Volume 7, Issue 2 (12-2020)
Human Information Interaction 2020, 7(2): 59-77 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
ghorbanizadeh V, Ghorbani Paji A. Meta-Analysis Study of the Effective Factors in the Application of Information Technology in the Iranian Organizations. Human Information Interaction 2020; 7 (2)
URL: http://hii.khu.ac.ir/article-1-2901-en.html
URL: http://hii.khu.ac.ir/article-1-2901-en.html
Allameh tabataba’i University
Abstract: (3896 Views)
Purpose: Application of Information Technology (IT) in organizations, is influenced by a myriad of factors within the context of individuals, organizations, and the environment. These factors might facilitate or hinder the correct use of information technology in the organizations. The main reason for organizations using information technology is to increase the organizational productivity. So, recognizing factors contributing to the application of IT can be vital for any organizations.
Methodology: Method applied was Meta-analysis which was computed by Comprehensive Meta Analysis (CMA2) software. Findings of the previous research conducted in the IT application in Iran were scrutinized with the aim of evaluating comparing the magnitude of each factor.
Findings: Findings recognized 27 factors from 65 studies. Among the 27 effective factors in the IT application: IT skills, organizational structure, organizational culture, motivation and organizational environment had the highest effect. Gender, education, and age had the lowest effects. In order to simplify the findings, factors were classified in three groups: individual factors, organizational factors and environmental factors of which organizational factors had the highest effect size with a score of 0.617 and individual factors had the lowest effect size with a score of 0.493.
Conclusion: Iranian organizations incorporating information technology must pay added attention to the dimensions of staff skills, organizational structure and employee motivation.
Methodology: Method applied was Meta-analysis which was computed by Comprehensive Meta Analysis (CMA2) software. Findings of the previous research conducted in the IT application in Iran were scrutinized with the aim of evaluating comparing the magnitude of each factor.
Findings: Findings recognized 27 factors from 65 studies. Among the 27 effective factors in the IT application: IT skills, organizational structure, organizational culture, motivation and organizational environment had the highest effect. Gender, education, and age had the lowest effects. In order to simplify the findings, factors were classified in three groups: individual factors, organizational factors and environmental factors of which organizational factors had the highest effect size with a score of 0.617 and individual factors had the lowest effect size with a score of 0.493.
Conclusion: Iranian organizations incorporating information technology must pay added attention to the dimensions of staff skills, organizational structure and employee motivation.
Keywords: Application of Information Technology, Meta-analysis, CMA2, Effect Size, Publication Bias, Test of Heterogeneity.
References
1. Abdolmohammadi, M., (2010). Factors associated with IT audits by internal audit function. International Journal of Accounting Information Systems, 11: 140-151 [DOI:10.1016/j.accinf.2010.07.004]
2. Abdul Hameed, Mumtaz; Counsell, Steve; & Swift, Stephen (2012) A Meta-analysis of Relationships between Organizational Characteristics and IT Innovation Adoption in Organizations, available online: http://v-scheiner.brunel.ac.uk /bitstream /2438/ 9092 /2/Fulltext. pdf
3. Appiahene, P., Ussiph, N., & Missah, Y. M. (2018). Information technology impact on productivity: a systematic review and meta-analysis of the literature. International Journal of Information Communication Technologies and Human Development (IJICTHD), 10(3), 39-61. [DOI:10.4018/IJICTHD.2018070104]
4. Chouki, M., Talea, M., Okar, C., & Chroqui, R. (2020). Barriers to information technology adoption within small and medium enterprises: A systematic literature review. International Journal of Innovation and Technology Management, 17(01), 2050007. [DOI:10.1142/S0219877020500078]
5. Eder, L. B., & Igbaria, M. (2001). Determinants of intranet diffusion and infusion. Omega, 29(3), 233-242. [DOI:10.1016/S0305-0483(00)00044-X]
6. Egger, H., & Egger, P. (2001). Cross-border sourcing and outward processing in EU manufacturing. The North American Journal of Economics and Finance, 12(3), 243-256. [DOI:10.1016/S1062-9408(01)00054-7]
7. Ghasemi, J., Nazari, S., Gharoon, Z., Rohani, H., Gholifar, E. (2011). Factors Affecting Use of Information and Communication Technology (ICT) by Agricultural Extension Experts, in Khorasan Razavi Province. Iranian Journal of Agricultural Economics and Development Research, 42(1), 93-104. (Persian)
8. Ghorbanizadeh, V.(2014). Meta-analysis research method, Bazetab Publications, first edition, Tehran. (Persian)
9. Hu, Z., Ding, S., Li, S., Chen, L., & Yang, S. (2019). Adoption intention of fintech services for bank users: An empirical examination with an extended technology acceptance model. Symmetry, 11(3), 340. [DOI:10.3390/sym11030340]
10. Hyesung, P. (2004). Factors that Affect Information Technology Adoption by Teachers, Available online: www.digitalcommons.unl.edu/dissertations.
11. Jeyaraj, A., & Dwivedi, Y. K. (2020). Meta-analysis in information systems research: Review and recommendations. International Journal of Information Management, 55, 102226. [DOI:10.1016/j.ijinfomgt.2020.102226]
12. Keengwe, J., Kidd, T., & Blankson, L. K. (2009). Faculty and technology: Implications
13. for faculty training and technology leadership. International Journal of
14. Educational Telecommunications, 1(21), 23-28.
15. Khaleghkha, A., & Babaei Manghari, M. M. (2016). Relationship between identity
16. propertys and computer anxiety with computer self-efficacy high schools students.
17. Educational Psychology, 39, 157-173. (in Persian).
18. Korpelainen, Eija (2011) Theories of ICT System Implementation and Adoption - A Critical Review, Working Paper, Department of Industrial Engineering and Managemnet, School of Science, Aalto University, Helsinki, Available on http://lib.tkk.fi/SCIENCE_TECHNOLOGY /2011 /isbn9789526041506.pdf
19. Lagzian, M., & Yaghma, S. (2011). An Empirical Study of the Factors Affecting Customers Adoption of E-banking Services.
20. Mahdavi, G., Karimi, Z. (2014). Assessment of Factors Influencing Tendency of Auditors to Use Achievments of Information Technology: The Independent Auditors' perspective. Journal of Knowledge Accounting, 5(16), 7-31. doi: 10.22103/jak.2014.659(Persian)
21. Mashayekhi, A. N., Farhangi, A. A., Moemeni, M., & Alidousti, S. (2005). An empirical study of the relationship between emotional intelligence and leadership style (transformational-transactional). Management Research in Iran, 9(20), 191-232. (Persian)
22. Nangir, S,T, H (2011). Meta-analysis of factors affecting the adoption of information technology in Iran, Master Thesis, Faculty of Management and Accounting, Allameh Tabatabai University. (Persian)
23. Nourban, E (2007) Information Technology in the Service of Management (Translation of Makoundi Message), Publisher: Ebroun, Tehran. (Persian)
24. Pooramini, Z., Bashokouh, M., Forouzande, S., & Bashokouh, H. (2019). Investigating the effect of applying information technology on formal and informal learning: The case of Isfahani high school managers and principals.
25. Premkumar, G., & Roberts, M. (1999). Adoption of new information technologies in rural small businesses. Omega, 27(4), 467-484. [DOI:10.1016/S0305-0483(98)00071-1]
26. Rostami, M., (2012) The Role of Factors Affecting the Acceptance and Application of Rural Youth Information and Communication Technology Based on Rogers Innovation Publishing Theory (Case Study: Oramanat Villages of Kermanshah Province), Library and Information Quarterly, No. 2, Volume 15-58, (Persian)
27. Safdari, R., Dargahi, H., Eshraghian, M. R., & Barzekar, H. (2011). Human factors affecting the application of information technology by TUMS middle managers in 2010. Journal of Payavard Salamat, 5(1), 24-31. (Persian)
28. Surendran, Priyanka (2012) Technology Acceptance Model: A Survey of Literature, International Journal of Business an Social Research (UBSR), Volume 2, No. 4, Available online: www.thejournalofbusiness.org/ index.php / site/article/download /161/160 .
29. Taylor, A. (2019). Applying the Technology Acceptance Model to Ascertain the Acceptance of Learning Technologies in International Students and Academics: A Case Study at Coventry University London (Doctoral dissertation, Coventry University).
30. Toulabi, M. (2014). Meta-analysis of research on the impact of information technology on productivity in Iran, Master Thesis, Faculty of Management and Accounting, Allameh Tabatabaei University (Persian).
31. Tsao, Hsiu-Yuan; Lin, Koong H.-C., (2004) An Investigation of Critical Success Factors In The Adoption of B2BEC By Taiwanese Companies, available online: https://pdfs.semanticscholar.org/bdc9/5993fdaf97ab33a49715d0501fa44b58691d.pdf
32. Zakeri, A., Rashid Hajikhajehlo, S., Zamanimanesh, H., & Jamali Tazehkand, M.
33. (2011). Identifying strategies for integration of information and communication
34. technology in post graduate studies in Shahid Rajaei Teacher Training University.
35. Investigation Program, Research and Technology Center. (in Persian).
Send email to the article author
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
