A worker can meet a target for several reasons. She may enjoy solving the problem, believe the task serves a purpose she endorses, fear punishment or feel that failing would make her less worthy. The result recorded on a dashboard might be the same. Edward Deci, Anja Olafsen and Richard Ryan’s 2017 review, Self-Determination Theory in Work Organizations: The State of a Science, asks what these different reasons mean for performance and well-being over time.
This article is a critical guide to that specific review. It explains its distinctions, the evidence it draws together and the limits of applying it to an individual workplace. It is distinct from the Library’s general entries on autonomy or agency. The review is about motivation within organizations: how rules, rewards, leadership and job design may support or frustrate psychological needs. Its central claim is not that workers should have no obligations. It is that the quality of motivation matters alongside the amount of effort.
From intrinsic interest to a wider theory
Self-determination theory began with questions about intrinsic and extrinsic motivation and grew into a broader account of human motivation. In the workplace, some activities are interesting in themselves, while many necessary tasks are not. The theory therefore asks whether a person can internalize a task’s value and act with a sense of volition, even when the task has an external purpose.
The 2017 review distinguishes autonomous motivation from controlled motivation. Autonomous motivation includes intrinsic interest and extrinsic reasons that a person understands and endorses. Controlled motivation includes behavior driven by external pressure and by internal pressure such as guilt or contingent self-worth. Both can produce activity. The theory predicts that their longer-term relationships with wellness and high-quality performance will differ.
A worker following a safety procedure may not love the form, but can understand its purpose and choose to carry it out carefully. Another may complete the form only to avoid a manager’s anger. A third may feel ashamed whenever the form is not perfect. Treating all three as identical “motivation” loses information. The review’s contribution is to organize that information and connect it to organizational conditions.
These categories describe reasons, not permanent types of people. The same person may enjoy one part of a job, endorse another and feel coerced about a third. Reasons can change as work changes. A survey score at one time cannot certify that a whole organization is autonomous, or that an employee lacks commitment. Task, relationship and context need to be specified.
Three psychological needs
The authors emphasize three basic needs: autonomy, competence and relatedness. Autonomy is a sense of volition or endorsement. It is not the same as doing everything alone or having an unlimited menu of choices. A worker may participate willingly in coordinated work with firm standards when those standards make sense and the person can raise relevant concerns.
Competence concerns effectiveness in interactions with the environment. Clear information, achievable challenges and useful feedback can support it. An impossible target or a metric that hides whether the work helped anyone may undermine it. Competence is not simply praise. The person needs evidence that an action can meet a real standard.
Relatedness concerns connection and being cared for or significant to others. A team can support this through trust and mutual responsiveness. It is not a demand that every employee be friends with colleagues. Nor can a convivial culture compensate for unsafe work or absent pay. The need claim directs attention to the quality of relationships, including whether someone can ask for help without humiliation.
The review proposes that supporting these needs promotes autonomous motivation, wellness and high-quality performance. That is a framework supported by multiple lines of evidence, not a formula with one guaranteed effect size for every job. Need satisfaction is measured differently across studies and may interact with workload, pay, inequality and the nature of a task.
Rewards, rules and the meaning of control
Pay is necessary for most workers. The review does not argue that wages should be removed in the name of intrinsic motivation. It asks how compensation and rewards are structured and communicated. A bonus may be experienced as recognition, information or pressure depending on its conditions, the broader relationship and what the worker must sacrifice to obtain it.
Similarly, a rule can be sensible and still be delivered in a controlling way. A manager can explain why a safety step matters, invite practical questions and acknowledge constraints while holding a standard. Another can threaten penalties for any deviation without allowing workers to report an impossible procedure. The first does not remove accountability; it offers a route for people to understand and own responsible action.
There is no simple rule that “all rewards undermine motivation.” The review discusses extrinsic rewards in relation to their informational and controlling aspects and to the work context. A careful reader asks what reward was studied, what behavior was required, whether the activity was initially interesting, and what outcome was measured. A laboratory task and a long-term employment arrangement should not be treated as the same setting.
Controlled motivation can also be effective in a narrow sense. A threat may secure quick compliance. The broader question is what happens to learning, initiative, honesty and well-being, especially when supervision is absent or conditions change. A dashboard that counts immediate output may miss those outcomes. Evaluating a policy through the theory requires more than one number.
What the workplace evidence adds
Deci, Olafsen and Ryan draw connections among self-determination theory, leadership, job characteristics, justice and compensation. Their 2017 paper is a review rather than a single new experiment. It integrates studies conducted with varied measures, organizations and cultural settings. That breadth makes it useful for mapping a field, while limiting how precisely it can predict the effect of one new policy.
A later meta-analysis by Slemp and colleagues combined 72 studies of perceived leader autonomy support. It found positive associations with autonomous motivation, psychological needs, well-being and positive work behaviors, and negative associations with distress. The authors also used path analysis to examine the proposed motivational process. The results are consistent with theory, but much of the database is correlational. A supportive leader may improve motivation; motivated employees may perceive leadership differently; healthier workplaces may influence both.
Gagné and colleagues’ 2022 review applies self-determination theory to changing work, including remote work, virtual teams and algorithmic management. It asks how technology can change autonomy, competence and relatedness. That later context matters because a 2017 review could not evaluate every present form of automated scheduling or AI-mediated assessment. An algorithm may provide helpful information or impose opaque pressure. The mechanism depends on how workers can understand, contest and influence its decisions.
Evidence from the health domain also provides a caution about intervention claims. A meta-analysis of self-determination-theory-informed interventions found positive but modest and heterogeneous effects on health-related outcomes. Health care is not a workplace test, so its pooled results should not be copied into an organizational forecast. It does illustrate why a theory-consistent intervention still needs measured outcomes, and why the path through need support and autonomous motivation should be tested rather than assumed.
Autonomy support is not abdication
In practice, “support autonomy” can be misunderstood as refusing to lead. The review points toward a more demanding approach: offer meaningful rationale, listen to concerns, allow choice where real alternatives exist and provide structure that helps competence. A manager may still set a deadline or require a safety procedure. The relevant question is whether workers can understand the reason, use their knowledge and communicate when the requirement conflicts with reality.
Choice by itself is not enough. If a worker is offered three unsafe shifts, the existence of a menu does not create volition. If a team is told it can “own” a target while lacking authority over staffing or tools, the language of autonomy is hollow. A study should measure decision rights and actual options, not just whether a supervisor uses supportive phrases.
Competence support likewise requires more than a motivational speech. A person needs training, information, feedback and a workload that makes skilled action possible. Relatedness support requires dependable relationships, including a way to disagree. An organization can celebrate belonging while making dissent costly; that environment may frustrate autonomy and trust even if social events are frequent.
The review’s promise is strongest when these conditions are treated as design variables. A team can examine which tasks have clear purpose, where decisions can be made locally, whether feedback helps improve the work and who has access to support. Then it can test changes in outcomes that matter to both workers and service users.
Reading a workplace motivation study
Start with the sample. Were participants employees, managers, contractors or students imagining a job? The costs of refusing a task differ greatly across those groups. Were measures collected at one time or across months? Cross-sectional associations cannot establish whether need satisfaction caused performance or whether good performance improved the work climate.
Inspect the motivation scale. Does it distinguish intrinsic interest, personally endorsed value, guilt and external pressure, or collapse them into one score? The theory predicts differences among those reasons. If the instrument asks only whether someone is “motivated,” the study cannot test that part of the framework.
Inspect the outcomes as well. Self-rated performance may not match quality, safety or user benefit. A short increase in output can coexist with exhaustion or silence about errors. Wellness should not be reduced to the absence of an illness claim, and retention can reflect lack of alternatives. A strong evaluation uses multiple measures, explains missing data and includes the perspective of people affected by the work.
Finally examine the intervention. Did a leader receive training only, or did the organization also change schedules, staffing, pay or decision rights? If several conditions change, a result cannot be attributed solely to a leader’s language. If only the language changes while constraints remain, an apparent failure of “autonomy support” may actually be a failure to provide usable autonomy.
Applications to digital and AI-mediated work
The Institute’s application is a design synthesis, not an effect demonstrated by the 2017 review. A digital workflow can show why a task matters, make the next step clear and allow a worker to flag an exception. A recommendation system can provide evidence and an appeal route. A learning tool can give feedback that helps competence instead of rewarding only speed. These are plausible ways to support the three needs, to be evaluated in real settings.
Conversely, an opaque ranking can make a worker dependent on a score they cannot understand or correct. A system may appear to offer choice while penalizing every option except one. Remote work can provide flexibility yet weaken connection or blur limits on availability. Gagné and colleagues’ later review frames such questions as changes in work design, not merely preferences for a particular technology.
A useful test asks workers whether they understand and endorse what they are doing, whether they can perform it well and whether help is available. It also records observable quality, error repair, workload and well-being. The answers may conflict. A system that improves output while reducing trust requires judgment about tradeoffs, not a claim that one motivational label resolves them.
What the evidence does not show
The 2017 review does not prove that every autonomy-supportive practice raises productivity, or that pay and rules are inherently harmful. It does not provide a universal score that ranks workers or cultures. The theory’s needs are proposed as broad, but their expression and measurement must be examined in particular contexts.
Associations between leader support and positive outcomes are not automatic evidence that one training session will cause those outcomes. Some later studies and reviews provide stronger tests, yet interventions vary and outcomes can be modest. A workplace should test a concrete change, record both worker and service outcomes and remain open to a result that differs from the theory’s expectation.
The paper also does not justify asking employees to internalize harmful work. A person may reasonably reject a target that conflicts with safety, fairness or their values. Autonomous motivation cannot be demanded by a slogan. It requires conditions in which people can understand the task, exercise real judgment and retain a path to challenge decisions.
Return to the target
The worker meets the dashboard target again. A supervisor could ask only whether the number rose. The review asks what kind of effort produced it and what that effort cost: did she understand the purpose, have the tools to do the work well and remain connected to colleagues who could help? Those questions may reveal improvement hidden by the metric, or a problem the metric concealed.
Deci, Olafsen and Ryan’s paper is valuable because it makes organizational motivation a matter of design and evidence, not a moral judgment about the worker. Workplaces can set standards while supporting volition, competence and relationships. Whether a particular change succeeds must be shown in the lives and work it affects.
Research references
- Deci, E. L., Olafsen, A. H., & Ryan, R. M. (2017). Self-determination theory in work organizations: The state of a science. Annual Review of Organizational Psychology and Organizational Behavior, 4, 19–43. View source
- Slemp, G. R., Kern, M. L., Patrick, K. J., & Ryan, R. M. (2018). Leader autonomy support in the workplace: A meta-analytic review. Motivation and Emotion, 42, 706–724. View source
- Gagné, M., Parker, S. K., Griffin, M. A., et al. (2022). Understanding and shaping the future of work with self-determination theory. Nature Reviews Psychology, 1, 378–392. View source
- Gagné, M., & Deci, E. L. (2005). Self-determination theory and work motivation. Journal of Organizational Behavior, 26(4), 331–362. View source
- Ntoumanis, N., Ng, J. Y. Y., Prestwich, A., et al. (2021). A meta-analysis of self-determination theory-informed intervention studies in the health domain: Effects on motivation, health behavior, physical, and psychological health. Health Psychology Review, 15(2), 214–244. View source