The Conditional Indirect Effect of Performance Expectancy in the Use of Facebook, Google+, Instagram and Twitter by youngsters

Authors

DOI:

https://doi.org/10.4185/RLCS-2017-1181

Keywords:

ICT, social media, innovation, adoption, use, youth, performance expectancy

Abstract

Previous studies have found a strong relationship between the degree to which individuals believe a technology helps to gain performance (performance expectancy) and the use of that technology. However, there is little empirical research that tests the mechanisms and conditions through which this effect operates in the adoption of social media by youngsters. Methods: We surveyed 502 students from Colombia and run a moderated mediation analysis to check conditional indirect effects. Results and conclusions: Data revealed high adoption rates (68%) of popular social media (Facebook, Google+, Instagram and Twitter) and, consistent with the Unified Theory of Acceptance and Use of Technology (UTAUT), results showed that the conditional indirect effect of performance expectancy in the use of social media is a relevant predictor with weights up to 0.53. This effect is mediated by the behavioral intention, but only in some cases moderated by age and gender.

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Author Biographies

Carlos Arcila Calderón, University of Salamanca

Professor and Academic Secretary of the Department of Sociology and Communication of the University of Salamanca (Spain). Member of the Audiovisual Content Observatory (OCA) and professor of the Doctorate in Training in the Knowledge Society. Editor of the Electronic Yearbook of Studies in Social Communication "Dissertations". European Doctor in "Communication, Social Change and Development" from the Complutense University of Madrid. Master in Data Science and Master in Journalism, both from the Rey Juan Carlos University (URJC). I have been a professor at the Universidad del Rosario (Colombia), the Universidad del Norte (Colombia), the Universidad de Los Andes (ULA) (Venezuela); URJC post-doctoral researcher; and associate researcher at the Andrés Bello Catholic University (UCAB) (Venezuela). In addition, I have been a visiting professor at the National University of Distance Education (UNED) (Spain), the University of La Sabana (Colombia), the University of Santiago de Compostela (Spain), the Mayor University (Chile) and the State University Paulista (Brazil).

Marcela López, University of the Coast

Social Communicator, Marketing Specialist. Master in Communication in the line of new technologies and digital citizenship. PhD candidate in Communication at the University of Seville, in the journalism line: political communication and social networks.

References

Agarwal, R. y Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665–694. DOI: https://doi.org/10.2307/3250951

Akbulut, Y. y Günüç, S. (2012). Perceived Social Support and Facebook Use among Adolescents. International Journal of Cyber Behavior, Psychology and Learning, 2(1), 30-41. DOI: https://doi.org/10.4018/ijcbpl.2012010103

Akram, M. S. y Albalawi, W. (2016). Youths' Social Media Adoption: Theoretical Model and Empirical Evidence. International Journal of Business and Management. 11(2), 22-30 DOI: https://doi.org/10.5539/ijbm.v11n2p22

Arcila, C., Calderín, M. y Aguaded, I. (2015). Adoption of ICTs by Communication Researchers for Scientific Diffusion and Data Analysis. El Profesional de la Información, 24(5). DOI: https://doi.org/10.3145/epi.2015.sep.03

Aydn, B. y Volkan Sar, S. (2011). Internet addiction among adolescents: the role of self-esteem. Procedia Social and Behavioral Sciences, 15, 3500–3505. DOI: https://doi.org/10.1016/j.sbspro.2011.04.325

Ben, M. (2016). Futuro Digital Colombia 2016. Trabajo presentado en IAB Day Colombia. Agosto 28,

Bringué, X. y Sádaba, C. (2008). Generación Interactiva en Iberoamérica. Niños y adolescentes frente a las pantallas. Retos educativos y sociales. Barcelona: Ariel, Colección Fundación Telefónica.

Bringué, X. y Sádaba, C. 2011. Menores y redes sociales. Madrid: Foro generaciones interactivas.

Cázares, A. (2010). Proficiency and attitudes toward information technologies' use in psychology undergraduates. Computers in Human Behavior, 26(5), 1004-1008. DOI: https://doi.org/10.1016/j.chb.2010.02.015

Cheung, C. M., Chiu, P. Y. y Lee, M. K. (2011). Online social networks: Why do students use Facebook? Computers in Human Behavior, 27, 1337–1343 DOI: https://doi.org/10.1016/j.chb.2010.07.028

Cheung, C. M. y Lee, M. K. (2010). A theoretical model of intentional social action in online social networks. Decision Support Systems, 49, 24–30 DOI: https://doi.org/10.1016/j.dss.2009.12.006

Claggett, J. L. y Goodhue, D. L. (2011). Have IS researchers lost bandura's self-efficacy concept? A discussion of the definition and measurement of computer self-efficacy. Trabajo presentado en 44th Hawaii International Conference on System Sciences (HICSS). DOI: https://doi.org/10.1109/HICSS.2011.219

Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ: Erlbaum.

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. DOI: https://doi.org/10.1007/BF02310555

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-339. DOI: https://doi.org/10.2307/249008

Davis, F. D., Bagozzi, R. P. y Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22(14), 1111- 1132. DOI: https://doi.org/10.1111/j.1559-1816.1992.tb00945.x

Duggan, M. (2015). Mobile Messaging and Social Media – 2015. Recuperado de http://www.pewinternet.org/2015/08/19/mobile-messaging-and-social-media-2015/

Faul, F., Erdfelder, E., Buchner, A. y Lang, A. (2009). Statistical power analysis using G*Power 3.1: Tests for correlation and regression analysis. Behavior Research Methods, 41(4), 1149-1160 http://dx.doi.org/10.3758/BRM.41.4.1149 DOI: https://doi.org/10.3758/BRM.41.4.1149

Faul, F., Erdfelder, E., Lang, A. & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175-191, http://dx.doi.org/10.3758/BF03193146 DOI: https://doi.org/10.3758/BF03193146

Hall, D. y Mansfield, R. (1995). Relationships of Age and Seniority with Career Variables of Engineers and Scientists. Journal of Applied Psychology, 60(2), 201-210. DOI: https://doi.org/10.1037/h0076549

Hayes, A. (2005). Statistical Methods for Communication Science. Mahwah, NJ: Lawrence Erlbaum Associates. ISBN: 978-0805854879

Hayes, A. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression based approach. New York: Guilford Press.

Igartua, J. J. (2006). Métodos Cuantitativos de Investigación en Comunicación. Madrid: Editorial Bosch.

Jackson, C. M., Chow, S. y Leitch, R. A. (1997). Toward an understanding of the behavioral intention to use an information system. Decision Sciences, 28(2), 357-389. DOI: https://doi.org/10.1111/j.1540-5915.1997.tb01315.x

Kemp, S. (2017). Digital, Social and Mobile in 2017. We are social, January 2017 Recuperado de https://wearesocial.com/blog/2017/01/digital-in-2017-global-overview

Lin, K. Y. y Lu, H. P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27, 1152–1161 DOI: https://doi.org/10.1016/j.chb.2010.12.009

Mac Callum, K. y Jeffrey, L. (2013). The influence of students' ICT skills and their adoption of mobile learning. Australasian Journal of Educational Technology, 29(3), 303-314. DOI: https://doi.org/10.14742/ajet.298

Macía-Sepúlveda, F. (2010). Validez de los tests y el análisis factorial: nociones generales, Ciencia y Trabajo, 12(35), 276-280.

Mander, J. (2016). GWI Social Summary. Recuperado de https://www.globalwebindex.net/hubfs/Reports/GWI_Social_-_Q1_2016_Summary.pdf

Minton, H. L. y Schneider, F. W. (1980). Differential Psychology. Waveland Press, Prospect Heights, IL.

Notley, T. (2009). Young People, Online Networks, and Social Inclusion. Journal of Computer-Mediated Communication, 14, 1208-1227. DOI: https://doi.org/10.1111/j.1083-6101.2009.01487.x

Pérez-Gil, J., Chacón, S. y Moreno, R. (2000). Validez de constructo: El uso de análisis factorial exploratorio-confirmatorio para obtener evidencias de validez. Psicothema, 12(2), 442-446.

Porter, L. (1963). Job Attitudes in Management: Perceived Importance of Needs as a Function of Job Level. Journal of Applied Psychology, 47(2), 141-148 DOI: https://doi.org/10.1037/h0041677

Quinlan, S., Gummer, T., Roßmann, J. & Wolf, C. (2017). ‘Show me the money and the party!’–variation in Facebook and Twitter adoption by politicians. Information, Communication & Society, 1-19. DOI: https://doi.org/10.1080/1369118X.2017.1301521

Subrahmanyam, K. y Lin, G. (2007). Adolescents on the net: internet use and wellbeing. Adolescence, 42(168), 659-677

Valkenburg, P. M. y Peter, J. (2007). Preadolescents and Adolescents Online Communication and their Closeness to Friends. Developmental Psychology, 43, 267-277. DOI: https://doi.org/10.1037/0012-1649.43.2.267

Venkatesh, V., Morris, M. G., Davis, G. B. y Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. DOI: https://doi.org/10.2307/30036540

Venkatesh, V., Thong, J. y 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 DOI: https://doi.org/10.2307/41410412

Wang, N. y Yongqiang, S. (2015). Social influence or personal preference? Examining the determinants of usage intention across social media with different sociability. Information Development (2015): 0266666915603224.

Yuki, T. y Marchant, I. (2014). El Estado de Social Media en América Latina. [Presentación de PowerPoint]. Recuperado de https://www.comscore.com/esl/Insights/Presentations-and-Whitepapers/2014/The-State-of-Social-Media-in-Latin-America-and-the-Metrics-that-Really-Matter

Zhang, P., Aikman, S. N. y Sun, H. (2008). Two Types of Attitudes in ICT Acceptance and Use. Journal of Human Computer Interaction, 24(7), 628–648. DOI: https://doi.org/10.1080/10447310802335482

Zheng, R. y Cheok, A. (2011). Singaporean Adolescents’ Perceptions of On-line Social Communication: An Exploratory Factor Analysis. Journal of Educational Computing, 45(2), 203-221. DOI: https://doi.org/10.2190/EC.45.2.e

Published

2017-06-09

How to Cite

Arcila Calderón, C. ., López, M., & Peña, J. (2017). The Conditional Indirect Effect of Performance Expectancy in the Use of Facebook, Google+, Instagram and Twitter by youngsters. Revista Latina De Comunicación Social, (72), 590–607. https://doi.org/10.4185/RLCS-2017-1181

Issue

Section

Miscellaneous