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Yüksek Performanslı İş Sistemleri Ölçeğinin Türkçeye Uyarlanması: Geçerlilik ve Güvenilirlik Analizi

Year 2024, Volume: 5 Issue: 3, 365 - 388, 28.10.2024
https://doi.org/10.54733/smar.1539657

Abstract

Bu çalışma, Yüksek Performanslı İş Sistemleri (YPİS) Ölçeğinin Türkçeye uyarlama süreci, ölçeğin geçerliliği ve güvenilirliği üzerine yapılan analizleri ele almaktadır. Bu bağlamda, yazılım ve donanım geliştiren, ayrıca hizmet sağlayıcı teknoloji firmalarında çalışan toplam 201 beyaz yakalı katılımcıdan elde edilen bir veri seti oluşturulmuş, elde edilen veriler üzerinde açımlayıcı faktör analizi (AFA), güvenilirlik analizi, doğrulayıcı faktör analizi (DFA), yakınsak ve ayırt edici geçerlilik analizleri uygulanmıştır. Değerlendirme sürecinde tanımlayıcı istatistiksel yöntemler (Frekans, Oran) dikkate alınmıştır. Bulgular, faktörlerin orijinal veri setindeki değişkenler arasında anlamlı ve kapsayıcı bir yapı oluşturduğunu göstermektedir. Cronbach alpha, 0.950 ile ölçeğin güvenilir olduğuna işaret etmektedir. DFA analizi ise verilerin kabul edilebilir ve güçlü uyum sergilediğini ortaya koymuştur. Son olarak, yakınsak ve ayırt edici geçerlilik analizleri ise ölçeğin geçerliliğini desteklemektedir. Sonuç olarak, bu ölçeğin, Türkiye'deki işletmelerin insan kaynakları uygulamalarını değerlendirmek ve geliştirmek için uygun bir araç potansiyeline sahip olduğu değerlendirilmektedir.

References

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Adaptation of the High-Performance Work Systems Scale into Turkish: Validity and Reliability Analysis

Year 2024, Volume: 5 Issue: 3, 365 - 388, 28.10.2024
https://doi.org/10.54733/smar.1539657

Abstract

The present study focuses on the development of the High-Performance Work Systems Scale, its adaptation to the Turkish context, and an examination of its validity and reliability. Within this context, a dataset was obtained from 201 white-collar employees within technology companies engaged in software, hardware development, and service provision. The collected data was analyzed through exploratory factor analysis (EFA), reliability analysis, confirmatory factor analysis (CFA), as well as convergent and discriminant validity analyses. The evaluations incorporated descriptive statistical methods, specifically frequency and ratio analyses. The findings reveal a significant and comprehensive structure among the factors and original variables within the dataset. The value of Cronbach alpha with 0.950 indicates that the scale is reliable. The DFA exhibited satisfactory and robust alignment with the data. The validity of the scale is further supported by conducting convergent and discriminant validity analyses. As a result, it is acknowledged that the scale has the potential to serve as an appropriate instrument for evaluating and improving human resource practices in Turkish businesses.

References

  • Agarwala, T. (2003). Innovative human resource practices and organizational commitment: An empirical investigation. The International Journal of Human Resource Management, 14(2), 175-197.
  • Aghazadeh, S., & Seyedian, M. (2004). The high‐performance work system: Is it worth using?. Team Performance Management, 10(3/4), 60-64.
  • Aktaş, B. N. (2023). The implementation and long-term sustainability of high-performance work systems: A literature review. Beykoz Akademi Dergisi, 11(1), 141-160.
  • Alafeshat, R., & Tanova, C. (2019). Servant leadership style and high-performance work system practices: Pathway to a sustainable Jordanian airline industry. Sustainability, 11(22), 6191.
  • Alnoaimi, M., & Almahamid, S. (2020). The missing link between high performance work system and product innovation: A systematic review. Arab Gulf Journal of Scientific Research, 37(2), 1-10.
  • Ambad, S. N. A., & Wahab, K. A. (2016). The relationship between corporate entrepreneurship and firm performance: Evidence from Malaysian large companies. International Journal of Business and Society, 17(2), 259-280.
  • Appelbaum, E., & Batt, R. (1993). High-performance work systems: American models of workplace transformation. Economic Policy Institution.
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  • Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246.
  • Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Bulletin, 88(3), 588-606.
  • Boyraz, A. M. (2020). Yüksek performanslı çalışma sistemlerinin örgütsel performansa etkisi ve örgüt kültürünün aracılık rolü üzerine bir araştırma [Yayınlanmamış Doktora Tezi]. Afyon Kocatepe Üniversitesi.
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  • Bryson, A., & White, M. (2021). High-performance work systems and the performance of public sector workplaces in Britain. Oxford Economic Papers, 73(3), 1057-1076.
  • Cao, M., Zhao, Y., & Zhao, S. (2020). Facilitating the implementation process of high-performance work systems: The role of authentic leadership. Frontiers in Psychology, 11, 550711.
  • Cappelli, P., & Neumark, D. (2001). Do “high-performance” work practices improve establishment-level outcomes?. Industrial and Labor Relations Review, 54(4), 737-775.
  • Cattell, R. (1978). The scientific use of factor analysis. Plenum.
  • Chiang, F. F., Birtch, T. A., Cai, Z., & Lam, Y. B. (2015). Continuous improvement: The influence of HPWS, work climate, and collectivism [Conference session]. 75th Annual Meeting of the Academy of Management, Vancouver, Canada.
  • Çakmak, B. Y., & Yiğit, B. (2022). Türkiye’de yüksek performanslı çalışma sistemleri (YPÇS): Sistematik literatür analizi. Uluslararası Ekonomi İşletme ve Politika Dergisi, 6(1), 1-22.
  • Çalışkan, Ç. (2018). Yüksek performanslı çalışma sistemleri algısı, örgütsel vatandaşlık davranışı ve yabancılaşma arasındaki ilişkiler [Yayınlanmamış Doktora Tezi]. Eskişehir Osmangazi Üniversitesi.
  • Danayiyen, A., & Bekaroğlu, S. B. (2019). Hastanelerde yüksek performanslı iş sistemleri ölçeğinin geçerlilik ve güvenilirlik çalışması (Sözlü Sunum). 3. Uluslararası 21. Ulusal Halk Sağlığı Kongresi, Antalya, Türkiye.
  • de Oliveira, L. B., & da Silva, F. F. R. A. (2015). The effects of high performance work systems and leader-member exchange quality on employee engagement: Evidence from a Brazilian non-profit organization. Procedia Computer Science, 55, 1023-1030.
  • Delaney, J. T., & Godard, J. (2001). An industrial relations perspective on the high-performance paradigm. Human Resource Management Review, 11(4), 395-429.
  • Department of Labor, O. o. (1993). High-performance work practices and firm performance. Washington, DC.: U.S. Department of Labor.
  • Ekici, Z., & Türkmen, E. (2020). Yüksek performanslı çalışma sistemleri ölçeği ’nin Türkçeye uyarlanması: Geçerlik ve güvenirlik çalışması. Sağlık ve Hemşirelik Yönetimi Dergisi, 7(1), 1-16.
  • Erkorkmaz, Ü., Etikan, I., Demir, O., Özdamar, K., & Sanisoğlu, S. Y. (2013). Doğrulayıcı faktör analizi ve uyum indeksleri. Türkiye Klinikleri Journal of Medical Sciences, 33(1), 210-223.
  • Evans, W. R., & Davis, W. D. (2005). High-performance work systems and organizational performance: The mediating role of internal social structure. Journal of Management, 31(5), 758-775.
  • Fu, N., Flood, P. C., Bosak, J., Morris, T., & O'Regan, P. (2015). How do high-performance work systems influence organizational innovation in professional service firms?. Employee Relations, 37(2), 209-231.
  • Fu, N., Flood, P. C., Bosak, J., Rousseau, D. M., Morris, T., & O'Regan, P. (2017). High-performance work systems in professional service firms, examining the practices-resources-uses-performance linkage. Human Resource Management, 56(2), 329-352.
  • Gahlawat, N., & Kundu, S. C. (2019). Progressive human resource management and firm performance: Empirical evidence from Indian context. International Journal of Organizational Analysis, 27(3), 471-43.
  • Gardner, T. M., Wright, P. M., & Moynihan, L. M. (2011). The impact of motivation, empowerment, and skill-enhancing practices on aggregate voluntary turnover: The mediating effect of collective affective commitment. Personnel Psychology, 64(2), 315-350.
  • Guthrie, J. P. (2001). High-involvement work practices, turnover, and productivity evidence from New Zealand. Academy of Management Journal, 44(1), 180-190.
  • Han, J., Sun, J., & Wang, H. (2020). Do high-performance work systems generate negative effects? How and when?. Human Resource Management Review, 30(2), 100699.
  • Heffernan, M., & Dundon, T. (2016). Cross-level effects of high-performance work systems (HPWS) and employee well-being: The mediating effect of organisational justice. Human Resource Management Journal, 26(2), 211-231.
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55.
  • Huang, L. C., Ahlstrom, D., Lee, A. Y. P., Chen, S. Y., & Hsieh, M. J. (2016). High performance work systems, employee well-being, and job involvement: An empirical study. Personnel Review, 45(2), 296-314.
  • Huang, Y., Ma, Z., & Meng, Y. (2018). High performance work systems and employee engagement: Empirical evidence from China. Asia Pacific Journal of Human Resources, 56(3), 341-359.
  • Huselid, M. A. (1995). The impact of human resource management practices on turnover, productivity, and corporate financial performance. Academy of Management Journal, 38(3), 635-672.
  • Huselid, M. A., & Becker, B. E. (1995). The strategic impact of high-performance work systems. Working Paper. School of Management and Labor Relations. Rutgers University.
  • Huselid, M. A., & Becker, B. E. (1997). The Impact of high-performance work systems, implementation effectiveness, and alignment with strategy on shareholder wealth. Working Paper. School of Management and Labor Relations. Rutgers University.
  • Ichniowski, C., Shaw, K., & Prennushi, G. (1995). The effects of human resource management practices on productivity (Working Paper No. 5333). National Bureau of Economic Research.
  • Jensen, J. M., Patel, P. C., & Messersmith, J. G. (2013). High-performance work systems and job control: Consequences for anxiety role overload, and turnover intentions. Journal of Management, 39(6), 1699-1724.
  • Karagöz, Y. (2017). SPSS ve AMOS uygulamalı nicel-nitel-karma bilimsel araştırma yöntemleri ve yayın etiği. Nobel Yayın Dağıtım.
  • Karthik, P., & Devi, V. R. (2023). High-performance work systems in the healthcare ındustry: a systematic literature review. Management and Labour Studies, 48(4), 578-606.
  • Kaushik, D., & Mukherjee, U. (2022). High-performance work system: A systematic review of literature. International Journal of Organizational Analysis, 30(6), 1624-1643.
  • Kline, R. B. (2015). Principles and practice of structural equation modeling (4th Edition). Guilford Press.
  • Kling, J. (1995). High-performonce work systems and firm performance. Monthly Labor Review, 118, 29-36.
  • Kloutsiniotis, P. V., Katou, A. A., & Mihail, D. M. (2021). Examining the “dark-side” of high-performance work systems in the Greek manufacturing sector. Employee Relations: The International Journal, 43(5), 1104-1129.
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There are 75 citations in total.

Details

Primary Language Turkish
Subjects Human Resources Management
Journal Section Research Articles
Authors

Burak Nedim Aktaş 0000-0003-3011-4706

Publication Date October 28, 2024
Submission Date August 27, 2024
Acceptance Date September 29, 2024
Published in Issue Year 2024 Volume: 5 Issue: 3

Cite

APA Aktaş, B. N. (2024). Yüksek Performanslı İş Sistemleri Ölçeğinin Türkçeye Uyarlanması: Geçerlilik ve Güvenilirlik Analizi. Sosyal Mucit Academic Review, 5(3), 365-388. https://doi.org/10.54733/smar.1539657