The Effectiveness of a Joint Labor-Management Council on Increasing Productivity and Enhancing the Quality of Work Life.

Abstract

This study is divided into two parts. Part I assesses the effectiveness of a Joint Labor-Management Council using an established Quality of Work Life Survey. The survey was given to treatment and control groups in a one pretest, two post-test research design. Factor analysis was conducted across all responses to determine underlying factors measured by the instrument. Sixteen factors relating to quality of work life and perceived productivity were identified. Work group factor scores were calculated and compared between the pretest and both posttests in an analysis of covariance procedure. No significant difference was found between treatment and control groups at either of the posttests for any factor after adjusting for pretest differences. Part II develops a survey instrument to assess organizational effectiveness. That instrument consists of two sections. The supervisor inventory section was developed from previous versions of an organizational assessment package and from data from current research works. The inventory was administered to a group and the resulting data analyzed via factor analysis. Thirteen factors were named. This was an improvement over the original package which contained three factors. The second section, the job inventory, was developed in the same manner as the supervisory inventory, but not tested. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1980
Accession Number
ADA088789

Entities

People

  • Patricia S. Lumpkin
  • Paul M. Biernacki

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Data Science
  • Factor Analysis
  • Information Science
  • Literature
  • Literature Surveys
  • Maintenance
  • Management Personnel
  • Measurement
  • Mechanical Equipment
  • Organizational Structure
  • Productivity
  • Statistical Analysis
  • Statistics
  • Students
  • Supervisors
  • Surveys

Readers

  • Instructional Design and Training Evaluation.
  • Regression Analysis.
  • Technical Research and Report Writing.