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A Classification System for Characterization of Physical and Non-Physical Work Factors

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A comprehensive evaluation of work-related perfomance factors is a prerequisite to developing integrated and long-term solutions to workplace performance improvement. This paper describes a work-factor classification system that categorizes the entire domain of workplace factors impacting performance. A questionnaire-based instrument was developed to implement this classification system in industry. Fifty jobs were evaluated in 4 different service and manufacturing companies using the proposed questionnaire-based instrument. The reliability coefficients obtained from the analyzed jobs were considered good (.589 to .862). In general, the physical work factors resulted in higher reliability coefficients (.847 to .862) than non-physical work factors (.589 to .768).
Rocznik
Strony
535--555
Opis fizyczny
Bibliogr. 24 poz., rys., wykr.
Twórcy
autor
  • Industrial Engineering and Biostatistics/Epidemiology Programs, University of Cincinnati, OH, USA
autor
  • Center for Industrial Ergonomics, University of Louisville, KY, USA
autor
  • Industrial Engineering and Biostatistics/Epidemiology Programs, University of Cincinnati, OH, USA
autor
  • Department of Industrial & Systems Engineering, Kwandong University, Korea
autor
  • Kuwait Institute for Scientific Research, Safat, Kuwait
autor
  • Industrial Engineering and Biostatistics/Epidemiology Programs, University of Cincinnati, OH, USA
Bibliografia
  • 1. Cooper, C.L., Sloan, S.J., & Williams, J.S. (1988). Occupational stress indicator. Windsor, Out, Canada: NFER-Nelson.
  • 2. Gcnaidy, A., & Karwowski, W. (2000). Work-Factor Analysis Instrument© (Technical Report). Cincinnati, OH, USA, and Louisville, KY, USA: University of Cincinnati and University of Louisville.
  • 3. Genaidy, A., Karwowski, W., Shoal", C, & Welling, D. (2000). The fundamentals of work-factor compatibility: An integrated approach to optimizing workplace human performance. Manuscript submitted for publication.
  • 4. Guo, L., Gcnaidy, A., Christensen, D., & Huntington, K. (1996). Macro-ergonomic risk assessment in the nuclear remediation industry. Applied Ergonomics, 27, 241-254.
  • 5. Haekman, J.R., & Oldham, G.R. (1975). Development of the job diagnostic survey. Journal of Applied Psychology, 60, 159-170.
  • 6. Hart, S.G., & Staveland, L.E. (1988). Development of NASA-TLX (task load index): Results of empirical and theoretical research. In G.E. Stelmach & P.A. Vroom (Eds.), Advances in psychology (pp. 139-181), Amsterdam, The Netherlands: Elsevier.
  • 7. Hurrell, J.J., Jr., & McLaney, M.A. (1988). Exposure to job stress: A new psychometric instrument. Scandinavian Journal of Work, Environment & Health, 14, 27-28.
  • 8. Hurrell, J.J., Jr., Nelson, D.L., & Simmons, B.L. (1998). Measuring job stressors and strains: Where we have been, and where we need to go. Journal of Occupational Health Psychology, 5(4), 368-389.
  • 9. Ivancevich, J.M., & Mattcson, M.T. (1984). Stress diagnostic survey (SDS): Comments and psychometric properties of a multi-dimensional self-report inventory. Houston, TX, USA: University of Houston.
  • 10. Karasek, R.A. (1985). Job content questionnaire and users guide. Lowell, MA, USA: University of Massachusetts, Department of Work Environment.
  • 11. Karhu, O., Kansi, P., & Kuorinka, I. (1977). Correcting working postures in industry: A practical method for analysis. Applied Ergonomics, 8(4), 199-201.
  • 12. Kemmlert, K. (1995). A method assigned lor the identification of ergonomic hazards - PLIBEL. Applied Ergonomics, 26, 199-211.
  • 13. Kcyscrling, W.M., Stetson, D.S., Silvcrstcin, B.A., & Brouver, M.L. (1993). A checklist for evaluating risk factors associated with upper extremity cumulative trauma disorders. Ergonomics, 36{1), 807-831.
  • 14. McAtmney, L., & Corlett, E.N. (1993). RULA: A survey method for the investigation of work-related upper limb disorders. Applied Ergonomics, 24, 91-99.
  • 15. McConnick, E., Jeannert, P., & Mccham, R. (1969). The development and background of the Position Analysis Questionnaire. Lafayette, IA, USA: Purdue University, Occupational Research Center.
  • 16. Moos, R.H. (1981). Work environment scale manual. Palo Alto, CA, USA: Consulting Psychologists Press.
  • 17. Osipow, S.H., & Davis, A.S. (1988). The relationship of coping resources to occupational stress and strain. Journal of Vocational Behavior, 32, 1-5.
  • 18. Osipow, S.H., & Spokane, A.R. (1980). The occupational environment scales, personal strain questionnaire and personal resources questionnaire, Form E-l. Columbus, OH, USA: Marathon Consulting and Press.
  • 19. Osipow, S.H., & Spokane, A.R. (1983). The occupational environment scales, personal strain questionnaire and personal resources questionnaire, Form E-2. Columbus, OH, USA: Marathon Consulting and Press.
  • 20. Reid, G.B., & Nygren, T.E. (1988). The subjective workload assessment technique: A scaling procedure for measuring mental workload. In G.E.
  • 21. Stelmach & P.A. Vroom (Eds.), Advances in psychology (pp. 185-218), Amsterdam, The Netherlands: Elsevier.
  • 22. Rohmcrl, W., & Landau, K. (1983). A new technique for job analysis. London, UK: Taylor &. Francis.
  • 23. Sims, H.P., Szilagyi, A.D., & Keller, R.T. (1976). The measurement of job characteristics. Academy of Management Journal, 19, 195-212.
  • 24. Spielberger, CD. (1994). Professional manual for the job stress survey (JSS). Odessa, FL, USA: Psychological Assessment Resources. Statistical Analysis Software (SAS). (1985). SAS user's guide: Basics. Version 5 edition. Cary, NC, USA: SAS Institute
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0e1ea412-e6e3-4618-b29c-69b46a77a6f1
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