Anil Kumar

Senior Lecturer (Associate Professor) of Operations and Business Analytics

London Metropolitan University

United Kingdom

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About

Anil Kumar is a Senior Lecturer (Associate Professor) of Operations and Business Analytics at London Metropolitan University, UK. His research focuses on the intersection of artificial intelligence, sustainable development, and business analytics, particularly in areas such as agri-food supply chains, real estate tokenization, and ESG reporting. He has published extensively on the impact of technological advancements on sustainability and operational efficiency in various industries.

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Collaborators (2)

Jose Arturo Garza-Reyes

Professor of Operations Management and Head of the Centre for Suppy Chain Improvement

University of Derby

UNITED KINGDOM

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Arvind Upadhyay

Professor of International Trade, Supply Chain and Logistics

University of Stavanger

NORWAY

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Anil Kumar

Research Interests

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Articles (27)

Implementing AI in agri-food supply chain security from the multi-stakeholder perspective: an exploratory review and future directions

Tokenization and the future of property investment: A new paradigm for real estate

Sustainable Development Investment Decision: Do Environmental, Social and Governance (ESG) and Behavioral Biases Factors Matter?

Environmental, Social, and Governance (ESG) Reporting and Missing (M) Scores in the Industry 5.0 Era: Broadening Firms' and Investors' Decisions to Achieve Sustainable Development Goals

Next-gen quality learning: How can AI technologies shape education 4.0 and 5.0 towards the SDGs from multiple stakeholders' perspective?

The greenwash era is over, now performance matters: a Z-Number analysis of critical success factors and performance outcomes to achieve resource efficient digital circular supply chain management practices

Can prescriptive analytics empower metaverse for sustainable operations and supply chains? A text mining and introspective analysis

Can smart manufacturing benchmark the complex landscape of global success?

Do the innovative technological advancements foster the green transition pathways for industry 5.0? A perspective toward carbon neutrality

Drivers of implementing Big Data Analytics in food supply chains for transition to a circular economy and sustainable operations management

Circular economy startups and digital entrepreneurial ecosystems

Circular value creation through environmental entrepreneurship initiatives: A case‐based exploration

Designing a responsive-sustainable-resilient blood supply chain network considering congestion by linear regression method

Are metaverse applications in quality 4.0 enablers of manufacturing resiliency? An exploratory review under disruption impressions and future research

Unlocking circular supply chain 4.0: identifying key barriers through bibliometrics and TISM-MICMAC

Exploring the relationship between digitalization, resilient agri-food supply chain management practices and firm performance

Are we really addressing the roadblocks to adoption of renewable and sustainable energy technologies? Total interpretive structural modeling approach

Mobilising big data analytics capabilities to improve performance of tourism supply chains: the moderating role of dynamic capabilities

Measuring the financial impact of equipment performance improvement: ISB and IEB metrics

ARE WE THERE OR DO WE HAVE MORE TO DO? METAVERSE IN FACILITY MANAGEMENT AND FUTURE PROSPECTS

Enablers of post-COVID-19 customer demand resilience: evidence for fast-fashion MSMEs

Investigating the role of knowledge-based supply chains for supply chain resilience by graph theory matrix approach

Circular economy practices and environmental performance: Analysing the role of big data analytics capability and responsible research and innovation

Analysis of barriers of mHealth adoption in the context of sustainable operational practices in health care supply chains

Guest editorial: Performance measurement in supply chains during disruptions: lessons from the COVID-19 pandemic

Research developments in sustainable supply chain management considering optimization and industry 4.0 techniques: a systematic review

Resilient reverse logistics with blockchain technology in sustainable food supply chain management during COVID‐19

Collaborators (2)

Jose Arturo Garza-Reyes

Arvind Upadhyay

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