征稿期刊

Leadership & Organization Development Journal

期刊级别

SSCI (JCR 2023)

IF 4.2

Q2 (MANAGEMENT 111/407)

征稿主题

The Infinite Reach of Leadership in the Algorithmic Age: Power, Ethics, and Accountability in Organizational Development

细分领域

Redefining Organizational Power in the AI Era

The New Power Brokers: Examining how AI systems redefine organizational hierarchies, shifting influence from traditional leaders to technical architects.

Agentic Agents in the Organizational Chart: How should AI systems, as "agentic agents," be represented in organizational structures?

Algorithmic Decision-Making: Balancing automation and human oversight to ensure ethical outcomes and strategic alignment.

Accounting for AI in Organizational Strategy and Governance

AI in Financial and Strategic Reporting: Should AI maintenance, operational costs, and ROI be integrated into balance sheets and strategic plans akin to Sarbanes-Oxley compliance?

Predictive and Generative AI: Exploring synergies between predictive AI (efficiency) and generative AI (creativity) to maximize ROI and business impact.

Accountability Frameworks: How can organizations define responsibility for AI-driven errors in lawsuits or public controversies?

Leadership and the Ethics of Algorithmic Maintenance

Agentic Maintenance: What are the unconsidered consequences of maintaining AI agents, from biases to ethical lapses?

Labor and Automation: Contrasting human emotional responses (e.g., resentment of poor management) with the systemic risks of poorly maintained AI systems.

Ethical Risk Mitigation: Establishing proactive leadership practices to address algorithmic bias and unintended consequences.

The Political and Cultural Impacts of AI on Leadership

Cultural Considerations in AI Governance: How do global variations in regulatory frameworks and cultural values shape AI adoption?

AI’s Role in Democratic Erosion: Examining how leadership decisions involving AI impact democratic institutions and public trust.

Global Power Dynamics: Leadership challenges in navigating cross-border implications of AI-driven innovation.

Reframing Leadership Education for an AI-Driven Future

AI-Integrated Curriculum: Moving beyond traditional case studies to include the societal and ethical impacts of AI decisions.

The Genius Founder Myth: Teaching students to critically assess narratives of innovation in the context of regulatory, societal, and technological realities.

Building AI-Ethical Competencies: Developing frameworks to balance creativity, accountability, and long-term societal impact.

Methodologies and Frameworks for Organizational AI Leadership

Systems Thinking: How can leaders use interdisciplinary approaches to integrate AI into organizational strategy and governance?

Ethical ROI Metrics: Defining metrics for AI’s broader impact on creativity, market disruption, and customer engagement.

Predictive Models: Tools for aligning AI investments with measurable business outcomes and long-term strategy.

Practical Applications and Real-World Implications

Case Studies: Lessons from tech giants, oil and gas, and financial services on navigating AI’s challenges and opportunities.

Regulatory Alignment: Establishing compliance frameworks that bridge operational innovation and societal accountability.

Leadership Playbooks: Actionable strategies for managing AI’s transformative potential while mitigating risks.

重要时间

Submission Deadline: 30 June 2025