Knowledge, attitude, challenges of big data analytics based on information technology staffs point of view in a developing country
سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 220
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شناسه ملی سند علمی:
JR_IJIMI-9-1_012
تاریخ نمایه سازی: 30 مرداد 1401
چکیده مقاله:
Introduction: The skilled IT staff about big data analytics can motivate organizations to adopt the big data analytics. The aim of the current study is to present the knowledge, attitude, and challenges of the big data analytics based on IT staffs’ viewpoints in a developing country.Material and Methods: A self-administered semi-structured questionnaire was developed based on a literature review. Content validity and face validity were measured using Delphi technique. The questionnaire comprised of three parts including knowledge, attitude, and challenges. Descriptive statistics were used to summarize the results. The chi-square test was applied to identify associations between knowledge and attitude of participants with the demographic characteristics.Results: Out of a total of ۲۵۰ IT staffs, ۱۲۰ participated in the study. Knowledge levels were low, moderate, and high in ۳۵.۰%, ۳۳.۳%, and ۳۱.۷ % of the participants, respectively. The two most affecting factors on the knowledge level of participants were age groups and sex. IT staffs hold a positive attitude toward big data analytics. The most of IT staffs believed that big data management is necessary for the country and they agreed that big data analyzes can provide many advantages to organization managers. As well, ۳۵ challenges of the big data analytics were identified.Conclusion: The results showed that the big data analytics face with many problems in following issues: awareness and education, recruiting skilled specialists, presentation big data analytics benefits to IT managers and policy-makers, conducting research projects, developing a strategic plan at national and local levels.
کلیدواژه ها:
نویسندگان
Elham Nazari
PhD. Student of Medical Informatics, Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
Zahra Ebnehoseini
PhD. in Medical Informatics, Psychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
Zhila Agharezaei
PhD. Student of Medical Informatics, Department of Medical Informatics, faculty of medicine, Mashhad University of Medical Sciences, Mashhad, Iran
Hamed Tabesh
Assistant Professor, Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran