جهت دسترسی به کاربرگه ی زیر، از این لینک استفاده کنید. http://localhost/handle/Hannan/4718
عنوان: Meta-synthesis of big data impacts on information systems development
پدیدآورنده: Saeed Rouhani;Sayna Rotbei;Mehdi Shamizanjani
کلید واژه ها: big data; information system development; meta-synthesis method
تاریخ انتشار: 2017
چکیده: Nowadays, it is common to think about big data and its consequences, especially in information systems (IS) room. This study investigated the effects of big data on the design and development of IS, and 167 articles were examined using meta-synthesis and the articles were selected for data extraction. Critical Appraisal Skills Program (CASP) was used to evaluate the quailty of the selected articles. The findings indicate that volume affects the layer of software engineering tools, but variety and velocity affect the layer of software engineering methods. Therefore, for the development of IS, it is essential to develop systems with specific capabilities.
آدرس: http://localhost/handle/Hannan/4718
ISSN: 2327-0012
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل اندازهفرمت  
57.pdf1.38 MBAdobe PDF
عنوان: Meta-synthesis of big data impacts on information systems development
پدیدآورنده: Saeed Rouhani;Sayna Rotbei;Mehdi Shamizanjani
کلید واژه ها: big data; information system development; meta-synthesis method
تاریخ انتشار: 2017
چکیده: Nowadays, it is common to think about big data and its consequences, especially in information systems (IS) room. This study investigated the effects of big data on the design and development of IS, and 167 articles were examined using meta-synthesis and the articles were selected for data extraction. Critical Appraisal Skills Program (CASP) was used to evaluate the quailty of the selected articles. The findings indicate that volume affects the layer of software engineering tools, but variety and velocity affect the layer of software engineering methods. Therefore, for the development of IS, it is essential to develop systems with specific capabilities.
آدرس: http://localhost/handle/Hannan/4718
ISSN: 2327-0012
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل اندازهفرمت  
57.pdf1.38 MBAdobe PDF
عنوان: Meta-synthesis of big data impacts on information systems development
پدیدآورنده: Saeed Rouhani;Sayna Rotbei;Mehdi Shamizanjani
کلید واژه ها: big data; information system development; meta-synthesis method
تاریخ انتشار: 2017
چکیده: Nowadays, it is common to think about big data and its consequences, especially in information systems (IS) room. This study investigated the effects of big data on the design and development of IS, and 167 articles were examined using meta-synthesis and the articles were selected for data extraction. Critical Appraisal Skills Program (CASP) was used to evaluate the quailty of the selected articles. The findings indicate that volume affects the layer of software engineering tools, but variety and velocity affect the layer of software engineering methods. Therefore, for the development of IS, it is essential to develop systems with specific capabilities.
آدرس: http://localhost/handle/Hannan/4718
ISSN: 2327-0012
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل اندازهفرمت  
57.pdf1.38 MBAdobe PDF