Emerging trends in the interplay between analytics and operations in MSMEs

IF 4.5 3区管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE

Annals of Operations Research Pub Date : 2025-07-01 DOI:10.1007/s10479-025-06704-7

Mani Venkatesh, Samuel Fosso Wamba, Angappa Gunasekaran, V. G. Venkatesh

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引用次数: 0

Abstract

This editorial synthesizes the principal research trends and prospective directions emphasized in the special issue titled Emerging Trends in the Interplay between Analytics and Operations in MSMEs, published in Annals of Operations Research. The contributions underscore the transformative impact of analytics on Micro, Small, and Medium Enterprises (MSMEs), accentuating the integration of Industry 4.0 technologies, artificial intelligence (AI), machine learning, deep learning, blockchain, and big data analytics into operations management. Furthermore, the discussions illuminate emerging trends concerning the application of these technologies in MSMEs, presenting a future roadmap and directions regarding the interplay between analytics and operations. This also affirms a renewed focus on data analytics capabilities in enhancing operational efficiency, resilience, and sustainability within MSMEs. Prospective research directions encompass the development of transparent and responsible AI models, the addressing of implementation challenges related to business intelligence tools, and the fostering of dynamic capabilities to navigate the evolving digital landscape.

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中小微企业分析与运营之间相互作用的新趋势

这篇社论综合了在《运筹学年鉴》上发表的题为《中小微企业分析与运营相互作用的新趋势》的特刊中强调的主要研究趋势和未来方向。这些贡献强调了分析对微型、小型和中型企业（MSMEs）的变革性影响，强调了工业4.0技术、人工智能（AI）、机器学习、深度学习、区块链和大数据分析与运营管理的整合。此外，讨论阐明了有关这些技术在中小微企业中的应用的新兴趋势，提出了关于分析和运营之间相互作用的未来路线图和方向。这也肯定了对数据分析能力的重新关注，以提高中小微企业的运营效率、弹性和可持续性。未来的研究方向包括开发透明和负责任的人工智能模型，解决与商业智能工具相关的实施挑战，以及培养动态能力，以应对不断变化的数字环境。

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

Annals of Operations Research 管理科学-运筹学与管理科学

CiteScore

7.90

自引率

16.70%

发文量

596

审稿时长

8.4 months

期刊介绍： The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications. In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.