Academic articles
Practitioner articles
Working papers
Books
Book chapters
Case studies
Other publications
Subject(s)
Economics, politics and business environment; Ethics and social responsibility
Keyword(s)
exploitation, vignettes, fairness, power, distribution
ISSN (Online)
1540-5907
ISSN (Print)
0092-5853
Subject(s)
Human resources management/organizational behavior; Strategy and general management
Keyword(s)
Social networks, network ties, organizational research
ISSN (Online)
2631-7877
ISSN (Print)
2631-7877
Keyword(s)
financial statement analysis, machine learning, earnings forecasting
JEL Code(s)
C53, G10, M41
Volume
80
Subject(s)
Finance, accounting and corporate governance
Keyword(s)
IPOs, going public, external financing, organizational economics, human resource management
JEL Code(s)
G32, G34, M50, D20
ISSN (Online)
1540-6261
Subject(s)
Strategy and general management; Technology, R&D management
Keyword(s)
alliance termination; disintegration, innovation strategy, open innovation closure, relationship dissolution, tie dissolution
ISSN (Online)
2688-2639
ISSN (Print)
2688-2612
Subject(s)
Human resources management/organizational behavior
Keyword(s)
Holding environment, psychodynamic coaching, construct clarity
Volume
27
Journal Pages
1-20
Subject(s)
Ethics and social responsibility; Finance, accounting and corporate governance; Health and environment
Keyword(s)
biodiversity, nature, fixed income investing, sustainable investment, sustainable business
JEL Code(s)
Q56, Q57, G11, O16
Biodiversity loss is increasingly recognized as a material financial risk, yet its integration into fixed income investing remains at an early stage. This white paper examines how biodiversity considerations can be translated into practical investment strategies for fixed income portfolios. It reviews the financial relevance of biodiversity, current measurement approaches, and the limitations of existing biodiversity assessment tools. Drawing on an analysis of current market practices, biodiversity-themed investment products, and the evolving regulatory landscape, the paper identifies practical approaches for integrating biodiversity into portfolio construction through issuer selection, screening, and engagement. It concludes with a set of recommendations for developing biodiversity-themed fixed income strategies that balance investment objectives with emerging sustainability expectations.
Pages
30
Subject(s)
Strategy and general management
Subject(s)
Management sciences, decision sciences and quantitative methods; Product and operations management; Technology, R&D management
Keyword(s)
machine-learning, rational inattention, human-machine collaboration, cognitive effort
JEL Code(s)
L23, M11, O33, O31, D24
Problem definition: Artificial intelligence (AI) is rapidly transforming the research and practice of supply chain management. Yet its impact depends on how effectively it is integrated with the theories, methods, and fundamental principles of operations management (OM), which must also evolve to account for the informational, incentive, and institutional changes brought by AI. The OM community has an important role and responsibility to lead in shaping not only how AI transforms supply chains, but also how the supply chains that enable AI are designed to be sustainable, resilient, and equitable. Methodology/results: This vision statement organizes the discussion around five layers of the interaction between AI and supply chain management—intelligence, execution, strategy, human, and infrastructure. It synthesizes recent research and industry practice to show how AI enhances forecasting, planning, decisionmaking, risk management, and human–machine collaboration, and also examines the supply chains that support AI. Finally, it highlights persistent challenges in data quality, model integration, governance, and workforce adaptation. Managerial implications: Realizing AI’s promise in supply chain management requires reliable data and infrastructure, integration of learning and optimization, transparent and explainable decision systems, and a long-term commitment to human–AI collaboration. Together, these elements form the foundation for resilient, adaptive, and trustworthy supply chains in the AI era.
© 2026, INFORMS
Volume
28
Journal Pages
iv–xix, 687–1009, iii
ISSN (Online)
1526–5498
ISSN (Print)
1523-4614
Subject(s)
Entrepreneurship; Marketing; Strategy and general management; Technology, R&D management
Keyword(s)
radical innovation, sales performance, fear of failure, loss of face, sales support systems, change readiness