Alharbi, S. T. (2014, March). Trust and acceptance of cloud computing: A revised UTAUT model. In 2014 international conference on computational science and computational intelligence (Vol. 2, pp. 131-134). IEEE.
Atafar, A., Khazai pul, J. & Pur mostafa khoshk rudi, M. (2012). Affecting factors on adoption of information technology in the tourism industry.
Tourism Management Studies, 7(18), 133-156.
https://dorl.net/dor/20.1001.1.23223294.1391.7.18.7.1 [in Persian]
Benbasat, I., Dexter, A. S. & Mantha, R. W. (1980). Impact of organizational maturity on information system skill needs. MIS Quarterly, 4(1), 22-34.
Bhatiasevi, V. (2016). An extended UTAUT model to explain the adoption of mobile banking. Information Development, 32(4), 799-814.
https://doi.org/10.1177/0266666915570764
Biranvand, A. & Nikkar, M. (2012). Public libraries and cultural development. Tehran: Chapar. [in Persian]
Daghighi Masouleh, Z. & Allahyari, M. (2017). Organizational maturity effect on electronic readiness (a challenge in Islamic Azad University, Rasht branch).
Journal of New Approaches in Educational Administration, 8(2), 55-84.
https://dorl.net/dor/20.1001.1.20086369.1396.8.30.3.9
Fornell, C. & Larker, D. F. (1981). Evaluating structural equation models with unobservable variable and measurement error.
Journal of Marketing Research, 18(1), 9-50.
https://doi.org/10.1177/002224378101800104
Ghanei, M. (2014). Factors affecting the acceptance and application of information technologies based on an integrated model of acceptance and use of technology and task-technology appropriateness. Master Thesis of information science, Ferdouwsi University of Mashhad. [in Persian]
Hamidfar, M., Limayem, M., & Zegordi, S. H. (2008). Using the UTAUT model to explore Iranian physicians and nurses' intention to adopt electronic patient records. In CSREA EEE (pp. 420-426).
Hassanzadeh Samarin, T., Habibi, R. & Saberi, S. (2020). Investigating the mediating role of focus in strategy in the effect of organizational maturity on organizational performance of Alborz Tax Administration.
Studies of Strategic Management, 41(11), 161-174.
https://dorl.net/dor/20.1001.1.22286853.1399.11.41.10.9
Hsu, C. L., Chen, M. C., Lin, Y. H., Chang, K. C. & Hsieh, A. Y. (2014, April). Adopting the extension of UTAUT model to investigate the determinants of e-book adoption. In 2014 International Conference on Information Science, Electronics and Electrical Engineering (Vol. 1, pp. 669-673). IEEE.
Jahangir, G., Kiani, M. R. & Talebzadeh, M. (2020). The role of computer anxiety in acceptance of Iranian public library management system based on the unified theory of acceptance and use of technology.
Research on Information Science & Public Libraries, 26(2), 341-367.
http://dorl.net/dor/20.1001.1.26455730.1399.26.2.3.4 [in Persian]
Jalili, Z., Ashrafi- Rizi, H., Soleymani, M. R. & Afshar, M. (2017). Effective factors on the acceptance of Information technology by academic librarians of Isfahan based on TAM. Payvand –e- Salamat, 11(4), 400-410. [in Persian]
Kadivar, A., Ebrahimpoor Arangi, L., (2016). Identifying the effective factor of knowledge sharing system acceptance from knowledge workers' perspective.
Iranian Journal of Information Processing and Management 31(4), 1031-1048.
https://doi.org/10.35050/JIPM010.2016.002 [in Persian]
Kafashan, M. (2010). The use of technology acceptance theories in evaluating libraries' information technologies: A textual research approach.
Library and Information Sciences, 13(4), 193-218. Retrieved from
https://lis.aqr-libjournal.ir/article_43504_47538563a7ffa72e495285995acfd616.pdf?lang=en [in Persian]
Kijsanayotin, B., Pannarunothai, S. & Speedie, S. M. (2009). Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model.
International journal of medical informatics, 78(6), 404-416.
https://doi.org/10.1016/j.ijmedinf.2008.12.005
Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior.
Information System Research, 13(2), 205-223.
https://doi.org/10.1287/isre.13.2.205.83
Makkizadeh, F., Farajpahlou, A., Osareh, F., Sheniyailagh, M. (2012). Identification of factors affecting academic users’ acceptance of web-based databases: A grounded-theory approach.
Academic Librarianship and Information Research, 46(1), 59-81.
https://doi.org/10.22059/jlib.2012.28776 [in Persian]
Moghavvemi, S., Salleh, N. A. M. & Abessi, M. (2013). Determinants of IT-related innovation acceptance and use behavior: Theoretical integration of unified theory of acceptance and use of technology and entrepreneurial potential model. Socialines Technologijos, 3(2).243-260.
Najafi, E., Jafar Pour, M. & Hobbi, M. B. (2011). The study of effective behavioral variables on information technology acceptance in the organization (a case study in a military organization). Journal of Military Psychology, 2(7), 61-75. [in Persian]
Nazari, F., khosravi, F., Nooshinfard, F. (2012). Effective predictors on acceptance of online databases by university faculty members.
Library and Information Science Research, 2(2), 99-118.
https://doi.org/10.22067/riis.v2i2.13339 [in Persian]
Rezaee, M. (2009). Common theories on acceptance of information and communication technologies.
Communication Research, 16(60), 63-93.
https://doi.org/10.22082/cr.2009.23872
Saberi, M. (2017). The expansion of the Unified Theory of Acceptance and Use of Technology (UTAUT) Model by adding internet self-efficacy, cognitive and skillful variables among Iranian database users. Ph.D. Thesis, Ferdowsi University of Mashhad. [in Persian]
Saghafian, M., Laumann, K. & Skogstad, M. R. (2021). Stagewise Overview of Issues Influencing Organizational Technology Adoption and Use.
Frontiers in Psychology, 12, 630145.
https://doi.org/10.3389/fpsyg.2021.630145
Selder, A. (2005). Physician reimbursement and technology adoption.
Journal of Health Economics, 24(5), 907–930.
https://doi.org/10.1016/j.jhealeco.2005.03.004
Soltani, I. & Bahrami Nejad Joneghani, R. (2010). Determining the rate of organizational maturity effect on the excellence of organization in Mobarakeh Steel Company. Journal of Management Studies in Development & Evaluation, 20(62), 163-193. [in Persian]
Sun, H. & Zhang, P. (2006). The role of moderating factors in user technology acceptance.
International Journal of Human Studies, 64(2), 53-78.
https://doi.org/10.1016/j.ijhcs.2005.04.013
Tiwar, A. & Madalli, D. P. (2021). Maturity models in LIS study and practice.
Library & Information Science Research, 43(1), 101069.
https://doi.org/10.1016/j.lisr.2020.101069.
Venkatesh, V. & Zhang, X. (2010). Unified theory of acceptance and use of technology: US vs. China.
Journal of Global Information Technology Management, 13(1), 5-27.
https://doi.org/10.1080/1097198X.2010.10856507
Venkatesh, V., Morris, M. G., Davis, G. B., Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Venkatesh, V., Thong, James Y. L. & Xu, X. (2012). Consumer acceptance and use of Information technology: Extending the unified theory of acceptance and Use of Technology. MIS Quarterly, 36(1), 157-178.
Wetzels, M., Odekerken-Schroder, G. & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly, 33(1), 177-196.
Zabukovšek, S., Jordan, S. & Bobek, S. (2023). Managing document management systems’ life cycle in relation to an organization’s maturity for digital transformation.
Sustainability, 15(21), 15212.
https://doi.org/10.3390/su152115212
