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Use of Artificial Intelligence as Business Strategy in Recruitment Process and Social Perspective

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Digital Business Strategies in Blockchain Ecosystems

Part of the book series: Contributions to Management Science ((MANAGEMENT SC.))

Abstract

The artificial intelligence (AI), which has started to show itself in every field of the changing business world, has now begun to manage the recruitment processes in the human resources departments of enterprises. With the adoption of new technologies in the digital age, business structures have to adapt to new designs and increase the performance of business processes. Providing the right human resources during the recruitment process is one of the most important functions of human resources management. In particular, it is important for an enterprise to find, attract and manage talented employees. A talented human resources department is the most strategic point that directly leads an enterprise to profitability. At this point, candidate evaluation stages are very important for a successful recruitment process. In this regard, it is important to have accurate monitoring and evaluation tools associated with the performance and potential of the candidates in terms of the organization of enterprises and management of human resources. In consideration of the foregoing facts, the aim of this study is to reveal the benefits and risks of AI-based use on human and community in recruitment processes in human resources department. The applications of artificial intelligence are explained with examples.

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References

  • Acar, A. C. (2013). İnsan kaynakları planlaması ve işgören seçimi, insan kaynakları yönetimi. İÜ İşletme Fakültesi İnsan Kaynakları Yönetimi ABD Öğretim Üyeleri. İstanbul: Beta, 87–157.

    Google Scholar 

  • Aksakal, E., & Dağdeviren, M. (2010). Anp ve Dematel Yöntemleri ile Personel Seçimi Problemine Bütünleşik Bir Yaklaşim. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 25(4), 905–913.

    Google Scholar 

  • Altun, A., & Kovancı, A. (2004). Personel Seçiminde Mülakat ve Mülakat Yöntemleri. Havacılık ve Uzay Teknolojileri Dergisi, 1(3), 55–61.

    Google Scholar 

  • Barr, A., & Feigenbaum, E. A. (1981). The handbook of artificial intelligence (pp. 163–171). Los Altos, CA: William Kaufmann..

    Google Scholar 

  • Bersin, J. (2018). HR technology disruptions for 2018: Productivity, design, and intelligence reign. Deloitte Consulting LLP: Bersin.

    Google Scholar 

  • Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. V. (2013). Visions and voices on emerging challenges in digital business strategy. MIS Quarterly, 37(2), 14–001.

    Article  Google Scholar 

  • Boudreau, J. W., & Ziskin, I. (2011). The future of HR and effective organizations. Organizational Dynamics, 40(4), 255–266.

    Article  Google Scholar 

  • Bulmash, J. (2008). Human resources management and technology. https://catalogue.pearsoned.ca/assets/hip/.../0132270870.pdf

  • Canman, D. (2000). İnsan Kaynakları Yönetimi. Ankara: Yargı Yayınevi.

    Google Scholar 

  • Çavdar, H., & Çavdar, M. (2010). İşletmelerde İşgören Bulma Ve Seçme Aşamaları. Journal of Naval Science and Engineering, 6(1), 79–93.

    Google Scholar 

  • Cerebro (2018).Yapay Zeka Dokunuşu ile İnsan Kaynakları. Retrieved April 08, 2019, from https://medium.com/@cerebro.tech/yapay-zeka-dokunu%C5%9Fu-ile-i%CC%87nsan-kaynaklar%C4%B1-152eebdc23a9

  • Cleveland, J. N., Byrne, Z. S., & Cavanagh, T. M. (2015). The future of HR is RH: Respect for humanity at work. Human Resource Management Review, 25(2), 146–161.

    Article  Google Scholar 

  • Clichy. (2018). L’Oréal deploys with Mya Systems an AI solution to enhance the candidate journey. Retrieved March 28, 2019, from https://mediaroom.loreal.com/en/loreal-deploys-with-mya-systems-an-ai-solution-to-enhance-the-candidate-journey/

  • Collings, D. G., Wood, G. T., & Szamosi, L. T. (2018). Human resource management: A critical approach. In Human resource management (pp. 1–23). London: Routledge.

    Chapter  Google Scholar 

  • Conrad, A. (2019). HR trends in 2019: The future of human resource management, HRIS. Retrieved April 08, 2019, from https://selecthub.com/hris/future-of-hr-software-trends/

  • DeCenzo, D. A., & Robbins, S. P. (2007). Fundamentals of human resource management. Hoboken, NJ: Wiley.

    Google Scholar 

  • DeNisi, A. S., & Griffin, R. W. (2008). Human resource management (Third ed.). Boston, MA: Houghton Mifflin Company.

    Google Scholar 

  • Doğan, A. (2002). Yapay Zekâ. İstanbul: Kariyer Yayıncılık.

    Google Scholar 

  • Doğan, A., & Önder, E. (2014). İnsan Kaynaklari Temin ve Seçiminde Çok Kriterli Karar Verme Tekniklerinin Kullanılması Ve Bir Uygulama (Using multi criteria decision techniques in recruiting and selection of human resources and an application). Journal of Yasar University, 9(34), 5796–5819.

    Google Scholar 

  • Erden, A. (2003). Robotik. Yeni Ufuklar Eki, Mayıs: Bilim ve Teknik Dergisi.

    Google Scholar 

  • Fisher, C. D., Schoenfeldt, L. F., & Shaw, J. B. (2006). Human resource management (Sixth ed.). Boston: Houghton Mifflin Company.

    Google Scholar 

  • French, W. L. (2007). Human resource management (Sixth ed.). Boston: Houghton Mifflin Company.

    Google Scholar 

  • Ghosh, P. (2017). The business analyst in the world of artificial intelligence and machine learning. Retrieved March 28, 2019, from https://www.dataversity.net/business-analyst-world-artificial-intelligence-machine-learning/

  • Göçoğlu, V., & Kurt, İ. D. (2018). Kamu Kurumlarında İnsan Kaynakları Yönetimi ve Teknoloji: Gelecek Odaklı Bir Değerlendirme. Yönetim Akademisi, 1(3), 357–367.

    Google Scholar 

  • Gültekin, B., Biroğul, S., & Yücedağ, İ. (2015). İşe Alım Süreci Aday Ön Tesbitinde Bulanık Mantık Tabanlı SQL Sorgulama Yönteminin İncelenmesi. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 3(1), 198–209.

    Google Scholar 

  • Hant, V. D. (1986). Artificial intelligence and expert system source book. New York: Chapman and Hall Company.

    Book  Google Scholar 

  • Haton, J. P., & Haton, M. C. (1991). Yapay Zeka. İstanbul: Eletişim Yayınları.

    Google Scholar 

  • Heuvel, S. V., & 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.

    Article  Google Scholar 

  • Ingizio, P. (1991). An introduction to expert systems. The University of Houston.

    Google Scholar 

  • Jain, S. (2017). Is artificial intelligence the next big thing in HR?, International Conference on Innovative Research in Science, Technology and Management.

    Google Scholar 

  • Koçak, O., & Yüksel, S. (2011). İşgören Seçiminde Kullanılan Yöntemler Üzerine Bir Araştırma: Yalova Örneği. Kamu–İş Dergisi, 12(1), 73–100.

    Google Scholar 

  • Kolbjørnsrud, V., Amico, R., & Thomas, R. J. (2016). How artificial intelligence will redefine management. Harvard Business Review, 2.

    Google Scholar 

  • Köroglu, Y. (2017). Yapay Zeka’nın Teorik ve Pratik Sınırları. Bogaziçi Üniversitesi Yayınevi.

    Google Scholar 

  • Leblebici, D. N. (1996). Çağdaş Kamu Yönetiminde Enformasyon Teknolojisinin Yeri ve Enformasyon Sistemleri. Doktora Tezi, Hacettepe Üniversitesi Sosyal Bilimler Enstitüsü.

    Google Scholar 

  • Maden, İ., Demir, Ş., & Özcan, E. (2003). Türkçeden SQL Sorgularına Çeviri Yapan Bir Doğal Dil İşleme Uygulaması (NALANTS), TBD. 20. Ulusal Bilişim Kurultayı.

    Google Scholar 

  • Malhotra, M. (2017). Digital transformation in HR. International Journal of Interdisciplinary and Multidisciplinary Studies, 4(3), 536–544.

    Google Scholar 

  • Mathis, R. L., & Jackson, J. (2008). Human resource management. Thomson South Western.

    Google Scholar 

  • McGovern, S. L., Pandey, V., Gill, S., Aldrich, T., Myers, C., Desai, C., et al. (2018). The new age: Artificial intelligence for human resource opportunities and functions. London: Ernst & Young LLP.

    Google Scholar 

  • Nilsson, N. J. (2009). The quest for artificial intelligence: A history of ideas and achievements. New York: Cambridge University Press.

    Book  Google Scholar 

  • Nishida, T., Chen, D. G., & Mohri, M. (2007). Fuzzy logic analyses for the spawner-recruitment relationship of bigeye tuna (Thunnus obesus) in the Indian Ocean incorporating the environmental regime shift. Ecological Modelling, 203(1–2), 132–140.

    Article  Google Scholar 

  • Orhan, M. (2019). Yapay Zekanın İş Analizine Etkisi. BA-Works. Retrieved March 28, 2019, from https://ba-works.com/blog/yapay-zekanin-is-analizine-etkisi/

  • Özdemir, Y., Nalbant, K. G., & Başlıgil, H. (2018). Personnel selection for promotion using an integrated fuzzy analytic hierarchy process-Grey relational analysis methodology: A real case study. Anadolu Üniversitesi Bilim Ve Teknoloji Dergisi A-Uygulamalı Bilimler ve Mühendislik, 19(2), 278–292.

    Google Scholar 

  • Öztemel, E. (2012). Yapay Sinir Ağları (artificial neural networks). İstanbul: Papatya Yayıncılık.

    Google Scholar 

  • Provost, E. (2018). In business analysis learnings. Retrieved April 08, 2019, from https://www.ericthebusinessanalyst.com/business-analysts-fear-artificial-intelligence/

  • Retrieved March 28, 2019, from https://hiremya.com/

  • Retrieved March 28, 2019, from https://mya.com

  • Retrieved April 18, 2019, from https://recruitinginnovation.com/

  • Retrieved April 18, 2019, from https://www.myally.ai/

  • Terazi, N. A. (2011). Mülakat Ustalık İster. İstanbul: İstanbul Kominikasyon Yayıncılık.

    Google Scholar 

  • Topçuoğlu, A. (2001). Yapay Zekâ, Bilim ve Teknik Dergisi, Aralık, (409):38.

    Google Scholar 

  • Uçkun, C. G., Latif, H., & Öztürk, Ö. F. (2013). İşletmelerde yönetici adayı havuzu yöntemiyle, yönetici adaylarının belirlenmesi (Thy Uygulaması). Electronic Journal of Vocational Colleges, 3(3), 36–46.

    Google Scholar 

  • Uzun, Y. (2008). İnsan Kaynakları Yönetiminde Bir Uygulama Örneği: İngiltere Sayıştayı. Sayıştay Dergisi, 51–84.

    Google Scholar 

  • Walker, A. J. (1982). HRIS Development. New York: Van Nostrand Reinhold.

    Google Scholar 

  • Yıldız, M., & Yıldırım, B. F. (2018). Yapay Zekâ Ve Robotik Sistemlerin Kütüphanecilik Mesleğine Olan Etkileri. Türk Kütüphaneciliği, 32(1), 26–32.

    Google Scholar 

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Correspondence to Pelin Vardarlier .

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Vardarlier, P., Zafer, C. (2020). Use of Artificial Intelligence as Business Strategy in Recruitment Process and Social Perspective. In: Hacioglu, U. (eds) Digital Business Strategies in Blockchain Ecosystems. Contributions to Management Science. Springer, Cham. https://doi.org/10.1007/978-3-030-29739-8_17

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