Isbn: 9798170022502 - kernels of governance: applying advanced statistical methods to measure institutional readiness for artificial intelligence (4 resultados)

- Tapa blanda
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 11,37
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 10,44
Envío por EUR 3,87Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

- Tapa blanda
- Impresión bajo demanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 11,36
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: new. Paperback. Kernels of Governance explores how organizations can measure their institutional readiness for artificial intelligence using advanced statistical methods, moving beyond generic AI adoption scores and simplistic maturity models.As AI systems become increasingly autonomous, the critical question is no longer simply whether an organization uses AI, but whether its governance structures are prepared to manage the risks, responsibilities, and institutional transformations that accompany it.This book develops a quantitative framework for assessing institutional readiness for AI, combining statistical analysis, governance indicators, organizational characteristics, and measurable dimensions of institutional capacity. It examines how organizations can translate complex governance concepts into empirical measures that can be compared across institutions, sectors, and environments.Rather than treating AI readiness as a purely technological problem, Kernels of Governance approaches it as a question of institutional design, organizational capability, accountability, and decision-making capacity.The book is particularly relevant for researchers, policymakers, executives, consultants, and professionals working at the intersection of artificial intelligence, corporate governance, digital transformation, organizational strategy, and quantitative research.Readers will discover: A statistical approach to measuring institutional readiness for artificial intelligence.Methods for transforming abstract governance concepts into measurable variables.Quantitative techniques for comparing organizational and institutional capabilities.A framework for identifying gaps between AI ambitions and actual governance capacity.Insights into the relationship between technological transformation and institutional preparedness.A research-oriented perspective that can be adapted to different organizations, industries, and institutional environments.Kernels of Governance is ultimately about a fundamental challenge of the AI era: technology can advance faster than the institutions responsible for governing it. Measuring that gap is the first step toward understanding it-and closing it. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

- Tapa blanda
- Impresión bajo demanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 14,53
Envío por EUR 43,54Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponible
Paperback. Condición: new. Paperback. Kernels of Governance explores how organizations can measure their institutional readiness for artificial intelligence using advanced statistical methods, moving beyond generic AI adoption scores and simplistic maturity models.As AI systems become increasingly autonomous, the critical question is no longer simply whether an organization uses AI, but whether its governance structures are prepared to manage the risks, responsibilities, and institutional transformations that accompany it.This book develops a quantitative framework for assessing institutional readiness for AI, combining statistical analysis, governance indicators, organizational characteristics, and measurable dimensions of institutional capacity. It examines how organizations can translate complex governance concepts into empirical measures that can be compared across institutions, sectors, and environments.Rather than treating AI readiness as a purely technological problem, Kernels of Governance approaches it as a question of institutional design, organizational capability, accountability, and decision-making capacity.The book is particularly relevant for researchers, policymakers, executives, consultants, and professionals working at the intersection of artificial intelligence, corporate governance, digital transformation, organizational strategy, and quantitative research.Readers will discover: A statistical approach to measuring institutional readiness for artificial intelligence.Methods for transforming abstract governance concepts into measurable variables.Quantitative techniques for comparing organizational and institutional capabilities.A framework for identifying gaps between AI ambitions and actual governance capacity.Insights into the relationship between technological transformation and institutional preparedness.A research-oriented perspective that can be adapted to different organizations, industries, and institutional environments.Kernels of Governance is ultimately about a fundamental challenge of the AI era: technology can advance faster than the institutions responsible for governing it. Measuring that gap is the first step toward understanding it-and closing it. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…