Skip to main content

Advertisement

Log in

Measuring ICT orientation: Scale development & validation

  • Published:
Education and Information Technologies Aims and scope Submit manuscript

Abstract

This paper attempts to measure ICT orientation of higher education teachers in Indian context. The study has identified 4 factors of ICT orientation and examined their impact on Job performance. To generate the items, their purification and validation this study has adopted well accepted and renowned scale development procedures by Churchill (Journal of Marketing Research, 16(1), 64–73, 1979) and Hinkin (Organizational Research Methods, 1(1), 104–121, 1995). A one way ANOVA test is applied to test the relationship between 4 factors of ICT orientation and the demographics of respondents. The findings of this study present a 15 item 4 factor scale measuring ICT orientation of teachers among which “advantage” emerged out to be a significant factor. The study further highlighted that ICT orientation has a direct and positive relationship with job performance. This study is the foremost study, which has developed a valid and reliable scale for measuring the ICT orientation of teachers in Indian 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.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Ahmad, A. R. (2012). High job performance through Information and communication technology: skill, knowledge, attitude and readiness among academicians in public and private higher learning institutions in Malaysia. International Journal of Computer Science Issue, 9(2), 130–136.

    Google Scholar 

  • Alazam, A. O., Bakar, A. R., Hamzah, R., & Asmiran, S. (2013). Teachers’ ICT skills and ICT integration in the classroom: The case of vocational and technical teachers in Malaysia. Creative Education, 3(8), 70.

    Article  Google Scholar 

  • Albirini, A. (2006). Teachers attitude towards ICT: the case study of Syrien EFL (English as Foreign Language) Teachers. Journal of Computer and Education, 47, 373–398.

    Article  Google Scholar 

  • Aslan, A., & Zhu, C. (2016). Investigating variables predicting Turkish pre- service teachers’ integration of ICT into teaching practices. British Journal of Educational Technology. https://doi.org/10.1111/bjet.12437/full.

  • Bas, G., Kubiatko, M., & Sunbul, A. M. (2016). Teachers’ perceptions towards ICTs in teaching-learning process: Scale validity and reliability study. Computers in Human Behavior, 61, 176–185.

    Article  Google Scholar 

  • Bashir, M., & Verma, R. (2016). Business model innovation: past, present, and the future. Prabandhan: Indian Journal of Management, 9(1), 8–20.

    Article  Google Scholar 

  • Beacham, N., & McIntosh, K. (2014). Student teachers’ attitudes and beliefs towards using ICT within inclusive education and practice. Journal of Research in Special Educational Needs, 14(3), 180–191.

    Article  Google Scholar 

  • Bhat, S. A., & Beri, A. (2016a). ICT immersion in different domains of teaching profession-a literature review. International Journal of Indian Psychology, 3(3), 156–166.

    Google Scholar 

  • Bhat, S. A., & Beri, A. (2016b). ICT orientation: development and validation of ICTOR scale for teachers. Man in India, 96(9), 3123–3134.

    Google Scholar 

  • Blau, I., & Antonovsky, A. (2009). Teachers' openness to changes in professional and personal life. Unpublished work, Department of Education and Psychology, Open University of Israel. Ra'anana, Israel.

  • Blau, I., & Peled, Y. (2012). Teachers’ openness to change and attitudes towards ICT: comparison of laptop per teacher and laptop per student programs. Interdisciplinary Journal of e-Learning and Learning Objects, 8(1), 73–82.

    Article  Google Scholar 

  • Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.

    Book  MATH  Google Scholar 

  • Bove, L. L., Pervan, S. J., Beatty, S. E., & Shiu, E. (2009). Service worker role in encouraging customer organizational citizenship behaviors. Journal of Business Research, 62(7), 698–705.

    Article  Google Scholar 

  • Buabeng-Andoh, C. (2015). ICT usage in Ghanaian secondary schools: teachers’ perspectives. The International Journal of Information and Learning Technology, 32(5), 300–312.

    Article  Google Scholar 

  • Christensen, R. W., & Knezek, G. A. (2009). Construct validity for the teachers’ attitudes toward computers questionnaire. Journal of Computing in Teacher Education, 25(4), 143–155.

    Google Scholar 

  • Churchill Jr., G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64–73.

    Article  Google Scholar 

  • Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical assessment, research & evaluation, 10(7), 1–9

  • Edmunds, R., Thorpe, M., & Conole, G. (2012). Student attitudes towards and use of ICT in course study, work and social activity: a technology acceptance model approach. British Journal of Educational Technology, 43(1), 71–84.

    Article  Google Scholar 

  • Fluck A. & Dowden T. (2009). Can new teachers be ICT change-agents. Paper presented at Australian Association for Research in Education International Conference, Canberra. Available at: https://eprints.usq.edu.au/23955/1/Fluck_Dowden_AARE2009_PV.pdf. Accessed 28 Oct 2016.

  • 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 

  • Garg, R., Rahman, Z., & Qureshi, M. N. (2014). Measuring customer experience in banks: scale development and validation. Journal of Modelling in Management, 9(1), 87–117.

    Article  Google Scholar 

  • Gerbing, D. W., & Anderson, J. C. (1988). An updated paradigm for scale development incorporating unidimensionality and its assessment. Journal of Marketing Research, 25, 186–192.

    Article  Google Scholar 

  • Giavrimis, P., Giossi, S., & Papastamatis, A. (2011). Teachers’ attitudes towards training in ICT: a critical approach. Quality Assurance in Education, 19(3), 283–296.

    Article  Google Scholar 

  • Gulbahar, Y., & Guven, I. (2008). A survey on ICT usage and the perceptions of social studies teachers in Turkey. Journal of Educational Technology & Society, 11(3), 37–51.

    Google Scholar 

  • Hair, J. F., Anderson, R. E., Tatham, R. L. & Black, W. C. (1998). Multivariate data analysis, 5th ed., Prentice-Hall, Englewood Cliffs.

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

    Google Scholar 

  • Hinkin, T. R. (1995). A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods, 1(1), 104–121.

    Article  Google Scholar 

  • Hsu, S. (2010). Developing a scale for teacher integration of information and communication technology in grades 1–9. Journal of Computer Assisted Learning, 26(3), 175–189.

    Article  Google Scholar 

  • Joreskog, K. G., & Sorbom, D. (2004). LISREL 8.7. Chicago: Scientific Software International Inc..

    Google Scholar 

  • Judi, H. M., Sahari, N., Zin, N. A. M., & Yusof, Z. M. (2013). Framework of ICT Impact on Adolescent. Procedia Technology, 11, 1034–1040.

    Article  Google Scholar 

  • Kabakci Yurdakul, I., & Coklar, A. N. (2014). Modeling pre-service teachers’ TPACK competencies based on ICT usage. Journal of Computer Assisted Learning, 30(4), 363–376.

    Article  Google Scholar 

  • Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141–151.

    Article  Google Scholar 

  • Kaluyu, V., Wambugu, H., & Oduor, C. (2015). Impact of proficiency in information communication technology skills on job performance: a case of university quality assurance officers in Kenya. International Journal of Economics, Commerce and Management, 3(2), 1–12.

    Google Scholar 

  • Karatepe, O. M., Yavas, U., & Babakus, E. (2005). Measuring service quality of banks: scale development and validation. Journal of Retailing and Consumer Services, 12(5), 373–383.

    Article  Google Scholar 

  • Keith, T. Z. (2005). Multiple regression and beyond. Boston: Pearson.

    Google Scholar 

  • Kumar, P. G., & Ratnakar, R. (2011). A scale to measure farmers’ attitude towards ICT-based extension services. Indian Research Journal of Extension, 11(1), 109–112.

    Google Scholar 

  • Lee, S., Chang, S., Hou, J. & Lin, C. (2008). Night market experience and image of temporary residents and foreign visitors. International Journal of Culture, Tourism and Hospitality Research,2(3), 217–233.

  • Leng, N. W. (2011). Reliability and validity of an information and communications technology attitude scale for teachers. Asia-Pacific Education Researcher (De La Salle University Manila), 20(1), 162–170.

    MathSciNet  Google Scholar 

  • Limbu, Y. B., Jayachandran, C., & Babin, B. J. (2014). Does information and communication technology improve job satisfaction? The moderating role of sales technology orientation. Industrial Marketing Management, 43(7), 1236–1245.

    Article  Google Scholar 

  • Lin, J. C., & Hsieh, P. (2011). Assessing the self-service technology encounters: development and validation of SSTQUAL scale. Journal of Retailing, 85(2), 194–206.

    Article  Google Scholar 

  • MacKeogh, K. (2003). Student perceptions of the use of ICTs in European education: Report of a survey’, available at: http://doras.dcu.ie/569/1/mackeogh_icts_european_education.pdf. Accessed 20 Oct 2016.

  • Markauskaite, L. (2007). Exploring the structure of trainee teachers’ ICT literacy: the main components of, and relationships between, general cognitive and technical capabilities. Educational Technology Research and Development, 55(6), 547–572.

    Article  Google Scholar 

  • Mehra, V., & Far, Z. N. (2013). A scale to measure university teachers’ attitude towards ICT. International Journal of Teacher Educational Research, 2(7), 10–25.

  • Ministry of Education. (2006). Education development blueprint 2006–2010. Kuala Lumpur: Ministry of Education.

    Google Scholar 

  • Moradi Rekabdarkolaei, S., & Amuei, F. (2008). Evaluation of ICT literacy differences in trainee student teachers from the view of sexuality. Campus-Wide Information Systems, 25(3), 176–188.

    Article  Google Scholar 

  • Nunnally, J. C. (1978). Psychometric theory. New York: McGraw-Hill.

    Google Scholar 

  • Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.

    Google Scholar 

  • Oye, N. D., Iahad, N. A., & Rabin, Z. A. (2011). A model of ICT acceptance and use for teachers in higher education institutions. International Journal of Computer Science & Communication Networks, 1(1), 22–40.

    Google Scholar 

  • Papaioannou, P., & Charalambous, K. (2011). Principals’ attitudes towards ICT and their perceptions about the factors that facilitate or inhibit ICT integration in primary schools of Cyprus. Journal of Information Technology Education: Research, 10(1), 349–369.

    Article  Google Scholar 

  • Parsuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40.

    Google Scholar 

  • Pathak, R. P., & Chaudhary, J. (2012). Eduction technology. India: Pearson Publishers.

    Google Scholar 

  • Polo Peña, A. I., Frías Jamilena, D. M., & Rodríguez Molina, M. Á. (2011). Impact of market orientation and ICT on the performance of rural smaller service enterprises. Journal of Small Business Management, 49(3), 331–360.

    Article  Google Scholar 

  • Polo Peña, A. I., Frías Jamilena, D. M., & Rodríguez Molina, M. Á. (2013). Impact of customer orientation and ICT use on the perceived performance of rural tourism enterprises. Journal of Travel & Tourism Marketing, 30(3), 272–289.

    Article  Google Scholar 

  • Pourkarimi, J., & Nazarzadeh Zare, M. (2016). The assessment of ICT literacy of Iranian teachers through the ISST model. The International Journal of Information and Learning Technology, 33(4), 236–247.

    Article  Google Scholar 

  • Sarkar, S. (2012). The role of information and communication technology (ICT) in higher education for the 21st century. Science, 1(1), 30–41.

    Google Scholar 

  • Smalley, N., Graff, M., & Saunders, D. (2001). A revised computer attitude scale for secondary school students. Education and Psychology, 18(3), 47–57.

    Google Scholar 

  • Sonnentag, S., Volmer, J., & Spychala, A. (2008). Job performance. In The sage handbook of organizational behavior, 1, pp. 427–447.

  • Stephens, K. K. (2007). The successive use of information and communication technologies at work. Communication Theory, 17(4), 486–507.

    Article  Google Scholar 

  • Tabachnick, B. G., & Fidell, L. S. (1996). Using multivariate statistics (3rd ed.). New York: Harper Collins College.

    Google Scholar 

  • Tinio, V. L. (2003). ICT in education. Available at: E-primers for information economy, society and policy. http://www.E-primers.org/ICT/page2.asp . Accessed 2 Nov 2016.

  • Tondeur, J., van Braak, J., & Valcke, M. (2007). Towards a typology of computer use in primary education. Journal of Computer Assisted Learning, 23, 197–206.

    Article  Google Scholar 

  • Tondeur, J., Aesaert, K., Pynoo, B., Braak, J., Fraeyman, N., & Erstad, O. (2015). Developing a validated instrument to measure preservice teachers’ ICT competencies: Meeting the demands of the 21st century. British Journal of Educational Technology. https://doi.org/10.1111/bjet.12380/abstract.

  • Usluel, Y. K., Askar, P., & Bas, T. (2008). A structural equation model for ICT usage in higher education. Journal of Educational Technology & Society, 11(2), 262–273.

    Google Scholar 

  • Vanderlinde, R., Aesaert, K., & Braak, J. (2015). Measuring ICT use and contributing conditions in primary schools. British Journal of Educational Technology, 46(5), 1056–1063.

    Article  Google Scholar 

  • Vigneshwaran, & Dange, J. K. (2013). Development of a scale to measure self-confidence in ict integration of secondary school teachers. International Multidisciplinary e-Journal, 2(1), 103–108.

    Google Scholar 

  • Webster, C. (1990). Toward the measurement of the marketing culture of a service firm. Journal of Business Research, 21(4), 345–362.

    Article  Google Scholar 

  • Yuen, A. H., Law, N., & Wong, K. C. (2003). ICT implementation and school leadership: case studies of ICT integration in teaching and learning. Journal of Educational Administration, 41(2), 158–170.

    Article  Google Scholar 

  • Yunus, M. M., Nordin, N., Salehi, H., Embi, M. A., & Salehi, Z. (2013). The use of information and communication technology (ICT) in teaching ESL writing skills. English Language Teaching, 6(7), 1.

    Article  Google Scholar 

Download references

Acknowledgments

This research work required a lot of effort. It required high concentration and the whole hearted support of people from industry and academics without which it would not have been possible to accomplish. We therefore express our sincere thanks and gratitude to all the people who have been associated with the research paper

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shabir Ahmad Bhat.

Annexure A

Annexure A

figure a

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bhat, S.A., Bashir, M. Measuring ICT orientation: Scale development & validation. Educ Inf Technol 23, 1123–1143 (2018). https://doi.org/10.1007/s10639-017-9656-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10639-017-9656-4

Keywords

Navigation