Araştırma Makalesi
BibTex RIS Kaynak Göster

İnsan Kaynakları Yönetiminde Kolektif Adaptasyon: Karmaşık Uyarlanabilir Sistemler Bakış Açısı

Yıl 2024, Sayı: 81, 139 - 167, 26.07.2024
https://doi.org/10.51290/dpusbe.1431589

Öz

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.

Kaynakça

  • Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Artificial intelligence: The ambiguous labor market impact of automating prediction. Journal of Economic Perspectives, 33(2), 31-50.
  • Aguinis, H. (2009). Performance Management. Pearson Education.
  • Aguinis, H., Joo, H., & Gottfredson, R. K. (2011). Why we hate performance management—And why we should love it. Business Horizons, 54(6), 503-507.
  • 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.
  • Fried, Y., Grant, A. M., Levi, A. S., Hadani, M., & Slowik, L. H. (2007). Job design in temporal context: A career dynamics perspective. Journal of Organizational Behavior, 28(7), 911-927.
  • Galesic, M., Barkoczi, D., Berdahl, A. M., Biro, D., Carbone, G., Giannoccaro, I., Goldstone, R. L., Gonzalez, C., Kandler, A., Kao, A. B., Kendal, R., Kline, M., Lee, E., Massari, G. F., Mesoudi, A., Olsson, H., Pescetelli, N., Sloman, S. J., Smaldino, P. E., & Stein, D. L. (2023). Beyond collective intelligence: Collective adaptation. Journal of the Royal Society Interface, 20(200), 20220736.
  • Galesic, M., Olsson, H., Dalege, J., van der Does, T., & Stein, D. L. (2021). Integrating social and cognitive aspects of belief dynamics: Towards a unifying framework. Journal of The Royal Society Interface, 18(176), 20200857.
  • Gennard, J., & Judge, G. (2005). Employee Relations. Chartered Institute of Personnel and Development.
  • Gerhart, B., & Fang, M. (2014). Pay for (individual) performance: Issues, claims, evidence and the role of sorting effects. Human Resource Management Review, 24(1), 41-52.
  • Gravili, G., Hassan, R., Avram, A., & Schiavone, F. (2023). Big data and human resource management: Paving the way toward sustainability. European Journal of Innovation Management, 26(7), 552-590.
  • Gunbayi, I. (2020). Action Research as a Mixed Methods Research: Definition, Philosophy, Types, Process, Political and Ethical Issues and Pros and Cons. Journal of Mixed Methods Studies, 1(2), 16-26.
  • Gunbayi, I., & Sorm, S. (2020). Social Paradigms in Guiding Management Social Development and Social Research. Pegem Academy.
  • Günbayı, I., & Aşkun, V. (2023). Grounded Teori ya da Temellendirilmiş Kuram, Gömülü Teori, Kuram Oluşturma vs. Kullanımı Adına Yol Haritası. İnönü Üniversitesi Eğitim Fakültesi Dergisi, 24(3), 1671-1697.
  • Harter, J. K., Schmidt, F. L., & Hayes, T. L. (2002). Business-unit-level relationship between employee satisfaction, employee engagement, and business outcomes: A meta-analysis. Journal of Applied Psychology, 87(2), 268-279.
  • Hassan, Z. (2022). Employee retention through effective human resource management practices in Maldives: Mediation effects of compensation and rewards system. Journal of Entrepreneurship, Management and Innovation, 18(2), 137-174.
  • Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind. New York, NY: McGraw-Hill.
  • Holland, J. H. (1995). Hidden order: How adaptation builds complexity. Basic Books.
  • Holland, J. H. (2006). Studying complex adaptive systems. Journal of Systems Science and Complexity, 19(1), 1-8.
  • Holland, J. H. (2014). Complexity: A Very Short Introduction. Oxford University Press.
  • Ison, R. L., Collins, K. B., & Wallis, P. J. (2015). Institutionalising social learning: Towards systemic and adaptive governance. Environmental Science and Policy, 53, 105-117.
  • Katz, D. M., Bommarito, M. J., & Blackman, J. (2017). A general approach for predicting the behavior of the Supreme Court of the United States. PLOS ONE, 12(4), e0174698.
  • Kerr, N. L., & Tindale, R. S. (2004). Group Performance and Decision Making. Annual Review of Psychology, 55(1), 623-655.
  • Kochan, T., Bezrukova, K., Ely, R., Jackson, S., Joshi, A., Jehn, K., Leonard, J., Levine, D., & Thomas, D. (2003). The effects of diversity on business performance: Report of the diversity research network. Human Resource Management, 42(1), 3-21.
  • Kraaijenbrink, J., Spender, J.-C., & Groen, A. J. (2010). The Resource-Based View: A Review and Assessment of Its Critiques. Journal of Management, 36(1), 349-372.
  • Krackhardt, D., & Hanson, J. R. (1993). Informal networks: The company behind the chart. Harvard Business Review, 71(4), 104-111.
  • Kristof, A. L. (1996). Person-organization fit: An integrative review of its conceptualizations, measurement, and implications. Personnel Psychology, 49(1), 1-49.
  • Kristof-Brown, A. L., Zimmerman, R. D., & Johnson, E. C. (2005). Consequences of Individuals’ Fit at Work: A Meta-Analysis of Person–Job, Person–Organization, Person–Group, and Person–Supervisor Fit. Personnel Psychology, 58(2), 281-342.
  • Lee, E., Karimi, F., Wagner, C., Jo, H.-H., Strohmaier, M., & Galesic, M. (2019). Homophily and minority-group size explain perception biases in social networks. Nature Human Behaviour, 3(10), 1078-1087.
  • Leicht-Deobald, U., Busch, T., Schank, C., Weibel, A., Schafheitle, S., Wildhaber, I., & Kasper, G. (2022). The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity. Içinde K. Martin, K. Shilton, & J. Smith (Ed.), Business and the Ethical Implications of Technology (ss. 71-86). Springer Nature Switzerland.
  • Lewis, M. W. (2000). Exploring Paradox: Toward a More Comprehensive Guide. Academy of Management Review, 25(4), 760-776.
  • Lichtenstein, B. B., Uhl-Bien, M., Marion, R., Seers, A., Orton, J. D., & Schreiber, C. (2006). Complexity leadership theory: An interactive perspective on leading in complex adaptive systems. Emergence: Complexity and Organization, 8(4), 2-13.
  • London, M. (2003). Job Feedback: Giving, Seeking, and Using Feedback for Performance Improvement. Lawrence Erlbaum.
  • Longenecker, C., & Fink, L. S. (2015). Exceptional HR leadership rests on four foundations: Business acumen, trust, expertise and culture make up the cornerstones. Human Resource Management International Digest, 23(1), 21-24.
  • Malik, A., Budhwar, P., Patel, C., & Srikanth, N. R. (2022). May the bots be with you! Delivering HR cost-effectiveness and individualised employee experiences in an MNE. The International Journal of Human Resource Management, 33(6), 1148-1178.
  • Marin-Garcia, J. A., & Tomas, J. M. (2016). Deconstructing AMO framework: A systematic review. Intangible Capital, 12(4), 1040-1087.
  • Massari, G. F., Giannoccaro, I., & Carbone, G. (2019). Are distrust relationships beneficial for group performance? The influence of the scope of distrust on the emergence of collective intelligence. International Journal of Production Economics, 208, 343-355.
  • Mechkova, V., Luhrmann, A., & Lindberg, S. I. (2017). How much democratic backsliding? Journal of Democracy, 28, 162.
  • Milkovich, G., Newman, J. M., & Gerhart, B. (2014). Compensation. McGraw-Hill.
  • Minkov, M., & Hofstede, G. (2013). Cross-Cultural Analysis: The Science and Art of Comparing the World’s Modern Societies and Their Cultures. California: SAGE Publications.
  • Miller, J. H., & Page, S. E. (2007). Complex Adaptive Systems: An Introduciton to Computational Models of Social Life. Princeton University Press.
  • Mitchell, M. (2009). Complexity: A guided tour. Oxford University Press.
  • Noe, R. A. (2019). Employee Training and Development. McGraw-Hill Education.
  • Pillai, R., & Sivathanu, B. (2020). Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations. Benchmarking: An International Journal, 27(9), 2599-2629.
  • Rynes, S. L., Gerhart, B., & Minette, K. A. (2004). The importance of pay in employee motivation: Discrepancies between what people say and what they do. Human Resource Management, 43(4), 381-394.
  • Salas, E., Tannenbaum, S. I., Kraiger, K., & Smith-Jentsch, K. A. (2012). The science of training and development in organizations: What matters in practice. Psychological Science in the Public Interest, 13(2), 74-101.
  • Samimi, E. (2023). Walking at the edge: How tempo-spatial nexus forms HRM practices in project-based organizations. Frontiers in Psychology, 14.
  • Schein, E. H. (2010). Organizational Culture and Leadership. John Wiley & Sons.
  • Schneider, B., & Barbera, K. M. (2014). The Oxford Handbook of Organizational Climate and Culture. Oxford Univesity Press.
  • Sivathanu, B., & Pillai, R. (2018). Smart HR 4.0 – how industry 4.0 is disrupting HR. HRMI Digest, 26(4), 7-11.
  • Sloman, S. J., Goldstone, R. L., & Gonzalez, C. (2021). A Social Interpolation Model of Group Problem-Solving. Cognitive Science, 45(12), e13066.
  • Smaldino, P. E. (2014). The cultural evolution of emergent group-level traits | Behavioral and Brain Sciences | Cambridge Core. Behavioral and Brain Sciences, 37(3), 243-254.
  • Smith, W. K., & Lewis, M. W. (2011). Toward a Theory of Paradox: A Dynamic equilibrium Model of Organizing. Academy of Management Review, 36(2), 381-403.
  • Smith, P. A. C., & Sharicz, C. A. (2013). The bi-modal organization: Balancing autopoiesis and fluid social networks for sustainability. Learning Organization, 20(2), 134-152.
  • Solé, R., Moses, M., & Forrest, S. (2019). Liquid brains, solid brains. Philosophical Transactions of the Royal Society B: Biological Sciences, 374(1774), 20190040.
  • Sydow, J., Schreyögg, G., & Koch, J. (2009). Organizational Path Dependence: Opening the Black Box. Academy of Management Review, 34(4), 689-709.
  • Tajfel, H. (1981). Human groups and social categories: Studies in social psychology. Cambridge University Press.
  • Tannenbaum, S. I., Beard, R. L., & Salas, E. (1992). Team Building and its Influence on Team Effectiveness: An Examination of Conceptual and Empirical Developments. Advances in Psychology, 82, 117-153.
  • Tharenou, P., Saks, A. M., & Moore, C. (2007). A review and critique of research on training and organizational-level outcomes. Human Resource Management Review, 17(3), 251-273.
  • Uhl-Bien, M., Marion, R., & McKelvey, B. (2007). Complexity Leadership Theory: Shifting leadership from the industrial age to the knowledge era. Leadership Quar., 18(4), 298-318.
  • van den Heuvel, S., & Bondarouk, T. (2017). The rise (and fall?) of HR analytics: A study into the future application, value, structure, and system support. Journal of Organizational Effectiveness: People and Performance, 4(2), 157-178.
  • Wiener, N. (2019). Cybernetics or Control and Communication in the Animal and the Machine, Reissue of the 1961 second edition. MIT Press.
  • Wimsatt, W. C. (1972). Complexity and organization. PSA: Proceedings of the biennial meeting of the Philosophy of Science Association, 1972, 67-86.
  • Wright, P. M., Dunford, B. B., & Snell, S. A. (2001). Human resources and the resource based view of the firm. Journal of Management, 27(6), 701-722.
  • Wright, P. M., & McMahan, G. C. (1992). Theoretical perspectives for strategic human resource management. Journal of Management, 18(2), 295-321.
  • Wright, P. M., & Ulrich, M. D. (2017). A Road well traveled: The Past, present, and future journey of strategic human resource management. Ann. Review of Organizational Psychology and Organizational Behavior, 4(1), 45-65.
  • Yin, R. K. (2018). Case Study Research and Applications: Design and Methods. Sage.

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

Yıl 2024, Sayı: 81, 139 - 167, 26.07.2024
https://doi.org/10.51290/dpusbe.1431589

Öz

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.

Kaynakça

  • Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Artificial intelligence: The ambiguous labor market impact of automating prediction. Journal of Economic Perspectives, 33(2), 31-50.
  • Aguinis, H. (2009). Performance Management. Pearson Education.
  • Aguinis, H., Joo, H., & Gottfredson, R. K. (2011). Why we hate performance management—And why we should love it. Business Horizons, 54(6), 503-507.
  • 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.
  • Fried, Y., Grant, A. M., Levi, A. S., Hadani, M., & Slowik, L. H. (2007). Job design in temporal context: A career dynamics perspective. Journal of Organizational Behavior, 28(7), 911-927.
  • Galesic, M., Barkoczi, D., Berdahl, A. M., Biro, D., Carbone, G., Giannoccaro, I., Goldstone, R. L., Gonzalez, C., Kandler, A., Kao, A. B., Kendal, R., Kline, M., Lee, E., Massari, G. F., Mesoudi, A., Olsson, H., Pescetelli, N., Sloman, S. J., Smaldino, P. E., & Stein, D. L. (2023). Beyond collective intelligence: Collective adaptation. Journal of the Royal Society Interface, 20(200), 20220736.
  • Galesic, M., Olsson, H., Dalege, J., van der Does, T., & Stein, D. L. (2021). Integrating social and cognitive aspects of belief dynamics: Towards a unifying framework. Journal of The Royal Society Interface, 18(176), 20200857.
  • Gennard, J., & Judge, G. (2005). Employee Relations. Chartered Institute of Personnel and Development.
  • Gerhart, B., & Fang, M. (2014). Pay for (individual) performance: Issues, claims, evidence and the role of sorting effects. Human Resource Management Review, 24(1), 41-52.
  • Gravili, G., Hassan, R., Avram, A., & Schiavone, F. (2023). Big data and human resource management: Paving the way toward sustainability. European Journal of Innovation Management, 26(7), 552-590.
  • Gunbayi, I. (2020). Action Research as a Mixed Methods Research: Definition, Philosophy, Types, Process, Political and Ethical Issues and Pros and Cons. Journal of Mixed Methods Studies, 1(2), 16-26.
  • Gunbayi, I., & Sorm, S. (2020). Social Paradigms in Guiding Management Social Development and Social Research. Pegem Academy.
  • Günbayı, I., & Aşkun, V. (2023). Grounded Teori ya da Temellendirilmiş Kuram, Gömülü Teori, Kuram Oluşturma vs. Kullanımı Adına Yol Haritası. İnönü Üniversitesi Eğitim Fakültesi Dergisi, 24(3), 1671-1697.
  • Harter, J. K., Schmidt, F. L., & Hayes, T. L. (2002). Business-unit-level relationship between employee satisfaction, employee engagement, and business outcomes: A meta-analysis. Journal of Applied Psychology, 87(2), 268-279.
  • Hassan, Z. (2022). Employee retention through effective human resource management practices in Maldives: Mediation effects of compensation and rewards system. Journal of Entrepreneurship, Management and Innovation, 18(2), 137-174.
  • Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind. New York, NY: McGraw-Hill.
  • Holland, J. H. (1995). Hidden order: How adaptation builds complexity. Basic Books.
  • Holland, J. H. (2006). Studying complex adaptive systems. Journal of Systems Science and Complexity, 19(1), 1-8.
  • Holland, J. H. (2014). Complexity: A Very Short Introduction. Oxford University Press.
  • Ison, R. L., Collins, K. B., & Wallis, P. J. (2015). Institutionalising social learning: Towards systemic and adaptive governance. Environmental Science and Policy, 53, 105-117.
  • Katz, D. M., Bommarito, M. J., & Blackman, J. (2017). A general approach for predicting the behavior of the Supreme Court of the United States. PLOS ONE, 12(4), e0174698.
  • Kerr, N. L., & Tindale, R. S. (2004). Group Performance and Decision Making. Annual Review of Psychology, 55(1), 623-655.
  • Kochan, T., Bezrukova, K., Ely, R., Jackson, S., Joshi, A., Jehn, K., Leonard, J., Levine, D., & Thomas, D. (2003). The effects of diversity on business performance: Report of the diversity research network. Human Resource Management, 42(1), 3-21.
  • Kraaijenbrink, J., Spender, J.-C., & Groen, A. J. (2010). The Resource-Based View: A Review and Assessment of Its Critiques. Journal of Management, 36(1), 349-372.
  • Krackhardt, D., & Hanson, J. R. (1993). Informal networks: The company behind the chart. Harvard Business Review, 71(4), 104-111.
  • Kristof, A. L. (1996). Person-organization fit: An integrative review of its conceptualizations, measurement, and implications. Personnel Psychology, 49(1), 1-49.
  • Kristof-Brown, A. L., Zimmerman, R. D., & Johnson, E. C. (2005). Consequences of Individuals’ Fit at Work: A Meta-Analysis of Person–Job, Person–Organization, Person–Group, and Person–Supervisor Fit. Personnel Psychology, 58(2), 281-342.
  • Lee, E., Karimi, F., Wagner, C., Jo, H.-H., Strohmaier, M., & Galesic, M. (2019). Homophily and minority-group size explain perception biases in social networks. Nature Human Behaviour, 3(10), 1078-1087.
  • Leicht-Deobald, U., Busch, T., Schank, C., Weibel, A., Schafheitle, S., Wildhaber, I., & Kasper, G. (2022). The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity. Içinde K. Martin, K. Shilton, & J. Smith (Ed.), Business and the Ethical Implications of Technology (ss. 71-86). Springer Nature Switzerland.
  • Lewis, M. W. (2000). Exploring Paradox: Toward a More Comprehensive Guide. Academy of Management Review, 25(4), 760-776.
  • Lichtenstein, B. B., Uhl-Bien, M., Marion, R., Seers, A., Orton, J. D., & Schreiber, C. (2006). Complexity leadership theory: An interactive perspective on leading in complex adaptive systems. Emergence: Complexity and Organization, 8(4), 2-13.
  • London, M. (2003). Job Feedback: Giving, Seeking, and Using Feedback for Performance Improvement. Lawrence Erlbaum.
  • Longenecker, C., & Fink, L. S. (2015). Exceptional HR leadership rests on four foundations: Business acumen, trust, expertise and culture make up the cornerstones. Human Resource Management International Digest, 23(1), 21-24.
  • Malik, A., Budhwar, P., Patel, C., & Srikanth, N. R. (2022). May the bots be with you! Delivering HR cost-effectiveness and individualised employee experiences in an MNE. The International Journal of Human Resource Management, 33(6), 1148-1178.
  • Marin-Garcia, J. A., & Tomas, J. M. (2016). Deconstructing AMO framework: A systematic review. Intangible Capital, 12(4), 1040-1087.
  • Massari, G. F., Giannoccaro, I., & Carbone, G. (2019). Are distrust relationships beneficial for group performance? The influence of the scope of distrust on the emergence of collective intelligence. International Journal of Production Economics, 208, 343-355.
  • Mechkova, V., Luhrmann, A., & Lindberg, S. I. (2017). How much democratic backsliding? Journal of Democracy, 28, 162.
  • Milkovich, G., Newman, J. M., & Gerhart, B. (2014). Compensation. McGraw-Hill.
  • Minkov, M., & Hofstede, G. (2013). Cross-Cultural Analysis: The Science and Art of Comparing the World’s Modern Societies and Their Cultures. California: SAGE Publications.
  • Miller, J. H., & Page, S. E. (2007). Complex Adaptive Systems: An Introduciton to Computational Models of Social Life. Princeton University Press.
  • Mitchell, M. (2009). Complexity: A guided tour. Oxford University Press.
  • Noe, R. A. (2019). Employee Training and Development. McGraw-Hill Education.
  • Pillai, R., & Sivathanu, B. (2020). Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations. Benchmarking: An International Journal, 27(9), 2599-2629.
  • Rynes, S. L., Gerhart, B., & Minette, K. A. (2004). The importance of pay in employee motivation: Discrepancies between what people say and what they do. Human Resource Management, 43(4), 381-394.
  • Salas, E., Tannenbaum, S. I., Kraiger, K., & Smith-Jentsch, K. A. (2012). The science of training and development in organizations: What matters in practice. Psychological Science in the Public Interest, 13(2), 74-101.
  • Samimi, E. (2023). Walking at the edge: How tempo-spatial nexus forms HRM practices in project-based organizations. Frontiers in Psychology, 14.
  • Schein, E. H. (2010). Organizational Culture and Leadership. John Wiley & Sons.
  • Schneider, B., & Barbera, K. M. (2014). The Oxford Handbook of Organizational Climate and Culture. Oxford Univesity Press.
  • Sivathanu, B., & Pillai, R. (2018). Smart HR 4.0 – how industry 4.0 is disrupting HR. HRMI Digest, 26(4), 7-11.
  • Sloman, S. J., Goldstone, R. L., & Gonzalez, C. (2021). A Social Interpolation Model of Group Problem-Solving. Cognitive Science, 45(12), e13066.
  • Smaldino, P. E. (2014). The cultural evolution of emergent group-level traits | Behavioral and Brain Sciences | Cambridge Core. Behavioral and Brain Sciences, 37(3), 243-254.
  • Smith, W. K., & Lewis, M. W. (2011). Toward a Theory of Paradox: A Dynamic equilibrium Model of Organizing. Academy of Management Review, 36(2), 381-403.
  • Smith, P. A. C., & Sharicz, C. A. (2013). The bi-modal organization: Balancing autopoiesis and fluid social networks for sustainability. Learning Organization, 20(2), 134-152.
  • Solé, R., Moses, M., & Forrest, S. (2019). Liquid brains, solid brains. Philosophical Transactions of the Royal Society B: Biological Sciences, 374(1774), 20190040.
  • Sydow, J., Schreyögg, G., & Koch, J. (2009). Organizational Path Dependence: Opening the Black Box. Academy of Management Review, 34(4), 689-709.
  • Tajfel, H. (1981). Human groups and social categories: Studies in social psychology. Cambridge University Press.
  • Tannenbaum, S. I., Beard, R. L., & Salas, E. (1992). Team Building and its Influence on Team Effectiveness: An Examination of Conceptual and Empirical Developments. Advances in Psychology, 82, 117-153.
  • Tharenou, P., Saks, A. M., & Moore, C. (2007). A review and critique of research on training and organizational-level outcomes. Human Resource Management Review, 17(3), 251-273.
  • Uhl-Bien, M., Marion, R., & McKelvey, B. (2007). Complexity Leadership Theory: Shifting leadership from the industrial age to the knowledge era. Leadership Quar., 18(4), 298-318.
  • van den Heuvel, S., & Bondarouk, T. (2017). The rise (and fall?) of HR analytics: A study into the future application, value, structure, and system support. Journal of Organizational Effectiveness: People and Performance, 4(2), 157-178.
  • Wiener, N. (2019). Cybernetics or Control and Communication in the Animal and the Machine, Reissue of the 1961 second edition. MIT Press.
  • Wimsatt, W. C. (1972). Complexity and organization. PSA: Proceedings of the biennial meeting of the Philosophy of Science Association, 1972, 67-86.
  • Wright, P. M., Dunford, B. B., & Snell, S. A. (2001). Human resources and the resource based view of the firm. Journal of Management, 27(6), 701-722.
  • Wright, P. M., & McMahan, G. C. (1992). Theoretical perspectives for strategic human resource management. Journal of Management, 18(2), 295-321.
  • Wright, P. M., & Ulrich, M. D. (2017). A Road well traveled: The Past, present, and future journey of strategic human resource management. Ann. Review of Organizational Psychology and Organizational Behavior, 4(1), 45-65.
  • Yin, R. K. (2018). Case Study Research and Applications: Design and Methods. Sage.
Toplam 97 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İnsan Kaynakları Yönetimi
Bölüm ARAŞTIRMA MAKALELERİ
Yazarlar

Volkan Aşkun 0000-0003-2746-502X

Yayımlanma Tarihi 26 Temmuz 2024
Gönderilme Tarihi 4 Şubat 2024
Kabul Tarihi 21 Mayıs 2024
Yayımlandığı Sayı Yıl 2024 Sayı: 81

Kaynak Göster

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. Temmuz 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, sy. 81 (Temmuz 2024): 139-67. https://doi.org/10.51290/dpusbe.1431589.
EndNote Aşkun V (01 Temmuz 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, sy. 81, ss. 139–167, Temmuz 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 (Temmuz 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, sy. 81, 2024, ss. 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.

Dergimiz EBSCOhost, ULAKBİM/Sosyal Bilimler Veri Tabanında, SOBİAD ve Türk Eğitim İndeksi'nde yer alan uluslararası hakemli bir dergidir.