An analysis of middle management work in non-steady conditions

Computers and Industrial Engineering

Volumn 31, Issue 1-2, 1996, Pages 53-57

  Vargas Cortes, M G ^a   Beruvides, M G ^a  

^a NONE

Author keywords

Knowledge Work Performance Measurement; Performance Measurement; White Collar Performance Measurement; Work Analysis

Indexed keywords

HUMAN ENGINEERING; MANUFACTURE; PERFORMANCE; PERSONNEL; STATISTICAL METHODS; TIME AND MOTION STUDY;

KNOWLEDGE WORK PERFORMANCE MEASUREMENT; PERFORMANCE MEASUREMENT; WHITE COLLAR PERFORMANCE MEASUREMENT;

JOB ANALYSIS;

EID: 0030270528     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/0360-8352(96)00077-0     Document Type: Article

References (6)

1. Beruvides, M.G. (1993). An investigation of the universe and anatomy of work. Ph.D. Dissertation, VPISU. (Published by Univ. Microfilms International, #9328633.)
2. Beruvides, M.G. & Koelling, C.P. (1992a). Management tools: A technological issue in white-collar/knowledge work, in T.M. Khali and B.A. Bayraktar, (Eds.) Management of technology III, Institute of Industrial Engineers.
3. Beruvides, M.G. & Koelling, C.P. (1992b). Technology space mapping of tools: A management issue in understanding work. Working Paper, Virginia Polytechnic Institute and State University, Blacksburg, Virginia. Submitted to Proceedings of the International Conference of Productivity and Quality Research. [8] Niebel, Benjamin W. (1993). Motion and time studies, Boston, MA: Richard D. Irwin, Inc.
4. Beruvides, M.G. & Koelling, C.P. (1992b). Technology space mapping of tools: A management issue in understanding work. Working Paper, Virginia Polytechnic Institute and State University, Blacksburg, Virginia. Submitted to Proceedings of the International Conference of Productivity and Quality Research. [8] Niebel, Benjamin W. (1993). Motion and time studies, Boston, MA: Richard D. Irwin, Inc.
5. Niebel, Benjamin W. (1993). Motion and time studies, Boston, MA: Richard D. Irwin, Inc.
6. Wall, Francis J. (1986). Statistical Data Analysis Handbook. New York: McGraw-Hill.