Skip to main content

Advertisement

Log in

Influence of teacher-perceived organisational culture and school policy on Chinese teachers’ intention to use technology: an extension of technology acceptance model

  • Cultural and Regional Perspectives
  • Published:
Educational Technology Research and Development Aims and scope Submit manuscript

Abstract

This study aimed to investigate the influences of organisational culture and teachers’ perception of the importance of policy on teachers’ technology acceptance in China. A total of 502 teachers from 30 Chinese universities filled in the questionnaire designed for the cross-sectional study, which measured teachers’ perceptions of the organisational culture in the universities in which they work, their perception of the importance of school policy regarding technology use, and their intention to use technology in teaching. The results of the structural equation modelling indicated that perceived usefulness, attitude towards using technology, organisational culture, and teacher perceptions of the importance of school policy on technology use were significant antecedents to teachers’ behavioural intention to use technology. Perceived usefulness and perceived ease of use significantly influenced attitude, and perceived ease of use significantly influenced perceived usefulness. In addition, organisational culture significantly influenced the perceived importance of school policy. The findings enriched the understanding of technology acceptance theories by empirically proving the role of organisational culture and the perceived importance of policy on teachers’ technology acceptance in the Chinese context.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  • Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes,50(2), 179–211.

    Article  Google Scholar 

  • Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018). Technology acceptance model in M-learning context: A systematic review. Computers & Education,125, 389–412.

    Article  Google Scholar 

  • Alvesson, M. (2002). Understanding organizational culture. London: Sage.

    Book  Google Scholar 

  • Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin,103, 411–423.

    Article  Google Scholar 

  • Barron, A. E., Kemker, K., Harmes, C., & Kalaydjian, K. (2003). Large-scale research study on technology in K–12 schools: Technology integration as it relates to the National Technology Standards. Journal of Research on Technology in Education,35(4), 489–507.

    Article  Google Scholar 

  • Becker, H. (2001). How are teachers using computers in instruction? Paper presented at the 2001 meeting of the American Educational Research Association. WA: Seattle.

    Google Scholar 

  • Birch, D., & Burnett, B. (2009). Bringing academics on board: Encouraging institution-wide diffusion of e-learning environments. Australasian Journal of Educational Technology,25(1), 117–134.

    Article  Google Scholar 

  • Carmines, E. G., & McIver, J. P. (1981). Analyzing models with unobserved variables. In G. W. Bohrnstedt & E. F. Borgatta (Eds.), Social measurement: Current issues (pp. 65–115). Beverly Hills, CA: Sage.

    Google Scholar 

  • Czerniewicz, L., & Brown, C. (2009). A study of the relationship between institutional policy, organisational culture and e-learning use in four South African universities. Computers & Education,53(1), 121–131.

    Article  Google Scholar 

  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly,13(3), 319–340.

    Article  Google Scholar 

  • Dawes, L. (2001). What stops teachers using new technology? In M. Leask (Ed.), Issues in teaching using ICT (pp. 61–79). London: Routledge.

    Google Scholar 

  • Deci, E. L., & Ryan, R. M. (2002). Handbook of self-determination research. Rochester, NY: University of Rochester Press.

    Google Scholar 

  • Devos, G., Bouckenooghe, D., Engels, N., Hotton, G., & Aelterman, A. (2007). An assessment of well-being of principals in Flemish primary schools. Journal of Educational Administration,45, 33–61.

    Article  Google Scholar 

  • Du, R., Liu, L., Straub, D. W., & Knight, M. B. (2017). The impact of espoused national cultural values on innovative behaviour: An empirical study in the Chinese IT-enabled global service industry. Asia Pacific Business Review,23(3), 354–372.

    Article  Google Scholar 

  • DuFour, R., & Berkey, T. (1995). The principal as staff developer. Journal of Staff Development,16(4), 2–6.

    Google Scholar 

  • Ertmer, P. A., & Ottenbreit-Leftwich, A. (2010). Teacher technology change. Journal of Research on Technology in Education,42(3), 255–284.

    Article  Google Scholar 

  • Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics,5(1), 1–4.

    Article  Google Scholar 

  • Fan, X., Miller, B. C., Park, K. E., Winward, B. W., Christensen, M., Grotevant, H. D., et al. (2006). An exploratory study about inaccuracy and invalidity in adolescent self-report surveys. Field Methods,18(3), 223–244.

    Article  Google Scholar 

  • Farrel, J. P. (2000). Why is educational reform so difficult? Similar descriptions, different prescriptions, failed explanations. Curriculum Inquiry,30(1), 83–103.

    Article  Google Scholar 

  • Fishbein, M., & Ajzen, I. (1975a). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Fishbein, M., & Ajzen, I. (1975b). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research,18(1), 39–50.

    Article  Google Scholar 

  • Fullan, M., & Stiegelbauer, S. (1991). The new meaning of educational change. New York: Teachers College Press.

    Google Scholar 

  • Hair, J. F., Jr., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Prentice Hall.

    Google Scholar 

  • Hennessy, S., Ruthven, K., & Brindley, S. (2005). Teacher perspectives on integrating ICT into subject teaching: Commitment, constraints, caution, and change. Journal of Curriculum Studies,37, 155–192.

    Article  Google Scholar 

  • Hofstede, G. (1980). Culture’s consequences: International differences in work-related values. Beverly Hills, CA: SAGE.

    Google Scholar 

  • Hofstede, G. (2008). Culture’s consequences: Comparing values, behaviors, institutions and organizations across nations (2nd ed.). Shanghai: Shanghai Foreign Language Education Press.

    Google Scholar 

  • Hoy, W. K., & Tarter, C. J. (1997). The road to open and healthy schools: A handbook for change (Elementary ed.). Thousand Oaks, CA: Corwin Press.

    Google Scholar 

  • Hu, Z., & McGrath, I. (2011). Innovation in higher education in China: Are teachers ready to integrate ICT in English language teaching? Technology, Pedagogy and Education,20(1), 41–59.

    Article  Google Scholar 

  • Huang, H. M., & Liaw, S. S. (2005). Exploring users’ attitudes and intentions toward the Web as a survey tool. Computers in Human Behavior,21(5), 729–743.

    Article  Google Scholar 

  • Huang, F., Teo, T., Sánchez-Prieto, J. C., García-Peñalvo, F. J., & Olmos-Migueláñez, S. (2019a). Cultural values and technology adoption: A model comparison with university teachers from China and Spain. Computers & Education,133, 69–81.

    Article  Google Scholar 

  • Huang, F., Teo, T., & Zhou, M. (2019b). Factors affecting Chinese English as a foreign language teachers’ technology acceptance: A qualitative study. Journal of Educational Computing Research,57(1), 83–105.

    Article  Google Scholar 

  • Huang, F., Teo, T., & Zhou, M. (2019c). Chinese students’ intentions to use the Internet for learning. Educational Technology Research and Development. https://doi.org/10.1007/s11423-019-09695-y.

    Article  Google Scholar 

  • Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers’ intention to use technology: TPACK, teacher self-efficacy, and technology acceptance model. Journal of Educational Technology & Society,21(3), 48–59.

    Google Scholar 

  • Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford Press.

    Google Scholar 

  • Leem, J., & Sung, E. (2019). Teachers’ beliefs and technology acceptance concerning smart mobile devices for SMART education in South Korea. British Journal of Educational Technology,50(2), 601–613.

    Article  Google Scholar 

  • Li, L. (2014). Understanding language teachers’ practice with educational technology: A case from China. System,46, 105–119.

    Article  Google Scholar 

  • Lim, C. P., & Khine, M. S. (2006). Managing teachers’ barriers to ICT integration in Singapore schools. Journal of Technology and Teacher Education,14(1), 97–125.

    Google Scholar 

  • Lok, P., & Crawford, J. (2004). The effect of organizational culture and leadership style on job satisfaction and organizational commitment. Journal of Management Development,23(4), 321–338.

    Article  Google Scholar 

  • Lund, D. B. (2003). Organizational culture and job satisfaction. Journal of Business & Industrial Marketing,18, 219–236.

    Article  Google Scholar 

  • Ma, W. W. K., Andersson, R., & Streith, K. O. (2005). Examining user acceptance of computer technology: An empirical study of student teachers. Journal of Computer Assisted Learning,21(6), 387–395.

    Article  Google Scholar 

  • Martins, E. C., & Terblanche, F. (2003). Building organizational culture that stimulates creativity and innovation. European Journal of Innovation Management,6, 64–74.

    Article  Google Scholar 

  • Maslowski, R. (2001). School culture and school performance: An explorative study into the organizational culture of secondary schools and their effects. Twente: Twente University Press.

    Google Scholar 

  • McCoy, S., Galletta, D. F., & King, W. R. (2007). Applying TAM across cultures: The need for caution. European Journal of Information Systems,16(1), 81–90.

    Article  Google Scholar 

  • Nistor, N., Lerche, T., Weinberger, A., Ceobanu, C., & Heymann, O. (2014). Towards the integration of culture into the Unified Theory of Acceptance and Use of Technology. British Journal of Educational Technology,45(1), 36–55.

    Article  Google Scholar 

  • O’Reilly, C. (1989). Corporations, culture, and commitment: Motivation and social control in organizations. California Management Review,31, 9–25.

    Article  Google Scholar 

  • Peterson, P., McCarthey, S., & Elmore, R. (1996). Learning from school restructuring. American Educational Research Journal,33, 119–153.

    Article  Google Scholar 

  • Pierce, R., & Ball, L. (2009). Perceptions that may affect teachers’ intention to use technology in secondary mathematics classes. Educational Studies in Mathematics,71(3), 299–317.

    Article  Google Scholar 

  • Raykov, T., & Marcoulides, G. A. (2008). An introduction to applied multivariate analysis. London: Routledge.

    Book  Google Scholar 

  • Ritter, N. L. (2017). Technology acceptance model of online learning management systems in higher education: A meta-analytic structural equation model. International Journal of Learning Management Systems,5, 1–15. https://doi.org/10.18576/ijlms/050101.

    Article  Google Scholar 

  • Roca, J. C., & Gagné, M. (2008). Understanding e-learning continuance intention in the workplace: A self-determination theory perspective. Computers in Human Behavior,24(4), 1585–1604.

    Article  Google Scholar 

  • Sang, G., Valcke, M., van Braak, J., Tondeur, J., & Zhu, C. (2011). Predicting ICT integration into classroom teaching in Chinese primary schools: Exploring the complex interplay of teacher-related variables. Journal of Computer Assisted Learning,27, 160–172.

    Article  Google Scholar 

  • Schein, E. H. (2004). Organizational culture and leadership (3rd ed.). San Francisco, CA: Jossey-Bass.

    Google Scholar 

  • Schein, E. H. (2010). Organizational culture and leadership (Vol. 2). San Francisco, CA: Wiley.

    Google Scholar 

  • Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education,128, 13–35.

    Article  Google Scholar 

  • Somekh, B. (2008). Factors affecting teachers’ pedagogical adoption of ICT. In J. Voogt & G. Knezek (Eds.), International handbook of information technology in primary and secondary education (pp. 449–460). New York: Springer.

    Chapter  Google Scholar 

  • Srite, M., & Karahanna, E. (2006). The role of espoused national cultural values in technology acceptance. MIS Quarterly,30(3), 679–704.

    Article  Google Scholar 

  • Staessens, K. (1990). The professional culture in elementary schools in Flanders: An empirical study in reformed primary education (Unpublished doctoral dissertation). Leuven, Belgium: Katholieke Universiteit Leuven.

    Google Scholar 

  • Straub, D., Keil, M., & Brenner, W. (1997). Testing the technology acceptance model across cultures: A three country study. Information & Management,33(1), 1–11.

    Article  Google Scholar 

  • Straub, D., Loch, K., Evaristo, R., Karahanna, E., & Srite, M. (2002). Toward a theory-based measurement of culture. Human Factors in Information Systems,10(1), 61–65.

    Article  Google Scholar 

  • Tarhini, A., Hone, K., Liu, X., & Tarhini, T. (2017). Examining the moderating effect of individual-level cultural values on users’ acceptance of e-learning in developing countries: A structural equation modeling of an extended technology acceptance model. Interactive Learning Environments,25(3), 306–328.

    Article  Google Scholar 

  • Tearle, P. (2003). ICT implementation: What makes the difference? British Journal of Educational Technology,34(5), 567–583.

    Article  Google Scholar 

  • Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education,52, 302–312.

    Article  Google Scholar 

  • Teo, T. (2011). Influence of user characteristics on teachers’ intention to use technology: Some research evidence. International Journal of Instructional Media,38(2), 115–124.

    Google Scholar 

  • Teo, T., & Huang, F. (2019). Investigating the influence of individually espoused cultural values on teachers’ intentions to use educational technologies in Chinese universities. Interactive Learning Environments,27(5–6), 813–829.

    Article  Google Scholar 

  • Teo, T., Huang, F., & Hoi, C. K. W. (2018). Explicating the influences that explain intention to use technology among English teachers in China. Interactive Learning Environments,26(4), 460–475.

    Article  Google Scholar 

  • Teo, T., & Zhou, M. (2017). The influence of teachers’ conceptions of teaching and learning on their technology acceptance. Interactive Learning Environments,25(4), 513–527.

    Article  Google Scholar 

  • Teo, T., Zhou, M., Fan, A. C. W., & Huang, F. (2019). Factors that influence university students’ intention to use Moodle: A study in Macau. Educational Technology Research and Development,67(3), 749–766.

    Article  Google Scholar 

  • Tsai, Y. R. (2015). Applying the technology acceptance model (TAM) to explore the effects of a Course Management System (CMS)-assisted EFL writing instruction. CALICO,32(1), 153–171.

    Article  Google Scholar 

  • Tuan, L. T., & Venkatesh, S. (2010). Organizational culture and technological innovation adoption in private hospitals. International Business Research,3(3), 144–153.

    Article  Google Scholar 

  • Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences,39(2), 273–315.

    Article  Google Scholar 

  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science,46, 186–204.

    Article  Google Scholar 

  • Wang, S. R. (2016). Interpretation of the guidelines on college English teaching. Foreign Language World,3, 2–10.

    Google Scholar 

  • Wong, G. K. (2015). Understanding technology acceptance in pre-service teachers of primary mathematics in Hong Kong. Australasian Journal of Educational Technology,31(6), 713–735.

    Article  Google Scholar 

  • Wong, G. K. (2016). The behavioral intentions of Hong Kong primary teachers in adopting educational technology. Educational Technology Research and Development,64(2), 313–338.

    Article  Google Scholar 

  • Wong, K. T., Teo, T., & Russo, S. (2012). Influence of gender and computer teaching efficacy on computer acceptance among Malaysian student teachers: An extended technology acceptance model. Australasian Journal of Educational Technology, 28(7), 1190–1207.

    Article  Google Scholar 

  • Sadaf, A., Newby, T. J., & Ertmer, P. A. (2012). Exploring pre-service teachers’ beliefs about using Web 2.0 technologies in K-12 classroom. Computers & Education,59(3), 937–945.

    Article  Google Scholar 

  • Yang, S. C., & Huang, Y. F. (2008). A study of high school English teachers’ behavior, concerns and beliefs in integrating information technology into English instruction. Computers in Human Behavior,24, 1085–1103.

    Article  Google Scholar 

  • Yue, X. (2006). Teaching-researching culture and teachers’ individuality development. Teacher Education Research,18(2), 27–32.

    Google Scholar 

  • Zhu, C. (2015). Organizational culture and technology-enhanced innovation in higher education. Technology, Pedagogy and Education,24(1), 65–79.

    Article  Google Scholar 

  • Zhu, C., Devos, G., & Li, Y. (2011). Teacher perceptions of school culture and their organizational commitment and well-being in a Chinese school. Asia Pacific Education Review,12(2), 319–328.

    Article  Google Scholar 

Download references

Acknowledgement

We thank for teachers who provided help in this study.

Funding

This study was supported by a project titled “Theme-based Teaching of Intercultural College English” (14CWYJ20), funded by Social Science Planning Office of Shandong Province, China.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fang Huang.

Ethics declarations

Conflict of interest

The authors have declared that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix A: Constructs and corresponding items

Appendix A: Constructs and corresponding items

Perceived usefulness (adapted from Davis 1989)

PU1:

Using technology enables me to efficiently use limited class time.

PU2:

Using technology enhances my teaching effectiveness.

PU3:

Using technology enriches my teaching materials.

PU4:

Using technology is useful in my job.

Perceived ease of use (adapted from Davis 1989)

PEU1:

I find it easy to get technology to do what I want to do

PEU2:

I find computers easy to use.

PEU3:

I find technology easy to learn.

PEU4:

I find it easy to become skilful at using technology.

Attitude towards use (adapted from Davis 1989)

AT1:

Technology makes work more interesting.

AT2:

Using technology in teaching is a good idea.

AT3:

Using technology in teaching is a wise choice.

Behavioural intention (adapted from Davis 1989)

BI1:

I will use technology in the future.

BI2:

I plan to use technology often.

BI3:

I will continue using technology.

BI4:

I expect that I will use technology in the future.

BI5:

I am sure I will use technology in the future.

Perceived importance of school technology-related policy (self-written)

PIOP1:

I believe it is important to know about technology-related policy requirements

PIOP2:

I believe it is necessary to know about technology-related policy requirements.

PIOP3:

I believe it is important to do what technology-related policy requires.

Dimensions of organisational culture

Goal orientation (adapted from Staessens 1990)

GO1:

In my university, teachers work together to accomplish common goals

GO2:

Our school team is enthusiastic

GO3:

Teachers support common goals

Leadership (adapted from Hoy and Tarter 1997)

LS1:

My school leaders help teachers use technology in teaching

LS2:

My school leaders praise teachers who use technology in teaching

LS3:

My school leaders explain their reasons for supporting teachers in using technology in teaching

LS4:

My school leaders encourage teachers to use technology in teaching

LS5:

My school leaders support teachers in using technology in teaching

Participative decision making (adapted from Devos et al. 2007)

PDM1:

In my university, leaders confer with teachers before important decisions are made

PDM2:

In my university, teachers can be involved in the decision-making process

PDM3:

In my university, teachers give suggestions for policy proposals

PDM4:

In my university, leaders encourage teachers to take the initiative to give suggestions

PDM5:

In my university, teachers’ opinions are considered in the decision-making process

Formal relationships (adapted from Hoy and Tarter 1997; Staessens 1990)

FR1:

Colleagues work together to find and share good teaching methods

FR2:

Consulting with colleagues provides great support for me

FR3:

To do better in my work, I often work together with colleagues

FR4:

My colleagues ask me what I am currently teaching and how I teach

FR5:

My colleagues share teaching experiences with me

Innovation orientation (adapted from Maslowski 2001)

IO1:

In my university, teachers have a positive attitude towards innovations

IO2:

In my university, teachers have a positive attitude towards new teaching tools and strategies

IO3:

In my university, teachers are expected to have an innovative attitude

IO4:

In my university, teachers are expected to try new teaching methods

IO5:

In my university, teachers are expected to have flexible attitudes towards change and innovations

Shared vision (self-written)

SV1:

In my university, teachers know a great deal about university plans

SV2:

In my university, teachers know what the university is striving for

SV3:

In my university, teachers know what the school aspires to be

SV4:

In my university, teachers are provided with specific suggestions or instructions to achieve their goals

SV5:

In my university, teachers are making joint efforts to realize a shared vision

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Huang, F., Teo, T. Influence of teacher-perceived organisational culture and school policy on Chinese teachers’ intention to use technology: an extension of technology acceptance model. Education Tech Research Dev 68, 1547–1567 (2020). https://doi.org/10.1007/s11423-019-09722-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11423-019-09722-y

Keywords

Navigation