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İK Bilgi Sisteminin Performans Üzerindeki Etkisinin Delone& McLean Başarı Modeli Bağlamında Ölçülmesi

Year 2023, Volume: 7 Issue: 1, 49 - 61, 26.03.2023

Abstract

Amaç: Bu çalışmanın amacı, insan kaynakları yönetimi (İKY) faaliyetlerinde kullanılan bilgi sistemlerinin algılanan örgütsel performans üzerindeki etkinliğini anlamaktır.
Yöntem: Çalışmada, bilgi sistemleri başarı ölçümünde en yaygın kullanılan yöntemlerden biri olan insan kaynakları bilgi sistemlerinin başarısını ölçmek için Delone & McLean Bilgi Sistemleri Başarı Modeli kullanılmıştır. Araştırmanın amaçlarını incelemek amacıyla bu araştırmada tarama deseni kullanılmıştır. Elde edilen veriler SPSS ve AMOS istatistik paket programları aracılığıyla değerlendirilmiştir.
Bulgular: Elde edilen bulgular, Delone ve McLean bilgi sistemleri başarı modeline göre, İK bilgi sistemi kullanımının büyük ölçüde bilgi kalitesi tarafından yönlendirildiği ve bilgi kalitesinin de kurumsal performans üzerinde etkisi olduğu iddiasını desteklemektedir.
Sonuç ve Katkılar: Bahsi geçen başarı modeline göre sadece hizmet kalitesi değişkeni kullanıcı memnuniyeti üzerinde anlamlı bir etkiye sahipken, bilgi ve sistem kalitesinin kullanıcı memnuniyeti üzerinde anlamlı ve pozitif bir etkisi gözlenmemiştir.
Bunun yanında, kullanıcı memnuniyetinin algılanan kurumsal performans üzerindeki etkileri için önemli bir etki tespit edilmemiştir. Son olarak, İK bilgi sisteminin içeriği, algılanan kurumsal performansı önemli ölçüde etkilemiştir.
Sınırlılıklar: Çalışmanın bulguları ile genelleme yaparken, örneklem olarak seçilen deneklerin ve ülkenin doğası gereği getirilen sınırlılıklar göz önünde bulundurulmalıdır. Gelecekteki araştırmalar, İK bilgi sisteminin diğer belirli alanlarında, farklı nedensel değişkenler, ek popülasyonlar ve ek yöntemlerle genişletilmelidir.

References

  • Akman, V. (2010). İnsan kaynakları bilgi sistemi ve Sakarya ilinde uygulama (Yayınlanmamış Yüksek Lisans Tezi). Sakarya Üniversitesi Sosyal Bilimler Enstitüsü, Sakarya, pp. 44-47.
  • Alshibly, H. (2011). Human resources information systems success assessment: An integrative model. Australian journal of basic and applied sciences, 5(5), pp. 157-169.
  • Al-Khowaiter, W., Dwivedi, Y. and Williams, M. (2013). Conceptual Model For Examining The Adoption And Success Of Human Resource Information Systems In Public Sector Organisations In Saudi Arabia. Proceedings of UK Academy For Information Systems Conference.
  • Amorim, E. V. (2014). Energy related information systems and user expectations. Procedia technology, vol. 16, pp. 775-779.
  • Ankrah, E. & Sokro E. (2012). Human resource information system as a strategic tool in human resource management. Problems of management in the 21 st century,vol. 5, pp. 6 -15.
  • Aras, M. & Bayraktaroğlu, S. (2013). İnsan kaynakları bilgi sistemlerinde kullanıcı bilgi tatmini: sistemsel değişkenlerin etkisi. Sakarya iktisat dergisi, 2(5), pp. 1-21.
  • Arazy, O. and Kopak, R. (2011). On the measurability of information quality. Journal of the American society for information science and technology, 62(1), pp. 89-99.
  • Bal, Y. & Bozkurt, S. & Ertemsir, E. (2012). The importance of using human resources information systems (HRIS) and a research on determınıng the success of HRIS. Management, Knowledge and Learning International Conference, pp. 53-62.
  • Baroudi, J. & Orlikowski, W., (1988). A short-form measure of user information satisfaction: a psychometric evaluation and notes on use. Journal of management information systems, vol. 4, pp. 44-59.
  • Beckers, A.M. & Bsat, M.Z. (2002). A DSS classification model for research in human resource information systems. Information systems management, 19(3), pp. 41-50.
  • Burton-Jones, A. & Straub, D. (2006). Reconceptualizing system usage: an approach and empirical test. Information systems research, 17(3), pp. 228-246.
  • Cho K. W., Bae S. K., Ryu J. H., Kim K. N., An C. H., Chae Y. M. (2015). Performance evaluation of public hospital information systems by the information system success model. Health inform res, 21(1), pp. 43-8.
  • Davarpanah, A. and Mohamed, N. (2013). Human Resource Information Systems (HRIS) Success Factors In A Public Higher Education Institution Context. Proceedings of 3 rd International Conference on Research and Innovation in Information Systems.
  • Davis, G. B. & Olson, M. H. (1985). Management Informatıon Systems, Conceptual Foundations, Structure And Development, 2nd ed. McGraw-Hill.
  • Delone, W. & McLean, E. (2003). The DeLone& McLean Model of information systems success: A ten- year update. Journal of management information systems, 19(4), pp. 9-30.
  • Haines, Y. V. & Petit, A. (1997). Condıtıons for successful, human resource informatıon systems. Human resource management, 36(2), pp. 261–275.
  • Halonen R., Acton T., Golden W., Conboy K. (2009). DeLone & McLean success model as a descriptive tool in evaluating the use of a virtual learning environment. Paper presented at International Conference on Organizational Learning, Knowledge and Capabilities (OLKC 2009), Amsterdam, the Netherlands.
  • Irawan, H. & Syah, I. (2017). Evaluation of Implementation of Enterprise Resource Planning Information System with DeLone& McLean Model Approach. Fifth International Conference on Information and Communication Technology.
  • Kavanagh, J. M. & Thite, M. & Johnson, R. (2013). Human Resources Information Systems, 3rd ed. Thousand Oaks, United States of America, Sage.
  • Kovach, K. A. (2002). Administrative and strategic advantages of HRIS. Employment relations, 29(2), pp. 43-48.
  • Lukassewski, M. K. (2002). The effects of the ability to choose a method of disclosing data and the type of data on reactions to HRIS, School of Business Organizational Studies, University of Albany, State University of Newyork, pp. 34-97.
  • Matthews, M. W. (2011). A current review of empirical procedures of remote sensing in Inland and near-coastal transitional waters. Internation journal of remote sensing, 32(21), pp. 1-45.
  • Nagendra, A. & Deshpande, M. (2013). Human Resource Information Systems (HRIS) in HR planning and development in mid to large sized organizations. Social and behavioral sciences, vol. 133, pp. 61-67.
  • Ojo, A. (2017). Validation of the DeLone and McLean information systems success model. Healthcare informatics research, 23(1), pp. 60-66.
  • Ӧzkan, S. & Hackney, R. & Bilgen, S. (2007). Process based information systems for International business evaluation. Journal of enterprise information management, 20(6), pp. 700-725.
  • Öztürk, Ü. (2008). İnsan kaynakları bilgi sistemleri (ikbs) ile performans değerlemesi arasındaki ilişkinin incelenmesi - bir uygulama (tez).
  • Pai F. Y., Huang K. I. (2011). Applying the technology acceptance model to the introduction of healthcare information systems. Technol forecast soc change, 78(4), pp. 650-60.
  • Petter, S. & Delone, H. W. & McLean, E. R. (2013). Information systems success: the quest for the independent variables. Journal of management information systems, 29(4), pp. 7-62.
  • Ramezan, M. (2009). Measuring the effectiveness of human resource information systems in national iranian oil company an empirical assessment. Iranian journal of management studies, 2(2), pp. 129-145.
  • Rammutloa, W. M. (2017). Application of the Delone and McLean’s Model to Assess The Effectiveness of an Intranet in an Open Distance Learning Library. Faculty of Arts and Social Sciences, Stellenbosch University.
  • Roky, H. & Al Meriouh, Y. (2015). Evaluation by users of an industrial information system (xpps) based on the delone and mclean model for is success. Procedia economics and finance, vol. 26.
  • Seddon, P. (1997). A respecification and extension of the delone and mclean model of is succes. Information systems research, 8(3), pp. 240-253.
  • Seddon, P. B., Staples, D. S., Patnayakuni, R. & Bowtell. M. J. (1999). The dimensions of information systems success. Communications of the a.ssociation for information systems, 2(20).
  • Stone D. L. & Stone-Romero, E. F. & Lukaszewski K. (2006). Factors affecting the acceptance and effectiveness of electronic human resource systems. Human resource management review, vol. 16, pp. 229-244.
  • Tilahun, B, Fritz, F. (2015). Modeling antecedents of electronic medical record system implementation success in lowresource setting hospitals. BMC med inform decis mak, vol. 15, pp. 61.
  • Ulrich, D. (1997). Human Resource Champions. Harvard Business School Press, Boston, MA.
  • Uluköy, M. and İzci, Ç. (2014). İnsan kaynakları bilgi sistemlerine ilişkin başarı değerlendirmesi: Hizmet sektörü uygulaması. Dumlupınar Üniversitesi sosyal bilimler dergisi, vol. 40.
  • Urbach, N. & Muller, B. (2012). The Updated Delone And Mclean Model Of Information Systems Success. In: Dwivedi YK, Wade MR, Schneberger SL, Editors. Information Systems Theory: Explaining And Predicting Our Digital Society. Springer, New York, pp. 1-18.
  • Wang, Y. & Wang, H. & Shee, D. (2007). Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in human behavior.
  • Winkler, A., Dörsing, B., Rief, W. and Shen, Y. (2013). Treatmen of internet addiction: A meta-analysis. Clinical psychology review, 33(2), pp. 317-329.
  • Yu, P., Qian, S. (2018). Developing a theoretical model and questionnaire survey instrument to measure the success of electronic health records in residential aged care. PLoS one, 13(1): e0190749. https://doi.org/10.1371/journal.pone.0190749.
  • Yuthas, K., Young S. T. (1998). Materials matters: assessing the effectiveness of materials management is. Information and management, 33(3), pp. 115-124.

Measuring the Impact of The HR Information System on Performance in The Context of Delone& McLean Success Model

Year 2023, Volume: 7 Issue: 1, 49 - 61, 26.03.2023

Abstract

Purpose: The current research aim is to understand the effectiveness of information systems used in human resources management (HRM) activities on perceived organizational performance.
Methodology: In this study, the Delone & McLean Information Systems Success Model is used for measuring the success of human resources information systems, which is one of the most widely used for information systems success measurement. In order to examine study purposes, this research employed a survey design. The obtained data are evaluated through SPSS and AMOS statistical package programs.
Findings: The study's findings support the claim that, according to Delone and McLean success model, the use of HRIS is largely driven by information quality and HRIS utilization, with information quality also having an impact on organizational performance.
Implications: Based on the mentioned success model, only a service quality parameter has a significant impact on user satisfaction whereas no significant and positive effects of information and system quality on user satisfaction are observed. For the effects of user satisfaction on perceived organizational performance, no significant impact has been identified. Finally, the content of HRIS significantly influenced perceived organizational performance.
Limitations: Any generalization from the findings of this study should be done with caution because of the limitations imposed by the nature of the sampled subjects and country. Future research should extend our efforts by considering specific areas of HRIS with other causal variables, additional populations, and additional methods.

References

  • Akman, V. (2010). İnsan kaynakları bilgi sistemi ve Sakarya ilinde uygulama (Yayınlanmamış Yüksek Lisans Tezi). Sakarya Üniversitesi Sosyal Bilimler Enstitüsü, Sakarya, pp. 44-47.
  • Alshibly, H. (2011). Human resources information systems success assessment: An integrative model. Australian journal of basic and applied sciences, 5(5), pp. 157-169.
  • Al-Khowaiter, W., Dwivedi, Y. and Williams, M. (2013). Conceptual Model For Examining The Adoption And Success Of Human Resource Information Systems In Public Sector Organisations In Saudi Arabia. Proceedings of UK Academy For Information Systems Conference.
  • Amorim, E. V. (2014). Energy related information systems and user expectations. Procedia technology, vol. 16, pp. 775-779.
  • Ankrah, E. & Sokro E. (2012). Human resource information system as a strategic tool in human resource management. Problems of management in the 21 st century,vol. 5, pp. 6 -15.
  • Aras, M. & Bayraktaroğlu, S. (2013). İnsan kaynakları bilgi sistemlerinde kullanıcı bilgi tatmini: sistemsel değişkenlerin etkisi. Sakarya iktisat dergisi, 2(5), pp. 1-21.
  • Arazy, O. and Kopak, R. (2011). On the measurability of information quality. Journal of the American society for information science and technology, 62(1), pp. 89-99.
  • Bal, Y. & Bozkurt, S. & Ertemsir, E. (2012). The importance of using human resources information systems (HRIS) and a research on determınıng the success of HRIS. Management, Knowledge and Learning International Conference, pp. 53-62.
  • Baroudi, J. & Orlikowski, W., (1988). A short-form measure of user information satisfaction: a psychometric evaluation and notes on use. Journal of management information systems, vol. 4, pp. 44-59.
  • Beckers, A.M. & Bsat, M.Z. (2002). A DSS classification model for research in human resource information systems. Information systems management, 19(3), pp. 41-50.
  • Burton-Jones, A. & Straub, D. (2006). Reconceptualizing system usage: an approach and empirical test. Information systems research, 17(3), pp. 228-246.
  • Cho K. W., Bae S. K., Ryu J. H., Kim K. N., An C. H., Chae Y. M. (2015). Performance evaluation of public hospital information systems by the information system success model. Health inform res, 21(1), pp. 43-8.
  • Davarpanah, A. and Mohamed, N. (2013). Human Resource Information Systems (HRIS) Success Factors In A Public Higher Education Institution Context. Proceedings of 3 rd International Conference on Research and Innovation in Information Systems.
  • Davis, G. B. & Olson, M. H. (1985). Management Informatıon Systems, Conceptual Foundations, Structure And Development, 2nd ed. McGraw-Hill.
  • Delone, W. & McLean, E. (2003). The DeLone& McLean Model of information systems success: A ten- year update. Journal of management information systems, 19(4), pp. 9-30.
  • Haines, Y. V. & Petit, A. (1997). Condıtıons for successful, human resource informatıon systems. Human resource management, 36(2), pp. 261–275.
  • Halonen R., Acton T., Golden W., Conboy K. (2009). DeLone & McLean success model as a descriptive tool in evaluating the use of a virtual learning environment. Paper presented at International Conference on Organizational Learning, Knowledge and Capabilities (OLKC 2009), Amsterdam, the Netherlands.
  • Irawan, H. & Syah, I. (2017). Evaluation of Implementation of Enterprise Resource Planning Information System with DeLone& McLean Model Approach. Fifth International Conference on Information and Communication Technology.
  • Kavanagh, J. M. & Thite, M. & Johnson, R. (2013). Human Resources Information Systems, 3rd ed. Thousand Oaks, United States of America, Sage.
  • Kovach, K. A. (2002). Administrative and strategic advantages of HRIS. Employment relations, 29(2), pp. 43-48.
  • Lukassewski, M. K. (2002). The effects of the ability to choose a method of disclosing data and the type of data on reactions to HRIS, School of Business Organizational Studies, University of Albany, State University of Newyork, pp. 34-97.
  • Matthews, M. W. (2011). A current review of empirical procedures of remote sensing in Inland and near-coastal transitional waters. Internation journal of remote sensing, 32(21), pp. 1-45.
  • Nagendra, A. & Deshpande, M. (2013). Human Resource Information Systems (HRIS) in HR planning and development in mid to large sized organizations. Social and behavioral sciences, vol. 133, pp. 61-67.
  • Ojo, A. (2017). Validation of the DeLone and McLean information systems success model. Healthcare informatics research, 23(1), pp. 60-66.
  • Ӧzkan, S. & Hackney, R. & Bilgen, S. (2007). Process based information systems for International business evaluation. Journal of enterprise information management, 20(6), pp. 700-725.
  • Öztürk, Ü. (2008). İnsan kaynakları bilgi sistemleri (ikbs) ile performans değerlemesi arasındaki ilişkinin incelenmesi - bir uygulama (tez).
  • Pai F. Y., Huang K. I. (2011). Applying the technology acceptance model to the introduction of healthcare information systems. Technol forecast soc change, 78(4), pp. 650-60.
  • Petter, S. & Delone, H. W. & McLean, E. R. (2013). Information systems success: the quest for the independent variables. Journal of management information systems, 29(4), pp. 7-62.
  • Ramezan, M. (2009). Measuring the effectiveness of human resource information systems in national iranian oil company an empirical assessment. Iranian journal of management studies, 2(2), pp. 129-145.
  • Rammutloa, W. M. (2017). Application of the Delone and McLean’s Model to Assess The Effectiveness of an Intranet in an Open Distance Learning Library. Faculty of Arts and Social Sciences, Stellenbosch University.
  • Roky, H. & Al Meriouh, Y. (2015). Evaluation by users of an industrial information system (xpps) based on the delone and mclean model for is success. Procedia economics and finance, vol. 26.
  • Seddon, P. (1997). A respecification and extension of the delone and mclean model of is succes. Information systems research, 8(3), pp. 240-253.
  • Seddon, P. B., Staples, D. S., Patnayakuni, R. & Bowtell. M. J. (1999). The dimensions of information systems success. Communications of the a.ssociation for information systems, 2(20).
  • Stone D. L. & Stone-Romero, E. F. & Lukaszewski K. (2006). Factors affecting the acceptance and effectiveness of electronic human resource systems. Human resource management review, vol. 16, pp. 229-244.
  • Tilahun, B, Fritz, F. (2015). Modeling antecedents of electronic medical record system implementation success in lowresource setting hospitals. BMC med inform decis mak, vol. 15, pp. 61.
  • Ulrich, D. (1997). Human Resource Champions. Harvard Business School Press, Boston, MA.
  • Uluköy, M. and İzci, Ç. (2014). İnsan kaynakları bilgi sistemlerine ilişkin başarı değerlendirmesi: Hizmet sektörü uygulaması. Dumlupınar Üniversitesi sosyal bilimler dergisi, vol. 40.
  • Urbach, N. & Muller, B. (2012). The Updated Delone And Mclean Model Of Information Systems Success. In: Dwivedi YK, Wade MR, Schneberger SL, Editors. Information Systems Theory: Explaining And Predicting Our Digital Society. Springer, New York, pp. 1-18.
  • Wang, Y. & Wang, H. & Shee, D. (2007). Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in human behavior.
  • Winkler, A., Dörsing, B., Rief, W. and Shen, Y. (2013). Treatmen of internet addiction: A meta-analysis. Clinical psychology review, 33(2), pp. 317-329.
  • Yu, P., Qian, S. (2018). Developing a theoretical model and questionnaire survey instrument to measure the success of electronic health records in residential aged care. PLoS one, 13(1): e0190749. https://doi.org/10.1371/journal.pone.0190749.
  • Yuthas, K., Young S. T. (1998). Materials matters: assessing the effectiveness of materials management is. Information and management, 33(3), pp. 115-124.
There are 42 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Didem Kale This is me 0009-0003-0496-3445

İpek Kalemci Tüzün 0000-0001-6979-2040

Publication Date March 26, 2023
Published in Issue Year 2023 Volume: 7 Issue: 1

Cite

APA Kale, D., & Kalemci Tüzün, İ. (2023). Measuring the Impact of The HR Information System on Performance in The Context of Delone& McLean Success Model. Başkent Üniversitesi Ticari Bilimler Fakültesi Dergisi, 7(1), 49-61.