Minimizing strain and maximizing learning: The role of job demands, job control, and proactive personality.

Parker, Sharon K., Sprigg, Christine A.·1999·Journal of Applied Psychology

Abstract

Using a sample of 268 production employees, this study extended research on R. Karasek's (1979) demands-control model of stress in 2 ways. First, results show that R. Karasek's proposed interaction between demands and control when predicting strain occurred only for more proactive employees. This 3-way interaction helps reconcile previous inconsistent findings about the interaction between demands and control when predicting strain. Second, the study extends research by investigating the demands-control interaction and the moderating influence of proactive personality in relation to learning-oriented outcomes (perceived mastery, role breadth self-efficacy, and production ownership). There were no 3-way interactions among the variables when predicting these learning-oriented outcomes, but all were important predictors. These results show (a) that demands and control can influence learning as proposed in the dynamic version of the demands-control model and (b) that proactive personality plays an important moderating role.

Cites (46)

  1. Multiple regression: testing and interpreting interactions
    1992 · Choice Reviews Online
  2. The fifth discipline, the art and practice of the learning organization
    Senge, Peter M. · 1991 · Performance + Instruction
  3. Job Demands, Job Decision Latitude, and Mental Strain: Implications for Job Redesign
    Karasek, Robert A. · 1979 · Administrative Science Quarterly
  4. Healthy work: stress, productivity, and the reconstruction of working life
    1990 · Choice Reviews Online
  5. Helplessness: On Depression, Development, and Death
    Martin E. P. Seligman · 1975 · CERN Document Server (European Organization for Nuclear Research)
  6. The machine that changed the world
    1992 · Long Range Planning
  7. The Empowerment Process: Integrating Theory and Practice
    Conger, Jay A., Kanungo, Rabindra N. · 1988 · The Academy of Management Review
  8. Social cognitive theory of organizational management
    Wood, Robert, Bandura, Albert · 1989 · The Academy of Management Review
  9. Interaction Effects in Multiple Regression.
    Richardson, S. C., Jacard, J., Turrisi, R., Wan, C. K. · 1991 · The Statistician
  10. Toward a cognitive social learning reconceptualization of personality
    Mischel, Walter · 1973 · Psychological Review

Show all 46 references

Cited by (27)

  1. Making Things Happen: A Model of Proactive Motivation
    Parker, Sharon K., Bindl, Uta K., Strauss, Karoline · 2010 · Journal of Management
  2. The dynamics of proactivity at work
    Grant, Adam M., Ashford, Susan J. · 2008 · Research in Organizational Behavior
  3. Modeling the antecedents of proactive behavior at work.
    Parker, Sharon K., Williams, Helen M., Turner, Nick · 2006 · Journal of Applied Psychology
  4. WHAT DO PROACTIVE PEOPLE DO? A LONGITUDINAL MODEL LINKING PROACTIVE PERSONALITY AND CAREER SUCCESS
    SEIBERT, SCOTT E., KRAIMER, MARIA L., CRANT, J. MICHAEL · 2001 · Personnel Psychology
  5. A Socially Embedded Model of Thriving at Work
    Spreitzer, Gretchen, Sutcliffe, Kathleen, Dutton, Jane, Sonenshein, Scott, Grant, Adam M. · 2005 · Organization Science

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Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Minimizing strain and maximizing learning: The role of job demands, job control, and proactive personality. https://app.cochat.ai/papers/10.1037//0021-9010.84.6.925
The paper
Parker, S. K., & Sprigg, C. A. (1999). Minimizing strain and maximizing learning: The role of job demands, job control, and proactive personality. Journal of Applied Psychology. https://doi.org/10.1037//0021-9010.84.6.925

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