Call for paper: Revolutionizing Human-Centric Supply Chains with AI and Data Analytics

Revolutionizing Human-Centric Supply Chains with AI and Data Analytics

This SI broadly emphasizes the implications of emerging AI applications and Data Analytics (DA) as vital resources for enhancing Organization Sustainability (OS) and people’s livelihood (PL) in supply chains. Studies revolving around the role of AI and analytics in improving supply chain resilience, food, FMCG, services supply chains, and rural communities’ livelihoods will also be part of it. The inclusive papers may contain themes of empirical and qualitative studies, case studies, and mathematical and Machine Learning (ML) models discussing challenges faced by organizations, working communities, and individuals. Novel IS and managerial decision support models assessing IT impact on diverse geographies and cultures are probably parts of the proposed SI. The studies demonstrating innovative methods and approaches to address problems affecting PL issues and OS performance are also welcome. Confining the scope of such contemporary research would be discouraging; however, this SI invites cutting-edge research on AI, GenAI, and analytics to bridge human-centric supply chains with societal well-being, aligning with Industry 5.0 and UN-SDGs.

The expected outcome from this SI helps society and organizations to reinvent an integrated work policy and IT adoption framework in a collective and well-defined manner to improve supply chains, OS, and PL while reducing their damaging pitfalls. The expected outcome would assist in designing IT policies that provide transparency on using collected data to determine what will happen and how to make it happen concerning PL and OS. Based on experienced scenarios and diagnosed business situations, managers need to develop AI-driven predictive and prescriptive analytical models, such as ML and DA, to design a collaborative framework for societal wellbeing and PL while balancing their work performance.

The proposed issue invites the researchers, practitioners, and societal communities that engaged with IT product and service providers, IT experts, Software Engineers, consulting firms, human resource management, supply chain managers/experts, government organizations, and an individual to share their experiences during COVID-19 and other disruptions to investigate the impact of AI and analytics on the PL and OS. Policymakers, economists, agriculturists, government agencies, and entrepreneurs can also share their views on the impact of AI on OS, such as employee productivity, organizational performance, and PL aspects such as work culture, collaborations, and mental well-being. The researchers are expected to consider contemporary IT and analytics issues, review the existing theories, and suggest appropriate practices and models that can help assess their impact on sustainability and PL.

Topics of Interest

Role of AI, GenAI, and analytics in redesigning the supply chains for improving organizational performance through the lens of PL
GenAI applications for sustainable livelihoods and workforce resilience
Innovative AI tools, IS models, and collaborative strategies for PL and societal wellbeing
Machine Learning (ML) approaches and data visualization are used to investigate the impact of work policy amendments on PL and society
Business Analytics (BA) enhances human resources, work culture, and organizational performance
Data Analytics (DA) models for enhancing geographic and cultural diversities
Novel IS and managerial decision models for achieving OS and PL through IT adoption strategies, training, and awareness programs
Government policies in response to improving the OS and PL through DA
Designing a practical IT framework to economically, socially, and environmentally enhance rural developments
Pre-and-Post pandemic practices to mitigate associated barriers in PL and OS
Comparing the impact of technological adoption on PL: urban livelihoods vs rural livelihoods
Re-designing and improving business functions integration such as Finance, Marketing, and Supply Chain through Business Intelligence (BI)
Contribution of Industry 4.0/5.0 technology towards improving human-centric, sustainable, and resilient growth of organizations and society
Analytics for knowledge and educational supply chain and rural livelihood

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