Subtopic Deep Dive
Workaholism Antecedents and Personality Traits
Research Guide
What is Workaholism Antecedents and Personality Traits?
Workaholism antecedents and personality traits refer to personality factors such as perfectionism, Type A behavior, and self-determination motivations that predict compulsive work tendencies.
Researchers identify traits like self-efficacy and motivational orientations as key predictors of workaholism's excessive and compulsive components (Van den Broeck et al., 2011; Andreassen, 2013). Studies employ self-determination theory and longitudinal designs to link these traits to workaholism. Over 10 papers from the list examine these connections, with foundational works garnering 100+ citations each.
Why It Matters
Identifying personality antecedents enables organizations to screen for workaholism risks and implement targeted interventions, reducing burnout and enhancing well-being (Schaufeli et al., 2013). Van den Broeck et al. (2011) show self-determined motivations predict better outcomes, informing leadership training. Andreassen (2013) calls for longitudinal studies to guide prevention in high-risk professions.
Key Research Challenges
Conceptual Clarity Lack
Workaholism lacks unified definition, complicating trait-antecedent links (Andreassen, 2013). Studies mix behavioral and motivational measures. Future work needs firm parameters for health and behavior.
Longitudinal Evidence Gap
Most research is cross-sectional, limiting causality claims between traits and workaholism (Andreassen, 2013). Van den Broeck et al. (2011) highlight need for time-lagged designs. Meta-analyses like Bennett et al. (2017) urge prospective studies.
Trait Interaction Complexity
Personality traits interact with demands, yielding dark and bright sides like overload versus engagement (Del Líbano et al., 2012). Egorov and Szabó (2013) propose interactional models for antecedents. Typologies mix workaholics with burned-out profiles (Salanova et al., 2013).
Essential Papers
The Meaning, Antecedents and Outcomes of Employee Engagement: A Narrative Synthesis
Catherine Bailey, Adrian Madden, Kerstin Alfes et al. · 2015 · International Journal of Management Reviews · 783 citations
The claim that high levels of engagement can enhance organizational performance and individual well‐being has not previously been tested through a systematic review of the evidence. To bring cohere...
Recovery from work‐related effort: A meta‐analysis
Andrew Bennett, Arnold B. Bakker, James G. Field · 2017 · Journal of Organizational Behavior · 361 citations
Summary This meta‐analytic study examines the antecedents and outcomes of four recovery experiences: psychological detachment, relaxation, mastery, and control. Using 299 effect sizes from 54 indep...
Recovery from Work: Advancing the Field Toward the Future
Sabine Sonnentag, Bonnie Hayden Cheng, Stacey L. Parker · 2021 · Annual Review of Organizational Psychology and Organizational Behavior · 281 citations
Unwinding and recovering from everyday work is important for sustaining employees’ well-being, motivation, and job performance. Accordingly, research on work recovery has grown tremendously in the ...
Workaholism: An overview and current status of the research
Cecilie Schou Andreassen · 2013 · Journal of Behavioral Addictions · 267 citations
At present, workaholism as a construct lacks conceptual and empirical clarity. Future research efforts should prioritize longitudinal studies as well as studies incorporating unbiased, firm paramet...
A Meta-Analysis on Antecedents and Outcomes of Detachment from Work
Johannes Wendsche, Andrea Lohmann-Haislah · 2017 · Frontiers in Psychology · 265 citations
Detachment from work has been proposed as an important non-work experience helping employees to recover from work demands. This meta-analysis (86 publications, <i>k</i> = 91 independent study sampl...
The Bergen Shopping Addiction Scale: reliability and validity of a brief screening test
Cecilie Schou Andreassen, Mark D. Griffiths, Ståle Pallesen et al. · 2015 · Frontiers in Psychology · 255 citations
Although excessive and compulsive shopping has been increasingly placed within the behavioral addiction paradigm in recent years, items in existing screens arguably do not assess the core criteria ...
The exercise paradox: An interactional model for a clearer conceptualization of exercise addiction
A. Yu. Egorov, Attila Szabó · 2013 · Journal of Behavioral Addictions · 207 citations
An interactional model is offered accounting for the adoption, maintenance, and transformation of exercise behavior. The here proposed model has an idiosyncratic black-box containing the antecedent...
Reading Guide
Foundational Papers
Start with Andreassen (2013) for overview and research gaps; Van den Broeck et al. (2011) for self-determination motivations; Del Líbano et al. (2012) for self-efficacy's dual sides.
Recent Advances
Griffiths et al. (2018) debunks myths; Sonnentag et al. (2021) advances recovery-trait integration; Spagnoli et al. (2020) examines technostress moderators.
Core Methods
Self-report scales for workaholism and traits; self-determination theory frameworks; meta-analyses of detachment and recovery; typological clustering (Salanova et al., 2013).
How PapersFlow Helps You Research Workaholism Antecedents and Personality Traits
Discover & Search
Research Agent uses searchPapers and citationGraph on 'workaholism personality traits' to map 250+ related papers, centering Andreassen (2013) with 267 citations. exaSearch uncovers niche longitudinal studies; findSimilarPapers expands from Van den Broeck et al. (2011) to self-determination links.
Analyze & Verify
Analysis Agent applies readPaperContent to extract trait measures from Van den Broeck et al. (2011), then verifyResponse with CoVe checks causality claims against meta-analyses like Bennett et al. (2017). runPythonAnalysis performs correlation meta-synthesis on effect sizes; GRADE grades evidence for longitudinal gaps.
Synthesize & Write
Synthesis Agent detects gaps in trait-recovery links from Sonnentag et al. (2021), flags contradictions between dark-side self-efficacy (Del Líbano et al., 2012). Writing Agent uses latexEditText, latexSyncCitations for trait typology tables, latexCompile for review drafts, exportMermaid for antecedent flowcharts.
Use Cases
"Run meta-regression on personality trait effect sizes predicting workaholism from these 10 papers."
Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas meta-regression on extracted sizes from Andreassen 2013, Van den Broeck 2011) → CSV of coefficients and p-values.
"Draft LaTeX section on Type A traits as workaholism antecedents with citations."
Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations (from Salanova 2013, Del Líbano 2012) → latexCompile → PDF section with compiled typology table.
"Find GitHub repos analyzing workaholism survey data linked to these papers."
Research Agent → paperExtractUrls (Schaufeli papers) → Code Discovery → paperFindGithubRepo → githubRepoInspect → List of 3 repos with trait dataset scripts.
Automated Workflows
Deep Research workflow synthesizes 50+ papers into structured antecedent report: searchPapers → citationGraph → GRADE grading → exportBibtex. DeepScan's 7-steps verify trait claims via CoVe checkpoints on Andreassen (2013). Theorizer generates interactional models from Egorov & Szabó (2013) traits to predict well-being outcomes.
Frequently Asked Questions
What defines workaholism antecedents and personality traits?
Personality factors like perfectionism, Type A behavior, and self-determination motivations predict workaholism's compulsive and excessive work (Van den Broeck et al., 2011; Andreassen, 2013).
What methods study these antecedents?
Studies use self-determination theory surveys, longitudinal designs, and typologies distinguishing workaholics from engaged workers (Van den Broeck et al., 2011; Salanova et al., 2013).
What are key papers?
Foundational: Andreassen (2013, 267 citations), Van den Broeck et al. (2011, 178 citations); recent: Griffiths et al. (2018, 193 citations) on myths.
What open problems exist?
Need longitudinal studies and conceptual clarity; integrate recovery experiences with traits (Andreassen, 2013; Sonnentag et al., 2021).
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