FACTORS INFLUENCING USERS SATISFACTION ON E-LEARNING SYSTEMS

User satisfaction has held a central role in an organization as one of the measurements for the success of service delivery. The objectives of this study are to evaluate user satisfaction and examine the association between user satisfaction and the qualities in the e-learning systems of Multionational Company. A theoretical framework is developed, through the integration of e-learning satisfaction (ELS) theory and global satisfaction theory. The analysis was organized from a set of data which involve 190 responses from end-users. The main finding confirms some degree of a positive association between user satisfaction and the qualities in the e-learning system.

[1]  Philip Barker,et al.  Assessing the Value of E‐Learning Systems , 2006 .

[2]  Alaina Kanfer,et al.  1 e-learning-A Review of Literature , 2000 .

[3]  S. C. Hui,et al.  International Journal of the Computer, the Internet and Management , 2000 .

[4]  Gabriel-Miro Muntean,et al.  Open corpus architecture for personalised ubiquitous e-learning , 2009, Personal and Ubiquitous Computing.

[5]  Antonella De Angeli,et al.  Systematic evaluation of e-learning systems: an experimental validation , 2006, NordiCHI '06.

[6]  Nian-Shing Chen,et al.  Assessment of E-Learning Satisfaction from Critical Incidents Perspective , 2004, ICEIS.

[7]  Donyaprueth Krairit,et al.  Satisfaction in E-Learning: The Context of Supplementary Instruction. , 2006 .

[8]  N. Malhotra,et al.  Marketing Research: An Applied Approach , 2000 .

[9]  TeoChao Boon,et al.  A knowledge-driven model to personalize e-learning , 2006 .

[10]  H. Russell Bernard,et al.  Social Research Methods: Qualitative and Quantitative Approaches , 2000 .

[11]  Julia S. J. Yeo,et al.  When technology is mandatory-factors influencing users satisfaction , 2002, International Conference on Computers in Education, 2002. Proceedings..

[12]  Angeliki Poulymenakou,et al.  Designing Affective-Oriented e-Learning Courses: An Empirical Study Exploring Quantitative Relations between Usability Attributes and Motivation to Learn , 2004 .

[13]  Yi-Shun Wang,et al.  Assessment of learner satisfaction with asynchronous electronic learning systems , 2003, Inf. Manag..

[14]  A. Field.  Discovering statistics using SPSS for Windows. , 2000 .

[16]  D. Fitzgerald,et al.  A tale of two cities: A study on the satisfaction of asynchronous e-learning systems in two Australian universities , 2004 .

[17]  Joseph George.  Usability and efficiency of e-Learning- ''Quality the Buzz Word'' , 2004 .

[18]  Ling Hsiu Chen,et al.  Integrating Kano’s model into E-learning satisfaction , 2007, 2007 IEEE International Conference on Industrial Engineering and Engineering Management.

[19]  Robert K. L. Gay,et al.  A knowledge-driven model to personalize e-learning , 2006, JERC.

[20]  Jay F. Nunamaker,et al.  Powering E-Learning In the New Millennium: An Overview of E-Learning and Enabling Technology , 2003, Inf. Syst. Frontiers.

[21]  R. V. Krejcie,et al.  Determining Sample Size for Research Activities , 1970 .

[22]  Earl R. Babbie,et al.  The practice of social research , 1969 .

[23]  Subhasish Dasgupta,et al.  MEASUREMENT OF USER SATISFACTION WITH WEB-BASED INFORMATION SYSTEMS: AN EMPIRICAL STUDY , 2002 .

[24]  Ya-Ching Lee,et al.  An empirical investigation into factors influencing the adoption of an e-learning system , 2006, Online Inf. Rev..

[25]  Darren George,et al.  SPSS for Windows Step by Step: A Simple Guide and Reference , 1998 .