Demandas e recursos de tecnologias de informação e comunicação: evidências de validade de um instrumento

Mary Sandra Carlotto; Sheila Gonçalves Câmara; Lia Severo Vieira; Guilherme Welter Wendt; Arla Day

doi:10.31211/rpics.2024.10.2.345

Autores

Mary Sandra Carlotto Universidade de Brasília (UnB), Brasília, Brasil https://orcid.org/0000-0003-2336-5224
Sheila Gonçalves Câmara Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, Brasil https://orcid.org/0000-0001-6761-7644
Lia Severo Vieira Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brasil https://orcid.org/0000-0001-7686-0769
Guilherme Welter Wendt Universidade Estadual do Oeste do Paraná (UNIOESTE), Francisco Beltrão, Paraná, Brasil https://orcid.org/0000-0002-9014-6120
Arla Day Saint Mary's University (SMU), Nova Scotia, Canada https://orcid.org/0000-0002-8683-0587

DOI:

https://doi.org/10.31211/rpics.2024.10.2.345

Palavras-chave:

Demandas, Recursos, Tecnologias de Comunicação e Informação, Avaliação Psicológica, Validação

Resumo

Contexto: O modelo Demandas-Recursos em Tecnologias de Informação e Comunicação (TIC) propõe que a tecnologia pode atuar como recurso facilitador ou demanda adicional, influenciando o estresse e saúde ocupacional. Objetivo: Adaptar e validar as Escalas sobre Demandas e Recursos de TIC para o contexto brasileiro, explorando suas propriedades psicométricas. Métodos: Participaram 213 trabalhadores brasileiros que utilizavam TIC no desempenho laboral, a maioria do sexo masculino (64,8%) com média de idade de 35,5 anos e formação superior (92,5%). O instrumento foi administrado online, e os dados foram analisados através de Análise Fatorial Confirmatória (AFC) e coeficiente de fidedignidade Ômega. Resultados: A AFC revelou uma estrutura idêntica à original, com oito fatores para a escala de Demandas e dois para a escala de Recursos, ambos com coeficientes Ômega satisfatórios e índices de ajuste adequados. Conclusão: O instrumento apresenta validade psicométrica adequada para investigar demandas e recursos em ambientes de trabalho com TIC, oferecendo uma ferramenta útil para gestores que busquem avaliar e equilibrar esses aspectos no contexto laboral, prevenindo o estresse ocupacional.

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Referências

Ahmad, A. Y. B (2024). Firm determinants that influence implementation of accounting technologies in business organizations. WSEAS Transactions on Business and Economics, 21, 1–11. https://doi.org/10.37394/23207.2024.21.1

Ahmed, Z.; Nathaniel, S. P.; Shahbaz, M (2021). The criticality of information and communication technology and human capital in environmental sustainability: Evidence from Latin American and Caribbean countries. Journal of Cleaner Production, 286, Artigo 125529. https://doi.org/10.1016/j.jclepro.2020.125529

Asparouhov, T.; Muthén, B (2010). Simple Second Order Chi-Square Correction. https://www.statmodel.com/download/WLSMV_new_chi21.pdf

Bakker, A. B.; Demerouti, E.; De Boer, E.; Schaufeli, W. B (2003). Job demands and job resources as predictors of absence duration and frequency. Journal of Vocational Behavior, 62(2), 341–356. https://doi.org/10.1016/s0001-8791(02)00030-1

Bakker, A. B.; Van Veldhoven, M.; Xanthopoulou, D (2010). Beyond the Demand-Control Model: Thriving on high job demands and resources. Journal of Personnel Psychology, 9(1), 3–16. https://doi.org/10.1027/1866-5888/a000006

Bakker, A. B.; Demerouti, E.; Sanz-Vergel, A (2023). Job demands–resources theory: Ten years later. Annual Review of Organizational Psychology and Organizational Behavior, 10, 25–53. https://doi.org/10.1146/annurev-orgpsych-120920-053933

Carlotto, M. S.; Câmara, S. G (2010). Tradução, adaptação e exploração de propriedades psicométricas da escala de tecnoestresse (RED/TIC). Psicologia em Estudo, 15(1), 171–178. https://doi.org/10.1590/s1413-73722010000100018

Cassepp-Borges, V.; Balbinotti, M. A. A.; Teodoro, M. L. M (2010). Tradução e validação de conteúdo: uma proposta para adaptação de instrumentos. Em L. Pasquali, (Org.), Instrumentação psicológica. Fundamentos e práticas (pp.506–520). Artmed.

Cronbach, L. J (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/bf02310555

Day, A.; Scott, N.; Kelloway, E. K. (2010). Information and communication technology: Implications for job stress and employee well-being. Em P. L. Perrewé & D. C. Ganster (Eds.), New Developments in Theoretical and Conceptual Approaches to Job Stress (Vol. 8, pp. 317–350). https://doi.org/10.1108/s1479-3555(2010)0000008011

Day, A.; Paquet, S.; Scott, N.; 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), 473–491. https://doi.org/10.1037/a0029837

Demerouti, E.; Bakker, A. B.; Nachreiner, F.; Schaufeli, W. B (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499–512. https://doi.org/10.1037/0021-9010.86.3.499

Dunn, T. J.; Baguley, T.; Brunsden, V (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105(3), 399–412. https://doi.org/10.1111/bjop.12046

Hair, J. F.; Black, W. C.; Babin, B. J.; Anderson, R. E (2014). Multivariate data analysis (7.ª ed.). Pearson Education Limited.

Hajal, G. E (2022). Teleworking and the jobs of tomorrow. Research in Hospitality Management, 12(1), 21–27. https://doi.org/10.1080/22243534.2022.2080953

Hakanen, J.; Bakker, A. B.; Schaufeli, W. B (2006). Burnout and work engagement among teachers. The Journal of School Psychology, 43(6), 495–513. https://doi.org/10.1016/j.jsp.2005.11.001

Hernández-Nieto, R. A (2002). Contributions to statistical analysis. Universidad de Los Andes.

Hobfoll, S. E (1989). Conservation of resources: A new attempt at conceptualizing stress. American Psychologist, 44(3), 513–524. https://doi.org/10.1037/0003-066x.44.3.513

Hu, L.-T.; Bentler, P. M (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

International Test Commission (2017). The ITC guidelines for translating and adapting tests (2.ª ed.). https://www.intestcom.org/files/guideline_test_adaptation_2ed.pdf

Kumar, P. S (2024). Technostress: A comprehensive literature review on dimensions, impacts, and management strategies. Computers in Human Behavior Reports, 16, Artigo 100475. https://doi.org/10.1016/j.chbr.2024.100475

Kupang, G. B.; Ballangan, M. G.; Carantes, F. T.; Yanes, P. S (2024). Unpacking technostress: A systematic review on its effects and mitigation. Cognizance Journal of Multidisciplinary Studies, 4(4), 11–21. https://doi.org/10.47760/cognizance.2024.v04i04.002

Mahapatra, M.; Pati, S. P (2018). Technostress creators and burnout: A job demands-resources perspective. Proceedings of the 2018 ACM SIGMIS conference on computers and people research (pp. 70–77). https://doi.org/10.1145/3209626.3209711

Marôco, J (2014). Análise de equações estruturais: Fundamentos teóricos, software & aplicações (2.ª ed.). ReportNumber.

Miles, J.; Shevlin, M (2005). Applying regression and correlation: A guide for students and researchers. Sage.

Pansini, M.; Buonomo, I.; De Vincenzi, C.; Ferrara, B.; Benevene, P (2023). Positioning technostress in the JD-R model perspective: A systematic literature review. Healthcare, 11(446), 1–23. https://doi.org/10.3390/healthcare11030446

Parts, V (2024). From technostress to digital well-being. Em S. Durst & A. Pevkur (Eds.), Digital transformation for entrepreneurship (pp. 95–116). World Scientific Publishing Co Pte Ltd. https://doi.org/10.1142/9789811270178_0007

Rahman, H.; Singh, T (2024). Technostress and work exhaustion: unravelling the mediating role of work-family conflict in post-pandemic remote workers. International Journal of Applied Management Science, 16(3), 261–277. https://doi.org/10.1504/ijams.2024.140043

Rani, U.; Furrer, M (2021). Digital labour platforms and new forms of flexible work in developing countries: Algorithmic management of work and workers. Competition & Change, 25(2) 212–236. https://doi.org/10.1177/1024529420905187

Rosseel, Y (2012). Lavaan: An R package for structural equation Modeling. Journal of Statistical Software, 48, 1–36. https://doi.org/10.18637/jss.v048.i02

Salanova, M.; Llorens, S.; Cifre, E.; Nogareda, C (2007). El tecnoestrés: concepto, medida e intervención psicosocial. https://www.insst.es/documentacion/colecciones-tecnicas/ntp-notas-tecnicas-de-prevencion/21-serie-ntp-numeros-716-a-750-ano-2006/ntp-730-tecnoestres-concepto-medida-e-intervencion-psicosocial-2006

Salanova, M.; Llorens, S.; Cifre, E (2012). The dark side of technologies: Technostress among users of information and communication technologies. International Journal of Psychology, 48(3), 422–436. https://doi.org/10.1080/00207594.2012.680460

Scholze, A.; Hecker, A (2024). The job demands-resources model as a theoretical lens for the bright and dark side of digitization. Computers in Human Behavior, 155, Artigo 108177. https://doi.org/10.1016/j.chb.2024.108177

Stadin, M.; Nordin, M.; Anders Broström, Hanson; L. L. M., Westerlund; H., 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, Artigo 106486. https://doi.org/10.1016/j.chb.2020.106486

Stich, J-F.; Farley, S.; Cooper, C.; Tarafdar, M (2015). Information and communication technology demands: Outcomes and interventions. Journal of Organizational Effectiveness: People and Performance, 2(4), 327–345. https://doi.org/10.1108/joepp-09-2015-0031

Tabachnick, B. G.; Fidell, L. S (2012). Using multivariate statistics (6.ª ed.). Pearson Education.

Timmerman, M. E.; Lorenzo-Seva, U (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 16(2), 209–220. https://doi.org/10.1037/a0023353

Vieira, L. S.; Carlotto, M. S (2021). Demandas e recursos de trabalho como preditores de tecnoestresse em trabalhadores que utilizam as tecnologias de informação e comunicação. Revista Gestão & Tecnologia, 21(3), 148–167. https://revistagt.fpl.emnuvens.com.br/get/article/view/1970/1235

Wang, H.; Ding, H.; Kong, X (2023). Understanding technostress and employee well-being in digital work: The roles of work exhaustion and workplace knowledge diversity. International Journal of Manpower, 44(2), 334–353. https://doi.org/10.1108/ijm-08-2021-0480

Yıkılmaz, S.; K. Yikilmaz, I.; Bekmezci, M.; Surucu, L.; Cetinkaya, B (2024). Exploring the moderating effect of musculoskeletal pain on technostress-induced burnout: A cross-sectional study of bank employees. Healthcare, 12, 20, Artigo 2064. https://doi.org/10.3390/healthcare12202064