影响企业采用大数据分析的因素

IF 0.5 4区 管理学 Q4 BUSINESS Rae-Revista De Administracao De Empresas Pub Date : 2019-12-06 DOI:10.1590/s0034-759020190607
Juan-Pedro Cabrera-Sanchez, Ángel F VILLAREJO-RAMOS
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引用次数: 11

摘要

随着数据总量每两年翻一番,计算和数据存储的低廉价格,使大数据分析(BDA)成为企业获得竞争优势的理想工具。考虑到自由软件的可用性,为什么有些公司没有采用这些技术?为了回答这个问题,我们扩展了适用于BDA上下文的技术采用和技术模型使用的统一理论(UTAUT),增加了两个变量:使用阻力和感知风险。我们使用这些技术的实现级别将公司划分为BDA的用户和非用户。结构模型用偏最小二乘(PLS)评价。调查结果显示,良好基础设施的重要性超过了企业在实施基础设施时面临的困难。虽然计划使用大数据的公司期望获得强劲的业绩,但现有用户对其表现持怀疑态度。
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FACTORS AFFECTING THE ADOPTION OF BIG DATA ANALYTICS IN COMPANIES
With the total quantity of data doubling every two years, the low price of computing and data storage, make Big Data analytics (BDA) adoption desirable for companies, as a tool to get competitive advantage. Given the availability of free software, why have some companies failed to adopt these techniques? To answer this question, we extend the unified theory of technology adoption and use of technology model (UTAUT) adapted for the BDA context, adding two variables: resistance to use and perceived risk. We used the level of implementation of these techniques to divide companies into users and non-users of BDA. The structural models were evaluated by partial least squares (PLS). The results show the importance of good infrastructure exceeds the difficulties companies face in implementing it. While companies planning to use Big Data expect strong results, current users are more skeptical about its performance.
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来源期刊
CiteScore
1.30
自引率
12.50%
发文量
78
审稿时长
32 weeks
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