Time Pressure and Performance of Scientists and Engineers; A Five-Year Panel Study

Abstract Time pressure experienced by scientists and engineers predicted positively to several aspects of performance including usefulness, innovation, and productivity. Higher time pressure was associated with above average performance during the following five years, even when supervisory status, education, and seniority were controlled. Performance, however, did not predict well to subsequent reports of time pressure, suggesting a possible causal relationship from pressure to performance. High performing scientists also desired more pressure. Innovation and productivity (but not usefulness) were low if the pressure experienced was markedly above that desired. The five-year panel data derived from approximately. 100 scientists in a NASA laboratory. Some theoretical and practical implications of the results are discussed.

[1]  J. G. Miller,et al.  Information input overload and psychopathology. , 1960, The American journal of psychiatry.

[2]  W. Bennis,et al.  The Social Psychology of Organizations , 1966 .

[3]  G. Farris Organizational Factors and Individual Performance: A Longitudinal Study , 2015 .

[4]  N. Léchopier " Experimental and quasi-experimental designs for research on teaching ", de Donald T. Campbell & Julian C. Stanley, (1963). , 2011 .

[5]  M. Appelbaum,et al.  Psychometric methods. , 1989, Annual review of psychology.

[6]  F. M. Andrews,et al.  Detecting Causal Priorities in Panel Study Data , 1964 .

[7]  Yee Ah,et al.  Techniques for estimating the source and direction of causal influence in panel data. , 1968 .

[8]  G. Farris Toward a Non-Experimental Method for Causal Analyses of Social Phenomena , 2015 .

[9]  S. Shumaker,et al.  Psychosocial factors in coronary heart disease. , 1990, Cardiovascular clinics.

[10]  R. Sandell,et al.  Note on choosing between competing interpretations of cross-lagged panel correlations. , 1971 .

[11]  Donald C. Pelz,et al.  Scientists in Organizations: Productive Climates for Research and Development. , 1968 .

[12]  P. Allison Causal Inference with Panel Data , 2009 .

[13]  Otis Dudley Duncan,et al.  Some linear models for two-wave, two-variable panel analysis. , 1969 .

[14]  P. F. Miller Statistical Procedures and their Mathematical Bases , 1941, Nature.

[15]  Donald C. Pelz,et al.  Scientists in Organizations: Productive Climates for Research and Development , 1967 .

[16]  F. Glen The social psychology of organizations , 1976 .

[17]  David R. Heise,et al.  Causal Inference from Panel Data , 1970 .

[18]  George F. Farms Some antecedents and consequences of scientific performance , 1969 .

[19]  R. Kahn,et al.  Organizational Stress: Studies in Role Conflict and Ambiguity. , 1965 .

[20]  Alfred Slote Termination: The Closing at Baker Plant , 1977 .

[21]  G. Farris Executive Decision Making in Organizations; Identifying the Key Men and Managing the Process , 2011 .

[22]  F. F. Stephan,et al.  Statistical Procedures and their Mathematical Bases. , 1936 .

[23]  D. Hall,et al.  Job pressures and research performance. , 1971, American scientist.

[24]  J. French,et al.  Psychosocial factors in coronary heart disease. , 1970, IMS, Industrial medicine and surgery.

[25]  D. Campbell,et al.  More plausible rival hypotheses in the cross-lagged panel correlation technique. , 1969 .

[26]  K. Weick The social psychology of organizing , 1969 .

[27]  B. Hayes The American Scientist , 1962, Nature.