Business intelligence system adoption and the leveraging of reporting process capabilities

Adelaide Martins, Maria Teresa Bianchi de Aguiar, Marco Sambento, Manuel Castelo Branco
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Abstract

Purpose The purpose of this paper is to explore the integration of business intelligence (BI) systems in the digital transformation context and its impact on management control (MC) and organizational performance by delving into the implementation of a BI pilot project in a multinational Engineering and Construction (E&C) group. Design/methodology/approach This research adopts a qualitative insider action research approach. The initial stage of a BI system (BIS) is implemented by leveraging the critical success factors (CSFs) framework, based on the organizational, process and technological dimensions. Findings The results show that the BI solution leverages the capabilities of the reporting process with impacts on MC and overall organizational performance. The study uncovers the intricate dynamics of integrating BI and reports gains that span across streamlined and standardized processes, optimized use of resources, improved data flexibility and nurturing a data-driven culture. Originality/value This research adds to the current literature on MC and accounting information systems by providing an in-depth analysis of the early stages involved in implementing a BIS. The approach uses a well-established CSFs framework, which enhances the comprehension of how these factors impact the success of the implementation process. Focusing on the E&C sector, where the adoption of digital transformation is still gaining traction, this study provides practical knowledge and extends the theoretical understanding of BI technology applications with empirical evidence from the accounting field.
采用商业智能系统和利用报告流程功能
目的本文旨在通过深入研究某跨国工程与建设(E&C)集团的商业智能试点项目的实施情况,探讨数字化转型背景下的商业智能(BI)系统集成及其对管理控制(MC)和组织绩效的影响。研究结果表明,商业智能解决方案充分利用了报告流程的能力,对管理委员会和整体组织绩效产生了影响。研究揭示了整合商业智能和报告的复杂动态,这些动态涉及简化和标准化流程、优化资源使用、提高数据灵活性以及培育数据驱动文化。研究方法采用了一个成熟的 CSFs 框架,从而加深了对这些因素如何影响实施过程成功的理解。本研究侧重于采用数字化转型的机电行业,提供了实用知识,并通过会计领域的经验证据扩展了对商业智能技术应用的理论理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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