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Data analytics in small and mid-size enterprises: Enablers and inhibitors for business value and firm performance
International Journal of Accounting Information Systems ( IF 5.111 ) Pub Date : 2021-12-29 , DOI: 10.1016/j.accinf.2021.100547
Arif Perdana 1 , Hwee Hoon Lee 2 , SzeKee Koh 2 , Desi Arisandi 2
Affiliation  

A critical question arises as to whether data analytics (DA) can bring value and improve organizational performance. The benefit offered by DA can be achieved only when organizations are able to direct their attention on the conditioning factors that amplify business value. At the same time, organizations should cautiously resolve the issues that dampen DA business value. This study applied resource-based view (RBV) and the dual factor concept to understand such factors within the Small and Mid-size Enterprises (SMEs) context. The results revealed that information and systems qualities were the catalysts for data analytics business value, whereas lack of understanding and concerns over data security and privacy were the most salient predictors that could prevent SMEs from realizing DA business value. Our study highlights the importance of understanding both enablers and inhibitors in IT business value research. We also offer strategies to stakeholders to help SMEs realize DA business value.



中文翻译:

中小型企业的数据分析:商业价值和公司业绩的推动者和阻碍者

关于数据分析 (DA) 是否可以带来价值并提高组织绩效的关键问题出现了。只有当组织能够将注意力集中在放大业务价值的条件因素上时,才能实现 DA 提供的好处。同时,组织应谨慎解决影响 DA 业务价值的问题。本研究应用基于资源的观点 (RBV) 和双因素概念来理解中小型企业 (SME) 环境中的这些因素。结果表明,信息和系统质量是数据分析业务价值的催化剂,而对数据安全和隐私缺乏理解和担忧是阻碍中小企业实现 DA 业务价值的最突出的预测因素。我们的研究强调了在 IT 商业价值研究中理解促成因素和阻碍因素的重要性。我们还为利益相关者提供战略,帮助中小企业实现 DA 业务价值。

更新日期:2021-12-29
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