商业分析和公司绩效:结构化财务报表数据的作用

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Vincent G. Whitelock
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引用次数: 14

摘要

尽管商业分析受到了相当多的关注,但现有的研究对建立和传达分析与绩效之间关系的一般理解关注不足。为了减少已识别的知识差距,本研究提出了一个全面的理论框架来解释业务分析的关键类型,它们之间的关系,以及业务分析的使用如何影响运营和财务绩效。本研究提出了一个关键系统的组合,“整体思维/大局/决策”的方法来调节影响绩效的关键关系。此外,本研究提出了一个现实世界合同制造商的案例说明,采用所提出的框架,展示了集成业务分析的创新使用,以周转一个组织,并定位它的生存,繁荣,创新和成长。研究结果表明,那些“被数据淹没”并“努力使用”数据来改善业务结果的公司,在其组织中拥有一个可行的、具有成本效益的框架来提高业务分析能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Business analytics and firm performance: role of structured financial statement data
ABSTRACT Although business analytics has received its fair share of attention, extant research has paid insufficient attention to establishing and communicating a general understanding of the relationship between analytics and performance. In order to reduce the identified knowledge gap, this study proposes a comprehensive, theoretical framework to explain the key types of business analytics, their relationships, and how business analytics use impacts operational and financial performance. This study proposes a combination of critical systems, “holistic thinking/big picture/decision-making,” approaches to moderate key relationships to impact performance. Additionally, this study presents a case illustration of a real-world contract manufacturer, employing the proposed framework, to demonstrate the innovative use of integrated business analytics to turnaround an organization, and position it to survive, thrive, innovate, and grow. Findings indicate that firms, “overwhelmed by” and “struggling to use” data to improve business results, have a viable cost-effective framework to advance business analytics capability, in their organizations.
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来源期刊
Journal of Business Analytics
Journal of Business Analytics Business, Management and Accounting-Management Information Systems
CiteScore
2.50
自引率
0.00%
发文量
13
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