ارزیابی بلوغ کلان داده در دانشگاه‌های دولتی ایران

[1]    Chae, B. K. (2019). A general framework for studying the evolution of the digital innovation ecosystem: The case of big data. International Journal of Information Management, 45, 83–94. https://doi.org/10.1016/j.ijinfomgt.2018.10.023.
[2]    Baig, M.I., Shuib, L. & Yadegaridehkordi, E. Big data in education: a state of the art, limitations, and future research directions. Int J Educ Technol High Educ 17, 44 (2020). https://doi.org/10.1186/s41239-020-00223-0
[3]    Ur Rehman, M. H., Yaqoob, I., Salah, K., Imran, M., Jayaraman, P. P., & Perera, C. (2019). The role of big data analytics in industrial internet of things. Future Generation Computer Systems, 92, 578–588. https://doi.org/10.1016/j.future.2019.04.020.
[4]    Halper, F. (2020). TDWI Analytics Maturity Model. TDWI Research.
[5]    Fischer, C., Pardos, Z. A., Baker, R. S., Williams, J. J., Smyth, P., Yu, R., ... & Warschauer, M. (2020). Mining big data in education: Affordances and challenges. Review of Research in Education, 44(1), 130-160. https://doi.org/10.3102/0091732X20903304.
[6]    Al-Rahmi, W. M., Yahaya, N., Aldraiweesh, A. A., Alturki, U., Alamri, M. M., Saud, M. S. B., ... & Alhamed, O. A. (2019). Big data adoption and knowledge management sharing: An empirical investigation on their adoption and sustainability as a purpose of education. Ieee Access, 7, 47245-47258. https://doi.org/10.1109/ACCESS.2019.2906668
[7]    Yunita, A., Santoso, H. B., & Hasibuan, Z. A. (2021, June). Research review on big data usage for learning analytics and educational data mining: A way forward to develop an intelligent automation system. In Journal of Physics: Conference Series (Vol. 1898, No. 1, p. 012044). IOP Publishing. https://doi.org/10.1088/1742-6596/1898/1/012044
[8]    Peirong, G., & Jun, H. (2020). Experience and Enlightenment of Using Big Data for Scientific Research at Universities in Developed Countries. Frontiers in Educational Research, 3(1). https://doi.org/10.25236/FER.2020.030112 
[9]    Hamad, F., Fakhuri, H., & Abdel Jabbar, S. (2022). Big data opportunities and challenges for analytics strategies in Jordanian Academic Libraries. New Review of Academic Librarianship, 28(1), 37-60. https://doi.org/10.1080/13614533.2020.1764071
[10]    Jin, X., Wah, B. W., Cheng, X., & Wang, Y. (2015). Significance and challenges of big data research. Big data research, 2(2), 59-64. https://doi.org/10.1016/j.bdr.2015.01.006
[11]    Farah, B. (2017). A value based big data maturity model. Journal of Management Policy and Practice, 18(1), 11-18.‏
[12]    Al-Sai, Z. A., & Abdullah, R. (2019, April). A review on big data maturity models. In 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) (pp. 156-161). IEEE.‏ https://doi.org/10.1109/JEEIT.2019.8717398
[13]    Comuzzi, M., & Patel, A. (2016). How organisations leverage big data: A maturity model. Industrial management & Data systems.‏ https://doi.org/10.1108/IMDS-12-2015-0495
[14]    Al-Sai, Z. A., Husin, M. H., Syed-Mohamad, S. M., Abdullah, R., Zitar, R. A., Abualigah, L., & Gandomi, A. H. (2023). Big data maturity assessment models: a systematic literature review. Big Data and Cognitive Computing, 7(1), 2. https://doi.org/10.3390/bdcc7010002
[15]    Retrialisca, F., & Chotijah, U. (2020). The Maturity Measurement of Big Data Adoption in Manufacturing Companies Using the TDWI Maturity Model. Journal of Information Systems Engineering and Business Intelligence, 6(1), 70-78.‏ http://dx.doi.org/10.20473/jisebi.6.1.70-78 
[16]    Keele, S. (2007). Guidelines for performing systematic literature reviews in software engineering.
[17]    Braun, H. T. (2015). Evaluation of Big Data maturity models–a benchmarking study to support Big Data maturity assessment in organizations (Master's thesis).‏
[18]    Alizadeh Moghadam, S., Kordnaeij, A., Khodadad hosseini, S., Mohamadian, A. (2024). Identification and conceptualization of strategic decision-making drivers of digital transformation in Iranian apparel retail organizations. Management Research in Iran, 27(4), 59-88. [in Persian]
[19]    Zarei, A., feiz, D., Taheri, G. (2021). Providing Social Market Intelligence Framework based on web 2.0 Using Text-Mining Technique on Social Media Websites (Case Study: Competitive Analysis between Samsung and Emersun Brands). Management Research in Iran, 24(4), 98-125.
[20]    Sulfeeza Mohd Drus & Noor Hafizah Hassan. (2017). Big data maturity model –A preliminary evaluation. Proceedings of the 6th International Conference on Computing & Informatics (pp 613-620). Sintok: School of Computing. 
[21]    Yazdani, H. R., Sohrabi, B., & jalilian, M. (2021). Identifying Qualitative Indicators For Evaluating IoT Business Models Based On Big Data Analysis In The Smart City. Modern Research in Decision Making, 6(2), 125-154. [in Persian]
[22]    Eslami Nosratabadi, H., Tarokh, M. J., & Poorebrahimi, A. (2021). Fuzzy expert system to evaluation of bank branch performance using datamining. Modern Research in Decision Making, 6(4), 236-261. [in Persian]
[23]    Okuyucu ،A. ،& Yavuz ،N. (2020). Big Data Maturity Models For The Public Sector: A Review Of State And Organizational Level Models. Transforming Government: People ، Process And Policy. https://doi.org/10.1108/TG-09-2019-0085 
[24]    Hausladen ،I. ،& Schosser ،M. (2020). Towards a maturity model for big data analytics in airline network planning. Journal of Air Transport Management. https://doi.org/10.1016/j.jairtraman.2019.101721
[25]    Spruit, M., & Pietzka, K. (2015). MD3M: The master data management maturity model. Computers in Human Behavior, 51, 1068-1076.‏ https://doi.org/10.1016/j.chb.2014.09.030
[26]    Garousi, V., & van Veenendaal, E. (2021). Test Maturity Model integration (TMMi): Trends of worldwide test maturity and certifications. IEEE Software.‏ Systems Applied Research, Baltimore, MD (Vol. 2167, p. 1508). https://doi.org/10.1109/MS.2021.3061930‏
[27]    MOUHIB, S., ANOUN, H., RIDOUANI, M., & HASSOUNI, L. (2020, October). Towards a global big data maturity model. In 2020 Fourth International Conference On Intelligent Computing in Data Sciences (ICDS) (pp. 1-5). IEEE.‏ https://doi.org/10.1109/ICDS50568.2020.9268720
[28]    Pham, C. M. (2021). Building a maturity framework for big data cybersecurity analytics. Research Anthology on Privatizing and Securing Data, 365-385.‏ DOI: 10.4018/978-1-7998-8954-0.ch017