STRATEJİK ÜRETİM İŞLETME PERFORMANSI İLİŞKİSİ: YAPISAL EŞİTLİK MODELLEMESİ ÜZERİNE BİR ANALİZ

Bu çalışmanın amacı, tekstil ve otomotiv yan sanayi işletmelerinde üretim stratejisine dayalı olarak ortaya çıkan üretim performansının işletme performansına etkisinin tespit edilmesidir. Araştırma Türkiye'de faaliyette bulunan tekstil ve otomotiv yan sanayi küçük ve orta ölçekli işletmelerinde gerçekleştirilmiştir. Üretim güçleri olarak isimlendirilen rekabet öncelikleri ve ileri imalat teknolojileri ile işletme stratejisiyle üretim stratejisi arasındaki etkileşimi ifade eden stratejik uyuma dayalı olarak hesaplanan üretim performans endeksi aracılığıyla üretim performansının belirlenerek, üretim performansının işletme performansına etkisi araştırılmıştır.

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  • Ahmed, N.U., Montagno, R.V. and Firenze, R.J. 1996. Operations Strategy and Organizational Performance: an Empirical Study. International Journal of Operations & Production Management 16(5): 41-53.
  • Bagozzi, R.P. 1981. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. A Comment. Journal of Marketing Research 18(3): 375– 381.
  • Burgess, T.F. and Gules, H.K. 1998. Buyer-supplier relationships in firms adopting advanced manufacturing technology: An empirical analysis of the implementation of hard and soft Technologies. Journal of Engineering and Technology Management. 15: 127-152.
  • Chase, R.B. and Aquilano, N.J. 1995. Production and Operations Management: Manufacturing and Services. 7. edition, London, Irwin.
  • Cleveland, G., Schroeder, R.G. and Anderson, J.C. 1989. A Theory of Production Competence. Decision Sciences 20 (4): 655–668.
  • Dangayach, G.S. and Deshmukh, S.G. 2006. An Exploratory Study of Manufacturing Strategy Practices of Machinery Manufacturing Companies in India. Omega: The Int. Journal of Management Science 34 (3): 254-273.
  • Dangayach, G.S. and Deshmukh, S.G. 2001a. Manufacturing strategy: experiences from Indian manufacturing companies. Productıon Plannıng&Control 12(8): 775–786.
  • De Toni, A. and Tonchia, S. 1998. Manufacturing flexibility: a literature review. Int. Journal of Production Research 36(6): 1587-1617.
  • Fornell, C. and Larcker, D.F. 1981. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research 18(1): 39-50.
  • Gerwin, D. 1993. Manufacturing flexibility: A strategic perspective. Management Science 39(4), 395–410.
  • Hair, J.F., Anderson, R., Tahtam, R.L and Black W.C. 1998, Multivariate Data Analysis. Fifth Edition. Prentice-Hall International Inc. New Jersey.
  • Hill, T.J. 1987. Teaching manufacturing strategy. International Journal of Operations &Production Management 6(3): 10-20.
  • Hoyle, R. H. 1995. Structural Equation Modeling: Concepts, Issues and Applications. Sage Publication Inc. London.
  • Mills, J., Platts, K. and Gregory, M. 1995. A Framework for the Design of Manufacturing Strategy Processes. Int. Journal of Operations & Production Management 15(4): 17-49.
  • Schermelleh-Engel, K., Moosbrugger, H. and Müler, H. 2003. Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures. Methods of Psychological Research Online 8(2): 23–74.
  • Schumacker, R.E. and Lomax, R.G. 2004. Beginner’s Guide to Structural Equation Modeling. Lawrence Erlbaum Associates Inc. New Jersey.
  • Skinner, W. 1969. Manufacturing--Missing Link in Corporate Strategy. Harvard Business Review 47(3): 136-145.
  • Smith, T.M. and Reece, J.S. 1999. The relationship of strategy, fit, productivity, and business performance in a services setting. Journal of Operations Management 17: 145–161.
  • Sun, H. and Hong, C. 2002. The alignment between manufacturing and business strategies: ıts influence on business performance. Technovation 22: 699–705.
  • Ward, P.T., McCreery, J. K., Rizman, L. P. and Sharma, D. 1998. Competitive Priorities in Operations Management. Decision Sciences 29(4): 1035-1046.
  • Yousef M.A. 1992. Getting to Know Advanced Manufacturing Technologies. Industrial Engineering 24(2): 40–42.