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SPAR-4 and sustainable operations: A meta-analytic breakthrough
Madhu Arora1, Vasim Ahmad2, Arpit Walia2
1Symbiosis Institute of Computer Studies and Research, Symbiosis International (Deemed University), Pune, Maharashtra, India.
Analytics and sustainability are increasingly vital for operational strategies in industrialized economies. This research explores their connection to enhance competitive operational excellence.
Area of Science:
- Operations Management
- Business Analytics
- Sustainability Science
Background:
- Operations are a key competitive factor for industrialized economies in a deglobalized world, especially with new technologies.
- This study examines literature on analytics, operations, and sustainability to offer new research perspectives.
Purpose of the Study:
- To assess publications, nations, authors, and keywords in analytics, operations, and sustainability research.
- To understand the evolving role of sustainability in operational strategies.
- To identify research interconnections and emerging themes.
Main Methods:
- Bibliometric analysis using the SPAR-4 (Smart Prediction and Reporting for Analysis and Research) model.
- Systematic literature review and meta-analysis of important articles, trends, and contributors.
Main Results:
- Analytics plays a growing role in addressing sustainability challenges.
- Findings provide insights for aligning operational procedures with sustainable development goals.
Conclusions:
- This research deepens understanding of the research landscape in analytics, operations, and sustainability.
- Supports strategic decision-making for sustained competitive operational excellence.
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