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Acceptance of Online Social Networks as an HR Staffing Tool: Result from a Multi-country Sample

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Book cover Multidisciplinary Social Networks Research (MISNC 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 540))

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Abstract

The popular online social networks are increasingly used by business organizations for various business activities. This research focused on the adoption of online social networks by human resources (HR) professionals as a tool in organizational staffing activities. The Technology Acceptance Model (TAM) was the theoretical basis of this study which sought to investigate the issue with a multi-country sample. Online questionnaire invitations were sent to HR practitioners in Taiwan, India, Spain and Guatemala, which generated 101 valid responses. Partial least square-based structural equation modeling was used to fit the proposed model and test the research hypotheses. Results indicated that, as hypothesized, the perceived usefulness, perceived ease of use, and subjective norms in TAM model effectively explained HR practitioners’ behavioral intention to use online social networks for staffing activities in our sample. Limitations and future research were also discussed.

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References

  1. DeLone, W., McLean, E.: Information systems success: The quest for the dependent variable. Information Systems Research 3(1), 60–95 (1992)

    Article  Google Scholar 

  2. DeLone, W., McLean, E.: The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems 19(4), 9–30 (2003)

    Google Scholar 

  3. Davis, F.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3), 319–339 (1989)

    Article  Google Scholar 

  4. Straub, D., Keil, M., Brenner, W.: Testing the technology acceptance model across cultures: A three country study. Information & Management 33, 1–11 (1997)

    Article  Google Scholar 

  5. King, W., He, J.: A meta-analysis of the technology acceptance model. Information and Management 43, 740–755 (2006)

    Article  Google Scholar 

  6. Schepers, J., Wetzels, M.: A Meta-analysis of the technology acceptance model: investigating subjective norm and moderation effects. Information & Management 44(1), 90–103 (2007)

    Article  Google Scholar 

  7. Davis, F.D.: A technology acceptance model for empirically testing new end-user information systems: Theory and results. Doctoral dissertation, Massachusetts Institute of Technology, Sloan School of Management (1985)

    Google Scholar 

  8. Bowen, W.: The puny payoff from office computers. Fortune, 20–24 (1986)

    Google Scholar 

  9. Young, T.R.: The lonely micro. Datamation 30(4), 100–114 (1984)

    Google Scholar 

  10. Fishebein, M., Ajzen, I.: Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley, Reading, Massachusetts (1975)

    Google Scholar 

  11. Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science 46(2), 186–204 (2000)

    Article  Google Scholar 

  12. Srite, M., Karahanna, E.: The Role of espoused national cultural values in technology acceptance. MIS Quarterly 30(3), 679–704 (2006)

    Google Scholar 

  13. Crocker, L.S., Algina, J.: Introduction to classical and modern Test theory. Harcourt Brace Jovanovich, Fort Worth, TX (1986)

    Google Scholar 

  14. Ringle, C., Sarstedt, M., Straub, D.: Editors’ Comments: A critical look at the use of PLS-SEM in MIS Quarterly. MIS Quarterly 36(1), iii–xiv (2012)

    Google Scholar 

  15. Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 39–50 (1981)

    Google Scholar 

  16. Hair, Jr., J.F., Anderson, R.E., Tatham, R.L., Black, W.C.: Multivariate data analysis, 5th edn. Prentice-Hall, Upper Saddle River (1998)

    Google Scholar 

  17. Moore, D.S., McCabe, G.P., Duckworth, W.M., Alwan, L.C.: The practice for business statistics: Using data for decisions, 2nd edn. W.H. Freeman and Company, New York (2009)

    Google Scholar 

  18. Hofstede, G.: Culture’s consequences: International differences in work-related values, vol. 5. Sage Publications, Incorporated (1980)

    Google Scholar 

  19. Hofstede, G.: Culture’s consequences: Comparing values, behaviors, institutions and organizations across nations, 2nd edn. Sage Publications, Incorporated (2001)

    Google Scholar 

  20. Hofstede, G., Bond, M.H.: The Confucius connection: From cultural roots to economic growth. Organizational Dynamics 16(4), 4–21 (1988)

    Article  Google Scholar 

  21. Wu, M.: Hofstede’s cultural dimensions 30 years later: a study of Taiwan and the United States. Intercultural Communication Studies 15(1), 33 (2006)

    Google Scholar 

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Correspondence to Yu-Hui Tao .

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Yeh, CC.R., Gossmann, K.C., Tao, YH. (2015). Acceptance of Online Social Networks as an HR Staffing Tool: Result from a Multi-country Sample. In: Wang, L., Uesugi, S., Ting, IH., Okuhara, K., Wang, K. (eds) Multidisciplinary Social Networks Research. MISNC 2015. Communications in Computer and Information Science, vol 540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48319-0_6

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  • DOI: https://doi.org/10.1007/978-3-662-48319-0_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-48318-3

  • Online ISBN: 978-3-662-48319-0

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