Skip to main content
Erschienen in: Journal of Computing in Higher Education 2/2014

01.08.2014

Explaining the intention to use technology among university students: a structural equation modeling approach

verfasst von: Timothy Teo, Mingming Zhou

Erschienen in: Journal of Computing in Higher Education | Ausgabe 2/2014

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The aim of this study is to examine the factors that an influence higher education students’ intention to use technology. Using an extended technology acceptance model as a research framework, a sample of 314 university students were surveyed on their responses to seven constructs hypothesized to explain their intention to use technology. Data were analyzed using structural equation modeling and the results showed that perceived usefulness and attitude toward computer use were significant determinants of the intention to use technology, while perceived ease of use influenced intention to use technology through attitude towards computer use. Computer self-efficacy and subjective norm acted as antecedents for perceived usefulness and attitude towards computer use, while facilitating conditions acted as antecedents for perceived ease of use and attitude towards computer use. Together these constructs explained 54.7 % of the variance in students’ intention to use technology. Implications of the findings were also discussed.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Anhänge
Nur mit Berechtigung zugänglich
Literatur
Zurück zum Zitat Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24, 665–694.CrossRef Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24, 665–694.CrossRef
Zurück zum Zitat Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2), 361–391.CrossRef Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2), 361–391.CrossRef
Zurück zum Zitat Agarwal, R., Sambamurthy, V., & Stair, R. M. (2000). The evolving relationship between general and specific computer self-efficacy: An empirical assessment. Information Systems Research, 11(4), 418–430.CrossRef Agarwal, R., Sambamurthy, V., & Stair, R. M. (2000). The evolving relationship between general and specific computer self-efficacy: An empirical assessment. Information Systems Research, 11(4), 418–430.CrossRef
Zurück zum Zitat Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action-control: From cognition to behavior (pp. 11–39). Berlin Heidelberg: Springer.CrossRef Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action-control: From cognition to behavior (pp. 11–39). Berlin Heidelberg: Springer.CrossRef
Zurück zum Zitat Ajzen, I. (1991). The theory of planned behavior. Organizational Behaviour and Human Decision Processes, 50(2), 179–211.CrossRef Ajzen, I. (1991). The theory of planned behavior. Organizational Behaviour and Human Decision Processes, 50(2), 179–211.CrossRef
Zurück zum Zitat Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888–918.CrossRef Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relations: A theoretical analysis and review of empirical research. Psychological Bulletin, 84(5), 888–918.CrossRef
Zurück zum Zitat Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice-Hall. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice-Hall.
Zurück zum Zitat Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modelling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 411–423.CrossRef Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modelling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 411–423.CrossRef
Zurück zum Zitat Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122–147.CrossRef Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122–147.CrossRef
Zurück zum Zitat Bandura, A. (1988). Self-efficacy conception of anxiety. Anxiety Research, 1, 77–98.CrossRef Bandura, A. (1988). Self-efficacy conception of anxiety. Anxiety Research, 1, 77–98.CrossRef
Zurück zum Zitat Bellone, L. M., & Czerniak, C. M. (2001). Teachers’ beliefs about accommodating students’ learning styles in science classes. Electronic Journal of Science Education, 6(2), 4–29. Bellone, L. M., & Czerniak, C. M. (2001). Teachers’ beliefs about accommodating students’ learning styles in science classes. Electronic Journal of Science Education, 6(2), 4–29.
Zurück zum Zitat Burton-Jones, A., & Hubona, G. S. (2005). Individual differences and usage behaviour: Revisiting a technology acceptance model assumption. The Data Base for Advances in Information Systems, 36(2), 58–77.CrossRef Burton-Jones, A., & Hubona, G. S. (2005). Individual differences and usage behaviour: Revisiting a technology acceptance model assumption. The Data Base for Advances in Information Systems, 36(2), 58–77.CrossRef
Zurück zum Zitat Chan, S. C., & Lu, M. T. (2004). Understanding internet banking adoption and use behaviour: A Hong Kong perspective. Journal of Global Information Management, 13, 22–44. Chan, S. C., & Lu, M. T. (2004). Understanding internet banking adoption and use behaviour: A Hong Kong perspective. Journal of Global Information Management, 13, 22–44.
Zurück zum Zitat Chau, P. Y. (2001). Influence of computer attitude and self-efficacy on IT usage. Journal of End User Computing, 13(1), 26–33.CrossRef Chau, P. Y. (2001). Influence of computer attitude and self-efficacy on IT usage. Journal of End User Computing, 13(1), 26–33.CrossRef
Zurück zum Zitat Chen, K., Chen, J., & Yen, D. (2011). Dimensions of self-efficacy in the study of smart phone acceptance. Computer Standards and Interfaces, 33, 422–431.CrossRef Chen, K., Chen, J., & Yen, D. (2011). Dimensions of self-efficacy in the study of smart phone acceptance. Computer Standards and Interfaces, 33, 422–431.CrossRef
Zurück zum Zitat Chen, Y. C., Lin, Y. C., Yeh, R. C., & Lou, S. J. (2013). Examining factors affecting college students’ intention to use web-based instruction systems: Towards an integrated model. Turkish Online Journal of Educational Technology, 12(2), 111–121. Chen, Y. C., Lin, Y. C., Yeh, R. C., & Lou, S. J. (2013). Examining factors affecting college students’ intention to use web-based instruction systems: Towards an integrated model. Turkish Online Journal of Educational Technology, 12(2), 111–121.
Zurück zum Zitat Chow, M., Herold, D. K., Choo, T. M., & Chan, K. (2012). Extending the technology acceptance model to explore the intention to use second life for enhancing healthcare education. Computers and Education, 59(4), 1136–1144.CrossRef Chow, M., Herold, D. K., Choo, T. M., & Chan, K. (2012). Extending the technology acceptance model to explore the intention to use second life for enhancing healthcare education. Computers and Education, 59(4), 1136–1144.CrossRef
Zurück zum Zitat Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211.CrossRef Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211.CrossRef
Zurück zum Zitat Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.CrossRef Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.CrossRef
Zurück zum Zitat Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.CrossRef Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.CrossRef
Zurück zum Zitat 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.CrossRef 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.CrossRef
Zurück zum Zitat Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intension and behaviour: An introduction to theory and research. Reading, MA: Addison Wesley. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intension and behaviour: An introduction to theory and research. Reading, MA: Addison Wesley.
Zurück zum Zitat Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 48, 39–50.CrossRef Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 48, 39–50.CrossRef
Zurück zum Zitat Gu, X., Zhu, Y., & Guo, X. (2013). Meeting the “Digital Natives”: Understanding the acceptance of technology in classrooms. Educational Technology and Society, 16(1), 392–402. Gu, X., Zhu, Y., & Guo, X. (2013). Meeting the “Digital Natives”: Understanding the acceptance of technology in classrooms. Educational Technology and Society, 16(1), 392–402.
Zurück zum Zitat Guriting, P., & Ndubisi, N. O. (2006). Borneo online banking: Evaluating customer perceptions and behavioural intention. Management Research News, 30, 6–16.CrossRef Guriting, P., & Ndubisi, N. O. (2006). Borneo online banking: Evaluating customer perceptions and behavioural intention. Management Research News, 30, 6–16.CrossRef
Zurück zum Zitat Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). New Jersey: Prentice Hall, Upper Saddle River. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). New Jersey: Prentice Hall, Upper Saddle River.
Zurück zum Zitat Hodden, H., & Rada, R. (2011). Understanding the influence of perceived usability and technology self-efficacy on teachers’ technology acceptance. Journal of Research on Technology in Education, 43(4), 343–367.CrossRef Hodden, H., & Rada, R. (2011). Understanding the influence of perceived usability and technology self-efficacy on teachers’ technology acceptance. Journal of Research on Technology in Education, 43(4), 343–367.CrossRef
Zurück zum Zitat Hoelter, D. R. (1983). The analysis of covariance structures: Goodness-of-fit indices. Sociological Methods and Research, 11, 325–344.CrossRef Hoelter, D. R. (1983). The analysis of covariance structures: Goodness-of-fit indices. Sociological Methods and Research, 11, 325–344.CrossRef
Zurück zum Zitat Hopson, M. H., Simms, R. L., & Knezek, G. A. (2002). Using a technologically enriched environment to improve higher-order thinking skills. Journal of Research on Technology in Education, 34(2), 109–119.CrossRef Hopson, M. H., Simms, R. L., & Knezek, G. A. (2002). Using a technologically enriched environment to improve higher-order thinking skills. Journal of Research on Technology in Education, 34(2), 109–119.CrossRef
Zurück zum Zitat Hoyle, R. H. (2011). Structural equation modelling for social and personality psychology. London, UK: Sage Publications. Hoyle, R. H. (2011). Structural equation modelling for social and personality psychology. London, UK: Sage Publications.
Zurück zum Zitat Hsu, M. K., Wang, S. W., & Chiu, K. K. (2009). Computer attitude, statistics anxiety and self-efficacy on statistical software adoption behaviour: An empirical study of online MBA learners. Computers in Human Behaviour, 25, 412–420.CrossRef Hsu, M. K., Wang, S. W., & Chiu, K. K. (2009). Computer attitude, statistics anxiety and self-efficacy on statistical software adoption behaviour: An empirical study of online MBA learners. Computers in Human Behaviour, 25, 412–420.CrossRef
Zurück zum Zitat Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modelling, 6(1), 1–55.CrossRef Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modelling, 6(1), 1–55.CrossRef
Zurück zum Zitat Kline, R. B. (2010). Principles and practice of structural equation modelling (3rd ed.). New York: Guilford Press. Kline, R. B. (2010). Principles and practice of structural equation modelling (3rd ed.). New York: Guilford Press.
Zurück zum Zitat Lai, M. L. (2008). Technology readiness, internet self-efficacy and computing experience of professional accounting students. Campus-Wide Information Systems, 25(1), 18–29.CrossRef Lai, M. L. (2008). Technology readiness, internet self-efficacy and computing experience of professional accounting students. Campus-Wide Information Systems, 25(1), 18–29.CrossRef
Zurück zum Zitat Lederer, A. L., Maupin, D. J., Sens, M. P., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision Support Systems, 29, 269–282.CrossRef Lederer, A. L., Maupin, D. J., Sens, M. P., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision Support Systems, 29, 269–282.CrossRef
Zurück zum Zitat Legris, P., Ingham, J., & Collerette, P. (2003). Who do people use information technology? A critical review of the technology acceptance model. Information and Management, 40, 191–204.CrossRef Legris, P., Ingham, J., & Collerette, P. (2003). Who do people use information technology? A critical review of the technology acceptance model. Information and Management, 40, 191–204.CrossRef
Zurück zum Zitat Lim, C. P., & Khine, M. S. (2006). Managing teachers’ barriers to ICT integration in Singapore schools. Journal of Technology and Teacher Education, 1(1), 97–125. Lim, C. P., & Khine, M. S. (2006). Managing teachers’ barriers to ICT integration in Singapore schools. Journal of Technology and Teacher Education, 1(1), 97–125.
Zurück zum Zitat Ma, Q., & Liu, L. (2004). The technology acceptance model: A meta-analysis of empirical findings. Journal of Organizational and End User Computing, 16(1), 59–72.CrossRef Ma, Q., & Liu, L. (2004). The technology acceptance model: A meta-analysis of empirical findings. Journal of Organizational and End User Computing, 16(1), 59–72.CrossRef
Zurück zum Zitat Macharia, J. K. N., & Pelser, T. G. (2012). Key factors that influence the diffusion and infusion of information and communication technologies in Kenyan higher education. Studies in Higher Education. doi:10.1080/03075079.2012.729033. Macharia, J. K. N., & Pelser, T. G. (2012). Key factors that influence the diffusion and infusion of information and communication technologies in Kenyan higher education. Studies in Higher Education. doi:10.​1080/​03075079.​2012.​729033.
Zurück zum Zitat Marakas, G. M., Yi, M. Y., & Johnson, R. D. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Information Systems Research, 9, 126–163.CrossRef Marakas, G. M., Yi, M. Y., & Johnson, R. D. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Information Systems Research, 9, 126–163.CrossRef
Zurück zum Zitat Marcinkiewicz, H. R., & Regstad, N. G. (1996). Using subjective norms to predict teachers’ computer use. Journal of Computing in Teacher Education, 13(1), 27–33. Marcinkiewicz, H. R., & Regstad, N. G. (1996). Using subjective norms to predict teachers’ computer use. Journal of Computing in Teacher Education, 13(1), 27–33.
Zurück zum Zitat Margaryan, A., Littlejohn, A., & Vojt, G. (2011). Are digital natives a myth or reality? University students’ use of digital technologies. Computers and Education, 56(2), 429–440.CrossRef Margaryan, A., Littlejohn, A., & Vojt, G. (2011). Are digital natives a myth or reality? University students’ use of digital technologies. Computers and Education, 56(2), 429–440.CrossRef
Zurück zum Zitat Mardia, K. V. (1970). Measures of multivariate skewness and kurtosis with applications. Biometrika, 57, 519–530. Mardia, K. V. (1970). Measures of multivariate skewness and kurtosis with applications. Biometrika, 57, 519–530.
Zurück zum Zitat Nandedkar, A., & Midha, V. (2012). It won’t happen to me: An assessment of optimism bias in music piracy. Computers in Human Behaviour, 28, 41–48.CrossRef Nandedkar, A., & Midha, V. (2012). It won’t happen to me: An assessment of optimism bias in music piracy. Computers in Human Behaviour, 28, 41–48.CrossRef
Zurück zum Zitat Ngai, E. W. T., Poon, J. K. L., & Chan, Y. H. C. (2007). Empirical examination of the adoption of WebCT using TAM. Computers and Education, 48, 250–267.CrossRef Ngai, E. W. T., Poon, J. K. L., & Chan, Y. H. C. (2007). Empirical examination of the adoption of WebCT using TAM. Computers and Education, 48, 250–267.CrossRef
Zurück zum Zitat Padilla-Melendez, A., Garrido-Moreno, A., & Aguila-Obra, A. R. D. (2008). Factors affecting e-collaboration technology use among management students. Computers and Education, 51, 609–623.CrossRef Padilla-Melendez, A., Garrido-Moreno, A., & Aguila-Obra, A. R. D. (2008). Factors affecting e-collaboration technology use among management students. Computers and Education, 51, 609–623.CrossRef
Zurück zum Zitat Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students’ behavioural intention to use e-learning. Educational Technology and Society, 12(3), 150–162. Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students’ behavioural intention to use e-learning. Educational Technology and Society, 12(3), 150–162.
Zurück zum Zitat Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6–30.CrossRef Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6–30.CrossRef
Zurück zum Zitat Raykov, T., & Marcoulides, G. A. (2008). An introduction to applied multivariate analysis. New York, NY: Taylor and Francis. Raykov, T., & Marcoulides, G. A. (2008). An introduction to applied multivariate analysis. New York, NY: Taylor and Francis.
Zurück zum Zitat Schepers, J., & Wetzels, M. (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information and Management, 44, 90–103.CrossRef Schepers, J., & Wetzels, M. (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information and Management, 44, 90–103.CrossRef
Zurück zum Zitat Straub, E. T. (2009). Understanding technology adoption: Theory and future directions for informal learning. Review of Educational Research, 79(2), 625–649.CrossRef Straub, E. T. (2009). Understanding technology adoption: Theory and future directions for informal learning. Review of Educational Research, 79(2), 625–649.CrossRef
Zurück zum Zitat Surry, D. W., Ensminger, D. C., & Haab, M. (2005). A model for integrating instructional technology into higher education. British Journal of Educational Technology, 36(2), 327–329.CrossRef Surry, D. W., Ensminger, D. C., & Haab, M. (2005). A model for integrating instructional technology into higher education. British Journal of Educational Technology, 36(2), 327–329.CrossRef
Zurück zum Zitat Svendsen, G. B., Johnsen, J. A. K., Almås-Sørensen, L., & Vittersø, J. (2013). Personality and technology acceptance: The influence of personality factors on the core constructs of the technology acceptance model. Behaviour and Information Technology, 32(4), 323–334.CrossRef Svendsen, G. B., Johnsen, J. A. K., Almås-Sørensen, L., & Vittersø, J. (2013). Personality and technology acceptance: The influence of personality factors on the core constructs of the technology acceptance model. Behaviour and Information Technology, 32(4), 323–334.CrossRef
Zurück zum Zitat Teo, T. (2008). A path analysis of pre-service teachers’ attitudes toward computer use: Applying and extending the technology acceptance model in an educational context. Interactive Learning Environments, 18(1), 65–79.CrossRef Teo, T. (2008). A path analysis of pre-service teachers’ attitudes toward computer use: Applying and extending the technology acceptance model in an educational context. Interactive Learning Environments, 18(1), 65–79.CrossRef
Zurück zum Zitat Teo, T. (2009a). Modelling technology acceptance in education: A study of pre-service teachers. Computers and Education, 52(1), 302–312.CrossRef Teo, T. (2009a). Modelling technology acceptance in education: A study of pre-service teachers. Computers and Education, 52(1), 302–312.CrossRef
Zurück zum Zitat Teo, T. (2009b). Is there an attitude problem? Reconsidering the role of attitude in the TAM. British Journal of Educational Technology, 40(6), 1139–1141.CrossRef Teo, T. (2009b). Is there an attitude problem? Reconsidering the role of attitude in the TAM. British Journal of Educational Technology, 40(6), 1139–1141.CrossRef
Zurück zum Zitat Teo, T. (2010). Establishing gender structural invariance of technology acceptance model (TAM). The Asia-Pacific Education Researcher, 19(2), 311–320.CrossRef Teo, T. (2010). Establishing gender structural invariance of technology acceptance model (TAM). The Asia-Pacific Education Researcher, 19(2), 311–320.CrossRef
Zurück zum Zitat Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers and Education, 57, 2432–2440.CrossRef Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers and Education, 57, 2432–2440.CrossRef
Zurück zum Zitat Teo, T. (2013). An initial development and validation of a digital native’s assessment scale (DNAS). Computers and Education, 67, 51–57.CrossRef Teo, T. (2013). An initial development and validation of a digital native’s assessment scale (DNAS). Computers and Education, 67, 51–57.CrossRef
Zurück zum Zitat Teo, T. (2014). Unpacking teachers’ acceptance of technology: Tests of measurement invariance and latent mean differences. Computers and Education, 75, 127–135.CrossRef Teo, T. (2014). Unpacking teachers’ acceptance of technology: Tests of measurement invariance and latent mean differences. Computers and Education, 75, 127–135.CrossRef
Zurück zum Zitat Teo, T., & Fan, X. (2013). Coefficient alpha and beyond: Issues and alternatives for educational research. The Asia-Pacific Education Research, 22(2), 209–213.CrossRef Teo, T., & Fan, X. (2013). Coefficient alpha and beyond: Issues and alternatives for educational research. The Asia-Pacific Education Research, 22(2), 209–213.CrossRef
Zurück zum Zitat Teo, T., Lee, C. B., & Chai, C. S. (2008). Understanding pre-service teachers’ computer attitudes: Applying and extending the technology acceptance model. Journal of Computer Assisted Learning, 24(2), 128–143.CrossRef Teo, T., Lee, C. B., & Chai, C. S. (2008). Understanding pre-service teachers’ computer attitudes: Applying and extending the technology acceptance model. Journal of Computer Assisted Learning, 24(2), 128–143.CrossRef
Zurück zum Zitat Teo, T., Lee, C. B., Chai, C. S., & Wong, S. L. (2009). Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: A multigroup invariance analysis of the technology acceptance model (TAM). Computers and Education, 53(3), 1000–1009.CrossRef Teo, T., Lee, C. B., Chai, C. S., & Wong, S. L. (2009). Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: A multigroup invariance analysis of the technology acceptance model (TAM). Computers and Education, 53(3), 1000–1009.CrossRef
Zurück zum Zitat Teo, T., Ursavas, O. F., & Bahcekapili, E. (2012). An assessment of pre-service teachers’ technology acceptance in Turkey: A structural equation modelling approach. The Asia-Pacific Education Researcher, 21(1), 199–210. Teo, T., Ursavas, O. F., & Bahcekapili, E. (2012). An assessment of pre-service teachers’ technology acceptance in Turkey: A structural equation modelling approach. The Asia-Pacific Education Researcher, 21(1), 199–210.
Zurück zum Zitat Teo, T., & Wong, S. L. (2013). Modelling key drivers of e-learning satisfaction among student teachers. Journal of Educational Computing Research, 48(1), 71–95.CrossRef Teo, T., & Wong, S. L. (2013). Modelling key drivers of e-learning satisfaction among student teachers. Journal of Educational Computing Research, 48(1), 71–95.CrossRef
Zurück zum Zitat Tung, F. C., & Chang, S. C. (2008). Nursing students’ behavioural intention to use online courses: A questionnaire survey. International Journal of Nursing Studies, 45, 1299–1309.CrossRef Tung, F. C., & Chang, S. C. (2008). Nursing students’ behavioural intention to use online courses: A questionnaire survey. International Journal of Nursing Studies, 45, 1299–1309.CrossRef
Zurück zum Zitat Turner, M., Kitchenham, B., Brereton, P., Charters, S., & Budgen, D. (2010). Does the technology acceptance model predict actual use? A systematic literature review. Information and Software Technology, 52(5), 463–479.CrossRef Turner, M., Kitchenham, B., Brereton, P., Charters, S., & Budgen, D. (2010). Does the technology acceptance model predict actual use? A systematic literature review. Information and Software Technology, 52(5), 463–479.CrossRef
Zurück zum Zitat Venkatesh, V. (1999). Creation of favourable user perceptions: Exploring the role of intrinsic motivation. MIS Quarterly, 23(2), 239–260.CrossRef Venkatesh, V. (1999). Creation of favourable user perceptions: Exploring the role of intrinsic motivation. MIS Quarterly, 23(2), 239–260.CrossRef
Zurück zum Zitat Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–366.CrossRef Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–366.CrossRef
Zurück zum Zitat Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.CrossRef Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.CrossRef
Zurück zum Zitat 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. 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.
Zurück zum Zitat Wallace, L. G., & Sheetz, S. D. (2014). The adoption of software measures: A technology acceptance model (TAM) perspective. Information and Management, 51, 249–259.CrossRef Wallace, L. G., & Sheetz, S. D. (2014). The adoption of software measures: A technology acceptance model (TAM) perspective. Information and Management, 51, 249–259.CrossRef
Zurück zum Zitat Williams, P. (2002). The learning Web: The development, implementation and evaluation of Internet-based undergraduate materials for the teaching of key skills. Active Learning in Higher Education, 3(1), 40–53.CrossRef Williams, P. (2002). The learning Web: The development, implementation and evaluation of Internet-based undergraduate materials for the teaching of key skills. Active Learning in Higher Education, 3(1), 40–53.CrossRef
Zurück zum Zitat Wong, K. T., Teo, T., & Russo, S. (2013). Interactive whiteboard acceptance: Applicability of the UTAUT model among student teachers. The Asia Pacific Education Researcher, 22(1), 1–10.CrossRef Wong, K. T., Teo, T., & Russo, S. (2013). Interactive whiteboard acceptance: Applicability of the UTAUT model among student teachers. The Asia Pacific Education Researcher, 22(1), 1–10.CrossRef
Zurück zum Zitat Wu, P. F. (2012). A mixed methods approach to technology acceptance research. Journal of the Association for Information Systems, 13(3), 172–187. Wu, P. F. (2012). A mixed methods approach to technology acceptance research. Journal of the Association for Information Systems, 13(3), 172–187.
Zurück zum Zitat Yi, M., & Hwang, Y. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59, 431–449.CrossRef Yi, M., & Hwang, Y. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59, 431–449.CrossRef
Zurück zum Zitat Yousafzai, S. Y., Pallister, J., & Foxall, G. (2007). Technology acceptance: A meta-analysis of the TAM: Part 2. Journal of Modelling in Management, 2(3), 251–280.CrossRef Yousafzai, S. Y., Pallister, J., & Foxall, G. (2007). Technology acceptance: A meta-analysis of the TAM: Part 2. Journal of Modelling in Management, 2(3), 251–280.CrossRef
Zurück zum Zitat Yuen, A. H. K. (2002). Gender differences in teacher computer acceptance. Journal of Technology and Teacher Education, 10(3), 365–382. Yuen, A. H. K. (2002). Gender differences in teacher computer acceptance. Journal of Technology and Teacher Education, 10(3), 365–382.
Zurück zum Zitat Zhao, Y., & Cziko, G. A. (2001). Teacher adoption of technology: A perceptual control theory perspective. Journal of Technology and Teacher Education, 9(1), 5–30. Zhao, Y., & Cziko, G. A. (2001). Teacher adoption of technology: A perceptual control theory perspective. Journal of Technology and Teacher Education, 9(1), 5–30.
Metadaten
Titel
Explaining the intention to use technology among university students: a structural equation modeling approach
verfasst von
Timothy Teo
Mingming Zhou
Publikationsdatum
01.08.2014
Verlag
Springer US
Erschienen in
Journal of Computing in Higher Education / Ausgabe 2/2014
Print ISSN: 1042-1726
Elektronische ISSN: 1867-1233
DOI
https://doi.org/10.1007/s12528-014-9080-3

Premium Partner