Quality, Measurement, and Air Force Maintenance Data Collection: What is Wrong with the Process?

1994 ◽  
Author(s):  
Robert H. McMahon
Keyword(s):  
Data Collection ◽  
Air Force ◽  
Quality Measurement ◽  
Force Maintenance

Field testing the AMIT Job Performance Aid: Methods, results, and implications for the Air Force maintenance community

2007 ◽  
Author(s):  
David E. Kancler ◽  
Christopher C. Curtis ◽  
Darryl S. Stimson ◽  
Johnnie Jernigan
Keyword(s):  
Job Performance ◽  
Air Force ◽  
Field Testing ◽  
Force Maintenance

Survey Inventory for Air Force Maintenance Personnel

1957 ◽  
Author(s):  
Charles Wrigley ◽  
Charles N. Cherry ◽  
Marilyn C. Lee ◽  
Louis L. McQuitty
Keyword(s):  
Air Force ◽  
Force Maintenance ◽  
Maintenance Personnel

A Qualitative Methodology for Studying Air Force Maintenance

1981 ◽  
Vol 25 (1) ◽  
pp. 457-461
Author(s):  
Wendy Campbell ◽  
Andrew P. Chenzoff
Keyword(s):  
Human Resources ◽  
Air Force ◽  
Qualitative Methodology ◽  
Demographic Data ◽  
Technical Training ◽  
Maintenance Technicians ◽  
Force Maintenance

This paper describes the methodology being used by the Logistics and Technical Training Division of the Air Force Human Resources Laboratory for defining the issues important to maintenance technicians, their supervisors, and their managers. Statements derived from 2700 open-ended interviews are being categorized and stored on computer disc, together with certain demographic data. The statements are then sorted and summarized by topic category. The results of this study will be used to identify maintenance problems and the appropriate means and organizations for solving them. For some problems, the data will suggest alternate solutions which will need to be evaluated experimentally. For other problems, the solutions will come by applying existing technology.

Improving the viability of aqueous parts washing for air force maintenance operations

2002 ◽  
Vol 100 (3) ◽  
pp. 8-12
Author(s):  
Rick Miles ◽  
Lawrence Clark ◽  
David Ellicks ◽  
Doug Neale ◽  
Charles McKenna
Keyword(s):  
Air Force ◽  
Force Maintenance

scholarly journals The V-model of service quality: an African case study

2017 ◽  
Vol 51 (5/6) ◽  
pp. 923-945
Author(s):  
Grafton Whyte ◽  
Andy Bytheway
Keyword(s):  
Data Collection ◽  
Service Quality ◽  
Large Scale ◽  
Service Management ◽  
Quality Measurement ◽  
Psychological Theory ◽  
National Study ◽  
Complex Data ◽  
Content Type ◽  
New Model

Purpose This paper aims to introduce and demonstrate a new model for service quality that separates out the measurement of service quality in ways grounded in psychological theory and methodological symmetry. Design/methodology/approach A review of experience in service quality management suggests that new approaches are needed. By seeking a way of managing service at different levels, with symmetry between data collection and data analysis, a model is presented that has more potential applicability and flexibility than is found in traditional models. Findings A national study in Namibia, Africa provided data that successfully demonstrate the method of working and illustrate the contextual, analytical and data management issues and the reporting potential out of complex service management data. Research limitations/implications This new approach to the design of service quality measurement and assessment extends the capability that is generally found in other existing approaches. It provides a new foundation for further research into complex patterns of service success and that will establish more clearly the inter-dependencies between service encounters, service attributes and service measures at the survey item level. Practical implications Studies of multiple service sectors and multiple service recipient groups can now gather and manage large complex data sets and analyse and report that data in ways appropriate to the needs of different stakeholders. Social implications In any context where service quality is a socio-economic or development issue, it is now possible to take a more careful and nuanced approach to the collection and aggregation of data, which will inform policy makers and other stakeholder groups at the national or regional level. Originality/value This new model addresses a range of problems that have been reported with historical approaches such as SERVQUAL and related methods of working. It also provides foundations for new designs for large-scale service management data collection, organisation and analysis.

scholarly journals KUALITAS AUDIT: SEBUAH META ANALISIS

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Rifzita Vinda Arianiestasya ◽  
Ihyaul Ulum ◽  
A. Syaiful Hidayat Anwar
Keyword(s):  
Data Collection ◽  
Research Method ◽  
Audit Quality ◽  
State Of The Art ◽  
Meta Analysis ◽  
Initial Period ◽  
Quality Measurement ◽  
Unit Analysis

This study aims to describe state of the art and measurement the audit quality from 1981 to2014. The research method used is meta-analysis and audit quality as the unit analysis in thisstudy. Data collection techniques with engineering documentation by gathers previous studiesabout audit quality.The result of this research shows that the study of audit quality began since 1981 and has beencontinued untill 2014. Meanwhile, indicator of audit quality measurement began with using thenumber of clients on research conducted by DeAngelo (1981). The initial period of the 1990’s byCopley (1991) using the measure indicators size of firm and fee audit. Subsequent developments carried out by Christiawan (2002) using measurement indicator of competence and independence. For measurement indicators most widely used is the size of KAP.Keywords: Audit Quality, Measurement Indicators, Meta Analysis, State of The Art

Sign in / Sign up

Export Citation Format

Share Document