The Determination of the Effect Level on Employee Performance of TQM Practices with Artificial Neural Networks: A Case Study on Manufacturing Industry Enterprises in Turkey
Assis. Prof. Dr. Mehmet Karahan, Assis. Prof. Dr. Nevzat Tetik

Abstract
Total Quality Management which is one of the human-centered, participatory, and in the understanding of a customer-oriented philosophy, a system which processes the continuous development and improvement. Businesses to achieve the objectives of today’s highly competitive environment are strategically important to take measures to improve employee performance. Internal customer satisfaction, customer satisfaction, in which the external companies will be successful in this study in line with its strategy, total quality management practices was conducted to investigate the effects on employee performance. In this context, operating in the province of Malatya is certified in accordance with ISO 9001 Quality Management System in a company, Total Quality Management practices effects on employee performance, measured by means of a questionnaire prepared. The result of the survey data, Total Quality Management is doing a positive impact on the performance of applications running in general has revealed. Result of the analysis identified four factors that affect employee performance, the performance impact of these factors in determining the rank, the method of artificial neural networks used in classification feature.

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