• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Information Processing & Management >Big data adoption: State of the art and research challenges
【24h】

Big data adoption: State of the art and research challenges

机译：大数据的采用：最新技术和研究挑战

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Big data adoption is a process through which businesses find innovative ways to enhance productivity and predict risk to satisfy customers need more efficiently. Despite the increase in demand and importance of big data adoption, there is still a lack of comprehensive review and classification of the existing studies in this area. This research aims to gain a comprehensive understanding of the current state-of-the-art by highlighting theoretical models, the influence factors, and the research challenges of big data adoption. By adopting a systematic selection process, twenty studies were identified in the domain of big data adoption and were reviewed in order to extract relevant information that answers a set of research questions. According to the findings, Technology-Organization-Environment and Diffusion of Innovations are the most popular theoretical models used for big data adoption in various domains. This research also revealed forty-two factors in technology, organization, environment, and innovation that have a significant influence on big data adoption. Finally, challenges found in the current research about big data adoption are represented, and future research directions are recommended. This study is helpful for researchers and stakeholders to take initiatives that will alleviate the challenges and facilitate big data adoption in various fields.
机译：大数据采用是企业寻找创新方法来提高生产力和预测风险以更有效地满足客户需求的过程。尽管需求增加和采用大数据的重要性，但仍缺乏对该领域现有研究的全面审查和分类。这项研究旨在通过突出理论模型，影响因素以及大数据采用的研究挑战，来全面了解当前的最新技术。通过采用系统的选择过程，在大数据采用领域确定了20项研究，并对其进行了审查，以提取可回答一系列研究问题的相关信息。根据调查结果，技术，组织，环境和创新扩散是在各个领域采用大数据的最受欢迎的理论模型。这项研究还揭示了在技术，组织，环境和创新方面有42个因素对大数据的采用产生了重大影响。最后，代表了当前有关大数据采用研究的挑战，并提出了未来的研究方向。这项研究有助于研究人员和利益相关者采取主动行动，减轻挑战并促进大数据在各个领域的采用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号