Using big data analytics (BDA) for improving decision-making performance in projects

IF 3.7 3区管理学 Q2 BUSINESS

Journal of Engineering and Technology Management Pub Date : 2024-10-01 DOI:10.1016/j.jengtecman.2024.101849

Jiwat Ram, Clément Desgourdes

引用次数: 0

Abstract

Big data analytics (BDA) is regarded as improving decision-making performance. As projects are confronted with a variety of constraints, BDA can help with timely and informed decision-making. However, little knowledge exists on the subject. Data collected through twenty-five semi-structured interviews was analyzed using NVivo. Results show that BDA improves project decision-making performance by providing insights on issues emerging throughout project lifecycle, prompting timely and rational decisions. However, not everyone is convinced, pointing out that organizations lack maturity in data management and face ethical/bias issues. Study makes six propositions in addition to its findings to advance the literature on BDA-driven decision-making.

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利用大数据分析（BDA）提高项目决策绩效

大数据分析（BDA）被认为可以提高决策绩效。由于项目面临各种制约因素，大数据分析有助于及时做出明智决策。然而，人们对这一主题知之甚少。我们使用 NVivo 对通过 25 个半结构式访谈收集到的数据进行了分析。结果表明，BDA 能够洞察整个项目生命周期中出现的问题，及时做出合理决策，从而提高项目决策绩效。然而，并非所有人都对此深信不疑，他们指出组织在数据管理方面不够成熟，并面临道德/偏见问题。除研究结果外，本研究还提出了六项主张，以推动有关 BDA 驱动决策的文献的发展。

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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来源期刊

Journal of Engineering and Technology Management 管理科学-工程：工业

CiteScore

8.00

自引率

6.20%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Engineering and Technology Management (JET-M) is an international scholarly refereed research journal which aims to promote the theory and practice of technology, innovation, and engineering management. The journal links engineering, science, and management disciplines. It addresses the issues involved in the planning, development, and implementation of technological capabilities to shape and accomplish the strategic and operational objectives of an organization. It covers not only R&D management, but also the entire spectrum of managerial concerns in technology-based organizations. This includes issues relating to new product development, human resource management, innovation process management, project management, technological fusion, marketing, technological forecasting and strategic planning. The journal provides an interface between technology and other corporate functions, such as R&D, marketing, manufacturing and administration. Its ultimate goal is to make a profound contribution to theory development, research and practice by serving as a leading forum for the publication of scholarly research on all aspects of technology, innovation, and engineering management.