Abstract
The second-level digital divide presents differences in people’s capabilities of using information and communication technologies, especially in older adults. This paper focuses on exploring self-efficacy and anxiety in this group concerning the use of a specific e-service, Internet banking service. Considering the triadic relation proposed in social cognitive theory, we include in the model of IBS use by older adults personal characteristics, such as self-efficacy, anxiety, perceived usefulness and gender with respect to the e-service chosen. We analyse the effect of perceived risks and social influence on these self-perceptions as environmental factors. This study is centred on a survey of 474 older adults and tests the structural model proposed using PLS-SEM. The results show that there are important differences between self-efficacy and anxiety when we refer to technology in general compared with a specific e-service. Furthermore, self-efficacy positively influences the perceived usefulness and the use of IBS. We note an important role of the environment as a booster to overcome the barriers which may appear due to these self-perceptions. Finally, we find influences of older adults’ gender in the relationship put forward in the causal model.


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Agarwal, R., Sambamurthy, V., Stair, R.: The evolving relationship between general and specific computer self-efficacy: an empirical investigation. Inf. Syst. Res. 11(4), 418–430 (2000)
Akhter, S.H.: Privacy concern and online transactions: the impact of internet self-efficacy and internet involvement. J. Consum. Mark. 31(2), 118–125 (2014). https://doi.org/10.1108/JCM-06-2013-0606
Bandura, A.: Reflections on self-efficacy. In: Rachman, S. (ed.) Advances in Behavioral Research and Therapy, 1, pp. 237–269. Pergamon, Oxford (1978)
Bandura, A.: Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice-Hall Inc, Eaglewood Cliffs (1986)
Bandura, A.: Self-efficacy conception of anxiety. Anxiety Res. 1(2), 77–98 (1988). https://doi.org/10.1080/10615808808248222
Bandura, A.: Human agency in social cognitive theory. Am. Psychol. 44(9), 1175–1184 (1989)
Bandura, A.: Self-Efficacy: The Exercise of Control. Macmillan, New York (1997)
Barbeite, F.G., Weiss, E.M.: Computer self-efficacy and anxiety scales for an Internet sample: testing measurement equivalence of existing measures and development of new scales. Comput. Human Behav. 20(1), 1–15 (2004)
Barth, M., Veit, D. J. (2011). How Digital Divide affects Public E-Services: The Role of Migration Background. In: Wirtschaftinformatik Proceedings 2011. Paper 118
Bauer, R.A.: Consumer behavior as risk taking. In: Hancock, R.S. (ed.) Dynamic Marketing for a Changing World, p. 398. American Marketing Association, Chicago (1960)
Bergström, A.: Online privacy concerns: A broad approach to understanding the concerns of different groups for different uses. Comput. Hum. Behav. 53, 419–426 (2015)
Bhattacherjee, A.: Understanding information systems continuance: an expectation-confirmation model. MIS Q. 25(3), 351–370 (2001)
Blank, G., Bolsover, G., Dubois, E.: A New Privacy Paradox: Young People and Privacy on Social Network Sites. Oxford Internet Institute, University of Oxford, Oxford (2014)
Büchi, M., Just, N., Latzer, M.: Modeling the second-level digital divide: a five-country study of social differences in Internet use. N. Media Soc. 18, 9 (2015)
Cazan, A.M., Cocoradã, E., Maican, C.I.: Computer anxiety and attitudes towards the computer and the internet with Romanian high-school and university students. Comput. Hum. Behav. 55, 258–267 (2016)
Çelik, H.: Influence of social norms, perceived playfulness and online shopping anxiety on customers’ adoption of online retail shopping: an empirical study in the Turkish context. Int. J. Retail Distrib. Manag. 39(6), 390–413 (2011). https://doi.org/10.1108/09590551111137967
Charness, N., Boot, W.R.: Aging and information technology use potential and barriers. Curr. Dir. Psychol. Sci. 18(5), 253–258 (2009)
Chen, L.Y., Hsiao, B., Chern, C.C., Chen, H.G.: Affective mechanisms linking Internet use to learning performance in high school students: a moderated mediation study. Comput. Hum. Behav. 35, 431–443 (2014). https://doi.org/10.1016/j.chb.2014.03.025
Chen, K., Chan, A.H.: Predictors of gerontechnology acceptance by older Hong Kong Chinese. Technovation 34(2), 126–135 (2014)
Chen, R., He, F.: Examination of brand knowledge, perceived risk and consumers’ intention to adopt an online retailer. Total Qual. Manag. Bus. Excell. 14(6), 677–693 (2003)
Chu, R.J.C.: How family support and Internet self-efficacy influence the effects of e-learning among higher aged adults–analyses of gender and age differences. Comput. Educ. 55(1), 255–264 (2010)
Chua, S.L., Chen, D.-T., Wong, A.F.: Computer anxiety and its correlates: a meta-analysis. Comput. Hum. Behav. 15(5), 609–623 (1999)
Chung, J., Park, N., Wang, H., Fulk, J., McLaughlin, M.: Age differences in perceptions of online community participation among non-users: an extension of the technology acceptance model. Comput. Hum. Behav. 26, 1674–1684 (2010). https://doi.org/10.1016/j.chb.2010.06.016
Compeau, D.R., Higgins, C.A.: Computer self-efficacy: development of a measure and initial test. MIS Q. 1, 189–211 (1995)
Compeau, D., Higgins, C.A., Huff, S.: Social cognitive theory and individual reactions to computing technology: a longitudinal study. MIS Q. 23(2), 145–158 (1999)
Czaja, S.J., Charness, N., Fisk, A.D., Hertzog, C., Nair, S.N., Rogers, W.A., Sharit, J.: Factors predicting the use of technology: findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE). Psychol. Aging 21(2), 333 (2006)
Damant, J., Knapp, M.: What are the Likely Changes in Society and Technology Which will Impact upon the Ability of Older Adults to Maintain Social (extra-familial) Networks of Support Now, in 2025 and in 2040? Future of Ageing: Evidence Review. Government Office for Science, London (2015)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1, 319–340 (1989)
Dewan, S., Riggins, F.J.: The digital divide: current and future research directions. J. Assoc. Inf. Syst. 6(12), 298–337 (2005)
Doyle, J., Bailey, C., Scanaill, C.N., van den Berg, F.: Lessons learned in deploying independent living technologies to older adults’ homes. Univ. Access Inf. Soc. 13(2), 191–204 (2014). https://doi.org/10.1007/s10209-013-0308-1
Eastin, M.A.: Diffusion of e-commerce: an analysis of the adoption of four e-commerce activities. Telemat. Inf. 19(3), 251–267 (2002)
Eastin, M.A., LaRose, R.L.: Internet self-efficacy and the psychology of the digital divide. J. Comput. Med. Commun. 6(1), JCMC611 (2000)
European Commission: Growing the European Silver Economy. Background paper (2015). Retrieved April 2019 http://ec.europa.eu/research/innovation-union/pdf/active-healthy-ageing/silvereco.pdf
European Commission: Independent living in an ageing society through innovative ICT solutions (2016). http://cordis.europa.eu/article/id/400060-independent-living-in-an-ageing-society-through-ict_es.html. Accessed 15 Oct 2019
Eurostat: Information Society Statistics (2016). https://www.ontsi.red.es/index.php/es/indicadores. Accessed 15 Oct 2019
Featherman, M.S., Hajli, N.: Self-Service technologies and e-services risks in social commerce Era. J. Bus. Eth. 139, 1–19 (2015)
Featherman, M.S., Pavlou, P.A.: Predicting e-Services adoption: a perceived risk facets perspective. Int. J. Hum. Comput. Stud. 59(4), 451–474 (2003)
Fishbein, M., Ajzen, I.: Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading (1975)
Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18, 39–50 (1981)
Forsythe, S., Liu, C., Shannon, D., Gardner, L.C.: Development of a scale to measure the perceived benefits and risks of online shopping. J. Interact. Mark. 20(2), 55–75 (2006). https://doi.org/10.1002/dir.20061
Friemel, T.N.: The digital divide has grown old: Determinants of a digital divide among seniors. N. Media Soc. 18, 313–331 (2014)
Gelbrich, K., Sattler, B.: Anxiety, crowding, and time pressure in public self-service technology acceptance. J. Serv. Mark. 28(1), 82–94 (2014)
Guner, H., Acarturk, C.: The use and acceptance of ICT by senior citizens: a comparison of technology acceptance model (TAM) for elderly and young adults. Univ. Access Inf. Soc. (2018). https://doi.org/10.1007/s10209-018-0642-4
Guo, X., Sun, Y., Wang, N., Peng, Z., Yan, Z.: The dark side of elderly acceptance of preventive mobile health services in China. Electron. Mark. 23(1), 49–61 (2013)
Hair Jr., F., Sarstedt, J.M., Hopkins, L., Kuppelwieser, G.V.: Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. Eur. Bus. Rev. 26(2), 106–121 (2014)
Henseler, J.: PLS-MGA: A non-parametric approach to partial least squares-based multi-group analysis. In: Challenges at the Interface of Data Analysis, Computer Science, and Optimization, pp. 495–501. Springer, Berlin (2012)
Henseler, J., Hubona, G., Ray, A.: Using PLS path modeling in new technology research: updated guidelines. Ind. Manag. Data Syst. 116(1), 2–20 (2015)
Henseler, J., Ringle, C.M., Sarstedt, M.: A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43, 115–135 (2015)
Hernández, B., Jiménez, J., Martín, M.J.: Age, gender and income: do they really moderate online shopping behaviour? Online Inf. Rev. 35(1), 113–133 (2011)
Hill, W.W., Beatty, S.E., Walsh, G.: A segmentation of adolescent online users and shoppers. J. Serv. Mark. 27(5), 347–360 (2013)
Hsu, M.H., Chiu, C.M.: Internet self-efficacy and electronic service acceptance. Decis. Support Syst. 38(3), 369–381 (2004). https://doi.org/10.1016/j.dss.2003.08.001
International Telecommunication Union, ITU: Measuring the Information Society Report (2015). http://www.itu.int/en/ITUD/Statistics/Documents/publications/misr2015/MISR2015-w5.pdf. Accessed 15 Oct 2019
Karavidas, M., Lim, N.K., Katsikas, S.L.: The effects of computers on older adult users. Comput. Hum. Behav. 21(5), 697–711 (2005)
Kavathatzopoulos, I.: ICT and sustainability: skills and methods for dialogue and policy making. J. Inf. Commun. Ethics Soc. 13(1), 13–18 (2015)
Kulviwat, S., Bruner II, C.G., Neelankavil, P.J.: Self-efficacy as an antecedent of cognition and affect in technology acceptance. J. Consum. Mark. 31(3), 190–199 (2014)
Kwon, O., Wen, Y.: An empirical study of the factors affecting social network service use. Comput. Hum. Behav. 26(2), 254–263 (2010)
Lam, J.C., Lee, M.K.: Digital inclusiveness–longitudinal study of Internet adoption by older adults. J. Manag. Inf. Syst. 22(4), 177–206 (2006)
Lankton, N.K., Wilson, E.V.: Factors influencing expectations of e-health services within a direct-effects model of user satisfaction. e-Serv. J. 5(2), 85–111 (2007)
Lee, C.L., Huang, M.K.: The influence of computer literacy and computer anxiety on computer self-efficacy: the moderating effect of gender. Cyberpsychol. Behav. Soc. Netw. 17(3), 172–180 (2014)
Lee, M.-C.: Factors influencing the adoption of internet banking: an integration of TAM and TPB with perceived risk and perceived benefit. Electron. Commer. Res. Appl. 8(3), 130–141 (2009)
Lee, C., Coughlin, J.F.: PERSPECTIVE: older adults’ adoption of technology: an integrated approach to identifying determinants and barriers. J. Prod. Innov. Manag. 32(5), 747–759 (2015)
Leppel, K., McCloskey, D.W.: A cross-generational examination of electronic commerce adoption. J. Consum. Mark. 28(4), 261–268 (2011)
Macedo, I.M.: Predicting the acceptance and use of information and communication technology by older adults: an empirical examination of the revised UTAUT2. Comput. Hum. Behav. 75, 935–948 (2017). https://doi.org/10.1016/j.chb.2017.06.013
Marakas, G.M., Johnson, R.D., Palmer, J.W.: A theoretical model of differential social attributions toward computing technology: when the metaphor becomes the model. Int. J. Hum. Comput. Stud. 52(4), 719–750 (2000)
Meuter, M.L., Ostrom, A.L., Bitner, M.J., Roundtree, R.: The influence of technology anxiety on consumer use and experiences with self-service technologies. J. Bus. Res. 56(11), 899–906 (2003)
Nayak, L.U., Priest, L., White, A.P.: An application of the technology acceptance model to the level of Internet usage by older adults. Univ. Access Inf. Soc. 9(4), 367–374 (2010)
Neill, W.D., Richard, J.E.: Intranet portals: marketing and managing individuals’ acceptance and use. Australas. Mark. J. 20(2), 147–157 (2012). https://doi.org/10.1016/j.ausmj.2011.10.003
Niehaves, B., Plattfaut, R.: Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide. Eur. J. Inf. Syst. 23(6), 708–726 (2014)
Niemelä-Nyrhinen, J.: Baby boom consumers and technology: shooting down stereotypes. J. Consum. Market. 24(5), 305–312 (2007)
Organisation for Economic Cooperation and Development (OECD): Understanding the digital divide. Paris (2001). http://www.oecd.org/dataoecd/38/57/1888451.pdf. Accessed 22 Jan 2015
Page, K.L., Robson, M.J., Uncles, M.D.: Perceptions of web knowledge and usability: when sex and experience matter. Int. J. Hum. Comput. Stud. 70(12), 907–919 (2012)
Pajares, F.: Overview of social cognitive theory and of self-efficacy (2002). Retrieved Oct 2015, from http://www.emory.edu/EDUCATION/mfp/eff.html
Peral-Peral, B., Arenas-Gaitán, J., Villarejo-Ramos, Á.F.: From digital divide to psycho-digital divide: elders and online social networks. Comunicar 23(45), 57–64 (2015)
Powell, A.L.: Computer anxiety: comparison of research from the 1990s and 2000s. Comput. Hum. Behav. 29, 2337–2381 (2013)
Ringle, C.M., Wende, S. Becker, J.-M.: SmartPLS 3.2.3 Boenningstedt: SmartPLS GmbH (2015). http://www.smartpls.com. Accessed 15 Oct 2019
Rowley, J.: Understanding digital content marketing. J. Mark. Manag. 24(5–6), 517–540 (2008). https://doi.org/10.1362/026725708X325977
Scherer, R., Siddiq, F., Teo, T.: Becoming more specific: Measuring and modeling teachers’ perceived usefulness of ICT in the context of teaching and learning. Comput. Educ. 88, 202–214 (2015)
Sum, S., Mathews, R.M., Hughes, I., Campbell, A.: Internet use and loneliness in older adults. CyberPsychol. Behav. 11(2), 208–211 (2008). https://doi.org/10.1089/cpb.2007.0010
Sun, H., Zhang, P.: The role of moderating factors in user technology acceptance. Int. J. Hum. Comput. Stud. 64(2), 53–78 (2006)
Thatcher, J.B., Perrewé, P.L.: An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Q. 26(4), 381–396 (2002)
Thatcher, J., Loughry, M., Lim, J., McKnight, H.: Internet anxiety: an empirical study of the effects of personality, beliefs, and social support. Inf. Manag. 44(4), 353–363 (2007)
Torkzadeh, G., Van Dyke, T.P.: Effects of training on Internet self-efficacy and computer user attitudes. Int. J. Hum. Comput. Stud. 18(5), 479–494 (2002)
Tsai, C.H.: Integrating social capital theory, social cognitive theory, and the technology acceptance model to explore a behavioral model of telehealth systems. Int. J. Environ. Res. Public Health 11(5), 4905–4925 (2014)
Tsai, H.Y.S., Shillair, R., Cotten, S.R., Winstead, V., Yost, E.: Getting grandma online: are tablets the answer for increasing digital inclusion for older adults in the US? Educ. Gerontol. 41(10), 695–709 (2015)
United Nations: World Population Prospects. The 2017 Revision (2017). https://esa.un.org/unpd/wpp/Publications/Files/WPP2017_KeyFindings.pdf. Accessed 15 Oct 2019
Valenduc, G., Brotcorne, P., Damhuis, L., Laurent, V., Vendramin, P.: The second order digital divide. Synthesis of the research report, Programme “Society and Future”, FTU–Fondation Travail-Université (Namur) (2010). https://pdfs.semanticscholar.org/a9ca/1e36925dab7bccab514ae0523754e15565b5.pdf. Accessed 22 Jan 2015
Van Deursen, A., Van Dijk, J.: Internet skills and the digital divide. N. Media Soc. 13(6), 893–911 (2011)
Venkatesh, V.: Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inf. Syst. Res. 11(4), 342–365 (2000)
Venkatesh, V., Morris, M.G.: Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Q. 24(1), 115–139 (2000)
Venkatesh, V., Davis, F.D.: A model of the antecedents of perceived ease of use: development and test. Decis. Sci. 27(3), 451–481 (1996)
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)
Venkatesh, V., Thong, J.Y., Xu, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 36(1), 157–178 (2012)
Vošner, H.B., Bobek, S., Kokol, P., Krečič, M.J.: Attitudes of active older Internet users towards online social networking. Comput. Hum. Behav. 55, 230–241 (2016)
Vroman, K.G., Arthanat, S., Lysack, C.: “Who over 65 is online?” Older adults’ dispositions toward information communication technology. Comput. Hum. Behav. 43, 156–166 (2015)
Wagner, N., Hassanein, K., Head, M.: Computer use by older adults: a multi-disciplinary review. Comput. Hum. Behav. 26(5), 870–882 (2010)
Walker, R.H., Johnson, L.W.: Why consumers use and do not use technology-enabled services. J. Serv. Mark. 20(2), 125–135 (2006)
Wei, K.K., Teo, H.H., Chan, H.C., Tan, B.C.: Conceptualizing and testing a social cognitive model of the digital divide. Inf. Syst. Res. 22(1), 170–187 (2011)
World Economic Forum: The Global Information Technology Report 2016. Innovating in the Digital Economy (2016). http://goo.gl/pivGLm. Accessed 15 Oct 2019
Wu, Y.T., Tsai, C.C.: University students’ internet attitudes and Internet self-efficacy: a study at three universities in Taiwan. CyberPsychol. Behav. 9(4), 441–450 (2006)
Yang, Y., Liu, Y., Li, H., Yu, B.: Understanding perceived risks in mobile payment acceptance. Ind. Manag Data Syst. 115(2), 253–269 (2015)
Yao, C., Liao, S.: Measuring the antecedent effects of service cognition and internet shopping anxiety on consumer satisfaction with e-tailing service. Manag. Mark. 6(1), 59–78 (2011)
Zhao, X., Mattila, A.S., Tao, L.-S.E.: The role of post-training self-efficacy in customers’ use of self-service technologies. Int. J. Serv. Ind. Manag. 19(4), 492–505 (2008)
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Peral-Peral, B., Villarejo-Ramos, Á.F. & Arenas-Gaitán, J. Self-efficacy and anxiety as determinants of older adults’ use of Internet Banking Services. Univ Access Inf Soc 19, 825–840 (2020). https://doi.org/10.1007/s10209-019-00691-w
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DOI: https://doi.org/10.1007/s10209-019-00691-w