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Determination of Technostress Resources and Technostress Levels of Academicians

Year 2022, , 354 - 383, 29.09.2022
https://doi.org/10.31200/makuubd.1149198

Abstract

This research was carried out to determine the technostress resources and technostress levels of academicians. The population of the research consists of 543 academicians working at Mardin Artuklu University in March-May 2022. The sample of the research consists of 285 academicians reached by the convenience sampling method. The data obtained through online questionnaires were tested using the SPSS 23 program. The tests performed are correlation, frequency analysis, ANOVA test and independent groups t test. It has been observed that work-home conflict, negative affectivity and strain dimensions are formed as technostress sources. Among the hypotheses developed about technostress resources and technostress levels, it has been determined that there is a positive significant relationship between technostress resources and technostress levels, strain, work-home conflict and negative affectivity, and technostress level, technological overload and technological complexity. In addition, no significant relationship was found between technological uncertainty, which is the sub-dimension of technostress, and other variables. As a result of the regression analysis, strain positively and significantly predicts the technological overload, and negative affectivity positively and significantly predicts the technological overload. According to the results of the analysis, it is seen that the work-home conflict, which is the sub-dimension of the source of technostress, does not explain the technological overload.

References

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Akademisyenlerin Teknostres Kaynaklarının ve Teknostres Seviyelerinin Belirlenmesi

Year 2022, , 354 - 383, 29.09.2022
https://doi.org/10.31200/makuubd.1149198

Abstract

Bu araştırma akademisyenlerin teknostres kaynakları ve teknostres sevilerinin belirlenmesi amacıyla gerçekleştirilmiştir. Araştırmanın evrenini 2022 yılı Mart-Mayıs aylarında Mardin Artuklu Üniversitesinde görev yapan 543 akademisyenler oluşturmaktadır. Araştırmanın örneklemini ise kolayda örneklem yöntemiyle ulaşılan 285 akademisyen oluşturmaktadır. Online anketlerle elde edilen veriler SPSS 23 programı kullanılarak test edilmiştir. Yapılan testler korelasyon, frekans analizi, ANOVA, bağımsız gruplar t testidir. Teknostres kaynakları olarak ev-iş yükü, negatif duygular ve gerginlik boyutlarının oluştuğu görülmüştür. Teknostres kaynakları ve tekmostres seviyeleri seviyeleri hakkında geliştirilen hipotezlerden teknostres kaynakları ve teknostres seviyeleri, gerginlik, ev-iş karmaşası ve negatif duygular ile teknostres seviyesi, teknolojik iş yükü ve teknolojik karmaşıklık arasında pozitif yönlü anlamlı ilişki olduğu tespit edilmiştir. Ayrıca teknostres alt boyutu olan teknolojik belirsizlik ile diğer değişkenler arasında anlamlı ilişkiye rastlanmamıştır. Yapılan regresyon analizi sonucunda, gerginlik teknolojik iş yükünü olumlu ve anlamlı olarak yordamaktadır, negatif duygular teknolojik iş yükünü olumlu ve anlamlı olarak yordamaktadır. Analiz sonucuna göre teknostres kaynağı alt boyutu olan ev-iş karmaşasının teknolojik iş yükünü açıklamadığı görülmektedir.

References

  • Ahmad, U., Amin, S., Wan I. and Wan K. (2014). Moderating Effect of Technostress Inhibitors on the Relationship between Technostress Creators and Organisational Commitment. Jurnal Teknologi (Sciences and Engineering). 67. 51-62. Doi: 10.11113/jt.v67.1932.
  • Aktaş, Ö., Büyüktaş, B., Gülle, M. ve Yıldız, M. (2020). Covid-19 virüsünden kaynaklanan izolasyon günlerinde spor bilimleri öğrencilerinin uzaktan eğitime karşı tutumları. Sivas Cumhuriyet Üniversitesi Spor Bilimleri Dergisi, 1(1),1-9.
  • Al-Fudail, M. ve Mellar, H. (2008). Investigating teacher stress when using technology. Computers & Education, 51(3), 1103-1110.
  • Andrade, C. and Matias, M. (2021) Work-related ICT use during off-job time, technology to family conflict and segmentation preference: a study with two generations of employees, Information, Communication & Society, DOI: 10.1080/1369118X.2021.1933564
  • Avaner, E. (2018). Mahremiyet nedir? Mahremiyetin sağlık hizmetleri penceresinden görünürlüğü nasıldır? Turkish Journal of Bioethics. 2018; 5(3): 110-116 DOI: 10.5505/tjob.2018.49368
  • Ayyagari, R (2007). What and Why of Technostress: Technology Antecedents and Implications. Unpublished Doctoral Dissertation, Clemson University https://tigerprints.clemson.edu/all_dissertations/133
  • Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS Quarterly, 35(4), 831–858.
  • Berg-Beckhoff, G., Nielsen, G. and Larsen, E.L. (2018), “Use of information communication technology and stress, burnout, and mental health in older, middle-aged, and younger workers – results from a systematic review”, International Journal of Occupational and Environmental Health, Vol. 23 No. 2, pp. 160-171.
  • Booker, Q. E., Rebman Jr, C. M. ve Kitchens, F. L. (2014). A model for testing technostress in the online education environment: An exploratory study. Issues in Information Systems, 15(2), 214-222.
  • Bostancı, M. (2019). Dijital ebevenylerin sosyal medyada mahremiyet algısı. Academic Journal of Information Technology, 10(38), 115-128. DOI: 10.5824/1309‐1581.2019.3.005.x
  • Brillhart, P. E. (2004). Technostress in the workplace managing stress in the electronic workplace. Journal of American Academy of Business, 5(1/2), 302-307.
  • Brod, C. (1982). Managing technostress: Optimizing the use of computer technology, Personnel Journal, 61/10, 753-757.
  • Brod, C. (1984). Technostress: The human cost of the computer revolution. Reading: Addison-Wesley.
  • Brooks, S., Longstreet, P. ve Califf, C. (2017). Social media induced technostress and its impact on Internet addiction: A distraction-conflict theory perspective. AIS Transactions on Human-Computer Interaction, 9(2), 99-122.
  • Bunjak, A., Černe, M. and Popovič, A. (2021). Absorbed in technology but digitally overloaded: Interplay effects on gig workers’ burnout and creativity, Information & Management, 58(3), 1-12. https://doi.org/10.1016/j.im.2021.103533
  • Califf, C., Sarker, S., Sarker, S. and Fitzgerald, C. (2015), “The bright and dark sides of technostress: an empirical study of healthcare workers”, in Proceedings of the International Conference on Information Systems (ICIS)”.confproc.
  • Camacho, S. and Barrios, A. (2022). Teleworking and technostress: early consequences of a COVID‑19 lockdown. Cognition, Technology & Work, https://doi.org/10.1007/s10111-022-00693-4
  • Can Yalçın, R. ve Beğenirbaş, M. (2021). Covid-19 Pandemi Sürecinde Teknostres ve İş-Aile Çatışması. Çankırı Karatekin Üniversitesi İİBF Dergisi, 11 (2), 700-730. Doi: 10.18074/ckuiibfd.869266
  • Champion, S. (1988). Technostress: Technology’s toll. School Library Journal, 35(3), 48-51.
  • Chandra, S., Shirish, A. and Srivastava, S.C. (2019), “Does technostress inhibit employee innovation? Examining the linear and curvilinear influence of technostress creators”, Communications of the Association for Information Systems, Vol. 44 No. 1, p. 19.
  • Çetin, D. ve Bülbül, T. (2017). Okul yöneticilerinin teknostres algıları ile bireysel yenilikçilik özellikleri arasındaki ilişkinin incelenmesi. Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi, 17(3), 1241-1264.
  • Çoklar, A. N. and Şahin, Y. L. (2011). Technostress Levels of Social Network Users Based on ICTs in Turkey, European Journal of Social Sciences, 23(2), 171-182.
  • Çoklar, A. N. ve Şahin, Y. L. (2011). Technostress levels of social network users based on ICTS in Turkey. European Journal of Social Sciences, 23(2), 171-182.
  • Çoklar, A. N., Efilti, E., Şahin, Y. L. ve Akçay, A. (2016). Investigation of techno-stress levels of teachers who were included in technology integration processes. The Turkish Online Journal of Educational Technology – INTE 2016 özel sayısı. 1331-1339.
  • Elbay, S. (2022). Distance education experiences of middle school 7th grade students in the Turkey during Covid-19 pandemic: virtual museum example, Turkish Online Journal of Distance Education, 23/1, 237-256.
  • Ennis, L. A. (2005) The Evolution of Technostress, Computers in Libraries, vol. 25, no. 8, pp. 10-12
  • Fox, L. M., & Dale, K. (2008). Leadership styles and organizational commitment: Mediating effect of role stress. Journal of Managerial Issues, 20(1), 109–130.
  • Gefen, D. and Straub, D. W. (2000). The relative importance of perceived ease of use in is adoption: A study of e-commerce adoption, Association of Information Systems, 1(8), 1–30.
  • Genç, S. Z., Engin, G. ve Yardım, T. (2020). Pandemi (Covid-19) sürecindeki uzaktan eğitim uygulamalarına ilişkin lisansüstü öğrenci görüşleri, Atatürk Üniversitesi Kazım Karabekir Eğitim Fakültesi Dergisi. 41, 134-158.
  • George, J. F. (1996). Computer-Based Monitoring: Common Perceptions and Empirical Results. MIS Quarterly, 20(4), 459–480. doi:10.2307/249564
  • Ghislieri C, Emanuel F, Molino M, Cortese CG and Colombo L (2017) New Technologies Smart, or Harm Work-Family Boundaries Management? Gender Differences in Conflict and Enrichment Using the JD-R Theory. Front. Psychol. 8:1070. doi: 10.3389/fpsyg.2017.01070
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There are 78 citations in total.

Details

Primary Language Turkish
Subjects Business Administration
Journal Section Articles
Authors

Mehmet Oktay Gökaslan 0000-0003-2949-5804

Publication Date September 29, 2022
Acceptance Date September 28, 2022
Published in Issue Year 2022

Cite

APA Gökaslan, M. O. (2022). Akademisyenlerin Teknostres Kaynaklarının ve Teknostres Seviyelerinin Belirlenmesi. Mehmet Akif Ersoy Üniversitesi Uygulamalı Bilimler Dergisi, 6(2), 354-383. https://doi.org/10.31200/makuubd.1149198