A FRAMEWORK TO BIG DATA METHODS FOR SMALL-MEDIUM FIRMS IN TRUCKING INDUSTRY
作者: Ileanna Gonzalez Chapellin Liang Chieh (Victor) Cheng
刊名: Journal of Academy of Business and Economics™, 2017, Vol.17 (1)
来源数据库: International Academy of Business and Economics
DOI: http://dx.doi.org/10.18374/JABE-17-1.3
关键词: FrameworkBig Datatruckinggenerateacquirestorageanalyzeimpact.
原始语种摘要: The trucking sector dominates the commercial transportation industry with more than 80% of the total revenue, and it is expected to grow 21% in the next 10 years. If we consider the enormous amount of data generated by the trucking industry, it becomes clear that there should be a clearly developed framework for generating, acquiring, and analyzing data for stakeholders to capitalize on. The framework generated in this project is specifically for small trucking companies. The framework indicates the methods to generate data, including: Enterprise data and Internet of Things; the process to Acquire Data, including GPS, sensors, cameras, internal HR and accounting software, etc. The methods are followed by the transmission and pre-processing of the data, explaining the importance of...
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关键词翻译
关键词翻译
  • FIRMS Forecasting Information Retrieval of Management System
  • trucking 汽车运输
  • analytics 分析学
  • importance 重要性
  • usage 使用率
  • revenue 收入
  • expected 预期
  • accounting 会计
  • sector 
  • working 开采