International Journal of Management and Business Studies

ISSN 2167-0439

International Journal of Management and Business Studies ISSN 2167-0439 Vol. 15 (3), pp. 001-011, March, 2026. Available online at www.internationalscholarsjournals.org © International Scholars Journals

Full Length Research Paper

Cross-Industry Perspectives on Total Quality Management: Evidence from the Turkish Market

H. Mustafa Paksoy1, Sadettin Paksoy1, Mehmet Marangoz2 and Mehmet Özçalici1*

1Faculty of Economics and Administrative Sciences, Kilis 7 Aralık University, Kilis, Turkey.
2Biga Faculty of Economics and Administrative Sciences, Çanakkale University, Çanakkale Turkey.

Accepted 24 September, 2025

The objective of this study is to examine the perception differences of TQM in Southeastern Anatolia Project (GAP) region and find the relationship between education, experience, gender and TQM perceptions. GAP is a project aimed at removing the development differences between west and east regions of Turkey. In a developing region such as Southeastern Anatolia, it is important to determine how TQM, perceived by businesses, help to conduct and better implement the TQM philosophy. With an understanding of the perception differences between businesses, it is of the study’s view that TQM efforts will be more useful and practical. In this study, we used factor analysis and regression analysis to determine the differences between industries. Then regression analysis was used with dummy variables to compare the business groups. Results indicate that in GAP region, different industries perceive TQM efforts differently and as such, textile business is the most pessimistic sector about TQM efforts, while iron-steel industry is the most optimistic one. Moreover, education and experience have an effect on TQM perception in a positive manner. TQM practitioners who try to implement TQM efforts in GAP region must consider these findings and should behave accordingly.

Key words: TQM perception, Southeastern Anatolia Project (GAP), industry comparison, factor analysis.