Given exponential growth in the size of big data, its multi-channel sources and variability in quality that create challenges concerning cost-effective use, firms have invested significantly in databases and analytical tools to inform decision-making. In this regard, one means to avoid the costs associated with producing less than insightful reports and negative effects on performance through wasted resources is prioritizing data in terms of relevance and quality. The aim of this study is to investigate this approach by developing and testing a scale to evaluate Big Data Availability and the role of Big Data Prioritization for more effective use of big data in decision-making and performance. Focusing on the context of supply chain management (SCM), we validate this scale through a survey involving 84 managers. Findings support a positive association between Big Data Availability and its use in SCM decision-making, and suggest that Big Data Prioritization, as conceptualized in the study, has a positive impact on the use of big data in SCM decision-making and SCM performance. Through developing a scale to evaluate association between Big Data Availability and use in SCM decision-making, we make an empirical contribution to value generation from big data.

鉴于大数据规模，其多渠道来源和质量变化成指数增长，从而带来了有关如何有效利用成本的挑战，因此企业已在数据库和分析工具方面投入了大量资金，以为决策提供依据。在这方面，一种避免因生成不足见解的报告而造成的成本以及通过浪费资源而对绩效产生负面影响的方法是，根据相关性和质量对数据进行优先级排序。本研究的目的是通过开发和测试一个量表来评估这种方法，以评估大数据可用性以及大数据优先级的作用，以更有效地利用大数据进行决策和绩效。着眼于供应链管理（SCM）的背景，我们通过涉及84位经理的调查来验证此规模。研究结果支持大数据可用性及其在SCM决策中的使用之间的正相关关系，并表明，如研究中所概念化的那样，大数据优先级排序对在SCM决策和SCM绩效中使用大数据具有积极影响。通过制定评估大数据可用性与SCM决策使用之间的关联的量表，我们为大数据的价值创造做出了实证性贡献。