Hacia una visión integral del bienestar digital de los seniors españoles
DOI:
https://doi.org/10.12795/anduli.2025.i28.06Palabras clave:
envejecimiento activo, adultos mayores, emociones online, métodos mixtos, sociedad digital, población española mayor de 55 años, análisis de sentimientosResumen
Este estudio despliega un marco para analizar la relación emocional de los mayores con la tecnología, buscando cómo mejorarla para favorecer el envejecimiento y bienestar. Se exploran motivaciones, barreras, impulsores y comportamientos de personas mayores de 55 años hacia la sociedad digital. El estudio utiliza métodos mixtos que combina: (1) análisis cualitativo de sentimientos subyacentes en narrativas orales mediante minería de textos (Text Mining), (2) perfiles cuantitativos vía encuestas, (3) evaluación de autonomía y satisfacción percibida con ella y (4) recopilación de comentarios espontáneos. Entre los resultados destaca que los mayores muestran sentimientos positivos con la sociedad digital y sólo informan de sentimientos de malestar solo cuando se comparan con los jóvenes. No se observan diferencias de género en el uso de la tecnología, aunque sí en la autoevaluación del nivel de autonomía y la satisfacción percibida con ella. Aunque la llegada de la inteligencia artificial les preocupa, por al desplazamiento que pudiera suponer de las personas y los posibles usos maliciosos, la ven como un avance emocionante.
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Aggarwal, D., Bali, V., Agarwal, A., Poswal, K., Gupta, M., & Gupta, A. (2021). Sentiment Analysis of Tweets Using Supervised Machine Learning Techniques Based on Term Frequency. Journal of Information Technology Management, 13(1), 119-141. http://dx.doi.org/10.22059/jitm.2021.80028
Alalwan, A. A., Rana, N. P., Dwivedi, Y. K., & Algharabat, R. (2017). Social media in marketing: A review and analysis of the existing literature doi:10.2196/31552. Telematics and informatics, 34(7), 1177-1190. https://doi.org/10.1016/j.tele.2017.05.008
Albers, E.A.; Mikal, J.; Millenbah, A.; Finlay, J.; Jutkowitz, E.; Mitchell, L.; Gaugler, J.E. (2022). The Use of Technology Among Persons with Memory Concerns and Their Caregivers in the United States During the COVID-19 Pandemic: Qualitative Study. JMIR Aging 2022, 5, e3155. DOI: 10.2196/31552
Alslaity, A., & Orji, R. (2024). Machine learning techniques for emotion detection and sentiment analysis: current state, challenges, and future directions. Behaviour & Information Technology, 43(1), 139-164. https://doi.org/10.1080/0144929X.2022.2156387
Altheide, D.L. & Johnson, J.M., (1994). Criteria for Assessing Interpretive Validity in Qualitative Research. Denzin, N.K. & Lincoln, Y.S., (eds.), Handbook of Qualitative Research, Sage, Thousand Oaks, California, 1994, pp. 485-499.
Amichai-Hamburger, Y. (Ed.). (2013). The social net: Understanding our online behavior. OUP Oxford.
Aswani, R., Kar, A. K., Ilavarasan, P. V., & Dwivedi, Y. K. (2018). Search engine marketing is not all gold: Insights from Twitter and SEO Clerks. International Journal of Information Management, 38(1), 107-116. https://doi.org/10.1016/j.ijinfomgt.2017.07.005
Audrin, C., & Audrin, B. (2023). More than just emotional intelligence online: introducing “digital emotional intelligence”. Frontiers in Psychology, 14, 1154355.
Bello-Dávila, Z., Rionda-Sánchez, H. D., & Rodríguez-Pérez, M. E. (2010). La inteligencia emocional y su educación. Varona, (51), 36-43.
Bergh, B.L., (1989). Qualitative Research Methods for the Social Sciences, Allyn and Bacon, Needham Heights, Massachusetts.
Berkman, L. F., Glass, T., Brissette, I., & Seeman, T. E. (2000). From social integration to health: Durkheim in the new millennium. Social science & medicine, 51(6), 843-857.
Berrocal, P. F., & Pacheco, N. E. (2009). La inteligencia emocional y el estudio de la felicidad. RIFOP: Revista interuniversitaria de formación del profesorado: continuación de la antigua Revista de Escuelas Normales, (66), 85-108.
Bessière, K., Pressman, S., Kiesler, S., & Kraut, R. (2010). Effects of internet use on health and depression: a longitudinal study. Journal of medical Internet research, 12(1), e6.
Bettis, A. H., Burke, T. A., Nesi, J., & Liu, R. T. (2022). Digital technologies for emotion-regulation assessment and intervention: A conceptual review. Clinical Psychological Science, 10(1), 3-26. https://doi.org/10.1177/21677026211011982
Blumer, H. (1982). El interaccionismo simbólico (p. 69). Barcelona: Hora.
Blumer, H., (1969). Simbolic Interactionism, Perspective and Method, Prentice Hall, Engle wood.
Brave, S., & Nass, C. (2007). Emotion in human-computer interaction. In The human-computer interaction handbook (pp. 103-118). CRC Press.
Bravo, P. (1998). Enfoque en la metodología cualitativa: sus prácticas, de investigación. Métodos de investigación en psicopedagogía.
Briegas, J. J. M., Castro, F. V., Iglesias, A. I. S., Lucchese, F., & Ballester, F. S. G. (2021). Silver Economy, una oportunidad de desarrollo. Confinia Cephalalgica et Neurologica, 31(2).
Cabrera-Nocito, V. & Ibar-Alonso, R. (2023). Tecnoestrés en mayores. Libro Blanco Silver Economy. Madrid FinTech
Carasila, A. M. C. (2010). Neuromarketing: las emociones y el comportamiento de compra. Perspectivas, (25), 9-24.
Chandrasekaran, R., Mehta, V., Valkunde, T., & Moustakas, E. (2020). Topics, trends, and sentiments of tweets about the COVID-19 pandemic: temporal infoveillance study. Journal of medical Internet research, 22(10), e22624. doi: 10.2196/22624
Chandrasekaran, R., Konaraddi, K., Sharma, S. S., & Moustakas, E. (2024). Text-Mining and video analytics of covid-19 narratives shared by patients on youtube. Journal of Medical Systems, 48(1), 21. https://doi.org/10.1007/s10916-024-02047-1
Chang, E. C. (2024). Beyond Dispositional Optimism and Pessimism: Does the Tripartite Model of Meaning in Life Matter in Predicting Future Well-Being in Adults?. Journal of Happiness Studies, 25(5), 57. https://doi.org/10.1007/s10902-024-00772-5
Charness, N., & Boot, W. R. (2009). Aging and information technology use: Potential and barriers. Current directions in psychological science, 18(5), 253-258. https://doi.org/10.1111/j.1467-8721.2009.01647.x
Chárriez Cordero, M. (2012). Historias de vida: Una metodología de investigación cualitativa. Revista Griot, 5(1), 50–67. https://revistas.upr.edu/index.php/griot/article/view/1775
Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of marketing research, 43(3), 345-354. https://doi.org/10.1509/jmkr.43.3.345
Cohen, S. (2004). Social relationships and health. American psychologist, 59(8), 676.
Czaja, S. J., Charness, N., Fisk, A. D., Hertzog, C., Nair, S. N., Rogers, W. A., & Sharit, J. (2006). Factors predicting the use of technology: findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE). Psychology and aging, 21(2), 333. https://psycnet.apa.org/doi/10.1037/0882-7974.21.2.333
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology. MIS quarterly. https://doi.org/10.2307/249008
De Paz Cobo, S., Fernández, M. O., & Neyra, M. G. (2021). Análisis multifactorial de la calidad de vida de la población de mayor edad en Europa. Revista Prisma Social, (32), 93-127.
Deci, E. L., & Ryan, R. M. (2008). Hedonia, eudaimonia, and well-being: An introduction. Journal of happiness studies, 9, 1-11. https://doi.org/10.1007/s10902-006-9018-1
Dellarocas, C. (2003). The digitization of word of mouth: Promise and challenges of online feedback mechanisms. Management science, 49(10), 1407-1424. https://doi.org/10.1287/mnsc.49.10.1407.17308
Delle Fave, A., Brdar, I., Freire, T., Vella-Brodrick, D., & Wissing, M. P. (2011). The eudaimonic and hedonic components of happiness: Qualitative and quantitative findings. Social indicators research,100, 185-207. DOI:10.1007/s11205-010-9632-5
Delle Fave, A., Brdar, I., Wissing, M. P., & Vella-Brodrick, D. A. (2016). Sources and motives for personal meaning in adulthood. In Positive psychology in search for meaning (pp. 61-73). Routledge.
Dictamen del Comité Económico y Social Europeo sobre la Estrategia europea para las personas mayores (Dictamen exploratorio solicitado por la Presidencia española). (2023). Diario Oficial, C 349, 28-35. CELEX: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52023AE0532[legislation]
DiMaria, C. H., Peroni, C., & Sarracino, F. (2020). Happiness matters: Productivity gains from subjective well-being. Journal of Happiness Studies, 21(1), 139-160. https://doi.org/10.1007/s10902-019-00074-1
Duriau, V. J., Reger, R. K., & Pfarrer, M. D. (2007). A content analysis of the content analysis literature in organization studies: Research themes, data sources, and methodological refinements. Organizational research methods, 10(1), 5-34. https://doi.org/10.1177/1094428106289252
Elliott, J. (2005). Using narrative in social research: Qualitative and quantitative approaches. Sage: Newcastle.
Ertiö, T., Eriksson, T., Rowan, W., & McCarthy, S. (2024). The role of digital leaders’ emotional intelligence in mitigating employee technostress. Business Horizons. https://doi.org/10.1016/j.bushor.2024.03.004
Fang, M. L., Canham, S. L., Battersby, L., Sixsmith, J., Wada, M., & Sixsmith, A. (2019). Exploring privilege in the digital divide: implications for theory, policy, and practice. The Gerontologist, 59(1), e1-e15.
Filieri, R., Alguezaui, S., & McLeay, F. (2015). Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth. Tourism management, 51, 174-185. https://doi.org/10.1016/j.tourman.2015.05.007
Galvagni, L. (2020). A digital spirituality for digital humans?. In Religion in the Age of Digitalization (pp. 144-154). Routledge.
Garner, P. W. (2010). Emotional competence and its influences on teaching and learning. Educational Psychology Review, 22, 297-321.
Gibson, A., Bardach, S. H., & Pope, N. D. (2020). COVID-19 and the digital divide: Will social workers help bridge the gap?. Journal of Gerontological Social Work, 63(6-7), 671-673. https://doi.org/10.1080/01634372.2020.1772438
Goldenberg, A., & Gross, J. J. (2020). Digital emotion contagion. Trends in cognitive sciences, 24(4), 316-328. https://doi.org/10.1016/j.tics.2020.01.009
Goleman, D. (1996). Emotional intelligence. Why it can matter more than IQ. Learning, 24(6), 49-50.
Grover, P., & Kar, A. K. (2017). Big data analytics: A review on theoretical contributions and tools used in literature. Global Journal of Flexible Systems Management, 18, 203-229. https://doi.org/10.1007/s40171-017-0159-3
Guner, H., & Acarturk, C. (2020). The use and acceptance of ICT by senior citizens: a comparison of technology acceptance model (TAM) for elderly and young adults. Universal Access in the Information Society, 19(2), 311-330. https://doi.org/10.1007/s10209-018-0642-4
Hassard, J., Teoh, K. R., Visockaite, G., Dewe, P., & Cox, T. (2018). The cost of work-related stress to society: A systematic review. Journal of occupational health psychology, 23(1), 1.
Hauk, N., Göritz, A. S., & Krumm, S. (2019). The mediating role of coping behavior on the age-technostress relationship: A longitudinal multilevel mediation model. PloS one, 14(3), https://doi.org/10.1371/journal.pone.0213349
Helliwell, J. F. & Putman, R. D. (2004). The Social Context of Well-being. Philosophical transactionsroyal society of London series B biological sciences.
Hernandis, S. P. (2022). Las personas mayores y la conexión digital con otras generaciones. In Educación, calidad de vida y redes sociales en las relaciones intergeneracionales: Manual de buenas prácticas (pp. 19-32). Thomson Reuters Aranzadi. https://doi.org/10.1016/j.invent.2016.06.005
Holt-Lunstad, J., Smith, T. B., & Layton, J. B. (2010). Social relationships and mortality risk: a meta-analytic review. PLoS medicine, 7(7), e1000316.
Humphreys, A., & Wang, R. J. H. (2018). Automated text analysis for consumer research. Journal of Consumer Research, 44(6), 1274-1306. https://doi.org/10.1093/jcr/ucx104
Ibar-Alonso, R., Quiroga-García, R., & Arenas-Parra, M. (2022). Opinion mining of green energy sentiment: a Russia-Ukraine conflict analysis. Mathematics, 10(14), 2532.https://doi.org/10.3390/math10142532
Indick, W. (2015). The Digital God: How Technology Will Reshape Spirituality. McFarland.
Jackelén, A. (2021). Technology, theology, and spirituality in the digital age. Zygon®,56(1), 6-18. https://doi.org/10.1111/zygo.12682
Jamiy, F. E., Daif, A., Azouazi, M., & Marzak, A. (2015). The potential and challenges of Big data-Recommendation systems next level application. arXiv preprint arXiv:1501.03424. https://doi.org/10.48550/arXiv.1501.03424
Janasik, N., Honkela, T., & Bruun, H. (2009). Text mining in qualitative research: Application of an unsupervised learning method. Organizational Research Methods, 12(3), 436-460 https://doi.org/10.1177/1094428108317202
Jeong, B., Yoon, J., & Lee, J. M. (2019). Social media mining for product planning: A product opportunity mining approach based on topic modeling and sentiment analysis. International Journal of Information Management, 48, 280-290. https://doi.org/10.1016/j.ijinfomgt.2017.09.009
Jones, G. (1983). Organizational socialization as information processing activity: A life history analysis. Human Organization, 42(4), 314-320.
Kaihlanen, A. M., Virtanen, L., Buchert, U., Safarov, N., Valkonen, P., Hietapakka, L., ... & Heponiemi, T. (2022). Towards digital health equity-a qualitative study of the challenges experienced by vulnerable groups in using digital health services in the COVID-19 era. BMC health services research, 22(1), 188. https://doi.org/10.1186/s12913-022-07584-4
Kang, S. (2007). Disembodiment in online social interaction: Impact of online chat on social support and psychosocial well-being. CyberPsychology & Behavior, 10(3), 475-477.
Katey, D., & Chivers, S. (2025). Navigating the Digital Divide: Exploring the Drivers, Drawbacks, and Prospects of Social Interaction Technologies′ Adoption and Usage Among Older Adults During COVID‐19. Journal of Aging Research, 2025(1), 7625097.
Kawachi, I., & Berkman, L. F. (2001). Social ties and mental health. Journal of Urban health, 78, 458-467.
Kobayashi, V. B., Mol, S. T., Berkers, H. A., Kismihok, G., & Den Hartog, D. N. (2018). Text classification for organizational researchers: A tutorial. Organizational research methods, 21(3), 766-799. https://doi.org/10.1177/1094428117719322
Kumar, S., Kar, A. K., & Ilavarasan, P. V. (2021). Applications of text mining in services management: A systematic literature review. International Journal of Information Management Data Insights, 1(1), 100008. https://doi.org/10.1016/j.jjimei.2021.100008
Kupiek, M. (2021). Digital leadership, agile change and the emotional organization: Emotion as a success factor for digital transformation projects. Springer Nature.
La Torre, G., Esposito, A., Sciarra, I., & Chiappetta, M. (2019). Definition, symptoms and risk of techno-stress: a systematic review. International archives of occupational and environmental health, 92, 13-35. https://doi.org/10.1007/s00420-018-1352-1
Lash, S. (2001). Technological forms of life. Theory, Culture & Society, 18(1), 105-120. https://doi.org/10.1177/02632760122051661
Leandro, J. O., & Fianty, M. I. (2025). Evaluation of Sentiment Analysis Methods for Social Media Applications: A Comparison of Support Vector Machines and Naïve Bayes. JOIV: International Journal on Informatics Visualization, 9(2), 796-807.
Lee, S. B., Lee, S. C., & Suh, Y. H. (2016). Technostress from mobile communication and its impact on quality of life and productivity. Total Quality Management & Business Excellence, 27(7-8), 775-790.https://doi.org/10.1080/14783363.2016.1187998
Lee, V., Cheng, D. Y. Y., Lit, K. K. D., Buaton, H., & Lam, E. (2025). Active ageing in the digital era: the role of new technologies in promoting the wellbeing of older people in Hong Kong. Asia Pacific Journal of Social Work and Development, 1-20.
Leikas, J., Saariluoma, P., Heinilä, J., & Ylikauppila, M. (2013). A methodological model for life-based design. International Review of Social Sciences and Humanities, 4(2), 118-136.
Liu, L., Wu, F., Tong, H., Hao, C., & Xie, T. (2021). The digital divide and active aging in China. International journal of environmental research and public health, 18(23), 12675. https://doi.org/10.3390/ijerph182312675
Llorens, S., Cifre, E., & Nogareda, C. (2017). NTP 730: Tecnoestrés: concepto, medida e intervención psicosocial.
Lomanowska, A. M., & Guitton, M. J. (2016). Online intimacy and well-being in the digital age. Internet interventions, 4, 138-144. https://doi.org/10.1016/j.invent.2016.06.005
Lucibello, K. M., Vani, M. F., Koulanova, A., DeJonge, M. L., Ashdown-Franks, G., & Sabiston, C. M. (2021). # quarantine15: A content analysis of Instagram posts during COVID-19. Body Image, 38, 148-156. https://doi.org/10.1016/j.bodyim.2021.04.002
MadFinTech (2024). Libro Blanco de la Silver Economy en España 2024. Consultado el 8 de diciembre de 2024 en https://ecofin.es/wp-content/uploads/2023/11/LibroBlancoSilverEconomy2024.pdf
Magrassi, G., & Rocca, M. (1979). La historia de vida. (pp. 165-165). Centro Editor de América Latina.
Martin-García, A., Muñoz Rodríguez, J. M, Serrate-González, S., & Murciano-Hueso, A. (2021). Intención de participación en programas universitarios de mayores en modalidad a distancia: Identificación de perfiles mediante análisis de segmentación. Pedagogía social: revista interuniversitaria, (39), 105-122.
Mayring, P. (2015). Qualitative content analysis: Theoretical background and procedures. Approaches to qualitative research in mathematics education: Examples of methodology and methods, 365-380. https://doi.org/10.1007/978-94-017-9181-6_13
McCreadie, C.; Tinker, A. (2005). The Acceptability of Assistive Technology to Older People. Ageing Soc. 2005, 25, 91–110. https://doi.org/10.1017/S0144686X0400248X
Miao, C., Humphrey, R. H., & Qian, S. (2017). A meta‐analysis of emotional intelligence and work attitudes. Journal of occupational and organizational psychology, 90(2), 177-202. https://doi.org/10.1111/joop.12167
Moody, E. J. (2001). Internet use and its relationship to loneliness. CyberPsychology & Behavior, 4(3), 393-401.
More, M. (2013). The philosophy of transhumanism. The transhumanist reader: Classical and contemporary essays on the science, technology, and philosophy of the human future, 3-17. https://doi.org/10.1002/9781118555927.ch1
Muhandhis, I., & Ritonga, A. S. (2025). Public Sentiment Analysis on TikTok about Tapera Policy using Random Forest Classifier. Sistemasi: Jurnal Sistem Informasi, 14(1), 354-365.
Muñoz-Céspedes, E., Ibar-Alonso, R., & de Lorenzo Ros, S. (2021). Financial literacy and sustainable consumer behavior. Sustainability, 13(16), 9145. https://doi.org/10.3390/su13169145
Murciano-Hueso, A., Martín-García, A. V., & Cardoso, A. P. (2022). Technology and quality of life of older people in times of COVID: A qualitative study on their changed digital profile. International Journal of Environmental Research and Public Health, 19(16), 10459. https://doi.org/10.3390/ijerph191610459
Murciano Hueso A, Martín García AV, Torrijos Fincias P. (2022). Systematic review of digital technology acceptance in older adults. Perspective of TAM models. Revista Española de Geriatría y Gerontología. 57(2), 105-117. https://doi.org/10.1016/j.regg.2022.01.004
Murciano-Hueso, A., Martín-Lucas, J., Serrate González, S., & Torrijos Fincias, P. (2022). Use and perception of gerontechnology: differences in a group of Spanish older adults. Quality in Ageing and Older Adults, 23(3), 114-128. https://doi.org/10.1108/QAOA-02-2022-0010
Nastjuk, I., Trang, S., Grummeck-Braamt, J. V., Adam, M. T., & Tarafdar, M. (2023). Integrating and synthesising technostress research: a meta-analysis on technostress creators, outcomes, and IS usage contexts. European Journal of Information Systems, 1-22. https://doi.org/10.1080/0960085X.2022.2154712
Niknam, F., Samadbeik, M., Fatehi, F., Shirdel, M., Rezazadeh, M., & Bastani, P. (2021). COVID-19 on Instagram: A content analysis of selected accounts. Health policy and technology, 10(1), 165-173. https://doi.org/10.1016/j.hlpt.2020.10.016
Oberländer, M., Beinicke, A., and Bipp, T. (2020). Digital competencies: a review of the literature and applications in the workplace. Computers and Education, 146, 103752. https://doi.org/10.1016/j.compedu.2019.103752
Olsson, T., & Viscovi, D. (2020). Who Actually Becomes a Silver Surfer? Prerequisites for Digital Inclusion. Javnost - The Public, 27(3), 230–246. https://doi.org/10.1080/13183222.2020.1794403
Oude Mulders, J., Henkens, K., & van Dalen, H. P. (2021). Employees’ emotional, cognitive, and behavioral responses to increasing statutory retirement ages. BioMed Research International, 2021, 6645271. https://doi.org/10.1155/2021/6645271
Pas, B., & van den Berkmortel, J. (2024). Lets get digital: understanding different discourses on digitalization. In Framing the Economy of the Future (pp. 42-69). Edward Elgar Publishing,
Pasquín, M. R., Luque, O. G., & Martínez, M. A. L. (2023). Digitalization and skills in Spain: regional differences and gender gaps. Sociología y tecnociencia: Revista digital de sociología del sistema tecnocientífico, 13(2), 94-117.
Peters, D., Calvo, R. A., & Ryan, R. M. (2018). Designing for motivation, engagement and wellbeing in digital experience. Frontiers in psychology, 9, 797. https://doi.org/10.3389/fpsyg.2018.00797
Quan-Haase, A., Williams, C., Kicevski, M., Elueze, I., & Wellman, B. (2018). Dividing the grey divide: Deconstructing myths about older adults’ online activities, skills, and attitudes. American Behavioral Scientist, 62(9), 1207-1228. https://doi.org/10.1177/0002764218777572
Raamkumar, A. S., Tan, S. G., & Wee, H. L. (2020). Use of health belief model–based deep learning classifiers for covid-19 social media content to examine public perceptions of physical distancing: Model development and case study. JMIR public health and surveillance, 6(3), e20493.
Ragnedda, M., & Ragnedda, M. (2020). New digital inequalities. algorithms divide. Enhancing Digital Equity: Connecting the Digital Underclass, 61-83. https://doi.org/10.1007/978-3-030-49079-9_4
Raibley, J. R. (2012). Happiness is not well-being. Journal of Happiness Studies, 13, 1105-1129. https://doi.org/10.1007/s10902-011-9309-z
Robinson, E., Sutin, A. R., Daly, M., & Jones, A. (2022). A systematic review and meta-analysis of longitudinal cohort studies comparing mental health before versus during the COVID-19 pandemic in 2020. Journal of affective disorders, 296, 567-576. https://doi.org/10.1016/j.jad.2021.09.098
Ryff, C. D., & Singer, B. (2014). Interpersonal flourishing: A positive health agenda for the new millennium. In Personality and Social Psychology at the Interface (pp. 30-44). Psychology Press.
Rosatelli, M. E. (2011). A Framework for Digital Emotions. Virginia Commonwealth University.
Ruíz Olabuenaga, J. I. (2012). Teoría y práctica de la investigación cualitativa.
Sackmann, R., & Winkler, O. (2013). Technology generations revisited: The internet generation. Gerontechnology, 11(4), 493-503. https://doi.org/10.4017/gt.2013.11.4.002.00
Salanova Soria, M. (2003). Trabajando con tecnologías y afrontando el tecnoestrés: el rol de las creencias de eficacia. Revista de Psicología del Trabajo y de las Organizaciones, 19(3), 225-246 p.231
Salanova M., Llorens, S., Cifre, E., & Nogareda, C. (2017). NTP 730: Tecnoestrés: concepto, medida e intervención psicosocial. Notas Técnicas de Prevención, 730.
Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, cognition and personality, 9(3), 185-211.
Sánchez-Caballé, A., Gisbert-Cervera, M., and Esteve-Mon, F. (2020). The digital competence of university students: a systematic literature review. Revista de Psicologia, Ciències de l'Educació i de l'Esport, 38, 63–74. http://dx.doi.org/10.51698/aloma.2020.38.1.63-74
Santoyo, A. S., & Martínez, E. M. (2003). La brecha digital: mitos y realidades. Uabc.
Sear, R. F., Velásquez, N., Leahy, R., Restrepo, N. J., El Oud, S., Gabriel, N., ... & Johnson, N. F. (2020). Quantifying COVID-19 content in the online health opinion war using machine learning. IEEE Access, 8, 91886-91893.
Shaw, L. H., & Gant, L. M. (2002). In defense of the Internet: The relationship between Internet communication and depression, loneliness, self-esteem, and perceived social support. Cyberpsychology & behavior, 5(2), 157-171.
Schroeder, T., Dodds, L., Georgiou, A., Gewald, H., & Siette, J. (2023). Older adults and new technology: Mapping review of the factors associated with older adults’ intention to adopt digital technologies. JMIR aging, 6(1), e44564.
Simmons, L. W. (1942). Sun Chief: the autobiography of a Hopi Indian.
Sixsmith, A. (2013). Technology and the challenge of aging. In Technologies for active aging (pp. 7-25). Boston, MA: Springer US. https://doi.org/10.1007/978-1-4419-8348-0_2
Song, Y., Qian, C., & Pickard, S. (2021). Age-related digital divide during the COVID-19 pandemic in China. International Journal of Environmental Research and Public Health, 18(21), 11285. https://doi.org/10.3390/ijerph182111285
Steinfield, C., Ellison, N. B., Lampe, C., & Vitak, J. (2013). Online social network sites and the concept of social capital. Frontiers in new media research, 115-131.
Suárez-Álvarez, A., & Vicente, M. R. (2025). Internet use and the Well-Being of the Elders. A Quantitative Study in an Aged Country. Social Indicators Research, 176(3), 1121-1135.
Sureims, C. F., Omara Margarita, G. O., Virgen, C. S., & Ada María, D. A. F. (2021, June). Manifestaciones psicológicas en adultos mayores en aislamiento social durante la pandemia COVID-19. Cibamanz 2021.
Szczygiel, D. D., & Mikolajczak, M. (2018). Emotional intelligence buffers the effects of negative emotions on job burnout in nursing. Frontiers in psychology, 9, 2649. doi: 10.3389/fpsyg.2018.02649
Tan, S. G., Sesagiri Raamkumar, A., & Wee, H. L. (2021). Users’ beliefs toward physical distancing in Facebook pages of public health authorities during COVID-19 pandemic in early 2020. Health Education & Behavior, 48(4), 404-411.
Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007). The impact of technostress on role stress and productivity. Journal of management information systems, 24(1), 301-328. https://doi.org/10.2753/MIS0742-1222240109
Van den Eijnden, R. J., Meerkerk, G. J., Vermulst, A. A., Spijkerman, R., & Engels, R. C. (2008). Online communication, compulsive Internet use, and psychosocial well-being among adolescents: a longitudinal study. Developmental psychology, 44(3), 655.
Vassilakopoulou, P., & Hustad, E. (2023 o 2021?). Bridging digital divides: A literature review and research agenda for information systems research. Information Systems Frontiers, 25(3), 955-969. https://doi.org/10.1007/s10796-020-10096-3
Vuorikari, R., Kluzer, S., and Punie, Y. (2022). DigComp 2, 2. The Digital Competence Framework for Citizens—With new examples of knowledge, skills and attitudes Joint Research Centre (No. JRC128415).
Wadley, G., Smith, W., Koval, P., & Gross, J. J. (2020). Digital emotion regulation. Current Directions in Psychological Science, 29(4), 412-418. https://doi.org/10.1177/0963721420920592
Walter, Y. (2024). The digital transformation in the psychology of workplace spirituality. Digital Transformation and Society, 3(1), 23-49.
Wang, K., Shu, Q., & Tu, Q. (2008). Technostress under different organizational environments: An empirical investigation. Computers in human behavior, 24(6), 3002-3013.
Wang, Y., Huang, Y., Xu, J., & Bao, D. (2021). Interaction preference differences between elderly and younger exergame users. International Journal of Environmental Research and Public Health, 18(23), 12583. https://doi.org/10.3390/ijerph182312583
Wankhade, M., Rao, A. C. S., & Kulkarni, C. (2022). A survey on sentiment analysis methods, applications, and challenges. Artificial Intelligence Review, 55(7), 5731-5780. https://doi.org/10.1007/s10462-022-10144-1
Wiedemann, G. (2013). Opening up to big data: Computer-assisted analysis of textual data in social sciences. Historical Social Research/Historische Sozialforschung, 332-357.
Woolrych, R., Gibson, N., Sixsmith, J., & Sixsmith, A. (2015). “No home, no place”: Addressing the complexity of homelessness in old age through community dialogue. Journal of Housing for the Elderly, 29(3), 233-258. https://doi.org/10.1080/02763893.2015.1055024
World Health Organization. (2015). World Report on Ageing and Health; World Health Organization: Geneva, Switzerland, 2015.
Xu, L., Lam, Y. Y., Ng, D. T. K., Peng, P., Suen, W. L., Lee, C. S. Y., & Chu, S. K. W. (2024). Digital Literacy Education for Older Adults: A Scoping Review. Proceedings of the Association for Information Science and Technology, 61(1), 691-696.
Yust, K.-M. (2017). Drama, intimacy, and vulnerability: The spiritual challenges of digital culture. International Journal of Children’s Spirituality, 22(2), 110–119. https://doi.org/10.1080/1364436X.2017.1287682
Zhao, M., Li, Y., Lin, J. et al. (2024). The Relationship Between Trust and Well-Being: A Meta-Analysis. Journal of Happiness Studies 25, 56. https://doi.org/10.1007/s10902-024-00737-8
Zhao, Y., Llorente, A. M. P., & Gómez, M. C. S. (2021). Digital competence in higher education research: A systematic literature review. Computers & Education, 168, 104212. https://doi.org/10.1016/j.compedu.2021.104212
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