CFP last date
15 April 2024
Reseach Article

Adoption of Computer-Aided Technology (CAx) in Textile and Apparel Industries

by Mekonnen Wagaw
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 11
Year of Publication: 2017
Authors: Mekonnen Wagaw

Mekonnen Wagaw . Adoption of Computer-Aided Technology (CAx) in Textile and Apparel Industries. International Journal of Applied Information Systems. 11, 11 ( Mar 2017), 35-42. DOI=10.5120/ijais2017451655

@article{ 10.5120/ijais2017451655,
author = { Mekonnen Wagaw },
title = { Adoption of Computer-Aided Technology (CAx) in Textile and Apparel Industries },
journal = { International Journal of Applied Information Systems },
issue_date = { Mar 2017 },
volume = { 11 },
number = { 11 },
month = { Mar },
year = { 2017 },
issn = { 2249-0868 },
pages = { 35-42 },
numpages = {9},
url = { },
doi = { 10.5120/ijais2017451655 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-07-05T19:04:53.860942+05:30
%A Mekonnen Wagaw
%T Adoption of Computer-Aided Technology (CAx) in Textile and Apparel Industries
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 11
%N 11
%P 35-42
%D 2017
%I Foundation of Computer Science (FCS), NY, USA

The extended nature of industrial operations demanded the integration of information and communication technologies (ICT) and computer aided technology (CAx) in industrial processes. Although there are 130 textile and apparel industries in Ethiopia, the adoption of such technology is limited. Hence, this research studied factors affecting CAx adoption through the extension of the technology acceptance model of Davis (1989) by adding perceived competitive advantage, cost effectiveness, and perceived security. The finding revealed that perceived ease of use, perceived service, perceived competitive advantage, cost effectiveness, perceived security and perceived usefulness are significant predictors of intention to use CAx in textile and apparel industries.

  1. Hoogeweegen, M. R., Teunissen, W. J., Vervest, P. H., & Wagenaar, R. W. (1999). Modular network design: Using ICT to allocate production tasks in a virtual organization. Decision Sciences, 30(4), 1073-1103.
  2. Buhalis, D. (2004). eAirlines: strategic and tactical use of ICTs in the airline industry. Information & Management, 41(7), 805-825.
  3. FashionUnited, " Global fashion industry statistics - International apparel," FashionUnited, 2016. [Online]. Available: [Accessed 25 December 2016].
  4. CETEMMSA, F. P. Impact of Electronic Commerce on the Textile Industry.
  5. McNamara, K. (2008). The Global Textile and Garments Industry: the role of information and communication technologies (ICTs) in exploiting the value chain. InfoDev. www. infodev. org/en/Document, 582.
  6. Dankwort, C. W., Weidlich, R., Guenther, B., & Blaurock, J. E. (2004). Engineers' CAx education—it's not only CAD. Computer-Aided Design, 36(14), 1439-1450.
  7. Vezzetti, E., Alemanni, M., & Macheda, J. (2015). Supporting product development in the textile industry through the use of a product lifecycle management approach: a preliminary set of guidelines. The International Journal of Advanced Manufacturing Technology, 79(9-12), 1493-1504.
  8. Vezzetti, E., Alemanni, M., & Morelli, B. (2016). New product development (NPD) of ‘family business’ dealing in the luxury industry: evaluating maturity stage for implementing a PLM solution. International Journal of Fashion Design, Technology and Education, 1-11.
  9. Pols, D. v. (2015). Business Opportunity Report Ethiopia: Textile and Apparel Industry. Addis Ababa: Netherlands Embassy.
  10. Kitaw, D., & Matebu, (2016) A. Competitiveness for Ethiopian Textile and Garment Industries: A way forward.
  11. Zhang, X., Moorman, L., & Ayele, G. (2011). Infrastructure and cluster development: A case study of handloom weavers in rural Ethiopia. Journal of development studies, 47(12), 1869-1886.
  12. Pilat, D. D., Lee, F., & Van Ark, B. (2003). Production and use of ICT: A sectoral perspective on productivity growth in the OECD area. OECD Publishing.
  13. Rosen, A. (2002). The e-commerce question and answer book: a survival guide for business managers. AMACOM Div American Mgmt Assn.
  14. ETIDI. (2016) TIDI WEB SYTE PROJECT. [ONLINE] Available at: [Accessed 09 November 2016].
  15. Gholami, R., Moshiri, S., & Lee, S. Y. T. (2004). ICT and the Productivity of the Manufacturing Industries in Iran. The Electronic Journal of Information Systems in Developing Countries, 19.
  16. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, Mass.; Don Mills, Ontario: Addison-Wesley Pub. Co.
  17. Rogers, E. (1983). M. (1983). Diffusion of innovations. New York.
  18. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance ofF computer technology: a comparison of two theoretical models. Management science, 35(8), 982-1003.
  19. Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS quarterly, 213-236.
  20. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
  21. Segars, A. H., & Grover, V. (1993). Re-examining perceived ease of use and usefulness: A confirmatory factor analysis. MIS quarterly, 517-525.
  22. Doll, W. J., Hendrickson, A., & Deng, X. (1998). Using Davis's perceived usefulness and ease-of-use instruments for decision making: a confirmatory and multi-group invariance analysis. Decision Sciences, 29(4), 839-869.
  23. 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), 342-365.
  24. Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS quarterly, 227-247.
  25. Moghavvemi, S., Hakimian, F., Feissal, T., & Faziharudean, T. M. (2012). Competitive advantages through IT innovation adoption by SMEs. Socialines technologijos/Social Technologies, 2(1), 24-39.
  26. Pantano, E., & Di Pietro, L. (2012). Understanding consumer’s acceptance of technology-based innovations in retailing. Journal of technology management & innovation, 7(4), 1-19.
  27. Huiying, D., Tingjie, L., Whinston, A. B., & Jiale, L. (2010, April). An empirical study of consumer adoption on mobile data services (MDS) in China. In Multimedia and Information Technology (MMIT), 2010 Second International Conference on (Vol. 1, pp. 298-301). IEEE.
  28. Jahangir, N., & Begum, N. (2008). The role of perceived usefulness, perceived ease of use, security and privacy, and customer attitude to engender customer adaptation in the context of electronic banking. African Journal of Business Management, 2(2), 32.
  29. Easterby-Smith et al (2006) Management Research: An introduction, 2nd Edition, Sage Publications.
  30. Heyman R (2009) The reflexive paradigm in Social Research. In custom course materials EDER 603.16 L04. Case book, fall 2011 (p.51)
  31. Willis T.J et al (2007) World views, paradigms, and the practice of social science research. In Foundations of Qualitative Research (pp. 1-29). Thousand Oaks, CA: Sage Publications.
  32. De Vaus (2001) Research Design in Social Research. London: Sage Publications.
  33. Creswell j W. (2003) Research Design: Qualitative, Quantitative and Mixed Methods Approaches. Thousand Oaks: Sage
  34. Nunnaly, J. C. (1978) Psychometric Theory (2nd Ed.) New York: MCGraw-Hill.
  35. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.
  36. Kothari, C. R. (2004). Research methodology: Methods and techniques. New Age International.
  37. Seber, G. A., & Lee, A. J. (2012). Linear regression analysis (Vol. 936). John Wiley & Sons.
Index Terms

Computer Science
Information Sciences


Technology Adoption Technology Acceptance ICT Adoption ICT in industries CAx