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Digitalization and Technostress: Psychosocial Effects and Artificial Intelligence Supported Intervention Opportunities

Year 2026, Volume: 18 Issue: 2, 616 - 627
https://doi.org/10.18863/pgy.1716091

Abstract

Rapid digitalization is profoundly transforming individuals’ lifestyles and work patterns, bringing the phenomenon of technostress to the forefront as a critical factor impacting psychosocial well-being. The constant evolution of technology and the deep integration of digital tools into daily life give rise to anxiety, burnout, occupational insecurity, cognitive overload, and digital dependency. The widespread adoption of remote working and online education, particularly during the pandemic, has made these issues even more visible and intensified the pressure to keep pace with accelerating digital transformation. While artificial intelligence, a cornerstone of this digitalization process, offers significant benefits in the workplace — such as increased speed, efficiency, and personalized service delivery — it simultaneously introduces psychosocial risks including job insecurity, digital addiction, loss of work-life boundaries, and ethical concerns. Technostress manifests in multifaceted negative outcomes: at the individual level through emotional exhaustion and decision-making difficulties; at the family level through disrupted communication and work-family conflict; and at the societal level through social isolation, digital inequality, and the widening digital divide. This review aims to comprehensively analyze the psychosocial effects of digitalization and technostress on individuals, families, and society, while proposing artificial intelligence-assisted, human-centered, and ethically sensitive intervention strategies.

References

  • Acun F (2020) Dijital tarih ve dijital tarihçiliğin tarih yazımına etkisi üzerine. Tarihyazımı, 2:66-90.
  • Ariely D (2010) Akıldışı Ama Öngörülebilir (Çev. A Hekimoğlu Gül, F Şar). İstanbul, Optimist.
  • Ayyagari R, Grover V, Purvis R (2011) Technostress: technological antecedents and implications. MIS Q, 35:831-858.
  • Bako AT, Taylor HL, Wiley K Jr, Zheng J, Walter-McCabe H, Kasthurirathne SN et al. (2021) Using natural language processing to classify social work interventions. Am J Manag Care, 27:e24.
  • Baloğlu ÖÖ (2023) Teknolojik bir dönüşüm olarak dijitalleşme kavramı ve etkileri. Nevşehir Hacı Bektaş Veli Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi, 13:1189-1210.
  • Başcıllar M, Karataş M, Güre MDP (2022) Dijital çağda sosyal algoritmalar: yapay zekâ ve sosyal hizmet. Sosyal Politika Çalışmaları Dergisi, 22:539-565.
  • Bejaković P (2021) Living, working and COVID-19. Ekon Vjesn, 34:245-246.
  • Berg-Beckhoff G, Nielsen G, Ladekjær Larsen E (2017) Use of information communication technology and stress, burnout, and mental health in older, middle-aged, and younger workers – results from a systematic review. Int J Occup Environ Health, 23:160-171.
  • Bernburg M, Gebhardt JS, Groneberg DA, Mache S (2025) Impact of digitalization in dentistry on technostress, mental health, and job satisfaction: a quantitative study. Healthcare (Basel), 13:72.
  • Brennen JS, Kreiss D (2016) Digitalization. In The Wiley Blackwell-ICA International Encyclopedias of Communication: The International Encyclopedia of Communication Theory and Philosophy (Eds KB Jensen, RT Craig, J Pooley, EW Rothenbuhler):1-11. Hoboken, NJ, Wiley.
  • Brod C (1984) Technostress: The Human Cost of the Computer Revolution. London, Addison Wesley.
  • Brynjolfsson E, Hitt LM (2003) Computing productivity: firm-level evidence. Rev Econ Stat, 85:793-808.
  • Brynjolfsson E, McAfee A. (2014) The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. New York, WW Norton.
  • Burns J, Morey C (2008) Technology and young people's mental health and wellbeing. In Challenges in adolescent health: an Australian perspective (Eds DL Bennet, SJ Towns, EJ Elliot, J Merrick):61-71. Melbourne, International Academic Press.
  • Carlotto MS, Welter Wendt G, Jones AP (2017) Technostress, career commitment, satisfaction with life, and work-family interaction among workers in information and communication technologies. Actual Psicol, 31:91-102.
  • Castells M (1996) The Rise of the Network Society: The Information Age: Economy, Society and Culture (Vol. 1). Oxford, UK, Blackwell Publishers.
  • Chelsey N (2005) Blurring boundaries: linking technology use, spillover, individual distress, and family satisfaction. J Marriage Fam, 67:1237-1248.
  • Chiappetta M (2017) The technostress: definition, symptoms and risk prevention. Senses Sci, 4:358-361.
  • Coulthard B, Mallett J, Taylor B (2020) Better decisions for children with big data: can algorithms promote fairness, transparency and parental engagement? Societies, 10:97.
  • Cosma ML (2020) The digital divide, Jan van Dijk. Sociol Rom, 18:244-248.
  • Coyne SM, Stockdale L, Busby D, Iverson B, Grant DM (2011) I luv u: a descriptive study of the media use of individuals in romantic relationships. Fam Relat, 60:150-162.
  • Dilmen NE (2007) Yeni medya kavramı çerçevesinde internet günlükleri-bloglar ve gazeteciliğe yansımaları. Marmara İletişim Dergisi, 12:113-122.
  • Doronina OV (1995) Fear of computers. Russian Education and Society, 37(2):10-28.
  • Drucker SJ, Gumpert G (2012) The impact of digitalization on social interaction and public space. Open House International, 37:92-99.
  • Fors AC (2010) The beauty of the beast: the matter of meaning in digitalization. AI Soc, 25:27-33.
  • Gillingham P (2019) Can predictive algorithms assist decision-making in social work with children and families? Child Abuse Rev, 28:114-126.
  • Goldkind L (2021) Social work and artificial intelligence: into the matrix. Soc Work, 66:372-374.
  • Grządzielewska M (2021) Using machine learning in burnout prediction: a survey. Child Adolesc Soc Work J, 38:175-180.
  • Hodges C, Moore S, Lockee B, Trust T, Bond A (2020) The difference between emergency remote teaching and online learning. EDUCAUSE Review, 27:1-9.
  • Hoffman DL, Novak TP, Venkatesh A (2004) Has the internet become indispensable? Commun ACM, 47:37-42.
  • Jacobi C, Christensen M (2023) Functions, utilities, and limitations: a scoping study of decision support algorithms in social work. J Evid Based Soc Work, 20:323-341.
  • Kaplan A, Haenlein M (2019) Siri, siri, in my hand: who’s the fairest in the land? on the interpretations, illustrations, and implications of artificial intelligence. Bus Horiz, 62:15-25.
  • Karakaş S, Rukancı F, Anameriç H (2009) Belge Yönetimi ve Arşiv Terimleri Sözlüğü. Ankara, Devlet Arşivleri Genel Müdürlüğü.
  • Kiraz E (2021) Yeni medya ve aşırı bilişsel yüklenme. Abant Kültürel Araştırmalar Dergisi, 6:159-173.
  • Kum HC, Stewart CJ, Rose RA, Duncan DF (2015) Using big data for evidence based governance in child welfare. Child Youth Serv Rev, 58:127-136.
  • Kuss DJ, Griffiths MD (2011) Online social networking and addiction—a review of the psychological literature. Int J Environ Res Public Health, 8:3528-3552.
  • Li L, Wang M, Jian M (2025) Artificial intelligence-assisted case management in social work services: a systematic review. Res Soc Work Pract, doi: 10.1177/1049731525132953.
  • Linkov I, Trump BD, Poinsatte-Jones K, Florin MV (2018) Governance strategies for a sustainable digital world. Sustainability, 10:440.
  • López-Robles JR, Otegi-Olaso JR, Gómez IP, Cobo MJ (2019) 30 years of intelligence models in management and business: a bibliometric review. Int J Inf Manage, 48:22-38.
  • Marston S, Li Z, Bandyopadhyay S, Zhang J, Ghalsasi A (2011) Cloud computing—the business perspective. Decis Support Syst, 51:176-189.
  • Mazmanian MA, Orlikowski WJ, Yates J (2005) CrackBerries: The social implications of ubiquitous wireless e-mail devices. In Designing Ubiquitous Information Environments: Socio-Technical Issues and Challenges. IFIP — The International Federation for Information Processing, vol 185 (Eds C Sørensen, Y Yoo, K Lyytinen, JI DeGross):337-343. Boston, MA, Springer.
  • McDaniel BT, Bruess CJ (2013) Technoference: everyday intrusions and interruptions of technology in couple and family relationships. In: Family Communication in the Age of Digital and Social Media (Ed CJ Bruess):228-243. New York, Peter Lang.
  • Means B, Toyama Y, Murphy R, Bakia M, Jones K (2010) Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies. Washington DC, US Department of Education.
  • Molino M, Cortese CG, Ghislieri C (2020) The promotion of technology acceptance and work engagement in industry 4.0: from personal resources to information and training. Int J Environ Res Public Health, 17:2438.
  • Monat A, Lazarus RS (1991) Stress and Coping: an Anthology. New York, Columbia University Press.
  • Olcay S (2018) Sosyalleşmenin dijitalleşmesi olarak sosyal medya ve resimler arasında kaybolma bozukluğu: photolurking. Yeni Medya Elektronik Dergisi, 2:90-104.
  • Oztemel E, Gursev S (2020) Literature review of industry 4.0 and related technologies. J Intell Manuf, 31:127-182.
  • Pan Y (2016) Heading toward artificial intelligence 2.0. Engineering, 2:409-413.
  • Pew Research Center (2014) Pew Internet and American Life Project. Washington, DC, Pew Research Center.
  • Pew Research Center (2018) Internet/broadband fact sheet. https://www.pewresearch.org (Accessed 12.05.2025).
  • Ragu-Nathan TS, Tarafdar M, Ragu-Nathan BS, Tu Q (2008) The consequences of technostress for end users in organizations: conceptual development and empirical validation. Inf Syst Res, 19:417-433.
  • Reamer FG (2023) Artificial intelligence in social work: emerging ethical issues. International Journal of Social Work Values and Ethics, 20(2):52-71.
  • Romero-Brufau S, Wyatt KD, Boyum P, Mickelson M, Moore M, Cognetta-Rieke C (2020) A lesson in implementation: a pre-post study of providers’ experience with artificial intelligence-based clinical decision support. Int J Med Inform, 137:104072.
  • Rosen L, Samuel A (2015) Conquering digital distraction. Harv Bus Rev, 93:110-113.
  • Salanova M, Llorens S, Cifre E (2013) The dark side of technologies: technostress among users of information and communication technologies. Int J Psychol, 48:422-436.
  • Scaramuzzino G, Martinell Barfoed E (2023) Swedish social workers’ experiences of technostress. Nord Soc Work Res, 13:231-244.
  • Sosik JJ, Godshalk VM (2000) Leadership styles, mentoring functions received, and job-related stress: a conceptual model and preliminary study. J Organ Behav, 21:365-390.
  • Sweller J (1988) Cognitive load during problem solving: Effects on learning. Cogn Sci, 12:257–285.
  • Tammisalo K, Rotkirch A (2022) Effects of information and communication technology on the quality of family relationships: a systematic review. J Soc Pers Relat, 39:2724-2765.
  • Tarafdar M, Tu Q, Ragu-Nathan BS, Ragu-Nathan TS (2007) The impact of technostress on role stress and productivity. J Manag Inf Syst, 24:301-328.
  • Tarafdar M, Tu Q, Ragu-Nathan TS (2010) Impact of technostress on end-user satisfaction and performance. J Manag Inf Syst, 27:303–334.
  • Tu Q, Tarafdar M, Ragu-Nathan TS, Ragu-Nathan BS (2008) Improving end-user satisfaction through techno-stress prevention: some empirical evidences. AMCIS 2008 Proceedings, 236..
  • Tu Q, Wang K, Shu Q (2005) Computer-related technostress in China. Commun ACM, 48:77-81.
  • Wang K, Shu Q, Tu Q (2008) Technostress under different organizational environments: an empirical investigation. Comput Human Behav, 24:3002-3013.
  • Yalçın RC, Begenirbaş M (2021) Covid-19 pandemi sürecinde teknostres ve iş-aile çatışması. Çankırı Karatekin Üniversitesi Iktisadi Idari Bilimler Fakültesi Dergisi, 11:701-730.
  • Young K (2015) The evolution of internet addiction disorder. In: Internet Addiction: Neuroscientific Approaches and Therapeutical Interventions (Ed C Montag, M Reuter):3-17. Berlin, Springer:
  • Young KS (1998) Internet addiction: the emergence of a new clinical disorder. Cyberpsychol Behav, 1:237-244.

Dijitalleşme ve Teknostres: Psikososyal Etkiler ve Yapay Zekâ Destekli Müdahale Olanakları

Year 2026, Volume: 18 Issue: 2, 616 - 627
https://doi.org/10.18863/pgy.1716091

Abstract

Hızla ilerleyen dijitalleşme, bireylerin yaşam tarzlarını ve çalışma biçimlerini köklü biçimde dönüştürürken, psikososyal iyilik hâlini olumsuz etkileyen teknostres olgusu giderek daha fazla öne çıkmaktadır. Teknolojinin sürekli yenilenmesi ve dijital araçların günlük yaşama derinlemesine entegrasyonu; kaygı, tükenmişlik, mesleki güvensizlik, bilişsel aşırı yüklenme ve dijital bağımlılık gibi önemli sorunlara yol açmaktadır. Özellikle pandemi döneminde yaygınlaşan uzaktan çalışma ve çevrimiçi eğitim uygulamaları, bu sorunları daha görünür kılmıştır. Dijital dönüşümün hızına yetişme zorunluluğu, teknostresin şiddetini artıran yeni faktörler ortaya çıkarmakta; aynı zamanda bu dönüşümün temel bileşenlerinden biri olan yapay zekâ, iş yaşamında hız, verimlilik ve kişiselleştirilmiş hizmet sunumu gibi avantajlar sağlarken, iş güvencesizliği, etik riskler ve dijital bağımlılık gibi psikososyal tehditleri de beraberinde getirmektedir. Teknostres; bireysel düzeyde duygusal tükenme ve karar verme güçlüğü, aile düzeyinde iletişim kopukluğu ve iş-aile çatışması, toplumsal düzeyde ise sosyal izolasyon, dijital uçurum ve eşitsizlikler gibi çok katmanlı olumsuz sonuçlar doğurmaktadır. Bu derleme çalışması; dijitalleşme ve teknostresin birey, aile ve toplum üzerindeki psikososyal etkilerini çok boyutlu bir bakışla incelemeyi ve yapay zekâ temelli çözüm önerileri sunmayı amaçlamaktadır.

References

  • Acun F (2020) Dijital tarih ve dijital tarihçiliğin tarih yazımına etkisi üzerine. Tarihyazımı, 2:66-90.
  • Ariely D (2010) Akıldışı Ama Öngörülebilir (Çev. A Hekimoğlu Gül, F Şar). İstanbul, Optimist.
  • Ayyagari R, Grover V, Purvis R (2011) Technostress: technological antecedents and implications. MIS Q, 35:831-858.
  • Bako AT, Taylor HL, Wiley K Jr, Zheng J, Walter-McCabe H, Kasthurirathne SN et al. (2021) Using natural language processing to classify social work interventions. Am J Manag Care, 27:e24.
  • Baloğlu ÖÖ (2023) Teknolojik bir dönüşüm olarak dijitalleşme kavramı ve etkileri. Nevşehir Hacı Bektaş Veli Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi, 13:1189-1210.
  • Başcıllar M, Karataş M, Güre MDP (2022) Dijital çağda sosyal algoritmalar: yapay zekâ ve sosyal hizmet. Sosyal Politika Çalışmaları Dergisi, 22:539-565.
  • Bejaković P (2021) Living, working and COVID-19. Ekon Vjesn, 34:245-246.
  • Berg-Beckhoff G, Nielsen G, Ladekjær Larsen E (2017) Use of information communication technology and stress, burnout, and mental health in older, middle-aged, and younger workers – results from a systematic review. Int J Occup Environ Health, 23:160-171.
  • Bernburg M, Gebhardt JS, Groneberg DA, Mache S (2025) Impact of digitalization in dentistry on technostress, mental health, and job satisfaction: a quantitative study. Healthcare (Basel), 13:72.
  • Brennen JS, Kreiss D (2016) Digitalization. In The Wiley Blackwell-ICA International Encyclopedias of Communication: The International Encyclopedia of Communication Theory and Philosophy (Eds KB Jensen, RT Craig, J Pooley, EW Rothenbuhler):1-11. Hoboken, NJ, Wiley.
  • Brod C (1984) Technostress: The Human Cost of the Computer Revolution. London, Addison Wesley.
  • Brynjolfsson E, Hitt LM (2003) Computing productivity: firm-level evidence. Rev Econ Stat, 85:793-808.
  • Brynjolfsson E, McAfee A. (2014) The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. New York, WW Norton.
  • Burns J, Morey C (2008) Technology and young people's mental health and wellbeing. In Challenges in adolescent health: an Australian perspective (Eds DL Bennet, SJ Towns, EJ Elliot, J Merrick):61-71. Melbourne, International Academic Press.
  • Carlotto MS, Welter Wendt G, Jones AP (2017) Technostress, career commitment, satisfaction with life, and work-family interaction among workers in information and communication technologies. Actual Psicol, 31:91-102.
  • Castells M (1996) The Rise of the Network Society: The Information Age: Economy, Society and Culture (Vol. 1). Oxford, UK, Blackwell Publishers.
  • Chelsey N (2005) Blurring boundaries: linking technology use, spillover, individual distress, and family satisfaction. J Marriage Fam, 67:1237-1248.
  • Chiappetta M (2017) The technostress: definition, symptoms and risk prevention. Senses Sci, 4:358-361.
  • Coulthard B, Mallett J, Taylor B (2020) Better decisions for children with big data: can algorithms promote fairness, transparency and parental engagement? Societies, 10:97.
  • Cosma ML (2020) The digital divide, Jan van Dijk. Sociol Rom, 18:244-248.
  • Coyne SM, Stockdale L, Busby D, Iverson B, Grant DM (2011) I luv u: a descriptive study of the media use of individuals in romantic relationships. Fam Relat, 60:150-162.
  • Dilmen NE (2007) Yeni medya kavramı çerçevesinde internet günlükleri-bloglar ve gazeteciliğe yansımaları. Marmara İletişim Dergisi, 12:113-122.
  • Doronina OV (1995) Fear of computers. Russian Education and Society, 37(2):10-28.
  • Drucker SJ, Gumpert G (2012) The impact of digitalization on social interaction and public space. Open House International, 37:92-99.
  • Fors AC (2010) The beauty of the beast: the matter of meaning in digitalization. AI Soc, 25:27-33.
  • Gillingham P (2019) Can predictive algorithms assist decision-making in social work with children and families? Child Abuse Rev, 28:114-126.
  • Goldkind L (2021) Social work and artificial intelligence: into the matrix. Soc Work, 66:372-374.
  • Grządzielewska M (2021) Using machine learning in burnout prediction: a survey. Child Adolesc Soc Work J, 38:175-180.
  • Hodges C, Moore S, Lockee B, Trust T, Bond A (2020) The difference between emergency remote teaching and online learning. EDUCAUSE Review, 27:1-9.
  • Hoffman DL, Novak TP, Venkatesh A (2004) Has the internet become indispensable? Commun ACM, 47:37-42.
  • Jacobi C, Christensen M (2023) Functions, utilities, and limitations: a scoping study of decision support algorithms in social work. J Evid Based Soc Work, 20:323-341.
  • Kaplan A, Haenlein M (2019) Siri, siri, in my hand: who’s the fairest in the land? on the interpretations, illustrations, and implications of artificial intelligence. Bus Horiz, 62:15-25.
  • Karakaş S, Rukancı F, Anameriç H (2009) Belge Yönetimi ve Arşiv Terimleri Sözlüğü. Ankara, Devlet Arşivleri Genel Müdürlüğü.
  • Kiraz E (2021) Yeni medya ve aşırı bilişsel yüklenme. Abant Kültürel Araştırmalar Dergisi, 6:159-173.
  • Kum HC, Stewart CJ, Rose RA, Duncan DF (2015) Using big data for evidence based governance in child welfare. Child Youth Serv Rev, 58:127-136.
  • Kuss DJ, Griffiths MD (2011) Online social networking and addiction—a review of the psychological literature. Int J Environ Res Public Health, 8:3528-3552.
  • Li L, Wang M, Jian M (2025) Artificial intelligence-assisted case management in social work services: a systematic review. Res Soc Work Pract, doi: 10.1177/1049731525132953.
  • Linkov I, Trump BD, Poinsatte-Jones K, Florin MV (2018) Governance strategies for a sustainable digital world. Sustainability, 10:440.
  • López-Robles JR, Otegi-Olaso JR, Gómez IP, Cobo MJ (2019) 30 years of intelligence models in management and business: a bibliometric review. Int J Inf Manage, 48:22-38.
  • Marston S, Li Z, Bandyopadhyay S, Zhang J, Ghalsasi A (2011) Cloud computing—the business perspective. Decis Support Syst, 51:176-189.
  • Mazmanian MA, Orlikowski WJ, Yates J (2005) CrackBerries: The social implications of ubiquitous wireless e-mail devices. In Designing Ubiquitous Information Environments: Socio-Technical Issues and Challenges. IFIP — The International Federation for Information Processing, vol 185 (Eds C Sørensen, Y Yoo, K Lyytinen, JI DeGross):337-343. Boston, MA, Springer.
  • McDaniel BT, Bruess CJ (2013) Technoference: everyday intrusions and interruptions of technology in couple and family relationships. In: Family Communication in the Age of Digital and Social Media (Ed CJ Bruess):228-243. New York, Peter Lang.
  • Means B, Toyama Y, Murphy R, Bakia M, Jones K (2010) Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies. Washington DC, US Department of Education.
  • Molino M, Cortese CG, Ghislieri C (2020) The promotion of technology acceptance and work engagement in industry 4.0: from personal resources to information and training. Int J Environ Res Public Health, 17:2438.
  • Monat A, Lazarus RS (1991) Stress and Coping: an Anthology. New York, Columbia University Press.
  • Olcay S (2018) Sosyalleşmenin dijitalleşmesi olarak sosyal medya ve resimler arasında kaybolma bozukluğu: photolurking. Yeni Medya Elektronik Dergisi, 2:90-104.
  • Oztemel E, Gursev S (2020) Literature review of industry 4.0 and related technologies. J Intell Manuf, 31:127-182.
  • Pan Y (2016) Heading toward artificial intelligence 2.0. Engineering, 2:409-413.
  • Pew Research Center (2014) Pew Internet and American Life Project. Washington, DC, Pew Research Center.
  • Pew Research Center (2018) Internet/broadband fact sheet. https://www.pewresearch.org (Accessed 12.05.2025).
  • Ragu-Nathan TS, Tarafdar M, Ragu-Nathan BS, Tu Q (2008) The consequences of technostress for end users in organizations: conceptual development and empirical validation. Inf Syst Res, 19:417-433.
  • Reamer FG (2023) Artificial intelligence in social work: emerging ethical issues. International Journal of Social Work Values and Ethics, 20(2):52-71.
  • Romero-Brufau S, Wyatt KD, Boyum P, Mickelson M, Moore M, Cognetta-Rieke C (2020) A lesson in implementation: a pre-post study of providers’ experience with artificial intelligence-based clinical decision support. Int J Med Inform, 137:104072.
  • Rosen L, Samuel A (2015) Conquering digital distraction. Harv Bus Rev, 93:110-113.
  • Salanova M, Llorens S, Cifre E (2013) The dark side of technologies: technostress among users of information and communication technologies. Int J Psychol, 48:422-436.
  • Scaramuzzino G, Martinell Barfoed E (2023) Swedish social workers’ experiences of technostress. Nord Soc Work Res, 13:231-244.
  • Sosik JJ, Godshalk VM (2000) Leadership styles, mentoring functions received, and job-related stress: a conceptual model and preliminary study. J Organ Behav, 21:365-390.
  • Sweller J (1988) Cognitive load during problem solving: Effects on learning. Cogn Sci, 12:257–285.
  • Tammisalo K, Rotkirch A (2022) Effects of information and communication technology on the quality of family relationships: a systematic review. J Soc Pers Relat, 39:2724-2765.
  • Tarafdar M, Tu Q, Ragu-Nathan BS, Ragu-Nathan TS (2007) The impact of technostress on role stress and productivity. J Manag Inf Syst, 24:301-328.
  • Tarafdar M, Tu Q, Ragu-Nathan TS (2010) Impact of technostress on end-user satisfaction and performance. J Manag Inf Syst, 27:303–334.
  • Tu Q, Tarafdar M, Ragu-Nathan TS, Ragu-Nathan BS (2008) Improving end-user satisfaction through techno-stress prevention: some empirical evidences. AMCIS 2008 Proceedings, 236..
  • Tu Q, Wang K, Shu Q (2005) Computer-related technostress in China. Commun ACM, 48:77-81.
  • Wang K, Shu Q, Tu Q (2008) Technostress under different organizational environments: an empirical investigation. Comput Human Behav, 24:3002-3013.
  • Yalçın RC, Begenirbaş M (2021) Covid-19 pandemi sürecinde teknostres ve iş-aile çatışması. Çankırı Karatekin Üniversitesi Iktisadi Idari Bilimler Fakültesi Dergisi, 11:701-730.
  • Young K (2015) The evolution of internet addiction disorder. In: Internet Addiction: Neuroscientific Approaches and Therapeutical Interventions (Ed C Montag, M Reuter):3-17. Berlin, Springer:
  • Young KS (1998) Internet addiction: the emergence of a new clinical disorder. Cyberpsychol Behav, 1:237-244.
There are 67 citations in total.

Details

Primary Language English
Subjects Stress, Mental Health Services
Journal Section Review
Authors

Filiz Er 0000-0001-5065-3809

Early Pub Date November 27, 2025
Publication Date December 1, 2025
Submission Date June 9, 2025
Acceptance Date August 3, 2025
Published in Issue Year 2026 Volume: 18 Issue: 2

Cite

AMA Er F. Digitalization and Technostress: Psychosocial Effects and Artificial Intelligence Supported Intervention Opportunities. Psikiyatride Güncel Yaklaşımlar - Current Approaches in Psychiatry. November 2025;18(2):616-627. doi:10.18863/pgy.1716091

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Psikiyatride Güncel Yaklaşımlar - Current Approaches in Psychiatry is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.