Self Rewarding as an Influence on Industrial Performance.

Abstract

An empirical investigation tests Blood's model of the interrelationships among variables that effect the relationship between performance and self rewarding (the latter being defined as the private, cognitive, affective consequence of a job behavior). This model conceives the relation between performance and self rewarding to be direct and reciprocal; it is moderated by the knowledge of performance goals and actual performance on one hand and by task interest and identification with the task and the product from the task on the other. The research design allowed for a test of Blood's model with both static (questionnaire-) data and with an experimental procedure that attempted to enhance goal- and performance recognition in order to strengthen the relation between self rewarding and performance. Three plants of a carpet manufacturing company acted as three separate samples in the analysis of the questionnaire- data and as two experimental and one control group respectively in the experimental phase of the research. The questionnaire results consistently confirmed the hypotheses derived from Blood's model when perceived performance was used as the criterion variable; using performance against Industrial Engineering standards as criterion did not result in confirmation of the hypotheses.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1978
Accession Number
ADA057150

Entities

People

  • Milton R. Blood
  • Th. J. F. Thoene

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Applied Psychology
  • Business Administration
  • Education
  • Human Resources
  • Industrial Engineering
  • Management Personnel
  • Manufacturing
  • Military Research
  • Naval Personnel
  • Naval Training
  • New York
  • Psychology
  • Regression Analysis
  • Social Psychology
  • Students
  • Surveys
  • War Colleges

Fields of Study

  • Psychology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computational Modeling and Simulation
  • Organizational Psychology.