INTERNATIONAL JOURNAL OF PROFESSIONAL STUDIES

Exploring the Factors Influencing Information Technology Adoption in Manufacturing Economies During Conflict: Evidence from Iraq's Manufacturing Sector

Hayder Adil Abdul Raheem

Al- Nahrain University, Baghdad, Iraq, College of Business Economics, Department of Economics of Investment and Business Management

Mortada Mohsen Taher Al-Taie

Al- Nahrain University, Baghdad, Iraq, College of Business Economics, Department of Economics of Investment and Business Management

Download PDF

http://doi.org/10.37648/ijps.v21i01.018

Abstract

References

1. Awa, H. O., Ojiabo, O. U., & Orokor, L. E. (2017). Integrated technology-organization-environment (T-O-E) taxonomies for technology adoption. Journal of Enterprise Information Management, 30(6), 893–921. https://doi.org/10.1108/JEIM-03-2016-0079.
2. Battistoni, E., Gitto, S., Murgia, G., & Campisi, D. (2023). Adoption paths of digital transformation in manufacturing SME. International Journal of Production Economics, 255, 108675. https://doi.org/10.1016/j.ijpe.2022.108675.
3. Chatterjee, S., Rana, N. P., Dwivedi, Y. K., & Baabdullah, A. M. (2021). Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model. Technological Forecasting and Social Change, 170, 120880. https://doi.org/10.1016/j.techfore.2021.120880.
4. Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2018). The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of Production Economics, 204, 383–394. https://doi.org/10.1016/j.ijpe.2018.08.019.
5. Ekeoma, B. C., Ihechere, A. O., Idemudia, C., Olorunfemi, O. D., & Usman, F. O. (2024). Information technology adoption and small and medium enterprise performance: Does IT adoption reduce rural penalty in emerging and developing countries? Electronic Journal of Information Systems in Developing Countries, 90(3), e12325. https://doi.org/10.1002/isd2.12325.
6. Ghobakhloo, M., & Iranmanesh, M. (2021). Digital transformation success under Industry 4.0: A strategic guideline for manufacturing SMEs. Journal of Manufacturing Technology Management, 32(8), 1533–1556. https://doi.org/10.1108/JMTM-11-2020-0455.
7. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). SAGE Publications.
8. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8.
9. Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101.
10. Li, L. X., Ye, F., Zhan, Y. Z., Kumar, A., Schiavone, F., & Li, Y. N. (2022). Unraveling the performance puzzle of digitalization: Evidence from manufacturing firms. Journal of Business Research, 149, 54–64. https://doi.org/10.1016/j.jbusres.2022.05.028.
11. Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114–121. https://doi.org/10.1037/0021-9010.86.1.114.
12. Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., & Barbaray, R. (2020). The industrial management of SMEs in the era of Industry 4.0. International Journal of Production Research, 58(5), 1696–1714. https://doi.org/10.1080/00207543.2019.1636323.
13. Nekmahmud, M., & Fekete-Farkas, M. (2023). Digital technology adoption in SMEs: What technological, environmental and organizational factors influence in emerging countries? Journal of Small Business and Enterprise Development, 30(2), 299–327. https://doi.org/10.1177/09721509221137199.
14. Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879.
15. Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539–569. https://doi.org/10.1146/annurev-psych-120710-100452.
16. Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). Free Press.
17. Sekaran, U., & Bougie, R. (2022). Research Methods for Business: A Skill-Building Approach (8th ed.). John Wiley & Sons.
18. Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189.
19. Singh, T., & Garg, S. K. (2021). An extended technology-organization-environment framework to investigate smart manufacturing system implementation in small and medium enterprises. Computers & Industrial Engineering, 163, 107865. https://doi.org/10.1016/j.cie.2021.107865.
20. Taber, K. S. (2018). The use of Cronbach's alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2.
21. Vu, N. H., & Nguyen, N. M. (2022). Development of small-and medium-sized enterprises through information technology adoption persistence in Vietnam. Information Technology for Development, 28(4), 585–616. https://doi.org/10.1080/02681102.2021.1988694.
22. Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171–180. https://doi.org/10.1002/smj.4250050207.
23. Zhang, J., & Li, H. (2022). The impact of big data management capabilities on the performance of manufacturing firms in Asian economy during COVID-19. Frontiers in Psychology, 13, 833026. https://doi.org/10.3389/fpsyg.2022.833026.
24. Zheng, T., Ardolino, M., Bacchetti, A., & Perona, M. (2021). The applications of Industry 4.0 technologies in manufacturing context: A systematic literature review. International Journal of Production Research, 59(6), 1922–1954. https://doi.org/10.1080/00207543.2020.1824085.
25. Zhou, B., & Zheng, L. (2023). Technology-pushed, market-pulled, or government-driven? The adoption of Industry 4.0 technologies in a developing economy. Journal of Manufacturing Technology Management, 34(9), 115–138. https://doi.org/10.1108/JMTM-09-2022-0313.

Back