Exploring Effect Factors of E-Learning Behavioral Intention on Cross-Level Analysis

Pei Wen Liao; Chien Yu; Chin Cheh Yi

doi:10.4028/www.scientific.net/AMR.204-210.174

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Exploring Effect Factors of E-Learning Behavioral Intention on Cross-Level Analysis
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 204-210Exploring Effect Factors of E-Learning Behavioral...

Exploring Effect Factors of E-Learning Behavioral Intention on Cross-Level Analysis

Abstract:

The study, based on the unified theory of acceptance and use of technology (UTAUT), investigates the determinants of e-learning acceptance. We create a cross-level variable of the incentive and social influence to explore with the other variable context effect and the interaction effects in the acceptance of e-learning. Data collected from 932 respondents in Taiwan were tested against the research model using the hierarchical linear model approach. This model improved Yu, Liao, Wen’s research to detailed intended the learning environment. The results showed that individual-level variables (performance expectations, effort expectancy, perceived behavioral control), and group-level variables (incentive, social influence) have a positive effect on behavioral intention. The incentive has an effect on behavioral intention through the moderating role of manager influence.

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Periodical:

Advanced Materials Research (Volumes 204-210)

Pages:

174-177

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https://doi.org/10.4028/www.scientific.net/AMR.204-210.174

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Online since:

February 2011

Authors:

Pei Wen Liao, Chien Yu, Chin Cheh Yi

Keywords:

E-Learning, Incentive, Unified Theory of Acceptance, Use of Technology Model

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References

[1] D. Siegel: From the Guest Editors: New Development in Technology Management Education, academy of Management Learning and Education, Vol. 8, No. 3 (2009), pp.321-323.

DOI: 10.5465/amle.2009.44287933

Google Scholar

[2] S. Liaw and H. Huang: How web technology can facilitate learning, Information Systems Management, Vol. 19, No. 1 (2002), pp.56-61.

DOI: 10.1201/1078/43199.19.1.20020101/31477.8

Google Scholar

[3] V. Venkatesh, M. G. Morris, G. B. Davis and F. D. Davis: User acceptance of information technology: toward a unified view. MIS Quarterly, Vol. 27, No. 3(2003), p.425–478.

DOI: 10.2307/30036540

Google Scholar

[4] N. Sclater, H. Grierson, W. J. Ion and S. P. MacGregor: Online collaborative design projects: overcoming barriers to communication. International Journal of Engineering Education, Vol. 17, No. 2, (2001), p.189–196.

Google Scholar

[5] A. N. Shaikh and L. Macauley: Integrating groupware technology into a learning environment. Association for Learning Technology Journal, Vo. 9, No. 2 (2001), p.47–63.

Google Scholar

[6] K. Sikkel, L. Gommer and J. van der Veen: Using shared workspaces in higher education. Innovations in Education and Teaching International, Vol. 39, No. 1, (2002), p.26–45.

DOI: 10.1080/13558000110097073

Google Scholar

[7] C. C. Yu, P. W. Liao and F. H. Wen: The study of the employee use e-learning behavior of influencing factors on multi-level analysis: the basis of UTAUT model, Technology Innovation and Industrial Management 2010. Pattaya, 16-18 June (2010).

Google Scholar

[8] S. W. Raudenbush and A. S. Bryk: Hierarchical linear models: Application and data analysis methods. Thousand Oaks: Sage Publications (2002).

Google Scholar

[9] D. A. Hofmann and A. Stetzer: A cross-level investigation of factors influencing unsafe behaviors and accidents. Personnel Psychology, Vol. 49 (1996), p.307–339.

DOI: 10.1111/j.1744-6570.1996.tb01802.x

Google Scholar