Skip to main content
SpringerLink
Log in

Technology Adoption by Elderly People – An Empirical Analysis of Adopters and Non-Adopters of Social Networking Sites

  • Chapter
  • First Online:
Book cover Theory-Guided Modeling and Empiricism in Information Systems Research

Abstract

Due to new information and communication technologies, organizations can simplify the work of their employees, which is the largely overlooked perspective in IS research (Choudrie and Dwivedi 2006). In addition, households could integrate these technological innovations within their daily routine to handle ordinary or uncommon tasks within short periods of time. One essential innovation of the last years was the introduction of Social Network Sites (SNS), which can be defined as “online shared interactive spaces, in which a group of people use a repertoire of technological features (forums, newsgroups, messaging) to carry out a wide range of social interaction” (Khan and Jarvenpaa 2010; Jones et al 2004).

Another version of this paper appeared as: Maier, Christian et al., “Technology Adoption by Elderly People – An Empirical Analysis of Adopters and Non-Adopters of Social Networking Sites,” Proceedings of the 10th International Conference on Wirtschaftsinformatik 2011, pp. 901-911.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Ajzen, I. “The theory of planned behavior,” Organizational Behavior and Human Decision Processes (50:2), 1991, pp. 179–211.

    Article  Google Scholar 

  • Ajzen, I., and Fishbein, M.. “Understanding attitudes and predicting social behavior”, Englewood Cliffs, NJ: Prentice-Hall, 1980.

    Google Scholar 

  • Azari, R., and Pick, J. B.. “Technology and society: socioeconomic influences on technological sectors for United States counties,” International Journal of Information Management (25:1), 2005, pp. 21–37.

    Article  Google Scholar 

  • Bagozzi, R. P. “The Role of Measurement in Theory Construction and Hypothesis Testing: Toward a Holistic Model,” in Conceptual and theoretical developments in marketing, Ferrell et al. (ed.), Chicago, Ill, 1979.

    Google Scholar 

  • Bagozzi, R. P., and Yi, Y. “On the Evaluation of Structural Equation Models,” Journal of the Academy of Marketing Science (16:1), 1998, pp. 74–94.

    Article  Google Scholar 

  • Bhattacherjee, A., and Hikmet, N. “Physicians’ resistance toward healthcare information technology: a theoretical model an empirical test,” European Journal of Information Systems (16:6), 2007, pp. 725–737.

    Article  Google Scholar 

  • Bhattacherjee, A., and Hikmet, N. “Physicians’ Resistance toward Healthcare Information Technologies: A Dual-Factor Model,” Hawaii International Conference on System Sciences, 2007.

    Google Scholar 

  • Bhattacherjee, A., and Sanford, C. “Influence Processes for Information Technology Acceptance: An Elaboration Likelihood Model,” MIS Quarterly (30:4), 2006, pp. 805–825.

    Google Scholar 

  • BitKom. 30 Millionen Deutsche sind Mitglieder in Communitys. http://www.bitkom.org/de/themen/36444_62772.aspx Accessed 21 August 2010.

  • Blackwell, A. F. “End-user Developers at Home,” Communications of the ACM (47:9), 2004, pp. 65–66.

    Article  Google Scholar 

  • Brown, S. A. “Household Technology Adoption, Use, and Impacts: Past, Present, and Future,” Information Systems Frontiers (10:4), 2008, pp. 397–402.

    Article  Google Scholar 

  • Brown, S. A., and Venkatesh, V. “Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle,” MIS Quarterly (29:3), 2005, pp. 399–426.

    Google Scholar 

  • Campell, D. T., and Fiske, D. W. “Convergent and discriminant validation by the multitraitmultimethod matrix,” Psychological Bulletin (56:2), 1959, pp. 81–105.

    Article  Google Scholar 

  • Carmines, E. G., and Zeller, R. A. Reliability and validity assessment, Newbury Park, Calif.: Sage Publ., 2008.

    Google Scholar 

  • Cenfetelli, R. T. “Inhibitors and Enablers as Dual Factor Concepts in Technology Usage,” Journal of the Association for Information Systems (5:11–12), 2004, pp. 472–492.

    Google Scholar 

  • Chin, W. W. “The Partial Least Squares Approach to Structural Equation Modeling,” in Modern methods for business research, G. A. Marcoulides (ed.), Mahwah, N.J., London: Lawrence Erlbaum, 1998.

    Google Scholar 

  • Chin, W. W., and Dibbern, J. “An Introduction to a Permutation Based Procedure for Multi-Group PLS Analysis: Results of Tests of Differences on Simulated Data and a Cross Cultural Analysis of the Sourcing of Information System Services Between Germany and the USA,” in Handbook of Partial Least Squares. Springer Handbooks of Computational Statistics. Concepts, Methods and Applications, Vinzi et al. (ed.), s.l.: Springer-Verlag, 2010.

    Google Scholar 

  • Chin, W. W., and Newsted, P. R. “Structural Equation Modeling analysis with Small Samples Using Partial Least Squares,” in Statistical strategies for small sample research, R. H. Hoyle (ed.), Thousand Oaks, Calif.: Sage Publ, 2000.

    Google Scholar 

  • Chin W. W., Johnson, N.; Schwarz, A. “A fast form approach to measuring technology acceptance and other constructs,” MIS Quarterly (32:4), 2008, pp. 687–703.

    Google Scholar 

  • Choudrie, J., and Dwivedi, Y. K. “Investigating Factors Influencing Adoption of Broadband in the household,” Journal of Computer Information Systems (46:4), 2006, pp. 25–34.

    Google Scholar 

  • Choudrie, J., and Lee, H. J. “Broadband development in South Korea: institutional and cultural factors,” European Journal of Information Systems (13:2), 2004, pp. 103–114.

    Article  Google Scholar 

  • COMPASS HEADING. Nutzerzahlen Sozialer Netzwerke Januar 2010. http://www.compass-heading.de/cms/nutzerzahlen-sozialer-netzwerke-januar-2010/ Accessed 21 August 2010.

  • Correa, T.; Hinsley, A. W.; de Zúniga, H. G. “Who interacts on the Web?: The intersection of users’ personality and social media use,” Computers in Human Behavior (26), 2010, pp. 247–253.

    Article  Google Scholar 

  • Dewan, S., and Riggins, F. J. “The Digital Divide: Current and Future Research Directions,” Journal of the Association for Information Systems (6:13), 2005.

    Google Scholar 

  • Dwivedi, Y. K.; Choudrie, J.; Brinkman, W.-P. “Development of a survey instrument to examine consumer adoption of broadband,” Industrial Management & Data Systems (106:5), 2006, pp. 700–718.

    Article  Google Scholar 

  • Eckhardt, A., Laumer S., Weitzel, T. “Who influences whom? Analyzing workplace referents’ social influence on IT adoption and non-adoption,” Journal of Information Technology (24:1), 2009, pp. 11–24.

    Article  Google Scholar 

  • Ellison, N.; Steinfield, C.; Lampe, C. A. “The Benefits of Facebook "Friends:" Social Capital and College Students’ Use of Online Social Network Sites,” Journal of Computer-Mediated Communication (12:4), 2007, pp. 1143–1168.

    Article  Google Scholar 

  • Enns, H. G., Huff, S. L., Higgins, C. A. “CIO Lateral Influence Behaviors: Gaining Peers’ Commitment to Strategic Information Systems,” MIS Quarterly (27:1), 2003, pp. 155–176.

    Google Scholar 

  • Facebook. Statistics. http://www.facebook.com/press/info.php?statistics Accessed 1 July 2010.

  • Ferrell, O. C., Brown, S. W., Lamb, C. W. (ed.). Conceptual and theoretical developments in marketing, Chicago, Ill, 1979.

    Google Scholar 

  • Fishbein, M., and Ajzen, I. “Belief, attitude, intention and behavior. An introduction to theory and research,” Reading, Mass 1975.

    Google Scholar 

  • Fornell, C., and Larcker, D. F. “Evaluating Structural equation models with unobservable variables and measurement error,” Journal of Marketing Research (18:1), 1981, pp. 39–50.

    Article  Google Scholar 

  • Gallivan M.J., and Srite, M. “Information Technology and Culture: Identifying Fragmented and Holistic Perspectives of Culture,” Information & Organization (15:2), 2005, pp. 295–338.

    Article  Google Scholar 

  • Hargittai, E. Second-Level Digital Divide: Differences in People’s Online Skills. http://www.firstmonday.dk/issues/issue7_4/hargittai Accessed 1 July 2010.

  • Henseler, J., Ringle, C. M., Sinkovics Rudolf R. “The use of partial least squares path modeling in international marketing,” Advances in International Marketing (20), 2009, pp. 277–319.

    Article  Google Scholar 

  • Hirschheim, R., and Newman, M. “Information Systems and User Resistance: Theory and Practice,” The Computer Journal (31:5), 1988, pp. 398–408.

    Article  Google Scholar 

  • Holznagel, B. “Frequenzeffizienz und Rundfunkspektrum,” MMR (4), 2008, pp. 207–215.

    Google Scholar 

  • Hoyle, R. H. (ed.) Statistical strategies for small sample research, Thousand Oaks, Calif.: Sage Publ., 2000.

    Google Scholar 

  • Hulland, J. S. “Use of partial least squares (PLS) in strategic management research: A review of four recent studies,” Strategic Management Journal (20:2), 1999, pp. 195–204.

    Article  Google Scholar 

  • Hutter, T. Facebook Demographische Zahlen der Länder > 1 Mio. www.thomashutter.com, 2010.

  • Jiang, J. J., Muhanna, W. A., Klein, G. “User resistance and strategies for promoting acceptance across system types,” Information and Management (37:3), 2000, pp. 25–36.

    Article  Google Scholar 

  • Johansen, R., and Swigart, R. “Upsizing the individual in the downsized organization. Managing in the wake of reengineering, globalization, and overwhelming technological change,” Reading, Mass 1996.

    Google Scholar 

  • Jones, Q., Ravid, G., Rafaeli, S. “Information Overload and the Message Dynamics of Online Interaction Spaces: A theoretical model and empirical exploration,” Information Systems Research (15:2), 2004, pp. 194–210.

    Article  Google Scholar 

  • Joos, J. G. “Social media: New frontiers in hiring and recruiting,” Employment Relations Today (35:1), 2008, pp. 51–59.

    Article  Google Scholar 

  • Khan, Z., and Jarvenpaa, S. L. “Exploring temporal coordination of events with Facebook. com.,” Journal of Information Technology (25:2), 2010, pp. 137–151.

    Article  Google Scholar 

  • Kim, H. W., and Kankanhalli, A. “Investigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective,” MIS Quarterly (33:3), 2009, pp. 567–582.

    Google Scholar 

  • Kubicek, H., and Welling, S. “Vor einer digitalen Spaltung in Deutschland? Annäherung an ein verdecktes Problem von wirtschafts- und gesellschaftspolitischer Brisanz,” Medien und Kommunikationswissenschaft (48:4), 2000, pp. 497–517.

    Google Scholar 

  • Lapointe, L., and Rivard, S. “A Multilevel Model of Resistance to Information Technology Implementation,” MIS Quarterly (29:3), 2005, pp. 461–491.

    Google Scholar 

  • Laumer S., Maier C., Eckhardt E. “Towards an Understanding of an Individual’s Resistance to Use an IS - Empirical Examinations and Directions for Future Research,” DIGIT 2009 PROCEEDINGS 2009.

    Google Scholar 

  • Laumer S., Maier C., Eckhardt E. “Why do they resist? - An empirical analysis of an individual’s personality trait resistance regarding the adoption of new information systems,” Pretoria, South Africa, 2010.

    Google Scholar 

  • Lewin, K. “Frontiers in Group Dynamics: Concept, Method and Reality in Social Science; Social Equilibria and Social Change,” Human Relations (1:1), 1947, pp. 5–41.

    Article  Google Scholar 

  • Lewis, K., Kaufman, J., Gonzales, M., Wimmer, A., Christakis, N. “Taste, Ties, and Time: A new social network dataset using Facebook.com,” Social Networks (30:4), 2008, pp. 330–342.

    Article  Google Scholar 

  • Lewis, K., Kaufman, J., Christakis, N. “The Taste for Privacy: An Analysis of College Student Privacy Settings in an Online Social Network,” Journal of Computer-Mediated Communication (14:1), 2008, pp. 79–100.

    Article  Google Scholar 

  • Luftman, J., Kempaiah, R., Rigoni E. H. “Key Issues for IT Executives 2008,” MIS Quarterly Executive (8:3), 2009, pp. 151–159.

    Google Scholar 

  • Marcoulides, G. A. (ed.) Modern methods for business research, Mahwah, N.J., London: Lawrence Erlbaum, 1998.

    Google Scholar 

  • Markus, M. L. “Power, Politics, and MIS Implementation,” Communications of the ACM (26:6), 1983, pp. 430–444.

    Article  Google Scholar 

  • Mayer, A., and Puller, S. “The Old Boy (and Girl) Network: Social network formation on university campuses,” Journal of Public Economics (92:1–2), 2008, pp. 329–347.

    Article  Google Scholar 

  • Mertens, P. “Fehlschläge bei IT-Großprojekten der öffentlichen Verwaltung - ein Beitrag zur Misserfolgsforschung in der Wirtschaftsinformatik,” Working Paper, 2008.

    Google Scholar 

  • Moore, G. A. Crossing the chasm. Marketing and selling high-tech products to mainstream customers, New York: HarperBusiness, 1999.

    Google Scholar 

  • Norman, D. A. “Things that make us smart. Defending human attributes in the age of the machine,” Reading, Mass 1999.

    Google Scholar 

  • Oreg, S. “Resistance to Change: Developing an Individual Differences Measure,” Journal of Applied Psychology (88:4), 2003, pp. 680–693.

    Article  Google Scholar 

  • Pak, R., Price, M., Thatcher, J. B.. “Age-Sensitive Design of Online Health Information: Comparative Usability Study,” Journal of Medical Internet Research (11:4), 2009.

    Google Scholar 

  • Phang, C. W., Kankanhalli, A., Sabherwal, R.. “Usability and Sociability in Online Communities,” Journal of the Association for Information Systems (10:10), 2009, pp. 721–747.

    Google Scholar 

  • Raacke, J., and Bonds-Raacke, J. “MySpace and Facebook: Applying the Uses and Gratifications Theory to Exploring Friend-Networking Sites,” CyperPsychology & Behavior (11:2), 2008, pp. 169–174.

    Article  Google Scholar 

  • Ringle et al. “SmartPLS, 2.0 (beta),” 2005.

    Google Scholar 

  • Rosen, P., and Sherman, P. “Hedonic Information Systems: Acceptance of Social Networking Websites,” AMCIS 2006 Proceedings, 2006.

    Google Scholar 

  • Ross, C., Orr, E. S., Sisic, M., Arseneault, J. M., Simmering, M. G., Orr, R. R. “Personality and motivations associated with Facebook use,” Computers in Human Behavior (25:2), 2009, pp. 578–586.

    Article  Google Scholar 

  • studiVZ. Data and Facts. http://www.studivz.net/l/about_us/1/ Accessed 14 July 2010.

  • Subrahmanyam, K., Reich, S. M., Waechter, N., Espinoza, G. “Online and offline social networks: Use of social networking sites by emerging adults,” Journal of Applied Developmental Psychology (29:6), 2008, pp. 420–433.

    Article  Google Scholar 

  • TNS Infratest. “(N)Onliner Atlas: Eine Topographie des digitalen Grabens durch Deutschland: Nutzung und Nichtnutzung des Internets, Strukturen und regionale Verteilung,” TNS Infratest Juni 2009.

    Google Scholar 

  • Valenzuela, S., Park, N., Kee, K. F. “Is there social capital in a social network site? Facebook use, and college students’ life satisfaction, trust, and participation,” Journal of Computer-Mediated Communication (14:4), 2009, pp. 875–901.

    Article  Google Scholar 

  • Venkatesh, A. “Digital home technologies and transformation of households,” Information Systems Frontiers (10:4), 2008, pp. 391–395.

    Article  Google Scholar 

  • Venkatesh, V., and Brown, S. A. “A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges,” MIS Quarterly (25:1), 2001, pp. 71–102.

    Article  Google Scholar 

  • Venkatesh, V., Morris, M. G., Davis, G. B., Davis, F. D. “User Acceptance of Information Technology: Toward a unified View,” MIS Quarterly (27:3), 2003, pp. 425–478.

    Google Scholar 

  • Vinzi, V., Chin, W. W., Henseler, J., Wang, H. (ed.). Handbook of Partial Least Squares. Springer Handbooks of Computational Statistics. Concepts, Methods and Applications, s.l.: Springer-Verlag, 2010.

    Google Scholar 

  • Walther, J. B., Van der Heide, B., Kim, S.-Y., Westerman, D., Tong, S. T. “The Role of Friends’ Appearance and Behavior on Evaluations of Individuals on Facebook: Are We Known by the Company We Keep?,” Human Communication Research (34:1), 2008, pp. 28–49.

    Article  Google Scholar 

  • Wege ins Netz. Der Wettbewerb für mehr digitale Kompetenz. http://www.bmwi.de/BMWi/Navigation/Technologie-und-Innovation/Informationsgesellschaft/internet-erfahren,did=339642.html Accessed 21 August 2010.

  • Weitzel T., Eckhardt, A., Laumer S. “A Framework for Recruiting IT Talent: Lessons from Siemens,” MIS Quarterly Executive (8:4), 2009, pp. 175–189.

    Google Scholar 

  • Wiener, L. R. “Digital woes. Why we should not depend on software,” Reading, Mass 1993.

    Google Scholar 

  • Williams, M. D., Dwivedi, Y. K., Lal, B., Schwarz, A. “Contemporary trends and issues in IT adoption and diffusion research,” Journal of Information Technology (24:1), 1990, pp. 1–10.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Centre of Human Resources Information Systems, Otto-Friedrich University Bamberg, Feldkirchenstr. 21, 96052, Bamberg, Germany

    Christian Maier & Sven Laumer

  2. Centre of Human Resources Information Systems, Goethe University Frankfurt am Main, Grueneburgplatz 1, 60323, Frankfurt am Main, Germany

    Dr. Andreas Eckhardt

Authors
  1. Christian Maier
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sven Laumer
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dr. Andreas Eckhardt
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Christian Maier .

Editor information

Editors and Affiliations

  1. Fak. Betriebswirtschaftslehre, LS ABWL und Wirtschaftsinformatik I, Universität Mannheim, Schloss, S 220, Mannheim, 68131, Germany

    Armin Heinzl

  2. Fachgebiet Wirtschaftsinformatik, TU Darmstadt, Hochschulstr. 1, Darmstadt, 64289, Germany

    Peter Buxmann

  3. , Business Information Systems, University of Kaiserslautern, Gottlieb-Daimler-Str., Kaiserslautern, 67663, Germany

    Oliver Wendt

  4. Information Systems and Services, University Bamberg, Feldkirchenstr. 21, Bamberg, 96045, Germany

    Tim Weitzel

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Maier, C., Laumer, S., Eckhardt, A. (2011). Technology Adoption by Elderly People – An Empirical Analysis of Adopters and Non-Adopters of Social Networking Sites. In: Heinzl, A., Buxmann, P., Wendt, O., Weitzel, T. (eds) Theory-Guided Modeling and Empiricism in Information Systems Research. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2781-1_5

Download citation

Publish with us

Policies and ethics

Search

Navigation