Más allá de la usabilidad: la innovación en la era digital como antídoto al aislamiento social

Autores/as

DOI:

https://doi.org/10.5585/2024.26088

Palabras clave:

consumo inovativo, difusão da inovação, plataformas digitais

Resumen

Objetivo del Estudio: El artículo tiene como objetivo evaluar el impacto de la satisfacción con la vida en el escenario de la pandemia COVID-19 en Brasil, considerando la percepción de usabilidad de los asistentes personales inteligentes (API), e investigar posibles moderaciones de las dimensiones de innovación del consumidor en este relación.

Metodología/Enfoque: La investigación de campo se realizó con 515 usuarios de asistentes personales inteligentes (API). El análisis de los resultados se realizó mediante regresión lineal múltiple, utilizando el software SPSS (Statistical Package for Social Science v.22), con la aplicación de la macro PROCESS.

Originalidad/Relevancia: Este estudio contribuye a llenar un vacío en la literatura sobre la difusión de la innovación y la adopción de productos tecnológicos al investigar aspectos del consumo innovador en un escenario de pandemia y aislamiento social.

Resultados principales: Los resultados de la investigación indican que la innovación en un dominio específico (DSI) modera la relación entre usabilidad (SUS) y satisfacción con la vida (LS), mientras que el comportamiento innovador (IB) modera esta relación solo con DSI mantenida en niveles medios y bajos. Se observó que, con una mayor usabilidad, la satisfacción con la vida aumenta y está moderada por la innovación en un dominio específico. Para niveles de BI más altos, LS aumenta más rápidamente.

Contribuciones Teóricas/Metodológicas: Al integrar conceptos de las teorías del consumo innovador y la difusión de innovaciones, el estudio ofrece información sobre cómo la tecnología afecta el bienestar en una crisis global. Este enfoque avanzado ayuda a comprender los mecanismos subyacentes a los impactos de la usabilidad y la innovación en el comportamiento humano.

Contribuciones sociales/gerenciales: este estudio ayuda a comprender cómo los usuarios de API pueden experimentar una mayor satisfacción con la vida en tiempos de pandemia y aislamiento social.

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Biografía del autor/a

Márcio de la Cruz Lui, Faculdade de Tecnologia de São Paulo - FATEC / Itatiba, São Paulo, SP

Doctorado en administración de empresas por la FEI (graduado en 2021); Magíster en administración de empresas por la FEI (graduada en 2011); MBA en gestión empresarial de la Fundação Getúlio Vargas (graduado en 2004); Especialista en docencia en educación superior por UNINOVE (egresada en 2013); Licenciado en ingeniería electrónica por la UNISANTA (egresado en 1995); Licenciatura en Administración de Empresas por la FAJ (graduada en 2021); Profesor y Coordinador de Cursos de FATEC (Itatiba); Profesor de UNINOVE; Consultor de negocios; Dueño de MEI y Guitarrista.

Roberto Carlos Bernardes, Fundação Educacional Inaciana Padre Saboia de Medeiros – FEI / São Paulo, SP

Doctor en Sociología por la Universidad de São Paulo. Ocupó el cargo de Analista Sr. de Proyectos en la Fundação Seade, fue analista en el área de mercado laboral, desarrollo económico y urbano. Se desempeñó como coordinador del proyecto temático FAPESP-PAEP(Proceso:00/13477-0), investigación pionera en el campo de la innovación, la difusión tecnológica y la I+D - que precedió al PINTEC/IBGE - en colaboración con instituciones como el IBGE, el MCTI y ANPEI, entre otros. Fue consultor de varias instituciones de desarrollo de CTI como FINEP, IPEA, CEPAL, MCTI, BNDES y FAPESP, entre otras. Coordinó el estudio para aumentar la densidad de la cadena aeronáutica brasileña, que resultó en la creación de la política de financiación Pró-Aeronaútica por parte del BNDES. Profesor del programa de posgrado en administración de la Fundação Educacional Inaciana Padre Saboia de Medeiros - FEI (CAPES - nivel 5), donde dirige disertaciones de maestría y tesis doctorales.

Mauro José de Oliveira, Fundação Educacional Inaciana Padre Saboia de Medeiros – FEI / São Paulo, SP

Doctor en Administración, línea de investigación, Estrategias de Mercado y Competitividad, del Centro Universitario FEI (SP), Máster en Administración, Mercados y Consumo del Centro Universitario FEI (SP), Executive MBA de la Escuela de Negocios de Brasil, Licenciatura en Matemáticas de la Unesp - Universidade Estadual Paulista Júlio de Mesquita Filho (1997) y licenciatura en Comunicación Social - Periodismo por la Unesp - Universidade Estadual Paulista - Júlio de Mesquita Filho (1996). Miembro de la American Marketing Association (EE.UU.) y Academy of Marketing (Reino Unido). Es revisor de varias revistas científicas nacionales e internacionales. Esto se puede verificar en el perfil público en el sitio web de Publons: https://publons.com/a/1341369/

Cameron Sumlin, University of Louisiana at Monroe / LA - United States

Doctorado en Administración. Asistente de investigación de posgrado en Louisiana Tech University, School of Management. Profesor Asistente de Gestión.

Citas

Agostino, D., Arnboldi, M., Lema, M., (2020), New development: COVID-19 as an accelerator of digital transformation in public service delivery. Public Money & Management, 1-4. https://doi.org/10.1080/09540962.2020.1764206

Ali., I. (2018). Personality traits, individual innovativeness, and satisfaction with life. Journal of Innovation & Knowledge, 4(1), 38–46. https://doi.org/10.1016/j.jik.2017.11.002

Alkhwaldi, A. F., Alobidyeen, B., Abdulmuhsin, A. A., & Al-Okaily, M. (2022). Investigating the antecedents of HRIS adoption in public sector organizations: integration of UTAUT and TTF. International Journal of Organizational Analysis, (ahead-of-print). https://doi.org/10.1108/IJOA-04-2022-3228

Andre, Q., Carmon, Z., Wertenbroch, K., Crum, A., Frank, D., Goldstein, W., Huber, J., Van Boven, L., Weber, B. and Yang, H. (2018). Consumer choice and autonomy in the age of artificial intelligence and big data. Customer Needs and Solutions, 5(1-2), 28-37. intelligence and big data. Customer Needs and Solutions, 5(1-2), 28-37. https://doi.org/10.1007/s40547-017-0085-8

Bankskota, S., Healy, M., and Goldberg, E.M. (2020). 15 Smartphone Apps for Older Adults to Use While in Isolation During the COVID-19 Pandemic. Western Journal of Emergency Medicine, 21(3), 514. https://doi.org/10.5811/westjem.2020.4.47372

Bargas-Avila, J.A. and Hornbæk, K. (2011). Old wine in new bottles or novel challenges: A critical analysis of empirical studies of user experience. In Proceedings of the SIGCHI conference on human factors in computing systems, 2689-2698. https://doi.org/10.1145/1978942.1979336

Bogers, T., Al-Basri, A.A.A., Rytlig, C.O., Møller, M.E.B., Rasmussen, M.J., Michelsen, N.K.B. and Jørgensen, S.G. (2019). A study of usage and usability of intelligent personal assistants in Denmark. International Conference on Information. Springer, Cham, 79-90. https://doi.org/10.1007/978-3-030-15742-5_7

Boulding, W., Morgan, R., & Staelin, R. (1997). Pulling New the Plug to Drain Stop the Product. Journal of Marketing Research, 34, 164–176. https://doi.org/10.2307/3152073

Brandt, Å., Hansen, E. M., & Christensen, J. R. (2020). The effects of assistive technology service delivery processes and factors associated with positive outcomes–a systematic review. Disability and Rehabilitation: Assistive Technology, 15(5), 590-603. https://doi.org/10.1080/17483107.2019.1682067

Brooke, J. (1996). SUS-A quick and dirty usability scale. Usability Evaluation in Industry, 189(194), 4–7. https://doi.org/10.1201/9781498710411

Brough, A.R., Martin, K.D. (2020). Consumer Privacy During (and After) the COVID-19 Pandemic. Journal of Public Policy & Marketing, 40(1), 108–110. https://doi.org/10.1177/0743915620929999

Chakrabarti, S., and Baisya, R. K. (2009). Purchase of organic food: role of consumer innovativeness and personal influence related constructs. IIMB Management Review, 21(1), 18-29.

Chung, I. H. and Cho, Y. J. (2018). Effects of innate innovativeness and product interest on product-specific consumer innovativeness. Family and Environment Research, 56(2), 167-174. https://doi.org/10.6115/fer.2018.013

Clark, L.et al. (2019). The state of speech in HCI: Trends, themes and challenges. Interacting with Computers, 31(4), 349–371. https://doi.org/10.1093/iwc/iwz016

Cowan, B.R., Pantidi, N., Coyle, D., Morrissey, K., Clarke, P., Al-Shehri, S., Earley, D. & Bandeira, N. (2017). What can I help you with? Infrequent users’ experiences of intelligent personal assistants. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, 1–12. https://doi.org/10.1145/3098279.3098539

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Dendrinos, K., & Spais, G. (2023). An investigation of selected UTAUT constructs and consumption values of Gen Z and Gen X for mobile banking services and behavioral intentions to facilitate the adoption of mobile apps. Journal of Marketing Analytics, 1-31. https://doi.org/10.1057/s41270-023-00271-1

Dickerson, M. D. & Gentry, J. W. (2002). Characteristics of Adopters and Non-Adopters of Home Computers. Journal of Consumer Research, 10(2), 225. https://doi.org/10.1086/208961

Diener, E. D., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49(1), 71-75. https://doi.org/10.1207/s15327752jpa4901_13

Dourado, M. A. D. (2018). Usability heuristics for mobile applications: a systematic review. In Proceedings of the 20th International Conference on Enterprise Information Systems ICEIS 2018, 483-494. https://doi.org/10.5220/0006781404830494

Drew, M. R., Falcone, B. & Baccus, W. L. (2018). What does the system usability scale (SUS) measure?. International Conference of Design, User Experience, and Usability. Springer, Cham, 356-366. https://doi.org/10.1007/978-3-319-91797-9_25

Foxall, G. R. (1988). Consumer innovativeness: novelty-seeking, creativity, and cognitive style. Research in Consumer Behavior, 3, 79–113.

Foxall, G. R. (1995). Cognitive styles of consumer initiators. Technovation, 15(5), 269–288. https://doi.org/10.1016/0166-4972(95)96600-X

Goldenberg, J., Lehmann, D. R., and Mazursky, D. (2001). The idea itself and the circumstances of its emergence as predictors of new product success. Management Science, 47(1), 69–84, 2001. https://doi.org/10.1287/mnsc.47.1.69.10670

Goldschmidt, K. (2020). The COVID-19 pandemic: Technology used to support the well-being of children. Journal of Pediatric Nursing, 53, 88. https://doi.org/10.1016/j.pedn.2020.04.013

Goldsmith, R. E. (2012). New developments in the diffusion of innovations. In Foxall, G., & Wells, V. (Eds.), Handbook of new developments in consumer behavior, 246–282. Edward Elgar. http://dx.doi.org/10.4337/9781849802444.00014

Goldsmith, R. E., & Foxall, G. R. (2003). The Measurement of Innovativeness. In Shavinina, L. (Ed.), The International Handbook on Innovation, 321–330. Elsevier Science.

Goldsmith, R. E., Freiden, J.B., & Eastman, J. K. (1995). The generality/specificity issue in consumer innovativeness research. Technovation, 15(10), 601–612. https://doi.org/10.1016/0166-4972(95)99328-D

Goldsmith, E. R. and Hofacker, F. C. (1991). Measuring Consumer Innovativeness. Journal of the Academy of Marketing Science, 19(3), 209. https://doi.org/10.1007/BF02726497

Goyal, S., Pillai, A., and Chauhan, S. (2021). E-governance using mobile applications: A case study of India during the COVID-19 pandemic. Australasian Journal of Information Systems, 25, 1–28. https://doi.org/10.3127/ajis.v25i0.3129

Hair, Joseph F. et al. (2009), Multivariate Data Analysis, 6 ed. New York: Pearson College Div.

Hauser, J., Tellis, G. J. & Griffin, A. (2006). Research on Innovation: A Review and Agenda for Marketing Science. Marketing Science, 25(6), 687–717. https://doi.org/10.1287/mksc.1050.0144

Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford publications.

Hayes, A. F. (2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling.

Hayes-Roth, B. & Thorndyke, P. W. (1985). Paradigms for intelligent systems. Educational Psychologist, 20(4), 231–241.

Hirschman, E. C. (1980). Innovativeness, Novelty Seeking, and Consumer Creativity. Journal of Consumer Research, 7(3), 283. https://doi.org/10.1086/208816

Hoffmann, H.-J. (2003). Jesse James Garrett: The elements of user experience-user-centered design for the Web. I-com, 2(1), 44–44. https://doi.org/10.1524/icom.2.1.44.19040

Holak, S., and Lehmann, D. R. (2002). Purchase intentions and the dimensions of innovation: An exploratory model. Journal of Product Innovation Management, 7(1), 59–73.

Hsieh, Sara H. and Lee, Crystal T. (2021). Hey Alexa: examining the effect of

perceived socialness in usage intentions of AI assistant-enabled smart speaker. Journal of Research in Interactive Marketing, 15(2), 267-294. https://doi.org/10.1108/JRIM-11-2019-0179

Hultink, E. J., Hart, S., Robben, H.S., and Griffin, A. (2000). Launch decisions and new product success: an empirical comparison of consumer and industrial products. Journal of Product Innovation Management: An international publication of the Product Development & Management Association, 17(1), 5–23. https://doi.org/10.1111/1540-5885.1710005

Hussain, S. & Rashidi, M. Z. (2017). Consumer innovativeness leading to innovation adoption. Pakistan Business Review, 17(3), 562–580.

Im, S., Bayus, B. L., and Mason, C. H. (2003). An empirical study of innate consumer innovativeness, personal characteristics, and new-product adoption behavior. Journal of the Academy of Marketing Science, 31(1), 61–73. https://doi.org/10.1177/0092070302238602

Im, S., Mason, C. H., & Houston, M. B. (2007). Does innate consumer innovativeness relate to new product/service adoption behavior? The intervening role of social learning via vicarious innovativeness. Journal of the Academy of Marketing Science, 35(1), 63–75. https://doi.org/10.1007/s11747-006-0007-z

Jeong, S. C.. Kim, S.H., Park, J.Y. and Choi, B. (2017), Domain-specific innovativeness, and new product adoption: A case of wearable devices. Telematics and Informatics, 34(5), 399–412. https://doi.org/10.1016/j.tele.2016.09.001

Jordan, M. I. (2019). Artificial intelligence—the revolution hasn’t happened yet. Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.f06c6e61

Kaushik, A. K. and Rahman, Z. (2014). Perspectives and dimensions of consumer innovativeness: A literature review and future agenda. Journal of International Consumer Marketing, 26(3), 239-263. https://doi.org/10.1080/08961530.2014.893150

Kim, R. Y. (2020). The Impact of COVID-19 on Consumers: Preparing for Digital Sales. IEEE Engineering Management Review, 48(3), 212–218. https://doi.org/10.1109/EMR.2020.2990115

Kim, W., DI, BENEDETTO, C. A. and Hunt, J. M. (2017). Consumer innovativeness and international consumer behavior: Comments and extensions. Journal of Global Scholars of Marketing Science, 27(3), 184-194. https://doi.org/10.1080/21639159.2017.1318668

Kujala, S. and Miron-Shatz, T. (2013). Emotions, experiences, and usability in real-life mobile phone use. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1061-1070. https://doi.org/10.1145/2470654.2466135

Ladeira, W., De Santini, F.O., Sampaio, C.H. & Araujo, C.F. (2016). Experiential value and domain-specific innovativeness during freemium game usage: effects on child well-being. Young Consumers, 17(1), 64-77. https://doi.org/10.1108/YC-07-2015-00538

Law, E. LC and Van Schaik, P. (2010), Modelling user experience – An agenda for research and practice. Interacting with Computers, 22(5), 313-322. https://doi.org/10.1016/j.intcom.2010.04.006

Leavitt, C. & Walton, J. (1975). Development of a scale for innovativeness. SCHLINGER, M. J.; ARBOR, A. (ed.). North American Advances in Consumer Research. Chicago: Leo Burnett Company, 2, 545–554.

Lewis, J. R. (2018). Measuring perceived usability: The CSUQ, SUS, and UMUX. International Journal of Human-Computer Interaction, 34(12), 1148–1156. https://doi.org/10.1080/10447318.2017.1418805

Li, B., Wu, Y., Hao, Z., Yan, X. and Chen, B. (2019). The effects of trust on life satisfaction in the context of WeChat use. Telematics and Informatics, 42, 101241. https://doi.org/10.1016/j.tele.2019.101241

Li, S. Wang, Y, Xue, J, Zhao, N and Zhu, T. (2020). The impact of COVID-19 epidemic declaration on psychological consequences: a study on active Weibo users. International Journal of Environmental Research and Public Health, 17(6). https://doi.org/10.3390/ijerph17062032

Lopez, G., Quesada, L., Guerrero, L. A. (2017). Alexa vs. Siri vs. Cortana vs. Google Assistant: a comparison of speech-based natural user interfaces. International Conference on Applied Human Factors and Ergonomics. Springer, Cham, 241-250. https://doi.org/10.1007/978-3-319-60366-7_23

Lotera, C., Nica, A. S., and Mitoiu, I. B. (2019). Relearning Life: A Study on Learning Experience and Life Satisfaction while Recovering. The International Scientific Conference eLearning and Software for Education. “Carol I” National Defense University, 2019 495-500. https://doi.org/10.12753/2066-026X-19-065

Lui, M.D.L.C, De Oliveira, M., Bernardes, R. C., Borini, F. M., & Rodrigo, P. (2022). Moderation of the Dimensions of Innovativeness in the Usability of Services Based on Intelligent Personal Assistants. International Journal of Innovation and Technology Management, 19(05), 2241009. https://doi.org/10.1142/S0219877022410097

McMahan, C., Hovland, R. & McMillan, S. (2009). Online marketing communications: Exploring online consumer behavior by examining gender differences and interactivity within internet advertising. Journal of Interactive Advertising, 10(1), 61–76. https://doi.org/10.1080/15252019.2009.10722163

Mansori, S., Sambasivan, M. and Md-Sidin, S. (2015), acceptance of novel products: The role of religiosity, ethnicity, and values. Marketing Intelligence and Planning, 33(1), 39–66. https://doi.org/10.1108/MIP-03-2013-0050)

Martin, C., Aldea, A., Duce, D., Harrison, R., & Alshaigy, B. (2018). The Role of Usability Engineering in the Development of an Intelligent Decision Support System. International Workshop on Artificial Intelligence in Health. Springer, Cham. 142–161. https://doi.org/10.1007/978-3-030-12738-1_11

Mehr, H., Ash, H. and Fellow, D. (2017). Artificial intelligence for citizen services and government. Ash Cent. Democr. Gov. Innov. Harvard Kennedy Sch., August, 1-12.

Midgley, D. F. & Dowling, G. R. (1978). Innovativeness: The Concept and Its Measurement. Journal of Consumer Research, 4(4), 229. https://doi.org/10.1086/208701

Midgley, D.F. & Dowling, G.R. (1993). Longitudinal Study of Product Form Innovation: The Interaction between Predispositions and Social Messages. Journal of Consumer Research, 19(4), 611. https://doi.org/10.1086/209326

Miner, A.S., Laranjo, L. and Kocaballi, A. B. (2020). Chatbots in the fight against the COVID-19 pandemic. NPJ Digital Medicine, 3(1), 1-4. https://doi.org/10.1038/s41746-020-0280-0

Neckel, A. and Boeing, R. (2017). Relation between Consumer Innovativeness Behavior and Purchasing Adoption Process: A Study with Electronics Sold Online. International Journal of Marketing Studies, 9(3), 64–75. http://doi.org/10.5539/ijms.v9n3p64

Oesterreich, T. D., Anton, E., Schuir, J., Brehm, A., & Teuteberg, F. (2023). How can I help you? Design principles for task-oriented speech dialog systems in customer service. Information Systems and e-Business Management, 21(1), 37-79. https://doi.org/10.1007/s10257-022-00570-7

Paesano, A. (2023). Artificial intelligence and creative activities inside organizational behavior. International Journal of Organizational Analysis, 31(5), 1694-1723. https://doi.org/10.1108/IJOA-09-2020-2421

Park, C., & Jun, J. K. (2003). A cross‐cultural comparison of Internet buying behavior: Effects of Internet usage, perceived risks, and innovativeness. International Marketing Review, 20(5), 534-553. https://doi.org/10.1108/02651330310498771

Palacio, R. R. Acosta, C.O., Cortez, J. and Morán, A.L. (2017). Usability perception of different video game devices in elderly users. Universal Access in the Information Society, 16(1), 103–113. https://doi.org/10.1007/s10209-015-0435-y

Patchunka, C. (2018). Netflix Killed the Cable TV Star: Cable TV Is Definitionally Disadvantaged for Use of Artificial Intelligence. Fed. Comm. LJ, 71, 275.

Peters, D., Calvo, R. A. and Ryan, R. M. (2018). Designing for motivation, engagement, and well-being in digital experience. Frontiers in Psychology, 9, 797. https://doi.org/10.3389/fpsyg.2018.00797

Riedl, R., Stieninger, M., Muehlburger, M., Koch, S., & Hess, T. (2023). What is digital transformation? A survey on the perceptions of decision-makers in business. Information Systems and e-Business Management, 1-35. https://doi.org/10.1007/s10257-023-00660-0

Roehrich, G. (2004). Consumer innovativeness: Concepts and measurements. Journal of business research, 57(6), 671–677. https://doi.org/10.1016/S0148-2963(02)00311-9

Rogers, E.M. (2003). Diffusion of Innovation. 5 ed. New York: Free Press.

Satici, B., Gocet-Tekin, E., Deniz, M.E. and Satici, S.A. (2020). Adaptation of the Fear of COVID-19 Scale: Its association with psychological distress and life satisfaction in Turkey. International Journal of Mental Health and Addiction, 1–9. https://doi.org/10.1007/s11469-020-00294-0

Schwaiger, J., Hammerl, T., Florian, J., & Leist, S. (2021). UR: SMART–A tool for analyzing social media content. Information Systems and e-Business Management, 19, 1275-1320. https://doi.org/10.1007/s10257-021-00541-4

Soscia, I., Arbore, A., Hofacker, C. F. (2011), The impact of the trial on technology adoption: the case of mobile TV. Journal of Research in Interactive Marketing, 5(2/3), 226–238. https://doi.org/10.1108/17505931111187820

Steenkamp, JB E. M., Hofstede, F T. and Wedel, M. (1999), A Cross-National Investigation into the Individual and National Cultural Antecedents of Consumer Innovativeness. Journal of Marketing, 63(2), 55-69. https://doi.org/10.1177/002224299906300204

Summers, J. O. (1971). Generalized change agents and innovativeness. Journal of Marketing Research, 8(3), 313–316. https://doi.org/10.1177/002224377100800305

Vandecasteele, B. and Geuens, M. (2010). Motivated consumer innovativeness: Concept, measurement, and validation. International Journal of Research in Marketing, 27(4), 308-318. https://doi.org/10.1016/j.ijresmar.2010.08.004

Venkatesh, V. Morris, M.G., Davis, G.B. and Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478. https://doi.org/10.2307/30036540

Venkatesh, V., Thong, J. and Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412

Wang, Y., Forbes, R., Cavigioli, C., Wang, H., Gamelas, A., Wade, A., Strassner, J., Cai, S. and Liu, S. (2018). Network management and orchestration using artificial intelligence: Overview of ETSI ENI. IEEE Communications Standards Magazine, 2(4), 58–65. https://doi.org/10.1109/MCOMSTD.2018.1800033

Zhang, S. X., Wang, Y., Rauch, A. and Wei, F. (2020). Unprecedented disruption of lives and work: Health, distress and life satisfaction of working adults in China one month into the COVID-19 outbreak. Psychiatry Research, 112958. https://doi.org/10.1016%2Fj.psychres.2020.112958

Publicado

2024-11-19

Cómo citar

Lui, M. de la C., Bernardes, R. C., Oliveira, M. J. de, & Sumlin, C. (2024). Más allá de la usabilidad: la innovación en la era digital como antídoto al aislamiento social. International Journal of Innovation – IJI, 12(3), e26088. https://doi.org/10.5585/2024.26088

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