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Tytuł artykułu

Technostress and its management in the 21st century workplace: implications for consulting workforce

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PL
Technostres i zarządzanie nimi w miejscu pracy XXI wieku: wskazania dla pracowników doradztwa
Języki publikacji
EN
Abstrakty
EN
Main goal of this paper is to draw more attention to the pervasiveness of technostress (TS) in the consulting domain. As TS tends to be perceived differently in terms of what it entails, this work has focused on researching, instead, the breadth of its relationship with the salient demographical variables: gender, age, organizational rank and family status in an under researched organizational setting. This makes for the first novel contribution of the paper. The interplay in question has been investigated from the quantitative point of view. Knowledge space has been built on the data obtained via a quantitative questionnaire. The research sample consisted of 702 consulting employees (417 men and 275 women), aged 18-65. Data analysis draw on the explanatory potential of ANOVA and stepwise regression models. Results reveal that female participants and employees older than 35, experience significantly more Techno-Complexity compared to other groups. No significant effect of family status on Techno-Complexity was found. Senior-rank employees experience more Techno-Overload and Techno-Invasion, compared to their co-workers in more junior positions. Our findings point out to the necessity of workplace-stress prevention solutions focusing specifically on gender, age and the seniority level of an employee. In addition, they provide important signposts for how such fast-paced organizations as consulting companies can revitalize their human resource management (HRM) practices to foster a healthy workplace environment conducive of workplace productivity and innovation.
PL
Głównym celem niniejszego artykułu jest zwrócenie większej uwagi na wszechobecność technostresu w branży konsultingowej. Ponieważ technostres jest zwykle postrzegany w różny sposób pod względem tego, co się z nim wiąże, niniejsza praca koncentruje się na badaniu zakresu jego związku z istotnymi zmiennymi demograficznymi: płcią, wiekiem, rangą organizacyjną i statusem rodzinnym w niedostatecznie zbadanym środowisku organizacyjnym. Stanowi to pierwszy nowatorski wkład tego artykułu. Omawiana interakcja została zbadana z ilościowego punktu widzenia. Przestrzeń wiedzy została zbudowana na danych uzyskanych za pomocą kwestionariusza ilościowego. Próba badawcza składała się z 702 pracowników konsultingu (417 mężczyzn i 275 kobiet) w wieku 18-65 lat. W analizie danych wykorzystano potencjał wyjaśniający modeli ANOVA i regresji krokowej. Wyniki pokazują, że kobiety i pracownicy w wieku powyżej 35 lat doświadczają znacznie większej złożoności technologicznej w porównaniu z innymi grupami. Nie stwierdzono istotnego wpływu statusu rodzinnego na złożoność techniczną. Pracownicy wyższego szczebla doświadczają większego przeciążenia technologicznego i inwazji technologicznej w porównaniu do swoich współpracowników na niższych stanowiskach. Nasze wyniki wskazują na konieczność wprowadzenia rozwiązań zapobiegających stresowi w miejscu pracy, koncentrujących się w szczególności na płci, wieku i stażu pracy pracownika. Ponadto, dostarczają one ważnych wskazówek, w jaki sposób tak szybko rozwijające się organizacje, jak firmy konsultingowe, mogą zrewitalizować swoje praktyki zarządzania zasobami ludzkimi (HRM), aby wspierać zdrowe środowisko pracy sprzyjające produktywności i innowacyjności w miejscu pracy.
Słowa kluczowe
Rocznik
Strony
206--222
Opis fizyczny
Bibliogr. 50 poz., tab.
Twórcy
  • Department of Law and Social Sciences, Faculty of Business and Economics, Mendel University, Czech Republic
  • Department of Law and Social Sciences, Faculty of Business and Economics, Mendel University, Czech Republic
Bibliografia
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  • 8. Brivio, E., Gaudioso, F., Vergine, I., Mirizzi, C. R., Reina, C., Stellari, A. and Galimberti, C., (2018). Preventing technostress through positive technology. Frontiers in psychology, 9, 2569.
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  • 10. Califf, C. B., Brooks, S., (2020). An empirical study of techno-stressors, literacy facilitation, burnout, and turnover intention as experienced by K-12 teachers. Computers and Education, 157, 103971.
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  • 12. Camarena, L., Fusi, F., (2022). Always connected: Technology use increases technostres among public managers. The American Review of Public Administration, 52(2), 154-168.
  • 13. Chen, L., Muthitacharoen, A., (2018). An empirical investigation of the consequences of technostress: Evidence from China. In Social Issues in the Workplace: Breakthroughs in Research and Practice (pp. 667-690). IGI Global.
  • 14. Davis, G. B., (2002). Anytime/anyplace computing and the future of knowledge work. Communications of the ACM, 45(12), 67-73.
  • 15. Day, A., Paquet, S., Scott, N. and Hambley, L., (2012). Perceived information and communication technology (ICT) demands on employee outcomes: the moderating effect of organizational ICT support. Journal of occupational health psychology, 17(4), 473.
  • 16. Ferziani, A., Rajagukguk, R. O. and Analya, P., (2018, October). Types of technostress on employees of IT consulting company. In 2018 International Conference on Orange Technologies (ICOT) (pp. 1-5). IEEE.
  • 17. Gaudioso, F., Turel, O. and Galimberti, C., (2017). The mediating roles of strain facets and coping strategies in translating techno-stressors into adverse job outcomes. Computers in Human Behavior, 69, 189-196.
  • 18. González-López, Ó. R., Buenadicha-Mateos, M. and Sánchez-Hernández, M. I., (2021). Overwhelmed by technostress? Sensitive archetypes and effects in times of forced digitalization. International Journal of Environmental Research and Public Health, 18(08), 4216.
  • 19. Gulewicz, M., (2022). Digital twin technology—awareness, implementation problems and benefits. Engineering Management in Production and Services, 14(1), 63-77.
  • 20. Hasher, L., Zacks, R. T., (1988). Working memory, comprehension, and aging: A review and a new view. Psychology of learning and motivation, 22, 193-225.
  • 21. Honka, A., Kaipainen, K., Hietala, H. and Saranummi, N., (2011). Rethinking health: ICT- enabled services to empower people to manage their health. IEEE reviews in biomedical engineering, 4, 119-139.
  • 22. Hsiao, K. L., (2017). Compulsive mobile application usage and technostress: the role of personality traits. Online Information Review, 41(2), 272-295.
  • 23. Ibrahim, H., Yusoff, Y. M., (2015). User characteristics as antecedents of techno stress towards EHRM: From experts’ views. Procedia-Social and Behavioral Sciences, 172, 134-141.
  • 24. Karimikia, H., Singh, H. and Joseph, D., (2021). Negative outcomes of ICT use at work: meta-analytic evidence and the role of job autonomy. Internet Research, 31(1), 159-190.
  • 25. Korzynski, P., Florent-Treacy, E. and Kets de Vries, M. F., (2016). You and your technostress: Relating personality dimensions to ICT-related stress.
  • 26. Krishnan, S., (2017). Personality and espoused cultural differences in technostress creators. Computers in Human Behavior, 66, 154-167.
  • 27. La Torre, G., Esposito, A., Sciarra, I. and Chiappetta, M., (2019). Definition, symptoms and risk of techno-stress: a systematic review. International archives of occupational and environmental health, 92, 13-35.
  • 28. Li, L., and Wang, X., (2021). Technostress inhibitors and creators and their impacts on university teachers’ work performance in higher education. Cognition, Technology and Work, 23, 315-330.
  • 29. Marchiori, D. M., Mainardes, E. W. and Rodrigues, R. G., (2019). Do individual characteristics influence the types of technostress reported by workers?. International Journal of Human-Computer Interaction, 35(3), 218-230.
  • 30. O’Driscoll, M. P., Brough, P., Timms, C. and Sawang, S., (2010). Engagement with information and communication technology and psychological well-being. In New developments in theoretical and conceptual approaches to job stress (pp. 269-316).
  • 31. Ogbonnaya, C., Daniels, K., Connolly, S. and van Veldhoven, M., (2017). Integrated and isolated impact of high-performance work practices on employee health and well-being: A comparative study. Journal of occupational health psychology, 22(1), 98.
  • 32. Özgür, H., (2020). Relationships between teachers’ technostress, technological pedagogical content knowledge (TPACK), school support and demographic variables: A structural equation modeling. Computers in Human Behavior, 112, 106468.
  • 33. Pflügner, K., Reis, L., Maier, C. and Weitzel, T., (2020, June). Communication measures to reduce techno-invasion and techno-overload: a qualitative study uncovering positive and adverse effects. In Proceedings of the 2020 on computers and people research conference (pp. 114-122).
  • 34. Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S. and Tu, Q., (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information systems research, 19(4), 417-433.
  • 35. Reinke, K., Gerlach, G., Tarafdar, M. and Stock, R. M., (2016). ICT-based communication events as triggers of stress: A mixed methods study. In: International Conference on Information Systems (ICIS), 2016, Dublin Proceedings. AIS Electronic Library, IRL. ISBN 9780996683135
  • 36. Richmond, A., and Skitmore, M., (2006). Stress and coping: A study of project managers in a large ICT organization. Project Management Journal, 37(5), 5-16.
  • 37. Riedl, R., Kindermann, H., Auinger, A. and Javor, A., (2013). Computer breakdown as a stress factor during task completion under time pressure: Identifying gender differences based on skin conductance. Advances in Human–Computer Interaction, 1-7.
  • 38. Şahin, Y. L., Çoklar, A. N., (2009). Social networking users’ views on technology and the determination of technostress levels. Procedia-Social and Behavioral Sciences, 1(1), 1437-1442.
  • 39. Salanova, M., Llorens, S., Cifre, E. and Nogareda, C., (2007) Technostress: Concept, measurement, and Prevention. Notatechia de Prevencion. 730. Madrid, Spain. INSHT
  • 40. Salanova, M., Llorens, S. and Cifre, E., (2013). The dark side of technologies: Technostress among users of information and communication technologies. International journal of psychology, 48(3), 422-436.
  • 41. Salanova, M., Llorens, S. and Ventura, M., (2014). Technostress: The dark side of technologies. The impact of ICT on quality of working life, 87-103.
  • 42. Sareen, P., (2019). Techno Stress Creators-An Exploratory Research on Teaching and Non Teaching Staff Working in Colleges. International Journal of Management and Humanities (IJMH), 3(9), 1-7.
  • 43. Stadin, M., Nordin, M., Broström, A., Hanson, L. L. M., Westerlund, H. and Fransson, E. I., (2021). Technostress operationalised as information and communication technology (ICT) demands among managers and other occupational groups–results from the Swedish longitudinal occupational survey of health (SLOSH). Computers in human behavior, 114, 106486.
  • 44. Tams, S., Thatcher, J. B. and Grover, V., (2018). Concentration, competence, confidence, and capture: An experimental study of age, interruption-based technostress, and task performance. Journal of the Association for Information Systems, 19(9), 2.
  • 45. Tarafdar, M., Tu, Q., Ragu-Nathan, B. S. and Ragu-Nathan, T. S., (2007). The impact of technostress on role stress and productivity. Journal of management information systems, 24(1), 301-328.
  • 46.Tarafdar, M., Tu, Q., Ragu-Nathan, T. S. and Ragu-Nathan, B. S., (2011). Crossing to the dark side: examining creators, outcomes, and inhibitors of technostress. Communications of the ACM, 54(9), 113-120.
  • 47. Tarafdar, M., Gupta, A. and Turel, O., (2013). The dark side of information technology use. Information Systems Journal, 23(3), 269-275.
  • 48. Tarafdar, M., Cooper, C. L. and 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.
  • 49. Wang, K., Shu, Q. and Tu, Q., (2008). Technostress under different organizational environments: An empirical investigation. Computers in human behavior, 24(6), 3002-3013.
  • 50. Weerasekara, M. K., Smedberg, Å. B., (2022). Felix The Digibud: Unveiling The Design of an ICT-Supported In-tervention for Occupational Stress Management. In International Conference e-Health 2022 (pp. 163-172). IADIS Press.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-488faa1e-0735-4aa6-8e0c-ea0bf1b0bab6
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