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Firms' operational and logistics characteristics and realisation of business analytics benefits: evidence from stock markets

机译:企业的运营和物流特点和业务分析的实现福利:来自股票市场的证据

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摘要

The idea of 'big data' provides practitioners in the logistics industry with valuable opportunities to improve their operational efficiency and economic performance. In fact, business analytics techniques are increasingly being used in international logistics, shipping, and supply chain management. We examine the impact of business intelligence (BI) system adoption on firms' market value and the influences of the operating characteristics and contexts of firms. Specifically, we examine whether the impacts of BI adoption are contingent on industry competitiveness, firms' operating cycle, and industry munificence. Using the event study methodology, we analyse 272 manufacturing firms in the USA that adopted BI systems from 2005 to 2014. We find that BI adoption does not have an immediate impact on firms' stock returns, but such impact is significantly enhanced for firms in highly competitive industries, and those with short operating cycles and high industry munificence, i.e., high-growth industries, suggesting that firms in fast-changing dynamic environments find BI systems much more useful.
机译:“大数据”的想法为从业者提供了物流业的从业者,具有有价值的机会,以提高其运作效率和经济绩效。事实上,业务分析技术越来越多地用于国际物流,运输和供应链管理。我们研究了商业智能(BI)制度采用对公司市场价值的影响以及公司经营特征和企业的影响。具体而言,我们检查BI采用的影响是否取决于行业竞争力,公司的运营循环和行业曼尼克。利用事件研究方法,我们分析了美国2005年至2014年采用BI系统的272个制造公司。我们发现BI采用对公司的股票回报没有立即影响,但高度高度的公司对公司的显着增强了这种影响具有竞争力的行业,以及运营循环和高行业园区,即高增长行业的行业,建议在快速变化的动态环境中的公司发现BI系统更有用。

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