Abstract
This chapter explains the process of empirical evidence: how the data was prepared and analyzed. It first presents the descriptive analysis of (i) demographic data including age, experience, and cultural dimensions and (ii) core variables including effort expectancy, performance expectancy, social influence, facilitating conditions, hedonic motivation, and habit. In addition to data normality tests, reliability tests, and validity tests, the goodness of fit model and path model’s execution are described in this chapter.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Anderson, J., & Gerbing, D. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psy- Chol Bull, 103, 411–423.
Azzalini, A., & Capitanio., A. (1999). Statistical applications of the multivariate skew normal distribution. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 61(3), 579–602. http://www.jstor.org/stable/2680724?seq=1#page_scan_tab_contents.
Bagozzi, R. P., Yi, Y. P. L. (1991). Assessing construct validity in organizational research. Admin Sci Q, 36(421–58).
Baumgartner, H., & Homburg, C. (1996). Applications of structural equation modeling in marketing and consumer research. A Review’, International Journal of Research in Marketing, 13, 139–161.
Bentler, P. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238–246.
Blunch, N. J. (2013). Introduction to structural equation modeling using IBM SPSS statistics and amos. SAGE Publications.
Byrne, B. M. (2010). Structural equation modeling with amos: Basic concepts, applications, and programming (2nd ed.). Taylor and Francis Group.
Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245–276.
Field, A. (2009). Discovering statistics using SPSS. Sage publications.
Fındık, D., & Özkan, S. (2010). Identifying success factors for WBLMS use by instructors of engineering departments (pp. 1–7).
Gaskin, J. (2012). Stats Wiki and Stats tools package. http://statwiki.kolobkreations.com/.
George, D., & Mallery, P. (2003). SPSS for windows step by step: A simple guide and reference (4th ed.). Allyn and Bacon.
Green, S. B., & Salkind. (2005). Salkind. Using SPSS for windows and macintosh. Prentice Hall.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective. Basım: Pearson Education Inc.
Hussain, M., Khan, M., & Al-Aomar, R. (2016). A framework for supply chain sustainability in service industry with confirmatory factor analysis. Renewable and Sustainable Energy Reviews, 55, 1301–1312. https://doi.org/10.1016/j.rser.2015.07.097.
Im, Il Hong, & Seongtae Kang, M. S. (2011). An international comparison of technology adoption testing the UTAUT model. Information and Management, 48(1), 1–8. https://doi.org/10.1016/j.im.2010.09.001.
Jöreskog, K. G., & Sörbom, D. (1981). LISREL V: Analysis of linear structural relations by the method of maximum likelihood. International Educational Services.
Klem, L. (2000). Structural equation modeling.
McCullough, J. & Best, R. (1979). Conjoint measurement: Temporal stability and structural reliability. Journal of Marketing Research, 26–31.
Osborne, J. W., & Overbay, A. (2004). The power of outliers (and why researchers should always check for them). Practi. Practical Assessment, Research and Evaluation, 9(6), 1–12. http://pareonline.net/getvn.asp?v=9&n=6+.
Pallant, J. (2013). SPSS survival manual. McGraw-Hill Education.
Peter, J. P. (1979). Reliability: A review of psychometric basics and recent marketing practices. Journal of Marketing Research, 6–17.
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.
Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. Journal of Management, 12(4), 531–544.
Ritter, G., & Gallegos, M. (1997). Outliers in statistical pattern recognition and an application to automatic chromosome classification. Pattern Recognition Letters, 18(6), 525–539. https://doi.org/10.1016/S0167-8655(97)00049-4.
Steiger, J. H. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 21, 309–331.
Straub, D., Boudreau, M.-C., & Gefen, D. (2004). Validation guidelines for IS positivist research. Communications of the Association for Information Systems, 13, 380–427.
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Allyn and Bacon. Taylor.
Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. American Psychological Association.
Townsend, J., Yeniyurt, S., Deligonul, S., & Cavusgil, S. T. (2004). Exploring the marketing program antecedents of performance in a global company. Journal of International Marketing, 12(4), 1–24.
Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory. MIS Quarterly, 36(1), 157–178.
Williams, B., Brown, T., & Onsman, A. (2012). Exploratory factor analysis : A five-step guide for novices. Journal of Emergency Primary Health Care (JEPHC), 8(3), 1–13. https://doi.org/10.1080/09585190701763982.
Zou, S., & Cavusgil, S. T. (2002). The GMS: A broad conceptualization of global marketing strategy and its effect on firm performance. Journal of Marketing, 66(4), 40–56.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
A. Khan, R., Qudrat-Ullah, H. (2021). Empirical Evidence of LMS Adoption in the Middle East. In: Adoption of LMS in Higher Educational Institutions of the Middle East. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-50112-9_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-50112-9_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-50111-2
Online ISBN: 978-3-030-50112-9
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)