We present an interdisciplinary exploration of technostress in knowledge-intensive organizations, including both business and healthcare settings, and its impact on a healthy working life. Technostress, a contemporary form of stress induced by information and communication technology, is associated with reduced job satisfaction, diminished organizational commitment, and adverse patient care outcomes. This article aims to construct an innovative framework, called The Integrated Technostress Resilience Framework, designed to mitigate technostress and promote continuous learning within dynamic organizational contexts. In this perspective article we incorporate a socio-technical systems approach to emphasize the complex interplay between technological and social factors in organizational settings. The proposed framework is expected to provide valuable insights into the role of transparency in digital technology utilization, with the aim of mitigating technostress. Furthermore, it seeks to extend information systems theory, particularly the Technology Acceptance Model, by offering a more nuanced understanding of technology adoption and use. Our conclusion includes considerations for the design and implementation of information systems aimed at fostering resilience and adaptability in organizations undergoing rapid technological change.

Adam, M. T. P., Gimpel, H., Maedche, A., Riedl, R. (2014). Stress-sensitive adaptive enterprise systems: Theoretical foundations and design blueprint. Gmunden Retreat on NeuroIS, 1–3.

Alvesson, M. (2004). Management of knowledge-intensive companies. Oxford University Press.

Atanasoff, L., Venable, M. A. (2017). Technostress: Implications for adults in the workforce. The Career Development Quarterly, 65(4), 326–338. https://doi.org/10.1002/cdq.12111

Ayyagari, R., Grover, V., Purvis, R. (2011). Technostress: Technological antecedents and implications. Management Information Systems Quarterly, 35(4), 831–858.

Bahri, S., Fauzi, A., Ahmad, N. S. (2019). Red Alert: The impacts of mobile instant messaging use in managing work on communication overload and personal well-being. Pacific Asia Conference on Information Systems, PACIS 2019 Proceedings. 84. https://aisel.aisnet.org/pacis2019/84

Barayev, E., Shental, O., Yaari, D., et al. (2021). WhatsApp tele-medicine–usage patterns and physicians views on the platform. Israel Journal of Health Policy Research, 10(1), 34. https://doi.org/10.1186/s13584-021-00468-8

Baudin, K. (2020). Assistive technology and welfare technology explorations - Aspects of perception, utilisation and decision-making [PhD thesis]. Mälardalens University.

Benbasat, I., Barki, H. (2007). Quo vadis, TAM? Journal of the Association for Information Systems, 8(4), 211–218. https://doi.org/10.17705/1jais.00126

Berglund, M., Karltun, J. (2007). Human, technological and organizational aspects influencing the production scheduling process. International Journal of Production Economics, 110(1–2), 160–174. https://doi.org/10.1016/j.ijpe.2007.02.024

Björkman, A., Salzmann-Erikson, M. (2019). Giving advice to callers with mental illness: Adaptation among telenurses at Swedish Healthcare Direct. International Journal of Qualitative Studies on Health and Well-Being, 14(1), 1–9. https://doi.org/10.1080/17482631.2019.1633174

Blix, M., Levay, C. (2018). Digitalization and health care—A report to the Swedish government’s expert group on public economics (6; pp. 1–122). Available online: https://eso.expertgrupp.se/wp-content/uploads/2018/12/Digitalization-and-health-care-2018_6-English-version.pdf (accessed on 20 August 2024).

Bockshecker, A., Hackstein, S., Baumöl, U. (2018). Systematization of the term digital transformation and its phenomena from a socio-technical perspective–A literature review. In: Proceedings of the 26th European Conference on Information Systems (ECIS); 23–28 June 2018; Portsmouth, UK. p. 43.

Bondanini, G., Giorgi, G., Ariza-Montes, A., et al. (2020). Technostress dark side of technology in the workplace: A scientometric analysis. International Journal of Environmental Research and Public Health, 17(21), 1–25. https://doi.org/10.3390/ijerph17218013

Bordi, L., Okkonen, J., Mäkiniemi, J.-P., Heikkilä-Tammi, K. (2018). Communication in the digital work environment: Implications for wellbeing at work. Nordic Journal of Working Life Studies, 8(S3), 29–48. https://doi.org/10.18291/njwls.v8iS3.105275

Božič, K., Dimovski, V. (2019). Business intelligence and analytics for value creation: The role of absorptive capacity. International Journal of Information Management, 46, 93–103. https://doi.org/10.1016/J.IJINFOMGT.2018.11.020

Bray, J., Kelly, E., Hammer, L., et al. (2013). An integrative, multilevel, and transdisciplinary research approach to challenges of work, family, and health. RTI Press. pp. 1–41.

Brennen, J. S., Kreiss, D. (2016). Digitalization. The International Encyclopedia of Communication Theory and Philosophy. Wiley Press. pp. 1–11. https://doi.org/10.1002/9781118766804.wbiect111

Cadieux, N., Fournier, P.-L., Cadieux, J., Gingues, M. (2021). New techno-stressors among knowledge professionals: The contribution of Artificial Intelligence and websites that misinform clients. International Journal of Electronic Commerce, 25(2), 136–153. https://doi.org/10.1080/10864415.2021.1887695

Califf, C. B., Sarker, S., Sarker, S. (2020). Are healthcare workers stressed by information technology? LSE Business Review, 2(22), 1–3.

Camarena, L., Fusi, F. (2022). Always connected: Technology use increases technostress among public managers. The American Review of Public Administration, 52(2), 154–168. https://doi.org/10.1177/02750740211050387

Cancela, J., Charlafti, I., Colloud, S., Wu, C. (2021). Chapter 2 - Digital health in the era of personalized healthcare: opportunities and challenges for bringing research and patient care to a new level. Elsevier. pp. 7–31. https://doi.org/10.1016/B978-0-12-820077-3.00002-X

Carayon, P., Hoonakker, P. (2019). Human factors and usability for health information technology: Old and new challenges. Yearbook of Medical Informatics, 28(1), 71–77. https://doi.org/10.1055/S-0039-1677907

Carroll, M. M., Hjalmarsson, J. M., Levina, A., et al. (2015). The sharing economy: Friend or foe? In: Proceedings of the Thirty Sixth International Conference on Information Systems; 13–16 December 2015; Fort Worth, TX, USA. pp. 1–8.

Checkland, P. (1981). Systems thinking, systems practice: A 30-year retrospective. J. Wiley & Sons Publishing.

Cresswell, K. M., Bates, D. W., Sheikh, A. (2013). Ten key considerations for the successful implementation and adoption of large-scale health information technology. Journal of the American Medical Informatics Association, 20(e1), e9–e13. https://doi.org/10.1136/amiajnl-2013-001684

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008

Davis, F. D., Bagozzi, R. P., Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 8(35), 982–1003. https://doi.org/10.1287/mnsc.35.8.982

Deng, X., Christodoulidou, N. (2015). Understanding user values of wearable computing. Available online: https://aisel.aisnet.org/icis2015/proceedings/HCI/6/ (accessed on 20 August 2024).

Ekholm, A. (2017). The human & the machine an essay on AI and the welfare system. The Institute for Future Studies (Sweden). Available online: https://www.iffs.se/media/22320/mom_webb.pdf (accessed on 20 August 2024).

Eklund, J. (2003). An extended framework for humans, technology nd organizations in interaction. In: Luczak H., Zink K. J. (editors). Human factors in organizational design and management. IEA Press. pp. 47–54.

Eriksson, H., Salzmann-Erikson, M. (2013). Cyber nursing—Health ‘experts’ approaches in the post-modern era of virtual performances: A nethnography study. International Journal of Nursing Studies, 50(3), 335–344. https://doi.org/10.1016/J.IJNURSTU.2012.09.014

Eriksson. (2017). For a Sustainable Digitalized Sweden–A Digitalization Strategy (Sweden). Available online: https://www.regeringen.se/contentassets/c9bc0cd3a4374f9388e714ae7fb1ec1d/for-ett-hallbart-digitaliserat-sverige-en-digitaliseringsstrategi.pdf (accessed on 20 August 2024).

Fawcett, J. (1984). The metaparadigm of nursing: present status and future refinements. Image: The Journal of Nursing Scholarship, 16(3), 84–87. https://doi.org/10.1111/j.1547-5069.1984.tb01393.x

Fernández-Fernández, M., Martínez-Navalón, J.-G., Gelashvili, V., Román, C. P. (2023). The impact of teleworking technostress on satisfaction, anxiety and performance. Heliyon, 9(6), e17201. https://doi.org/10.1016/j.heliyon.2023.e17201

Fremont, V. H. J., Frick, J. E., Åge, L. J., Osarenkhoe, A. (2019). Interaction through boundary objects: Controversy and friction within digitalization. Marketing Intelligence and Planning, 37(1), 111–124. https://doi.org/10.1108/MIP-04-2018-0135

Frennert, S. (2019). Lost in digitalization? Municipality employment of welfare technologies. Disability and Rehabilitation: Assistive Technology, 14(6), 635–642. https://doi.org/10.1080/17483107.2018.1496362

Galinsky, E., Matos, K. (2011). The future of work-life fit. Organizational Dynamics, 40(4), 267–280. https://doi.org/10.1016/j.orgdyn.2011.07.004

Gao, L., Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211–231. https://doi.org/10.1108/APJML-06-2013-0061

Gobble, M. A. M. (2018). Digitalization, digitization, and innovation. Research-Technology Management, 61(4), 56–59. https://doi.org/10.1080/08956308.2018.1471280

Harunavamwe, M., Ward, C. (2022). The influence of technostress, work–family conflict, and perceived organisational support on workplace flourishing amidst COVID-19. Frontiers in Psychology, 13, 921211. https://doi.org/10.3389/fpsyg.2022.921211

Henriette, E., Feke, M., Boughzala, I. (2015). The shape of digital transformation: A systematic literature review. Available online: https://aisel.aisnet.org/mcis2015/10 (accessed on 20 August 2024).

Heponiemi, T., Gluschkoff, K., Vehko, T., et al. (2021). Electronic health record implementations and insufficient training endanger nurses’ well-being: cross-sectional survey study. Journal of Medical Internet Research, 23(12), e27096. https://doi.org/10.2196/27096

Hung, P., Granger, M., Boghossian, N., et al. (2023). Dual barriers: Examining digital access and travel burdens to hospital maternity care access in the united states, 2020. The Milbank Quarterly. https://doi.org/10.1111/1468-0009.12668

Kaihlanen, A. M., Gluschkoff, K., Laukka, E., Heponiemi, T. (2021). The information system stress, informatics competence and well-being of newly graduated and experienced nurses: A cross-sectional study. BMC Health Services Research, 21(1), 1–8.

Karatas, M., Eriskin, L., Deveci, M., et al. (2022). Big Data for healthcare industry 4.0: Applications, challenges and future perspectives. Expert Systems with Applications, 200, 116912. https://doi.org/10.1016/j.eswa.2022.116912

Karltun, A. (2011). Developing HTO system’s thinking for organizational and technological change (4–6 April). Available online: https://www.researchgate.net/profile/Anette-Karltun/publication/331839930_Developing_HTO_system’s_thinking_for_organizational_and_technological_change_2011/links/5c8fad9145851564fae639a1/Developing-HTO-systems-thinking-for-organizational-and-technological-change-2011.pdf (accessed on 20 August 2024).

Khlaif, Z. N., Sanmugam, M., Hattab, M. K., et al. (2023). Mobile technology features and technostress in mandatory online teaching during the COVID-19 crisis. Heliyon, 9(8), e19069. https://doi.org/10.1016/j.heliyon.2023.e19069

Konttila, J., Siira, H., Kyngäs, H., et al. (2019). Healthcare professionals’ competence in digitalisation: A systematic review. Journal of Clinical Nursing, 28(5–6), 745–761. https://doi.org/10.1111/JOCN.14710

Kumar, S., Biswas, B., Bhatia, M. S., Dora, M. (2021). Antecedents for enhanced level of cyber-security in organisations. Journal of Enterprise Information Management, 34(6), 1597–1629. https://doi.org/10.1108/JEIM-06-2020-0240

Kusairi, S., Trapsila, A. P., Muhamad, S., Abdul Razak, N. (2023). Conceptual framework of information communication technology and local value (Ugahari) in work-life balance. Community, Work & Family, 1–22. https://doi.org/10.1080/13668803.2023.2235071

Leitch, S., Warren, M. J. (2010). ETHICS: The past, present and future of socio-technical systems design. In: History of Computing. Learning from the Past. WCC. pp. 189–197.

Malik, N., Tripathi, S. N., Kar, A. K., Gupta, S. (2021). Impact of artificial intelligence on employees working in industry 4.0 led organizations. International Journal of Manpower, 43(2), 334–354. https://doi.org/10.1108/IJM-03-2021-0173

Mehmood, T., Naeem, A., Arshad, J. (2023). The impact of technology-induced role overload and technology induced role ambiguity on job performance: A mediating role of technostress. Global Economics Review, VIII(I), 127–137. https://doi.org/10.31703/ger.2023(VIII-I).12

Mills, J. (2019). Digital health technology in palliative care: Friend or foe? Progress in Palliative Care, 27(4), 145–146. https://doi.org/10.1080/09699260.2019.1650420

Mitchell, M., Kan, L. (2019). Digital technology and the future of health systems. Health Systems & Reform, 5(2), 113–120. https://doi.org/10.1080/23288604.2019.1583040

Möller, K., Rajala, R., Westerlund, M. (2008). Service innovation myopia? A new recipe for client-provider value creation. California Management Review, 50(3), 31–48. https://doi.org/10.2307/41166444

Moore, E., & Tolley, C. (2020). A systematic review of the impact of health information technology on nurses’ time. Journal of American Medical Information Association, 27(5), 798–807.

Morakanyane, R., Grace, A. A., O’Reilly, P. (2017). Conceptualizing digital transformation in business organizations: A systematic review of literature. 21. https://aisel.aisnet.org/bled2017/21/ (accessed on 20 August 2024).

Mutlu, M. D. (2020). Human Resource Management in Knowledge Intensive Firms. In: Turkmenoglu, M. A., Cicek, B. (editors), Contemporary Global Issues in Human Resource Management, Emerald Publishing Limited. pp. 107–127. https://doi.org/10.1108/978-1-80043-392-220201010

Nastjuk, I., Hanelt, A., Kolbe, L. M. (2016). Too much of a good thing? An experimental investigation of the impact of digital technology-enabled business models on individual stress and future adoption of sustainable services. Available online: https://researchers.mq.edu.au/en/publications/too-much-of-a-good-thing-an-experimental-investigation-of-the-imp (accessed on 20 August 2024).

Neely, P. R. (2014). The impact and implementation of e-commerce in government & law enforcement. Journal of Management Policy & Practice, 15(1), 92–103.

Nilsen, E. R., Dugstad, J., Eide, H., et al. (2016). Exploring resistance to implementation of welfare technology in municipal healthcare services—A longitudinal case study. BMC Health Services Research, 16(1), 1–14. https://doi.org/10.1186/S12913-016-1913-5

Nisafani, A. S., Kiely, G., Mahony, C. (2020). Workers’ technostress: A review of its causes, strains, inhibitors, and impacts. Journal of Decision Systems, 29(sup1), 243–258. https://doi.org/10.1080/12460125.2020.1796286

Nolimo Solman, K. (2002). Analysis of interaction quality in human–machine systems: Applications for forklifts. Applied Ergonomics, 33(2), 155–166. https://doi.org/10.1016/S0003-6870(01)00052-7

Olsson, A., Thunborg, C., Björkman, A., et al. (2020). A scoping review of complexity science in nursing. Journal of Advanced Nursing. https://doi.org/10.1111/jan.14382

Ooms, W., Piepenbrink, R. (2021). Open innovation for wicked problems: Using proximity to overcome barriers. California Management Review, 63(2), 62–100. https://doi.org/10.1177/0008125620968636

Osarenkhoe, A., Fjellström, D. (2021). The oxymoron of digitalization: A resource-based perspective. Journal of Information Technology Research, 14(4), 122–138. https://doi.org/10.4018/JITR.20211001.oa1

Platt, J. E., Raj, M., Wienroth, M. (2020). An analysis of the learning health system in its first decade in practice: Scoping review. Journal of Medical Internet Research, 22(3), e17026. https://doi.org/10.2196/17026

Porras, I. J., Roberston, P. J. (1992). Organizational development: Theory, practice, research. In: Dunnette, M. D., Hough, L. M. (editors). Handbook of Industrial and Organizational Psychology, Consulting Psychologists Press. pp. 719–822.

Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19(4), 417–433. https://doi.org/10.1287/ISRE.1070.0165

Rahimi, B., Nadri, H., Afshar, H. L., Timpka, T. (2018). A systematic review of the technology acceptance model in health informatics. Applied Clinical Informatics, 9(3), 604–634. https://doi.org/10.1055/S-0038-1668091

Rai, B. K. (2022). PcBEHR: Patient-controlled blockchain enabled electronic health records for healthcare 4.0. Health Services and Outcomes Research Methodology, 23, 80–102. https://doi.org/10.1007/s10742-022-00279-7

Rantanen, T., Gluschkoff, K., Silvennoinen, P., Heponiemi, T. (2021). The associations between mental health problems and attitudes toward web-based health and social care services: Evidence from a finnish population-based study, Journal of Medical Internet Research, 23(9), e28066. https://doi.org/10.2196/28066

Rezagholi, M. (2016a). Differential socio-economic effects of work environmental risk factors. Journal of Health & Medical Economics, 2, 1–8.

Rezagholi, M. (2016b). Economic decisions on proposed work environmental studies – A theory for cost and value of information. Science Journal of Public Health, 4(1), 11. https://doi.org/10.11648/j.sjph.20160401.12

Rezagholi, M. (2018). Marginal socio-economic effects of an employer’s efforts to improve the work environment. Annals of Occupational and Environmental Medicine, 30(1), 1. https://doi.org/10.1186/s40557-018-0212-5

Rezagholi, M. (2019). Demands for multidimensional information on the work environment: A methodological framework for regular studies. Work, 63(1), 9–20. https://doi.org/10.3233/WOR-192903

Rezagholi, M., Bantekas, A. (2015). Making economic social decisions for improving occupational health – A predictive cost-benefit analysis. Occupational Medicine & Health Affairs, 03(06). https://doi.org/10.4172/2329-6879.1000225

Ritter, T., Pedersen, C. L. (2020). Digitization capability and the digitalization of business models in business-to-business firms: Past, present, and future. Industrial Marketing Management, 86, 180–190. https://doi.org/10.1016/j.indmarman.2019.11.019

Robbins, S. P. (1990). Organization Theory: Structure, Design, and Applications, 3rd ed. Prentice-Hall.

Salzmann-Erikson, M., Eriksson, H. (2017). Letter to the Editor: Prosperity of nursing care robots: An imperative for the development of new infrastructure and competence for health professions in geriatric care. Journal of Nursing Management, 25(6). https://doi.org/10.1111/jonm.12487

Salzmann-Erikson, M., Eriksson, H. (2018). Absorbability, applicability and availability in nursing and care robots: A thematic analysis of Twitter postings. Telematics and Informatics. https://doi.org/10.1016/j.tele.2018.04.001

Sarabadani, J., Compeau, D., Carter, M. (2020). An investigation of IT users’ emotional responses to technostress creators. Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2020.748

Scaramuzzino, G., Barfoed, E. M. (2021). Swedish social workers’ experiences of technostress. Nordic Social Work Research, 13(2), 231–244. https://doi.org/10.1080/2156857X.2021.1951335

Schmidt, L., Pröpper, M. (2017). Transdisciplinarity as a real-world challenge: A case study on a North–South collaboration. Sustainability Science, 12(3), 365–379. https://doi.org/10.1007/S11625-017-0430-8

Shanafelt, T. D., Hasan, O., Dyrbye, L. N., et al. (2015). Changes in burnout and satisfaction with work-life balance in physicians and the general US working population between 2011 and 2014. Mayo Clinic Proceedings, 90(12), 1600–1613. https://doi.org/10.1016/j.mayocp.2015.08.023

Shen, B., Kuang, Y. (2022). Assessing the relationship between technostress and knowledge hiding—A moderated mediation model. Data and Information Management, 6(1), 100002. https://doi.org/10.1016/j.dim.2022.100002

Shnurenko, I., Murovana, T., Kushchu, I. (2022). Artificial Intelligence: Media and information literacy, human rights and freedom of expression. UNESCO IITE.

Smith, M. (2011). Philosophical and theoretical perspective related to complexity science in nursing. In: Davidson, A., Ray, M., Turkel, M. (editors). Nursing, caring, and complexity science: For human-environment well-being. Springer Publishing. pp. 1–20.

Song, L., Ma, Z., Sun, J. (2023). The influence of technostress, learning goal orientation, and perceived team learning climate on intra-team knowledge sharing and innovative practices among ict-enabled team members. Scientometrics, 128(1), 115–136. https://doi.org/10.1007/s11192-022-04568-3

Stich, J. F., Tarafdar, M., Cooper, C. L., Stacey, P. (2017). Workplace stress from actual and desired computer-mediated communication use: A multi-method study. New Technology, Work and Employment, 32(1), 84–100. https://doi.org/10.1111/NTWE.12079

Tarafdar, M., Singh, R., Anekal, P. (2013). Impact of ICT-enabled product and process innovations at the bottom of the pyramid: A market separations perspective. Journal of Information Technology, 28(4), 279–295. https://doi.org/10.1057/jit.2013.21

Tarafdar, M., Tu, Q., Ragu-Nathan, T. S. (2010). Impact of technostress on end-user satisfaction and performance. Journal of Management Information Systems, 27(3), 303–334. https://doi.org/10.2753/MIS0742-1222270311

Thielmann, B., Schmidt, S., Böckelmann, I. (2023). Stress experience by information and communication technologies among nurses in outpatient care—A qualitative interview study (German). Pflege, 37(3), 149–157. https://doi.org/10.1024/1012-5302/a000950

Toniolo-Barrios, M., Pitt, L. (2021). Mindfulness and the challenges of working from home in times of crisis. Business Horizons, 64(2), 189–197. https://doi.org/10.1016/j.bushor.2020.09.004

Tortorella, G. L., Fogliatto, F. S., Mac Cawley Vergara, A., et al. (2020). Healthcare 4.0: Trends, challenges and research directions. Production Planning & Control, 31(15), 1245–1260. https://doi.org/10.1080/09537287.2019.1702226

Vallo Hult, H., Master Östlund, C., Pålsson, P., Jood, K. (2023). Designing for digital transformation of residency education – a post-pandemic pedagogical response. BMC Medical Education, 23(1), 421. https://doi.org/10.1186/s12909-023-04390-2

Van Gestel, N., Ferlie, E., Grotenbreg, S. (2024). A public value strategy for sustainable development goals: Transforming an existing organization? British Journal of Management, 35(2), 839–853. https://doi.org/10.1111/1467-8551.12742

Venkatesh, V., Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/MNSC.46.2.186.11926

Villadsen, K. (2017). Constantly online and the fantasy of ‘work–life balance’: Reinterpreting work-connectivity as cynical practice and fetishism. Culture and Organization, 23(5), 363–378. https://doi.org/10.1080/14759551.2016.1220381

Von Bertalanffy, L. (1968). General System Theory Foundations, Development, Applications. George Braziller, Inc.

Weber, P., Siriyota, K., Quddus, A. (2024). Measuring the influence of technological innovation and social sustainability via the mediating role of organizational innovation and digital entrepreneurship. Journal of Infrastructure, Policy and Development, 8(8), 5432. https://doi.org/10.24294/jipd.v8i8.5432