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The Performance Effects of Complementarities Between Information Systems, Marketing, Manufacturing, and Supply Chain Processes

机译:信息系统,营销,制造和供应链流程之间互补性的绩效影响

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Manufacturing firms are increasingly using advanced enterprise-level information systems to coordinate and synchronize externally oriented functions such as marketing and supply chain and internally oriented activities such as manufacturing. In this paper, we present a model of manufacturing performance that simultaneously considers the effects of a firm's integrated IS capability in conjunction with interfunctional and interorganizational coordination mechanisms. Consistent with the complementarity perspective, we view this specific form of IS capability as enhancing manufacturing's coordination with marketing and supply chain functions to drive manufacturing performance. Additionally, the theoretical model presented here introduces manufacturing-IS coordination, a form of coordination not considered in past research, as a key antecedent to integrated IS capability. The research thus provides a comprehensive framework for examining manufacturing performance in contexts that have been transformed by the use of advanced information systems. The theoretical model is tested using primary data collected from manufacturing firms and matched with objective manufacturing performance data from secondary sources. Results show that a firm's integrated IS capability, as well as the complementary effects of IS capability with manufacturing, marketing, and supply chain processes, are significant predictors of manufacturing performance. These findings are robust to concerns of endogeneity, unobserved heterogeneity, and alternative model specification.
机译:制造业公司越来越多地使用先进的企业级信息系统来协调和同步诸如营销和供应链之类的面向外部的功能,以及诸如制造业之类的面向内部的活动。在本文中,我们提出了一种制造绩效模型,该模型同时考虑了企业集成的IS能力以及功能和组织间协调机制的影响。与互补性观点一致,我们将这种IS能力的特定形式视为增强制造与市场营销和供应链功能之间的协调以驱动制造绩效。此外,这里介绍的理论模型引入了制造IS协调(这是过去研究中未考虑的一种协调形式),它是集成IS能力的关键先决条件。因此,该研究提供了一个全面的框架,用于在已经通过使用高级信息系统而改变的情况下检查制造性能。理论模型使用从制造公司收集的主要数据进行测试,并与来自次要来源的客观制造绩效数据进行匹配。结果表明,公司的集成IS能力以及IS能力与制造,市场营销和供应链流程的互补效应是制造绩效的重要预测指标。这些发现对于内生性,未观察到的异质性和替代模型规范的考虑是可靠的。

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