INTEGRATING REAL-TIME ANALYTICS AND COLLABORATIVE FRAMEWORKS IN AGILE WORKFORCE PLANNING: A MULTI-INDUSTRY STUDY ON ORGANIZATIONAL RESILIENCE AND STRATEGIC FLEXIBILITY POST-PANDEMIC
Abstract
The COVID-19 pandemic irrevocably altered global workforce dynamics, compelling organizations to adopt agile strategies that balance adaptability with operational stability. This study investigates the transformative role of real-time analytics and collaborative frameworks in enhancing organizational resilience and strategic flexibility across healthcare, technology, and manufacturing sectors. Through a mixed-methods approach—combining surveys of 120 organizations and in-depth case studies—the research identifies best practices for aligning workforce planning with dynamic business needs. Findings reveal that organizations leveraging integrated systems achieve 40% faster decision-making, 25% cost savings in reskilling, and 22% higher employee retention. The paper concludes with actionable recommendations for embedding agility into workforce ecosystems, emphasizing the need for cross-departmental collaboration, predictive analytics, and policy interventions to navigate post-pandemic uncertainties.
How to Cite
Yogesh Jain. (1). INTEGRATING REAL-TIME ANALYTICS AND COLLABORATIVE FRAMEWORKS IN AGILE WORKFORCE PLANNING: A MULTI-INDUSTRY STUDY ON ORGANIZATIONAL RESILIENCE AND STRATEGIC FLEXIBILITY POST-PANDEMIC. ACCENT JOURNAL OF ECONOMICS ECOLOGY & ENGINEERING (Special for English Literature & Humanities) ISSN: 2456-1037 IF:8.20, ELJIF: 6.194(10/2018), Peer Reviewed and Refereed Journal, UGC APPROVED NO. 48767, 10(2), 36-40. Retrieved from https://ajeee.co.in/index.php/ajeee/article/view/5119
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Articles