Determinants of the Use of Technological Innovation in Distance Learning: A Study with Business School Instructors

Edvalda ARAÚJO Leal; Alberto LUIZ Albertın

doi:10.17718/tojde.70207

EN

Determinants of the Use of Technological Innovation in Distance Learning: A Study with Business School Instructors

Abstract

This study’s overall purpose is to identify the factors determining the use of technological innovation in Distance Learning (DL), as perceived by instructors of Business Education programs. The theoretical basis for the study is the Innovation Diffusion Theory (IDT). The study’s sample is made up of 436 instructors; we used a quantitative approach and applied Confirmatory Factor Analysis and multiple regression. We found that not all of the attributes selected for analysis as proposed by IDT showed a direct effect for the use of innovation for the instructors investigated. The identified attributes were: compatibility, which shows how consistent innovation is with their values, practices and needs; relative advantage, indicating an innovation’s perceived improvement from its predecessor; and demonstrated results, according to which instructors understand the tangible results obtained from the use of innovation.

Keywords

Instructors; Diffusion of Innovation Theory; Distance Learning.

References

Agarwal, R. & Karahanna, E. ( 2000).Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, v.24, n.4, p.665-694.
Agarwal, R. & Prasad, J. (1997). The role of innovation characteristics and perceived voluntariness in the acceptance of information technology.Decision Science, v. 28, n. 3, p. 557-582.
Agarwal, R. & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, v. 30, n. 2, p. 361-91.
Bagozzi, Richard P. & Philips, L.W. (September, 1982). Representing and testing organizational theories: a holistic construal. Administrative Science Quarterly, v.27, n.3, p.459-489.
Behar, P. A. (2008). Modelos Pedagógicos em Educação a Distância.Porto Alegre: Artmed.
Brown, T. (2006). Confirmatory factor analysis: for applied research. New York: Guilford Publications.
Chen, J. V.; Yen, D. C. & Chen, K. (2009). The acceptance and diffusion of the innovative smart phone use: a case study of a delivery service company in logistics. Information & Management, v. 46, p. 241-248.
Cheng, B., Wang, M., Yang, S., & Peng, K. (2011). Acceptance of competency-based workplace e- learning systems: Effects of individual and peer learning support. Computers & Education, v. 57, n. 2, p. 1317-1333.
Compeau, D.R., Meister, D.B. & Higgins, C.A. (2007). From prediction to explanation: reconceptualizing and extending the perceived characteristics of innovating. Journal of the Association for Information Systems, v. 8, n. 8, p. 409-439.
Davis, F. D., Bagozzi, R. P. & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, v. 35, n. 8, p. 982-1003.

Dong, L., Sun, H. & Fang, Y. (2007). Do perceived leadership behaviors affect user technology beliefs? An examination of the impact of project champions and direct managers. Communications of the Association for Information Systems, v. 19, p. 655-664.
Fornell, C., Larcker, D. F. (1981). Evaluating Structural Equations Models with Unobservable
Variables and Measurement Error. Journal of Marketing, v.18, n.1, p.39-50. Gong, M, Xu, Y & Yu, Y. (2004). An enhanced technology acceptance model for web-based learning. Journal of Information Systems Education. v. 15, n. 4, p.365.
Hair J. F. Jr., Anderson; R. E.; Tatham, R. L & Black, W. C. (2009). Análise Multivariada de dados. ed. Porto Alegre: Bookman.
He, Q., Duan, Y., Fu, Z. & Li, D. (2006). An innovation adoption study of online e-payment in
Chinese companies. Journal of Electronic Commerce in Organizations, v. 4, n. 1, p. 48-69. Holak, S., Lehmann, D. R. (1990). Purchase Intentions and Dimensions of Innovation: An
Exploratory Model. Journal of Product Innovation Management, v.7, p. 59-73. Hong, J., Hwang, M., Hsu, H., Wong, W., & Chen, M. (2011). Applying the technology acceptance model in a study of the factors affecting usage of the Taiwan digital archives system. Computers & Education, v. 57, n. 3, p. 2086-2094.
Huang, A., Yang, S., & Liaw, S. A. (2012). Study of user’s acceptance on situational mashups in situational language teaching. British Journal of Education Technology, v. 43, n.1, p.52.
Huertas, A. (2007). Teaching and learning logic in a virtual learning environment. Oxford
University Press, v. 15, n. 4, p.321-331. Huff. S. L., Mcnaughton, J. ( 1991). You and the computer; Diffusion of an Information Technology
Innovation. Business Quarterly. London: Summer, v.56, n.1. Karahanna, E.; Straub, D. W.; Chervany, N. L. (1999). Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly, v. 23, n. 2, p. 183-213.
Kenski, V. M. Tecnologias e Ensino Presencial e a Distância. (2009). 7ª ed. Campinas: Papirus.
Kline, R. B. (2005). Principles and Practice of Structural Equation Modeling.2. ed. New York,
London: The Guilford Press. Lewis, W., Agarwal, R. & Sambamurthy, V. (2003). Information Technology Use: An Empirical
Study of Knowledge Workers. MIS Quarterly, v. 27, n.4, p. 657-678. Masetto, M. T. (2003). Competência Pedagógica do Professor Universitário. São Paulo: Summus.
Malhotra, N. K., Rocha, I., Laudisio, M.C., Altheman, E., & Borges, F.M. (2005). Introdução à
Pesquisa de Marketing. São Paulo: Pearson Prentice Hall. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, v.2, p. 173-191.
Moore, G. C. & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, v. 2, n. 3.
Pituch, K. A., Lee, Y. (2006). The influence of system characteristics on e-learning use. Computer & Education, v. 47, n. 2, p. 222-244.
Plouffe, C. R., Hulland, J. & Vandenbosch, M. (2001). Richness versus Parsimony in
Modeling Technology Adoption Decisions: Understanding Merchant Adoption of a Smart Card- Based Payment System. Information Systems Research, v.12, n.2, p.208-222. Rogers, E. M. (1983). Diffusion of innovation. 3. edition. New York: The Free Press.
Sugar, W., Crawley, F. & Fine, B. (2005). Critiquing Theory of Planned Behaviour as a method to assess teachers’ technology integration attitudes. British Journal of Educational Technology, v.36, n.2, p. 331-334.
Teo, T., Noyes, J. (2011). An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach. Computers & Education, v. 57, n. 2, p. 1645-1653.
Venkatesh, V. & Davis, F. D. (2000). A theoretical extension of the technology acceptance model:
Four longitudinal field studies. Management Science, v. 46, p. 186–204. Venkatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D. (2003). User acceptance of Information
Technology: toward a unified view. MIS Quarterly, v. 27, n. 3, p. 425-478. Welsh, E. T., Wanberg, C. R., Brown, E. G. & Simmering, M. J. (2003). E-learning: emerging uses, empirical results and future directions. International Journal of Training and Development, v.7, p. 245–258.
Zabalza, M. A. (2006). Competencias docentes del profesorado universitario. Calidad y desarrollo profesional. Madrid-Es.: Editora Narcea.

Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

Edvalda ARAÚJO Leal This is me

Alberto LUIZ Albertın This is me

Publication Date

February 27, 2015

Submission Date

February 27, 2015

Acceptance Date

-

Published in Issue

Year 2015 Volume: 16 Number: 1

DOI

https://doi.org/10.17718/tojde.70207

IZ

https://izlik.org/JA27GG97EU

APA

Leal, E. A., & Albertın, A. L. (2015). Determinants of the Use of Technological Innovation in Distance Learning: A Study with Business School Instructors. Turkish Online Journal of Distance Education, 16(1), 19-37. https://doi.org/10.17718/tojde.70207

AMA

1.Leal EA, Albertın AL. Determinants of the Use of Technological Innovation in Distance Learning: A Study with Business School Instructors. TOJDE. 2015;16(1):19-37. doi:10.17718/tojde.70207

Chicago

Leal, Edvalda ARAÚJO, and Alberto LUIZ Albertın. 2015. “Determinants of the Use of Technological Innovation in Distance Learning: A Study With Business School Instructors”. Turkish Online Journal of Distance Education 16 (1): 19-37. https://doi.org/10.17718/tojde.70207.

EndNote

Leal EA, Albertın AL (March 1, 2015) Determinants of the Use of Technological Innovation in Distance Learning: A Study with Business School Instructors. Turkish Online Journal of Distance Education 16 1 19–37.

IEEE

[1]E. A. Leal and A. L. Albertın, “Determinants of the Use of Technological Innovation in Distance Learning: A Study with Business School Instructors”, TOJDE, vol. 16, no. 1, pp. 19–37, Mar. 2015, doi: 10.17718/tojde.70207.

ISNAD

Leal, Edvalda ARAÚJO - Albertın, Alberto LUIZ. “Determinants of the Use of Technological Innovation in Distance Learning: A Study With Business School Instructors”. Turkish Online Journal of Distance Education 16/1 (March 1, 2015): 19-37. https://doi.org/10.17718/tojde.70207.

JAMA

1.Leal EA, Albertın AL. Determinants of the Use of Technological Innovation in Distance Learning: A Study with Business School Instructors. TOJDE. 2015;16:19–37.

MLA

Leal, Edvalda ARAÚJO, and Alberto LUIZ Albertın. “Determinants of the Use of Technological Innovation in Distance Learning: A Study With Business School Instructors”. Turkish Online Journal of Distance Education, vol. 16, no. 1, Mar. 2015, pp. 19-37, doi:10.17718/tojde.70207.

Vancouver

1.Edvalda ARAÚJO Leal, Alberto LUIZ Albertın. Determinants of the Use of Technological Innovation in Distance Learning: A Study with Business School Instructors. TOJDE. 2015 Mar. 1;16(1):19-37. doi:10.17718/tojde.70207

Cited By

Unpacking business, management, and entrepreneurship education online: Insights from a hybrid literature review

The International Journal of Management Education

https://doi.org/10.1016/j.ijme.2023.100812

Exploring Perspectives of Secondary School Teachers on Technology Integration in Education During Pandemic

Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi

https://doi.org/10.18506/anemon.821577