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Do as your parents say?—Analyzing IT adoption influencing factors for full and under age applicants

Author

Listed:
  • Sven Laumer

    (Otto-Friedrich-University Bamberg)

  • Andreas Eckhardt

    (Goethe University Frankfurt a. Main)

  • Natascha Trunk

    (Otto-Friedrich-University Bamberg)

Abstract

The article suggests a model for examining the adoption of e-recruiting by individuals. The model is empirically evaluated using survey data from 323 full and under age applicants. The results explain substantial parts of the individual adoption decision. Interestingly, the relative importance of the adoption drivers varies with age, social environment and the level of education. While, as expected, overall Performance Expectancy is the major force behind adopting e-recruiting, the relative importance of the other factors differs a lot. Whereas Facilitating Conditions came out as an important driver for under age pupils, full age students by contrast are highly driven by the influence of their peer groups and the communication of the respective company they apply for. A major outcome is that the Subjective Norm of family and friends, teachers and professors has a weaker influence for under age pupils who mostly live with their parents than for the group of students who already left home to study at college. Consequentially we assume that the social influence of peer groups on an individual’s adoption differs with respect to age, social environment and level of education. This should be investigated more carefully in future adoption research as it might provide an answer for the varying significance of Subjective Norm in adoption research.

Suggested Citation

  • Sven Laumer & Andreas Eckhardt & Natascha Trunk, 2010. "Do as your parents say?—Analyzing IT adoption influencing factors for full and under age applicants," Information Systems Frontiers, Springer, vol. 12(2), pages 169-183, April.
    • Handle: RePEc:spr:infosf:v:12:y:2010:i:2:d:10.1007_s10796-008-9136-x
    DOI: 10.1007/s10796-008-9136-x
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    References listed on IDEAS

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    1. Miniard, Paul W & Cohen, Joel B, 1983. "Modeling Personal and Normative Influences on Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(2), pages 169-180, September.
    2. Ben D. MacArthur & Richard O. C. Oreffo, 2005. "Bridging the gap," Nature, Nature, vol. 433(7021), pages 19-19, January.
    3. Roman Beck & Daniel Beimborn & Tim Weitzel & Wolfgang König, 2008. "Network effects as drivers of individual technology adoption: Analyzing adoption and diffusion of mobile communication services," Information Systems Frontiers, Springer, vol. 10(4), pages 415-429, September.
    4. Beatty, Sharon E & Talpade, Salil, 1994. "Adolescent Influence in Family Decision Making: A Replication with Extension," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(2), pages 332-341, September.
    5. Childers, Terry L & Rao, Akshay R, 1992. "The Influence of Familial and Peer-Based Reference Groups on Consumer Decisions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(2), pages 198-211, September.
    6. Spiro, Rosann L, 1983. "Persuasion in Family Decision-Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(4), pages 393-402, March.
    7. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    8. John Hulland, 1999. "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, Wiley Blackwell, vol. 20(2), pages 195-204, February.
    9. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    10. Se-Joon Hong & James Y. L. Thong & Jae-Yun Moon & Kar-Yan Tam, 2008. "Understanding the behavior of mobile data services consumers," Information Systems Frontiers, Springer, vol. 10(4), pages 431-445, September.
    11. Wagner, Janet & Hanna, Sherman, 1983. "The Effectiveness of Family Life Cycle Variables in Consumer Expenditure Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(3), pages 281-291, December.
    12. Marie Griffiths & Ben Light, 2008. "Social networking and digital gaming media convergence: Classification and its consequences for appropriation," Information Systems Frontiers, Springer, vol. 10(4), pages 447-459, September.
    13. Yogesh K. Dwivedi & Michael D. Williams & Viswanath Venkatesh, 2008. "Guest Editorial: A profile of adoption of Information & Communication Technologies (ICT) research in the household context," Information Systems Frontiers, Springer, vol. 10(4), pages 385-390, September.
    14. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    15. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    16. Susan A. Brown, 2008. "Household technology adoption, use, and impacts: Past, present, and future," Information Systems Frontiers, Springer, vol. 10(4), pages 397-402, September.
    17. Alladi Venkatesh, 2008. "Digital home technologies and transformation of households," Information Systems Frontiers, Springer, vol. 10(4), pages 391-395, September.
    18. Dinesh A. Mirchandani & Julius H. Johnson Jr. & Kailash Joshi, 2008. "Perspectives of citizens towards e-government in Thailand and Indonesia: A multigroup analysis," Information Systems Frontiers, Springer, vol. 10(4), pages 483-497, September.
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    2. Kuo-Yu Huang & Yea-Ru Chuang, 2016. "A task–technology fit view of job search website impact on performance effects: An empirical analysis from Taiwan," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1253943-125, December.
    3. L. Garekwe & S. J. Ferreira-Schenk & Zandri Dickason-Koekemoer, 2024. "Modelling Factors Influencing Bank Customers’ Readiness for Artificial Intelligent Banking Products," International Journal of Economics and Financial Issues, Econjournals, vol. 14(1), pages 73-84, January.
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