Investigating a Theoretical Framework for E-book Technology Acceptance

Moamar Elyazgi, Othman Ibrahim, Mehrbakhsh Nilashi, Salem Elyazgi, Waheeb Abu-Ulbeh, Abdallah Rayhan

Abstract


Nowadays, the schools pay attention to use the technology, which is still in growing. Electronic book or (e-book) technology becomes as an important tool in learning to help the school children in their learning. Although A few schools have adopted the e-book technology in Malaysia, consequently this research purpose is to provide more investigation to the literature review of e-book technology acceptance and adoption in Malaysian schools. This study introduces a new integration of Child Computer Interaction (CCI) and Technology Acceptance Model (TAM) to address the adoption and acceptance of e-book technology by school children at schools in Malaysia. This study discusses and explains the key idea of by what method to formulate a theoretical framework of technology acceptance. In the theoretical framework, the main constructs that are expected to influence behaviour intention use of e-book at Malaysian schools will be proposed and discussed. Therefore, it is hoped that this study has presented some insights and directions for future research to demonstrate the relationship existing in our new proposed research theoretical framework where the schools by paying attention may take an action in order to achieve a better e-book technology adoption and acceptance decision making

Full Text:

Abstract PDF

References


Ajzen, I. and Fishbein, M. (1980). Understanding attitudes and predicting social. Behaviour. Englewood Cliffs, NJ: Prentice-Hall.

Anjaneyulu, K., Singer, R. and Harding, R. (1998). Usability studies of a remedial multimedia system. Journal of Educational Multimedia and Hypermedia, 7(2), 207-236.

Cavanaugh, C. and Cavanaugh, T. (2002). eBooks for Education. Paper presented at the Society for Information Technology & Teacher Education International Conference 2002, Nashville, Tennessee, USA.

Cheon, J. and Grant, M. M. (2012). The effects of metaphorical interface on germane cognitive load in web-based instruction. Educational Technology Research and Development, 60(3), 399-420.

Davis Jr, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Massachusetts Institute of Technology.

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

Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace1. Journal of applied social psychology, 22(14), 1111-1132.

Deep, M. T. S. (1997). Toward Every-Citizen Interfaces to the Nation’s Information Infrastructure. Computer Science and Telecommunications Board, National Research Council, National Academy Press.

Deshpande, Y., Bhattacharya, S. and Yammiyavar, P. (2012). A behavioral approach to modeling Indian children's ability of adopting to e-learning environment. Proceedings of the 2012 Intelligent Human Computer Interaction (IHCI), 2012 4th International Conference on. 27-29 Dec. 2012. 1-7.

Dillon, A. and Morris, M. G. (1998). From" can they" to" will they?": Extending usability evaluation to address acceptance.

Dix, A., Finlay, J. E., Abowd, G. D. and Beale, R. (2003). Human-Computer Interaction (3rd Edition): Prentice-Hall, Inc.

Elyazgi, M.G.B., Mahrin, M. N. r., Rahim, N. Z. A. and Imtiaz, M. A. (2014). Feasibility Study of Tablet PC Acceptance Among School Children in Malaysia. Jurnal Teknologi, 69(2).

Fahmy, S., Haslinda, N., Roslina, W. and Fariha, Z. (2012). Evaluating the Quality of Software in e-Book Using the ISO 9126 Model. International Journal of Control and Automation, 5(2), 115-122.

Felvégi, E. and Matthew, K. I. (2012). eBooks and Literacy in K–12 Schools. Computers in the Schools, 29(1-2), 40-52.

Fishbein, M. and Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley. Attitude, Intention and Behavior: An Introduction to Theory and Research Reading, MA: Addison-Wesley, 6.

Fridin, M. and Belokopytov, M. (2014). Acceptance of socially assistive humanoid robot by preschool and elementary school teachers. Computers in Human Behavior, 33(0), 23-31.

Gerlach, J. and Buxmann, P. (2013). Analyzing Electronic Book Acceptance: A Compatibility Perspective. Proceedings of the 2013 System Sciences (HICSS), 2013 46th Hawaii International Conference on. 7-10 Jan. 2013. 2813-2822.

Heijden, H. v. d. (2004). User Acceptance of Hedonic Information Systems. MIS Quarterly, 28(4), 695-704.

Helander, M. G., Landauer, T. K. and Prabhu, P. V. (1997). Handbook of human-computer interaction: Elsevier.

Hiramatsu, A. and Nose, K. (2013). Behavior Analysis of Video Hosting Website Users Based on an Extended Technology Acceptance Model. In T. Matsuo & R. Colomo-Palacios (Eds.), Electronic Business and Marketing (Vol. 484, pp. 125-136): Springer Berlin Heidelberg.

Hussey, J. H., R. (1997). Business research: a practical guide for undergraduate and postgraduate students. Macmillan Press LTD, Basingstoke, Hampshire.

Keil, M., Beranek, P. M. and Konsynski, B. R. (1995). Usefulness and ease of use: field study evidence regarding task considerations. Decision Support Systems, 13(1), 75-91.

Kucirkova, N., Messer, D., Sheehy, K. and Fernández Panadero, C. (2014). Children's engagement with educational iPad apps: Insights from a Spanish classroom. Computers & Education, 71, 175-184.

Lee, M. K. O., Cheung, C. M. K. and Chen, Z. (2005). Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation. Information & Management, 42(8), 1095-1104.

Lee, Y., Kozar, K. A. and Larsen, K. R. T. (2003). THE TECHNOLOGY ACCEPTANCE MODEL: PAST, PRESENT, AND FUTURE. [Article]. Communications of the Association for Information Systems, 12, 752-780.

Lester, J., C., W. and Koehler, J. (2007). Fundamentals of Information Studies: Understanding Information and Its Environment, Second Edition: Neal-Schuman Publishers, Inc.

Malhotra, Y. and Galletta, D. F. (1999). Extending the technology acceptance model to account for social influence: theoretical bases and empirical validation. Proceedings of the 1999 Systems Sciences, 1999. HICSS-32. Proceedings of the 32nd Annual Hawaii International Conference on, 14 pp.

Markopoulos, P., Read, J., Hoÿsniemi, J. and MacFarlane, S. (2008). Child computer interaction: advances in methodological research. Cognition, Technology & Work, 10(2), 79-81.

Nielsen, J. (1994). Usability engineering: Elsevier.

Noor, A. M., Embong, A. M. and Abdullah, M. R. T. L. (2012). E-Books in Malaysian Primary Schools: The Terengganu Chapter.

Phillips, D. (2012). How to develop a user interface that your real users will love. Computers in Libraries, 32(7), 6-15.

Ramayah, T. and Ignatius, J. (2005). Impact of perceived usefulness, perceived ease of use and perceived enjoyment on intention to shop online. ICFAI Journal of Systems Management (IJSM), 3(3), 36-51.

Ronimus, M., Kujala, J., Tolvanen, A. and Lyytinen, H. (2014). Children's engagement during digital game-based learning of reading: The effects of time, rewards, and challenge. Computers & Education, 71, 237-246.

Roskos, K., Burstein, K., Shang, Y. and Gray, E. (2014). Young Children’s Engagement With E-Books at School. SAGE Open, 4(1).

Roslina, W., Fariha, Z., Haslinda, N. and Fahmy, S. (2014). Evaluating of Teacher’s Acceptance of e-Book: A Case Study.

Sekaran, U. (2003). Research Methods of Business-A Skill-Building Approach.

Shackel, B. (1991). Usability-context, framework, definition, design and evaluation. Human factors for informatics usability, 21-37.

Sharp, H., Rogers, Y. and Preece, J. (2007). Interaction design: beyond human-computer interaction. 2002.

Shroff, R. H., Deneen, C. and Ng, E. M. (2011). Analysis of the technology acceptance model in examining students' behavioural intention to use an e-portfolio system. Australasian Journal of Educational Technology, 27(4), 600-618.

Standardization, I. O. f. (1998). ISO 9241-11: Ergonomic Requirements for Office Work with Visual Display Terminals (VDTs): Part 11: Guidance on Usability.

Stephanidis, C. (2000). User interfaces for all: concepts, methods, and tools: CRC Press.

Taylor, S. and Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176.

Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS quarterly, 695-704.

Venkatesh, V. and Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273-315.

Venkatesh, V. and Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204.

Wang, C.-M. and Huang, C.-H. (2015). A study of usability principles and interface design for mobile e-books. Ergonomics, (ahead-of-print), 1-13.

Warshaw, P. R. and Davis, F. D. (1985). Disentangling behavioral intention and behavioral expectation. Journal of experimental social psychology, 21(3), 213-228.

Zin, S. M. S. (2003). Reforming the science and technology curriculum: The Smart School Initiative in Malaysia. Prospects, 33(1), 39-50.


Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.