Vol. 8 No. 5 (2020): Business & Management Studies: An International Journal
Articles

THE IMPACT OF ORGANISATIONAL LEARNING ON DEMAND FORECASTING: MODERATOR ROLE OF CHAOTIC STRUCTURE

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  • İsmail EYİGÜN,
  • Okan YAŞAR
İsmail EYİGÜN
Bahçeşehir University
Okan YAŞAR
Asisst. Prof. Dr., Beykent University

Published 2020-12-25

Keywords

  • Örgüt, Örgütsel Öğrenme, Kaos, Kaotik Yapı, Talep Tahmini,
  • Organisation, Organizational Learning, Chaos, Chaotic Structure, Demand Forecasting

How to Cite

THE IMPACT OF ORGANISATIONAL LEARNING ON DEMAND FORECASTING: MODERATOR ROLE OF CHAOTIC STRUCTURE. (2020). Business & Management Studies: An International Journal, 8(5), 4017-4046. https://doi.org/10.15295/bmij.v8i5.1640

Copyright (c) 2020 Business & Management Studies: An International Journal

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

THE IMPACT OF ORGANISATIONAL LEARNING ON DEMAND FORECASTING: MODERATOR ROLE OF CHAOTIC STRUCTURE. (2020). Business & Management Studies: An International Journal, 8(5), 4017-4046. https://doi.org/10.15295/bmij.v8i5.1640

Abstract

The research aims to explain the relationship between chaotic structure, organisational learning and demand forecast, and to understand the effect of chaotic structure on the relationship between organisational learning and demand forecast.  The research is based on organisational learning and chaos theory. When organisational learning theory is considered in the context of the relationship between the organisation and the environment, it is said that learning cannot be achieved in chaotic settings. Additionally, chaos theory assumes that the future is unpredictable. So, in this study, the moderator role of the chaotic structure on the organisational learning and on-demand forecasting is examined. The originality of the study lies firstly in measuring the chaotic level and using it as an organisational variable, secondly analysing the effect of organisational learning on demand forecasting. The research was designed with objectivist methodological assumptions and used relational and causal survey model. The organisational learning data were collected from individuals who are micro level, and chaotic, forecasting data were collected from organisations which is meso level. The organisational learning data were collected from 615 employees from 26 regional offices by using Organizational Learning Questionnaire developed by Watkins and Marsick (1997), and the demand forecasting and chaotic structure data were obtained from the company operating in Food Industry in Turkey. The findings of the research revealed that organisational learning level has a strong positive correlation with demand forecasting and a strong negative correlation with the chaotic environment, and the chaotic structure has a moderator effect on the relationship between organisational learning and demand forecasting. Moderator role showed that low and medium levels of chaos reduced the relationship between variables and high levels of chaos affected adversely. This study has some practical and theoretical implications. From the practical perspective, the relations between variables   

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References

  1. Alpar, O., (2012). Kaos teorisi ve kaotik işletme uygulamaları Doktora Tezi. İstanbul: İstanbul Üniversitesi SBE.
  2. Amy, A. H., (2008). Leaders as facilitators of individual and organisational learning. Leadership & Organization Development Journal, 29(3), pand 212-234.
  3. Argyris, C., (1977). Double loop learning in organisations. Harvard Business Review, 55(5), pp. 115-125.
  4. Ballot, M., (1986). Decision making model in production & operations. Florida: Robert E. Krieger Publishing Company.
  5. Basım, H. N., Sesen, H. & Korkmazyürek, H., (2007). A turkish translation, validity and reliability study of the dimensions of the learning organisation questionnaire. World Applied Sciences Journal, 2(4), pp. 368-374.
  6. Baumol, W. J., & Benhabib, J. (1989). Chaos: significance, mechanism, and economic applications. Journal of economic perspectives, 3(1), 77-105.
  7. Bıçakçı, P. S. & Üreten, S., (2017). Tedarik zinciri yönetimi uygulamalarının zincir performansı üzerindeki etkileri: bir uygulama. Gazi Universitesi Iktisadi ve Idari Bilimler Fakultesi Dergisi, 19(1), pp. 367-386.
  8. Biçkes, D. M., (2011). Örgütsel öğrenme, inovasyon ve firma performansı arasındaki ilişkiler: inovasyonun aracılık etkisine yönelik büyük ölçekli işletmelerde bir araştırma Doktora Tezi. Kayseri: Erciyes Üniversitesi SBE.
  9. Cangelosi. V. E., & Dill, W. R. (1965) Organisational learning: Observations toward a theory. Administrative Science Quarterly, 10, 175-203
  10. Cilliers, P., (1998). Complexity and Postmodernism. 1 dü. London: Routledge.
  11. Cyert, R. M., ft March, J. G. (1963) A behavioral theory of the firm. Englewood Cliffs, NJ: Prentice-Hall.
  12. Di Milia, L., & Birdi, K. (2010). The relationship between multiple levels of learning practices and objective and subjective organisational financial performance. Journal of Organizational Behavior, 31(4), 481-498.
  13. Easterby-Smith, M., (1990). Creating a learning organisation. Personnel Review, 19(5), pp. 24-28.
  14. Forrester, J. W. (1987). Lessons from system dynamics modeling. System Dynamics Review, 3(2), 136-149.
  15. Garcia-Morales, V. J., Llorens-Montes, F. J., & Verdú-Jover, A. J. (2006). Antecedents and consequences of organisational innovation and organisational learning in entrepreneurship. Industrial Management & Data Systems, 106(1), 21-42.
  16. Grandmont, J. M. (1985). On endogenous competitive business cycles. Econometrica: Journal of the Econometric Society, 995-1045.
  17. Gregersen, H. & Sailer, L., (1993). Chaos theory and ıts ımplications for social science research. Human Relations, 46(7), pp. 777-802.
  18. Hedberg, B. (1981) How organisations learn and unlearn? In P. C. Nystrom ft W. H. Starbuck (Eds.), Handbook of organisational design (pp. 8-27). London: Oxford University Press.
  19. Heizer, J. & Render, B., (2001). Operations management. New Jersey: Prentice Hall.
  20. Jiménez-Jiménez, D., & Cegarra-Navarro, J. G. (2007). The performance effect of organizational learning and market orientation. Industrial Marketing Management, 36(6), 694-708.
  21. Karabulut, R. & Şeker, K., (2018). Beli̇rlenmi̇ş deği̇şkenleri̇n vergi̇ geli̇rleri̇ üzeri̇ndeki̇ etki̇si̇: çoklu doğrusal regresyon anali̇zi̇. Suleyman Demirel University Journal of Faculty of Economics & Administrative Sciences, 23(3), p. 1049–1070.
  22. Keçeli, S., 2018. Çalışan perspektifinden örgütsel öğrenme yeteneğinin görev ve bağlamsal performansa etkisi: sağlık sektöründe bir uygulama Doktora Tezi. İstanbul: Haliç Üniversitesi: SBE.
  23. Khandekar, A., & Sharma, A. (2006). Organisational learning and performance: Understanding Indian scenario in present global context. Education+ Training, 48(8/9), 682-692.
  24. Kılıç T. (2019) 21.Yüzyılın Bağlantısal Bütünsellik Bilimi: https://www.youtube.com/watch?v= dXoWXzK2iec Son Erişim Tarihi:09.09.2019.
  25. Klimecki, R. & Lassleben, H., (1999). What causes organisations to learn. Lancaster University, Lancaster, 3rd International Conference on Organizational Learning, p. Lancaster University.
  26. Kutaniş, R. Ö. (2002). Öğrenen organizasyonlar. Stratejik Boyutuyla Modern Yönetim Yaklaşımları, 258-282.
  27. Lawrence, P. R., ft Dyer, D. (1983) Renewing American industry. New York: Free Press.
  28. Lambert, D. M. & Cooper, M. C., (2000). Issues in supply chain management. Industrial Marketing Management, 29(1), p. 65–83.
  29. Latif, H., (2002). Kaotik ortamda yönetim, Stratrjik Boyutuyla Modern Yönetim Yaklaşımları. 1 dü. İstanbul: Beta Basım-Yayım-Dağıtım.
  30. Levitt, B. & March, J. G., (1988). Organisational learning. Annual review of sociology, Cilt 14, pp. 319-340.
  31. Lindblom, C. E. 1959. The science of muddling through. Public Admin. Rev.,1 9:79--88
  32. March, J. G., ft Olsen, J. P. (1975) The uncertainty of the past: Organisational learning under ambiguity. European Journal of Political Research. 3, 147-171.
  33. Makridakis, S. & Wheelwright, S. C. (1977). Forecasting: ıssues & challenges for marketing management. Journal of Marketing, 41(4), pp. 24-38.
  34. Mentzer, J. T. & Bienstock, C. C. (1997). Sales forecasting management. California: SAGE Publications.
  35. Mert, G., (2017). Kurumsal duygusal hafıza ile örgütsel öğrenme, firma yenilikçiliği ve firma performansı arasındaki ilişkiler Doktora Tezi. İstanbul: Beykent Üniversitesi SBE.
  36. Morgan, K. (2007). The learning region: institutions, innovation and regional renewal. Regional studies, 41(S1), S147-S159.
  37. Mulholland, P., Zdrahal, Z., Domingue, J., Hatala, M., & Bernardi, A. (2001). A methodological approach to supporting organisational learning. International Journal of Human-Computer Studies, 55(3), 337-367.
  38. Mutlu, A. & Sakınç, İ., (2006). Yönetimde kaos. Journal of İstanbul Kültür University, Cilt 3, pp. 1-12.
  39. Öge, S., (2005). Düzen mi düzensizlik (kaos) mu örgütsel varlığın sürdürülebilirliği açısından bir değerlendirme. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 13(1), pp. 285-303.
  40. Özgen, H., Kılıç, K. C. & Karademir, B., (2013). Öğrenmenin kurumsallaşmasında toplam kalite yönetimi yaklaşımı. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 13(2), pp. 175-188.
  41. Pamuk, N., (2013). Dinamik sistemlerde kaotik zaman dizilerinin tespiti. BAÜ Fen Bil. Enst. Dergisi, 15(1), pp. 77-91.
  42. Rexhausen, D., Pibernik, R., & Kaiser, G. (2012). Customer-facing supply chain practices—The impact of demand and distribution management on supply chain success. Journal of Operations Management, 30(4), 269-281.
  43. Saperstein, A. M., & Mayer‐Kress, G. (1989). Chaos versus predictability in formulating national strategic security policy. American Journal of Physics, 57(3), 217-223.
  44. Selçuk, Z., (1999). Gelişim ve öğrenme eğitim psikolojisi. Ankara: Nobel Yayın Dağıtım.
  45. Simon, H. A. (1955) . A behavioral model of rational choice. Q. J. Econ. 69:99-118
  46. Smith, L., 2014. Kaos. 1 dü. Ankara: Dost Kitabevi.
  47. Steinbruner, J. D. (1974). The Cybernetic Theory of Decision. Princeton, NJ: Princeton Univ. Press
  48. Therin, F. (2003, January). Organisational learning and innovation in high-tech small firms. In 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the (pp. 8-pp). IEEE.
  49. Thietart, R. A. & Forgues, B., (1995). Chaos theory and organisation. Organization Science, 6(1), pp. 19-31
  50. Ürü, F. O., (2009). Örgütsel öğrenmenin çalışan yaratıcılığına etkisi (iso 500'de yer alan demir-çelik, otomotiv ve tekstil sektörlerindeki işletmelerde bir araştırma) Doktora Tezi. İstanbul: Marmara Üniversitesi SBE
  51. Watkins, K. E. & Marsick, V. J., (2013). Dimensions of the learning organisation questionnaire, self-scoring version. Warwick, RI: Partners for the Learning, pp. 1-20.
  52. Wilson, J. & Keating, B., (2001). Business forecasting. 4 dü. Columbus: McGraw-Hill/Irwin.
  53. Yaşar, O. (2016). Davranışsal karar verme, düşünme, problem çözme. Detay Yayıncılık, Ankara.
  54. Yaşar, O. & Sundu, M., (2017). Kaotik ortamlar için karar verme model önerisi: doğal karar verme. Ankara, 25. Ulusal Yönetim ve Organizasyon Kongresi.
  55. Yeşilorman, M., (2006). Kelebek kanadını kimden yana çırpıyor. Birleştirilmiş bilimin kıyısında kaos ve sosyal bilimler. Journal of İstanbul Kültür University Science and Engineering, 4(3), pp. 77-86.
  56. Yeo, R. K. (2005). Revisiting the roots of learning organisation: A synthesis of the learning organisation literature. The Learning Organization, 12(4), 368-382.
  57. Young, T. R. (1991). Chaos and social change: Metaphysics of the postmodern. The Social Science Journal, 28(3), 289-305.
  58. Zohar, D., (2018). 21.Yüzyılda kuantum liderlik. 1 dü. İstanbul: The Kitap Yayınları.54-178.

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