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Definition, symptoms and risk of techno-stress: a systematic review

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Abstract

Purpose

Techno-stress (TS) is an emergent phenomenon closely related to the pervasive use of information and communication technologies in modern society. Despite numerous studies existing in the literature, only few comprehensive reviews have been performed, which has led to fragmented information about TS. This systematic review aimed to clarify the definition, the symptoms, and the risk factors of TS, focusing on the differences between work-related and non-work-related sources of TS.

Methods

A comprehensive literature review of three electronic databases was performed according to the PRISMA statement. ‘Technostress’ was used as the only keyword.

Results

In the qualitative synthesis, 105 studies were included: 84 cross-sectional studies, 8 experimental studies and 13 reviews (11 narrative and 2 systematic reviews). 70 studies (67%) addressed work-related TS, 26 (25%) addressed non-work-related TS, while 8 (8%) did not differentiate between work and non-work fields. The presence and level of TS among individuals was described in 38 studies (29%), whilst the techno-stressors, and the consequences of TS, were described in 53 studies (51%). The antecedents of TS were reported in 47 studies (45%), its moderators in 40 studies (38%), whilst its symptoms in only 11 studies (10%).

Conclusions

TS affects both professional and private life. It can determine a reduction in job and life satisfaction and in productivity, and is often associated to the occurrence of psychological and behavioral disorders. Efforts should be made to recognize situations with a high risk of causing TS, to prevent its progressive development in a prospective way using mainly cohort studies.

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References

  • Abdul-Gader AH, Kozar KA (1995) The impact of computer alienation on information technology investment decisions: an exploratory cross-national analysis. MIS Q 19(4):535–559

    Article  Google Scholar 

  • Ahmad UNU, Amin SM (2012) The dimensions of technostress among academic librarians. Procedia Soc Behav Sci 65:266–271

    Article  Google Scholar 

  • Ahmad UNU, Aminb SM, Ismailb WKW (2012) The relationship between technostress creators and organizational commitment among academic librarians. Procedia Soc Behav Sci 40:182–186

    Article  Google Scholar 

  • Ahmad UNU, Aminb SM, Ismailb WKW (2014) Moderating effect of technostress inhibitors on the relationship between technostress creators and organisational commitment. Sains Humanika 67(1):51–62

    Google Scholar 

  • Al-Fudail M, Mellar H (2008) Investigating teacher stress when using technology. Comput Educ 51:1103–1110

    Article  Google Scholar 

  • Al-Qallaf CL (2006) Librarians and technology in academic and research libraries in Kuwait: perceptions and effects. Libri 56(3):168–179

    Article  Google Scholar 

  • Arnetz BB, Wiholm C (1997) Technological stress: psychophysiological symptoms in modern offices. J Psychosom Res 43(1):35–42

    Article  CAS  Google Scholar 

  • Ayyagari R (2007) What and why of technostress: technology antecedents and implications. Dissertation, Clemson University

  • Ayyagary R. Grover V, Purvis R (2011) Technostress: technological antecedents and implications. MIS Q 35(4):831–858

    Article  Google Scholar 

  • Ballance CT, Rogers SU (1991) Psychology of computer use: XXIV. Computer related stress among technical college students. Psychol Rep 69:539–542

    Article  CAS  Google Scholar 

  • Bichteler J (1986) Human aspects of high-tech in special libraries. Spec Libr 77(3):121–128

    Google Scholar 

  • Bichteler J. Technostress in libraries: causes, effects and solutions. Electron Libr 1987; (5):282–287

  • Brod C (1982) Managing technostress: optimizing the use of computer technology. Pers J 61(10):753–757

    CAS  Google Scholar 

  • Brod C (1984) Technostress: the human cost of the computer revolution. Addison-Wesley, Reading

    Google Scholar 

  • Brooks S (2015) Does personal social media usage affect efficiency and well-being? Comput Hum Behav 46:26–37

    Article  Google Scholar 

  • Brooks S, Califf C (2016) Social media-induced technostress: its impact on the job performance of it professionals and the moderating role of job characteristics. Comput Netw 114:143–153

    Article  Google Scholar 

  • Brooks S, Schneider C, Wang X (2016) Technology addictions and technostress: an examination of Hong Kong and the US. In: Twenty-second Americas conference on information systems, pp 1–10

  • Brown R, Duck J, Jimmieson N (2014) E-mail in the workplace: the role of stress appraisals and normative response pressure in the relationship between e-mail stressors and employee strain. International Journal of Stress Management 21:325–347

    Article  Google Scholar 

  • Bucher E, Fieseler C, Suphan A (2013) The stress potential of social media in the workplace. Inform Commun Soc 16(10):1639–1667

    Article  Google Scholar 

  • Burke MS (2009) The incidence of technological stress among baccalaureate nurse educators using technology during course preparation and delivery. Nurse Educ Today 29:57–64

    Article  Google Scholar 

  • Califf CB, Todd C (2016) Rethinking technostress: a transactional approach through affordances. In: Twenty-second Americas conference on information systems, pp 1–10

  • Califf CB, Sarker S, Sarker S et al (2015) The bright and dark side of technostress: an empirical study of healthcare workers. In: Thirty sixth international conference on information systems, pp 1–13

  • Champion S (1988) Technostress: technology’s toll. Sch Libr J 35(3):48–51

    Google Scholar 

  • Chiappetta M (2017) The technostress: definition, symptoms and risk prevention. Senses Sci 4(1):358–361

    Google Scholar 

  • Choi SB, Lim MS (2016) Effects of social and technology overload on psychological well-being in young South Korean adults: the mediatory role of social network service addiction. Comput Hum Behav 61:245–254

    Article  Google Scholar 

  • Çoklar AN, Sahin YL (2011) Technostress levels of social network users based on ICTs in Turkey. Eur J Soc Sci 23(2):171–182

    Google Scholar 

  • D’Arcy J, Gupta A Tarafdar M et al (2014) Reflecting on the “dark side” of information technology use. Commun Assoc Inf Syst 35(5):109–118

    Google Scholar 

  • Des Jarlais DC, Lyles C, Crepaz N, TREND Group (2004) Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the trend statement. Am J Public Health (94):361–366

  • Di Frenna E, Tecnostress (2015) Le 10 cose da sapere per affrontare il rischio nel lavoro digitale e imparare a valutarlo. http://www.netdipendenzaonlus.it/landing-tecnostress/ebook-tecnostress.html. Accessed 30 Aug 2018

  • Ennis LA (2005) The evolution of technostress. Comput Libr 25:10–12

    Google Scholar 

  • Fieseler C, Grubenmann S, Meckel M et al (2014) The leadership dimension of coping with technostress. In: 47th Hawaii international conference on system science, pp 530–539

  • Fischer T, Riedl R (2015) The status quo of neurophysiology in organizational technostress research: a review of studies published from 1978 to 2015. In: Davis F, Riedl R, vom Brocke J, Léger PM, Randolph A (eds) Information systems and neuroscience. Lecture notes in information systems and organisation lecture notes in information systems and organisation, vol 10. Springer, Austria, pp 9–17

    Google Scholar 

  • Fischer T, Riedl R (2017) Technostress research: a nurturing ground for measurement pluralism? Commun Assoc Inf Syst 40(17):375–401

    Google Scholar 

  • Fuglseth AM, Sørebø Ø (2014) The effects of technostress within the context of employee use of ICT. Comput Hum Behav 40:161–170

    Article  Google Scholar 

  • Galluch PS, Grover V, Thatcher JB (2015) Interrupting the workplace: examining stressors in an information technology context. J Assoc Inf Syst 16(1):1–47

    Google Scholar 

  • Garbarino S, Costa G (2014) Transport and communications. In: Garbarino S, Nobili L, Costa G (eds) Sleepiness and human impact assessment. Springer, Milan, pp 152–157

    Chapter  Google Scholar 

  • Gaudioso F, Turel O, Galimberti C (2017) The mediating roles of strain facets and coping strategies in translating techno-stressors into adverse job outcomes. Comput Hum Behav 69:189–196

    Article  Google Scholar 

  • Haddara M, Hetlevikb T (2016) Investigating the effectiveness of traditional support structures & self-organizing entities 9 within the ERP shakedown phase. Procedia Comput Sci 100:507–51682012

    Article  Google Scholar 

  • Harris KJ, Ranida B, Harris RB et al (2015) Relationship between technology-overload and work family conflict. Comput Hum Behav 50:411–417

    Article  Google Scholar 

  • Herzog R, Àlvarez-Pasquin MJ, Dìaz C et al (2013) Are healthcare workers’ intentions to vaccinate related to their knowledge, beliefs and attitudes? A systematic review. BMC Public Health 19(13):154

    Article  Google Scholar 

  • Hirose H, Yamamoto Y, Ichikawa H (2012) The relation between education effect and individual characteristics of WBT teaching materials. Multimedia Technol 1(1):7–13

    Google Scholar 

  • Hsiao KL, Lee CH, Chiang HS, Wang JY (2016) Exploring the antecedents of technostress and compulsive mobile application usage: personality perspectives. In: Zhou J, Salvendy G (eds) Human aspects of IT for the aged population. Design for aging. ITAP 2016. Lecture notes in computer science, vol 9754. Springer, Cham, pp 320–328

    Google Scholar 

  • Hsiao KL, Shu Y, Huang TC (2017) Exploring the effect of compulsive social app usage on technostress and academic performance: perspectives from personality traits. Telemat Inform 34:679–690

    Article  Google Scholar 

  • Hudiburg RA (1989) Psychology of computer use: VII. Measuring technostress: computer-related stress. Psychol Rep 64(3;2):767–772

    Article  Google Scholar 

  • Hudiburg RA, Necessary JR (1996) Coping with computer-stress. J Educ Comput Res 15(2):113–124

    Article  Google Scholar 

  • Hudiburg RA, Pashaj I, Wolfe R (1999) A preliminary investigation of computer stress and the big five personality factors. Psychol Rep 85(2):473–480

    Article  CAS  Google Scholar 

  • Hung WH, Chang LM, Lin CH (2011) Managing the risk of overusing mobile phones in the working environment: a study of ubiquitous technostress. In: 15th PACIS

  • Hung WH, Chen K, Lin CP (2015) Does the proactive personality mitigate the adverse effect of technostress on productivity in the mobile environment? Telemat Inform 32:143–157

    Article  Google Scholar 

  • Imran M, Ramayah T, Kurnia S (2017) To use or not to use: modelling end user grumbling as user resistance in pre-implementation stage of enterprise resource planning system. Inf Syst 69:164–179

    Article  Google Scholar 

  • Italian Parliament (2007) D.Lgs 9 aprile 2008, n. 81. Attuazione dell’articolo 1 della legge 3 agosto 2007, n. 123, in materia di tutela della salute e della sicurezza nei luoghi di lavoro. http://www.gazzettaufficiale.it/eli/gu/2008/04/30/101/so/108/sg/pdf. Accessed 30 Aug 2018

  • Jadad AR, Moore RA, Carroll D et al (1996) Assessing the quality of reports of randomized clinical trials: is binding necessary? Control Clin Trials 1996(17):1–12

    Article  Google Scholar 

  • Jena RK (2015a) Technostress in ICT enabled collaborative learning environment: an empirical study among Indian academician. Comput Hum Behav 51:1116–1123

    Article  Google Scholar 

  • Jena RK (2015b) Compulsive use of smartphone and technostress: a study among Indian students. Int J Appl Bus Econ Res 13(1):353–362

    Google Scholar 

  • Jonušauskas S, Raisiene AG (2016) Exploring technostress: results of a large sample factor analysis. J Inf Organ Sci 40(1):67–82

    Google Scholar 

  • Joo YJ, Lim KY, Kim NH (2016) The effects of secondary teachers’ technostress on the intention to use technology in South Korea. Comput Educ 95:114–122

    Article  Google Scholar 

  • Kasuga N, Itoh K, Oishi S et al (2004) Study on relationship between technostress and antisocial behavior on computers. IEICE Trans Inf Syst E87-D(6):1461–1465

    Google Scholar 

  • Khan A, Rehman H, Rehman SU (2013) An empirical analysis of correlation between technostress and job satisfaction: a case of KPK, Pakistan. Pak J Libr Inf Sci 14:9–15

    Google Scholar 

  • Khuntia J, Tanniru M, Weiner J (2015) Juggling digitization and technostress: the case of alert fatigues in the patient care system implementation. Health Policy Technol 4:364–377

    Article  Google Scholar 

  • Kim HJ, Choong C, Lee CC et al (2015) An examination of work exhaustion in the mobile enterprise environment. Technol Forecast Soc Change 100:255–266

    Article  Google Scholar 

  • Koo C, Wati Y (2011) What factors do really influence the level of technostress in organizations? (An empirical study). Information 14:3647–3654

    Google Scholar 

  • Krishnan S (2017) Personality and espoused cultural differences in technostress creators. Comput Hum Behav 66:154–167

    Article  Google Scholar 

  • Kwanya T, Stilwell C, Underwood PG (2012) Technostress and technolust: coping mechanisms among academic librarians in Eastern and Southern Africa. In: Proceedings of the international conference of ICT management, pp 302–313

  • La Torre G, Backhaus I, Mannocci A (2015) Rating for narrative reviews: concept and development of the International Narrative Systematic Assessment tool. Senses Sci 2(1):31–35

    Google Scholar 

  • Lee J (2016) Does stress from cell phone use increase negative emotions at work? Soc Behav Personal 44(5):705–716

    Article  Google Scholar 

  • Lee SJ, Jin SH, Choi BJ (2012) The influence of technostress and antismart on continuous use of smartphones. In: Proceedings of the world congress on engineering and computer science, vol I, pp 24–26

  • Lee YK, Chang CT, Lin Y et al (2014) The dark side of smartphone usage: psychological traits, compulsive behavior and technostress. Comput Hum Behav 31:373–383

    Article  Google Scholar 

  • Lee SB, Lee SC, Suh YH (2016a) Technostress from mobile communication and its impact on quality of life and productivity. Total Qual Manag Bus Excell 27(7–8):775–790

    Google Scholar 

  • Lee YK, Chang CT, Cheng ZH et al (2016b) Helpful-stressful cycle? Psychological links between type of mobile phone user and stress. Behav Inf Technol 35(1):75–86

    Article  Google Scholar 

  • Lee AR, Son SM, Kim KK (2016c) Information and communication technology overload and social networking service fatigue: a stress perspective. Comput Hum Behav 55:51–61

    Article  Google Scholar 

  • Leung L, Zhang R (2017) Mapping ICT use at home and telecommuting practices: a perspective from work/family border theory. Telemat Inform 34(1):385–396

    Article  Google Scholar 

  • Luqman A, Cao X, Ali A (2017) Empirical investigation of Facebook discontinues usage intentions based on SOR paradigm. Comput Hum Behav 70:544–555

    Article  Google Scholar 

  • Lyon WS (1985) Analytically speaking. J Radioanal Nucl Chem 94(5):287–290

    Article  Google Scholar 

  • Maier C, Laumer S, Eckhardt A et al (2012) Conceptualization, operationalization, and empirical evidence for an individual’s dispositional resistance to IT—induced changes. In: AIS electronic library, AMCIS proceedings, pp 1–11

  • Maier C, Laumer S, Eckhardt A et al (2015a) Giving too much social support: social overload on social networking sites. Eur J Inf Syst 24(5):447–464

    Article  Google Scholar 

  • Maier C, Laumer S, Weinert C et al (2015b) The effects of technostress and switching stress on discontinued use of social networking services: a study of Facebook use. Inf Syst J 25:275–308

    Article  Google Scholar 

  • Marcoulides GA (1989) Measuring computer anxiety: the computer anxiety scale. Educ Psychol Meas 49(3):733–739

    Article  Google Scholar 

  • Mark GJ, Voida S, Cardello AV (2011) A pace not dictated by electrons: an empirical study of work without email. In: Proceedings of the SIGCHI conference on human factors in computing systems, pp 555–564

  • Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group (2010) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Int J Surg 8(5):336–341

    Article  Google Scholar 

  • Nimrod G (2017) Technostress: measuring a new threat to well-being in later life. Aging Ment Health 31:1–8

    Google Scholar 

  • Ninaus K, Diehl S, Terlutter R et al (2015) Benefits and stressors perceived effects of ICT use on employee health and work stress: an exploratory study from Austria and Hong Kong. Int J Qual Stud Health Well Being 10:1

    Article  Google Scholar 

  • Ortbach K, Köffer S, Müller CPF, Niehaves B (2013) How IT consumerization affects the stress level at work: a public sector case study. In: PACIS 2013 proceedings, p 231

  • Park HJ (2016) The influence of information security technostress on the job satisfaction of employees. J Bus Retail Manag Res 11(1):66–75

    Google Scholar 

  • Perciavalle M, Prunesti A (2016) Offline è bello. Franco Angeli, Milano

    Google Scholar 

  • Poole CE, Denny E (2001) Technological change in the workplace: a statewide survey of community college library and learning resources personnel. Coll Res Libr 62(6):503–515

    Article  Google Scholar 

  • Ragu-Nathan TS, Tarafdar M, Ragu-Nathan BS (2008) The consequences of technostress for end users in organizations: conceptual development and empirical validation. Inf Syst Res 19(4):417–433

    Article  Google Scholar 

  • Raisiene AG, Jonusauskas S (2015) Effect of networked workplace on employees’ work-life balance. Difference between population of managers and staff. In: Drivers for progress in the global society: 3rd European interdisciplinary forum

  • Ravindran T, Chua AYK, Goh DH (2014) Antecedents and effects of social network fatigue. J Assoc Inf Sci Technol 65(11):2306–2320

    Article  Google Scholar 

  • Reinecke L, Aufenanger S, Beute, lME et al (2017) Digital stress over the life span: the effects of communication load and internet multitasking on perceived stress and psychological health impairments in a german probability sample. Media Psychol 20(1):90–115

    Article  Google Scholar 

  • Reinke K, Tarafdar M, Gerlach G et al (2016) ICT-based communication events as triggers of stress: a mixed methods study. In: Thirty seventh international conference on information systems, 2016, pp 1–12

  • Riedl R (2013) On the biology of technostress: literature review and research agenda. DATABASE Adv Inf Syst 44(1):18–55

    Article  Google Scholar 

  • Riedl R, Kindermann H, Auinger A et al (2012) Technostress from a neurobiological perspective: system breakdown increases the stress hormone cortisol in computer users. Bus Inf Syst Eng 2:61–69

    Article  Google Scholar 

  • Riedl R, Kindermann H, Auinger A et al (2013) Computer breakdown as a stress factor during task completion under time pressure: identifying gender differences based on skin conductance. Adv Hum Comput Interaction 2013:1–8

    Article  Google Scholar 

  • Romero LM, Platts SH, Schoech SJ et al (2015) Understanding stress in the healthy animal—potential paths for progress. Stress 18(5):491–497

    Article  Google Scholar 

  • Rose PM, Stoklosa K, Gray SA (1998) A focus group approach to assessing technostress at the reference desk. Ref User Serv Q 37(4):311–317

    Google Scholar 

  • Saganuwan MU (2015) Conceptual framework: AIS technostress and its effect on professionals’ job outcomes. Asian Soc Sci 11(5)

  • Sahin YL, Çoklar AN (2009) Social networking users’ views on technology and the determination of technostress levels. Procedia Soc Behav Sci 1:1437–1442

    Article  Google Scholar 

  • Salanova M, Llorens S, Cifre E (2013) The dark side of technologies: technostress among users of information and communication technologies. Int J Psychol 48(3):422–436

    Article  Google Scholar 

  • Sami LK, Pangannaiah NB (2006) A literature survey on the effect of information technology on library users. Libr Rev 55(7):429–439

    Article  Google Scholar 

  • Schellhammer S, Haines R (2013) Towards contextualizing stressors in technostress research. In: 34th International conference on information systems, pp 1–16

  • Sellberg C, Susi T (2014) Technostress in the office: a distributed cognition perspective on human-technology interaction. Cogn Technol Work 16:187–201

    Article  Google Scholar 

  • Shea BJ, Grimshaw JM, Wells GA et al (2007) Development of AMSTAR: a measurement tool to assess the methodological quality of systematic reviews. BMC Med Res Methodol 7:7–10

    Article  Google Scholar 

  • Shu Q, Tu Q, Wang K (2011) The impact of computer self-efficacy and technology dependence on computer-related technostress: a social cognitive theory perspective. Int J Hum Comput Interact 27(10):923–939

    Article  Google Scholar 

  • Srivastava SC, Chandra S, Shirish A (2015) Technostress creators and job outcomes: theorising the moderating influence of personality traits. Inf Syst J 25:355–401

    Article  Google Scholar 

  • Stich JF, Tarafdar M, Copper CL et al (2017) Workplace stress from actual and desired computer-mediated communication use: a multi-method study. New Technol Work Employ 32:84–100

    Article  Google Scholar 

  • Suh A, Lee J (2017) Understanding teleworkers’ technostress and its influence on job satisfaction. Internet Res 27(1):140–159

    Article  Google Scholar 

  • Tacy JW (2016) Technostress: a concept analysis. Online J Nurs Inform 20(2)

  • Tacy JW, Northam S, Wieck L (2016) Understanding the effects of technology acceptance in nursing faculty: a hierarchical regression. Online J Nurs Inform 20(2)

  • Tak S. Park S (2016) A study of the connected smart worker’s techno-stress. Procedia Comput Sci 91:725–733

  • Tams S (2015) Challenges in technostress research: guiding future work. In: Twenty-first Americas conference on information systems, pp 1–7

  • Tams S, Hill K, de Guinea AO et al (2014) NeuroIS alternative or complement to existing methods? Illustrating the holistic effects of neuroscience and self-reported data in the context of technostress research. J Assoc Inf Syst 15:723–753

    Google Scholar 

  • Tarafdar M, Tu Q, Ragu-Nathan BS et al (2007) The impact of technostress on role stress and productivity. J Manag Inf Syst 24(1):301–328

    Article  Google Scholar 

  • Tarafdar M, Tu Q, Ragu-Nathan T (2011) Impact of technostress on end-user satisfaction and performance. J Manag Inf Syst 27(3):303–334

    Article  Google Scholar 

  • Tarafdar M, Pullins EB, Ragu-Nathan TS (2015a) Technostress: negative effect on performance and possible mitigations. Inf Syst J 25:103–132

    Article  Google Scholar 

  • Tarafdar M, D’Arcy J, Turel O et al (2015b) The dark side of information technology. MIT Sloan Manag Rev 56(2):61–70

    Google Scholar 

  • Tarafdar M, Gupta A, Turel O (2015c) Special issue on “Dark side of information technology use”: an introduction and a framework for research. Inf Syst J 25:315–317 (forthcoming)

    Article  Google Scholar 

  • Tu Q, Wang K, Shu Q (2005) Computer-related technostress in China, Commun ACM 48(4):77–81

    Article  Google Scholar 

  • Waizenegger L, Remus U, Maier R (2016) The social media trap—how knowledge workers learn to deal with constant social connectivity. In: 49th Hawaii international conference on system sciences, pp 2115–2124

  • Wang K, Shu Q (2006) The moderating impact of perceived organizational support on the relationship between technostress and role stress. In: 19th International workshop on database and expert systems applications, pp 420–424

  • Wang K, Shu Q, Tu Q (2005) Empirical study of coping strategies for computer-related technostress of Chinese employees. Tsinghua Sci Technol 10(S1):753–760

    Google Scholar 

  • Wang K, Shu Q, Tu Q (2008) Technostress under different organizational environments: an empirical investigation. Comput Hum Behav 24:3002–3013

    Article  Google Scholar 

  • Weil MM, Rosen LD (1997) Technostress: coping with technology @work @home @play. Wiley, New York

    Google Scholar 

  • Weinert C, Maier C, Laumer S et al (2014) Does teleworking negatively influence IT professionals? An empirical analysis of IT personnel’s telework-enabled stress. In: Proceedings of the 52nd ACM conference on computers and people research, pp 139–147

  • Wulansari NA, Ranihusna D, Witiastuti RS (2015) Reduction effect of technostress with role of perceived organizational support. IJABER 13(7):5159–5171

    Google Scholar 

  • Yan Z, Guo X, Lee MKO et al (2013) A conceptual model of technology features and technostress in telemedicine communication. Inf Technol People 26(3):283–297

    Article  Google Scholar 

  • Yao J, Cao X (2017) The balancing mechanism of social networking over use and rational usage. Comput Hum Behav 75:415–422

    Article  Google Scholar 

  • Young KS (2017) The evolution of Internet addiction. Addict Behav 64:229–230

    Article  Google Scholar 

  • Yu JC, Kuo LH, Chen LM et al (2009) Assessing and managing mobile technostress. WSEAS Trans Commun 8(4):416–425

    Google Scholar 

  • Yun H, Kettinger WJ, Choong C et al (2012) A new open door: the smartphone’s impact on work to life conflict, stress, and resistance. Int J Electron Commer 16(4):121–152

    Article  Google Scholar 

  • Zhang S, Zhao L, Lu Y et al (2016) Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network. Inf Manag 53:904–914

    Article  Google Scholar 

  • Zheng X, Lee MKO (2016) Excessive use of mobile social networking sites: negative consequences on individuals. Comput Hum Behav 65:65–76

    Article  Google Scholar 

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La Torre, G., Esposito, A., Sciarra, I. et al. Definition, symptoms and risk of techno-stress: a systematic review. Int Arch Occup Environ Health 92, 13–35 (2019). https://doi.org/10.1007/s00420-018-1352-1

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