The measurement of white collar productivity is a difficult task. This paper demonstrates one approach in defining the workload for university faculty. Even though they are educators, only 27% of their time is spent teaching or advising students (1.4%). Most is spent for research (45.4%) or service work (26.2%). Unfortunately, the usefulness of the workload model is reduced because of poor estimates of time by the faculty and the high variability found between faculty member workload estimates.
Get full access to this article
View all access options for this article.
References
1.
BlackburnR.T. (1974) “The Meaning of Work ln Academia” in DoiJ.I., ed. Assessing Faculty Effort.Jossey-Bass, Inc.: San Francisco, CA.
2.
CollierDonald W. (1977) “Measuring the Performance of R&D Departments.”Research Management, March, pp. 30–34.
3.
EdwardsShirley A.McCarreyMichael W. (1973) “Measuring the Performance of Researchers.”Research Management, January, pp. 34–41.
4.
GregermanI.B. (1981) Knowledge Worker Productivity.American Management Associations: New York.
5.
LehrerR.N. (1983) White Collar Productivity.McGraw-Hill: New York.
6.
Magliola-ZochDorisWeinerRonald G. (1984) “Plan Applies IE Concepts to Improve Productivity and Measure Creative Process of Professionals.”Industrial Engineering, September, pp. 46–53.
7.
MaliP. (1978) Improving Total Productivity.John Wiley & Sons: New York.
8.
PackerM.B. (1984) “Productivity Analysis Using Subjective Output Measures: A Perceptual Mapping Approach for ‘Knowledge Work’ Organizations” in DogramaciA.AdamN.R., eds. Managerial Issues in Productivity Analysis.Kluwer-Nijhoff Publishing: Boston, MA.
9.
PappasRichard A.RemerDonald S. (1985) “Measuring R&D Productivity.”Research Management, 28(3):15–22.
10.
SinkD.S. (1985) Productivity Management: Planning, Measurement and Evaluation, Control and Improvement.John Wiley & Sons: New York.
11.
WalkerEric A. (1989) “Engineering Schools Share the Blame for Declining Productivity.”The Bent of Tau Beta Pi, Spring, 80(2): 12–14.