Does the regional environment matter in ERP system adoption? Evidence from Russia

被引:2
|
作者
Daviy, Anna [1 ]
机构
[1] Natl Res Univ, Higher Sch Econ, St Petersburg, Russia
基金
俄罗斯科学基金会;
关键词
Technology adoption; ERP adoption; Firm productivity; Regional environment; Regional infrastructure; RESOURCE-BASED VIEW; INFORMATION-TECHNOLOGY; FIRM PERFORMANCE; EMPIRICAL-EVIDENCE; CLOUD ERP; ORGANIZATION; CAPABILITY; SOFTWARE; DETERMINANTS; PRODUCTIVITY;
D O I
10.1108/JEIM-11-2021-0488
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页码:437 / 458
页数:22
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