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Intention to Use Digital Library based on Modified UTAUT Model: Perspectives of Malaysian Postgraduate Students

Authors: Abd Latif Abdul Rahman, Adnan Jamaludin, Zamalia Mahmud

Abstract:

Unified Theory of Acceptance and Use of Technology (UTAUT) model has demonstrated the influencing factors for generic information systems use such as tablet personal computer (TPC) and mobile communication. However, in the context of digital library system, there has been very little effort to determine factors affecting the intention to use digital library based on the UTAUT model. This paper investigates factors that are expected to influence the intention of postgraduate students to use digital library based on modified UTAUT model. The modified model comprises of constructs represented by several latent variables, namely performance expectancy (PE), effort expectancy (EE), information quality (IQ) and service quality (SQ) and moderated by age, gender and experience in using digital library. Results show that performance expectancy, effort expectancy and information quality are positively related to the intention to use digital library, while service quality is negatively related to the intention to use digital library. Age and gender have shown no evidence of any significant interactions, while experience in using digital library significantly interacts with effort expectancy and intention to use digital library. This has provided the evidence of a moderating effect of experience in the intention to use digital library. It is expected that this research will shed new lights into research of acceptance and intention to use the library in a digital environment.

Keywords: Intention to use digital library, UTAUT model, performance expectancy, effort expectancy, information quality, service quality.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1058275

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References:


[1] F. D. Davis, (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. , 13(3), . MIS Quarterly , 13 (3), 319-339.
[2] F. D. Davis, R. P. Bagozzi, & P. R. Warshaw, (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science , 35 (8), 982-1003.
[3] J. Thong, W. Hong, & K. Y. Tam, (2004). What Leads to User Acceptance of Digital Libraries? Communications of ACM , 47 (11), 79-83.
[4] M. Fishbein, & I. Ajzen, (1975). Belief, attitude, intention, and behavior : An introduction to theory and research. Reading, Mass. ; Don Mills, Ontario: Addison-Wesley Pub. Co.
[5] V. Venkatesh, M. G. Morris, G. B. Davis, & F. D. Davis, (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly , 27 (3), 425-478.
[6] C. Borgman, (1999). What Are Digital Libraries? Competing Visions. Information Processing and Management , 35, 227-243.
[7] A. E. Fox, M. R. Akscyn, K. R. Furuta, & J. J. Liggert, (1995). Digital Libraries. Communiction of ACM , 38 (4), 23-28.
[8] K. R. Sharma, & R. K. Vishwanathan, (2001). Digital Libraries: Development and Challenges. Library Review , 50 (1), 10-16.
[9] H. W. De Lone, & R. E. Mc Lean, (1992). Information Systems Success: The Quest for Dependent Variable. Information Systems Research , 3 (1), 60-95.
[10] H. W. Delone, & Mclean, R. E. (2003). The Delone and Mclean model of information systems success: a ten-year review. Journal of Management Information Systems , 19 (4), 9-30.
[11] V. Venkatesh, & F. D. Davis, (2000). Theoretical Extension of the Technology Acceptance Model. Management Science , 46 (2), 186- 204.
[12] Y. Yi, Z. Wu, & L. L. Tung, (2005/2006). How Individual Differences Influence Technology Usage Behaviour? Towards an Integrated Framework. Journal of Computer Information Systems , 46 (2).
[13] A. Burton-Jones, & G. S. Hubona, (2005). Individual Differences and Usage Behaviour: Revisiting a Technology Acceptance Model Assumption. The DATA BASE for Advances in Information Systems , 36 (2), 58-77.
[14] V. Venkatesh, & M. G. Morris, (2000). Why Don-t Men Ever Stop to Ask for Directions? Gender, Social Influence and Their Role in Technology Acceptance and Usage Behaviour. MIS Quarterly , 24 (1), 115-139.
[15] W. H. Delone, (1988). Determinants of Success for Computer Usage in Small Business. MIS Quarterly , 12 (1), 51-61.
[16] M. G. Morris, V. Venkatesh, (2000). Age Differences in Technology Adoption Decisions: Implications for a Changing Work Force. Personnel Psychology , 53 (2), 375-403.
[17] J. E. Bailey, S. W. Pearson, (1983). Development of a tool for measuring user satsiafaction. Management Science , 29, 530-545.
[18] M. W. Bovee, (2004). Information Quality: A Conceptual Framework and Empirical Validation. Ph.D. Disertation, University of Kansas, Lawrence, KS.
[20] B. Stvilia, (2006). Measuring Information Quality. Ph.D disertation, University of Illinois, Urbana Champaign.
[21] E.C. Allen, & R. Kishore, (2006). An Extension of UTAUT Model with E-Quality,Trust and Satisfaction Constructs. SIGMIS-CPR'06.
[22] S. Rotchanakitumnuai, (2005). Exploring the Antecedents of Electronic Service Acceptance:Evidence from Internet Security Trading. Proceedings of the Fourth International Conference oneBusiness. Bangkok,Thailand.
[23] W. Y. T. Hong (2002). Determinants of User Acceptance of Digital Libraries: An empirical examination of individual differences and Systems Characteristics. Journal of Management Information Systems, 18 (3), 94 - 124.
[24] T. Ramayah, J. J. Ma-ruf, L. W. Hang, & S. K. Lin, (2004). Persepsi Pelajar Universiti Sains Malaysia Terhadap Penggunaan Sebenar Perpustakaan Secara Talian. International Journal of Management Studies , 11 (2), 153-169.
[25] S. S. Al-Gahtani, G. S. Hubona, & J. Wang, (2007). Information Technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT. Information and Management .
[26] D. E. Leidner, & T. Kayworth, (2006). Review: A Review of Culture in Information Systems Research: Toward a Theory of Information Technology Culture Conflict. MIS Quarterly , 30 (2), 357-399.
[27] E. W. Baker, S. S. Al-Gahtani, & G. S. Hubona, (2007). The effects of gender and age on new technology implementation in a developing country-Testing the theory of planned behavior (TPB). Information Technology & People , 20 (4), 352-375.
[28] R. C. King, & W. Xia, (1997). Media Appropriateness: Effects of Experience on Communication Media Choice. Decision Sciences , 28 (4), 877- 910.
[29] S. Rivard, & S. Huff, (1988). Factors of Success for End-user Computing. Communications of the ACM , 31 (5), 552-561.
[30] S. Wangpipatwong, W. Chutimaskul, & B. Papasratorn, (2009). Quality enhancing the continued use of e-goverment web sites: evidence from e-citizens of Thailand. International Journal of Electronic Goverment Research , 5 (1), 19-35.
[31] H. F. Lin, & G. G. Lee, (2006). Determinants of success for online communities: an empirical study. Behaviour & Information Technology, , 25 (6), 479 - 488.
[32] A. L. Halawi, V. R. Mccarthy, & E. J. Aronson, (2007). An empirical investigation of knowledge-management systems- success. The Journal of Computer Information Systems , 48 (2), 121-135.