Purpose

This paper explores the effect the regional technological environment has on technology-driven performance, measured by enterprise resource planning (ERP).

Design/methodology/approach

This study specifies a productivity-based production function driven by ERP system adoption. Employing a quasi-experimental research design, the author disentangles two effects – the average effect of ERP adoption and the moderation effect of the regional technological environment. The novelty of this study is that it merges publicly available information retrieved via text-mining tools and official financial reports published by companies.

Findings

The total effect of technology adoption on productivity varies from almost 3%–9% in different technological environments. Moreover, this study’s results revealed that the regional technological environment could enhance the effect of adopting different ERP systems.

Originality/value

While some papers investigate the relationship between ERP adoption and firm performance regarding the environmental context of a firm, the effect of the regional technological environment on the relationship between technology adoption and firm performance is understudied. Thus, this research tries to contribute to a deeper understanding of the regional context's impact on technology-driven performance. The authors used automated content analysis to collect data on technology adoption; by doing so, this study contributes to the growing body of research utilising the text-mining approach to extract data stored in Internet-based information sources.

中文翻译：

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区域环境对 ERP 系统的采用有影响吗？来自俄罗斯的证据

目的

本文探讨了区域技术环境对通过企业资源规划 (ERP) 衡量的技术驱动绩效的影响。

设计/方法/途径

本研究指定了由 ERP 系统采用驱动的基于生产力的生产函数。采用准实验研究设计，作者区分了两种效应——采用 ERP 的平均效应和区域技术环境的调节效应。这项研究的新颖之处在于，它合并了通过文本挖掘工具检索到的公开可用信息和公司发布的官方财务报告。

发现

在不同的技术环境中，技术采用对生产力的总体影响从近 3% 到 9% 不等。此外，这项研究的结果表明，区域技术环境可以增强采用不同 ERP 系统的效果。

原创性/价值

虽然一些论文调查了 ERP 采用与企业绩效之间关于企业环境背景的关系，但研究了区域技术环境对技术采用与企业绩效之间关系的影响。因此，本研究试图有助于更深入地了解区域背景对技术驱动绩效的影响。作者使用自动内容分析来收集有关技术采用的数据；通过这样做，这项研究有助于越来越多的研究利用文本挖掘方法提取存储在基于 Internet 的信息源中的数据。