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The impact of advanced analytics and data accuracy on operational performance: a contingent resource based theory (RBT) perspective

机译：高级分析和数据准确性对运营绩效的影响：基于偶然资源的理论（RBT）观点

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This study is interested in the impact of two specific business analytic (BA) resources—accurate manufacturing data and advanced analytics—on a firms’ operational performance. The use of advanced analytics, such as mathematical optimization techniques, and the importance of manufacturing data accuracy have long been recognized as potential organizational resources or assets for improving the quality of manufacturing planning and control and of a firms’ overall operational performance. This research adopted a contingent resource based theory (RBT), suggesting that the moderating and mediating role of fact-based SCM initiatives as complementary resources. This research proposition was tested using Global Manufacturing Research Group (GMRG) survey data and was analyzed using partial least squares/structured equation modeling. The research findings shed light on the critical role of fact-based SCM initiatives as complementary resources, which moderate the impact of data accuracy on manufacturing planning quality and mediate the impact of advanced analytics on operational performance. The implication is that the impact of business analytics for manufacturing is contingent on contexts, specifically, the use of fact-based SCM initiatives such as TQM, JIT, and statistical process control. Moreover, in order for manufacturers to take advantage of the use of data and analytics for better operational performance, complementary resources such as fact-based SCM initiatives must be combined with BA initiatives focusing on data quality and advanced analytics.
机译：这项研究对两种特定的业务分析（BA）资源（准确的制造数据和高级分析）对公司运营绩效的影响感兴趣。长期以来，人们一直认为，使用诸如数学优化技术之类的高级分析方法以及制造数据准确性的重要性，已成为提高制造计划和控制质量以及企业整体运营绩效的潜在组织资源或资产。这项研究采用了基于偶然资源的理论（RBT），表明基于事实的SCM计划的调节和中介作用是补充资源。使用全球制造业研究小组（GMRG）的调查数据对这一研究主张进行了测试，并使用偏最小二乘/结构方程模型对其进行了分析。研究结果揭示了基于事实的SCM计划作为补充资源的关键作用，它可以缓和数据准确性对制造计划质量的影响，并调解高级分析对运营绩效的影响。这意味着业务分析对制造业的影响取决于上下文，特别是基于事实的SCM计划（例如TQM，JIT和统计过程控制）的使用。此外，为了使制造商能够利用数据和分析功能来获得更好的运营性能，必须将诸如基于事实的SCM计划之类的补充资源与侧重于数据质量和高级分析的BA计划相结合。

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