๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Research Handbook on Artificial Intelligence and Decision Making in Organizations

โœ Scribed by Ioanna Constantiou (editor), Mayur P. Joshi (editor), Marta Stelmaszak (editor)


Publisher
Edward Elgar Publishing
Year
2024
Tongue
English
Leaves
393
Series
Research Handbooks in Business and Management
Category
Library

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โœฆ Synopsis


Featuring state-of-the-art research from leading academics in technology and organization studies, this timely Research Handbook provides a comprehensive overview of how AI becomes embedded in decision making in organizations, from the initial considerations when implementing AI to the use of such solutions in strategic decision making.



Bringing together cutting-edge scholarship on the many issues and complexities surrounding the use of AI in decision making for organizations, this enlightening Research Handbook illustrates how technology is intertwined with organizational processes and outcomes. Contributors examine human-AI collaboration in welfare services, responsible AI governance, AI systems in medical imaging, and the ethical implications of AI use in practice. Furthermore, the editors propose an integrative framework for decision making in organizations that encompasses making decisions about AI, with AI, and the implications of decisions made by AI.



The Research Handbook will be essential reading for students, academics and researchers in business analytics, information systems, organizational innovation, organizational behavior, and organizational and occupational psychology. It will also be a valuable resource for business managers and AI engineers.

โœฆ Table of Contents


Front Matter
Copyright
Contents
Figures
Tables
Contributors
Introduction to Research Handbook on Artificial Intelligence and Decision Making in Organizations
PART I Making decisions about AI
1. Sourcing data for data-driven applications: foundational questions
2. Data work as an organizing principle in developing AI
3. Natural language processing techniques in management research
4. Captains donโ€™t navigate with a keyboard: developing AI for naturalistic decision-making
5. Reconfiguring humanโ€’AI collaboration: integrating chatbots in welfare services
6. Circumspection as a process of responsible appropriation of AI
7. Responsible AI governance: from ideation to implementation
PART II Making decisions with AI
8. Human judgment in the age of automated decision-making systems
9. Making decisions with AI in complex intelligent systems
10. Addressing the knowledge gap between business managers and data scientists: the case of data analytics implementation in a sales organization
11. Constructing actionable insights: the missing link between data, artificial intelligence, and organizational decision-making
12. It takes a village: the ecology of explaining AI
13. Synthetic stakeholders: engaging the environment in organizational decision-making
14. Interpretable artificial intelligence systems in medical imaging: review and theoretical framework
15. Artificial intelligence to support public sector decision-making: the emergence of entangled accountability
16. Contrasting humanโ€’AI workplace relationship configurations
PART III Implications of decisions made with AI
17. Who am I in the age of AI? Exploring dimensions that shape occupational identity in the context of AI for decision-making
18. Imagination or validation? Using futuring techniques to enhance AIโ€™s relevance in strategic decision-making
19. Artificial intelligence as a mechanism of algorithmic isomorphism
20. Ethical implications of AI use in practice for decision-making
Index


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