Next Article in Journal
From Organizational Culture to Efficiency in People Management: Development and Validation of the People Management Efficiency Scale (PMES)
Previous Article in Journal
The Role of Ethnic Identity, Perceived Social Support, and Maladaptive Perfectionism in the Self-Esteem of Immigrant Asian Indian University Students
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Systematic Review

Mapping the Socio-Cognitive Architecture of Workplace Dishonesty: A Theory-Informed Bibliometric Review of Selected Explanatory Mechanisms

by
Soukayna El Majdoubi
1,
Yassir El Guenuni
1,
Fatima Zahrae Hadran
1 and
Omar Boubker
1,2,*
1
Management, Innovation and Governance of Organizations Research Team (ER-MIGO), Polydisciplinary Faculty of Larache, Abdelmalek Essaadi University, Tetouan 93000, Morocco
2
Department of Economics and Management, Faculty of Law, Economics and Social Sciences (FSJEST), Abdelmalek Essaadi University, Tetouan 93000, Morocco
*
Author to whom correspondence should be addressed.
Societies 2026, 16(5), 149; https://doi.org/10.3390/soc16050149
Submission received: 6 March 2026 / Revised: 29 April 2026 / Accepted: 30 April 2026 / Published: 3 May 2026

Abstract

Research on dishonest behavior within organizational contexts has expanded rapidly in recent years. However, the structural organization of dominant explanatory mechanisms within this literature remains insufficiently clarified. This study provides a theory-informed bibliometric analysis focusing on a deliberately selective segment of the workplace dishonesty literature. Rather than attempting an exhaustive census, the study maps a corpus centered on dominant socio-cognitive and organizational explanatory frameworks in order to examine how these mechanisms are positioned, interconnected, and evolving within this theory-filtered segment. To ensure a transparent and reproducible review process, the study was conducted in accordance with the PRISMA 2020 guidelines, which guided the identification, screening, and eligibility assessment of the literature. Drawing on a systematically constructed corpus retrieved from Web of Science and Scopus and covering the period 1989–2025, the bibliometric analysis was conducted using Biblioshiny 4.5.2 on a final dataset of 679 documents. The analysis integrates performance indicators with science-mapping techniques, including keyword co-occurrence networks, thematic mapping, multiple correspondence analysis, thematic evolution, and global citation analysis. The findings indicate that this theory-based subset of the literature has developed steadily over time alongside a clearer structuring of publication outlets. Conceptually, it remains largely organized around a small number of recurring mechanisms, most notably ethical climate and moral disengagement. Thematic analyses suggest a degree of theoretical stabilization alongside diversification within this selected corpus, while factorial mapping suggests recurring contrasts between cognitive, normative, and organizational explanatory logics. From a longitudinal dynamic perspective, the mapped patterns suggest a possible movement toward more context-sensitive and governance-oriented perspectives; however, this should be interpreted as an inferential reading of this selected corpus. Overall, the findings suggest that, within this corpus, unethical workplace behavior is increasingly conceptualized as a context-dependent socio-cognitive phenomenon shaped by justificatory mechanisms, organizational environments, and performance-related pressures. This review contributes to the fields of behavioral ethics and organizational behavior by providing a structured reading of this specific body of work, clarifying its conceptual organization, identifying its main developmental trajectories, and outlining a theoretically grounded future research agenda for this selected body of literature.

1. Introduction

Rather than being treated solely as normative violations, dishonest behaviors are increasingly conceptualized as complex socio-cognitive and organizational phenomena shaped by the interaction between individual moral processes, situational pressures, and institutional environments. This perspective is consistent with developments in behavioral ethics and organizational behavior, which suggest that unethical behavior stems not only from a lack of moral standards, but also from cognitive mechanisms that enable individuals to justify, neutralize, or rationalize actions that conflict with their self-concepts (personal values) and organizational expectations [1,2,3]. Recent scholarship has further emphasized the contextual, cross-domain, and increasingly global character of ethical and unethical behavior research, while also pointing to the need for more structured syntheses of its conceptual organization [4,5]. Against this background, key constructs such as moral disengagement, ethical leadership, ethical climate, performance pressure, and unethical pro-organizational behavior have gained increasing prominence in this research area.
Taken together, existing evidence indicates that dishonest behavior in organizational settings cannot be reduced either to individual moral failure or to contextual pressure alone. Rather, it emerges at the intersection of identity-related processes, justificatory mechanisms, and organizational signals. This has generated a substantial body of literature structured around recurrent explanatory frameworks, including moral disengagement, ethical climate, ethical leadership, performance pressure, and unethical pro-organizational behavior. Existing review-based syntheses have made important contributions by clarifying the scope of behavioral ethics in organizations and by synthesizing major antecedents, correlates, and consequences of unethical behavior at work [1]. Likewise, meta-analytical work has helped consolidate evidence on specific mechanisms, particularly moral disengagement in organizational settings [4]. However, what remains insufficiently clarified is the structural organization of these dominant explanatory frameworks within this segment of the literature. More specifically, the literature still lacks an integrated view of how these mechanisms are positioned relative to one another, which ones function as central or bridging references, how they cluster conceptually, and how their configuration has evolved over time. A recent bibliometric study has examined ethical behavior research across broader contexts [6]. However, that contribution addresses ethical behavior at a more general and cross-contextual level, whereas the present study focuses specifically on workplace dishonesty and on a theory-informed corpus centered on dominant socio-cognitive and organizational explanatory frameworks. In this context, bibliometric science-mapping is particularly appropriate because the objective is not to estimate causal effects or summarize findings mechanism by mechanism, but to examine the conceptual, thematic, and intellectual structure of this body of work and its evolution over time. By adopting a theory-informed bibliometric approach, this study examines how this selected segment has evolved and consolidated, without claiming to represent the full heterogeneous architecture of all workplace dishonesty research.
Accordingly, this research seeks to answer the following research questions (RQs):
RQ1: What are the main patterns of scientific development within this theory-filtered segment of workplace dishonesty research?
RQ2: How is knowledge production structured in terms of authorship, sources, and collaboration networks?
RQ3: What conceptual and thematic structures organize this corpus, and which explanatory mechanisms and intellectual anchors function as central or bridging elements within it?
RQ4: How have these conceptual structures evolved over time, and what does this evolution suggest about the consolidation and transformation of this research domain?
This study extends the scope of a standard bibliometric report by offering a theory-based structural mapping of a carefully selected segment of the literature. The selection was guided by the objective of focusing on contributions that explicitly mobilize key justificatory and socio-cognitive mechanisms, such as moral disengagement, ethical climate, and related constructs. Its contribution is twofold. First, at the empirical level, it offers an integrated overview of the growth, organization, conceptual clustering, thematic positioning, and longitudinal evolution of this corpus. Second, at the interpretive level, it clarifies how dominant explanatory mechanisms are distributed and interconnected within this segment, thereby identifying both areas of consolidation and persistent structural tensions. By combining complementary science-mapping techniques, the study seeks to provide a more robust account of the conceptual architecture of this body of work. Accordingly, the findings should be interpreted as reflecting the structure and evolution of this selected segment rather than the entirety of workplace dishonesty research.

2. Materials and Methods

2.1. Data Sources and Search Strategy

Data were collected from Scopus and the Web of Science Core Collection on 15 December 2025. Rather than attempting to capture every study on workplace dishonesty, this theory-filtered approach is a deliberate methodological choice to prioritize conceptual depth over descriptive breadth. It allows for a more precise examination of the mechanisms through which organizational environments shape individual justificatory processes. These include core frameworks such as moral disengagement, ethical climate, ethical fading, neutralization theory, self-concept maintenance, bottom-line mentality and performance pressure. To operationalize this scope, we used a three-block Boolean query applied consistently across databases: mechanism/theory terms AND unethical outcome terms AND organizational/workplace scope terms, with syntax adapted to each platform (TITLE-ABS-KEY in Scopus and TS in WoS, with W/3 and NEAR/3 proximity operators, respectively). To maximize retrieval sensitivity and ensure comprehensive coverage, spelling variants, orthographic differences, and synonymous expressions were explicitly incorporated into the search strategy. This included American and British forms (e.g., “behavior/behaviour”, “organizational/organisational”) and alternative formulations of key constructs to capture contextual associations between justification-related terms and moral or ethical references. The UPB family was explicitly included to capture justificatory logics oriented toward organizational goals. To ensure full transparency and reproducibility, the exact Boolean search queries used in each database are reported below: {Scopus (TITLE-ABS-KEY): TITLE-ABS-KEY (“moral disengag*” OR “ethical fading” OR neutraliz* OR “self-concept maintenance” OR (justif* W/3 moral*) OR (justif* W/3 ethic*) OR “ethical climate” OR “organizational climate” OR “organisational climate” OR “bottom-line mentality” OR “bottom line mentality” OR “performance pressure”) AND (“unethical” OR dishonest* OR deviant* OR cheating OR fraud OR misconduct OR “counterproductive work behavior” OR “rule bending” OR “norm violation” OR “data manipulation” OR “KPI manipulation” OR “unethical pro-organizational behavior” OR “unethical pro organisational behaviour” OR “pro-organizational unethical behavior” OR “pro organisational unethical behaviour” OR UPB) AND (workplace OR organization* OR organisation* OR employee*)}. {Web of Science (TS): TS = (“moral disengag*” OR “ethical fading” OR neutraliz* OR “self-concept maintenance” OR (justif* NEAR/3 moral*) OR (justif* NEAR/3 ethic*) OR “ethical climate” OR “organizational climate” OR “organisational climate” OR “bottom-line mentality” OR “bottom line mentality” OR “performance pressure”) AND (“unethical” OR dishonest* OR deviant* OR cheating OR fraud OR misconduct OR “counterproductive work behavior” OR “rule bending” OR “norm violation” OR “data manipulation” OR “KPI manipulation” OR “unethical pro-organizational behavior” OR “unethical pro organisational behaviour” OR “pro-organizational unethical behavior” OR “pro organisational unethical behaviour” OR UPB) AND (workplace OR organization* OR organisation* OR employee*)}.

2.2. Eligibility Criteria and Screening Procedure

The consolidated time window covered 1989–2025 to leverage Scopus’ earlier coverage while preserving comparability with WoS. To align the corpus with organizational research criteria and minimize publication-format heterogeneity, we retained solely peer-reviewed journal articles and review articles. We omitted conference proceedings, book chapters, book series, editorials, notes, meeting abstracts, and corrections. Searches were conducted primarily in English, while French records were retained when an English title and/or abstract was available, enabling consistent screening and text-based analyses. The extraction of data was restricted to specific subject categories and thematic areas. In Web of Science, the search criteria were narrowed down to categories such as Business, Management, Ethics, Applied/Social Psychology, Sociology, and Criminology & Penology. To maintain consistency across databases, the Scopus retrieval was similarly constrained to Social Sciences, Psychology, Decision Sciences, Business and Management & Accounting. The overall data sources, three-block Boolean query structure, inclusion criteria, and exclusion criteria are summarized in Figure 1.
The database search, conducted using predefined query terms and search filters, yielded 1194 records: a total of 672 documents from WoS and 522 from Scopus. Two records from WoS were removed due to irrecoverable metadata, resulting in 1192 records for deduplication. Records were merged and processed in R using the Bibliometrix package [7,8]. Duplicate records were identified using automated matching based on title similarity, author names and publication year. Deduplication removed 416 duplicates; a total of 776 unique records were identified for screening. To ensure reproducibility, the inclusion logic was formalized through a three-category decision rule applied consistently across both automated and manual screening stages. The automated pre-filter was implemented by applying a keyword-based filtering procedure to the textual fields (title, abstract and author keywords), requiring the simultaneous presence of at least one term from each of the three predefined categories: (A) justificatory mechanisms, (B) unethical or dishonest outcomes and (C) an organizational or workplace context. This rule-based filtering operationalizes the theoretical scope of the study and ensures that all selected records reflect the intersection of cognitive justification processes, behavioral outcomes and contextual embedding; it excluded 97 records and retained 679 for analysis.
Following the automated pre-filtering stage, a manual screening procedure was conducted to validate the conceptual alignment of each record with the predefined inclusion criteria using a structured dataset exported into an Excel file containing the title, abstract and author keywords of each document. This stage did not primarily aim to further reduce the dataset, but rather to ensure consistency in the application of the three analytical dimensions. In cases where one dimension was not explicitly stated, inclusion was determined only when sufficient conceptual evidence could be identified in the title, abstract or author keywords to support its presence. Although theoretical frameworks are not explicitly coded as structured variables in bibliometric datasets, they can be reliably inferred from the title, abstract, and author keywords, which summarize the conceptual orientation and explanatory logic of each study. For example, a record could be retained when organizational context was implicit through references to employees, leadership, workplace climate, or organizational practices, or when a justificatory mechanism was expressed through terms related to rationalization, neutralization, moral disengagement or ethical fading rather than through the exact query wording. The screening process was conducted independently by two of the authors and disagreements were resolved through discussion to ensure consistency in the application of the inclusion criteria. Given the high specificity of the initial Boolean query, which was deliberately designed to retrieve studies simultaneously addressing justificatory mechanisms, unethical outcomes and organizational contexts, the manual screening stage did not lead to a substantial reduction in the corpus. Rather, it functioned as a validation phase, confirming the conceptual coherence of the final dataset (n = 679). The identification, screening, eligibility assessment, and reporting of the study selection process were guided by the PRISMA 2020 statement [9]. The corresponding flow diagram (Figure 2) summarizes the number of records identified, removed, screened, excluded, and included in the final bibliometric corpus. For transparency and reproducibility, the processed dataset, screening file, and R scripts used in the present study have been archived in a public repository and are cited in the Data Availability Statement.

2.3. Bibliometric Analysis and Analytical Techniques

Analyses were conducted using the Bibliometrix package and its Biblioshiny interface to ensure consistent computation of performance indicators and science-mapping outputs. Following a theory-informed design, we sequentially examined descriptive performance and the structure of this corpus, its conceptual structure, thematic configuration, temporal and longitudinal dynamics and intellectual anchors. Descriptive performance and structural characteristics were summarized through annual production, core sources and corresponding-author countries, complemented by concentration diagnostics following Bradford- and Lotka-consistent patterns to characterize outlet dispersion and author productivity. The conceptual structure was examined using author keywords (DE). Author keywords (DE) were examined for consistency prior to analysis. The dataset did not present significant duplication, spelling inconsistencies, or conflicting abbreviations that could affect the co-occurrence networks. Therefore, no extensive harmonization procedure was required, and the analysis was conducted on the original keyword set, with minor variations considered during interpretation. Co-occurrence matrices were normalized using association strength. Network visualizations were then constructed using a network size of 50 nodes, with Louvain clustering for community detection. Keywords were filtered based on their frequency of occurrence, retaining the 50 most frequent terms to ensure a robust and interpretable structure. Isolated nodes were removed, and a minimum edge threshold of 2 was applied to reduce weak connections and improve interpretability.
To move beyond local co-occurrence ties, we triangulated results using Multiple Correspondence Analysis (MCA) applied to author keywords (DE), projecting terms and documents into a factorial space. This approach suggests latent dimensions organizing this corpus, including recurring contrasts between micro- and macro-level perspectives. The interpretation of the retained dimensions was based on the terms making the strongest contributions to each axis, rather than on visual proximity alone. To improve transparency, the principal term contributions supporting the interpretation of the MCA structure are reported in Supplementary Table S1. The first two dimensions were retained, explaining 36.22% of the total inertia (Dim 1 = 22.69%, Dim 2 = 13.53%), providing a meaningful representation of the conceptual structure of the dataset. Strategic thematic positioning was assessed using thematic mapping based on centrality and density (motor, basic, niche and emerging or declining themes).
The thematic map was constructed using a set of 250 keywords, with a minimum cluster frequency of 5 occurrences per thousand documents to ensure the inclusion of relevant thematic structures while reducing noise. Clusters were identified using the Louvain algorithm, and layout parameters (repulsion force = 0.5) were adjusted to improve the readability and separation of thematic areas. To capture the kinetic evolution of this corpus, we integrated a Trend Topics analysis, which examines the relative prominence of specific keywords by plotting their median year of occurrence and frequency. This allows for the detection of emerging “Hot Topics” and the shift from foundational to contemporary concepts.
Longitudinal dynamics were further examined through thematic evolution across three publication-balanced periods (tertile-based segmentation) to ensure comparability despite the post-2020 acceleration of output. The thematic evolution was conducted using 250 keywords, with a minimum cluster frequency of 5 occurrences per thousand documents to ensure the selection of relevant themes. Theme connections were weighted using the inclusion index (weighted by word occurrences) with a minimum threshold of 0.1 to retain significant relationships. A Sankey-style visualization was used to interpret shifts in thematic salience and consolidation.
The documents related to the intellectual anchors of the corpus were initially identified on the basis of their high Global Citation Scores (GCS) in the merged corpus. Their interpretation was then refined through reference co-citation analysis conducted on the Web of Science dataset only. This choice reflects a methodological preference for network reliability over database coverage in co-citation analysis. Although the merged corpus was cleaned through deduplication and metadata harmonization, these procedures mainly improve document-level consistency and do not fully resolve heterogeneity in cited-reference strings across databases. In line with Bibliometrix guidance, citation and co-citation analyses were not conducted on the merged database because merged datasets remain unsuitable for such analyses at present, and Scopus reference data in particular require extensive cleaning to match equivalent reference items [10]. The merged corpus was therefore retained for coverage and citation-impact indicators, whereas the Web of Science dataset was used for co-citation analysis in order to improve the stability and interpretability of the reference network. The co-citation network was constructed using the Bibliometrix package in R. Node size reflects co-citation frequency, while links represent the strength of co-citation relationships between references. Co-citation prominence was derived from co-citation frequency within the Web of Science network based on co-citation counts obtained using the Bibliometrix package in R 4.5.2. References were ranked according to these counts and subsequently grouped into broad prominence levels based on their relative position in the distribution. This measure is used here as an interpretive indicator of the relative visibility and structural embeddedness of references within the co-citation network. Each paper was subsequently associated with a conceptual cluster through qualitative interpretation, based on the correspondence between its core theoretical contribution and the dominant conceptual configurations identified in the keyword co-occurrence network and thematic map. Its broader thematic positioning was then interpreted in light of the location of the corresponding cluster within the thematic map, using Callon’s centrality and density as indicative dimensions of thematic importance and development. Taken together, this procedure provides a more robust interpretation of intellectual anchors by integrating citation impact, co-citation prominence, and conceptual embeddedness.
While classical bibliometric indicators such as author-level h-indices, citation counts or even source-specific impact metrics can provide descriptive insights, they were not treated as primary analytical outputs. In terms of both our analytical focus and our reporting strategy, we prioritized structural and relational interpretations over a simple and exhaustive list of metrics. This study places emphasis on science-mapping methods, specifically those capable of capturing how the domain is conceptually organized, how its themes are configured and how its knowledge dynamics shift over time. This reflects a deliberate choice toward methodological parsimony. We wanted to avoid redundant indicators and to keep the spotlight firmly on epistemic structures rather than overemphasizing individual performance metrics. The scripts deposited in the public repository document the main preprocessing and analytical steps used to generate the reported bibliometric outputs.

3. Results

3.1. Descriptive Performance of the Corpus

3.1.1. Annual Scientific Production

Figure 3 shows highly uneven growth throughout the years. Output continued to be limited in the 1990s, generally between 1 and 3 publications per year, and remained modest in the early 2000s with 5 publications in 2004 and 6 in 2005. The initial significant peak occurred in 2008, with 11 documents followed by a decline to 4 documents in 2009, then a steadier increase between 2010 and 2012 with 10, 13 and 16 publications, respectively. A slow acceleration phase began in the mid-2010s with production rising from 17 papers in 2015 to 36 papers in 2019. Scholars’ annual production in the post-2020 era surged, reaching 53 papers in 2020 and 2021, 68 in 2022, 70 in 2023, and 78 in 2024, peaking at 89 publications in 2025. The number of produced contributions rose from 17 to 89 between 2015 and 2025, representing a compound annual growth rate (CAGR) of approximately 18%.

3.1.2. The Publishing Pillars of the Domain

Figure 4 shows, in line with the Bradford-type pattern, a high degree of concentration. A small core group of journals dominates the output, while a long tail of less frequent sources accounts for the rest of the corpus. The Journal of Business Ethics holds a clear central position within this theory-filtered segment of the literature, accounting for roughly 1/6 of the entire corpus. Surrounding this core is a second tier of influential publications, largely dominated by psychology and organizational behavior journals, including the Journal of Applied Psychology, Frontiers in Psychology, Deviant Behavior and Current Psychology. Management-focused journals also play a significant role. This distribution reflects a dual anchoring of research at the intersection of behavioral science and business ethics, which is consistent with the corpus’s dual focus.

3.1.3. Geographic Distribution and Collaboration Patterns

The United States and China are the main players in the landscape. Looking beyond raw volume and into the SCP/MCP breakdown, Figure 5 reveals two different strategic profiles: The United States combines a massive amount of domestic research with a high level of international collaboration. China matches this output, yet its lower multiple-country publications suggest a more inward-looking or internalized research orientation. A second tier of nations that operate at a more moderate scale but exhibit a deeper integration into international networks comprises mainly the UK, Australia, Canada and India, which is reflected by their higher proportion of MCP. Some countries are almost exclusively concentrated on domestic production of knowledge, suggesting more endogenous or local research dynamics. The data also indicate a more intermittent participation for countries that usually involve themselves through specific one-off collaborations instead of large-scale national research programs.

3.2. Structure of Knowledge Production

Core Contributors
Authors’ contributions (Figure 6) show a clear core-periphery structure; a small and highly active group of recurring contributors accounts for a substantial share of the output, while the majority of researchers only appear occasionally. This concentration, largely driven by key figures such as Barbaranelli, Greenbaum and Gottschalk, contributes to the intellectual continuity and consolidation observed within this corpus. In contrast, a much larger periphery contributes more sporadically, suggesting that while many engage with these topics, only a few have made them a long-term research priority.

3.3. The Conceptual Structure and the Thematic Configuration

3.3.1. Co-Occurrence Network of Authors’ Keywords

The co-occurrence network of author keywords appears relatively well-integrated, with moral disengagement being the main node. In this network, node size reflects keyword frequency, while link thickness indicates the strength of co-occurrence between terms. Colors represent clusters identified using the Louvain algorithm, grouping author keywords that frequently appear together. Within this co-occurrence network, moral disengagement appears as a central bridging keyword connecting organizational antecedents and behavioral manifestations of workplace dishonesty. Figure 7 suggests the presence of four major structural pillars, which are distinguished by color and summarized in Table 1 to facilitate interpretation. Each reflects a distinct but interconnected theoretical orientation within the literature.
The first cluster refers to a socio-cognitive framework centered around themes related to pressure. It can be interpreted as a prominent and recurrent component of this theory-filtered segment. It links theories such as moral disengagement and moral identity directly to high-pressure variables such as bottom-line mentality, performance pressure and even survival behaviors like cheating. This configuration is consistent with interpretations derived from Bandura’s cognitive perspective, which emphasizes the role of cognitive justification mechanisms in enabling individuals to disengage from their internal moral standards. Cluster 2 emphasizes the organizational context of deviance, and it primarily focuses on ethical climate, ethical leadership, and organizational justice. This cluster centers on the context of deviance where mechanisms like justice and organizational culture serve as the frameworks that either stop or encourage unethical acts. Cluster 3, the individual differences pole, focuses on behavioral ethics. It links dispositional traits such as Machiavellianism to affective processes such as shame and anger. Cluster 4 represents the normative and macro tradition, bringing together historical foundations, namely business ethics and neutralization and macro-institutional objects such as corruption.

3.3.2. Strategic Thematic Positioning

The thematic map is structured according to Callon’s centrality (x-axis) and density (y-axis). Centrality reflects the importance of a theme within the overall network, while density indicates its internal development. The four quadrants correspond to motor themes, basic themes, niche themes and emerging or declining themes. Figure 8 highlights an organization structured around a limited number of explanatory cores supplemented by specialized and emerging trends. In the quadrant of driving themes, with high centrality and high density, the ethical climate and ethical leadership cluster appears as a highly central and well-developed theme, suggesting a relatively well-developed and central thematic configuration within this corpus. The fundamental themes quadrant (the lower-right quadrant) is dominated by two related sets: (moral disengagement, moral identity and unethical pro-organizational behavior) and (ethics, unethical behavior and deviant behavior). Their centrality indicates a cross-cutting role, while their lower density suggests internal heterogeneity and fragmentation of sub-lines of research. The remaining quadrants reveal niche theme sets linking organizational climate, deviance, and whistleblowing with business ethics, corruption and deviance, indicating coherent but more compartmentalized programs. Emerging or declining themes include a group linked to pressures such as bottom-line mentality, abusive supervision and performance pressure, which is currently not very consolidated but close to the central axes, which may indicate potential for further integration.

3.3.3. Conceptual Triangulation (Multiple Correspondence Analysis, MCA)

The MCA projects keyword-document relationships into a factorial space and highlights conceptual distances and latent dimensions that help to organize this corpus analytically. In this factorial space, the axes represent latent dimensions extracted from the co-occurrence structure of keywords. The position of terms reflects their association patterns, with proximity indicating conceptual similarity. The percentage of explained inertia indicates the proportion of variance captured by each dimension. The factorial map (Figure 9) suggests the presence of two dominant dimensions. The first two dimensions explain 36.22% of the total inertia (Dim 1 = 22.69%, Dim 2 = 13.53%), indicating a reasonably robust and interpretable factorial structure.
The structure of the factorial space is driven by dimension 1, which is supported by the strongest contributing terms reported in Supplementary Table S1, while dimension 2 reflects a more diffuse and less strongly differentiated contrast. Dimension 1 is primarily structured by a contrast between socio-cognitive mechanisms including moral disengagement, social cognitive theory, psychological entitlement, organizational deviance, and organizational or normative constructs, including ethical climate, ethical leadership, ethical behavior, organizational behavior, and morality. This pattern suggests an axis opposing psychologically grounded justificatory logics to organizational and normative governance mechanisms. Dimension 2 is therefore interpreted more cautiously, as a secondary axis suggesting weaker differentiation between relational, normative, pressure-related, and deviance-related terms. Taken together, these results suggest that the MCA mainly supports a broad contrast between cognitive justification and organizational-normative regulation, rather than a sharply separated two-axis structure.

3.4. Thematic Dynamics and Emerging Trends

3.4.1. Trend Topics (DE): Emerging and Declining Topics over Time

Although the database covers publications dating back to 1989, the analysis of thematic trends focuses on the 2008–2024 period. This temporal focus is mainly explained by the emergence of the study’s key theoretical frameworks during this phase, allowing for a solid statistical analysis of the maturation of theories and concepts without the bias of dispersion from relatively sparse early publications. The trend topics visualization represents author keywords according to their temporal distribution and frequency. The horizontal axis corresponds to time, while the size of the circles reflects the frequency of keyword occurrence, highlighting the emergence, persistence, or decline of themes over time.
The thematic trends analysis (Figure 10) suggests a trajectory of conceptual specialization that supports the relevance of the theory-informed approach. The focus between 2008 and 2015 was mainly on contextual symptoms such as job satisfaction and workplace bullying rather than on the underlying explanatory mechanisms. Conceptual patterns began to crystallize between 2016 and 2022, during which moral disengagement assumed a central position in the literature, indicating its growing prominence within this segment of the literature by 2022. The more recent terms observed between 2023 and 2025 suggest increased attention to structural drivers such as performance pressure and bottom-line mentality. The emergence of unethical pro-organizational behavior suggests that scholars are increasingly drawing on established classic theories to explain why employees may engage in questionable behaviors in the perceived interest of their organization, which indicates that these theoretical frameworks remain adaptable to changing workplace contexts.

3.4.2. Evolution of Research Themes Across Balanced Publication Periods

The Sankey diagram illustrates the evolution of themes across three time periods (Figure 11). Theme continuity across periods was defined based on shared author keywords (DE), using the inclusion index to measure the degree of overlap between clusters. Themes are linked when they share a sufficient proportion of common keywords, indicating conceptual continuity over time.
Over the 1989–2012 period, the literature is characterized by relatively broad and heterogeneous thematic labels, which may correspond to an exploratory phase in which justification-related concepts, such as neutralization theory, begin to emerge. During the 2013–2019 period, a notable shift can be observed toward moral disengagement, which appears as a central integrative reference point linking contextual factors such as ethical climate with relational and managerial dynamics such as abusive supervision.
In the most recent period, the thematic structure appears more differentiated, with increasing prominence of concepts such as moral identity and ethical climate. This evolution may be interpreted as a gradual shift from isolated descriptions of unethical acts toward a broader focus on organizational and normative dimensions. Moral disengagement remains a central reference point within this segment of the literature and is increasingly associated with more standardized outcome measures, suggesting a stronger recurrence of shared conceptual references within this corpus.
These patterns suggest a progression from exploratory descriptions toward more structured and multi-level analytical frameworks within this theory-informed corpus.

3.4.3. Intellectual Anchors of This Corpus

To complement the conceptual structures identified through co-occurrence and thematic analysis, Figure 12 and Table 2 examine the intellectual anchors of this theory-filtered corpus. Figure 12 visualizes the reference co-citation structure derived from the Web of Science dataset and highlights the references most frequently cited together within this segment of the literature. Table 2 complements this structural view by combining global citation impact, co-citation prominence, and conceptual positioning. Taken together, these two representations make it possible to distinguish between broadly visible contributions and those that are more deeply embedded in the shared intellectual structure of the corpus.
The majority of the top-tier papers are either large theoretical frameworks or comprehensive reviews that typically appear in major journals dedicated to organizational behavior, business ethics or applied psychology. These core studies focus on moral cognition, organizational environment and ethical climate, along with basic methodological rules for studying deviance. In particular, several of these influential works build on key theoretical traditions such as Bandura’s social cognitive theory of moral disengagement [19], ethical climate theory [20] and research on the normalization of organizational misconduct [21].
The papers listed in Table 2 indicate that the intellectual foundation of this corpus is structured around a limited number of recurrent reference points located at the intersection of moral cognition, organizational context, and unethical conduct.
Several highly cited contributions, particularly Kish-Gephart et al. [2], Detert et al. [13], Moore et al. [3], and Umphress et al. [17], also display high co-citation prominence, suggesting that they are not only widely visible in the literature but also strongly embedded in its shared intellectual structure [2,3,4,5,6,7,8,9,10,11,12,13,14]. These works appear to function as common theoretical and empirical anchors across multiple lines of inquiry within the corpus. At the same time, the comparison between GCS and co-citation prominence indicates that citation impact and structural centrality do not fully overlap. Some references achieve broad visibility in the merged corpus without occupying an equally central position in the Web of Science co-citation network. This difference suggests that distinct forms of influence coexist within the literature, with some works contributing primarily through overall citation reach and others through stronger integration into the corpus’s recurrent reference structure.

4. Discussion

In this section, the bibliometric outputs are treated as descriptive and relational evidence, while broader claims about field development are presented as literature-informed interpretations rather than direct outputs of the science-mapping results. It is important to note that these interpretations are derived from a theory-informed and deliberately selective corpus. Accordingly, the findings reflect this specific body of work rather than the entirety of workplace dishonesty research.
From a scientometric perspective, the publication trajectory observed in this theory-filtered segment suggests a movement from limited early production toward more sustained growth and thematic concentration. This pattern can be interpreted, in light of Price’s work on the growth of scientific fields [22], as consistent with a gradual process of field organization, although the bibliometric evidence alone cannot establish full intellectual maturity. Over time, this body of work appears to have become increasingly concentrated around a prominent conceptual reference point, while broader interpretive frameworks initially remained more fragmented.
This evolution may be read in relation to increasing organizational complexity and heightened performance regimes, both of which may help contextualize the growing prominence of justificatory dynamics. The current state suggests that issues of moral justification and governance may be increasingly salient within this segment of the literature [2,23]. The distribution of contributors in this segment of the literature does not necessarily indicate fragmentation; rather, it reflects the interdisciplinary appeal of the topic. Rather than being organized around a single dominant voice, this segment of the literature brings together several theoretical traditions that coexist while remaining broadly comparable. This configuration may be read as a form of theoretical plurality rather than as definitive evidence of paradigmatic pluralism. In Whitley’s terms, such plurality can be understood as the coexistence of partially differentiated research traditions [14], but the present bibliometric results should be treated as indicative of this pattern rather than as direct proof of it. Such plurality may be beneficial for this line of research insofar as it opens up avenues for connecting cognitive, organizational and institutional views [1]. In practical terms, this plurality is reflected in the coexistence of several major theoretical traditions within this theory-filtered segment. Prominent among them are socio-cognitive explanations of dishonest behavior, organizational ethics frameworks focusing on ethical climate and leadership, and research on workplace deviance and misconduct. Together, these perspectives offer different but interconnected lenses through which dishonest practices are conceptualized within organizations.
The concentration of publications within a limited set of outlets may indicate a degree of institutional stabilization within this theory-filtered segment. However, this should be understood as an inferential interpretation of publication patterns rather than as direct evidence that the field has reached maturity. Such concentration may reflect a broader process of institutionalization in which evaluation standards, legitimate frameworks, and methodological expectations become increasingly stabilized [24]. The presence of research on business ethics and organizational psychology suggests a differentiated division of intellectual labor. This corpus therefore reflects both normative and mechanism-oriented orientations. This dual anchoring may help explain the sustained expansion of this segment of the literature. As measurement tools and analytical models become more standardized, the literature may become more cumulative and more readily coordinated across journals.
The patterns emerging from the co-lexical and factorial analyses suggest a coherent conceptual organization of this theory-filtered segment around a relatively small number of frequently associated explanatory mechanisms. The co-citation analysis provides convergent support for this interpretation by indicating a relatively stable set of influential references underlying these conceptual patterns. In particular, several of the most highly co-cited references identified in Table 2 appear as central anchors in the network. This convergence between co-occurrence, factorial and co-citation analyses reinforces the robustness of the identified structure, suggesting that the observed clusters are unlikely to be solely artifacts of author-keyword aggregation and are consistent with recurrent conceptual proximities. Within this structure, moral disengagement appears as a particularly central reference point. It can be interpreted as a bridging construct within this corpus, linking several strands of research including organizational pressures, leadership dynamics, identity-related processes and behavioral manifestations of workplace dishonesty. The prominence of moral disengagement theory may also indicate a shift within this segment of the literature toward a more socio-cognitive interpretation of unethical behavior. Recent empirical and meta-analytical research has further reinforced the explanatory power of moral disengagement in predicting unethical workplace behavior, particularly in high-pressure and performance-oriented organizational contexts [5]. From this perspective, such behaviors cannot be reduced to individual moral deficiencies or weak regulatory frameworks (rules). Instead, they are often discussed in relation to mental justification processes that attenuate moral self-regulation as described by Bandura [19]. This socio-cognitive orientation appears particularly visible in recent studies examining digital work environments [25]. The recurrent association between moral disengagement, results-oriented thinking, abusive supervision, and unethical outcomes further suggests that this corpus may increasingly appear to reflect a context-sensitive understanding of these behaviors, highlighting their organizationally situated and occasionally instrumentalized dimensions [12].
These patterns become even more meaningful when viewed in light of the rapid development of this theory-filtered segment of the literature that occurred over the past decade. The chronological analysis suggests a gradual movement beyond a mainly descriptive orientation toward more explicit theoretical explanation. Earlier studies tended to focus mainly on broad themes such as job satisfaction and white-collar crime, whereas more recent works appear to engage more explicitly with theoretical explanation. The increased visibility of moral disengagement since 2022 may reflect a stronger stabilization of moral disengagement as a recurring interpretive lens within this corpus, particularly when considered alongside prior theoretical and meta-analytical work and in relation to earlier explanatory frameworks such as neutralization theory [26]. A marked transition becomes visible between 2023 and 2025 with the joint emergence of concepts such as bottom-line mentality, unethical pro-organizational behavior and performance pressure. This pattern is also in line with recent review-based scholarship showing that unethical pro-organizational behavior has become a more clearly consolidated line of inquiry, with growing attention to its antecedents, boundary conditions and theoretical integration within organizational ethics research [27]. Taken together, these patterns may signal a growing research interest in the intersection between performance-oriented organizational demands and justificatory mechanisms [28]. Rather than demonstrating a turning point in the field, the observed trend should be interpreted more cautiously as an emerging emphasis that is consistent with recent literature on bottom-line mentality, unethical pro-organizational behavior, and performance pressure. Recent work on bottom-line mentality supports this reading by showing that performance-focused organizational frames can channel employee cognition and behavior in both constructive and dysfunctional directions, thereby reinforcing the relevance of pressure-based explanatory mechanisms in this segment of the literature [29]. The proliferation of studies since 2022 suggests an increasing tendency to mobilize moral disengagement theory as an interpretive lens for examining ethical frictions associated with post-pandemic productivity demands and economic uncertainty. Ultimately, the results of this analysis suggest that moral disengagement is increasingly mobilized within this corpus as an interpretive lens for examining high-pressure organizational contexts.
Our thematic mapping suggests the presence of a potential structural tension; there appears to be a gap between the visibility of a theory and its internal development. This theory-filtered segment identifies moral disengagement and moral identity theories as its main topics, yet their status as fundamental themes suggests that they may often be used as a standardized framework rather than being deeply expanded [23]. Other important themes like performance pressure and abusive supervision appear to be in an early stage of structural consolidation. They are clearly relevant, but they have not yet reached the same level of structural maturity or widespread use as the dominant frameworks. They are gaining ground, but their further development may depend on additional conceptual clarification regarding the processes through which they are linked to unethical outcomes [12].
The persistent compartmentalization of certain related topics suggests the existence of internal boundaries within this line of research that may limit the development of more integrative models linking ethical degradation, justification and regulation [23]. MCA offers additional, but necessarily interpretive, support for this reading by identifying latent dimensions whose interpretation is anchored in the strongest contributing terms (Supplementary Table S1). While the first dimension appears clearly structured, the second dimension reflects a more diffuse and less strongly differentiated contrast. It helps move beyond a purely algorithmic reading of clusters, as discussed by Hedström et al. [13], by highlighting broader conceptual dimensions within this corpus. The convergence between three different analytical methods (co-occurrence networks, thematic positioning and factorial structure) suggests that the identified architecture is consistent with recurring theoretical contrasts within this line of organizational ethics research.
The analysis of thematic development suggests that this architecture did not emerge abruptly, but rather developed through gradual maturation. The shift from fragmented terminology toward a unified framework centered on moral disengagement theory may reflect the increasing theoretical coherence of this body of work. For many years, researchers relied on Robinson and Bennett’s scales [30,31], which became widely used reference instruments for measuring dishonesty in the workplace. This move toward standardization may have helped stabilize the way different outcomes are categorized.
Our scientific mapping suggests an increasing emphasis on linking individual behavior to broader organizational conditions rather than examining behavior in isolation. Instead, there appears to be a shift in the literature toward linking psychological-level processes more closely with broader organizational conditions. This transition may indicate a growing interest in capturing a broader perspective by moving beyond isolated individual behavior to understand the interaction between the broader work environment and a person’s own internal moral framework. One of the most striking results was the consistency between recent trending topics and the most frequently cited classics, which is consistent with the presence of a relatively stable intellectual base that has guided our understanding of deviance within this line of research for decades. However, this stability does not imply that this line of research is closed; rather, it may provide a relatively solid foundation for further theoretical development. This consistency is further reinforced by the co-citation structure, which suggests that contemporary developments remain anchored in a relatively stable set of highly co-cited foundational references.

5. Toward a Conditional Refinement of Dominant Explanatory Frameworks

The results of this bibliometric analysis, interpreted alongside the reviewed literature, suggest a possible direction for future research concerning the uneven relationship between the centrality and the internal development of dominant explanatory frameworks. As indicated by the thematic map (Figure 8), constructs such as moral disengagement, moral identity, and unethical pro-organizational behavior occupy a central position within the corpus, while exhibiting lower internal density than motor themes such as ethical climate and ethical leadership.
This configuration suggests that these frameworks appear frequently across the mapped corpus, yet their internal development seems uneven. Future research could therefore move beyond repeatedly confirming their relevance and instead focus on specifying their boundary conditions, examining how their explanatory role varies across organizational contexts, and exploring their interaction with more recent constructs such as performance pressure and bottom-line mentality identified in the trend analysis (Figure 10).

6. Conclusions

This study provides a theory-informed bibliometric mapping of a deliberately selective segment of the literature on workplace dishonesty, centered on dominant socio-cognitive and organizational explanatory mechanisms. Rather than aiming at an exhaustive synthesis, the analysis focuses on how this theory-filtered corpus is structured, how it has evolved, and which conceptual configurations currently organize this line of research.
The results highlight three main insights. First, this corpus shows signs of increasing organization, both in scientific production and conceptual structure. The literature has moved beyond an exploratory phase toward a more structured configuration anchored in a limited set of recurrent explanatory frameworks. Second, this configuration is organized around a small number of central constructs, most notably moral disengagement and ethical climate, which emerge as key reference points at the intersection of individual-level processes and organizational contexts. Third, despite this consolidation, the analysis indicates the persistence of structural contrasts between socio-cognitive, organizational, and normative perspectives, suggesting that the integration of these dimensions remains only partial.
Taken together, these findings suggest a degree of consolidation within this theory-filtered segment, particularly around recurrent constructs such as moral disengagement and ethical climate. However, this consolidation should be understood as an interpretive inference from publication patterns, keyword structures, thematic positioning, and co-citation anchors, rather than as direct evidence of full field maturity. The coexistence of recurrent frameworks and unresolved structural contrasts suggests that this research area may be evolving through the organization of existing explanatory logics rather than through the replacement of one dominant paradigm by another.
By combining multiple science-mapping techniques within a theory-informed design, this study contributes to the literature in two ways. Empirically, it provides a structured overview of the performance, organization, and evolution of this corpus. Conceptually, it identifies how dominant explanatory mechanisms are positioned and interconnected within this segment, thereby offering a structured interpretation of its conceptual organization.
Overall, the findings suggest that, within this corpus, dishonest behavior is increasingly examined in relation to cognitive justification mechanisms, organizational conditions, and performance-related pressures. Future research may therefore benefit less from expanding the range of constructs than from refining the conditions under which existing frameworks operate, and from examining how their explanatory roles vary across organizational contexts.

7. Limitations

This study is based on a theory-informed and deliberately selective corpus and therefore does not aim to represent the full scope of workplace dishonesty research. Instead, it provides a focused mapping of dominant socio-cognitive and organizational explanatory mechanisms within this specific segment of the literature. The findings should therefore be interpreted within the boundaries of this analytical design.
First, the scope of the analysis is partly determined by the databases used and by their respective indexing protocols. It is inevitable that some relevant works published outside Scopus and Web of Science may have been excluded.
Second, the composition of the dataset is also influenced by the search strategy adopted for the review. We adopted a theory-informed query to focus on specific theoretical perspectives. However, this approach may have unintentionally favored certain theoretical traditions over others that did not explicitly employ our designated search terms.
Third, methodological constraints related to scientometric mapping should also be acknowledged. Accordingly, co-occurrence networks, thematic maps and MCA are interpreted here as tools for identifying patterns of association, clustering and conceptual proximity, rather than as direct evidence of causal, generative or statistically confirmed theoretical mechanisms. These analytical approaches rely strongly on author-defined keywords and on citation patterns, which often reflect disciplinary labeling conventions rather than the raw conceptual core of the research itself.
An additional limitation concerns the reference co-citation analysis, which was conducted on the Web of Science dataset only rather than on the merged corpus. This was a deliberate methodological choice made to improve the stability and interpretability of the co-citation network, in line with Bibliometrix guidance regarding the limitations of citation and co-citation analysis for merged databases [10]. However, this also means that some works with high citation impact in the merged corpus may appear less prominent in the co-citation structure. The co-citation results should therefore be interpreted as reflecting the intellectual structure captured within the Web of Science reference network rather than the entirety of citation relationships across the merged dataset.
Finally, citation-based indicators naturally exhibit a time-lag bias favoring older and established publications. This can create a visibility bias where foundational theoretical anchors appear disproportionately prominent compared to more recent and innovative contributions that have not yet had sufficient time to accumulate a comparable volume of citations.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/soc16050149/s1, Table S1: Principal term contributions supporting the interpretation of the MCA factorial structure based on author keywords (DE).

Author Contributions

Conceptualization, S.E.M.; methodology, S.E.M. and O.B.; software, S.E.M.; validation, S.E.M., Y.E.G., F.Z.H. and O.B.; formal analysis, S.E.M. and O.B.; investigation, S.E.M. and O.B.; resources, S.E.M., Y.E.G. and F.Z.H.; data curation, S.E.M.; writing—original draft preparation, S.E.M. and O.B.; writing—review and editing, S.E.M., Y.E.G., F.Z.H. and O.B.; visualization, S.E.M., Y.E.G., F.Z.H. and O.B.; supervision, O.B.; project administration, O.B.; funding acquisition, S.E.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

To enhance transparency and reproducibility, the processed bibliometric dataset underlying this review has been made openly available through Mendeley Data [32]: [https://doi.org/10.17632/ry58wfxfmn.1]. The shared materials include the merged bibliometric dataset used for performance analyses, the Excel screening file used for manual validation of conceptual eligibility, and the R scripts used for data merging, deduplication, rule-based pre-filtering, and co-citation analysis. Because the source data were retrieved from proprietary databases (WoS and Scopus), redistribution of the raw export files may be subject to database licensing restrictions. However, the deposited materials are sufficient to reproduce the processing workflow and the analyses reported in this study.

Acknowledgments

The first author would like to thank the National Center for Scientific and Technical Research (CNRST) for the financial support provided through the PhD Associate Scholarship (PAS) program.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Treviño, L.K.; Weaver, G.R.; Reynolds, S.J. Behavioral ethics in organizations: A review. J. Manag. 2006, 32, 951–990. [Google Scholar] [CrossRef]
  2. Kish-Gephart, J.J.; Harrison, D.A.; Treviño, L.K. Bad apples, bad cases, and bad barrels: Meta-analytic evidence about sources of unethical decisions at work. J. Appl. Psychol. 2010, 95, 1–31. [Google Scholar] [CrossRef]
  3. Moore, C.; Detert, J.R.; Treviño, L.K.; Baker, V.L.; Mayer, D.M. Why employees do bad things: Moral disengagement and unethical organizational behavior. Pers. Psychol. 2012, 65, 1–48. [Google Scholar] [CrossRef]
  4. Greenbaum, R.L.; Mawritz, M.B.; Eissa, G. Bottom-line mentality as an antecedent of social undermining and the moderating roles of core self-evaluations and conscientiousness. J. Appl. Psychol. 2012, 97, 343–359. [Google Scholar] [CrossRef] [PubMed]
  5. Ogunfowora, B.T.; Nguyen, V.Q.; Steel, P.; Hwang, C.C. A meta-analytic investigation of the antecedents, theoretical correlates, and consequences of moral disengagement at work. J. Appl. Psychol. 2021, 107, 746–775. [Google Scholar] [CrossRef]
  6. Vu Lan Oanh, L.; Tettamanzi, P.; Tien Minh, D.; Comoli, M.; Mouloudj, K.; Murgolo, M.; Dang Thu Hien, M. How ethical behavior is considered in different contexts: A bibliometric analysis of global research trends. Adm. Sci. 2024, 14, 200. [Google Scholar] [CrossRef]
  7. Aria, M.; Cuccurullo, C. bibliometrix: An R-tool for comprehensive science mapping analysis. J. Informetr. 2017, 11, 959–975. [Google Scholar] [CrossRef]
  8. Aria, M.; Cuccurullo, C. Science Mapping Analysis—A primer with Biblioshiny; McGraw-Hill: Columbus, OH, USA, 2026. [Google Scholar]
  9. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021, 372, n71. [Google Scholar] [CrossRef]
  10. Bibliometrix. Frequently Asked Questions (FAQ). Available online: https://www.bibliometrix.org/home/index.php/faq (accessed on 17 April 2026).
  11. Delmas, M.A.; Burbano, V.C. The Drivers of Greenwashing. Calif. Manag. Rev. 2011, 54, 64–87. [Google Scholar] [CrossRef]
  12. Ashforth, B.E.; Anand, V. The Normalization of Corruption in Organizations. Res. Organ. Behav. 2003, 25, 1–52. [Google Scholar] [CrossRef]
  13. Detert, J.R.; Treviño, L.K.; Sweitzer, V.L. Moral Disengagement in Ethical Decision Making: A Study of Antecedents and Outcomes. J. Appl. Psychol. 2008, 93, 374–391. [Google Scholar] [CrossRef]
  14. Treviño, L.K.; Butterfield, K.D.; McCabe, D.L. The Ethical Context in Organizations: Influences on Employee Attitudes and Behaviors. Bus. Ethics Q. 1998, 8, 447–476. [Google Scholar] [CrossRef]
  15. Tenbrunsel, A.E.; Messick, D.M. Ethical Fading: The Role of Self-Deception in Unethical Behavior. Soc. Justice Res. 2004, 17, 223–236. [Google Scholar] [CrossRef]
  16. Lim, V.K.G. The IT Way of Loafing on the Job: Cyberloafing, Neutralizing and Organizational Justice. J. Organ. Behav. 2002, 23, 675–694. [Google Scholar] [CrossRef]
  17. Umphress, E.E.; Bingham, J.B. When Employees Do Bad Things for Good Reasons: Examining Unethical Pro-Organizational Behaviors. Organ. Sci. 2011, 22, 621–640. [Google Scholar] [CrossRef]
  18. Anand, V.; Ashforth, B.E.; Joshi, M. Business as Usual: The Acceptance and Perpetuation of Corruption in Organizations. AMP 2004, 18, 39–53. [Google Scholar] [CrossRef]
  19. Bandura, A. Moral disengagement in the perpetration of inhumanities. Personal. Soc. Psychol. Rev. 1999, 3, 193–209. [Google Scholar] [CrossRef]
  20. Victor, B.; Cullen, J.B. The organizational ethical climate: A conceptualization and measurement. Adm. Sci. Q. 1988, 33, 101–125. [Google Scholar] [CrossRef]
  21. Hedström, P.; Swedberg, R. (Eds.) Social Mechanisms: An Analytical Approach to Social Theory; Cambridge University Press: Cambridge, UK, 1998. [Google Scholar]
  22. Price, D.J.D.S. Little Science, Big Science; Columbia University Press: New York, NY, USA, 1963. [Google Scholar]
  23. Treviño, L.K.; den Nieuwenboer, N.A.; Kish-Gephart, J.J. (Un)ethical behavior in organizations. Annu. Rev. Psychol. 2014, 65, 635–660. [Google Scholar] [CrossRef]
  24. Whitley, R. The Intellectual and Social Organization of the Sciences, 2nd ed.; Oxford University Press: Oxford, UK, 2000. [Google Scholar]
  25. Gao, S.; Jia, Y.; Liu, B.; Mu, W. Algorithmic monitoring increases unethical behavior in gig workers: The mediating role of moral disengagement. Inf. Technol. People 2024, 38, 2506–2530. [Google Scholar] [CrossRef]
  26. Moore, C. Moral disengagement in processes of organizational corruption. J. Bus. Ethics 2008, 80, 129–139. [Google Scholar] [CrossRef]
  27. Mukherjee, U.; Saritha, S.R. Unethical pro-organizational behavior: A systematic literature review and research agenda. Int. J. Ethics Syst. 2024, 42, 378–417. [Google Scholar] [CrossRef]
  28. Chen, M.; Chen, C.C.; Sheldon, O.J. Relaxing moral reasoning to win: How organizational identification relates to unethical pro-organizational behavior. J. Appl. Psychol. 2016, 101, 1082–1096. [Google Scholar] [CrossRef] [PubMed]
  29. Greenbaum, R.L.; Mawritz, M.B.; Zaman, N. The construct of bottom-line mentality: Where we’ve been and where we’re going. J. Manag. 2023, 49, 2109–2147. [Google Scholar] [CrossRef]
  30. Robinson, S.L.; Bennett, R.J. A typology of deviant workplace behaviors: A multidimensional scaling study. Acad. Manag. J. 1995, 38, 555–572. [Google Scholar] [CrossRef] [PubMed]
  31. Bennett, R.J.; Robinson, S.L. Development of a measure of workplace deviance. J. Appl. Psychol. 2000, 85, 349–360. [Google Scholar] [CrossRef] [PubMed]
  32. El Majdoubi, S.; El guenuni, Y.; Hadran, F.Z.; Boubker, O. Processed Bibliometric Dataset, Screening File, and R Scripts for “Mapping the Socio-Cognitive Architecture of Workplace Dishonesty: A Theory-Informed Bibliometric Review of Selected Explanatory Mechanisms”; Mendeley Data: London, UK, 2026; Version 1. [Google Scholar] [CrossRef]
Figure 1. Data sources, three-block Boolean search strategy, and eligibility criteria.
Figure 1. Data sources, three-block Boolean search strategy, and eligibility criteria.
Societies 16 00149 g001
Figure 2. PRISMA 2020 flow diagram of the identification, screening, and inclusion process.
Figure 2. PRISMA 2020 flow diagram of the identification, screening, and inclusion process.
Societies 16 00149 g002
Figure 3. Annual publication trends (1989–2025).
Figure 3. Annual publication trends (1989–2025).
Societies 16 00149 g003
Figure 4. Most productive sources and editorial concentration in the domain.
Figure 4. Most productive sources and editorial concentration in the domain.
Societies 16 00149 g004
Figure 5. Production by country of corresponding authors and collaboration profiles.
Figure 5. Production by country of corresponding authors and collaboration profiles.
Societies 16 00149 g005
Figure 6. Central contributors and distribution of productivity.
Figure 6. Central contributors and distribution of productivity.
Societies 16 00149 g006
Figure 7. Network of co-occurrence of DE.
Figure 7. Network of co-occurrence of DE.
Societies 16 00149 g007
Figure 8. Thematic map (DE): Strategic positioning of themes according to centrality (importance within this corpus) and density (internal cohesion).
Figure 8. Thematic map (DE): Strategic positioning of themes according to centrality (importance within this corpus) and density (internal cohesion).
Societies 16 00149 g008
Figure 9. Factorial map and latent dimensions.
Figure 9. Factorial map and latent dimensions.
Societies 16 00149 g009
Figure 10. Trending topics in authors’ keywords.
Figure 10. Trending topics in authors’ keywords.
Societies 16 00149 g010
Figure 11. Sankey-style flow of DE across three time periods defined by publication tertiles (1989–2012; 2013–2019; 2020–2025).
Figure 11. Sankey-style flow of DE across three time periods defined by publication tertiles (1989–2012; 2013–2019; 2020–2025).
Societies 16 00149 g011
Figure 12. Reference co-citation network based on the Web of Science dataset.
Figure 12. Reference co-citation network based on the Web of Science dataset.
Societies 16 00149 g012
Table 1. Structural interpretation of co-occurrence clusters.
Table 1. Structural interpretation of co-occurrence clusters.
ClusterColorConceptual
Orientation
Representative Keywords
(from Figure 7)
Analytical
Interpretation
Cluster 1Societies 16 00149 i001Socio-cognitive mechanism
under pressure
Moral disengagement, moral identity, performance pressure, bottom-line mentality, cheating, anger, social cognitive theory, organizational deviance, abusive supervision. Suggests a central socio-cognitive structure linking moral disengagement to high-pressure organizational contexts and deviant outcomes.
Cluster 2Societies 16 00149 i002Organizational normative frameworksEthical climate, ethical leadership, organizational justice, organizational climate, ethical culture, workplace bullying, job satisfaction, organizational commitment. Indicates the role of organizational context and governance mechanisms in shaping ethical norms and regulating workplace behavior.
Cluster 3Societies 16 00149 i003Behavioral and relational
mechanisms
Unethical behavior, organizational citizenship behavior, counterproductive work behavior, neutralization, leadership,
performance, workplace.
Reflects intermediate behavior process linking organizational context and individual actions.
Cluster 4Societies 16 00149 i004Macro and
institutional
ethical
perspectives
Business ethics, ethics, morality, decision-making, organizational culture, corruption, ethical decision-making. Represents broader ethical frameworks and institutional
perspectives structuring the understanding of unethical
conduct.
Table 2. Intellectual anchors of the corpus: global citation impact, co-citation prominence, and conceptual positioning.
Table 2. Intellectual anchors of the corpus: global citation impact, co-citation prominence, and conceptual positioning.
RankReference
(Short Version)
Global
Citation (GCS)
Co-Citation ProminenceAssociated
Cluster
PositionConceptual
Contribution
DOI
1Delmas [11], Calif Manage Rev1419Not among top co-cited referencesCluster 2 (ethical context and decision-making)Niche (business ethics and corruption line)Demonstrates how organizational structures shape unethical practices10.1525/cmr.2011.54.1.64
2Kish-Gephart [2], J Appl Psychol1138Core reference (high co-citation prominence)Bridge (Clusters 1–2)Motor (ethical context) + Basic (unethical behavior outcomes)Incorporate individual and contextual factors into unethical decisions10.1037/a0017103
3Ashforth [12], Res Organ Behav936Moderately
co-cited reference
Cluster 2 (ethical context and decision-
making)
Niche (corruption–
Business ethics)
Theorizes the cognitive and social normalization of reprehensible behavior10.1016/S0191-3085(03)25001-2
4Detert [13], J Appl Psychol842Core reference (high
co-citation prominence)
Cluster 1 (moral disengagement and managerial stressors)Basic (high centrality, lower density)Empirically operationalizes moral disengagement in an organizational context10.1037/0021-9010.93.2.374
5Treviño [14], Bus. Ethics Q.791Not among most top
co-cited
references
Cluster 2 (ethical climate/decision-making)Motor (ethical climate/leadership)Founding framework linking organizational context and moral judgment10.5840/10.2307/3857431
6Moore [3], Pers Psychol748Core reference (high
co-citation
prominence)
Cluster 1 (moral disengagement & managerial stressors)Basic (high centrality, lower density)Explains the cognitive mechanisms that facilitate transgression10.1111/j.1744-6570.2011.01237.x
7Tenbrunsel, [15], Soc. Justice Res.554Moderately
co-cited
reference
Cluster 2 (decision-
making and ethics)
Basic-to-motor bridge (ethics/unethical behavior)Shows how the moral dimension becomes invisible in decision-making10.1023/B:SORE.0000027411.35832.53
8Lim [16], J Organ Behav528Weakly
co-cited
reference
Cluster 3
(CWB/workplace deviance)
Emerging/
Declining (cyberloafing–ethical judgment)
Stabilizes the forms and measures of deviance at work10.1002/job.161
9Umphress [17], Organ Sci493Strongly
co-cited
reference
Cluster 1 (moral disengagement–
UPB–
leadership)
Basic (UPB tied to moral identity/
disengagement)
Introduces the paradox of unethical pro-organizational behaviors10.1287/orsc.1100.0559
10Anand [18], Acad Manage Exec411Not among most top
co-cited
references
Cluster 2 (ethical context and decision-making)Niche (corruption–
business ethics)
Demonstrates the enduring organizational anchoring of unethical practices10.5465/AME.2004.13837437
(Note. Global Citation Scores (GCS) were calculated on the merged Scopus and Web of Science corpus. Co-citation prominence was derived from the Web of Science reference network only, in line with the Bibliometrix guidance, indicating that citation and co-citation analyses are not suitable for merged databases at present because cited-reference items remain heterogeneous across sources and may require extensive cleaning, especially for Scopus records [10]. The two indicators therefore capture different dimensions of influence and do not necessarily identify the same works. Cluster association and thematic position were assigned through qualitative interpretation based on the correspondence between each paper’s core contribution and the conceptual structures identified in the keyword co-occurrence network and thematic map).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

El Majdoubi, S.; El Guenuni, Y.; Hadran, F.Z.; Boubker, O. Mapping the Socio-Cognitive Architecture of Workplace Dishonesty: A Theory-Informed Bibliometric Review of Selected Explanatory Mechanisms. Societies 2026, 16, 149. https://doi.org/10.3390/soc16050149

AMA Style

El Majdoubi S, El Guenuni Y, Hadran FZ, Boubker O. Mapping the Socio-Cognitive Architecture of Workplace Dishonesty: A Theory-Informed Bibliometric Review of Selected Explanatory Mechanisms. Societies. 2026; 16(5):149. https://doi.org/10.3390/soc16050149

Chicago/Turabian Style

El Majdoubi, Soukayna, Yassir El Guenuni, Fatima Zahrae Hadran, and Omar Boubker. 2026. "Mapping the Socio-Cognitive Architecture of Workplace Dishonesty: A Theory-Informed Bibliometric Review of Selected Explanatory Mechanisms" Societies 16, no. 5: 149. https://doi.org/10.3390/soc16050149

APA Style

El Majdoubi, S., El Guenuni, Y., Hadran, F. Z., & Boubker, O. (2026). Mapping the Socio-Cognitive Architecture of Workplace Dishonesty: A Theory-Informed Bibliometric Review of Selected Explanatory Mechanisms. Societies, 16(5), 149. https://doi.org/10.3390/soc16050149

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop