Intention to Use Digital Library based on Modified UTAUT Model: Perspectives of Malaysian Postgraduate Students
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.
[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.
[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.
@article{"International Journal of Business, Human and Social Sciences:52108", author = "Abd Latif Abdul Rahman and Adnan Jamaludin and Zamalia Mahmud", title = "Intention to Use Digital Library based on Modified UTAUT Model: Perspectives of Malaysian Postgraduate Students", 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.", volume = "5", number = "3", pages = "283-7", }
