Emerging trends in the interplay between analytics and operations in MSMEs

Mani Venkatesh, Samuel Fosso Wamba, Angappa Gunasekaran and V. Venkatesh
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Mani Venkatesh: University of Manitoba [Winnipeg]
Samuel Fosso Wamba: TBS - Toulouse Business School
Angappa Gunasekaran: Penn State Harrisburg - Pennsylvania Commonwealth System of Higher Education (PCSHE) - Penn State System
V. Venkatesh: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School

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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.

Date: 2025-07-01
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Published in Annals of Operations Research, 2025, 350 (2), pp.355-364. ⟨10.1007/s10479-025-06704-7⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05399109

DOI: 10.1007/s10479-025-06704-7

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