From Digital Divide to Psycho-digital Divide: Elders and Online Social Networks

Peral-Peral, Begoña and Arenas-Gaitán, Jorge and Villarejo-Ramos, Ángel-Francisco From Digital Divide to Psycho-digital Divide: Elders and Online Social Networks. Comunicar, 2015, vol. 23, n. 45, pp. 57-64. [Journal article (Paginated)]

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English abstract

The present study analyzes the evolution of the concept of the digital gap with the elderly from the perspective of active ageing and in the context of the use of online social networks as a communication instrument. We consider that socio-demographic variables are not enough to explain the elderly’s use or non-use of Information and Communication Technologies (ICT). Psychological variables, such as cognitive age, technology anxiety and the level of adventurousness complement the former and can even explain more the elderly person’s behaviour regarding the use of online social networks. The results come from a sample of elderly people who are students of an Experience Classroom in a university. They allow us to confirm that our doubts about the stereotype of the elderly concerning the digital divide are correct and that the psychological variables serve to a greater extent to show the significant differences with respect to determining their profile. The elderly user of online social networks feels younger, experiences a lower level of technology anxiety and is more adventurous. In general, psychological characteristics therefore offer a more discriminant power than those that are socio-demographic. This is why we propose the concept of a psycho-digital divide.

Spanish abstract

En el presente estudio analizamos la evolución del concepto de la brecha digital para los mayores desde la perspectiva del envejecimiento activo y en el contexto de la utilización de las redes sociales como instrumento de comunicación. Consideramos que las variables socio-demográficas no tienen suficiente poder para explicar la utilización o no de las tecnologías de la comunicación (TIC) por los mayores. Las variables de corte psicológico, como la edad cognitiva, la ansiedad tecnológica o el nivel de audacia complementan a las anteriores, e incluso, pueden ser más explicativas del comportamiento del mayor con relación a la utilización de redes sociales. Los resultados provenientes de una muestra de mayores, alumnos del Aula de Experiencia de una universidad, nos permiten confirmar que nuestras dudas acerca del estereotipo de los mayores respecto a la brecha digital son acertadas y que las variables psicológicas sirven, en mayor grado, para mostrar las diferencias significativas existentes entre usuarios y no usuarios de redes sociales en cuanto a la determinación del perfil de los mismos. El usuario mayor de redes sociales se siente más joven, experimenta un menor nivel de ansiedad tecnológica y es más audaz. En general, las características psicológicas ofrecen, por tanto, mayor poder discriminante que las socio-demográficas, por ello proponemos el concepto de brecha psico-digital.

Item type: Journal article (Paginated)
Keywords: Elders, digital divide, active ageing, cognitive age, technology anxiety, venturesomeness, ICT, online social networks
Subjects: C. Users, literacy and reading.
Depositing user: Alex Ruiz
Date deposited: 25 Jul 2015 15:09
Last modified: 25 Jul 2015 15:09
URI: http://hdl.handle.net/10760/25446

References

Agudo, S., Pascual, M.A., & Fombona, J. (2012). Usos de las herramientas digitales entre las personas mayores. Comunicar, 39, XX, 193-201. DOI: http://dx.doi.org/10.3916/C39-2012-03-10

Barak, B. (2009). Age identity: A Cross-cultural Global Approach. International Journal of Behavioral Development, 33(1), 2-11. DOI: http://dx.doi.org/10.1177/0165025408099485

Barak, B., & Gould, S. (1985). Alternative Age Measures: A Research Agenda. In E.C. Hirschman, & M.B. Holbrook. (Eds.). Advances in Consumer Research. Provo, UT: Association for Consumer Research, 12, 53-58.

Barak, B., & Rahtz, D.R. (1990). Cognitive Age: Demographic and Psychographic Dimensions. Journal of Ambulatory Care Marketing, 3(2), 51-65. DOI: http://dx.doi.org/10.1300/J273v03n02_06

Barak, B., Guiot, D., Mathur, A., Zhang, Y., & Lee, K. (2011). An Empirical Assessment of Cross-Cultural Age Self-Construal Measurement: Evidence from Three Countries. Psychology & Marketing, 28(5), 479-495. DOI: http://dx.doi.org/10.1002/mar.20397

Braun, M.T. (2013). Obstacles to Social Networking Website Use among Older Adults. Computers in Human Behavior, 29(3), 673-680. DOI: http://dx.doi.org/10.1016/j.chb.2012.12.004

Chantal, Y., & Vallerand, R.J. (1996). Skill versus Luck: A Motivational Analysis of Gambling Involvement. Journal of Gambling Studies, 12(4), 407-418.

Chen, K., & Chan, A.H. (2014). Predictors of Gerontechnology Acceptance by Older Hong Kong Chinese. Technovation, 34(2), 126-135. DOI: http://dx.doi.org/10.1016/j.technovation.2013.09.010

Chua, S.L., Chen, D.-T. & Wong, A.F. (1999). Computer Anxiety and its Correlates: A Meta-analysis. Computers in Human Behavior, 15(5), 609-623. DOI: http://dx.doi.org/10.1016/S0747-5632(99)00039-4

Clarke, D. (2004). Impulsiveness, Locus of Control, Motivation and Problem Gambling. Journal of Gambling Studies, 20(4), 319-345.

Curran, J.M., & Lennon, R. (2013). Comparing Younger an Older Social Network Users: An Examination of Attitudes and Intentions. The Journal of American Academy of Business, 19(1), 28-37.

Dabholkar, P.A., & Bagozzi, R.P. (2002). An Attitudinal Model of Technology-based Self-service: Moderating Effects of Consumer Traits and Situational Factors. Journal of the Academy Marketing Science, 30(3), 184-201. DOI: http://dx.doi.org/10.1177/0092070302303001

Dean, D.H. (2008). Shopper Age and the Use of Self-service Technologies. Managing Service Quality, 18(3), 225-238. DOI: http://dx.doi.org/10.1108/09604520810871856

Dyck, J.L., & Smither, J.A. (1994). Age Differences in Computer Anxiety: The Role of Computer Experience, Gender and Education. Journal of Educational Computing Research, 10(3), 238-248. DOI: http://dx.doi.org/10.2190/E79U-VCRC-EL4E-HRYV

Eastman, J.K., & Iyer, R. (2005). The Impact of Cognitive Age on Internet Use of the Elderly: An Introduction to the Public Policy Implications. International Journal of Consumer Studies, 29(2), 125-136. DOI: http://dx.doi.org/10.1111/j.1470-6431.2004.00424.x

Fritsch, T., Steinke, F. & Silbermann, L. (2013). Communication in Web 2.0: A Literature Review about Social Network Sites for Elderly People. Proceedings of the IADIS International Conference ICT, Society and Human. Beings 2013,

Gelbrich, K., & Sattler, B. (2014). Anxiety, Crowding, and Time Pressure in Public Self-service Technology Acceptance. Journal of Services Marketing, 28(1), 82-94. DOI: http://dx.doi.org/10.1108/JSM-02-2012-0051

Guo, X., Sun, Y., Wang, N., Peng, Z., & Yan, Z. (2013). The Dark Side of Elderly Acceptance of Preventive Mobile Health Services in China. Electronic Markets, 23(1), 49-61. DOI: http://dx.doi.org/10.1007/s12525-012-0112-4

Hong, S.J., Lui, C.S.M., Hahn, J., Moon, J.Y., & Kim. T.G. (2013). How Old Are You Really? Cognitive Age in Technology Acceptance. Decision Support Systems, 56, 122-130. DOI: http://dx.doi.org/10.1016/j.dss.2013.05.008

IMSERSO (Ed.) (2011a). Libro Blanco para el Envejecimiento Activo. Madrid: Instituto de Mayores y Servicios Sociales. (http://goo.gl/YuqDjh) (13-10-2014).

IMSERSO (Ed.) (2011b). Programa de Trabajo 2012, Año Europeo del Envejecimiento Activo y de la Solidaridad Intergeneracional. Madrid: Instituto de Mayores y Servicios Sociales. (http://goo.gl/9tyqmY) (13-10-2014).

Ji, Y.G., Choi, J., & al. (2010). Older Adults in an Aging Society and Social Computing: A Research Agenda. International Journal of Human-Computer Interaction, 26, 11-12, 1122-1146. DOI: http://dx.doi.org/10.1080/10447318.2010.516728

Leist, A.K. (2013). Social Media Use of Older Adults: a Mini-Review. Gerontology, 59, 378-384. DOI: http://dx.doi.org/10.1159/000346818

Liébana, F., Villarejo, A.F., & Sánchez-Franco, M.J. (2014). Mobile Social Commerce Acceptance Model: Factors and Influences on Intention to Use S-Commerce. Congreso Marketing Aemark 2014. Madrid: ESIC.

Martínez, R., Cabecinhas, R., & Loscertales, F. (2011). Mayores universitarios en la Red. Comunicar, 37, XIX, 89-95. DOI: http://dx.doi.org/10.3916/C37-2011-02-09

Mathur, A., & Moschis, G.P. (2005). Antecedents of Cognitive Age: A Replication and Extension. Psychology & Marketing, 22, 969-994. DOI: http://dx.doi.org/10.1002/mar.20094

Mathur, A., Sherman, E., & Schiffman, L.G. (1998). Opportunities for Marketing Travel Services to New-Age Elderly. Journal of Services Marketing, 12, 4, 265-277. DOI: http://dx.doi.org/10.1108/08876049810226946

Meuter, M.L., Ostrom, A.L., Bitner, M.J., & Roundtree, R. (2003). The Influence of Technology Anxiety on Consumer Use and Experiences with Self-service Technologies. Journal of Business Research, 56(11), 899-906. DOI: http://dx.doi.org/10.1016/S0148-2963(01)00276-4

Moschis, G.P., & Mathur, A. (2006). Older Consumer Responses to Marketing Stimuli: The Power of Subjective Age. Journal of Advertising Research, 46(3), 339-346.

Niemelä, J. (2007). Baby Boom Consumers and Technology: Shoot

OECD (2001). Understanding the Digital Divide. París: Organisation for Economic Cooperation and Development. (http://goo.gl/BrF4zu) (22-01-2015).

OMS (Ed.) (2002). Active Ageing: A Policy Framework. Organización Mundial de la Salud. (http://goo.gl/oG5w8M) (13-10-2014).

Peters, G.R. (1971). Self-conceptions of the Aged, Age Identification, and Aging. The Gerontologist, 11(4 part. 2), 69-73. DOI: http://dx.doi.org/10.1093/geront/11.4_Part_2.69

Pfeil, U., Arjan, R., & Zaphiris, P (2009). Age Differences in Online Social Networking – A Study of User Profiles and the Social Capital Divide among Teenagers and Older Users in MySpace. Computers in Human Behavior, 25, 643-654. DOI: http://dx.doi.org/10.1016/j.chb.2008.08.015

Ramón, M.A., Peral, B., & Arenas, J. (2013). Elderly Persons and Internet Use. Social Science Computer Review, 31(4), 389-403. DOI: http://dx.doi.org/10.1177/0894439312473421

Reisenwitz, T., & Iyer, R. (2007). A Comparison of Younger and Older Baby Boomers: Investigating the Viability of Cohort Segmentation. Journal of Consumer Marketing, 24(4), 202-213. DOI: http://dx.doi.org/10.1108/07363760710755995

Rogers, E.M. (2003). Diffusion of Innovations. New York: Free Press.

Schiffman, L.G., & Sherman, E. (1991). Value Orientations of New-age Elderly. The Coming of an Ageless Market. Journal of Business Research, 22(2), 187-194. DOI: http://dx.doi.org/10.1016/01482963(91)90052-Y

Siu, N.Y-M., & Cheng, M.M-S. (2001). A Study of the Expected Adoption of Online Shopping. The Case of Hong Kong. Journal of International Consumer Marketing, 13(3), 87-106. DOI: http://dx.doi.org/10.1300/J046v13n03_06

Spielberger, C. (1966). Theory and Research on Anxiety. In Spielberger, C. (Ed.), Anxiety and Behavior. (pp. 3-20). New York, NY: Academic Press.

Sudbury, L., & Simcock, P. (2009a). Understanding Older Consumers through Cognitive Age and the List of Values: A U.K. based Perspective. Psychology and Marketing, 26(1), 22-38. DOI: http://dx.doi.org/10.1002/mar.20260

Sudbury, L., & Simcock, P. (2009b). A Multivariate Segmentation Model of Senior Consumers. Journal of Consumer Marketing, 26(4), 251-262. DOI: http://dx.doi.org/10.1108/07363760910965855

Szmigin, I., & Carrigan, M. (2000). The Older Consumer as Innovator: Does Cognitive Age Hold the Key? Journal of Marketing Management, 16(5), 505-527. DOI: http://dx.doi.org/10.1362/026725700785046038

Teuscher, U. (2009). Subjective age bias: A Motivational and Information Processing Approach. International Journal of Behavioral Development, 33(1), 22-31. DOI: http://dx.doi.org/10.1177/0165025408099487

Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 342-365.

Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User Acceptance of Information Technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.

Wei, S.C. (2005). Consumer’s Demographic Characteristics, Cognitive Ages, and Innovativeness. Advances in Consumer Research, 32, 633-640.

World Economic Forum, WEF (2011). Global Population Ageing: Peril or Promise? Global Agenda Council on Ageing Society. (http://goo.gl/f65RVZ) (13-10-2014).

Zhao, X., Mattila, A.S., & Tao, L.-S.E. (2008). The Role of Post-training Self-efficacy in Customers’ use of Self-service Technologies. International Journal of Service Industry Management, 19(4), 492-505. DOI: http://dx.doi.org/10.1108/09564230810891923


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