Araştırma Makalesi
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Çağrı Merkezi Çalışanlarının Teknostres Düzeylerinin Demografik Değişkenler Açısından İncelenmesi

Yıl 2025, Cilt: 2 Sayı: 1, 19 - 52, 30.06.2025

Öz

Bu çalışmanın amacı, çağrı merkezi sektöründe çalışanların teknostres (teknoloji kullanımına bağlı stres) düzeylerini demografik değişkenler açısından incelemektedir. Nicel araştırma yaklaşımıyla ve karşılaştırmalı tarama modeli kapsamında gerçekleştirilen çalışmada teknostres kavramı; tekno-iş yükü, tekno-belirsizlik ve tekno-karmaşıklık alt boyutlarıyla ele alınmıştır. Veriler, Aydın ve İzmir illerinde faaliyet gösteren çağrı merkezlerinde görev yapan 325 çalışandan anket yoluyla toplanmıştır. Katılımcıların teknostres düzeyleri, Tarafdar ve arkadaşları (2007) tarafından geliştirilen ve Türen, Erdem ve Kalkın (2015) tarafından Türkçeye uyarlanan 14 maddelik Teknostres Ölçeği ile ölçülmüştür. Araştırma bulgularına göre; cinsiyet, eğitim düzeyi, gelir düzeyi, çalışma biçimi, haftalık çalışma süresi, algılanan iş yükü, haftalık çalışma günü ve kurumda çalışma süresi değişkenleri ile teknostres düzeyleri arasında anlamlı farklılıklar saptanmıştır. Buna karşılık, yaş, medeni durum ve toplam mesleki deneyim değişkenlerinde anlamlı bir farklılık tespit edilmemiştir. Elde edilen bulgular, teknostresin demografik değişkenlere göre anlamlı biçimde farklılaştığını ortaya koyarak, sektör özelinde hedef odaklı müdahale stratejileri geliştirilmesi gerektiğine işaret etmektedir. Bu yönüyle araştırma hem literatüre özgün bir katkı sunmakta hem de uygulayıcılara veri temelli politika geliştirme konusunda yol göstermektedir.

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An Examination of Call Center Employees’ Technostress Levels in Relation to Demographic Variables

Yıl 2025, Cilt: 2 Sayı: 1, 19 - 52, 30.06.2025

Öz

This study aims to examine the levels of technostress (stress induced by technology use) among call center employees in relation to various demographic variables. Conducted within the framework of a quantitative research approach and a comparative survey model, the study conceptualizes technostress through its sub-dimensions: techno-overload, techno-uncertainty, and techno-complexity. Data were collected via a survey administered to 325 employees working in call centers located in the provinces of Aydın and İzmir. Participants' levels of technostress were measured using the 14-item Technostress Scale developed by Tarafdar et al. (2007) and adapted into Turkish by Türen, Erdem, and Kalkın (2015). The findings revealed significant differences in technostress levels based on gender, educational attainment, income level, work arrangement, weekly working hours, perceived workload, number of working days per week, and tenure at the institution. However, no significant differences were observed with respect to age, marital status, or overall professional experience. These results suggest that technostress varies meaningfully according to certain demographic factors, highlighting the need for targeted intervention strategies tailored to the unique dynamics of the call center sector. In this regard, the study offers an original contribution to the literature and provides practitioners with data-driven guidance for policy development.

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  • Renu, N. (2021). Technological advancement in the era of COVID-19. SAGE Open Medicine, 9, 1–4. https://doi.org/10.1177/20503121211000912.
  • Rey-Merchán, M. D. C., López-Arquillos, A., Pires Rosa, M., & Gómez-de-Gabriel, J. M. (2022). Proposal for an institutional carpooling system among workers from the public-education sector. Sustainability, 14(21), 14601. https://doi.org/10.3390/su142114601
  • Rumberger, R. W. (1984). High technology and job loss. Technology in Society, 6(4), 263–284. https://doi.org/10.1016/0160-791X(84)90022-8.
  • Salanova, M., Llorens, S., & Ventura, M. (2014). Technostress: The dark side of technologies. In C. Korunka & P. Hoonakker (Eds.), The impact of ICT on quality of working life (pp. 87–103). Dordrecht: Springer. http://dx.doi.org/10.1007/978-94-017-8854-0_6.
  • Salanova, M., Martínez, I., Cifre, E., & Llorens, S. (2009). Occupational health from a psychosocial perspective: Theoretical and conceptual characteristics. In M. Salanova (Ed.), Occupational health psychology (pp. 27–62). Madrid: Editorial Síntesis.
  • Sankar, P. (2019). The rising applications of automation in emerging world. International Journal on Integrated Education, 2(1), 66–70. https://doi.org/10.17605/ijie.v2i1.524.
  • Sankar, Y., & Natale, S. M. (1990). Technological change, technostress, and industrial humanism. International Journal of Value-Based Management, 3(1), 91–103.
  • Sasidharan, S. (2022). Technostress in the workplace: A social network perspective. Information Technology & People, 35(4), 1219–1238. https://doi.org/10.1108/ITP-09-2020-0649.
  • Schunk, D. H., & Usher, E. L. (2012). Social cognitive theory and motivation. In R. M. Ryan (Ed.), The Oxford handbook of human motivation (pp. 11–26). Oxford: Oxford University Press.
  • Seçer, İ. (2015). SPSS ve LISREL ile pratik veri analizi: Analiz ve raporlaştırma. Ankara: Anı Yayıncılık.
  • Sharma, K. (2019). Technostress explained: Help your team avoid it. Retrieved from https://whatfix.com/blog/beat-workplace-technostress/
  • Shepherd, S. S. G. (2004). Relationships between computer skills and technostress: How does this affect me? In Proceedings of the 2004 ASCUE Conference (pp. 225–231). Myrtle Beach, SC.
  • Stich, J.-F., Tarafdar, M., Stacey, P., & Cooper, C. L. (2019). Appraisal of email use as a source of workplace stress: A person–environment fit approach. Journal of the Association for Information Systems, 20(2), 132–160. https://doi.org/10.17705/1jais.00531.
  • Tagurum, Y. O., Okonoda, K. M., Miner, C. A., Bello, D. A., & Tagurum, D. J. (2017). Effect of technostress on job performance and coping strategies among academic staff of a tertiary institution in North-Central Nigeria. International Journal of Biomedical Research, 8(6), 312–319. https://doi.org/10.7439/ijbr.v8i6.4176.
  • Talib, S. L. A., Jusoh, M. A., Razali, F. A., & Awang, N. B. (2022). Technostress creators in the workplace: A literature review and future research needs in accounting education. Malaysian Journal of Social Sciences and Humanities, 7(7), 1–13. https://doi.org/10.47405/mjssh.v7i7.1625.
  • Tarafdar, M., Cooper, C. L., & Stich, J. F. (2019). The technostress trifecta—techno-eustress, techno-distress and design: Theoretical directions and an agenda for research. Information Systems Journal, 29(1), 6–42. https://doi.org/10.1111/isj.12169.
  • Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007). The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24(1), 301–328. http://dx.doi.org/10.2753/MIS0742-1222240109.
  • Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2011). Crossing to the dark side: Examining creators, outcomes, and inhibitors of technostress. Communications of the ACM, 54(9), 113–120. https://doi.org/10.1145/1995376.1995403.
  • Trist, E. L. (1981). The evolution of socio-technical systems (Vol. 2). Toronto, ON: Ontario Quality of Working Life Centre.
  • Türen, U., Erdem, H., & Kalkın, G. (2015). İş yerinde tekno-stres ölçeği: Havacılık ve bankacılık sektöründe bir araştırma. Çalışma İlişkileri Dergisi, 6(1), 1–19.
  • Upadhyaya, P., & Vrinda. (2021). Impact of technostress on academic productivity of university students. Education and Information Technologies, 26, 1647–1664. https://link.springer.com/article/10.1007/s10639-020-10319-9.
  • Varanasi, R. A., Vashistha, A., Kizilcec, R. F., & Dell, N. (2021). Investigating technostress among teachers in low-income Indian schools. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), Article 29. http://dx.doi.org/10.1145/3476081.
  • Vergine, I., Gatti, F., Berta, G., Marcucci, G., Seccamani, A., & Galimberti, C. (2022). Teachers’ stress experiences during COVID-19-related emergency remote teaching: Results from an exploratory study. Frontiers in Education, 7, Article 1009974. https://doi.org/10.3389/feduc.2022.1009974.
  • Wang, H., Ding, H., & Kong, X. (2023). Understanding technostress and employee well-being in digital work: The roles of work exhaustion and workplace knowledge diversity. International Journal of Manpower, 44(2), 334–353. https://doi.org/10.1108/IJM-08-2021-0480.
  • Wang, K., Shu, Q., & Tu, Q. (2008). Technostress under different organizational environments: An empirical investigation. Computers in Human Behavior, 24(6), 3002–3013. https://doi.org/10.1016/j.chb.2008.05.007.
  • Weil, M. M., & Rosen, L. D. (1995). The psychological impact of technology from a global perspective: A study of technological sophistication and technophobia in university students from twenty-three countries. Computers in Human Behavior, 11(1), 95–133. https://doi.org/10.1016/0747-5632(94)00026-E.
  • Yang, D., Zheng, G. F., Wang, H., & Li, M. (2022). Education, income, and happiness: Evidence from China. Frontiers in Public Health, 10, Article 855327. https://doi.org/10.3389/fpubh.2022.855327.
  • Yao, N., & Wang, Q. (2023). Technostress from smartphone use and its impact on university students’ sleep quality and academic performance. Asia-Pacific Education Researcher, 32(3), 317–326. https://doi.org/10.1007/s40299-022-00654-5.
  • Yaverbaum, G. J. (1988). Critical factors in the user environment: An experimental study of users, organizations, and tasks. MIS Quarterly, 12(1), 75–89. https://doi.org/10.2307/248807.
Toplam 115 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Organizasyon, Örgütsel Davranış
Bölüm Araştırma Makalesi
Yazarlar

Berkin Hanaylı 0000-0001-6590-2038

Güler Tozkoparan 0000-0001-9082-7092

Yayımlanma Tarihi 30 Haziran 2025
Gönderilme Tarihi 9 Mayıs 2025
Kabul Tarihi 20 Mayıs 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 2 Sayı: 1

Kaynak Göster

APA Hanaylı, B., & Tozkoparan, G. (2025). Çağrı Merkezi Çalışanlarının Teknostres Düzeylerinin Demografik Değişkenler Açısından İncelenmesi. Sosyoekonomik Araştırmalar Dergisi, 2(1), 19-52.