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İnsan Kaynakları Yönetiminde Kolektif Adaptasyon: Karmaşık Uyarlanabilir Sistemler Bakış Açısı

Year 2024, , 139 - 167, 26.07.2024
https://doi.org/10.51290/dpusbe.1431589

Abstract

Bu çalışma, insan kaynakları yönetiminde (İKY) kolektif adaptasyonu karmaşık uyarlanabilir sistemler (KUS) olarak bütünleştiren kapsamlı bir teorik çerçeve sunmayı amaçlamaktadır. Çalışma, derin literatür taramasını yorumlayıcı paradigmayla gerçekleştirerek KUS ilkelerini İKY ile bütünleştiren, beliren özellikleri, kendi kendine örgütlenmeyi ve uyarlanabilirliği vurgulayan kapsamlı bir model önermektedir. Bu model, işgücünün değişen ortamlara adaptasyon becerisini artırmaya yönelik İKY uygulamalarına rehberlik edebilir. Bu anlamda küçük gruplardan büyük örgütlere kadar kolektif adaptasyonun sosyal entegrasyon stratejileri, sosyal çevreleri ve problem yapıları arasındaki etkileşimler ortaya konulmaktadır. Ayrıca temel İKY işlevleri, örgütsel uyum ve esnekliğin teşvik edilmesine katkıları ışığında tartışılmaktadır. İKY'nin paylaşılan değerler, normlar ve işbirliğine dayalı sorun çözme kültürünü teşvik etmedeki rolünün kolektif adaptasyon için önemi vurgulanmaktadır. Çalışmada yol bağımlılığı, optimizasyon eksikliği ve kolektif miyopluğun kolektif adaptasyon süreçlerindeki rolü göz önünde bulundurarak, karmaşık sosyo-bilişsel sistemlerdeki adaptasyon mekanizmalarını daha iyi anlamak için transdisipliner bir yaklaşımı teşvik etmektedir. Aynı zamanda gelecekteki ampirik çalışmalar için potansiyel araştırma önerileri ve yönergeler sunulmaktadır.

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Collective Adaptation in Human Resource Management: A Complex Adaptive System Perspective

Year 2024, , 139 - 167, 26.07.2024
https://doi.org/10.51290/dpusbe.1431589

Abstract

This study aims to present a comprehensive theoretical framework that integrates collective adaptation in human resource management (HRM) as complex adaptive systems (CAS). Through an in-depth literature review with an interpretive paradigm, the study proposes a comprehensive model that integrates the principles of CAS into HRM, emphasizing emergent properties, self-organization and adaptability. This model can guide HRM practices to enhance the workforce's ability to adapt to changing environments. In this sense, the interactions between social integration strategies, social environments and problem structures of collective adaptation from small groups to large organizations are revealed. Furthermore, key HRM functions are discussed in light of their contribution to promoting organizational adaptability and resilience. The importance of HRM's role in fostering a culture of shared values, norms and collaborative problem solving for collective adaptation is emphasized. By considering the role of path dependence, lack of optimization and collective myopia in collective adaptation processes, the study encourages a transdisciplinary approach to better understand adaptation mechanisms in complex socio-cognitive systems. It also provides potential research suggestions and directions for future empirical studies.

References

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  • Akter, S., Uddin, M. R., Sajib, S., Lee, W. J. T., Michael, K., & Hossain, M. A. (2022). Reconceptualizing cybersecurity awareness capability in the data-driven digital economy. Annals of Operations Research.
  • Alipourfard, N., Nettasinghe, B., Abeliuk, A., Krishnamurthy, V., & Lerman, K. (2020). Friendship paradox biases perceptions in directed networks. Nature Communications, 11(1), 707.
  • Appelbaum, E., Bailey, T., Berg, P., & Kalleberg, A. L. (2000). Manufacturing Advantage: Why High-Performance Work Systems Pay Off. Cornell University Press, P.
  • Armstrong, M., & Taylor, S. (2020). Armstrong’s Handbook of Human Resource Management Practice. KoganPage.
  • Arthur, W. B. (1999). Complexity and the economy. Science, 284(5411), 107-109.
  • Aşkun, V. (2023). Complex adaptive systems and human resource management: Fostering a thriving workforce in the post-pandemic era. SocArXiv. doi:10.31235/osf.io/74pg5
  • Aşkun, V., & Çizel, R. (2020). Twenty years of research on mixed methods. Journal of Mixed Methods Studies, 1(1), 26-40.
  • Aşkun, V., Çizel, R., & Ajanovic, E. (2021). Comparative analysis of factors affecting employee performance according to job performance measurement method: The case of performing artists. Ege Academic Review, 21(1), 29-45.
  • Aşkun, V., Raghavan, M., Ajanovic, E., Çizel, R., & Wiernik, B. M. (2024). Personality and job performance in Türkiye: Psychometric meta-analysis of Turkish studies. Journal of Work and Organizational Psychology, 40(1), 1-18.
  • Axelrod, R., & Cohen, M. D. (2000). Harnessing Complexity: Organizational Implications of a Scientific Frontier. Free Press.
  • Backhaus, K., & Tikoo, S. (2004). Conceptualizing and researching employer branding. Career Development International, 9(5), 501-517.
  • Balkundi, P., & Harrison, D. A. (2006). Ties, leaders, and time in teams: Strong inference about network structure’s effects on team viability and performance. Academy of Management Journal, 49(1), 49-68.
  • Bauer, T. N., Bodner, T., Erdogan, B., Truxillo, D. M., & Tucker, J. S. (2007). Newcomer adjustment during organizational socialization: A meta-analytic review of antecedents, outcomes, and methods. Journal of Applied Psychology, 92(3), 707-721.
  • Boudreau, J. W., & Ramstad, P. M. (2005). Talentship, talent segmentation, and sustainability: A new HR decision science paradigm for a new strategy definition. Human Resource Management, 44(2), 129-136.
  • Boxall, P., & Purcell, J. (2022). Strategy and Human Resource Management. Bloomsbury Publishing.
  • Böhmer, N., & Schinnenburg, H. (2023). Critical exploration of AI-driven HRM to build up organizational capabilities. Employee Relations: The International Journal, 45(5), 1057-1082.
  • Cable, D. M., & Judge, T. A. (1997). Interviewers’ perceptions of person–organization fit and organizational selection decisions. Journal of Applied Psychology, 82(4), 546-561.
  • Church, A. H., & Rotolo, C. T. (2013). How are top companies assessing their high-potentials and senior executives? A talent management benchmark study. Consulting Psychology Journal, 65(3), 199-223.
  • Colquitt, J. A., Scott, B. A., & LePine, J. A. (2007). Trust, trustworthiness, and trust propensity: A meta-analytic test of their unique relationships with risk taking and job performance. Journal of Applied Psychology, 92(4), 909-927.
  • Cross, R., Borgatti, S. P., & Parker, A. (2002). Making invisible work visible: Using social network analysis to support strategic collaboration. California Management Review, 44(2), 25-46.
  • Çizel, R., Aşkun, V., & Çizel, B. (2022). Sosyal bilim araştırmalarında bulanık küme nitel karşılaştırmalı analiz yönteminin kullanımı. İstanbul Üniversitesi Sosyoloji Dergisi, 42(2), 549-588.
  • Deephouse, D. L. (1999). To be different, or to be the same? It’s a question (and theory) of strategic balance. Strategic Management Journal, 20(2), 147-166.
  • Demortier, A.-L. P., Delobbe, N., & El Akremi, A. (2014). Opening the Black Box of HR Practices - Performance Relationship: Testing a Three Pathways AMO Model. Academy of Management Proceedings, 2014(1), 14932.
  • Deng, M., Wuyts, K., Scandariato, R., Preneel, B., & Joosen, W. (2011). A privacy threat analysis framework: Supporting the elicitation and fulfillment of privacy requirements. Requirements Engineering, 16(1), 3-32.
  • Denisi, A. S., & Murphy, K. R. (2017). Performance appraisal and performance management: 100 years of progress? Journal of Applied Psychology, 102(3), 421-433.
  • Dirks, K. T., & Ferrin, D. L. (2002). Trust in leadership: Meta-analytic findings and implications for research and practice. Journal of Applied Psychology, 87(4), 611-628.
  • Dooley, K. J. (1997). A complex adaptive systems model of organization change. Nonlinear Dynamics, Psychology, and Life Sciences, 1(1), 69-97.
  • Dyer, L., & Shafer, R. A. (2003). Dynamic organizations: Achieving marketplace and organizational agility with people. İçinde M. A. Hitt, Freeman R. E., & J. S. Harrison (Ed.), The Blackwell Handbook of Strategic Management (ss. 462-488). Blackwell Publishing.
  • Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350-383.
  • Epstein, J. M. (2012). Generative Social Science: Studies in Agent-Based Computational Modeling. Içinde Generative Social Science. Princeton University Press.
  • Farabee, A. M. (2011). Person-organization fit as a barrier to employee creativity (Doctoral Thesis). University of Missouri-St. Louis.
  • Fraij, J., & László, V. (2021). A Literature Review: Artificial Intelligence Impact on the Recruitment Process. International Journal of Engineering and Management Sciences, 6(1), Article 1.
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There are 97 citations in total.

Details

Primary Language Turkish
Subjects Human Resources Management
Journal Section RESEARCH ARTICLES
Authors

Volkan Aşkun 0000-0003-2746-502X

Publication Date July 26, 2024
Submission Date February 4, 2024
Acceptance Date May 21, 2024
Published in Issue Year 2024

Cite

APA Aşkun, V. (2024). İnsan Kaynakları Yönetiminde Kolektif Adaptasyon: Karmaşık Uyarlanabilir Sistemler Bakış Açısı. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi(81), 139-167. https://doi.org/10.51290/dpusbe.1431589
AMA Aşkun V. İnsan Kaynakları Yönetiminde Kolektif Adaptasyon: Karmaşık Uyarlanabilir Sistemler Bakış Açısı. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi. July 2024;(81):139-167. doi:10.51290/dpusbe.1431589
Chicago Aşkun, Volkan. “İnsan Kaynakları Yönetiminde Kolektif Adaptasyon: Karmaşık Uyarlanabilir Sistemler Bakış Açısı”. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, no. 81 (July 2024): 139-67. https://doi.org/10.51290/dpusbe.1431589.
EndNote Aşkun V (July 1, 2024) İnsan Kaynakları Yönetiminde Kolektif Adaptasyon: Karmaşık Uyarlanabilir Sistemler Bakış Açısı. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi 81 139–167.
IEEE V. Aşkun, “İnsan Kaynakları Yönetiminde Kolektif Adaptasyon: Karmaşık Uyarlanabilir Sistemler Bakış Açısı”, Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, no. 81, pp. 139–167, July 2024, doi: 10.51290/dpusbe.1431589.
ISNAD Aşkun, Volkan. “İnsan Kaynakları Yönetiminde Kolektif Adaptasyon: Karmaşık Uyarlanabilir Sistemler Bakış Açısı”. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi 81 (July 2024), 139-167. https://doi.org/10.51290/dpusbe.1431589.
JAMA Aşkun V. İnsan Kaynakları Yönetiminde Kolektif Adaptasyon: Karmaşık Uyarlanabilir Sistemler Bakış Açısı. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi. 2024;:139–167.
MLA Aşkun, Volkan. “İnsan Kaynakları Yönetiminde Kolektif Adaptasyon: Karmaşık Uyarlanabilir Sistemler Bakış Açısı”. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, no. 81, 2024, pp. 139-67, doi:10.51290/dpusbe.1431589.
Vancouver Aşkun V. İnsan Kaynakları Yönetiminde Kolektif Adaptasyon: Karmaşık Uyarlanabilir Sistemler Bakış Açısı. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi. 2024(81):139-67.

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