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The SMART model of work design: A higher order structure to help see the wood from the trees
Citation. Parker, S. K. & Knight, C. (2023). The SMART model of work design: A higher order structure to help see the wood from the trees. Human Resource Management, 63(2), 265–291. https://doi.org/10.1002/hrm.22200
Summary. Parker and Knight develop and test SMART work design, an integrative model that organizes established work characteristics into stimulating, mastery, autonomous, relational, and tolerable categories. Across three studies, the proposed higher-order structure fit better than alternatives and its categories related to job satisfaction and leader-rated performance through theoretically specified pathways. The open-access, peer-reviewed article provides a non-AI foundation for evaluating how technological change and AI redesign work.
Key claims
- SMART groups task variety, skill variety, information processing, and problem-solving demands as stimulating; feedback and role clarity as mastery; decision, timing, and method autonomy as autonomous; social support, task significance, and beneficiary contact as relational; and low role overload, work–home conflict, and role conflict as tolerable work characteristics.
- A five-factor higher-order model fit study-1 data from 1,107 working participants and replicated in study 2’s 709-person sample.
- In the three-wave study-2 sample (573 completing all waves), time-1 SMART dimensions predicted time-3 job satisfaction directly or through challenge appraisal, work meaningfulness, relatedness-need fulfillment, and activated negative affect.
- In study 3 (N = 108), employee ratings of relevant SMART dimensions correlated with leader ratings of work performance in expected directions.
Evidence & limitations
- The article reports confirmatory-factor and longitudinal mediation analyses across samples largely composed of managers and professionals, plus leader-rated performance in a part-time MBA sample; results support an organizing framework but do not establish causal effects of redesign interventions.
- The source is the open-access version of record (CC BY 4.0); Crossref records its online publication date as 2023 and the volume issue as 2024.