Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Empirical investigation on factors influencing the behavioral intention to use Facebook

  • Long Paper
  • Published:
Universal Access in the Information Society Aims and scope Submit manuscript

Abstract

There continues to be a gap in understanding of what makes an individual engage in Facebook use. This is the primary research question of this study. Social network research is a good place to begin. Hence, this research aims to investigate factors influencing the behavioral intention to use Facebook. Cross-sectional data were collected from 200 respondents through a survey. Data were then analyzed by means of multiple regression analysis. The findings verified the research hypotheses and confirmed that perceived enjoyment, perceived ease of use, and perceived usefulness all impact attitude toward continuance intention of Facebook. This paper provides some insights into how practitioners could better develop Facebook site and enhances understanding of users’ perception toward Facebook. Facebook developer should evaluate ways to improve perceptions of their sites on these dimensions. Facebook group should add more game zones and interesting features to boost up the number of Facebook users so that Facebook can maintain or achieve a higher position in social networking sites compared to others. Implications for research and practice are discussed.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Adams, D.A., Nelson, R.R., Todd, P.A.: Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Q. 16(2), 227–247 (1992)

    Article  Google Scholar 

  2. Agarwal, R., Prasad, J.: Are individual differences germane to the acceptance of new information technologies? Decis. Sci. 30, 361–391 (1999)

    Article  Google Scholar 

  3. Back, M.D., Stopfer, J.M., Vazire, S., Gaddis, S., Schmukle, S.C., Egloff, B., Gosling, S.D.: Facebook profiles reflect actual personality, not self-idealization. Psychol. Sci. 21, 372–374 (2010)

    Article  Google Scholar 

  4. Baron, R.M., Kenny, D.A.: The moderator-mediator variable distinction in social psychological research: conceptual, strategic and statistical considerations. J. Pers. Soc. Psychol. 51, 1173–1182 (1986)

    Article  Google Scholar 

  5. Bruner II, G.C., Kumar, A.: Explaining consumer acceptance of hand-held internet devices. J. Bus. Res. 58(5), 553–558 (2005)

    Article  Google Scholar 

  6. Burton-Jones, A., Hubona, G.S.: Individual differences and usage behavior: revisiting a technology acceptance model assumption. DATA BASE Adv. Inf. Syst. 36(2), 58–77 (2005)

    Article  Google Scholar 

  7. Chau, P.Y.K.: An empirical assessment of a modified technology acceptance model. J. Manag. Inf. Syst. 13(2), 185–204 (1996)

    Google Scholar 

  8. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)

    Article  Google Scholar 

  9. Davis, F.D.: Extrinsic and intrinsic motivation to use computers in the workplace. J. Appl. Soc. Psychol. 22, 1111–1132 (1992)

    Article  Google Scholar 

  10. Davis, F.D.: User acceptance of information technology: system characteristics, user perceptions, and behavioral impacts. Int. J. Man Mach. Stud. 38(3), 475–487 (1993)

    Article  Google Scholar 

  11. Davis, F.D., Bagozzi, R., Warshaw, P.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35, 982–1003 (1989)

    Article  Google Scholar 

  12. Eszter, H., Yuli Patrick, H.: Predictors and consequences of differentiated practices on social network sites. Inf. Commun. Soc. 13(4), 515–536 (2010)

    Article  Google Scholar 

  13. Facebook: Facebook Statistics Page. http://www.facebook.com/press/info.php?statistics (2010). Retrieved 30 Jan 2010

  14. Fagan, M.H., Wooldridge, B.R., Neill, S.: Exploring the intention to use computers: an empirical investigation of the role of intrinsic motivation, extrinsic motivation, and perceived ease of use. J. Comput. Inf. Syst. 48(3), 31–37 (2008)

    Google Scholar 

  15. Fishbein, M., Ajzen, I.: Belief, Attitude, Intention, and Behavior: An Introduction of Theory and Research. Addison-Wesley, Boston, MA (1975)

    Google Scholar 

  16. Guriting, P., Ndubisi, N.O.: Borneo online banking: evaluating customer perceptions and behavioural intention. Manag. Res. News. 29(1/2), 6–15 (2006)

    Article  Google Scholar 

  17. Ha, S., Stoel, L.: Consumer e-shopping acceptance: antecedents in a technology acceptance model. J. Bus. Res. 62, 565–571 (2009)

    Article  Google Scholar 

  18. Hsu, C.L., Lu, H.P.: Why do people play on-line games? An extended TAM with social influences and flow experience. Inf. Manag. 41(7), 853–868 (2004)

    Article  Google Scholar 

  19. Hsu, M.K., Wang, S.W., Chiu, K.K.: Computer attitude, statistics anxiety and self-efficacy on statistical software adoption behavior: an empirical study of online MBA learners. Comput. Hum. Behav. 25, 412–420 (2009)

    Article  Google Scholar 

  20. Huang, E.: Use and gratification in e-consumers. Internet Res. 18(4), 405–426 (2008)

    Article  Google Scholar 

  21. Igbaria, M., Parasuraman, S., Baroudi, J.J.: A motivational model of computer usage. J. Manag. Inf. Syst. 13(1), 127–143 (1996)

    Google Scholar 

  22. Jackson, C., Chow, S., Leitch, R.: Toward an understanding of the behavioral intention to use an information system. Decis. Sci. 28, 357–389 (1997)

    Article  Google Scholar 

  23. Joinson, A.N.: Looking at, looking up or keeping up with people? Motives and use of Facebook. In: Proceedings of the 26th Annual SIGCHI Conference on Human Factors in Computing Systems, Florence, Italy, pp 1027–1036. (2008)

  24. Justin, P., Sameer, H.: Trends in online social networking: adolescent use of MySpace over time. New Media Soc. 12(2), 179–196 (2010)

    Article  Google Scholar 

  25. Karahanna, E., Limayen, M.: Email and vmail usage: generalising across technologies. J. Organ. Comput. Electron. Commer. 10(1), 49–66 (2000)

    Article  Google Scholar 

  26. Kim, G.S., Oh, J., Park, S.B.: An examination of factors influencing consumer adoption of short message service (SMS). Psychol. Mark. 25(8), 769–786 (2008)

    Article  Google Scholar 

  27. Kwon, O., Wen, Y.: An empirical study of the factors affecting social network service use. Comput. Hum. Behav. 26, 254–263 (2010)

    Article  Google Scholar 

  28. Liao, C.H., Tsou, C.W., Shu, Y.C.: The roles of perceived enjoyment and price perception in determining acceptance of multimedia-on-demand. Int. J. Bus. Inf. 3(1), 27–52 (2008)

    Google Scholar 

  29. Lin, H.F.: Applicability of the extended theory of planned behavior in predicting job seeker intentions to use job-search websites. Int. J. Sel. Assess. 18(1), 64–74 (2010)

    Article  Google Scholar 

  30. Mathieson, K.: Predicting user intention: comparing the technology acceptance model with the theory of planned behavior. Inf. Syst. Res. 2(3), 173–191 (1991)

    Article  Google Scholar 

  31. Moon, J.W., Kim, Y.G.: Extending the TAM for a world-wide-web context. Inf. Manag. 38(4), 217–230 (2001)

    Article  Google Scholar 

  32. Musiani, F.: When social links are network links: the dawn of peer-to-peer social networks and its implications for privacy. Observatorio (OBS*) 4(3), 185–207 (2010)

    Google Scholar 

  33. Norazah, M.S., Ramayah, T., Norbayah, M.S.: Internet shopping acceptance: examining the influence of intrinsic versus extrinsic motivations. Direct Mark.: Int. J. 2(2), 97–110 (2008)

    Article  Google Scholar 

  34. Nysveen, H., Pedersen, P.E., Thorbjornsen, H.: Intentions to use mobile services: antecedents and cross-service comparisons. Acad. Mark. Sci. J. 33(3), 330–346 (2005)

    Article  Google Scholar 

  35. O’cass, A., Fenech, T.: Web retailing adoption: exploring the nature of Internet users Web retailing behaviour. J. Retail. Consum. Serv. 10, 81–94 (2003)

    Article  Google Scholar 

  36. Presley, A., Presley, T.: Factors influencing student acceptance and use of academic portals. J. Comput. High. Educ. 21, 167–182 (2009)

    Article  Google Scholar 

  37. Ramayah, T.: Doing e-research with e-library: determinants of perceived ease of use of e-library. Int. J. Technol. Knowl. Soc. 1(4), 71–82 (2006)

    Google Scholar 

  38. Ramayah, T., Chin, Y.L., Norazah, M.S., Amlus, I.: Determinants of intention to use an online bill payment system among MBA students. E-Business 9, 80–91 (2005)

    Google Scholar 

  39. Ruiz-Mafé, C., Sanz-Blas, S., Aldas-Manzano, J.: Drivers and barriers to online airline ticket purchasing. J. Air Transp. Manag. 15(6), 294–298 (2009)

    Article  Google Scholar 

  40. Segars, A.H., Grover, V.: Re-examining perceived ease of use and usefulness: a confirmatory factor analysis. MIS Q. 17(4), 517–525 (1993)

    Article  Google Scholar 

  41. Seyal, A.H., Rahman, N.A.: The influence of external variables on the executives’ use of the Internet. Bus. Process Manag. J. 13(2), 263–278 (2007)

    Article  Google Scholar 

  42. Subramanian, G.H.: A replication of perceived usefulness and perceived ease of use measurement. Decis. Sci. 25(5/6), 863–874 (1994)

    Article  Google Scholar 

  43. Taylor, S., Todd, P.: Assessing IT usage: the role of prior experience. MIS Q. 19(4), 561–570 (1995)

    Article  Google Scholar 

  44. Teo, T., Pok, S.H.: Adoption of the Internet and WAP-enabled phones in Singapore. Behav. Inf. Technol. 22(4), 281–289 (2003)

    Article  Google Scholar 

  45. Tong, D.Y.K.: A study of e–recruitment technology adoption in Malaysia. Ind. Manag. Data Syst. 109(2), 281–300 (2009)

    Article  Google Scholar 

  46. Tong, D.Y.K., Sivanand, C.N.: Service providers review: international and Malaysian. Empl. Relat. 27(1), 103–117 (2005)

    Article  Google Scholar 

  47. Trevino, L.K., Webster, J.: Flow in computer-mediated communication: electronic mail and voice evaluation. Commun. Res. 19(2), 539–573 (1992)

    Article  Google Scholar 

  48. Turner, M., Kitchenham, B., Brereton, B., Charters, S., Budgen, D.: Does the technology acceptance model predict actual use? A systematic literature review. Inf. Softw. Technol. 52, 463–479 (2010)

    Article  Google Scholar 

  49. Van der Heijden, H.: Factors influencing the usage of websites: the case of a generic portal in the Netherlands. Inf. Manag. 40(6), 541–549 (2003)

    Article  Google Scholar 

  50. Venkatesh, V.: Creation of favorable uses perceptions: exploring the role of intrinsic motivation. MIS Q. 23, 239–260 (1999)

    Article  Google Scholar 

  51. Venkatesh, V.: Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inf. Syst. Res. 11, 342–365 (2000)

    Article  Google Scholar 

  52. 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)

    Article  Google Scholar 

  53. Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage. Sci. 46(2), 186–204 (2000)

    Article  Google Scholar 

  54. Vijayasarathy, L.R.: Predicting consumer intentions to use online shopping: the case for an augmented technology acceptance model. Inf. Manag. 41(6), 747–762 (2004)

    Article  Google Scholar 

  55. Yi, M., Hwang, Y.: System self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. Int. J. Hum. Comput. Stud. 59, 439–449 (2003)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Universiti Malaysia Sabah, Labuan, Sabah, Malaysia

    Norazah Mohd Suki

  2. Universiti Sains Malaysia, Penang, Malaysia

    T. Ramayah & Kee Ker Ly

Authors
  1. Norazah Mohd Suki
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. T. Ramayah
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kee Ker Ly
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Norazah Mohd Suki.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Suki, N.M., Ramayah, T. & Ly, K.K. Empirical investigation on factors influencing the behavioral intention to use Facebook. Univ Access Inf Soc 11, 223–231 (2012). https://doi.org/10.1007/s10209-011-0248-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10209-011-0248-6

Keywords

Search

Navigation