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Çağrı Merkezi Süreçlerinde Robotik Süreç Otomasyonu Geliştirilmesi

Year 2022, Volume: 4 Issue: 1, 12 - 24, 30.06.2022

Abstract

İş yönetim sistemlerinin günümüzde değişiminin temel dinamiklerini otomasyon, makine öğrenmesi ve bilgi sistemleri kavramları oluşturmaktadır. Özellikle çağrı merkezi süreçleri müşteri temsilcisinin rutinde gerçekleştirdiği işleri otomatize sistemle yer değiştirecek olmasıyla robotik süreç otomasyonun en uygun kullanım alanlarından biridir. Robotik süreç otomasyonu; ilerleyen teknoloji ile beraber 2020 yılı sonrasında teknoloji firmalarının Bilgi Teknolojileri departmanının, robotlar için insan kaynakları departmanı gibi rol alabileceği iş çözümü dönüşümünü hedefleyen bir teknolojidir. Robotik iş akış otomasyonu; robot, orkestratör, stüdyo ve robotik masaüstü otomasyonu bileşenlerini içeren, herhangi bir insan yorumu gerektirmeden kendini tekrar eden rutin tüm talepler için (çağrı merkezi özelinde başlatılarak, kurumsal firmalar ve müşterileri) iş akışının otomatize edilmesini içeren bir çözümdür. Bu çözüm doğal dil işleme, konuşma analitiği ve görüntü işleme gibi farklı teknolojileri bir arada bulundurmaktadır. RPA (robotic process automation) teknolojisinin yapay zekâ teknolojilerinden beslendiği alanlar; gelen taleplerin doğal dil işleme ile Türk dilinde anlamlandırılması, konuşma analitiği ile çağrı ses datalarının metin datasına çevrilmesi ve görüntü işlemeyle işletim sistemlerinin ve tarayıcıların direkt olarak native (doğal) kütüphanelerini kullanabilmesi ve bu doğal kütüphanelerin desteklenmesidir. Bu çalışmada çağrı merkezinde süreç iyileştirme amacıyla robotik süreç otomasyonu örneği geliştirilmiştir.

References

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Developing Robotic Process Automation in Call Center Processes

Year 2022, Volume: 4 Issue: 1, 12 - 24, 30.06.2022

Abstract

Automation, machine learning and information systems concepts constitute the basic dynamics of the change of business management systems today. Robotic process automation is one of the most suitable areas of use, especially since the call center processes will replace the routine work of the customer representative with an automated system. Robotic process automation; With the advancing technology, it is a technology that aims to transform the business solution in which the Information Technologies department of technology companies can act as the human resources department for robots after 2020. Robotic workflow automation; It is a solution that includes robot, orchestrator, studio and robotic desktop automation components, and automating the workflow for all repetitive routine requests (initiated specifically for the call center, corporate firms and their customers) without requiring any human interpretation. This solution combines different technologies such as natural language processing, speech analytics and image processing. The areas where RPA (robotic process automation) technology is fed by artificial intelligence technologies; interpreting incoming requests in Turkish language with natural language processing, converting call voice data into text data with speech analytics, and enabling operating systems and browsers to directly use native libraries with image processing and supporting these natural libraries. In this study, a robotic process automation example has been developed for process improvement in the call center.

References

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  • [21] Ferrando, F. “Is the post-human a post-woman? Cyborgs, robots, artificial intelligence and the futures of gender: a case study”, European Journal of Forest Research, Vol. 43, pp. 1-17, 2014.
  • [22] Pitts, H. and Dinerstein, A. , “Corbynism’s conveyor belt of ideas: postcapitalism and the politics of social reproduction”, Capital and Class, Vol. 41, pp. 423-434, 2017.
  • [23] Romero, D., Stahre, J., Wuest, T., Noran, O., Bernus, P., Fast-Berglund, A. and Gorecky, D. “Towards an operator 4.0 typology: a human-centric perspective on the fourth industrial revolution technologies” in International conference on computers and industrial engineering (CIE46) proceedings, 29-31 October 2016, Tianjin/China, ISSN 2164-8670, 2016.
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  • [33] Golizadeh, H., Hosseini, M.R., Martek, I., Edwards, D., Gheisari, M., Banihashemi, S. and Zhang, J. (2020), "Scientometric analysis of research on “remotely piloted aircraft”: A research agenda for the construction industry", Engineering, Construction and Architectural Management, Vol. 27 No. 3, pp. 634-657. https://doi.org/10.1108/ECAM-02-2019-0103
  • [34] Santos, F., Pereira, R. and Vasconcelos, J.B. (2020), "Toward robotic process automation implementation: an end-to-end perspective", Business Process Management Journal, Vol. 26 No. 2, pp. 405-420. https://doi.org/10.1108/BPMJ-12-2018-0380
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  • [36] Duan, G., Shen, Z. and Liu, R. (2019), "An MBD based framework for relative position accuracy measurement in digital assembly of large-scale component", Assembly Automation, Vol. 39 No. 4, pp. 685-695. https://doi.org/10.1108/AA-04-2018-062
  • [37] Priyadarshi, P. and Premchandran, R. (2021), "Insecurity and turnover as robots take charge: impact of neuroticism and change-related uncertainty", Personnel Review, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/PR-06-2019-0310
  • [38] Zhang, N. and Liu, B. (2019), "Alignment of business in robotic process automation", International Journal of Crowd Science, Vol. 3 No. 1, pp. 26-35. https://doi.org/10.1108/IJCS-09-2018-0018
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  • [40] Lyne, I. Ngin, C. and Santoyo-Rio, E. (2018), "Understanding social enterprise, social entrepreneurship and the social economy in rural Cambodia", Journal of Enterprising Communities: People and Places in the Global Economy, Vol. 12 No. 3, pp. 278-298. https://doi.org/10.1108/JEC-11-2016-0041
  • [41] Boukhalkhal, S.H., Ihaddoudène, A.N.T., Da Costa Neves, L.F. and Madi, W. (2019), "Dynamic behavior of concrete filled steel tubular columns", International Journal of Structural Integrity, Vol. 10 No. 2, pp. 244-264. https://doi.org/10.1108/IJSI-07-2018-0040
  • [42] Sahu, A.K., Sahu, N.K. and Sahu, A.K. (2018), "Knowledge based decision support system for appraisement of sustainable partner under fuzzy cum non-fuzzy information", Kybernetes, Vol. 47 No. 6, pp. 1090-1121. https://doi.org/10.1108/K-01-2017-0020.
  • [43] Todorovich, P. (2009), "America's emerging megaregions and implications for a national growth strategy", International Journal of Public Sector Management, Vol. 22 No. 3, pp. 221-234. https://doi.org/10.1108/09513550910949208
  • [44] Figueiredo, E., Pais, L., Monteiro, S. and Mónico, L. (2016), "Human resource management impact on knowledge management: Evidence from the Portuguese banking sector ", Journal of Service Theory and Practice, Vol. 26 No. 4, pp. 497-528. https://doi.org/10.1108/JSTP-12-2014-0269
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There are 47 citations in total.

Details

Primary Language Turkish
Subjects Computer Software
Journal Section Cilt 4 - Sayı 1 - 30 Haziran 2022
Authors

Sinan Apak 0000-0002-3263-7167

Seyhan Korkmaz Akgöz 0000-0002-9940-5088

Samet Gürsev 0000-0003-2609-4095

Publication Date June 30, 2022
Published in Issue Year 2022 Volume: 4 Issue: 1

Cite

APA Apak, S., Korkmaz Akgöz, S., & Gürsev, S. (2022). Çağrı Merkezi Süreçlerinde Robotik Süreç Otomasyonu Geliştirilmesi. Journal of Information Systems and Management Research, 4(1), 12-24.