Job performance
Job performance refers to the behaviors and outcomes employees exhibit in fulfilling their work responsibilities, encompassing both the quantity and quality of work produced and how well individuals meet organizational expectations (Campbell J.P. 1990, p.704)[1]. The salesperson who closes deals. The engineer who ships code on time. The nurse who provides compassionate, competent care. Performance isn't just showing up—it's producing results that matter to the organization.
Measuring performance has occupied management theorists since Frederick Taylor timed workers with stopwatches. Today's approaches range from simple output counts to elaborate multi-rater systems. The challenge persists: how do you fairly and accurately assess what people contribute? Poor measurement frustrates good performers, shields poor ones, and misallocates rewards. Getting performance right remains among management's most consequential tasks.
Conceptualizing job performance
Researchers distinguish multiple performance dimensions:
Task performance
Core job duties. Task performance covers activities directly related to producing goods or services—the fundamental responsibilities that define a position. A machinist's task performance includes operating equipment correctly and producing parts meeting specifications[2].
In-role behavior. These are behaviors explicitly expected and typically included in job descriptions. Organizations can reasonably demand task performance as a condition of employment.
Technical proficiency. For many jobs, task performance requires specific skills and knowledge. Technical competence underpins performance in specialized roles.
Contextual performance
Organizational citizenship behaviors. Actions beyond formal requirements that benefit the organization—helping colleagues, volunteering for extra work, defending the organization's reputation. OCBs contribute to organizational effectiveness without being formally required.
Discretionary effort. Going beyond minimum requirements. The difference between doing just enough and doing one's best often determines who advances.
Interpersonal facilitation. Cooperating effectively, maintaining positive relationships, and supporting team functioning[3].
Counterproductive work behavior
Negative contributions. Behaviors that harm organizational interests—theft, sabotage, absenteeism, harassment, substance abuse. These subtract from overall performance even when task performance seems adequate.
Withdrawal. Psychological or physical disengagement from work. Presenteeism (being present but unproductive) may be as costly as absenteeism.
Determinants of performance
Multiple factors shape job performance:
Individual factors
Ability. Cognitive ability predicts performance across virtually all jobs. Specific abilities (verbal, numerical, spatial) matter more or less depending on job requirements. You can't train someone beyond their ability ceiling.
Personality. The Big Five personality traits show consistent performance relationships. Conscientiousness predicts performance across most occupations. Emotional stability, agreeableness, and extraversion matter in particular contexts[4].
Knowledge and skills. Job-specific expertise accumulated through education, training, and experience. Knowledge deficits can be remediated; ability deficits generally cannot.
Motivation. Willingness to exert effort. High-ability individuals who won't try underperform lower-ability individuals who will. Motivation bridges capability and performance.
Situational factors
Resources. Tools, equipment, information, budget, and staff affect what's achievable. Performance suffers when resources are inadequate regardless of individual factors.
Constraints. Policies, procedures, and organizational limitations can impede performance. Bureaucratic obstacles frustrate even motivated, capable workers.
Leadership. Supervisory support, clear direction, and appropriate autonomy enable performance. Poor leadership undermines otherwise capable teams[5].
Organizational culture. Norms around performance expectations, feedback, accountability, and recognition shape individual behavior.
Performance measurement
Organizations employ various measurement approaches:
Objective measures
Output metrics. Units produced, sales closed, calls handled, errors made, projects completed. These quantifiable measures seem objective but may miss important quality dimensions.
Financial metrics. Revenue generated, costs controlled, profit contributed. Revenue per employee provides a rough productivity indicator across roles.
Efficiency metrics. Output per unit of input—time, cost, or resources. Manufacturing environments measure pieces per hour; knowledge work proves harder to quantify[6].
Limitations. Objective measures may encourage gaming, neglect unmeasured aspects, or reflect factors beyond individual control (market conditions, team composition).
Subjective measures
Supervisor ratings. The most common appraisal method. Supervisors observe performance and translate observations into ratings. Subject to biases but capture important dimensions objective measures miss.
360-degree feedback. Ratings from supervisors, peers, subordinates, and sometimes customers provide multiple perspectives. Reduces single-rater bias but introduces others.
Self-assessment. Employees rate their own performance. Typically inflated but useful for development discussions and identifying self-perception gaps.
Behavioral observation
Behaviorally anchored rating scales (BARS). Scales with specific behavioral examples anchoring each rating level. More reliable than simple trait ratings.
Critical incident technique. Recording specific examples of effective and ineffective performance. Provides concrete feedback but requires consistent documentation[7].
Performance appraisal methods
Organizations structure performance assessment differently:
Traditional approaches
Annual reviews. Once-yearly formal evaluations dominated for decades. Criticized as too infrequent, backward-looking, and anxiety-inducing.
Ranking systems. Forced ranking compares employees against each other. Controversial—Jack Welch famously fired the bottom 10% annually at GE.
Rating scales. Numerical or verbal scales (1-5, or "exceeds expectations" to "needs improvement") applied to performance dimensions.
Contemporary approaches
Continuous feedback. Ongoing conversations replace annual events. Technology enables real-time recognition and coaching.
OKRs and goal-setting. Objectives and Key Results frameworks align individual goals with organizational objectives. Progress is tracked continuously.
Check-ins. Regular brief meetings between managers and employees discuss performance, development, and support needs[8].
Performance and outcomes
Performance links to important consequences:
Compensation. Merit increases, bonuses, and incentive pay reward high performance. Pay-for-performance systems aim to motivate and retain top performers.
Promotion. Performance typically influences advancement decisions, though the relationship is imperfect—high performers in current roles don't always succeed in elevated ones.
Development. Performance data inform training needs. Skill gaps identified through appraisal guide development investments.
Retention. Top performers receiving inadequate recognition leave. Poor performers retained despite inadequacy demoralize others.
Termination. Sustained poor performance may lead to dismissal. Documentation requirements make performance records legally important.
Challenges in performance management
Performance systems face persistent difficulties:
Bias. Rater biases—halo effects, recency bias, similarity bias, leniency—distort assessments. Structured systems and rater training reduce but don't eliminate bias.
Measurement limitation. Knowledge work performance is inherently difficult to measure. Creative contributions, relationship building, and strategic thinking resist quantification.
Goal displacement. Employees optimize measured behaviors at the expense of unmeasured ones. "What gets measured gets managed"—for better and worse.
Feedback avoidance. Managers avoid giving negative feedback; employees avoid seeking it. Honest assessment becomes rare.
Legal exposure. Discrimination claims arise from performance-based decisions. Documentation and consistency become defensive priorities that may distort systems.
| Job performance — recommended articles |
| Performance management — Employee evaluation — Human resources management — Motivation |
References
- Campbell J.P. (1990), Modeling the Performance Prediction Problem in Industrial and Organizational Psychology, Handbook of Industrial and Organizational Psychology.
- Borman W.C., Motowidlo S.J. (1993), Expanding the Criterion Domain to Include Elements of Contextual Performance, Personnel Selection in Organizations.
- Aguinis H. (2019), Performance Management, 4th Edition, Chicago Business Press.
- Murphy K.R. (2020), Performance Evaluation Will Not Die, But It Should, Annual Review of Organizational Psychology.
Footnotes
- ↑ Campbell J.P. (1990), Modeling the Performance Prediction Problem, p.704
- ↑ Borman W.C., Motowidlo S.J. (1993), Expanding the Criterion Domain, pp.71-98
- ↑ Aguinis H. (2019), Performance Management, pp.34-56
- ↑ Campbell J.P. (1990), Modeling the Performance Prediction Problem, pp.710-720
- ↑ Murphy K.R. (2020), Performance Evaluation, pp.144-156
- ↑ Aguinis H. (2019), Performance Management, pp.89-112
- ↑ Borman W.C., Motowidlo S.J. (1993), Expanding the Criterion Domain, pp.99-120
- ↑ Murphy K.R. (2020), Performance Evaluation, pp.157-168
Author: Sławomir Wawak