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Education and Information Technologies

, Volume 23, Issue 3, pp 1123–1143 | Cite as

Measuring ICT orientation: Scale development & validation

  • Shabir Ahmad Bhat
  • Makhmoor Bashir
Article

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.

Keywords

ICT orientation SEM ICT skills Scale validation Job performance 

Notes

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

Supplementary material

References

  1. 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
  2. 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.CrossRefGoogle Scholar
  3. 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.CrossRefGoogle Scholar
  4. 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.
  5. 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.CrossRefGoogle Scholar
  6. Bashir, M., & Verma, R. (2016). Business model innovation: past, present, and the future. Prabandhan: Indian Journal of Management, 9(1), 8–20.CrossRefGoogle Scholar
  7. 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.CrossRefGoogle Scholar
  8. 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
  9. 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
  10. 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.Google Scholar
  11. 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.CrossRefGoogle Scholar
  12. Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.CrossRefMATHGoogle Scholar
  13. 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.CrossRefGoogle Scholar
  14. Buabeng-Andoh, C. (2015). ICT usage in Ghanaian secondary schools: teachers’ perspectives. The International Journal of Information and Learning Technology, 32(5), 300–312.CrossRefGoogle Scholar
  15. 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
  16. Churchill Jr., G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64–73.CrossRefGoogle Scholar
  17. 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), 1–9Google Scholar
  18. 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.CrossRefGoogle Scholar
  19. 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.
  20. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.CrossRefGoogle Scholar
  21. 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.CrossRefGoogle Scholar
  22. 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.CrossRefGoogle Scholar
  23. Giavrimis, P., Giossi, S., & Papastamatis, A. (2011). Teachers’ attitudes towards training in ICT: a critical approach. Quality Assurance in Education, 19(3), 283–296.CrossRefGoogle Scholar
  24. 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
  25. Hair, J. F., Anderson, R. E., Tatham, R. L. & Black, W. C. (1998). Multivariate data analysis, 5th ed., Prentice-Hall, Englewood Cliffs.Google Scholar
  26. 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
  27. Hinkin, T. R. (1995). A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods, 1(1), 104–121.CrossRefGoogle Scholar
  28. 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.CrossRefGoogle Scholar
  29. Joreskog, K. G., & Sorbom, D. (2004). LISREL 8.7. Chicago: Scientific Software International Inc..Google Scholar
  30. Judi, H. M., Sahari, N., Zin, N. A. M., & Yusof, Z. M. (2013). Framework of ICT Impact on Adolescent. Procedia Technology, 11, 1034–1040.CrossRefGoogle Scholar
  31. 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.CrossRefGoogle Scholar
  32. Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141–151.CrossRefGoogle Scholar
  33. 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
  34. 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.CrossRefGoogle Scholar
  35. Keith, T. Z. (2005). Multiple regression and beyond. Boston: Pearson.Google Scholar
  36. 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
  37. 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.Google Scholar
  38. 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.MathSciNetGoogle Scholar
  39. 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.CrossRefGoogle Scholar
  40. 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.CrossRefGoogle Scholar
  41. 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.
  42. 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.CrossRefGoogle Scholar
  43. 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.Google Scholar
  44. Ministry of Education. (2006). Education development blueprint 2006–2010. Kuala Lumpur: Ministry of Education.Google Scholar
  45. 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.CrossRefGoogle Scholar
  46. Nunnally, J. C. (1978). Psychometric theory. New York: McGraw-Hill.Google Scholar
  47. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.Google Scholar
  48. 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
  49. 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.CrossRefGoogle Scholar
  50. 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
  51. Pathak, R. P., & Chaudhary, J. (2012). Eduction technology. India: Pearson Publishers.Google Scholar
  52. 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.CrossRefGoogle Scholar
  53. 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.CrossRefGoogle Scholar
  54. 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.CrossRefGoogle Scholar
  55. 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
  56. 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
  57. Sonnentag, S., Volmer, J., & Spychala, A. (2008). Job performance. In The sage handbook of organizational behavior, 1, pp. 427–447.Google Scholar
  58. Stephens, K. K. (2007). The successive use of information and communication technologies at work. Communication Theory, 17(4), 486–507.CrossRefGoogle Scholar
  59. Tabachnick, B. G., & Fidell, L. S. (1996). Using multivariate statistics (3rd ed.). New York: Harper Collins College.Google Scholar
  60. 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.
  61. 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.CrossRefGoogle Scholar
  62. 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.
  63. 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
  64. 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.CrossRefGoogle Scholar
  65. 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
  66. Webster, C. (1990). Toward the measurement of the marketing culture of a service firm. Journal of Business Research, 21(4), 345–362.CrossRefGoogle Scholar
  67. 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.CrossRefGoogle Scholar
  68. 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.CrossRefGoogle Scholar

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© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Department of EducationLovely Professional UniversityJalandharIndia
  2. 2.Asian Business SchoolDelhiIndia

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