Abstract
The study is conducted on 558 under-graduate students in Romania and Spain to examine potential differences in perception and acceptance items towards using web-based technologies. The research model is based on the Internet Attitude Scale (IAS) and measures Perceived Enjoyment, Perceived Anxiety, Perceived Usefulness and Computer Self-Efficacy. Results from country-based group comparisons reveal significant differences in all four constructs, while gender does not seem to affect any of them. Multiple-group PLS analysis reveals similarities but also a couple of differences in the relationship paths for the Romanian and Spanish students. Overall, the examined model fits well in the combined-complete population.
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21 May 2020
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References
Abedalazi, N., Jamaluddin, S., & Leng, C. H. (2013). Measuring attitudes toward computer and internet usage among postgraduate students in Malaysia. TOJET: The Turkish Online Journal of Educational Technology, 12(2), 200–216.
Al-Emran, M., Elsherif, H. M., & Shaalan, K. (2016). Investigating attitudes towards the use of mobile learning in higher education. Computers in Human Behavior, 56, 93–102.
Alenezi, A. R., Abdul, K., Abdul, M., & Veloo, A. (2010). An empirical investigation into the role of enjoyment, computer anxiety, computer self-efficacy and internet experience in influencing the students' intention to use. E-Learning: A Case Study from Saudi Arabian Governmental Universities, Turkish Online Journal of Educational Technology - TOJET, 9(4), 22–34.
Ali, Z. S. (2014). Pakistani students’ perceptions about use of the internet in their academic activities. E-Learning and Digital Media, 11(3), 222–230.
Aranda, D., Sánchez-Navarro, J., & Mohammadi, L. (2018). An overview of use, knowledge and perceptions of the internet in Spain. Data in Brief, 19, 1498–1503.
Arifin, W.A. & Yusoff, S.B. (2016). Confirmatory factor analysis of the Universiti Sains Malaysia emotional quotient inventory among medical students in Malaysia. SAGE Open. Volume: 6 issue: 2.
Burnett, M., Fleming, S., Iqbal, S. (2010) Gender differences and programming environments: Across programming populations. Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement.
Cazacu, A.-M., Cocoradă, E., & Maican, C. I. (2016). Computer anxiety and attitudes towards the computer and the internet with Romanian high-school and university students. Computers in Human Behavior, 55, 258–267.
Celebi, S. I. (2015). How do motives affect attitudes and behaviors toward internet advertising and Facebook advertising? Computers in Human Behavior, 51, 312–324.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern business research methods (pp. 295–336). Mahwah: Lawrence Erlbaum Associates.
Chin, W. W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. In R. H. Hoyle (Ed.), Statistical strategies for small sample research (pp. 307–341). Thousand Oaks: Sage Publications.
Chou, C., Wu, H.-C., & Chen, C.-H. (2010). Re-visiting college students' attitudes toward the internet-based on a 6-T model: Gender and grade level difference. Computers and Education, 56, 939–947.
Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211.
Doğar, Ç., Kaplan, M., & Gürses, A. (2014). Analysis of the factors that influence the attitudes of elementary students for the internet. Procedia - Social and Behavioral Sciences, 122, 453–456.
Durndell, A., & Haag, Z. (2002). Computer self-efficacy, computer anxiety, attitudes towards the internet and reported experience with the internet, by gender, in an east European sample. Computers in Human Behavior, 18, 521–535.
Eduljee, N. B., & Kumar, S. S. (2017). Exploring attitudes towards the internet: A study of Indian college students. International Research Journal of Multidisciplinary Studies, 3(1), 1–12.
Falk, F. R. & . Miller, N. B. (1992). A primer for soft modeling, The University of Akron Press, Akron, Ohio, USA.
Fathema, Ν., Ross, Μ., & Witte, Μ. Μ. (2014). Student acceptance of university web portals: A quantitative study. Int. J. Web Portals, 6(2), 42–58.
Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: SAGE Publication.
Gefen, D., Straub, D., & Boudreau, M. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(7), 1–77.
Goig, R.M., Santoveña, S., & Quintanal, J. (2015). Opinions, attitudes and beliefs in the teachers of the 2nd cycle of early childhood education and first cycle of primary education before the use of internet. [Opiniones, actitudes y creencias en el profesorado del 2° ciclo de educación infantil y primer ciclo de educación primaria ante el uso de internet]. En J. J. Maquilón, Mª P. García, Mª L. Belmonte (eds.), Educational innovation in formal education [Innovación educativa en la enseñanza formal] (pp. 405–418). Murcia, España: Editum University of Murcia.
Hair, J. F., Black, W. C., Babin, B. J., Anderson., R. E., & L. Tatham, R. (2006). Multivariant data analysis. New Jersey: Pearson International Edition.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2009). Multivariate data analysis (Vol. 7, 7th ed.). Upper Saddle River: Pearson Prentice Hall.
Havelka, D., Beasley, F., & Broome, T. (2004). A study of computer anxiety among business students. American Journal of Business, 19(1), 63–71.
Hervás, C., López, E., Real, S., & Fernández, E. (2016). Technophobia: Skills, attitudes and training of students of the degree in primary education. [Tecnofobia: Competencias, actitudes y formación del alumnado del Grado en Educación]. International Journal of Educational Research and Innovation (IJERI), 6, 83–94.
Hong, K. S., Ridzuan, A. A., & Kuek, M. K. (2003). Students’ attitudes towards the use of the internet for learning: A study at a university in Malaysia. Educational Technology and Society, 6(2), 45–49.
Huang, Y., Chang, D.-F., & Wu, B. (2017). Mobile game-based learning with a Mobile app: Motivational effects and learning performance. Journal of Advanced Computational Intelligence and Intelligent Informatics, 21, 963–970.
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195–204.
Ifinedo, P. (2018). Determinants of students’ continuance intention to use blogs to learn: An empirical investigation. Behaviour & Information Technology, 37(4), 381–392.
Ifinedo, P., Pyke, J., & Anwar, A. (2018). Business undergraduates’ perceived use outcomes of Moodle in a blended learning environment: The roles of usability factors and external support. Telematics and Informatics, 35(1), 93–102.
Institutul National de Statistică [National Institute of Statistics] (2016a). Accesul populației la tehnologia informațiilor și comunicațiilor în anul 2016 [People's access to technology of information and communication in 2016]. Retrieved from http://www.insse.ro/cms/sites/default/files/com_presa/com_pdf/tic_r2016.pdf.
Institutul National de Statistică [National Institute of Statistics] (2016b). Accesul populației la tehnologia informațiilor și comunicațiilor în anul 2016 [People's access to technology of information and communication in 2016]. Retrieved from http://www.insse.ro/cms/sites/default/files/com_presa/com_pdf/tic_r2016.pdf.
Institutul National de Statistică [Spanish Statistics Institute] (2016). Accesul populației la tehnologia informațiilor și comunicațiilor în anul 2016 [People's access to technology of information and communication in 2016]. Retrieved from http://www.insse.ro/cms/sites/default/files/com_presa/com_pdf/tic_r2016.pdf.
Islam, A. (2012). The Role of Perceived System Quality As Educators’ Motivation to Continue E-learning System Use. Transactions on Human-Computer Interaction, 4(1), 25–43.
Jena, R. K. (2016). Investigating the interrelation between attitudes, learning readiness, and learning styles under virtual learning environment: A study among Indian students. Behaviour & Information Technology, 35(11), 946–957.
Kim, J., & Lee, H.-H. (2008). Consumer product search and purchase behaviour using various retail channels: The role of perceived retail usefulness. International Journal of Consumer Studies, 32, 619–627.
Kurilovas, E., Kubilinskiene, S. (2020). Lithuanian case study on evaluating suitability, acceptance and use of IT tools by students – An example of applying Technology Enhanced Learning Research methods in Higher Education, Computers in Human Behavior, 107.
Lackovic, N., Kerry, R., Lowe, R., & Lowe, T. (2017). Being knowledge, power and profession subordinates: Students' perceptions of twitter for learning. The Internet and Higher Education, 33, 41–48. https://doi.org/10.1016/j.iheduc.2016.12.002.
Lee, C., Lee, H., Lee, J., & Park, J. (2014). A multiple group analysis of the training transfer model: Exploring the differences between high and low performers in a Korean insurance company. The International Journal of Human Resource Management, 25(20), 2837–2857.
Li, N., & Kirkup, G. (2007). Gender and cultural differences in internet use: A study of China and the UK. Computers and Education, 48(12), 301–317.
Lin, W.-S., & Wang, C.-H. (2012). Antecedences to continued intentions of adopting E-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit. Computers & Education, 58(1), 88–99.
Luan, W. S., Fung, N. S., & Atan, H. (2008). Gender differences in the usage and attitudes toward the internet among student teachers in a public Malaysian university. American Journal of Applied Sciences, 5(6), 689–697.
Lundgren, T. D., & Nantz, K. S. (2016). Student attitudes toward internet courses: A longitudinal study. Journal of Computer Information Systems, 43(3), 61–66.
Lust, G., Elen, J., & Clarebout, G. (2012). Adopting Webcasts Over Time: The Influence of Perceptions and Attitudes. Journal of Computing in Higher Education, 24(1), 40–57.
Lwoga, E. T., & Komba, M. (2015). Antecedents of Continued Usage Intentions of Web-based Learning Management System in Tanzania. Education + Training, 57(7), 738–756.
Maican, C. I., & Cocoradă, E. (2017a). Computers, internet and smartphone attitudes among Romanian University students. European Journal of Multidisciplinary Studies, 5(1), 85–92.
Maican, C. I., & Cocoradă, E. (2017b). Computers, internet and smartphone attitudes among Romanian University students. European Journal of Multidisciplinary Studies, 5(1), 85–92.
Martí-Parreño, J., Galbis-Córdova, A., & Miquel-Romero, M. J. (2018). Students' attitude towards the use of educational video games to develop competencies. Computers in Human Behavior, 81, 366–377. https://doi.org/10.1016/j.chb.2017.12.017.
McLoughlin, & Nakano, K. (2010). A perspective on the experiential learning of computer architecture, 2010 IEEE/ACM Int'l conference on green computing and Communications & Int'l conference on cyber. Physical and Social Computing, Hangzhou, 2010, 868–872.
Mohammed, J., & Al-Karki, J. (2008). Integrating internet into traditional education: A practical study of university students’ usage and attitudes. The International Arab Journal of Information Technology, 5(3), 45–63.
Moon, J., & Kim, Y. (2001). Extending the TAM for a world-wide-web context. Information and Management, 38(4), 217–230.
Morse, B. J., Gullekson, N. L., Morris, S. A., & Popovich, P.M. (2011). The development of a general internet attitudes scale. Computers in Human Behavior, 27(1), 480–489.
Mujiyati, M. & Did, A. (2008).The Role of Perceived Enjoyment on Motivating the Internet Use. Universitas Muhammadiyah Surakarta, Volume 12 No 1 Juni 2008.
Nasser M. S. (2019) Motivation factors and barriers to the continuous use of blended learning approach using Moodle: students' perceptions and individual differences, Behaviour & Information Technology.
Nikolopoulou K. (2017). Adolescents’ Internet Attitudes: A Study in an Experimental Greek Secondary School. In: Tatnall A., Webb M. (eds.), Tomorrow's Learning: Involving Everyone. Learning with and about Technologies and Computing. WCCE 2017. IFIP advances in information and communication technology, vol. 515. Springer, Cham.
Nurˋain Achim, Arraqib Al Kassim (2015) Computer Usage: The Impact of Computer Anxiety and Computer Self-efficacy. Procedia - Social and Behavioral Sciences, Volume 172,Pages 701–708.
Ong, C.-S., & Lai, J.-Y. (2006). Gender differences in perceptions and relationships among dominants of e-learning acceptance. Computers in Human Behavior, 22(5), 816–829.
Parkes, M., Stein, S., & Reading, C. (2015). Student preparedness for university e-learning environments. The Internet and Higher Education, 25, 1–10. https://doi.org/10.1016/j.iheduc.2014.10.002.
Peng, H. P., Tsai, C.-C., & Wu, Y.-T. (2006). University students' self-efficacy and their attitudes toward the internet: The role of students' perceptions of the internet. Educational Studies, 32(1), 73–86.
Popescu, Ε. (2010). Students' Acceptance of Web 2.0 Technologies in Higher Education: Findings from a Survey in a Romanian University. Ιν 2010 Workshops on database and expert systems applications, Bilbao, 2010, 92–96.
Ramírez, E., Cañedo, I., & Clemente, M. (2012). Attitudes and beliefs of secondary teachers about internet use in their classrooms. [Las actitudes y creencias de los profesores de secundaria sobre el uso de internet en sus clases]. Comunicar, 40, 147–155. https://doi.org/10.3916/C40-2012-03-06.
Renny, Suryo Guritno, Hotniar Siringoringo (2013) Perceived Usefulness, Ease of Use, and Attitude Towards Online Shopping Usefulness Towards Online Airlines Ticket Purchase. Procedia - social and behavioral sciences,Volume 81,,Pages 212–216.
Rial, A., Gómez, P., Braña, T., & Varela, J. (2014). Attitudes, perceptions and Internet and social networks use among Galician teens (Spain). [Actitudes y percepciones y uso de Internet y las redes sociales entre los adolescentes de la comunidad gallega (España)]. Anales de Psicología, 30(2), 642–655. https://doi.org/10.6018/analesps.30.2.159111.
Ringle, C.M., Wende, S., & Becker, J. (2015). SmartPLS 3. Bönningstedt: SmartPLS. Retrieved from http://www.smartpls.com
Richter, T., Naumann, J., & Groeben, N. (2000). Attitudes toward the computer: Construct validation of an instrument with scales differentiated by content. Computers in Human Behavior, 16, 473–491.
Rosenthal, M., & Spiegelman, M. (1996). Evaluating use of the internet among academic reference librarians. Internet Reference Services Quarterly, 1(1), 53–67.
Saadé, D. K. (2009). Computer anxiety in e-learning: The ffect of computer self-efficacy. Journal of Information Technology Education, 8(2009), 177–191.
Sam, H. K., Othman, A. E. A., & Nordin, Z. S. (2005). Computer self-efficacy, computer anxiety, and attitudes toward the internet: A study among undergraduates in Unimas. Educational Technology & Society, 8(4), 205–219.
Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika., 52(3–4), 591–611.
Sharma, S. K., Palvia, S. K. J., & Kumar, K. (2017). Changing the landscape of higher education: From standardized learning to customized learning. Journal of Information Technology Case and Application Research, 19(2), 75–80.
Spacey, R., Goulding, A., &. Murray, I. (2003a). ICT and change in UK public libraries: Does training matter?. Library Management, 24(1–2), 61–69.
Spacey, R., Goulding, A., &. Murray, I. (2003b). ICT and change in UK public libraries: Does training matter?. Library Management, 24(1–2), 61–69.
Terzis, V., & Economides, A. A. (2011). The acceptance and use of computer based assessment. Computers & Education, 56(4), 1032–1044.
Terzis, V., Moridis, C. N., & Economides, A. A. (2013a). Continuance acceptance of computer based assessment through the integration of User’s expectations and perceptions. Computers & Education, 62, 50–61.
Terzis, V., Moridis, C. N., Economides, A. A., & Rebolledo-Mendez, G. (2013b). Computer based assessment acceptance: A cross-cultural study in Greece and Mexico. Educational Technology & Society, 16(3), 411–424.
Touloupis, T., & Athanasiades, C. (2018). Principals' attitudes towards risky internet use of primary school students: The role of occupational factors. Education and Information Technologies, 23(1), 497–516.
Tsai, C.-C., Lin, S. S. J., & Tsai, M.-J. (2001). Developing an internet attitude scale for high school students. Computers & Education, 37, 41–51.
Tuncer, M. (2012). Investigation of effects of computer anxiety and internet attitudes on computer self-efficacy. International Journal of Social Science, 5(4), 205–222.
Tzafilkou, K., Chouliara, A., Protogeros, N., Karagiannidis, C. & Koumpis, A. (2015). Engaging end-users in creating data-intensive Mobile applications: A creative ‘e-learning-by-doing’ approach. International conference on interactive mobile communication technologies and learning (IMCL), IEEE.
Tzafilkou, K., Protogeros, N., Charagiannidis, C., & Koumpis, A. (2017). Gender-based behavioral analysis for end-user development and the ‘RULES’ attributes. Education and Information Technologies, 22, 1–42.
Tzafilkou, K., & Protogeros, N. (2018). Mouse behavioral patterns and keystroke dynamics in end-user development: What can they tell us about users’ behavioral attributes? Computers in Human Behavior, 83, 288–305.
Van Raaij, E. M., & Schepers, J. J. L. (2008). The acceptance and use of a virtual learning environment in China. Computers & Education, 50, 838–852.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Wu, Y.-T., & Tsai, C.-C. (2006). University students’ internet attitudes and internet self-efficacy: A study at three universities in Taiwan. Cyberpsychology & Behavior, 9(4), 441–450.
Zhang, Y. (2007). Development and validation of an internet use attitude scale. Computers & Education, 49, 243–253.
Zhou, M. (2016). Chinese University students’ acceptance of MOOCs: A self-determination perspective. Computers & Education, 92, 194–203.
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Balta, N., Mâță, L., Gómez, C.H. et al. Students’ perception and acceptance of web-based technologies: a multi-group PLS analysis in Romania and Spain. Educ Inf Technol 25, 4437–4458 (2020). https://doi.org/10.1007/s10639-020-10170-y
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DOI: https://doi.org/10.1007/s10639-020-10170-y