Evaluation of Big Data Maturity in Iranian Public Universities

Moidian, Hanieh; Khadivar, آمنه; Rahimian, Samaneh

Evaluation of Big Data Maturity in Iranian Public Universities

Document Type : Original Article

Authors

hanieh moidian ¹

آمنه khadivar ²

samaneh rahimian ³

¹ Master's degree, Department of Management, Faculty of Social Sciences and Economics, Al-Zahra University (S), Tehran, Iran

² Associate Professor, Department of Management, Faculty of Social Sciences and Economics, Al-Zahra University (S), Tehran, Iran

³ PhD in Information Technology Management, Department of Management, Faculty of Management, University of Tehran, Tehran, Iran

Abstract

Universities are influential and important organizations in society, where large amounts of data and information are produced and used. Considering the importance of using big data technology in universities, it is necessary to check how far Iranian universities have progressed in the subject of big data. The purpose of this article is to evaluate the maturity of big data in Iran's public universities. To achieve this goal, the TDWI model has been used to evaluate the maturity of big data in Iranian public universities. The questionnaire was sent to the entire statistical sample, and finally 50 completed questionnaires were received. Field method and standard questionnaire tools were used to collect data. Face validity was used to evaluate the validity of the questionnaire and Cronbach's alpha coefficient was used to evaluate the reliability.The results of the analysis showed that 2 universities are in the nascent stage of maturity, 27 universities are in the early stage, 16 universities are in the established stage and 5 universities are in the mature stage and there is no university at the advanced level of the maturity model. No relationship was found between the number of university students and big data maturity in universities, and the average level of big data maturity is significantly different between Tehran and city universities.In this study, based on the results, recommendations were provided to each of the universities participating in the survey to promote big data maturity.

Keywords

big data

maturity model

big data maturity model

big data in university

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