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ACRL (2011) Information Literacy Standards for Teacher Education EBSS Instruction for Educators Committee 2006‐2007 – 2010‐2011 Approved by the ACRL Board of Directors at the Spring Executive Committee Meeting May 11, 2011. Retrieved 26/03/14, from http://www.ala.org/acrl/sites/ala.org.acrl/files/content/standards/ilstandards_te.pdf

Aggorowati, M. A., Suhartono, N. I and Gautama, H (2012) Restructuring and Expanding Technology Acceptance Model Structural Equation Model and Bayesian Approach. American Journal of Applied Sciences. Vol. 9 (4)

Ajzen I (2006) The theory of planned behaviour. Retrieved 02/05/2015, from http://sphweb.bumc.bu.edu/otlt/MPH-Modules/SB/SB721-Models/SB721-Models3.html

Ajzen, Icek (1991). The theory of planned behaviour. Organizational Behaviour and Human Decision Processes 50 (2): 179–211

Andersson, B., & Beveridge, A. (2007). A guide to assessments and skills in SCCA (2nd ed.) Perth, WA: Edith Cowan University. Retrieved 30/08/2013. from http://intranet.ecu.edu.au/__data/assets/pdf_file/0011/20621/literature_review.pdf

Andretta, S (2008) Phenomenography: a conceptual framework for information literacy education. Retrieved 04/06/2015, https://www.academia.edu/5264424/Phenomenography_a_conceptual_framework_for_information_literacy_education

Andrew, R and Lyn R, (2013) "Building on models of information behaviour: linking information seeking and communication", Journal of Documentation, Vol. 69 (2)

Aypay, A, Çelik, H. C. Aypay, A (and) Sever, M. (2012) Technology Acceptance in Education: A Study Of Pre-Service Teachers In Turkey. TOJET: The Turkish Online Journal of Educational Technology. Volume 11 Issue 4

Bagozzi, R. 2007. The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, Vol. 8 (4), 244-254.

Benbasat, I., and Barki, H. (2007). Quo vadis, TAM?. Journal of the Association for Information Systems, Vol. 8, 211–218.

Berna-Martinez, J. V and Macia-Perez, F (2012) Overcoming resistance to change in business innovation processes. International Journal of Engineering and Technology (IJET). Vol . 4 (3).

Bertrand, M and Bouchard, S (2008) applying the technology acceptance model to VR with people who are favourable to its use. Journal o f Cyber Therapy & Rehabilitation. Volume 1(1)

Bilandzic, M., and Johnson, D. (2013). Hybrid placemaking in the library: designing digital technology to enhance users' on-site experience. Australian Library Journal, 62(4), 258-271. doi:10.1080/00049670.2013.84507

Chikonzo, A., Bothma, T., Kusekwa, L., & Mushowani, A. (2014). An Assessment of the Changing Needs of Information Professionals in Zimbabwe. African Journal of Library, Archives & Information Science, 24(1), 107-118.

Choo, C. W., & Nadarajah, I. (2014). Early warning information seeking in the 2009 Victorian Bushfires. Journal of the Association for Information Science & Technology, Vol. 65 (1), 84-97. doi:10.1002/asi.22952

Chung-Kuang, H. (2014). User Acceptance of Business Intelligence Systems in Taiwan's Electronics Industry. Social Behaviour and Personality: An International Journal, 42(4), 583-596. doi:10.2224/sbp.2014.42.4.583

Chuttur, M (2009) Overview of the Technology Acceptance Model: Origins, Developments and Future Directions. Sprouts: Working Papers on Information Systems. Accessed 16/02/2015, from http://sprouts.aisnet.org/785/1/TAMReview.pdf

Curry, J. M; McGregor, C and Tracy, S (2007). A system Development Life Cycle Approach to Patient. Journal Modelling Projects. IOS Press

Davis, E. L.; Lundstrom, K; Martin, P. N.,(2011) "Librarian Perceptions and Information Literacy Instruction Models". Library Faculty and Staff Publications. Paper 106. Accessed on 04/03/2015, from http://digitalcommons.usu.edu/lib_pubs/106

Davis, F. D. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly. Volume 13 Issue 3

Dennis, A Wixom B. H, and Roth R. M. (2012). Systems analysis and design. (5th ed) John Wiley and Sons, Inc

Dexter, S. L. Anderson, R. E. (And) Ronnkvist, A. M. (2002). Quality Technology Support: What Is It? Who Has It? And What Difference Does It Make? Journal of Educational Computing Research, Vol. 26(3). Retrieved 22/01/2014, from http://sdexter.net/xyz/DexterSupport.pdf

Diehm, Rae-Anne and Lupton, Mandy (2012) Approaches to learning information literacy: a phenomenographic study. The Journal of Academic Librarianship, 38(4), pp. 217-225.

Ducey, Adam J., "Predicting Tablet Computer Use: An Extended Technology Acceptance Model" (2013). Graduate Theses and Dissertations. Retrieved on 01/03/2015, from http://scholarcommons.usf.edu/etd/4471

Dupin-Bryant, P (2002) Reducing Computer Anxiety in Adult Microcomputer Training. Retrieved 15/01/2014, from http://www.joe.org/joe/2002october/tt3.php

Erişti, S. D., Kurt, A. A. and Dindar, M (2012) Teachers’ Views about Effective Use of Technology in Classrooms. Turkish Online Journal of Qualitative Inquiry. Vol. 3(2)

Fishbein, M and Ajzen, I (2010) Predicting and changing behaviour the reasoned action approach. Taylor and Francis.

Garg, A. K and Garg, D (2013). An Assessment of 3G Internet Service Acceptance in Botswana: Technology Acceptance Model with Social Influence and Price Perception. Pakistan Journal of Social Sciences (PJSS) Vol. 33 (1)

Girard, J. and Allison, M. (2008) “Information Anxiety: Fact, Fable or Fallacy.” The electronic journal of knowledge management. Vol. 6 (2). Pp. 111 – 124

Hicks, S. D. (2011). Technology in Today's Classroom: Are You a Tech-Savvy Teacher? Clearing House, 84(5), 188-191. doi:10.1080/00098655.2011.557406

Hingarh, V and Ahmed A (2013) understanding and conducting information system auditing. John Wiley and Son Inc.

Holden and Karsh (2010). The Technology Acceptance Model: Its Past and Its Future In Health Care. Journal Biomed Information, Vol. 43 (1).

Hong, S. J., Thong J. Y. L., and Tam, K. Y. 2006. “Understanding Continued Information Technology Usage Behaviour: A Comparison of Three Models in the Context of Mobile Internet,” Decision Support Systems (42:3), pp. 1819-1834

Huda, N., Rini, N, Mardoni, Y and Putra, P (2012) The Analysis of Attitudes, Subjective Norms, and Behavioral Control on Muzakki’s Intention to Pay Zakah. International Journal of Business and Social Science. VOl. 3 (22)

Hut, P.M (2008) Initiating Phase - Feasibility Study Request and Report. Accessed on 13/06/2016, from http://www.pmhut.com/initiating-phase-feasibility-study-request-and-report

IFLA. (2006). Guidelines on information literacy for lifelong learning. Retrieved 05/50/2015, from http://www.ifla.org/files/assets/information-literacy/publications/ifla-guidelines-en.pdf

Jiang, Y., Chen, D and Lai, F (2010) Technological-Personal-Environmental (TPE) Framework: A Conceptual Model for Technology Acceptance at the Individual Level. International Information Management Association

Jungwirth, B. (2002). Information overload: Threat or Opportunity? Journal of Adolescent and Adult Literacy.

Juutinen, S. Huovinen, T, Yalaho, A (2011) Emotional Obstacle in E-learning - The fear of technology. International Journal for e-Learning Security (IJeLS), Vol. 1, Issues 3/4

Kay, R (2002) System Development Life Cycle. World computer. Accessed on 13/06/2015, from http://www.computerworld.com/article/2576450/app-development/system-development-life-cycle.html

Kendall, G. and Wickham, G (1999) using Foucault's methods. SAGE Publications, p. 163.

Khalil, S. M. (2013). From resistance to acceptance and use of technology in academia. International Council for Open and Distance Education. Vol. 5 (2) Accessed on 24/03/2015, from http://openpraxis.org/index.php/OpenPraxis/article/view/5

Khan, A and Woosley (2011) Comparison of Contemporary Technology Acceptance Models and Evaluation of the Best Fit for Health Industry Organizations. International Journal of Computer Science Engineering and Technology (IJCSET). Vol. 1, (11) Pp. 709-717

Kim, H., and Kankanhalli, A. (2009). Investigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective. MIS Quarterly, 33(3), 567-582.

Kornkaew, A (2012) Management Information System Implementation Challenges, Success Key Issues, Effects and Consequences: A Case Study of Fenix System. Accessed 13/06/2015, from http://www.diva-portal.org/smash/get/diva2:545644/FULLTEXT02

Kurbanoglu, S. S. Akkoyunlu, B and Umay, A (2006) Developing the information literacy self-efficacy scale. "Developing the information literacy self-efficacy scale", Journal of Documentation, Vol. 62 (6) 730 – 743.

Larsson, J and Holmstrom, I (2007) Phenomenographic or phenomenological analysis: does it matter? Examples from a study on anaesthesiologist. International Journal of Qualitative Studies on Health and Well-being.

Liao, L and Pope, J. W. (2008) Computer Literacy for Everyone. Retrieved 20/01/2014, from: http://www.cs.nyu.edu/courses/summer12/CSCI-UA.0004-001/liao_computerLiteracy.pdf

Limberg, L, Sundin, O and Talja, S (2012) Three Theoretical Perspectives on Information Literacy. Accessed 05/03/2015, from http://etjanst.hb.se/bhs/ith/2-11/llosst.pdf

Lincoln, A (2011) FYI: TMI: toward the holistic social theory of information overload. Accessed on 11/10/2013, from http://firstmonday.org/ojs/index.php/fm/article/view/3051/2835

Lisa M. G. (2008). The Sage encyclopaedia of qualitative research methods. Sage publishing Ltd.

Lombardi, M. M. (2007). Authentic Learning for the 21st Century: An Overview . Educare Learning Initiative. Retrieved 02/16, 2015 from https://net.educause.edu/ir/library/pdf/ELI3009.pdf

Marangunic, N and Granic, A (2015) Technology acceptance model: a literature review from 1986 to 2013. University Access Information Society. p.14:81–95

McKinney, Stewart, (2008). CSU Learning Skills: your link to success Academic writing. Retrieved 03/05/2015 http://www.csu.edu.au/__data/assets/pdf_file/0005/82796/LitReview.pdf

Meier, R., Ben, E. R., & Schuppan, T. (2013). ICT-enabled public sector organisational transformation: Factors constituting resistance to change. Information Polity: The International Journal Of Government & Democracy In The Information Age, 18(4), 315-329. doi:10.3233/IP-130315

Mordini, E (2007). Technology and fear: is wonder the key? TRENDS in Biotechnology. Vol.25 No.12, 455 – 546

Mutula, S. M. (2013). The Changing Face of Library and Information Science Profession. African Journal of Library, Archives & Information Science. pp. 89-92.

Nanthida J. B. (2011) Altering User Perceptions of Applications: How System Design Can Impact Playfulness and Anxiety. Retrieved 16/01/2014, from https://ideals.illinois.edu/bitstream/handle/2142/24139/Barranis_Nanthida.pdf?sequence=1

Nastasie, D. L. (2012). Australian information education in the 21st century - the synergy among research, teaching and practice. Education for Information, 29(3), 271-286. doi:10.3233/EFI-130938

Pantano, E and Di Pietro, L (2012) Understanding Consumer’s Acceptance of Technology-Based Innovations in Retailing. Journal of Technology Management and Innovation, Volume 7, (4)

Prensky, M. (2008). The role of technology in teaching and the classroom. Education technology. Accessed 16/02/2015, from http://www.marcprensky.com/writing/Prensky-The_Role_of_Technology-ET-11-12-08.pdf

Priyanka, S and Kumar, A. (2013). Understanding the evolution of Technology acceptance model. International Journal of Advance Research in Computer Science and Management Studies, Vol. 1 (6).

Rivard, S., & Lapointe, L. (2012). Information Technology implementers' responses to user resistance: nature and effects. MIS Quarterly, Vol. 36 (3), 897-A5

Rodney-Wellington, K. (2014). An examination of information literacy instruction on the information-seeking skills of primary school children in Jamaica: an experiment using grade six students. Journal of Information Literacy, Vol. 8 (2), Pp.73-100. doi:10.11645/8.2.1913

Santos, V. Amaral, L and Mamede, H (2015) Information Systems Planning - How to enhance creativity? Accessed on 20/03/2015, from https://www.academia.edu/712907/Information_Systems_Planning__How_to_enhance_creativity

Sasikala, C and Dhanraju, V (2011) Assessment of Information Literacy Skills among Science Students of Andhra University. Library Philosophy and Practice.

SCONUL. (1999). The SCONUL seven pillars of information literacy core model for higher education. Retrieved 02 25, 2015, from http://www.sconul.ac.uk/sites/default/files/documents/coremodel.pdf

Scot, S and Palincsar, A (2013) Sociocultural Theory. Accessed on 05/03/2015, from http://www.education.com/reference/article/sociocultural-theory/

Scottish Information Literacy Project (2013) literacy across learning: information and critical literacy skills CPD for early and first level. The right information: information skill for a 21st century Scotland. Retrieved on 25/02/2015, from http://www.therightinformation.org/realrelevant-importanceof/

Scottish Information Literacy Project (2013) Literacy across learning: information and critical literacy skills CPD for early and first level. Accessed on 04/03/2015, from http://www.therightinformation.org/realrelevant-importanceof/

Sebetci, Ö., & Aksu, G. (2014). Evaluating e-government systems in Turkey: The case of the 'e-movable system'. Information Polity: The International Journal of Government and Democracy In The Information Age, Vol. 19(3/4), 225-243. doi:10.3233/IP-140341

Selvaganapathi, R and Raja, V. P (2012) Technophobia of Higher Secondary School Teachers. International Journal of Teacher Educational Research (IJTER) Vol.1 No.3

Sever, D., & Güven, M. (2014). Effect of Inquiry-based Learning Approach on Student Resistance in a Science and Technology Course. Educational Sciences: Theory & Practice, 14(5), 1601-1605. doi:10.12738/estp.2014.4.1919

Shane, J. (2011) why is information literacy important? Accessed on 04/03.2015, from https://www.philau.edu/infolit/why_students.htm

Siegel, D. M. (2008) accepting technology and overcoming resistance to change using the motivation and acceptance model. Retrieved 03/05/2015, from http://etd.fcla.edu/CF/CFE0002154/Siegel_Daniel_M_200805_PhD.pdf

Suki, N. M and Suki, N. M. (2011) Exploring The Relationship Between Perceived usefulness, Perceived Ease Of Use, Perceived Enjoyment, Attitude And Subscribers’ Intention Towards Using 3g Mobile Services. Journal of Information Technology Management. Vol. 12 (1)

Technology (2010). Encyclopædia Britannica. Encyclopaedia Britannica Student and Home Edition. Chicago: Encyclopædia Britannica

Teo, T. Ursava, F. O. and Bahcekapili, E. (2011). Efficiency of the technology acceptance model to explain pre-service teachers' intention to use technology. International Journal of Information and Learning Technology, Vol. 28 (2), 93 - 101.

Teo, T. (2013). A comparison of non-nested models in explaining teachers' intention to use technology. British Journal of Educational Technology, Vol.44 (3), E81-E84. doi:10.1111/j.1467-8535.2012.01350.x

Thakur, R (2013) Customer Adoption of Mobile Payment Services by Professionals across two Cities in India: An Empirical Study Using Modified Technology Acceptance Model. Business Perspectives and Research.

Torkzadeha, G. (and) Thomas P. V (2002). Effects of training on Internet self-efficacy and computer user attitudes. Retrieved 15/01/2014, from http://csi.ufs.ac.za/resres/files/Torkzadeh.pdf

United Nations Educational Scientific and Cultural Organisation (UNESCO, 2004): Information Literacy for Lifelong Learning. Report to CDNL 2004.

United Nations Educational Scientific and Cultural Organisation (UNESCO, 2008). Information for all programme. Retrieved 18/10/2013, from http://www.unesco.org/new/fileadmin/MULTIMEDIA/HQ/CI/CI/pdf/ifap/meetings/bureau/Proposal%205%20for%20the%20Preparation%20of%20the%20Draft%20Programme%20and%20Budget%202012-2013.pdf

Vanderlinde R, van Braak J. (2013) Technology planning in schools: An integrated research-based model. British Journal of Educational Technology. Vol. 44 (1):E14-E17.

Walker, S.C and Pearson, J (2012) Intent to Use Technology: Facilitation Effect of Group Presence. International Journal of Business Information and Technology. Vol. 1 No. 1, pp. 1-15

Wang, Li, Bruce, Christine S., and Hughes, Hilary E. (2011) Sociocultural theories and their application in information literacy research and education. Australian Academic & Research Libraries, 42(4), pp. 296-308

Wann-Yih, W., & Ching-Ching, K. (2015). An Online Shopping Behavior Model Integrating Personality Traits, Perceived Risk, and Technology Acceptance. Social Behaviour and Personality: An International Journal, Vol. 43 (1), Pp. 85-97. doi:10.2224/sbp.2015.43.1.85

Wen, Y and Kwon, O (2010) an empirical study of the factors affecting social network service use. Computers in Human Behaviour.

Wikgren, M (2005) "Critical realism as a philosophy and social theory in information science?” Journal of Documentation, Vol. 61 (1)

Winarto (2011) Analysis Effect of External Variables on System Usage and User Satisfaction Using Technology Acceptance Model (Empirical Study on Bank Pekreditan Rakyat in Semarang City Region). Faculty of Economics, Diponegoro University Semarang

Yeh, R. K and Teng T.C.(2012) Extended conceptualisation of perceived usefulness: empirical test in the context of information system use continuance. Behaviour & Information Technology. Vol. 31 (5)

Yousafzai, S.Y, Foxall, G. R. And Pallister, J. G (2007) Technology acceptance: a meta-analysis of the TAM. Journal of modelling in management. Vol. 2 (3). 251 - 280

Yusoff, M. Y. (2009) Individual Differences, Perceived Ease of Use, and Perceived Usefulness in the E-Library Usage. Journal of Computer and Information Science. Vol 2, No. 1

Zak, E. (2014). Do You Believe in Magic? Exploring the Conceptualization of Augmented Reality and its Implications for the User in the Field of Library and Information Science. Information Technology & Libraries, 33(4), 23-50.

Zhu, D. Linb, C. T and Hsu, Y (2012) Using the technology acceptance model to evaluate user attitude and intention of use for online games. Total Quality Management. Vol. 23, No. 8,

Abstract

Abstract:

The Technology Acceptance Model (TAM) is gaining popularity for understanding the relationship between humans and technology through Perceived Usefulness (PU) and Perceived Ease of Use (PEU). The foremost rationale for adopting the TAM in this study was to present a foundation for ascertaining the impact of external variables on internal beliefs, personal abilities, attitude, mind-set and intention in attaining Information Literacy (IL) skills. The TAM is an information system theory that propagates stages to be followed by information seekers or learners in the acceptance, inculcating and utilisation of new technology to achieve information literacy skills. This study evaluates the TAM’s main variables for Information Literacy acquisition such as: Perceived Usefulness (the intention to use, user training, computer experience, system quality) and Perceived Ease of Use (computer self-efficacy, perception of external control, ease of use, internet self-efficacy, efficacy of library use, computer anxiety, information anxiety, perceived enjoyment and objective usability, behaviour and intention). We intend to contextualise the TAM by analysing and explaining how the variables are applied in relationship to IL among school teachers. The outcome provides a deeper understanding and development of TAM as an appropriate model for Information Communication and Technology for Development (ICT4D)/social informatics/community informatics studies and for explaining the relationship between Information Literacy skills and technology acceptance. The study adopted qualitative content analysis method by selecting journals and conference papers relating to the subject matter of Technology Acceptance, which were evaluated, analyzed and reviewed in detail with regard to information literacy. The study identified resistance to information systems as a main reason for the failure of adoption of new technology in attaining information literacy. It was suggested that appropriate instruction and training on the use of technology and application to real life situation can lead to better information literacy.

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