Title:
BIG DATA APPLICATION: FROM IDENTIFYING BARRIERS TO FINDING SOLUTIONS

Authors:
Giang Thi Nguyen, Shu-Yi Liaw*, Taiwan

Abstract:

The rapid advancement of information and communication technology leads to a massive-scale data accumulation. This type of massive data is presented in structured, semi-structured and unstructured styles which are generated, recorded, stored and accumulated, to form big data (BD). BD has contributed immensely to improvements in several organizations and sectors upon application. However, due to the overrun of a data-driven revolution in management, a huge number of organizations are facing many barriers when they apply big data. It is crucial to get a better understanding of barriers organizations encounter when big data application is used. Based on a systematic review method, this article summarizes barriers to the adoption of big data including data, technology, organization, and environment. Thenceforth, the study also proposes potential solutions and to help organizations deal with the barriers of applying big data. Finally, a cycle of sustainable management for big data adoption is represented. This study is helpful for researchers and organizations to apply big data in the future.