, 1, 1, 4, 12, 7, and 6 through categories A to G and 6, 13, and 1 through categories I to K, respectively. The Exp column has a value of 1 for categories B to E and 1 for category J, respectively. The Intervention column has a value of 1 for category C and 2 for category F, respectively. The N minority column has values from 1, 2, 4, 4, and 6 through categories C to G and 1, 7, and 1 through categories I to K, respectively. The N typical column has a value of 2 for category B and 2, 2, 6, 5, 1, 5, 1, and 4 for categories D to K, respectively. The Both column has a value of 4 for category A, 2, 2, 13, 8, and 3 for categories C to G, and 3 and 13 for categories I to J, respectively. The Y 2020 negative column has a value of 3 for category A, 2, 1, 4, and 4 for categories D to G, and 1, 3, and 1 for categories I to K, respectively. The Y 2021 negative column has values from top to bottom as 1, 2, 3, 4, 17, 15, 11, 1, 8, 18, and 4 through categories A to K, respectively. The Q 1 column has values from top to bottom as 2, 2, 2, 3, 10, 11, 9, 1, 8, 12, and 3 through categories A to K, respectively.

Bubble plot of mapping of empirical studies. Notes. A-K refer to the elements of Figure 1; The vertical and horizontal sums of number of studies do not equal 60 as most studies included multiple dimensions (x-axis) and elements (y-axis). Source: Author’s own work

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The research on neurodiversity in the workplace context gained momentum from 2019, with 10 (comprising 4 non-empirical and 6 empirical papers) published in that year, attributed to a special issue on neurodiversity in a management journal (see Figure 3). The unprecedented growth was seen in 2023 with 23 papers published in that year, followed by 34 papers in 2024. The field that started with non-empirical publications now witnesses more empirical studies than the non-empirical work despite challenges associated with collecting data. Our sample (45 non-empirical and 60 empirical) comprised 104 journal articles and one conference paper. Tables 2 and 3 indicate that commonly discussed or studied forms of neurodiversity include autism (18 non-empirical publications and 26 empirical studies), neurodiversity in general (20 non-empirical and 16 empirical) and ADHD (9 non-empirical and 14 empirical). As per Table 3, 60 empirical studies used the following designs: 32 qualitative, 23 quantitative and 5 mixed-method designs. Frequently used methods were interviews (28 studies), surveys or questionnaires (27) and focus groups (7). In total, 11 studies were conducted across industries while many others included participants from multiple industries. The most common origins of the empirical studies were UK (13), USA (13), Australia (9) and Canada (6). Data were collected as follows: from both neurotypical and neurodivergent individuals (27), neurotypical individuals (16), neurodivergent individuals (15) and other sources (2).

The bubble plot in Figure 4 shows the elements of non-empirical publications from Table 2 mapped against the neurodiversity framework from Figure 1. The size of the bubble corresponds to the number of studies. For instance, 15 studies focused on F, the developing and engaging practices (see coding in Table 2 to identify those 15 studies). The focus of non-empirical publications has been mainly on developing and engaging practices (F, 15), neurodiverse workplace (E, 14), challenges and opportunities pertaining to developing and engaging practices and inclusion (G, 13) and behaviors, processes and outcomes (J, 12). Many publications that discussed neurodiversity in general focused on developing and engaging practices (F, 9). Similar links were found: between autism and developing and engaging practices (F, 6), between autism and challenges and opportunities pertaining to developing and engaging practices and inclusion (G, 6) and between ADHD and challenges and opportunities pertaining to developing and engaging practices and inclusion (G, 4). Drawing on Figures 4 and 5, Figure 6 presents a consolidated summary of the amount and focus of research on workplace neurodiversity.

Figure 6
A framework diagram illustrates relationships among elements across three stages of the neurodiversity management model.The diagram shows ten labeled text boxes and a text arranged in three horizontal rows, illustrating the “Neurodiversity management framework.” The “Neurodiversity management framework” comprises three stages labeled at the bottom from left to right as follows: “Creating,” “Converting,” and “Capitalizing.” Above this, the text boxes and the text arranged in three rows are labeled from left to right as follows: Bottom row: “B – Challenges and Opportunities Pertaining to Antecedents, N E 3; E M 2,” “D – Challenges and Opportunities Pertaining to Recruitment and Selection, N E 5; E M 6,” and “G – Challenges and Opportunities Pertaining to Developing and Engaging Practices and Inclusion, N E 13; E M 15.” Middle row: “A - Antecedents” with sublabels “Leadership and N D employment programs (elements and benefits) N E 5; E M 4,” “C - Recruitment and Selection Practices” with sublabels “Resource Practices, Accountability Practices, Accommodations, N E 6; E M 3,” “E - Neurodiverse Workplace” with sublabels “Form(s), Benefits, Experiences, Self-concept, N E 14; E M 19,” “H - Neurodiverse Inclusive Workplace” with sublabels “Inclusion experiences, N E 9; E M 1,” and “J - Behaviors or Processes and Outcomes” with sublabels “Employee, Organizational, N E 12; E M 21.” Top row: A text labeled “K - Environment” with sublabels “External, Organizational, N E 7; E M 5,” “F - Developing and Engaging Practices” with sublabels “Resource Practices, Accountability Practices, Accommodations, N E 15; E M 19,” and “I - Supervisors and Co-workers” with sublabels “Attitudes, Behaviors, Challenges, Support, N E 9; E M 9.” All text boxes in the middle row are connected by right-pointing arrows: from “A” to “C,” from “C” to “E,” from “E” to “H,” and from “H” to “J.” Text boxes “A,” “B,” “C,” “D,” “E,” and “F” belong to the “Creating” stage; text boxes “G,” “E,” “H,” and “F” belong to the “Converting” stage; and text boxes “H,” “I,” and “J” belong to the “Capitalizing” stage. An upward arrow from “B” points to the arrow connecting “A” to “C.” An upward arrow from “D” points to the arrow connecting “C” to “E.” An upward arrow from “G” points to the arrow connecting “E” to “H.” A downward diagonal right-pointing arrow from “F” connects to “H.” A downward arrow from “I” points to the arrow connecting “H” to “J.” An upward arrow from the arrow “E” to “H” points to the arrow connecting “F” to “H.”

Neurodiversity management framework adapted from Khan et al. (2023) with a mapping of sample studies. NE refers to non-empirical publications and EM refers to empirical studies. Source: Author’s own work

Figure 6
A framework diagram illustrates relationships among elements across three stages of the neurodiversity management model.The diagram shows ten labeled text boxes and a text arranged in three horizontal rows, illustrating the “Neurodiversity management framework.” The “Neurodiversity management framework” comprises three stages labeled at the bottom from left to right as follows: “Creating,” “Converting,” and “Capitalizing.” Above this, the text boxes and the text arranged in three rows are labeled from left to right as follows: Bottom row: “B – Challenges and Opportunities Pertaining to Antecedents, N E 3; E M 2,” “D – Challenges and Opportunities Pertaining to Recruitment and Selection, N E 5; E M 6,” and “G – Challenges and Opportunities Pertaining to Developing and Engaging Practices and Inclusion, N E 13; E M 15.” Middle row: “A - Antecedents” with sublabels “Leadership and N D employment programs (elements and benefits) N E 5; E M 4,” “C - Recruitment and Selection Practices” with sublabels “Resource Practices, Accountability Practices, Accommodations, N E 6; E M 3,” “E - Neurodiverse Workplace” with sublabels “Form(s), Benefits, Experiences, Self-concept, N E 14; E M 19,” “H - Neurodiverse Inclusive Workplace” with sublabels “Inclusion experiences, N E 9; E M 1,” and “J - Behaviors or Processes and Outcomes” with sublabels “Employee, Organizational, N E 12; E M 21.” Top row: A text labeled “K - Environment” with sublabels “External, Organizational, N E 7; E M 5,” “F - Developing and Engaging Practices” with sublabels “Resource Practices, Accountability Practices, Accommodations, N E 15; E M 19,” and “I - Supervisors and Co-workers” with sublabels “Attitudes, Behaviors, Challenges, Support, N E 9; E M 9.” All text boxes in the middle row are connected by right-pointing arrows: from “A” to “C,” from “C” to “E,” from “E” to “H,” and from “H” to “J.” Text boxes “A,” “B,” “C,” “D,” “E,” and “F” belong to the “Creating” stage; text boxes “G,” “E,” “H,” and “F” belong to the “Converting” stage; and text boxes “H,” “I,” and “J” belong to the “Capitalizing” stage. An upward arrow from “B” points to the arrow connecting “A” to “C.” An upward arrow from “D” points to the arrow connecting “C” to “E.” An upward arrow from “G” points to the arrow connecting “E” to “H.” A downward diagonal right-pointing arrow from “F” connects to “H.” A downward arrow from “I” points to the arrow connecting “H” to “J.” An upward arrow from the arrow “E” to “H” points to the arrow connecting “F” to “H.”

Neurodiversity management framework adapted from Khan et al. (2023) with a mapping of sample studies. NE refers to non-empirical publications and EM refers to empirical studies. Source: Author’s own work

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Creating stage. The creating a neurodiverse workplace stage comprises A-E elements of Figure 6. The focus of non-empirical publications was significantly greater on a neurodiverse workplace (E, 14) than recruitment and selection practices (C, 6), antecedents (A, 5), challenges and opportunities pertaining to recruitment and selection (D, 5) and challenges and opportunities pertaining to antecedents (B, 3). A greater discussion of A-D elements in non-empirical work will not only advance our knowledge but will also drive their empirical investigations.

Converting stage. This stage of managing neurodiversity comprises E-H elements of the framework. Comparatively, E (neurodiverse workplace, 14), F (developing and engaging practices, 15) and G (challenges and opportunities pertaining to developing and engaging practices and inclusion, 13) received more attention from scholars of non-empirical publications than H (neurodiverse inclusive workplace, 9). Overall, a balanced number of publications discussed these four elements, leading to some understanding of how to convert a neurodiverse workplace into a neurodiverse inclusive workplace.

Capitalizing stage. The capitalizing stage of workplace neurodiversity management comprises H-J elements. Although the focus of non-empirical publications was slightly greater on behaviors, processes and outcomes (J, 12) than neurodiverse inclusive workplace (H, 9) and supervisors and co-workers (I, 9), overall they all attracted attention from scholars.

Overall, non-empirical literature provides greater insights into the converting and capitalizing stages of neurodiversity management than the creating stage of neurodiversity management. Most Q1 publications, as per SCImago journal rankings, also pertained to creating and converting stages. The number of publications gained momentum from 2021 onwards, with an increasing focus on the same two stages.

The bubble plot in Figure 5 presents the elements of empirical studies from Table 3 mapped against the neurodiversity framework from Figure 1. The focus of empirical studies has been on behaviors, processes and outcomes (J, 21; see coding in Table 3 to identify those 21 studies), neurodiverse workplace (E, 19), developing and engaging practices (F, 19) and challenges and opportunities pertaining to developing and engaging practices and inclusion (G, 15). While most of these studies centered on general neurodiversity and autism, ADHD studies were fragmented around neurodiverse workplace (E) and behaviors, processes and outcomes (J).

A greater number of studies of neurodiverse workplace (E) used quantitative methods (13) than qualitative methods (5). Several studies of developing and engaging practices (F, 11) and challenges and opportunities pertaining to developing and engaging practices and inclusion (G, 11) used qualitative methods. Quantitative methods were common among the behaviors, processes and outcome studies. Mixed methods were rarely used. Interviews were commonly used for studies of developing and engaging practices (F, 11) and challenges and opportunities pertaining to developing engaging practices and inclusion (G, 9), while surveys were frequently used for studies of behaviors, processes and outcomes (J, 13) and neurodiverse workplace (E, 12). Focus groups, experiments and interventions were rarely used.

Many studies of behaviors, processes and outcomes (J, 7) and challenges and opportunities pertaining to developing and engaging practices and inclusion (G, 6) collected data from neurominority. Neurotypicals were frequently studied for developing and engaging practices (F, 6), challenges and opportunities pertaining to developing and engaging practices and inclusion (G, 5) and supervisors and co-workers (I, 5). Both groups were studied for neurodiverse workplace (E, 13), behaviors, processes and outcomes (J, 13) and developing and engaging practices (F, 8). Until the year 2020, only a few empirical studies were published, which focused on developing and engaging practices (F), challenges and opportunities pertaining to developing and engaging practices and inclusion (G) and behaviors, processes and outcomes (J). The years 2021–2024 witnessed a large number of studies focusing on behaviors, processes and outcomes (J, 18), neurodiverse workplace (E, 17), developing and engaging practices (F, 15) and challenges and opportunities pertaining to developing and engaging practices and inclusion (G, 11). Many of these papers were published in Q1 journals.

Creating stage. For the creating stage (A-E elements of Figure 6), the focus of empirical studies was mainly on the last element of a neurodiverse workplace (E, 19). The other four elements received little attention, especially challenges and opportunities pertaining to antecedents (B, 2), recruitment and selection practices (C, 3) and antecedents (A, 4). A lack of empirical research on A-D has caused a knowledge gap pertaining to creating a neurodiverse workplace, evidenced in low neurodiversity in organizations (Ali et al., 2024a, b).

Converting stage. The empirical literature on E-H elements of the framework was dominated by E (neurodiverse workplace, 19), F (developing and engaging practices, 19) and G (challenges and opportunities pertaining to developing and engaging practices and inclusion, 15). Only one empirical study, published in 2021, focused on inclusion (Walkowiak, 2021). Therefore, while evidence exists for how to convert a neurodiverse workplace into an inclusive workplace, little is known about the inclusion experiences of employees.

Capitalizing stage. The capitalizing stage (H-J elements) of workplace neurodiversity management received mixed empirical attention. Predominantly, the focus was on behaviors, processes and outcomes (J, 21) to possibly demonstrate a business case. Given the importance of supervisory and co-workers' support, nine empirical studies investigated it. As indicated above, little is known about inclusion experiences of a neurodiverse workplace.

Overall, empirical literature also provides greater insights into the converting and capitalizing stages of neurodiversity management (except the inclusion element) than the creating stage of neurodiversity management. Inclusion connects converting and capitalizing stages but has received little empirical attention. The number of publications (including Q1) gained momentum from 2021 onwards, with a consistent focus on converting and capitalizing stages.

The objective of this unprecedented mapping of the workplace neurodiversity literature was to ascertain the amount and focus of research, leading to identifying knowledge gaps that need to be addressed through future research. The findings indicate that the neurodiversity in the workplace field is young but growing. It started with non-empirical or conceptual discussion in the 1990s but has grown into a field increasingly dominated by empirical studies. The momentum was gained in 2019 with a special issue published by a management journal and a growing quest for a business case. Overall, the focus of empirical studies has been slightly different from the focus of non-empirical publications. While both emphasize more on post-hiring stages (converting and capitalizing), empirical studies did not pay attention to inclusion, an important dimension of managing diversity.

The findings indicate that the non-empirical literature, including Q1 publications, focused more on converting and capitalizing stages than on the creating stage. Until 2020, scholars mainly discussed workplace neurodiversity (E element from Figure 6; e.g. Harvey et al., 2011), challenges and opportunities pertaining to developing and engaging practices and inclusion (G; e.g. Patton, 2019) and supervisors and co-workers (I; e.g. Annabi and Locke, 2019). From 2021 onwards, the focus broadened to include developing and engaging practices (F; e.g. Cox et al., 2024), behavior, processes and outcomes (J; e.g. Fiori-Khayat, 2023), inclusion (H; e.g. Praslova et al., 2023), challenges and opportunities pertaining to recruitment and selection (D; e.g. Antony et al., 2024) and environment (K; e.g. Roberson et al., 2021). Overall, the focus remains on converting a neurodiverse workforce into a neurodiverse inclusive workplace and capitalizing on the benefits of neurodiversity. Most discussions of general neurodiversity, autism and ADHD centered on developing and engaging practices (F; e.g. Bölte et al., 2024) and challenges and opportunities pertaining to developing and engaging practices and inclusion (G; e.g. Ezerins et al., 2024).

The findings suggest that empirical literature, including Q1 studies, also centered more on converting (apart from inclusion) and capitalizing stages of the framework than the creating stage. Until 2020, only a few empirical studies were published, focusing mainly on developing and engaging practices (F; e.g. Mellifont, 2020), challenges and opportunities pertaining to developing and engaging practices and inclusion (G; e.g. Richards, 2012) and behavior, processes and outcomes (J; e.g. Remington and Pellicano, 2019). From 2021 onwards, the focus broadened to include workplace neurodiversity (E; e.g. Stappers and Andries, 2024), supervisors and co-workers (I; e.g. Spoor et al., 2022), challenges and opportunities pertaining to recruitment and selection (D; e.g. Wiater and Bartak, 2023) and environment (K; e.g. Erbil et al., 2024). Overall, the focus remains on converting and capitalizing stages of the framework.

Empirical investigations of general neurodiversity and autism revolved around workplace neurodiversity (E; e.g. Ali et al., 2024a), developing and engaging practices (F; e.g. Basto and Cepellos, 2023), challenges and opportunities pertaining to developing and engaging practices and inclusion (G; e.g. Priscott and Allen, 2021), supervisors and co-workers (I; e.g. Whelpley and Woznyj, 2023) and behavior, processes and outcomes (J; e.g. Brouwers et al., 2024). On the contrary, ADHD studies focused on workplace neurodiversity (E; e.g. Orhan et al., 2024) and behavior, processes and outcomes (J; e.g. Lanivich et al., 2024). Although qualitative methods were mainly used for developing and engaging practices (F; e.g. Kersten et al., 2024) and challenges and opportunities pertaining to developing and engaging practices and inclusion (G; e.g. Priscott and Allen, 2021), quantitative methods were mainly employed for behavior, processes and outcomes (J; e.g. Ali et al., 2024b) and workplace neurodiversity (E; e.g. van Rijswijk et al., 2024b). Mixed methods were rarely used (e.g. Allen et al., 2023).

Interviews and surveys were commonly used to investigate workplace neurodiversity (E; e.g. Artamoshina et al., 2023), developing and engaging practices (F; e.g. Efeoglu and Kilincarslan, 2024), challenges and opportunities pertaining to developing and engaging practices and inclusion (G; e.g. William et al., 2024), supervisors and co-workers (I; e.g. Iqbal et al., 2024) and behavior, processes and outcomes (J; e.g. McIntosh et al., 2023). The lack of use of focus groups, experiments and interventions suggests that the field centers on fundamental research questions. Although the converting stage elements used data from neurominority (neurodivergent), neurotypical or both (E, F, G; e.g. Williams et al., 2024), the capitalizing stage elements used data as follows: from neurotypical or both for the I element (e.g. Whelpley and Woznyj, 2023) and from neurominority or both for the J element (e.g. Brouwers et al., 2024).

Comparing findings with recent reviews

This review might be the first mapping review of an end-to-end process of managing workplace neurodiversity comprising creating, converting and capitalizing stages. However, it is worth noting how the findings of this review compare with those of recent reviews. For instance, recent reviews indicate that the majority of literature conceptualizes diversity as a difference rather than a deficit or disorder (McLennan et al., 2025) and is overwhelmingly dominated by a focus on autism (Ogoms et al., 2025), calling for future research to focus on other less-studied forms of neurodiversity, such as dyslexia, dyspraxia and dyscalculia and intersectional identities (Doyle and McDowall, 2022). The current mapping review refines these findings by showing that the non-empirical literature's focus has been on neurodiversity in general, autism and ADHD, respectively, while empirical literature has more frequently studied autism, neurodiversity in general and ADHD, respectively. Moreover, reviews reveal that neurodivergent individuals face significant and persistent barriers in the workplace, including pervasive stigma (Turnock et al., 2022), a lack of awareness among colleagues and managers (Ezerins et al., 2024), sensory overload in open-plan offices (Weber et al., 2024), reciprocal communication and unstructured social communication (Kirkwood et al., 2025) and disclosure dilemmas (Patton, 2019). The current mapping review refines these findings by showing that the barriers and challenges pertaining to all three stages of creating, converting and capitalizing have attracted slightly more attention from empirical studies than non-empirical work. Relatively, greater knowledge exists on the barriers and challenges pertaining to supervisors, co-workers and developing and engaging practices than recruitment and selection practices.

The recent reviews chart a path forward, identifying effective support and interventions that can create a more inclusive environment. These include tailored accommodations, such as noise-canceling headphones and flexible schedules (Wen et al., 2024), strength-based management practices (Najeeb and Quadt, 2024) and structured hiring initiatives like neurodiversity talent programs (Chammas and Hernandez, 2025; Hennekam and Follmer, 2024). The current review shows that while evidence exists for the offering of developing and engaging practices, the inclusion experiences of neurodivergent employees have been substantially understudied, leading to a lack of evidence for the effectiveness of practices. Finally, recent reviews call for more rigorous, high-quality research across a wider range of neurotypes and global contexts, emphasizing that true inclusion requires a systemic, organizational-level transformation rather than placing the burden of adaptation solely on the individual (Ezerins et al., 2024; Rollnik-Sadowska and Grabińska, 2024). The current review also places inclusion at the center of managing neurodiversity while also revealing an increasing emphasis on employee and organizational behaviors, processes and outcomes along with contextual management of neurodiversity, aligning with organizational and external environments.

The focus on the converting and capitalizing stages implies that many organizations are still treating neurodiversity as a problem to be managed rather than a talent pool to be actively sourced. This reactive approach means organizations are not able to achieve a competitive advantage by failing to build robust talent pipelines specifically designed to attract neurodivergent individuals (Austin and Pisano, 2017). To address this, organizations must shift resources earlier in the employee lifecycle to the creating stage. Organizational leadership must treat neurodiversity inclusion as an integrated talent management lifecycle, not a series of disconnected initiatives. To address this, organizations need to apply a rigorous, evidence-based approach to recruitment and selection of neurodivergent individuals (Hennekam and Follmer, 2024; Pfeffer and Sutton, 2006). This involves moving beyond the ad-hoc accommodations described in the converting stage, which aligns with the principle of strategic HR management, emphasizing that HR practices must be internally consistent and aligned with long-term organizational goals (Wright and McMahan, 1992).

For managers, the strong focus on their role and developing and engaging practices underscores that their day-to-day leadership behaviors are the cornerstone of inclusion (Purcell and Hutchinson, 2007; Shore et al., 2018). Neurodivergent employees' experiences and outcomes are shaped by their interactions with supervisors and co-workers (Khan et al., 2023). Therefore, organizations must move beyond basic awareness training and equip managers with tangible skills in psychological safety, equitable task allocation and personalized management. This reliance points to the importance of leader-member exchange theory (Graen and Uhl-Bien, 1995), which shows that high-quality, trust-based relationships between managers and individual employees lead to greater satisfaction, performance and retention. Managers must be trained and rewarded for building these high-quality relationships with all reports, including neurodivergent individuals (Kirkwood et al., 2025).

The broadening focus to include environment and behavior, processes signals a critical evolution: sustainable neurodiversity management demands a strategic cultural transformation (Ezerins et al., 2024; Rao and Polepeddi, 2019; Rollnik-Sadowska and Grabińska, 2024). The implication for senior leadership is that capitalizing on the benefits of neurodiversity requires cultivating an entire ecosystem of psychological safety where cognitive variations are not just accommodated but valued as essential to innovation (Edmondson, 1999). The ultimate goal is to build an organization where cognitive diversity is a recognized driver of problem-solving and value creation, leading to measurable outcomes such as enhanced innovation and superior performance (Austin and Pisano, 2017).

This mapping review has identified several knowledge gaps that demand conceptual work and empirical investigations for our comprehensive understanding of workplace neurodiversity. First, while there are some discussions (e.g. Richards, 2023) and empirical investigations (e.g. Richards and Sang, 2016) of antecedents of recruitment and selection practices, there needs to be an emphasis on challenges and opportunities pertaining to antecedents (B; e.g. Spoor et al., 2022). This literature will help us translate the antecedents into neurodiversity recruitment and selection practices. The following research questions need attention: How does corporate governance empower leadership in driving neurodiversity recruitment and selection practices? What are the roles of HR infrastructure and diversity perspective in translating neurodiversity employment programs into sustainable neurodiversity recruitment and selection practices?

Second, despite the importance of recruitment and selection practices (C) in creating a neurodiverse workplace (E; e.g. Hill, 2014), there is a lack of empirical research on their role. Future research can investigate the following research questions: Which neurodiversity recruitment and selection practice bundles (resource, accountability or accommodations) are more effective in acquiring neurodiverse talent? How does their horizontal alignment amplify their effectiveness in creating a neurodiverse workplace? This body of research should also unfold the challenges and opportunities pertaining to recruitment and selection (e.g. Goldberg and Willham, 2024) as past research emphasized more subsequent elements of managing neurodiversity. A general low level of neurodiversity in our organizations can be partly attributed to a lack of evidence for the effectiveness of recruitment and selection practices (Ali et al., 2024a).

Third, despite a considerable discussion of inclusion in the non-empirical literature, there has been only one study of inclusion experiences (Walkowiak, 2021), which collected data from neurotypical employees. This is a significant knowledge gap in terms of how neurominority (neurodivergent) employees perceive uniqueness and belonging (Nishii, 2013; Roberson, 2025). Capitalizing on neurodiversity benefits is not possible without inclusion perceptions. Future work might benefit from studying: What unique challenges emerge at the intersection of neurodivergence with other marginalized identities (e.g. gender, race and age) in enhancing workplace inclusion? How does organizational culture (e.g. psychological safety, flexibility norms and error tolerance) influence inclusion experiences of neurodivergent employees? Fourth, while there has been some consideration of the environmental factors since 2021 (e.g. Sander-Williams, 2024), there needs to be additional research on external and organizational factors that can influence neurodiversity management. Research questions may include: How do external stakeholders (e.g. neurodiversity advocacy groups, investors and clients) shape employer decisions to adopt neurodiversity employment programs? How do organizational characteristics (e.g. size and industry) influence workplace neurodiversity management?

Fifth, although the research so far mainly focused on general neurodiversity, autism and ADHD (e.g. Wen et al., 2023), future research needs to study dyslexia and other forms of neurodiversity for our knowledge of a broader range of neurodiversity conditions. The ADHD empirical research has also been narrowly focused on neurodiverse workplace (E; e.g. Yu et al., 2021) and behaviors, processes and outcomes (J; e.g. Stappers and Andries, 2024). This fragmented and narrow focus has led to low understanding of how managing neurodiversity may differ for its various forms. Specific research questions may include: How do cognitive strengths associated with less-studied neurodiversity forms align with specific occupational demands, and what barriers prevent recruiters from recognizing this alignment? What factors influence disclosure decisions among employees with dyscalculia and Tourette syndrome in different career stages, and how do these decisions impact their career trajectories? Sixth, future research can benefit from using mixed-methods designs (e.g. Lup and Canonico, 2024) and less frequently used methods, such as focus groups, experiments and interventions (e.g. Comer et al., 2023). Example research questions are as follows: How does a neurodiversity-awareness training intervention impact managers' perceived ability to recognize and leverage the strengths of employees with dyslexia and dyspraxia? How do neurodivergent employees perceive well-being, and how do workspace redesigns (e.g. lighting and acoustics) affect it? Invaluable insights will be gained from collecting primary data from neurominority employees, especially for creating and converting (including inclusion perceptions) stages.

This mapping review, while comprehensive, is subject to some limitations. First, the decision to restrict the search to only two databases (Business Source Elite and ABI/INFORM), albeit well justified for their workplace focus, may have resulted in the omission of some indirectly relevant literature from other fields such as disability studies (Lefebvre et al., 2022). Second, by design, a mapping review does not critically appraise the methodological quality of the included studies (Arksey and O'Malley, 2005; Grant and Booth, 2009; Miake-Lye et al., 2016). While this review successfully cataloged the volume and focus of research, it could not assess the validity or robustness of the findings within the 105 publications. Third, the focus on peer-reviewed literature ensured quality (Chandler et al., 2019), but it might have overlooked valuable insights from grey literature, such as policy documents or industry reports, which could provide practical context to the academic findings. Fourth, the research questions did not require a systematic cataloging of the theoretical frameworks underpinning the 105 publications (Miake-Lye et al., 2016). However, this review significantly developed Khan et al.’s (2023) framework to articulate the why and proficiently mapped the what and how of existing research, presenting a valuable opportunity for future analytical reviews to focus on theories.

This mapping review has systematically collated and cataloged the burgeoning yet fragmented body of literature on workplace neurodiversity. The analysis demonstrates that current scholarship is predominantly concentrated on the latter stages of the neurodiversity management framework – converting and capitalizing – while critically neglecting the creating stage and the inclusion element, which is at the juncture of converting and capitalizing. The over-reliance on specific methodological approaches and the focus on general neurodiversity, autism and ADHD further highlight significant blind spots. Consequently, this review establishes a clear and urgent research program: to address these identified gaps by pioneering studies on inclusion mechanisms, exploring under-researched neurotypes, employing mixed-methods designs and, most importantly, centering the lived experiences and voices of neurominorities. By directing scholarly effort toward these priorities, the field can evolve from fragmented insights to a robust, evidence-based discipline that truly supports positive outcomes for both neurominority employees and the organizations they enrich.

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