Meta-synthesis of big data impacts on information systems development

Abstract

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.

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.