Cross-Cultural Differences in Students' Intention to Use RSS Feeds between Lebanon and the United Kingdom: A Multi-Group Invariance Analysis Based on the Technology Acceptance Model

Really Simple Syndication (RSS) offers a means for university students to receive timely updates from virtual learning environments. However, despite its utility, only 21% of students surveyed at a Lebanese university claim to have ever used the technology. To investigate whether a cultural influence is affecting intention to use RSS, the survey was extended to the British context to conduct a cross-cultural comparison. Using the Technology Adoption Model (TAM) as a research framework, 437 students responded to a questionnaire containing four constructs: intention to use (INT); attitude towards benefit (ATT); perceived usefulness (PU); and perceived ease of use (PEOU). Principle components analysis (PCA) and structural equation modelling (SEM) were used to explore the psychometric qualities of the scale. The results show that adoption was significantly higher, but also modest, in the British context at 36%. Configural and metric invariance were fully supported, while scalar and factorial invariance were partially supported. Analysis reveals that, as a potential consequence of culture, there are significant differences between PU and PEOU across the two contexts studied, potentially as a consequence of culture. It is recommended that faculty demonstrate to students how RSS can be used effectively in order to increase awareness and emphasise usefulness.

[1]  Jan Noyes,et al.  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 , 2011, Comput. Educ..

[2]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[3]  Gordon R. Foxall,et al.  Technology acceptance: a meta‐analysis of the TAM: Part 1 , 2007 .

[4]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[5]  Maslin Masrom,et al.  Technology Acceptance Model and E-learning , 2007 .

[6]  Timothy Teo,et al.  A Cross-cultural Examination of the Intention to Use Technology between Singaporean and Malaysian pre-service Teachers: An Application of the Technology Acceptance Model (TAM) , 2008, J. Educ. Technol. Soc..

[7]  I. Ajzen.  The theory of planned behavior , 1991 .

[8]  K. Hone,et al.  Factors affecting students’ acceptance of e-learning environments in developing countries:A structural equation modeling approach , 2013 .

[9]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[10]  Sung Youl Park,et al.  An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning , 2009, J. Educ. Technol. Soc..

[11]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[12]  Jaejeung Rho,et al.  Extending the TAM for a t-commerce , 2005, Inf. Manag..

[13]  R. P. McDonald,et al.  Structural Equations with Latent Variables , 1989 .

[14]  Kyung-Sun Kim,et al.  Web-based learning: Factors affecting students' satisfaction and learning experience , 2005, First Monday.

[15]  Mark Srite,et al.  The Role of Espoused National Cultural Values in Technology Acceptance , 2006, MIS Q..

[16]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[17]  张胜,et al.  Extending TAM for Online Learning Systems： An Intrinsic Motivation Perspective , 2008 .

[18]  S. Jeff Cold.  Using Really Simple Syndication (RSS) to enhance student research , 2006, SITE.

[19]  Shu-Sheng Liaw,et al.  Investigating students' perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system , 2008, Comput. Educ..

[20]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[21]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[22]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[23]  Timothy Teo,et al.  Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: A multigroup invariance analysis of the Technology Acceptance Model (TAM) , 2009, Comput. Educ..

[24]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[25]  Charles D. Barrett.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[26]  E. Carmines,et al.  Analyzing models with unobserved variables: analysis of covariance structures , 1981 .

[27]  Raafat George Saadé,et al.  The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model , 2005, Inf. Manag..

[28]  Y. Aharoni.  Cultures and Organizations: Software of the Mind , 1992 .

[29]  Sue Abdinnour-Helm,et al.  Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systems , 2008, Inf. Manag..

[30]  T. C. Edwin Cheng,et al.  Adoption of internet banking: An empirical study in Hong Kong , 2006, Decis. Support Syst..

[31]  Quentin D'Souza.  RSS Ideas for Educators - Version 1.1 , 2006 .

[32]  Eric W. T. Ngai,et al.  Empirical examination of the adoption of WebCT using TAM , 2007, Comput. Educ..

[33]  Gurmak Singh,et al.  Implementing eLearning Programmes for Higher Education: A Review of the Literature , 2004, J. Inf. Technol. Educ..

[34]  J. Steenkamp,et al.  Assessing Measurement Invariance in Cross-National Consumer Research , 1998 .

[35]  Charles R. Graham,et al.  Reflections from the Introduction of Blogs and RSS Feeds into a Preservice Instructional Technology Course , 2006 .

[36]  Detmar W. Straub,et al.  Testing the technology acceptance model across cultures: A three country study , 1997, Inf. Manag..

[37]  Dennis F. Galletta,et al.  Extending the technology acceptance model to account for social influence: theoretical bases and empirical validation , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

[38]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[39]  Yi-Cheng Chen,et al.  Predicting College Student' Use of E-Learning Systems: an Attempt to Extend Technology Acceptance Model , 2007, PACIS.

[40]  Rolph E. Anderson,et al.  Multivariate Data Analysis (7th ed. , 2009 .

[41]  J. Christopher Westland,et al.  Lower bounds on sample size in structural equation modeling , 2010, Electron. Commer. Res. Appl..

[42]  Meng Chang Chen,et al.  Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community , 2010, Comput. Educ..

[43]  David Richard Moore,et al.  E-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning , 2006 .

[44]  Barbara M. Byrne,et al.  Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[45]  A. B. Zakour,et al.  Cultural Differences and Information Technology Acceptance , 2004 .

[46]  K. M. Fletcher.  Self-efficacy as an evaluation measure for programs in support of online learning literacies for undergraduates , 2005, Internet High. Educ..

[47]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[48]  R. Vandenberg,et al.  A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research , 2000 .

[49]  Chen Yi-Cheng,et al.  Predicting College Student’ Use of E-Learning Systems: an Attempt to Extend Technology Acceptance Model , 2007 .

[50]  Brian M. Jones,et al.  An Examination of the Technology Acceptance Model in Uruguay and the US: A Focus on Culture , 2005 .

[51]  Yuan Gao,et al.  Applying the Technology Acceptance Model to Educational Hypermedia: A Field Study , 2005 .