Dergiler / Gazi İktisat ve İşletme Dergisi / 2026 / Cilt: 10 Sayı: 1

İşletme ve yönetimde karmaşık uyarlanabilir sistemler: Bibliyometrik bir analizle yazın taraması ve evrimsel süreci

Complex adaptive systems in business and management: A literature review and evolutionary process with a bibliometric analysis

Sayfa
46–66
Yayın Tarihi
2024-02-28
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Bütünleşik bulgulara dayanarak, özellikle Türkiye'deki işletme ve yönetim akademisyenlerinin teorik, ampirik ve metodolojik gelişimini KUS bakış açısıyla yönlendirmek için bir çalışma gündemi önerilmektedir.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Yapay zekâ, otomasyon, krizler, salgın hastalıklar gibi makro etkilerle yerel dinamiklerdeki değişimler sonucunda işletmelerin kısa, orta ve uzun vadede alacakları kararların önemi artmaya devam ediyor.
📊
Temel Bulgular & Veri:Bu bağlamda, uluslararası işletme ve yönetim alanında yapılacak çalışmalar için konu alanları sürekli değişiyor.
💡
Sonuç & Katkı:Bütünleşik bulgulara dayanarak, özellikle Türkiye'deki işletme ve yönetim akademisyenlerinin teorik, ampirik ve metodolojik gelişimini KUS bakış açısıyla yönlendirmek için bir çalışma gündemi önerilmektedir.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Karmaşık Uyarlanabilir Sistemler · Bibliyometrik Analiz · Örgütler

Özet

Yapay zekâ, otomasyon, krizler, salgın hastalıklar gibi makro etkilerle yerel dinamiklerdeki değişimler sonucunda işletmelerin kısa, orta ve uzun vadede alacakları kararların önemi artmaya devam ediyor. Bu bağlamda, uluslararası işletme ve yönetim alanında yapılacak çalışmalar için konu alanları sürekli değişiyor. Bu değişimi incelemek için karmaşık uyarlanabilir sistemler (KUS) dahil olmak üzere çeşitli görüşler kullanılabilir. Bu çalışma, bibliyometrik analiz kullanarak, işletme ve yönetim alanlarında KUS bakış açısını kullanan çalışmaların teorik ve ampirik çalışmalarını sentezlemeyi amaçlamaktadır. Ortak atıf ve bibliyografik eşleştirme analizi kullanılarak, ilk adım yazının entelektüel ve kavramsal yapısını araştırmaktır. Ardından, işletme ve yönetim KUS yazınındaki anahtar kelimeler kullanılarak, disiplinin nasıl geliştiğini açıklamak için tematik bir analiz kullanılmaktadır. Bütünleşik bulgulara dayanarak, özellikle Türkiye'deki işletme ve yönetim akademisyenlerinin teorik, ampirik ve metodolojik gelişimini KUS bakış açısıyla yönlendirmek için bir çalışma gündemi önerilmektedir. Çalışmanın en şaşırtıcı bulgusu, küresel işletme ve yönetim alanında tedarik yönetimi ve tedarik zincirleri üzerine çalışanların KUS bakış açısını benimseme olasılıklarının yüksek olmasıdır.

Abstract

The importance of decisions that businesses will make in the short, medium, and long term continues to rise due to changes in local dynamics with macro-impacts such as artificial intelligence, automation, crises, and epidemics. In this regard, the subject areas for the studies that will be conducted in the area of international business and management are constantly changing. Various views, including those of complex adaptive systems (CAS), can be used to examine this change. Using bibliometric analysis, this study seeks to synthesize the theoretical and empirical work from studies that use a CAS viewpoint in the business and management fields. Using co-citation and bibliographic coupling analysis, the first step is to investigate the conceptual and intellectual structure of the literature. Then, utilizing keywords from the business and management CAS literature, a thematic analysis is used to explain how the discipline has developed. A study agenda is suggested based on the integrated findings in order to direct the theoretical, empirical, and methodological growth of business and management scholars, particularly in Türkiye, from a CAS viewpoint. The study's most surprising finding is that in the area of global business and management, those who study supply management and supply chains are most likely to embrace the CAS perspective.

🔖

Bu Makaleye Atıf Yap

Aşkun, V. (2024). İşletme ve yönetimde karmaşık uyarlanabilir sistemler: Bibliyometrik bir analizle yazın taraması ve evrimsel süreci. Gazi İktisat ve İşletme Dergisi, Cilt: 10 Sayı: 1, 46–66. https://doi.org/10.30855/gjeb.2024.10.1.004

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (81)

  1. Anderson, P. (1999). Perspective: Complexity theory and organization science. Organization Science, 10(3), 216-232. Doi: https://doi.org/10.1287/ORSC.10.3.216
  2. Aria, M., ve Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. Doi: https://doi.org/10.1016/j.joi.2017.08.007
  3. Aria, M., Misuraca, M., ve Spano, M. (2020). Mapping the evolution of social research and data science on 30 years of social indicators sesearch. Social Indicators Research, 149(3), 803-831. Doi: https://doi.org/10.1007/S11205-020-02281-3
  4. Arslan, A. (2019). Felsefeye giriş (27. bs). Ankara: Serbest Kitaplar.
  5. Ashmos, D. P., Duchon, D., ve McDaniel, R. R. (2000). Organizational responses to complexity: The effect on organizational performance. Journal of Organizational Change Management, 13(6), 577-594. Doi: https://doi.org/10.1108/09534810010378597
  6. Aşkun, V. (2023). Sosyal bilimler araştırmaları için ChatGPT potansiyelinin açığa çıkarılması: Uygulamalar, zorluklar ve gelecek yönelimler. Erciyes Akademi, 37(2), 622-656.
  7. Aşkun, V., ve Çizel, R. (2019). Kompleks problem çözme üzerine R programı ile bir bibliyometrik analiz. Mediterranean Journal of Humanities, 9(1), 37-47. Doi: https://doi.org/10.13114/mjh.2019.445
  8. Aşkun, V., ve Çizel, R. (2020). Twenty years of research on mixed methods. Journal of Mixed Methods Studies, 1(1), 26-40. Doi: https://doi.org/10.14689/jomes.2020.1.2
  9. Aşkun, V., Çizel, R., ve Çizel, B. (2021). Complex relationship of countries’ innovation level with social capital, economic value perception and political culture: fsQCA. Eskişehir Osmangazi University Journal of Economics and Administrative Sciences, 16(2), 317-340. Doi: https://doi.org/10.17153/OGUIIBF.895910
  10. Bailey, K., ve Breslin, D. (2021). The COVID-19 pandemic: What can we learn from past research in organizations and management? International Journal of Management Reviews, 23(1), 3-6. Doi: https://doi.org/10.1111/IJMR.12237
  11. Batistič, S., ve van der Laken, P. (2019). History, evolution and future of big data and analytics: A bibliometric analysis of its relationship to performance in organizations. British Journal of Management, 30(2), 229-251. Doi: https://doi.org/10.1111/1467-8551.12340
  12. Beinhocker, E. D. (1999). Robust adaptive strategies. MIT Sloan Management Review, 40(3), 95-106.
  13. Bergmann Lichtenstein, B. M. (2000). Emergence as a process of self-organizing: New assumptions and insights from the study of non-linear dynamic systems. Journal of Organizational Change Management, 13(6), 526-544. Doi: https://doi.org/10.1108/09534810010378560
  14. Bettis, R. A., ve Prahalad, C. K. (1995). The dominant logic: Retrospective and extension. Strategic Management Journal, 16(1), 5-14. Doi: https://doi.org/10.1002/SMJ.4250160104
  15. Boyack, K. W., ve Klavans, R. (2010). Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? Journal of the American Society for Information Science and Technology, 61(12), 2389-2404. Doi: https://doi.org/10.1002/ASI.21419
  16. Brown, S. L., ve Eisenhardt, K. M. (1997). The art of continuous change: Linking complexity theory and time-paced evolution in relentlessly shifting organizations. Administrative Science Quarterly, 42(1), 1-34. Doi: https://doi.org/10.2307/2393807
  17. Burt, R. S. (1980). Autonomy in a social topology. American Journal of Sociology, 85(4), 892-925. Doi: https://doi.org/10.1086/227093
  18. Cahlik, T. (2000). Search for fundamental articles in economics. Içinde Dordrecht Scientometrics, and Akadémiai Kiadó, Budapest (C. 49). Kluwer Academic Publishers.
  19. Cameron, R., Ambagtsheer, R. C., Martinez-Pacheco, S., Klopper, H. B., Rogers, C., ve Baker, S. (2022). A constructive crisis: Complex system adaptability during the COVID-19 pandemic. International Journal of Organizational Analysis. Doi: https://doi.org/10.1108/IJOA-04-2022-3237
  20. Carter, C. R., Rogers, D. S., ve Choi, T. Y. (2015). Toward the theory of the supply chain. Journal of Supply Chain Management, 51(2), 89-97. Doi: https://doi.org/10.1111/JSCM.12073
  21. Chen, C. (2017). Science Mapping: A Systematic Review of the Literature. Journal of Data and Information Science, 2(2), 1-40. Doi: https://doi.org/https://doi.org/10.1515/jdis-2017-0006
  22. Choi, T. Y., Dooley, K. J., ve Rungtusanatham, M. (2001). Supply networks and complex adaptive systems: control versus emergence. Journal of Operations Management, 19(3), 351-366. Doi: https://doi.org/10.1016/S0272-6963(00)00068-1
  23. Choi, T. Y., ve Hong, Y. (2002). Unveiling the structure of supply networks: Case studies in Honda, Acura, and DaimlerChrysler. Journal of Operations Management, 20(5), 469-493. Doi: https://doi.org/10.1016/S0272-6963(02)00025-6
  24. Choi, T. Y., ve Krause, D. R. (2006). The supply base and its complexity: Implications for transaction costs, risks, responsiveness, and innovation. Journal of Operations Management, 24(5), 637-652. Doi: https://doi.org/10.1016/J.JOM.2005.07.002
  25. Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., ve Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382-1402. Doi: https://doi.org/10.1002/asi.21525
  26. Curşeu, P. L. (2006). Emergent states in virtual teams: A complex adaptive systems perspective. Journal of Information Technology, 21(4), 249-261. Doi: https://doi.org/10.1057/PALGRAVE.JIT.2000077
  27. Eisenhardt, K. M. (1989). Agency theory: An assessment and review. Academy of Management Review, 14(1), 57-74. Doi: https://doi.org/10.5465/AMR.1989.4279003
  28. Fleming, L., ve Sorenson, O. (2001). Technology as a complex adaptive system: evidence from patent data. Research Policy, 30(7), 1019-1039. Doi: https://doi.org/10.1016/S0048-7333(00)00135-9
  29. Gleick, J. (2014). Enformasyon: Bir Tarih Bir Kuram Bir Tufan (Çev. Ü. Şensoy, Ed.). İstanbul: Optimist Yayın.
  30. Hanseth, O., ve Lyytinen, K. (2010). Design theory for dynamic complexity in information infrastructures: The case of building internet. Journal of Information Technology, 25(1), 1-19. Doi: https://doi.org/10.1057/JIT.2009.19
  31. Hearnshaw, E. J. S., ve Wilson, M. M. J. (2013). A complex network approach to supply chain network theory. International Journal of Operations and Production Management, 33(4), 442-469. Doi: https://doi.org/10.1108/01443571311307343
  32. Holden, L. M. (2005). Complex adaptive systems: Concept analysis. Journal of Advanced Nursing, 52(6), 651-657. Doi: https://doi.org/10.1111/j.1365-2648.2005.03638.x
  33. Holland, J. H. (1992). Complex adaptive systems. Deadalus, 121(1), 17-30.
  34. Holland, J. H. (1995). Hidden order: How adaptation builds complexity. New York: Basic Books.
  35. Holland, J. H. (1998). Emerge from chaos to order. New York: Oxford University Press.
  36. Holling, C. S. (2001). Understanding the complexity of economic, ecological, and social systems. Ecosystems, 4(5), 390-405. Doi: https://doi.org/10.1007/s10021-001-0101-5
  37. Katz, D., ve Kahn, R. L. (1978). The social psychology of organizations. New York: John Wiley & Sons.
  38. Kauffman, S. A. (1993). The origins of order: Self-organization and selection in evolution. New York: Oxford University Press.
  39. Kim, Y., Choi, T. Y., Yan, T., ve Dooley, K. (2011). Structural investigation of supply networks: A social network analysis approach. Journal of Operations Management, 29(3), 194-211. Doi: https://doi.org/10.1016/J.JOM.2010.11.001
  40. Kirtil, İ. G., ve Aşkun, V. (2021). Artificial intelligence in tourism: A review and bibliometrics research. Advances in Hospitality and Tourism Research, 9(1), 205-233. Doi: https://doi.org/10.30519/ahtr.801690
  41. Lawrence, B. S. (1997). Perspective: The black box of organizational demography. Organization Science, 8(1), 1-22. Doi: https://doi.org/10.1287/ORSC.8.1.1
  42. Levinthal, D. A. (1997). Adaptation on rugged landscapes. Organization Science, 43(7), 934-950. Doi: https://doi.org/10.1287/MNSC.43.7.934
  43. Lindberg, C., ve Schneider, M. (2013). Combating infections at Maine Medical Center: Insights into complexity-informed leadership from positive deviance. Leadership, 9(2), 229-253. Doi: https://doi.org/10.1177/1742715012468784
  44. March, J. G., Sproull, L. S., ve Tamuz, M. (1991). Learning from samples of one or fewer. Organization Science, 2(1), 1-13. Doi: https://doi.org/10.1287/ORSC.2.1.1
  45. Markoulli, M. P., Lee, C. I. S. G., Byington, E., ve Felps, W. A. (2017). Mapping Human Resource Management: Reviewing the field and charting future directions. Human Resource Management Review, 27(3), 367-396. Doi: https://doi.org/10.1016/J.HRMR.2016.10.001
  46. McCarthy, I. P., Tsinopoulos, C., Allen, P., ve Rose-Anderssen, C. (2006). New product development as a complex adaptive system of decisions. Journal of Product Innovation Management, 23(5), 437-456. Doi: https://doi.org/10.1111/J.1540-5885.2006.00215.X
  47. McKelvey, B. (1999). Avoiding complexity catastrophe in coevolutionary pockets: Strategies for rugged landscapes. Organization Science, 10(3), 294-321. Doi: https://doi.org/10.1287/ORSC.10.3.294
  48. Mena, C., Humphries, A., ve Choi, T. Y. (2013). Toward a theory of multi-tier supply chain management. Journal of Supply Chain Management, 49(2), 58-77. Doi: https://doi.org/10.1111/JSCM.12003
  49. Meyer, A. D., Gaba, V., ve Colwell, K. A. (2005). Organizing far from equilibrium: Nonlinear change in organizational fields. Organization Science, 16(5), 456-473. Doi: https://doi.org/10.1287/ORSC.1050.0135
  50. Meyer, A., Frost, P. J., ve Weick, K. E. (1998). The organization science jazz festival: Improvisation as a metaphor for organizing - Overture. Organization Science, 9(5), 540-542. Doi: https://doi.org/10.1287/ORSC.9.5.540
  51. Miller, J. H., ve Page, S. E. (2009). Complex adaptive systems: An introduction to computational models of social life. Princeton University Press.
  52. Mitchell, M. (2009). Complexity: A guided tour. New York: Oxford University Press.
  53. Morel, B., ve Ramanujam, R. (1999). Through the looking glass of complexity: The dynamics of organizations as adaptive and evolving systems. Organization Science, 10(3), 278-293. Doi: https://doi.org/10.1287/ORSC.10.3.278
  54. Nair, A., Narasimhan, R., ve Choi, T. Y. (2009). Supply networks as a complex adaptive system: Toward simulation-based theory building on evolutionary decision making. Decision Sciences, 40(4), 783-815. Doi: https://doi.org/10.1111/J.1540-5915.2009.00251.X
  55. Nilsson, F., ve Darley, V. (2006). On complex adaptive systems and agent-based modelling for improving decision-making in manufacturing and logistics settings: Experiences from a packaging company. International Journal of Operations and Production Management, 26(12), 1351-1373. Doi: https://doi.org/10.1108/01443570610710588/
  56. Pasadeos, Y., Phelps, J., ve Kim, B. H. (2013). Disciplinary impact of advertising scholars: Temporal comparisons of influential authors, works and research networks. Journal of Advertising, 27(4), 53-70. Doi: https://doi.org/10.1080/00913367.1998.10673569
  57. Pascale, R. T. (1999). Surfing the edge of chaos. MIT Sloan Management Review, 40(3), 83-94.
  58. Pathak, S. D., Day, J. M., Nair, A., Sawaya, W. J., ve Kristal, M. M. (2007). Complexity and adaptivity in supply networks: Building supply network theory using a complex adaptive systems perspective. Decision Sciences, 38(4), 547-580. Doi: https://doi.org/10.1111/J.1540-5915.2007.00170.X
  59. Pathak, S. D., Dilts, D. M., ve Biswas, G. (2007). On the evolutionary dynamics of supply network topologies. IEEE Transactions on Engineering Management, 54(4), 662-672. Doi: https://doi.org/10.1109/TEM.2007.906856
  60. Pathak, S. D., Wu, Z., ve Johnston, D. (2014). Toward a structural view of co-opetition in supply networks. Journal of Operations Management, 32(5), 254-267. Doi: https://doi.org/10.1016/J.JOM.2014.04.001
  61. Perianes-Rodriguez, A., Waltman, L., ve van Eck, N. J. (2016). Constructing bibliometric networks: A comparison between full and fractional counting. Journal of Informetrics, 10(4), 1178-1195. Doi: https://doi.org/10.1016/J.JOI.2016.10.006
  62. Rahmandad, H., ve Sterman, J. (2008). Heterogeneity and network structure in the dynamics of diffusion: Comparing agent-based and differential equation models. Management Science, 54(5), 998-1014. Doi: https://doi.org/10.1287/MNSC.1070.0787
  63. Rip, A., ve Courtial, J. P. (2005). Co-word maps of biotechnology: An example of cognitive scientometrics. Scientometrics, 6(6), 381-400. Doi: https://doi.org/10.1007/BF02025827
  64. Roundy, P. T., Bradshaw, M., ve Brockman, B. K. (2018). The emergence of entrepreneurial ecosystems: A complex adaptive systems approach. Journal of Business Research, 86, 1-10. Doi: https://doi.org/10.1016/J.JBUSRES.2018.01.032
  65. Ruelle, D. (2000). Rastlantı ve Kaos. Ankara: Tübitak.
  66. Schneider, M., ve Somers, M. (2006). Organizations as complex adaptive systems: Implications of Complexity Theory for leadership research. The Leadership Quarterly, 17(4), 351-365. Doi: https://doi.org/10.1016/J.LEAQUA.2006.04.006
  67. Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265-269. Doi: https://doi.org/10.1002/ASI.4630240406
  68. Snowden, D. J., ve Boone, M. E. (2007). A leader’ s framework for decision making. Harvard Business Review, 85, 68-76.
  69. Stacey, R. D. (1995). The science of complexity: An alternative perspective for strategic change processes. Strategic Management Journal, 16(6), 477-495. Doi: https://doi.org/10.1002/SMJ.4250160606
  70. Surana, A., Kumara, S., Greaves, M., ve Raghavan, U. N. (2007). Supply-chain networks: A complex adaptive systems perspective. International Journal of Production Research, 43(20), 4235-4265. Doi: https://doi.org/10.1080/00207540500142274
  71. Uhl-Bien, M., Marion, R., ve McKelvey, B. (2007). Complexity leadership theory: Shifting leadership from the industrial age to the knowledge era. The Leadership Quarterly, 18(4), 298-318. Doi: https://doi.org/10.1016/J.LEAQUA.2007.04.002
  72. Van Eck, N. J., ve Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. Doi: https://doi.org/10.1007/S11192-009-0146-3/
  73. Van Eck, N. J., ve Waltman, L. (2014). Visualizing bibliometric networks. Içinde Ding Y., Rousseau R., ve Wolfram D. (Ed.), Measuring scholarly impact (ss. 285-320). Berlin: Springer.
  74. Van Leeuwen, T. (2006). The application of bibliometric analyses in the evaluation of social science research. Who benefits from it, and why it is still feasible. Scientometrics, 66(1), 133-154. Doi: https://doi.org/10.1007/S11192-006-0010-7/METRICS
  75. Waldrop, M. M. (1997). Karmaşıklık (Çev. Z. Dicleli, Ed.). İstanbul: Türk Henkel Dergisi Yayınları.
  76. Wallis, S. E. (2008). Emerging order in CAS theory: Mapping some perspectives. Kybernetes, 37(7), 1016-1029. Doi: https://doi.org/10.1108/03684920810884388
  77. Wycisk, C., McKelvey, B., ve Hülsmann, M. (2008). “Smart parts” supply networks as complex adaptive systems: Analysis and implications. International Journal of Physical Distribution and Logistics Management, 38(2), 108-125. Doi: https://doi.org/10.1108/09600030810861198
  78. Zupic, I., ve Cater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429-472. Doi: https://doi.org/10.1177/1094428114562629
  79. Holland, J. H. (1995). Hidden order: How adaptation builds complexity. New York: Basic Books.
  80. Katz, D., ve Kahn, R. L. (1978). The social psychology of organizations. New York: John Wiley & Sons.
  81. Levinthal, D. A. (1997). Adaptation on rugged landscapes. Organization Science, 43(7), 934-950. Doi: https://doi.org/10.1287/MNSC.43.7.934