An Investigation of the Integrated Model of User Technology Acceptance: Internet User Samples in Four Countries

Abstract

National background of users may influence the process of technology acceptance. The present study explored this issue with the new, integrated technology use model proposed by Sun and Zhang (2006). Data were collected from samples of college students in India, Mauritius, Reunion Island, and United States. Questionnaire methodology and hierarchical multiple regression data analysis procedures were employed. The direct effects of the model's predictors were tested in relation to behavioral intention to use the Internet and self-reported Internet usage. Moderator effects were explored concerning users' country affiliation and extent of Internet experience. Findings supported the integrated model's prediction of intention. Country affiliation and experience appeared to moderate several of the relationships between model predictors and Internet criteria. Recommendations for encouraging student Internet use are based on the present findings and current literature.

Get full access to this article

View all access options for this article.

References

Ackbarally

(2002). Mauritius: A cyber-island in the making. Contemporary Review, 281, 160–162.

Aiken

Vanjani

Ray

, & Martin

(2003). College student Internet use. Campus-Wide Information Systems, 20, 182–185.

Anakwe

U. P.

Igbaria

, & Anandarajan

(2000). Management practices across cultures: Role of support in technology usage. Journal of International Business Studies, 31, 653–666.

Anandarajan

Igbaria

, & Anakwe

U. P.

(2002). IT acceptance in a less-developed country: A motivational factor perspective. International Journal of Information Management, 22, 47–65.

Anandarajan

Simmers

, & Igbaria

(2000). An exploratory investigation of the antecedents and impact of Internet usage: An individual perspective. Behaviour & Information Technology, 19, 69–85.

Anderson

J. E.

Schwager

P. H.

, & Kerns

R. L.

(2006). The drivers for acceptance of tablet PCs by faculty in a college of business. Journal of Information Systems Education, 17, 429–440.

Baggaley

, & Hoon

M. N. L.

(2005). Pandora's box: Distance learning technologies in Asia. Learning, Media & Technology, 30, 5–14.

Bentler

P. M.

, & Speckart

(1979). Models of attitude-behavior relations. Psychological Review, 86, 452–464.

Cheung

, & Huang

(2005). Proposing a framework to assess Internet usage in university education: An empirical investigation from a student's perspective. British Journal of Educational Technology, 36, 237–253.

10.

CIA World Factbook (2007). https://www.cia.gov/library/publications/the-world-factbook/index.html. Retrieved November 16, 2007.

11.

Cohen

, & Cohen

(1983). Applied multiple regression/correlation analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum Associates.

12.

Davis

F. D.

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

13.

Economist Intelligence Unit. (2007). The 2007 e-readiness rankings: Raising the bar. http://a330.g.akamai.net/7/330/25828/2007040195432/graphics.eiu.com/files/ad_pdfs/2007/Ereadiness_Ranking_WP.pdf. Retrieved November 28, 2007.

14.

European Commission. (2007a). INTERREG III B – Indian Ocean/Reunion Island. http://www.ec.europa.eu/regional_policy/country/prordn/details.cfm?gv_PAY=IT&gv_reg=ALL&gv_PGM=2001CB160PC011&LAN=5. Retrieved November 16, 2007.

15.

European Commission. (2007b). Réunion Island at the crossroads of the image. http://ec.europa.eu/regional_policy/projects/stories/details.cfm?pay=FR&the=3&sto=1215&lan=5. Retrieved November 16, 2007.

16.

Fusilier

, & Durlabhji

(2005). Student Internet use: USA and Mauritius. Journal of Private Enterprise, 20, 177–190.

17.

Fusilier

Durlabhji

Cucchi

, & Collins

(2005). A four-country investigation of factors facilitating student Internet use. Journal of CyberPsychology and Behavior, 8, 454–464.

18.

Heeks

(2002). Information systems and developing countries: Failure, success, and local improvisations. The Information Society, 18, 101–112.

19.

Hofstede

(1980). Cultural consequences: International differences in work related values. Beverly Hills, CA: Sage.

20.

Hofstede

(2001). Adoption of communication technologies and national culture. Systemes d'Information et Management, 6, 55–74.

21.

Horton

R. P.

Buck

Waterson

P. E.

, & Clegg

C. W.

(2001). Explaining intranet use with the technology acceptance model. Journal of Information Technology, 16, 237–249.

22.

Internet World Stats. (2007). Internet usage statistics. http://internetworldstats.com/stats.htm. Retrieved November 29, 2007.

23.

Jones

(2002). The Internet goes to college: How students are living in the future with today's technology. Pew Internet & American Life Project. http://www.pewinternet.org/pdfs/PIP_College_Report.pdf. Retrieved November 23, 2007.

24.

Karahanna

Straub

D. W.

, & Chervany

(1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post adoption beliefs. MIS Quarterly, 23, 183–213.

25.

Karnik

(2006). Skill shortage: The looming challenge for India. Siliconindia, 10, 8–9.

26.

King

W. R.

, & He

(2006). A meta-analysis of the technology acceptance model. Information & Management, 43, 740–755.

27.

Krishna

, & Walsham

(2005). Implementing public information systems in developing countries: Learning from a success story. Information Technology for Development, 11, 123–140.

28.

Lee

Kozar

K. A.

, & Larsen

K. R. T.

(2003). The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems, 12, 752–780.

29.

Liaw

, & Huang

(2003). An investigation of user attitudes toward search engines as an information retrieval tool. Computers in Human Behavior, 19, 751–765.

30.

Lin

J. C. C.

, & Lu

(2000). Towards an understanding of the behavioural intention to use a Web site. International Journal of Information Management, 20, 197–208.

31.

Mahmood

Hall

, & Swanberg

D. L.

(2001). Factors affecting information technology usage: A meta-analysis of the empirical literature. Journal of Organizational Computing and Electronic Commerce, 11, 107–30.

32.

Maniar

, & Talapatra

(2002) Are students using Internet for educational purposes? Experiments in Education, 30, 130–135.

33.

Manimekalai

Balasubramani

, & Amsaveni

(2006). Internet use pattern among the students in Annamalai University. SRELS Journal of Information Management, 43, 265–270.

34.

Mehra

, & Mital

(2007). Integrating technology into the teaching-learning transaction: Pedagogical and technological perceptions of management faculty. International Journal of Education and Development Using ICT [Online], 3. http:ijedict.dec.uwi.edu/viewarticle.php?id=265. Retrieved November 28, 2007.

35.

Moon

, & Kim

(2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38, 217.

36.

Mulla

K. R.

, & Chandrashekara

(2006). Internet users: Mysore University campus (India). SRELS Journal of Information Management, 43, 243–263.

37.

Musa

P. F.

Meso

, & Mbarika

V. W.

(2005). Toward sustainable adoption of technologies for human development in Sub-Saharan Africa: Precursors, diagnostics, and prescriptions. Communications of the Association for Information Systems, 15, 592–608.

38.

National Computer Board. (2007a). The Cyber Caravan. Available online at: http://www.gov.mu/portal/site/ncbnew?content_id=c1b1ab8d89b68010VgnVCM100000ca6a12acRCRD. Retrieved November 23, 2007.

39.

National Computer Board. (2007b). The National Computer Board (NCB) and ARCTIC of Reunion Island will soon sign a partnership agreement for the creation of a ‘force des Mascareignes’ (a common platform for Mauritius and Reunion island) in the ICT sector. News and Events. Available online at: http://www.gov.mu/portal/site/ncbnew?content_id=099061199c72110VgnVCM1000000a04a8c0RCRD. Retrieved November 16, 2007.

40.

Nunnally

J. C.

(1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.

41.

Ahn

, & Kim

(2003). Adoption of broadband Internet in Korea: The role of experience in building attitudes. Journal of Information Technology, 18, 267–281.

42.

Pal

(2003). The developmental promise of information and communications technology in India. Contemporary South Asia, 12, 103–119.

43.

Rodrigues

A. J.

, & Govinda

(2003). Towards an integrated management information Internet: A case of the University of Mauritius. Information Technology for Development, 10, 41–56.

44.

Rose

G. M.

Evaristo

, & Straub

(2003). Culture and consumer responses to Web download time: A four-continent study of mono and polychronism. IEEE Transactions on Engineering Management, 50, 31–44.

45.

Santally

, & Raverdy

(2006). The Master's program in computer-mediated computer communications: A comparative study of two cohorts of students. Educational Technology Research & Development, 54, 312–326.

46.

Schepers

, & Wetzels

(2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & Management, 44, 90–103.

47.

Selim

H. M.

(2003). An empirical investigation of student acceptance of course Websites. Computers & Education, 40, 343–360.

48.

Senteni

(2006). Information and communications technology integration and developmental intervention: Enabling knowledge creation and capacity building in developing countries' organizations. Educational Technology Research & Development, 54, 300–311.

49.

Seyal

A. H.

, & Pijpers

G. G. M.

(2004). Senior government executives' use of the Internet: A Bruneian scenario. Behaviour & Information Technology, 23, 197–210.

50.

Sriram

, & Doraiswamy

(2006). Pattern of usage of various electronic media by higher education students. International Journal of Education and Development Using ICT [Online], 2(4). Available online at: http://ijedict.dec.uwi.edu/viewarticle.php?id=239 (accessed November 23, 2007).

51.

Straub

Keil

, & Brenner

(1997). Testing the technology acceptance model across cultures: A three country study. Information & Management, 33, 1–11.

52.

Strite

, & Karahanna

(2006). The role of espoused national cultural values in technology acceptance. MIS Quarterly, 30, 679–704.

53.

Sun

, & Zhang

(2006). The role of moderating factors in user technology acceptance. International Journal of Human-Computer Studies, 64, 53–78.

54.

Tadasad

P. G.

, & Shreedhar

(2006). User behaviour on the Web in a university environment: A case study. DESIDOC Bulletin of Information Technology, 26, 13–21.

55.

Taylor

, & Todd

P. A.

(1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6, 144–176.

56.

University Grants Commission. (2005). NASSCOM inks MoU with UGC for strengthening development of IT workforce. March 16. Available online at: www.ugc.ac.in/new_initiatives/nasspress.pdf. Retrieved November 28, 2007.

57.

Venkatesh

, & Davis

F. D.

(2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46, 186–204.

58.

Venkatesh

Morris

M. G.

Davis

G. B.

, & Davis

F. D.

(2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425–477.

59.

Wignaraja

(2002). Firm size, technological capabilities and market-oriented policies in Mauritius. Oxford Development Studies, 30, 87–104.

60.

Zhao

Kim

Suh

, & Du

(2007). Social institutional explanations of global Internet diffusion: A cross-country analysis. Journal of Global Information Management, 15, 28–55.