Customer Satisfaction with Air Force Civil Engineering Support

Abstract

This research measured civil engineering customer satisfaction and validated a civil engineering customer satisfaction model developed by Capt Kirschbaum in 1987. The research answered three questions: 1) Do the relationships between overall customer satisfaction and satisfaction with respect to timeliness, quality control, customer orientation, and communications support Kirschbaum's model? 2) How satisfied are customers with civil engineering in terms of timeliness, quality control, customer orientation, communication, and overall support? 3) What do customers expect and what do they perceive civil engineering responsiveness to be for different types of maintenance and repair? Actual customer satisfaction was found to be most highly related to four factors: responsiveness, the customer service section, facility quality, and grounds appearance. While the Kirschbaum model was very similar, this research found some differences. The two models used different measures of quality. The Kirschbaum model included a communication factor where the Groover model identified grounds appearance as a factor. By validating Kirschbaum's model, this research provides a clear indication of which areas offer the most potential for improving customer satisfaction. In addition, it provides civil engineering with a report card by which to measure future improvements. Theses.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1988
Accession Number
ADA201582

Entities

People

  • Charles M. Groover

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Air Conditioning
  • Air Force
  • Air Force Facilities
  • Civil Engineering
  • Commerce
  • Data Analysis
  • Databases
  • Employment
  • Engineers
  • Factor Analysis
  • Information Science
  • Logistics
  • Organizational Structure
  • Personnel Management
  • Regression Analysis
  • Surveys
  • United States

Fields of Study

  • Engineering

Readers

  • Aerospace logistics and air mobility.
  • Organizational Process Management (OPM).