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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.
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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.
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. CrossRef
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. CrossRef
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. CrossRef
Bashir, M., & Verma, R. (2016). Business model innovation: past, present, and the future. Prabandhan: Indian Journal of Management, 9(1), 8–20. CrossRef
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. CrossRef
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.
Bhat, S. A., & Beri, A. (2016b). ICT orientation: development and validation of ICTOR scale for teachers. Man in India, 96(9), 3123–3134.
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. CrossRef
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. CrossRef
Buabeng-Andoh, C. (2015). ICT usage in Ghanaian secondary schools: teachers’ perspectives. The International Journal of Information and Learning Technology, 32(5), 300–312. CrossRef
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.
Churchill Jr., G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64–73. CrossRef
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. CrossRef
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. CrossRef
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. CrossRef
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. CrossRef
Giavrimis, P., Giossi, S., & Papastamatis, A. (2011). Teachers’ attitudes towards training in ICT: a critical approach. Quality Assurance in Education, 19(3), 283–296. CrossRef
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.
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.
Hinkin, T. R. (1995). A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods, 1(1), 104–121. CrossRef
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. CrossRef
Joreskog, K. G., & Sorbom, D. (2004). LISREL 8.7. Chicago: Scientific Software International Inc..
Judi, H. M., Sahari, N., Zin, N. A. M., & Yusof, Z. M. (2013). Framework of ICT Impact on Adolescent. Procedia Technology, 11, 1034–1040. CrossRef
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. CrossRef
Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141–151. CrossRef
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.
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. CrossRef
Keith, T. Z. (2005). Multiple regression and beyond. Boston: Pearson.
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.
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
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. CrossRef
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. CrossRef
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. CrossRef
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.
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. CrossRef
Nunnally, J. C. (1978). Psychometric theory. New York: McGraw-Hill.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.
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.
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. CrossRef
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.
Pathak, R. P., & Chaudhary, J. (2012). Eduction technology. India: Pearson Publishers.
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. CrossRef
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. CrossRef
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. CrossRef
Sarkar, S. (2012). The role of information and communication technology (ICT) in higher education for the 21st century. Science, 1(1), 30–41.
Smalley, N., Graff, M., & Saunders, D. (2001). A revised computer attitude scale for secondary school students. Education and Psychology, 18(3), 47–57.
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. CrossRef
Tabachnick, B. G., & Fidell, L. S. (1996). Using multivariate statistics (3rd ed.). New York: Harper Collins College.
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. CrossRef
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.
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. CrossRef
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.
Webster, C. (1990). Toward the measurement of the marketing culture of a service firm. Journal of Business Research, 21(4), 345–362. CrossRef
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. CrossRef
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. CrossRef
- Measuring ICT orientation: Scale development & validation
Shabir Ahmad Bhat
- Springer US
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